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ORCIDAidong Zhang
Person information
- affiliation: University of Virginia, Charlottesville, VA, USA
- affiliation (former): University at Buffalo, USA
- award (2023): ACM Distinguished Service Award
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2020 – today
- 2025
[i41]Sanchit Sinha, Guangzhi Xiong, Aidong Zhang:
Leveraging Scale-aware Representations for improved Concept-Representation Alignment in ViTs. CoRR abs/2501.09221 (2025)- [i40]Jianhui Sun, Xidong Wu, Heng Huang, Aidong Zhang:
Client-Centric Federated Adaptive Optimization. CoRR abs/2501.09946 (2025) - [i39]Guangzhi Xiong, Qiao Jin, Xiao Wang, Yin Fang, Haolin Liu, Yifan Yang, Fangyuan Chen, Zhixing Song, Dengyu Wang, Minjia Zhang, Zhiyong Lu, Aidong Zhang:
RAG-Gym: Optimizing Reasoning and Search Agents with Process Supervision. CoRR abs/2502.13957 (2025) - [i38]Huimin Xu, Seungjun Yi, Terence Lim, Jiawei Xu, Andrew Well, Carlos M. Mery, Aidong Zhang, Yuji Zhang, Heng Ji, Keshav Pingali, Yan Leng, Ying Ding:
TAMA: A Human-AI Collaborative Thematic Analysis Framework Using Multi-Agent LLMs for Clinical Interviews. CoRR abs/2503.20666 (2025) - 2024
- [j114]Guangzhi Xiong
, Nathan Leroy, Stefan Bekiranov, Nathan C. Sheffield, Aidong Zhang:
DeepGSEA: explainable deep gene set enrichment analysis for single-cell transcriptomic data. Bioinform. 40(7) (2024) - [c290]Jiayi Chen, Aidong Zhang:
On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning. AAAI 2024: 11311-11319 - [c289]Jianhui Sun, Xidong Wu, Heng Huang, Aidong Zhang:
On the Role of Server Momentum in Federated Learning. AAAI 2024: 15164-15172 - [c288]Guangtao Zheng, Mengdi Huai, Aidong Zhang:
AdvST: Revisiting Data Augmentations for Single Domain Generalization. AAAI 2024: 21832-21840 - [c287]Guangzhi Xiong, Qiao Jin, Zhiyong Lu, Aidong Zhang:
Benchmarking Retrieval-Augmented Generation for Medicine. ACL (Findings) 2024: 6233-6251 - [c286]Lei Gong, Andrey Shor, Aidong Zhang, Kishlay Jha:
Context-Specific Feature Augmentation for Improving Social Determinants of Health Extraction. IEEE Big Data 2024: 1736-1745 - [c285]Sikun Guo, Amir Hassan Shariatmadari, Guangzhi Xiong, Aidong Zhang:
Embracing Foundation Models for Advancing Scientific Discovery. IEEE Big Data 2024: 1746-1755 - [c284]Daiqing Qi, Handong Zhao, Aidong Zhang, Sheng Li:
Generalizing to Unseen Domains via Text-Guided Augmentation: A Training-Free Approach. ECCV (69) 2024: 285-300 - [c283]Guangtao Zheng, Wenqian Ye, Aidong Zhang:
Benchmarking Spurious Bias in Few-Shot Image Classifiers. ECCV (80) 2024: 346-364 - [c282]Jiayi Chen, Aidong Zhang:
FedMBridge: Bridgeable Multimodal Federated Learning. ICML 2024 - [c281]Sanchit Sinha, Guangzhi Xiong, Aidong Zhang:
A Self-explaining Neural Architecture for Generalizable Concept Learning. IJCAI 2024: 503-511 - [c280]Guangtao Zheng, Wenqian Ye, Aidong Zhang:
Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation. IJCAI 2024: 5599-5607 - [c279]Sanchit Sinha, Guangzhi Xiong, Aidong Zhang:
CoLiDR: Concept Learning using Aggregated Disentangled Representations. KDD 2024: 2699-2710 - [c278]Sanchit Sinha, Yuguang Yue, Victor Soto, Mayank Kulkarni, Jianhua Lu, Aidong Zhang:
MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning. KDD 2024: 2711-2720 - [c277]Guangtao Zheng, Wenqian Ye, Aidong Zhang:
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers. KDD 2024: 4524-4535 - [c276]Nikhil Khandekar, Qiao Jin, Guangzhi Xiong, Soren Dunn, Serina S. Applebaum, Zain Anwar, Maame Sarfo-Gyamfi, Conrad W. Safranek, Abid A Anwar, Andrew Zhang, Aidan Gilson, Maxwell B. Singer, Amisha D. Dave, Andrew Taylor, Aidong Zhang, Qingyu Chen, Zhiyong Lu:
MedCalc-Bench: Evaluating Large Language Models for Medical Calculations. NeurIPS 2024 - [i37]Wenqian Ye, Guangtao Zheng, Xu Cao, Yunsheng Ma, Xia Hu, Aidong Zhang:
Spurious Correlations in Machine Learning: A Survey. CoRR abs/2402.12715 (2024) - [i36]Guangzhi Xiong, Qiao Jin, Zhiyong Lu, Aidong Zhang:
Benchmarking Retrieval-Augmented Generation for Medicine. CoRR abs/2402.13178 (2024) - [i35]Sanchit Sinha, Guangzhi Xiong, Aidong Zhang:
A Self-explaining Neural Architecture for Generalizable Concept Learning. CoRR abs/2405.00349 (2024) - [i34]Guangtao Zheng, Wenqian Ye, Aidong Zhang:
Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation. CoRR abs/2405.03649 (2024) - [i33]Sanchit Sinha, Yuguang Yue, Victor Soto, Mayank Kulkarni, Jianhua Lu, Aidong Zhang:
MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning. CoRR abs/2405.11446 (2024) - [i32]Guangtao Zheng, Wenqian Ye, Aidong Zhang:
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers. CoRR abs/2406.10742 (2024) - [i31]Nikhil Khandekar, Qiao Jin, Guangzhi Xiong, Soren Dunn, Serina S. Applebaum, Zain Anwar, Maame Sarfo-Gyamfi, Conrad W. Safranek, Abid A Anwar, Andrew Zhang, Aidan Gilson, Maxwell B. Singer, Amisha D. Dave, Andrew Taylor, Aidong Zhang, Qingyu Chen, Zhiyong Lu:
MedCalc-Bench: Evaluating Large Language Models for Medical Calculations. CoRR abs/2406.12036 (2024) - [i30]Wenqian Ye, Guangtao Zheng, Yunsheng Ma, Xu Cao, Bolin Lai, James M. Rehg, Aidong Zhang:
MM-SpuBench: Towards Better Understanding of Spurious Biases in Multimodal LLMs. CoRR abs/2406.17126 (2024) - [i29]Sanchit Sinha, Guangzhi Xiong, Aidong Zhang:
CoLiDR: Concept Learning using Aggregated Disentangled Representations. CoRR abs/2407.19300 (2024) - [i28]Guangzhi Xiong, Qiao Jin, Xiao Wang, Minjia Zhang, Zhiyong Lu, Aidong Zhang:
Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions. CoRR abs/2408.00727 (2024) - [i27]Guangtao Zheng, Wenqian Ye, Aidong Zhang:
Benchmarking Spurious Bias in Few-Shot Image Classifiers. CoRR abs/2409.02882 (2024) - [i26]Guangzhi Xiong, Sanchit Sinha, Aidong Zhang:
ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning. CoRR abs/2410.04723 (2024) - [i25]Sanchit Sinha, Guangzhi Xiong, Aidong Zhang:
Structural Causality-based Generalizable Concept Discovery Models. CoRR abs/2410.15491 (2024) - [i24]Qiao Jin, Nicholas Wan, Robert Leaman, Shubo Tian, Zhizheng Wang, Yifan Yang, Zifeng Wang, Guangzhi Xiong, Po-Ting Lai, Qingqing Zhu, Benjamin Hou, Maame Sarfo-Gyamfi, Gongbo Zhang, Aidan Gilson, Balu Bhasuran, Zhe He, Aidong Zhang, Jimeng Sun, Chunhua Weng, Ronald M. Summers, Qingyu Chen, Yifan Peng, Zhiyong Lu:
Demystifying Large Language Models for Medicine: A Primer. CoRR abs/2410.18856 (2024) - [i23]Guangzhi Xiong, Eric Xie, Amir Hassan Shariatmadari, Sikun Guo, Stefan Bekiranov, Aidong Zhang:
Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language Models. CoRR abs/2411.02382 (2024) - [i22]Sikun Guo, Amir Hassan Shariatmadari, Guangzhi Xiong, Albert Huang, Eric Xie, Stefan Bekiranov, Aidong Zhang:
IdeaBench: Benchmarking Large Language Models for Research Idea Generation. CoRR abs/2411.02429 (2024) - [i21]Nicholas Wan, Qiao Jin, Joey Chan, Guangzhi Xiong, Serina S. Applebaum, Aidan Gilson, Reid McMurry, R. Andrew Taylor, Aidong Zhang, Qingyu Chen, Zhiyong Lu:
Humans Continue to Outperform Large Language Models in Complex Clinical Decision-Making: A Study with Medical Calculators. CoRR abs/2411.05897 (2024) - [i20]Yifan Yang, Qiao Jin, Robert Leaman, Xiaoyu Liu, Guangzhi Xiong, Maame Sarfo-Gyamfi, Changlin Gong, Santiago Ferrière-Steinert, W. John Wilbur, Xiaojun Li, Jiaxin Yuan, Bang An, Kelvin S. Castro, Francisco Erramuspe Álvarez, Matías Stockle, Aidong Zhang, Furong Huang, Zhiyong Lu:
Ensuring Safety and Trust: Analyzing the Risks of Large Language Models in Medicine. CoRR abs/2411.14487 (2024) - 2023
- [j113]Hyun Jae Cho, Mia Shu, Stefan Bekiranov, Chongzhi Zang, Aidong Zhang:
Interpretable meta-learning of multi-omics data for survival analysis and pathway enrichment. Bioinform. 39(4) (2023) - [j112]Guangzhi Xiong, Stefan Bekiranov, Aidong Zhang:
ProtoCell4P: an explainable prototype-based neural network for patient classification using single-cell RNA-seq. Bioinform. 39(8) (2023) - [j111]Jianhui Sun, Ying Yang, Guangxu Xun, Aidong Zhang:
Scheduling Hyperparameters to Improve Generalization: From Centralized SGD to Asynchronous SGD. ACM Trans. Knowl. Discov. Data 17(2): 29:1-29:37 (2023) - [j110]Liuyi Yao, Yaliang Li, Sheng Li, Jinduo Liu, Mengdi Huai, Aidong Zhang, Jing Gao:
Concept-Level Model Interpretation From the Causal Aspect. IEEE Trans. Knowl. Data Eng. 35(9): 8799-8810 (2023) - [c275]Sanchit Sinha, Mengdi Huai, Jianhui Sun, Aidong Zhang:
Understanding and Enhancing Robustness of Concept-Based Models. AAAI 2023: 15127-15135 - [c274]Jiayi Chen, Hanjun Dai, Bo Dai, Aidong Zhang, Wei Wei:
On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval. EMNLP (Findings) 2023: 9006-9025 - [c273]Jiayi Chen, Aidong Zhang:
On Hierarchical Disentanglement of Interactive Behaviors for Multimodal Spatiotemporal Data with Incompleteness. KDD 2023: 213-225 - [c272]Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li:
Learning for Counterfactual Fairness from Observational Data. KDD 2023: 1620-1630 - [c271]Jianhui Sun, Sanchit Sinha, Aidong Zhang:
Enhance Diffusion to Improve Robust Generalization. KDD 2023: 2083-2095 - [c270]Hongfei Xue, Qiming Cao, Chenglin Miao, Yan Ju, Haochen Hu, Aidong Zhang, Lu Su:
Towards Generalized mmWave-based Human Pose Estimation through Signal Augmentation. MobiCom 2023: 88:1-88:15 - [c269]Xidong Wu, Jianhui Sun, Zhengmian Hu, Junyi Li, Aidong Zhang, Heng Huang:
Federated Conditional Stochastic Optimization. NeurIPS 2023 - [c268]Xidong Wu, Jianhui Sun, Zhengmian Hu, Aidong Zhang, Heng Huang:
Solving a Class of Non-Convex Minimax Optimization in Federated Learning. NeurIPS 2023 - [c267]Caiming Sun, Binghui Li, Ning Ding, Aidong Zhang:
High-resolution Radiation Characterization for an Uniformly Emitted SiNx Nanophotonic Phased Array. OFC 2023: 1-3 - [c266]Guangtao Zheng, Qiuling Suo, Mengdi Huai, Aidong Zhang:
Learning to Learn Task Transformations for Improved Few-Shot Classification. SDM 2023: 784-792 - [i19]Jianhui Sun, Sanchit Sinha, Aidong Zhang:
Enhance Diffusion to Improve Robust Generalization. CoRR abs/2306.02618 (2023) - [i18]Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li:
Learning for Counterfactual Fairness from Observational Data. CoRR abs/2307.08232 (2023) - [i17]Xidong Wu, Jianhui Sun, Zhengmian Hu, Junyi Li, Aidong Zhang, Heng Huang:
Federated Conditional Stochastic Optimization. CoRR abs/2310.02524 (2023) - [i16]Xidong Wu, Jianhui Sun, Zhengmian Hu, Aidong Zhang, Heng Huang:
Solving a Class of Non-Convex Minimax Optimization in Federated Learning. CoRR abs/2310.03613 (2023) - [i15]Jiayi Chen, Hanjun Dai, Bo Dai, Aidong Zhang, Wei Wei:
On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval. CoRR abs/2311.00693 (2023) - [i14]Jianhui Sun, Xidong Wu, Heng Huang, Aidong Zhang:
On the Role of Server Momentum in Federated Learning. CoRR abs/2312.12670 (2023) - [i13]Guangtao Zheng, Mengdi Huai, Aidong Zhang:
AdvST: Revisiting Data Augmentations for Single Domain Generalization. CoRR abs/2312.12720 (2023) - 2022
- [j109]Kishlay Jha, Aidong Zhang:
Continual knowledge infusion into pre-trained biomedical language models. Bioinform. 38(2): 494-502 (2022) - [j108]Qiujun Huang, Yicheng Yu, Kai Zhang, Shengquan Li, Haibo Lu, Jisen Li, Aidong Zhang, Tao Mei:
Optimal synthesis of mechanisms using repellency evolutionary algorithm. Knowl. Based Syst. 239: 107928 (2022) - [j107]Mengdi Huai, Tianhang Zheng, Chenglin Miao, Liuyi Yao, Aidong Zhang:
On the Robustness of Metric Learning: An Adversarial Perspective. ACM Trans. Knowl. Discov. Data 16(5): 95:1-95:25 (2022) - [j106]Jinduo Liu, Junzhong Ji, Guangxu Xun, Aidong Zhang:
Inferring Effective Connectivity Networks From fMRI Time Series With a Temporal Entropy-Score. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5993-6006 (2022) - [c265]Mengdi Huai, Jinduo Liu, Chenglin Miao, Liuyi Yao, Aidong Zhang:
Towards Automating Model Explanations with Certified Robustness Guarantees. AAAI 2022: 6935-6943 - [c264]Guangtao Zheng, Aidong Zhang:
Knowledge-Guided Semantics Adjustment for Improved Few-Shot Classification. ICDM 2022: 1347-1352 - [c263]Jiayi Chen, Aidong Zhang:
FedMSplit: Correlation-Adaptive Federated Multi-Task Learning across Multimodal Split Networks. KDD 2022: 87-96 - [c262]Jianhui Sun, Mengdi Huai, Kishlay Jha, Aidong Zhang:
Demystify Hyperparameters for Stochastic Optimization with Transferable Representations. KDD 2022: 1706-1716 - [c261]Jing Ma, Ruocheng Guo, Saumitra Mishra, Aidong Zhang, Jundong Li:
CLEAR: Generative Counterfactual Explanations on Graphs. NeurIPS 2022 - [c260]Binghui Li, Caiming Sun, Aidong Zhang:
Liquid Waveguide Cladding for 2D Beam Steering of An Optical Phased Array at a Single Wavelength. OFC 2022: 1-3 - [c259]Caiming Sun, Binghui Li, Wu Shi, Jing Lin, Ning Ding, Aidong Zhang:
Theoretical Model and Validation for Broadband Optical Phased Arrays. OECC/PSC 2022: 1-3 - [c258]Hongfei Xue, Qiming Cao, Yan Ju, Haochen Hu, Haoyu Wang, Aidong Zhang, Lu Su:
M4esh: mmWave-Based 3D Human Mesh Construction for Multiple Subjects. SenSys 2022: 391-406 - [c257]Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li:
Learning Fair Node Representations with Graph Counterfactual Fairness. WSDM 2022: 695-703 - [c256]Jiayi Chen, Aidong Zhang:
Topological Transduction for Hybrid Few-shot Learning. WWW 2022: 3134-3142 - [e4]Aidong Zhang, Huzefa Rangwala:
KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022. ACM 2022, ISBN 978-1-4503-9385-0 [contents] - [i12]Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li:
Learning Fair Node Representations with Graph Counterfactual Fairness. CoRR abs/2201.03662 (2022) - [i11]Jing Ma, Ruocheng Guo, Saumitra Mishra, Aidong Zhang, Jundong Li:
CLEAR: Generative Counterfactual Explanations on Graphs. CoRR abs/2210.08443 (2022) - [i10]Sanchit Sinha, Mengdi Huai, Jianhui Sun, Aidong Zhang:
Understanding and Enhancing Robustness of Concept-based Models. CoRR abs/2211.16080 (2022) - 2021
- [j105]Kishlay Jha, Guangxu Xun, Aidong Zhang:
Continual representation learning for evolving biomedical bipartite networks. Bioinform. 37(15): 2190-2197 (2021) - [j104]Erfaneh Gharavi, Aaron Gu, Guangtao Zheng, Jason P. Smith, Hyun Jae Cho, Aidong Zhang, Donald E. Brown, Nathan C. Sheffield:
Embeddings of genomic region sets capture rich biological associations in lower dimensions. Bioinform. 37(23): 4299-4306 (2021) - [j103]Hongwu Zhu, Dong Wang, Nathan Boyd, Ziyi Zhou, Lecheng Ruan, Aidong Zhang, Ning Ding, Ye Zhao, Jianwen Luo:
Terrain-Perception-Free Quadrupedal Spinning Locomotion on Versatile Terrains: Modeling, Analysis, and Experimental Validation. Frontiers Robotics AI 8: 724138 (2021) - [j102]Aidong Zhang:
EIC Farewell and New EIC Introduction. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2057 (2021) - [j101]Guangxu Xun, Kishlay Jha, Aidong Zhang:
MeSHProbeNet-P: Improving Large-scale MeSH Indexing with Personalizable MeSH Probes. ACM Trans. Knowl. Discov. Data 15(1): 11:1-11:14 (2021) - [j100]Liuyi Yao, Zhixuan Chu, Sheng Li, Yaliang Li, Jing Gao, Aidong Zhang:
A Survey on Causal Inference. ACM Trans. Knowl. Discov. Data 15(5): 74:1-74:46 (2021) - [j99]Xiaowei Jia, Xiaoyi Li, Nan Du, Yuan Zhang, Vishrawas Gopalakrishnan, Guangxu Xun, Aidong Zhang:
Tracking Community Consistency in Dynamic Networks: An Influence-Based Approach. IEEE Trans. Knowl. Data Eng. 33(2): 782-795 (2021) - [j98]Yingxin Shou, Bin Xu, Aidong Zhang, Tao Mei:
Virtual Guidance-Based Coordinated Tracking Control of Multi-Autonomous Underwater Vehicles Using Composite Neural Learning. IEEE Trans. Neural Networks Learn. Syst. 32(12): 5565-5574 (2021) - [j97]Xiao Yu, Ji Ma, Ning Ding, Aidong Zhang:
Cooperative Target Enclosing Control of Multiple Mobile Robots Subject to Input Disturbances. IEEE Trans. Syst. Man Cybern. Syst. 51(6): 3440-3449 (2021) - [c255]Jiayi Chen, Aidong Zhang:
HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot Learning Across Modalities. CIKM 2021: 191-200 - [c254]Liuyi Yao, Yaliang Li, Sheng Li, Mengdi Huai, Jing Gao, Aidong Zhang:
SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation. CIKM 2021: 3583-3587 - [c253]Weida Zhong, Qiuling Suo, Xiaowei Jia, Aidong Zhang, Lu Su:
Heterogeneous Spatio-Temporal Graph Convolution Network for Traffic Forecasting with Missing Values. ICDCS 2021: 707-717 - [c252]Jisen Li, Yuliang Yang, Yumei Zhang, Hua Zhu, Yongqi Li, Qiujun Huang, Haibo Lu, Shan He, Shengquan Li, Wei Zhang, Tao Mei, Feng Wu, Aidong Zhang:
Design of a deployable underwater robot for the recovery of autonomous underwater vehicles based on origami technique. ICRA 2021: 7013-7019 - [c251]Juan Chen, Caiming Sun, Aidong Zhang:
Autonomous Navigation for Adaptive Unmanned Underwater Vehicles Using Fiducial Markers. ICRA 2021: 9298-9304 - [c250]Heng Zhang, Qiwen Wang, Chuliang Chi, Yongquan Chen, Zonggao Mu, Zheng Li, Yuanmin Lan, Aidong Zhang:
Design and Implementation of a Novel, Intrinsically Safe Rigid-Flexible Coupling Manipulator for COVID-19 Oropharyngeal Swab Sampling. ICRA 2021: 12282-12288 - [c249]Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li:
Multi-Cause Effect Estimation with Disentangled Confounder Representation. IJCAI 2021: 2790-2796 - [c248]Guangtao Zheng, Aidong Zhang:
Few-Shot Class-Incremental Learning with Meta-Learned Class Structures. ICDM (Workshops) 2021: 421-430 - [c247]Shusheng Ye, Jianwen Luo, Caiming Sun, Bingchen Jin, Juntong Su, Aidong Zhang:
Design of a Large-scale Electrically-actuated Quadruped Robot and Locomotion Control for the Narrow Passage. IROS 2021: 7424-7431 - [c246]Jianhui Sun, Ying Yang, Guangxu Xun, Aidong Zhang:
A Stagewise Hyperparameter Scheduler to Improve Generalization. KDD 2021: 1530-1540 - [c245]Kishlay Jha, Guangxu Xun, Nan Du, Aidong Zhang:
Knowledge-Guided Efficient Representation Learning for Biomedical Domain. KDD 2021: 3077-3085 - [c244]Hongfei Xue, Yan Ju, Chenglin Miao, Yijiang Wang, Shiyang Wang, Aidong Zhang, Lu Su:
mmMesh: towards 3D real-time dynamic human mesh construction using millimeter-wave. MobiSys 2021: 269-282 - [c243]Hongjie Wang, Caiming Sun, Lesi Yang, Xiaomin Nie, Binghui Li, Aidong Zhang:
Uniform emission of large-scale optical phase arrays with wide wavelength tuning. OFC 2021: 1-3 - [c242]Ganyu Deng, Jianwen Luo, Caiming Sun, Dongwei Pan, Longyao Peng, Ning Ding, Aidong Zhang:
Vision-based Navigation for a Small-scale Quadruped Robot Pegasus-Mini. ROBIO 2021: 893-900 - [c241]Bingchen Jin, Caiming Sun, Dingan Cheng, Shusheng Ye, Juntong Su, Aidong Zhang:
Fast and Compliant Whole Body Control for Gear-Driven Torque Sensorless Quadruped Robot Trotting. ROBIO 2021: 919-926 - [c240]Lu Chen, Zhengjia Zhu, Caiming Sun, Aidong Zhang:
An Efficient Lightweight 2D Driven 3D Detector for Underwater Robots Tracking. ROBIO 2021: 1103-1110 - [c239]Jing Ma, Ruocheng Guo, Chen Chen, Aidong Zhang, Jundong Li:
Deconfounding with Networked Observational Data in a Dynamic Environment. WSDM 2021: 166-174 - [i9]Jiayi Chen, Aidong Zhang:
HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot Learning Across Modalities. CoRR abs/2105.07889 (2021) - [i8]Hongwu Zhu, Dong Wang, Ganyu Deng, Nathan Boyd, Ziyi Zhou, Lecheng Ruan, Caiming Sun, Aidong Zhang, Ning Ding, Ye Zhao, Jianwen Luo:
Terrain-perception-free Quadrupedal Spinning Locomotion on Versatile Terrains: Modeling, Analysis, and Experimental Validation. CoRR abs/2107.12479 (2021) - [i7]Bingchen Jin, Shusheng Ye, Juntong Su, Chaoyang Song, Ye Zhao, Aidong Zhang, Ning Ding, Jianwen Luo:
High-Payload Online Identification and Adaptive Control for an Electrically-actuated Quadruped Robot. CoRR abs/2107.12482 (2021) - [i6]Ganyu Deng, Jianwen Luo, Caiming Sun, Dongwei Pan, Longyao Peng, Ning Ding, Aidong Zhang:
Vision-based Navigation for a Small-scale Quadruped Robot Pegasus-Mini. CoRR abs/2110.04426 (2021) - 2020
- [j96]Rui Jiang, Caiming Sun, Long Zhang, Xinke Tang, Hongjie Wang, Aidong Zhang:
Deep Learning Aided Signal Detection for SPAD-Based Underwater Optical Wireless Communications. IEEE Access 8: 20363-20374 (2020) - [j95]Xinke Tang, Long Zhang, Caiming Sun, Zhen Chen, Hongjie Wang, Rui Jiang, Zhongyi Li, Wu Shi, Aidong Zhang:
Underwater Wireless Optical Communication Based on DPSK Modulation and Silicon Photomultiplier. IEEE Access 8: 204676-204683 (2020) - [j94]Hongfei Xue, Wenjun Jiang, Chenglin Miao, Fenglong Ma, Shiyang Wang, Ye Yuan, Shuochao Yao, Aidong Zhang, Lu Su:
DeepMV: Multi-View Deep Learning for Device-Free Human Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(1): 34:1-34:26 (2020) - [j93]Xiao Yu, Ning Ding, Aidong Zhang, Huihuan Qian:
Cooperative Moving-Target Enclosing of Networked Vehicles With Constant Linear Velocities. IEEE Trans. Cybern. 50(2): 798-809 (2020) - [j92]Yuan Zhang, Boyu Zhu, Yixin Fang, Suxin Guo, Aidong Zhang, Sheng Zhong:
Secure Inter-Domain Forwarding Loop Test in Software Defined Networks. IEEE Trans. Dependable Secur. Comput. 17(1): 162-178 (2020) - [j91]Jinduo Liu, Junzhong Ji, Xiuqin Jia, Aidong Zhang:
Learning Brain Effective Connectivity Network Structure Using Ant Colony Optimization Combining With Voxel Activation Information. IEEE J. Biomed. Health Informatics 24(7): 2028-2040 (2020) - [j90]Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang:
Learning Distance Metrics from Probabilistic Information. ACM Trans. Knowl. Discov. Data 14(5): 53:1-53:33 (2020) - [c238]Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang:
Pairwise Learning with Differential Privacy Guarantees. AAAI 2020: 694-701 - [c237]Mengdi Huai, Di Wang, Chenglin Miao, Aidong Zhang:
Towards Interpretation of Pairwise Learning. AAAI 2020: 4166-4173 - [c236]Jinduo Liu, Junzhong Ji, Guangxu Xun, Liuyi Yao, Mengdi Huai, Aidong Zhang:
EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks. AAAI 2020: 4852-4859 - [c235]Jingyuan Chou, Stefan Bekiranov, Chongzhi Zang, Mengdi Huai, Aidong Zhang:
Analysis of Meta-Learning Approaches for TCGA Pan-cancer Datasets. BIBM 2020: 257-262 - [c234]Mengdi Huai, Chenglin Miao, Jinduo Liu, Di Wang, Jingyuan Chou, Aidong Zhang:
Global Interpretation for Patient Similarity Learning. BIBM 2020: 589-594 - [c233]Qiuling Suo, Weida Zhong, Guangxu Xun, Jianhui Sun, Changyou Chen, Aidong Zhang:
GLIMA: Global and Local Time Series Imputation with Multi-directional Attention Learning. IEEE BigData 2020: 798-807 - [c232]Lu Chen, Shusheng Ye, Caiming Sun, Aidong Zhang, Ganyu Deng, Tianjiao Liao:
Optimized Foothold Planning and Posture Searching for Energy-Efficient Quadruped Locomotion over Challenging Terrains. ICRA 2020: 399-405 - [c231]Mengdi Huai, Jianhui Sun, Renqin Cai, Liuyi Yao, Aidong Zhang:
Malicious Attacks against Deep Reinforcement Learning Interpretations. KDD 2020: 472-482 - [c230]Guangxu Xun, Kishlay Jha, Jianhui Sun, Aidong Zhang:
Correlation Networks for Extreme Multi-label Text Classification. KDD 2020: 1074-1082 - [c229]Jiayi Chen, Aidong Zhang:
HGMF: Heterogeneous Graph-based Fusion for Multimodal Data with Incompleteness. KDD 2020: 1295-1305 - [c228]Qiuling Suo, Jingyuan Chou, Weida Zhong, Aidong Zhang:
TAdaNet: Task-Adaptive Network for Graph-Enriched Meta-Learning. KDD 2020: 1789-1799 - [i5]Liuyi Yao, Zhixuan Chu, Sheng Li, Yaliang Li, Jing Gao, Aidong Zhang:
A Survey on Causal Inference. CoRR abs/2002.02770 (2020)
2010 – 2019
- 2019
- [j89]Guangxu Xun, Kishlay Jha, Ye Yuan, Yaqing Wang, Aidong Zhang:
MeSHProbeNet: a self-attentive probe net for MeSH indexing. Bioinform. 35(19): 3794-3802 (2019) - [j88]Ye Yuan, Kebin Jia, Fenglong Ma, Guangxu Xun, Yaqing Wang, Lu Su, Aidong Zhang:
A hybrid self-attention deep learning framework for multivariate sleep stage classification. BMC Bioinform. 20-S(16): 586:1-586:10 (2019) - [j87]Chunyan Fan, Xiujuan Lei, Ling Guo, Aidong Zhang:
Predicting the associations between microbes and diseases by integrating multiple data sources and path-based HeteSim scores. Neurocomputing 323: 76-85 (2019) - [j86]Ye Yuan, Guangxu Xun, Qiuling Suo, Kebin Jia, Aidong Zhang:
Wave2Vec: Deep representation learning for clinical temporal data. Neurocomputing 324: 31-42 (2019) - [j85]Vishrawas Gopalakrishnan, Kishlay Jha, Wei Jin, Aidong Zhang:
A survey on literature based discovery approaches in biomedical domain. J. Biomed. Informatics 93 (2019) - [j84]Xuewu Zhao, Junzhong Ji, Aidong Zhang:
Artificial bee colony clustering with self-adaptive crossover and stepwise search for brain functional parcellation in fMRI data. Soft Comput. 23(18): 8689-8709 (2019) - [j83]Ye Yuan, Guangxu Xun, Kebin Jia, Aidong Zhang:
A Multi-View Deep Learning Framework for EEG Seizure Detection. IEEE J. Biomed. Health Informatics 23(1): 83-94 (2019) - [j82]Kishlay Jha, Guangxu Xun, Vishrawas Gopalakrishnan, Aidong Zhang:
DWE-Med: Dynamic Word Embeddings for Medical Domain. ACM Trans. Knowl. Discov. Data 13(2): 19:1-19:21 (2019) - [j81]Houping Xiao, Jing Gao, Qi Li, Fenglong Ma, Lu Su, Yunlong Feng, Aidong Zhang:
Towards Confidence Interval Estimation in Truth Discovery. IEEE Trans. Knowl. Data Eng. 31(3): 575-588 (2019) - [c227]Tianle Ma, Aidong Zhang:
AffinityNet: Semi-Supervised Few-Shot Learning for Disease Type Prediction. AAAI 2019: 1069-1076 - [c226]Guangxu Xun, Kishlay Jha, Ye Yuan, Aidong Zhang:
Topic Discovery for Biomedical Corpus Using MeSH Embeddings. BHI 2019: 1-4 - [c225]Jinduo Liu, Junzhong Ji, Liuyi Yao, Aidong Zhang:
Estimating Brain Effective Connectivity in fMRI data by Non-stationary Dynamic Bayesian Networks. BIBM 2019: 834-839 - [c224]Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang:
ACE: Adaptively Similarity-Preserved Representation Learning for Individual Treatment Effect Estimation. ICDM 2019: 1432-1437 - [c223]Qiuling Suo, Liuyi Yao, Guangxu Xun, Jianhui Sun, Aidong Zhang:
Recurrent Imputation for Multivariate Time Series with Missing Values. ICHI 2019: 1-3 - [c222]Mengdi Huai, Hongfei Xue, Chenglin Miao, Liuyi Yao, Lu Su, Changyou Chen, Aidong Zhang:
Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm. IJCAI 2019: 2535-2541 - [c221]Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang:
Privacy-aware Synthesizing for Crowdsourced Data. IJCAI 2019: 2542-2548 - [c220]Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Jing Gao, Aidong Zhang:
Metric Learning on Healthcare Data with Incomplete Modalities. IJCAI 2019: 3534-3540 - [c219]Liuyi Yao, Sheng Li, Yaliang Li, Hongfei Xue, Jing Gao, Aidong Zhang:
On the Estimation of Treatment Effect with Text Covariates. IJCAI 2019: 4106-4113 - [c218]Bingchen Jin, Caiming Sun, Aidong Zhang, Ning Ding, Jing Lin, Ganyu Deng, Zuwen Zhu, Zhenglong Sun:
Joint Torque Estimation toward Dynamic and Compliant Control for Gear-Driven Torque Sensorless Quadruped Robot. IROS 2019: 4630-4637 - [c217]Kishlay Jha, Guangxu Xun, Yaqing Wang, Aidong Zhang:
Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts. KDD 2019: 843-851 - [c216]Hongfei Xue, Wenjun Jiang, Chenglin Miao, Ye Yuan, Fenglong Ma, Xin Ma, Yijiang Wang, Shuochao Yao, Wenyao Xu, Aidong Zhang, Lu Su:
DeepFusion: A Deep Learning Framework for the Fusion of Heterogeneous Sensory Data. MobiHoc 2019: 151-160 - [c215]Dingan Cheng, Bingchen Jin, Caiming Sun, Aidong Zhang, Shoubin Liu:
Joint Torque Estimation for Dynamic Jumping Control of Compliant Gear-Driven Legged Robot. ROBIO 2019: 95-101 - [c214]Jing Lin, Ganyu Deng, Lu Chen, Bingchen Jin, Caiming Sun, Aidong Zhang:
Bionic Architecture Design and Robust Rough-Terrain Locomotion for a High-Payload Quadrupedal Robot. ROBIO 2019: 1027-1034 - [c213]Lu Chen, Shusheng Ye, Caiming Sun, Aidong Zhang, Ganyu Deng, Tianjiao Liao, Junwen Sun:
CNNs based Foothold Selection for Energy-Efficient Quadruped Locomotion over Rough Terrains. ROBIO 2019: 1115-1120 - [c212]Tianjiao Liao, Shusheng Ye, Lu Chen, Caiming Sun, Aidong Zhang:
Energy Efficient Swing Leg Trajectory Planning For Quadruped Robots Walking On Rough Terrain. ROBIO 2019: 2128-2133 - [c211]Liuyi Yao, Yaliang Li, Yezheng Li, Hengtong Zhang, Mengdi Huai, Jing Gao, Aidong Zhang:
DTEC: Distance Transformation Based Early Time Series Classification. SDM 2019: 486-494 - [i4]Tianle Ma, Aidong Zhang:
Incorporating Biological Knowledge with Factor Graph Neural Network for Interpretable Deep Learning. CoRR abs/1906.00537 (2019) - 2018
- [j80]Vishrawas Gopalakrishnan, Kishlay Jha, Guangxu Xun, Hung Q. Ngo, Aidong Zhang:
Towards self-learning based hypotheses generation in biomedical text domain. Bioinform. 34(12): 2103-2115 (2018) - [j79]Xiujuan Lei, Jie Zhao, Hamido Fujita, Aidong Zhang:
Predicting essential proteins based on RNA-Seq, subcellular localization and GO annotation datasets. Knowl. Based Syst. 151: 136-148 (2018) - [j78]Cuicui Yang, Junzhong Ji, Aidong Zhang:
BFO-FMD: bacterial foraging optimization for functional module detection in protein-protein interaction networks. Soft Comput. 22(10): 3395-3416 (2018) - [c210]Ye Yuan, Guangxu Xun, Fenglong Ma, Qiuling Suo, Hongfei Xue, Kebin Jia, Aidong Zhang:
A novel channel-aware attention framework for multi-channel EEG seizure detection via multi-view deep learning. BHI 2018: 206-209 - [c209]Tianle Ma, Aidong Zhang:
Multi-view Factorization AutoEncoder with Network Constraints for Multi-omic Integrative Analysis. BIBM 2018: 702-707 - [c208]Ye Yuan, Kebin Jia, Fenglong Ma, Guangxu Xun, Yaqing Wang, Lu Su, Aidong Zhang:
Multivariate Sleep Stage Classification using Hybrid Self-Attentive Deep Learning Networks. BIBM 2018: 963-968 - [c207]Aidong Zhang:
On Metric Learning for Complex Data Analysis. IEEE BigData 2018: 5 - [c206]Aidong Zhang:
Deep Learning and Networks for Integrative Analysis of Multi-Omic Data. ICCABS 2018: 1 - [c205]Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Mengdi Huai, Aidong Zhang:
Multi-task Sparse Metric Learning for Monitoring Patient Similarity Progression. ICDM 2018: 477-486 - [c204]Ye Yuan, Guangxu Xun, Fenglong Ma, Yaqing Wang, Nan Du, Kebin Jia, Lu Su, Aidong Zhang:
MuVAN: A Multi-view Attention Network for Multivariate Temporal Data. ICDM 2018: 717-726 - [c203]Kishlay Jha, Yaqing Wang, Guangxu Xun, Aidong Zhang:
Interpretable Word Embeddings for Medical Domain. ICDM 2018: 1061-1066 - [c202]Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang:
Metric Learning from Probabilistic Labels. KDD 2018: 1541-1550 - [c201]Kishlay Jha, Guangxu Xun, Yaqing Wang, Vishrawas Gopalakrishnan, Aidong Zhang:
Concepts-Bridges: Uncovering Conceptual Bridges Based on Biomedical Concept Evolution. KDD 2018: 1599-1607 - [c200]Fenglong Ma, Jing Gao, Qiuling Suo, Quanzeng You, Jing Zhou, Aidong Zhang:
Risk Prediction on Electronic Health Records with Prior Medical Knowledge. KDD 2018: 1910-1919 - [c199]Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang:
Representation Learning for Treatment Effect Estimation from Observational Data. NeurIPS 2018: 2638-2648 - [c198]Liuyi Yao, Lu Su, Qi Li, Yaliang Li, Fenglong Ma, Jing Gao, Aidong Zhang:
Online Truth Discovery on Time Series Data. SDM 2018: 162-170 - [c197]Mengdi Huai, Chenglin Miao, Qiuling Suo, Yaliang Li, Jing Gao, Aidong Zhang:
Uncorrelated Patient Similarity Learning. SDM 2018: 270-278 - [c196]Qiuling Suo, Fenglong Ma, Giovanni Canino, Jing Gao, Aidong Zhang, Agostino Gnasso, Giuseppe Tradigo, Pierangelo Veltri:
An Attention-based Recurrent Neural Networks Framework for Health Data Analysis. SEBD 2018 - [r2]Aidong Zhang, Bharat K. Bhargava:
Flex Transactions. Encyclopedia of Database Systems (2nd ed.) 2018 - [i3]Tianle Ma, Aidong Zhang:
AffinityNet: semi-supervised few-shot learning for disease type prediction. CoRR abs/1805.08905 (2018) - [i2]Tianle Ma, Aidong Zhang:
Multi-view Factorization AutoEncoder with Network Constraints for Multi-omic Integrative Analysis. CoRR abs/1809.01772 (2018) - 2017
- [j77]Aidong Zhang:
Editorial from the New Editor-in-Chief. IEEE ACM Trans. Comput. Biol. Bioinform. 14(2): 251 (2017) - [j76]Tianle Ma, Aidong Zhang:
Omics Informatics: From Scattered Individual Software Tools to Integrated Workflow Management Systems. IEEE ACM Trans. Comput. Biol. Bioinform. 14(4): 926-946 (2017) - [j75]Giovanni Canino, Pietro Hiram Guzzi, Giuseppe Tradigo, Aidong Zhang, Pierangelo Veltri:
On the Analysis of Diseases and Their Related Geographical Data. IEEE J. Biomed. Health Informatics 21(1): 228-237 (2017) - [j74]Guangxu Xun, Xiaowei Jia, Vishrawas Gopalakrishnan, Aidong Zhang:
A Survey on Context Learning. IEEE Trans. Knowl. Data Eng. 29(1): 38-56 (2017) - [c195]Qiuling Suo, Fenglong Ma, Giovanni Canino, Jing Gao, Aidong Zhang, Pierangelo Veltri, Agostino Gnasso:
A Multi-task Framework for Monitoring Health Conditions via Attention-based Recurrent Neural Networks. AMIA 2017 - [c194]Ye Yuan, Guangxu Xun, Kebin Jia, Aidong Zhang:
A Multi-view Deep Learning Method for Epileptic Seizure Detection using Short-time Fourier Transform. BCB 2017: 213-222 - [c193]Tianle Ma, Aidong Zhang:
Integrate multi-omic data using affinity network fusion (ANF) for cancer patient clustering. BIBM 2017: 398-403 - [c192]Ye Yuan, Guangxu Xun, Kebin Jia, Aidong Zhang:
A novel wavelet-based model for EEG epileptic seizure detection using multi-context learning. BIBM 2017: 694-699 - [c191]Qiuling Suo, Fenglong Ma, Ye Yuan, Mengdi Huai, Weida Zhong, Aidong Zhang, Jing Gao:
Personalized disease prediction using a CNN-based similarity learning method. BIBM 2017: 811-816 - [c190]Kishlay Jha, Guangxu Xun, Vishrawas Gopalakrishnan, Aidong Zhang:
Augmenting word embeddings through external knowledge-base for biomedical application. IEEE BigData 2017: 1965-1974 - [c189]Guangxu Xun, Kishlay Jha, Vishrawas Gopalakrishnan, Yaliang Li, Aidong Zhang:
Generating Medical Hypotheses Based on Evolutionary Medical Concepts. ICDM 2017: 535-544 - [c188]Ye Yuan, Guangxu Xun, Qiuling Suo, Kebin Jia, Aidong Zhang:
Wave2Vec: Learning Deep Representations for Biosignals. ICDM 2017: 1159-1164 - [c187]Guangxu Xun, Yaliang Li, Wayne Xin Zhao, Jing Gao, Aidong Zhang:
A Correlated Topic Model Using Word Embeddings. IJCAI 2017: 4207-4213 - [c186]Guangxu Xun, Yaliang Li, Jing Gao, Aidong Zhang:
Collaboratively Improving Topic Discovery and Word Embeddings by Coordinating Global and Local Contexts. KDD 2017: 535-543 - [c185]Fenglong Ma, Chuishi Meng, Houping Xiao, Qi Li, Jing Gao, Lu Su, Aidong Zhang:
Unsupervised Discovery of Drug Side-Effects from Heterogeneous Data Sources. KDD 2017: 967-976 - 2016
- [j73]Xiujuan Lei, Fei Wang, Fang-Xiang Wu, Aidong Zhang, Witold Pedrycz:
Protein complex identification through Markov clustering with firefly algorithm on dynamic protein-protein interaction networks. Inf. Sci. 329: 303-316 (2016) - [j72]Xiujuan Lei, Yulian Ding, Hamido Fujita, Aidong Zhang:
Identification of dynamic protein complexes based on fruit fly optimization algorithm. Knowl. Based Syst. 105: 270-277 (2016) - [j71]Guangxu Xun, Xiaowei Jia, Aidong Zhang:
Detecting epileptic seizures with electroencephalogram via a context-learning model. BMC Medical Informatics Decis. Mak. 16(S-2): 70 (2016) - [j70]Junzhong Ji, Jia Wei Lv, Cuicui Yang, Aidong Zhang:
Detecting Functional Modules Based on a Multiple-Grain Model in Large-Scale Protein-Protein Interaction Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 13(4): 610-622 (2016) - [c184]Xiaowei Jia, Xiaoyi Li, Nan Du, Yuan Zhang, Vishrawas Gopalakrishnan, Guangxu Xun, Aidong Zhang:
Influence based analysis of community consistency in dynamic networks. ASONAM 2016: 1-8 - [c183]Xiaowei Jia, Xiaoyi Li, Kang Li, Vishrawas Gopalakrishnan, Guangxu Xun, Aidong Zhang:
Collaborative restricted Boltzmann machine for social event recommendation. ASONAM 2016: 402-405 - [c182]Qiuling Suo, Hongfei Xue, Jing Gao, Aidong Zhang:
Risk Factor Analysis Based on Deep Learning Models. BCB 2016: 394-403 - [c181]Giovanni Canino, Qiuling Suo, Pietro Hiram Guzzi, Giuseppe Tradigo, Aidong Zhang, Pierangelo Veltri:
Feature Selection Model for Diagnosis, Electronic Medical Records and Geographical Data Correlation. BCB 2016: 616-621 - [c180]Aidong Zhang:
Trajectory analysis - Linking genomic and proteomic data with disease progression. BIBM 2016: 4 - [c179]Tianle Ma, Aidong Zhang:
A framework for robust differential network modular structure discovery from RNA-seq data. BIBM 2016: 288-293 - [c178]Cuicui Yang, Junzhong Ji, Aidong Zhang:
Bacterial biological mechanisms for functional module detection in PPI networks. BIBM 2016: 318-323 - [c177]Jinduo Liu, Junzhong Ji, Aidong Zhang, Peipeng Liang:
An ant colony optimization algorithm for learning brain effective connectivity network from fMRI data. BIBM 2016: 360-367 - [c176]Xiujuan Lei, Yuchen Zhang, Fang-Xiang Wu, Aidong Zhang:
Mining protein complexes based on topology potential from weighted dynamic PPI network. BIBM 2016: 735-738 - [c175]Guangxu Xun, Vishrawas Gopalakrishnan, Fenglong Ma, Yaliang Li, Jing Gao, Aidong Zhang:
Topic Discovery for Short Texts Using Word Embeddings. ICDM 2016: 1299-1304 - [c174]Houping Xiao, Jing Gao, Qi Li, Fenglong Ma, Lu Su, Yunlong Feng, Aidong Zhang:
Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach. KDD 2016: 1935-1944 - 2015
- [j69]Jie Liu, Linlin Qin, Jing Gao, Aidong Zhang:
A Similarity-Based Concepts Mapping Method between Ontologies. IEICE Trans. Inf. Syst. 98-D(5): 1062-1072 (2015) - [j68]Junzhong Ji, Hongxin Liu, Aidong Zhang, Zhijun Liu, Chunnian Liu:
ACC-FMD: ant colony clustering for functional module detection in protein-protein interaction networks. Int. J. Data Min. Bioinform. 11(3): 331-363 (2015) - [j67]Yuan Zhang, Yue Cheng, Liang Ge, Nan Du, Kebin Jia, Aidong Zhang:
A graph-based integrative method of detecting consistent protein functional modules from multiple data sources. Int. J. Data Min. Bioinform. 13(2): 122-140 (2015) - [j66]Hui Li, Xiaoyi Li, Murali Ramanathan, Aidong Zhang:
Prediction and Informative Risk Factor Selection of Bone Diseases. IEEE ACM Trans. Comput. Biol. Bioinform. 12(1): 79-91 (2015) - [j65]Nan Du, Marc R. Knecht, Mark T. Swihart, Zhenghua Tang, Tiffany R. Walsh, Aidong Zhang:
Identifying Affinity Classes of Inorganic Materials Binding Sequences via a Graph-Based Model. IEEE ACM Trans. Comput. Biol. Bioinform. 12(1): 193-204 (2015) - [j64]Nan Du, Xiaowei Jia, Jing Gao, Vishrawas Gopalakrishnan, Aidong Zhang:
Tracking Temporal Community Strength in Dynamic Networks. IEEE Trans. Knowl. Data Eng. 27(11): 3125-3137 (2015) - [c173]Nan Du, Jing Gao, Liang Ge, Vishrawas Gopalakrishnan, Xiaowei Jia, Kang Li, Aidong Zhang:
Significant Edge Detection in Target Network by Exploring Multiple Auxiliary Networks. ASONAM 2015: 210-217 - [c172]Hui Li, Xiaoyi Li, Xiaowei Jia, Murali Ramanathan, Aidong Zhang:
Bone disease prediction and phenotype discovery using feature representation over electronic health records. BCB 2015: 212-221 - [c171]Guangxu Xun, Xiaowei Jia, Aidong Zhang:
Context-learning based electroencephalogram analysis for epileptic seizure detection. BIBM 2015: 325-330 - [c170]Guangxu Xun, Xiaoyi Li, Marc R. Knecht, Paras N. Prasad, Mark T. Swihart, Tiffany R. Walsh, Aidong Zhang:
Identifying inorganic material affinity classes for peptide sequences based on context learning. BIBM 2015: 549-554 - [c169]Xiaowei Jia, Aosen Wang, Xiaoyi Li, Guangxu Xun, Wenyao Xu, Aidong Zhang:
Multi-modal learning for video recommendation based on mobile application usage. IEEE BigData 2015: 837-842 - [c168]Xiaoyi Li, Xiaowei Jia, Guangxu Xun, Aidong Zhang:
Improving EEG feature learning via synchronized facial video. IEEE BigData 2015: 843-848 - [c167]Nikhil Londhe, Vishrawas Gopalakrishnan, Rohini K. Srihari, Aidong Zhang:
MESS: A Multilingual Error based String Similarity measure for transliterated name variants. FIRE 2015: 47-50 - [c166]Xiaoyi Li, Xiaowei Jia, Hui Li, Houping Xiao, Jing Gao, Aidong Zhang:
DRN: Bringing Greedy Layer-Wise Training into Time Dimension. ICDM 2015: 859-864 - [c165]Kang Li, Jing Gao, Suxin Guo, Nan Du, Aidong Zhang:
Functional Node Detection on Linked Data. SDM 2015: 1-9 - 2014
- [j63]Junzhong Ji, Lang Jiao, Cuicui Yang, Jia Wei Lv, Aidong Zhang:
MAE-FMD: Multi-agent evolutionary method for functional module detection in protein-protein interaction networks. BMC Bioinform. 15: 325 (2014) - [j62]Nikhil Londhe, Vishrawas Gopalakrishnan, Aidong Zhang, Hung Q. Ngo, Rohini K. Srihari:
Matching Titles with Cross Title Web-Search Enrichment and Community Detection. Proc. VLDB Endow. 7(12): 1167-1178 (2014) - [j61]Liang Ge, Jing Gao, Hung Q. Ngo, Kang Li, Aidong Zhang:
On handling negative transfer and imbalanced distributions in multiple source transfer learning. Stat. Anal. Data Min. 7(4): 254-271 (2014) - [j60]Junzhong Ji, Aidong Zhang, Chunnian Liu, Xiaomei Quan, Zhijun Liu:
Survey: Functional Module Detection from Protein-Protein Interaction Networks. IEEE Trans. Knowl. Data Eng. 26(2): 261-277 (2014) - [c164]Xiaowei Jia, Kang Li, Xiaoyi Li, Aidong Zhang:
A Novel Semi-Supervised Deep Learning Framework for Affective State Recognition on EEG Signals. BIBE 2014: 30-37 - [c163]Suxin Guo, Sheng Zhong, Aidong Zhang:
Privacy Preserving Calculation of Fisher Criterion Score for Informative Gene Selection. BIBE 2014: 90-96 - [c162]Xiujuan Lei, Fang-Xiang Wu, Fei Wang, Aidong Zhang:
Detecting functional modules in dynamic protein-protein interaction networks using Markov Clustering and Firefly Algorithm. BIBM 2014: 75-81 - [c161]Xiaowei Jia, Nan Du, Jing Gao, Aidong Zhang:
Analysis on Community Variational Trend in Dynamic Networks. CIKM 2014: 151-160 - [c160]Giovanni Canino, Pietro Hiram Guzzi, Giuseppe Tradigo, Aidong Zhang, Pierangelo Veltri:
A system for geoanalysis of clinical and geographical data. HealthGIS 2014: 57-62 - [c159]Kang Li, Jing Gao, Suxin Guo, Nan Du, Xiaoyi Li, Aidong Zhang:
LRBM: A Restricted Boltzmann Machine Based Approach for Representation Learning on Linked Data. ICDM 2014: 300-309 - [c158]Xiaoyi Li, Nan Du, Hui Li, Kang Li, Jing Gao, Aidong Zhang:
A Deep Learning Approach to Link Prediction in Dynamic Networks. SDM 2014: 289-297 - 2013
- [j59]Suxin Guo, Sheng Zhong, Aidong Zhang:
Privacy-preserving Kruskal-Wallis test. Comput. Methods Programs Biomed. 112(1): 135-145 (2013) - [j58]Taehyong Kim, Lawrence Bone, Murali Ramanathan, Aidong Zhang:
BoneNET: a network model of bone microstructure and dynamics. Int. J. Data Min. Bioinform. 8(2): 123-149 (2013) - [j57]Junzhong Ji, Zhijun Liu, Aidong Zhang, Cuicui Yang, Chunnian Liu:
HAM-FMD: Mining functional modules in protein-protein interaction networks using ant colony optimization and multi-agent evolution. Neurocomputing 121: 453-469 (2013) - [j56]Xiujuan Lei, Jianfang Tian, Liang Ge, Aidong Zhang:
The clustering model and algorithm of PPI network based on propagating mechanism of artificial bee colony. Inf. Sci. 247: 21-39 (2013) - [c157]Hui Li, Xiaoyi Li, Murali Ramanathan, Aidong Zhang:
A Semi-Supervised Learning Approach to Integrated Salient Risk Features for Bone Diseases. BCB 2013: 42 - [c156]Kang Li, Suxin Guo, Jing Gao, Aidong Zhang:
An Ensemble Model for Mobile Device based Arrhythmia Detection. BCB 2013: 266 - [c155]Nan Du, Marc R. Knecht, Paras N. Prasad, Mark T. Swihart, Tiffany R. Walsh, Aidong Zhang:
A Framework for Identifying Affinity Classes of Inorganic Materials Binding Peptide Sequences. BCB 2013: 545 - [c154]Suxin Guo, Sheng Zhong, Aidong Zhang:
A Privacy Preserving Markov Model for Sequence Classification. BCB 2013: 561 - [c153]Yuan Zhang, Nan Du, Kang Li, Jinchao Feng, Kebin Jia, Aidong Zhang:
Critical protein detection in dynamic PPI networks with multi-source integrated deep belief nets. BIBM 2013: 29-36 - [c152]Nan Du, Xiaoyi Li, Yuan Zhang, Aidong Zhang:
Detecting mutual functional gene clusters from multiple related diseases. BIBM 2013: 159-164 - [c151]Kang Li, Xiaoyi Li, Yuan Zhang, Aidong Zhang:
Affective state recognition from EEG with deep belief networks. BIBM 2013: 305-310 - [c150]Hui Li, Xiaoyi Li, Yuan Zhang, Murali Ramanathan, Aidong Zhang:
A generative framework for prediction and informative risk factor selection of bone diseases. BIBM 2013: 554-559 - [c149]Liang Ge, Jing Gao, Aidong Zhang:
OMS-TL: a framework of online multiple source transfer learning. CIKM 2013: 2423-2428 - [c148]Kang Li, Suxin Guo, Nan Du, Jing Gao, Aidong Zhang:
Learning, Analyzing and Predicting Object Roles on Dynamic Networks. ICDM 2013: 428-437 - [c147]Nan Du, Jing Gao, Aidong Zhang:
Progression Analysis of Community Strengths in Dynamic Networks. ICDM 2013: 1031-1036 - [c146]Liang Ge, Jing Gao, Xiaoyi Li, Aidong Zhang:
Multi-source deep learning for information trustworthiness estimation. KDD 2013: 766-774 - [c145]Jing Gao, Liang Ge, Kang Li, Hung Q. Ngo, Aidong Zhang:
On Handling Negative Transfer and Imbalanced Distributions in Multiple Source Transfer Learning. SDM 2013: 261-269 - 2012
- [j55]Xiujuan Lei, Xu Huang, Lei Shi, Aidong Zhang:
Clustering PPI data based on Improved functional-flow model through Quantum-behaved PSO. Int. J. Data Min. Bioinform. 6(1): 42-60 (2012) - [c144]Hui Li, Kang Li, Taehyong Kim, Aidong Zhang, Murali Ramanathan:
Spatial modeling of bone microarchitecture. Three-Dimensional Image Processing (3DIP) and Applications 2012: 82900P - [c143]Kang Li, Nan Du, Aidong Zhang:
Detecting ECG abnormalities via transductive transfer learning. BCB 2012: 210-217 - [c142]Nan Du, Yuan Zhang, Kang Li, Jing Gao, Supriya D. Mahajan, Bindukumar B. Nair, Stanley A. Schwartz, Aidong Zhang:
Evolutionary analysis of functional modules in dynamic PPI networks. BCB 2012: 250-257 - [c141]Liang Ge, Jing Gao, Nan Du, Aidong Zhang:
Finding informative genes for prostate cancer: a general framework of integrating heterogeneous sources. BCB 2012: 274-281 - [c140]Hui Li, Cathy Buyea, Xiaoyi Li, Murali Ramanathan, Lawrence Bone, Aidong Zhang:
3D bone microarchitecture modeling and fracture risk prediction. BCB 2012: 361-368 - [c139]Yuan Zhang, Liang Ge, Nan Du, Guoqiang Fan, Kebin Jia, Aidong Zhang:
A graph-based cluster ensemble method to detect protein functional modules from multiple information sources. BCB 2012: 567-569 - [c138]Yuan Zhang, Nan Du, Liang Ge, Kebin Jia, Aidong Zhang:
A collective NMF method for detecting protein functional module from multiple data sources. BCB 2012: 655-660 - [c137]Nan Du, Jing Gao, Vishrawas Gopalakrishnan, Aidong Zhang:
De-noise biological network from heterogeneous sources via link propagation. BIBM 2012: 1-6 - [c136]Kang Li, Nan Du, Aidong Zhang:
A link prediction based unsupervised rank aggregation algorithm for informative gene selection. BIBM 2012: 1-6 - [c135]Liang Ge, Jing Gao, Xiao Yu, Wei Fan, Aidong Zhang:
Estimating Local Information Trustworthiness via Multi-source Joint Matrix Factorization. ICDM 2012: 876-881 - [c134]Junzhong Ji, Zhijun Liu, Aidong Zhang, Lang Jiao, Chunnian Liu:
Improved Ant Colony Optimization for Detecting Functional Modules in Protein-Protein Interaction Networks. ICICA (2) 2012: 404-413 - [c133]Junzhong Ji, Zhijun Liu, Aidong Zhang, Lang Jiao, Chunnian Liu:
Ant Colony Optimization with Multi-Agent Evolution for Detecting Functional Modules in Protein-Protein Interaction Networks. ICICA (LNCS) 2012: 445-453 - [c132]Liang Ge, Aidong Zhang:
Pseudo Cold Start Link Prediction with Multiple Sources in Social Networks. SDM 2012: 768-779 - [i1]Pritam Chanda, Aidong Zhang, Murali Ramanathan:
Algorithms for Efficient Mining of Statistically Significant Attribute Association Information. CoRR abs/1208.3812 (2012) - 2011
- [j54]Taehyong Kim, Kang Li, Aidong Zhang, Surajit Sen, Murali Ramanathan:
A Computational Model of Mitigating Disease Spread in Spatial Networks. Int. J. Artif. Life Res. 2(2): 77-94 (2011) - [c131]Taehyong Kim, Murali Ramanathan, Lawrence Bone, Aidong Zhang:
Mathematical network model for bone mineral density (BMD) and bone quality assessment. BCB 2011: 69-75 - [c130]Lei Shi, Aidong Zhang:
An ACO based functional module detection algorithm for protein interaction networks. BCB 2011: 360-365 - [c129]Nan Du, Kang Li, Supriya D. Mahajan, Stanley A. Schwartz, Bindukumar B. Nair, Chiu Bin Hsiao, Aidong Zhang:
Gene Co-Adaboost: a semi-supervised approach for classifying gene expression data. BCB 2011: 531-535 - [c128]Xiujuan Lei, Shuang Wu, Liang Ge, Aidong Zhang:
Clustering PPI Data Based on Bacteria Foraging Optimization Algorithm. BIBM 2011: 96-99 - [c127]Liang Ge, Nan Du, Aidong Zhang:
Finding Informative Genes from Multiple Microarray Experiments: A Graph-based Consensus Maximization Model. BIBM 2011: 506-511 - 2010
- [j53]Young-Rae Cho, Aidong Zhang:
Identification of functional hubs and modules by converting interactome networks into hierarchical ordering of proteins. BMC Bioinform. 11(S-3): 3 (2010) - [j52]Young-Rae Cho, Aidong Zhang:
Mining Protein Interactome Networks to Measure Interaction Reliability and Select Hub Proteins. Int. J. Knowl. Discov. Bioinform. 1(3): 20-35 (2010) - [j51]Young-Rae Cho, Aidong Zhang:
Predicting protein function by frequent functional association pattern mining in protein interaction networks. IEEE Trans. Inf. Technol. Biomed. 14(1): 30-36 (2010) - [c126]Taehyong Kim, Murali Ramanathan, Aidong Zhang:
A graph-based approach for computational model of bone microstructure. BCB 2010: 563-568 - [c125]Taehyong Kim, Woochang Hwang, Aidong Zhang, Murali Ramanathan:
Computational Framework for Microstructural Bone Dynamics Model and Its Evaluation. BIBE 2010: 92-98 - [c124]Lei Shi, Young-Rae Cho, Aidong Zhang:
Functional Flow Simulation Based Analysis of Protein Interaction Network. BIBE 2010: 144-149 - [c123]Lei Shi, Aidong Zhang:
Semi-supervised learning protein complexes from protein interaction networks. BIBM 2010: 247-252 - [c122]Taehyong Kim, Jaehan Koh, Kang Li, Murali Ramanathan, Aidong Zhang:
Identification of critical location on a microstructural bone network. BIBM 2010: 557-562 - [c121]Xiujuan Lei, Xu Huang, Aidong Zhang:
Improved artificial bee colony algorithm and its application in data clustering. BIC-TA 2010: 514-521 - [c120]Qun Zhang, Xiujuan Lei, Xu Huang, Aidong Zhang:
An improved projection pursuit clustering model and its application based on Quantum-behaved PSO. ICNC 2010: 2581-2585 - [c119]Pritam Chanda, Jianmei Yang, Aidong Zhang, Murali Ramanathan:
On Mining Statistically Significant Attribute Association Information. SDM 2010: 141-152 - [p3]Young-Rae Cho, Aidong Zhang:
Functional Influence-Based Approach to Identify Overlapping Modules in Biological Networks. Link Mining 2010: 535-556 - [e3]Aidong Zhang, Mark Borodovsky, Gultekin Özsoyoglu, Armin R. Mikler:
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, BCB 2010, Niagara Falls, NY, USA, August 2-4, 2010. ACM 2010, ISBN 978-1-4503-0438-2 [contents]
2000 – 2009
- 2009
- [j50]Young-Rae Cho, Aidong Zhang, Xian Xu:
Semantic similarity based feature extraction from microarray expression data. Int. J. Data Min. Bioinform. 3(3): 333-345 (2009) - [c118]Young-Rae Cho, Aidong Zhang:
Restructuring Protein Interaction Networks to Reveal Structural Hubs and Functional Organizations. BIBM 2009: 105-110 - [c117]Young-Rae Cho, Lei Shi, Aidong Zhang:
flowNet: Flow-Based Approach for Efficient Analysis of Complex Biological Networks. ICDM 2009: 91-100 - [c116]Pritam Chanda, Young-Rae Cho, Aidong Zhang, Murali Ramanathan:
Mining of Attribute Interactions Using Information Theoretic Metrics. ICDM Workshops 2009: 350-355 - [c115]Lei Shi, Young-Rae Cho, Aidong Zhang:
ANN Based Protein Function Prediction Using Integrated Protein-Protein Interaction Data. IJCBS 2009: 271-277 - [r1]Aidong Zhang, Bharat K. Bhargava:
Flex Transactions. Encyclopedia of Database Systems 2009: 1142 - 2008
- [j49]Young-Rae Cho, Lei Shi, Murali Ramanathan, Aidong Zhang:
A probabilistic framework to predict protein function from interaction data integrated with semantic knowledge. BMC Bioinform. 9 (2008) - [j48]Young-Rae Cho, Lei Shi, Aidong Zhang:
Functional module detection by functional flow pattern mining in protein interaction networks. BMC Bioinform. 9(S-10) (2008) - [j47]Woochang Hwang, Young-Rae Cho, Aidong Zhang, Murali Ramanathan:
CASCADE: a novel quasi all paths-based network analysis algorithm for clustering biological interactions. BMC Bioinform. 9 (2008) - [c114]Pritam Chanda, Aidong Zhang, M. Ramanthan:
A novel information theoretic method for detecting gene-gene and gene-environment interactions in complex diseases. BIBE 2008: 1-6 - [c113]Young-Rae Cho, Aidong Zhang:
Discovering Frequent Patterns of Functional Associations in Protein Interaction Networks for Function Prediction. BIBM 2008: 59-65 - [c112]Taehyong Kim, Woochang Hwang, Aidong Zhang, Surajit Sen, Murali Ramanathan:
Multi-agent Model Analysis of the Containment Strategy for Avian Influenza (AI) in South Korea. BIBM 2008: 335-338 - [c111]Hongli Xu, Dantong Yu, De Xu, Aidong Zhang:
SS-ClusterTree: a subspace clustering based indexing algorithm over high-dimensional image features. CIVR 2008: 95-104 - [c110]Aidong Zhang, Shih-Fu Chang, Arif Ghafoor, Thomas S. Huang, Ramesh C. Jain, Rainer Lienhart:
Future directions in multimedia retrieval: : impact of new technology. CIVR 2008: 663-664 - [c109]Woochang Hwang, Taehyong Kim, Murali Ramanathan, Aidong Zhang:
Bridging centrality: graph mining from element level to group level. KDD 2008: 336-344 - 2007
- [j46]Young-Rae Cho, Woochang Hwang, Murali Ramanathan, Aidong Zhang:
Semantic integration to identify overlapping functional modules in protein interaction networks. BMC Bioinform. 8 (2007) - [j45]Daxin Jiang, Jian Pei, Murali Ramanathan, Chuan Lin, Chun Tang, Aidong Zhang:
Mining gene-sample-time microarray data: a coherent gene cluster discovery approach. Knowl. Inf. Syst. 13(3): 305-335 (2007) - [c108]Young-Rae Cho, Woochang Hwang, Aidong Zhang:
Optimizing Flow-based Modularization by Iterative Centroid Search in Protein Interaction Networks. BIBE 2007: 342-349 - [c107]Woochang Hwang, Taehyong Kim, Young-Rae Cho, Aidong Zhang, Murali Ramanathan:
SIGN: reliable protein interaction identification by integrating the Similarity In GO and the similarity in protein interaction Networks. BIBE 2007: 1384-1388 - [c106]Young-Rae Cho, Woochang Hwang, Aidong Zhang:
Modularization of Protein Interaction Networks by Incorporating Gene Ontology Annotations. CIBCB 2007: 233-238 - [c105]Young-Rae Cho, Woochang Hwang, Aidong Zhang:
Assessing Reliability of Protein-Protein Interactions by Semantic Data Integration. ICDM Workshops 2007: 83-88 - [c104]Young-Rae Cho, Xian Xu, Woochang Hwang, Aidong Zhang:
Feature Extraction from Microarray Expression Data by Integration of Semantic Knowledge. ICMLA 2007: 606-611 - 2006
- [b2]Aidong Zhang:
Advanced Analysis of Gene Expression Microarray Data. Science, Engineering, and Biology Informatics 1, World Scientific 2006, ISBN 978-981-256-645-4, pp. 1-356 - [j44]Woochang Hwang, Young-Rae Cho, Aidong Zhang, Murali Ramanathan:
A novel functional module detection algorithm for protein-protein interaction networks. Algorithms Mol. Biol. 1 (2006) - [j43]Kavitha Bhasi, Li Zhang, Daniel Brazeau, Aidong Zhang, Murali Ramanathan:
VizStruct for visualization of genome-wide SNP analyses. Bioinform. 22(13): 1569-1576 (2006) - [j42]Wei Wang, Aidong Zhang:
Extracting semantic concepts from images: a decisive feature pattern mining approach. Multim. Syst. 11(4): 352-366 (2006) - [c103]Chuan Lin, Daxin Jiang, Aidong Zhang:
Prediction of Protein Function Using Common-Neighbors in Protein-Protein Interaction Networks. BIBE 2006: 251-260 - [c102]Young-Rae Cho, Woochang Hwang, Aidong Zhang:
Efficient Modularization of Weighted Protein Interaction Networks using k-Hop Graph Reduction. BIBE 2006: 289-298 - [c101]Ron Li, Keith W. Bedford, C. K. Shum, Xutong Niu, Feng Zhou, Vasilia Velissariou, J. Raul Ramirez, Aidong Zhang:
Digitalization of coastal management and decision making supported by multi-dimensional geospatial information and analysis. DG.O 2006: 429-430 - [c100]Xian Xu, Aidong Zhang:
Boost Feature Subset Selection: A New Gene Selection Algorithm for Microarray Dataset. International Conference on Computational Science (2) 2006: 670-677 - [c99]Pengjun Pei, Aidong Zhang:
Towards Detecting Protein Complexes from Protein Interaction Data. International Conference on Computational Science (2) 2006: 734-741 - [c98]Young-Rae Cho, Woochang Hwang, Aidong Zhang:
Identification of Overlapping Functional Modules in Protein Interaction Networks: Information Flow-based Approach. ICDM Workshops 2006: 147-152 - 2005
- [j41]Chun Tang, Aidong Zhang:
Interrelated Two-Way Clustering and its Application on Gene Expression Data. Int. J. Artif. Intell. Tools 14(4): 577-598 (2005) - [j40]Liangjiang Wang, Aidong Zhang, Murali Ramanathan:
BioStar models of clinical and genomic data for biomedical data warehouse design. Int. J. Bioinform. Res. Appl. 1(1): 63-80 (2005) - [j39]Xian Xu, Aidong Zhang:
Virtual Gene: Using Correlations Between Genes to Select Informative Genes on Microarray Datasets. Trans. Comp. Sys. Biology 2: 138-152 (2005) - [j38]Daxin Jiang, Jian Pei, Aidong Zhang:
An Interactive Approach to Mining Gene Expression Data. IEEE Trans. Knowl. Data Eng. 17(10): 1363-1378 (2005) - [j37]Yong Shi, Yuqing Song, Aidong Zhang:
A Shrinking-Based Clustering Approach for Multidimensional Data. IEEE Trans. Knowl. Data Eng. 17(10): 1389-1403 (2005) - [j36]Ramazan Savas Aygün, Aidong Zhang:
SynchRuler: A Rule-Based Flexible Synchronization Model with Model Checking. IEEE Trans. Knowl. Data Eng. 17(12): 1706-1720 (2005) - [c97]Pengjun Pei, Aidong Zhang:
A Two-Step Approach for Clustering Proteins Based on Protein Interaction Profile. BIBE 2005: 201-209 - [c96]Xian Xu, Aidong Zhang:
Selecting Informative Genes from Microarray Dataset by Incorporating Gene Ontology. BIBE 2005: 241-245 - [c95]Pengjun Pei, Aidong Zhang:
A Topological Measurement for Weighted Protein Interaction Network. CSB 2005: 268-278 - [c94]Daxin Jiang, Jian Pei, Aidong Zhang:
A General Approach to Mining Quality Pattern-Based Clusters from Microarray Data. DASFAA 2005: 188-200 - [c93]Ron Li, Keith W. Bedford, C. K. Shum, Xutong Niu, Feng Zhou, Vasilia Velissariou, J. Raul Ramirez, Aidong Zhang:
Digitalization of coastal management and decision making supported by multi-dimensional geospatial information and analysis. DG.O 2005: 219-220 - [c92]Ron Li, Keith W. Bedford, C. K. Shum, Xutong Niu, Feng Zhou, Vasilia Velissariou, J. Raul Ramirez, Aidong Zhang:
Integration of multidimensional geospatial information for coastal management and decision-making. DG.O 2005: 231 - [c91]Xian Xu, Aidong Zhang:
Virtual Gene: A Gene Selection Algorithm for Sample Classification on Microarray Datasets. International Conference on Computational Science (2) 2005: 1038-1045 - [c90]Jian Pei, Daxin Jiang, Aidong Zhang:
Mining Cross-Graph Quasi-Cliques in Gene Expression and Protein Interaction Data. ICDE 2005: 353-354 - [c89]Yong Shi, Aidong Zhang:
Towards Exploring Interactive Relationship between Clusters and Outliers in Multi-Dimensional Data Analysis. ICDE 2005: 518-519 - [c88]Sreenivas Gollapudi, D. Sivakumar, Aidong Zhang:
Exploiting anarchy in networks: a game-theoretic approach to combining fairness and throughput. INFOCOM 2005: 2147-2158 - [c87]Jian Pei, Daxin Jiang, Aidong Zhang:
On mining cross-graph quasi-cliques. KDD 2005: 228-238 - 2004
- [j35]Li Zhang, Aidong Zhang, Murali Ramanathan:
VizStruct: exploratory visualization for gene expression profiling. Bioinform. 20(1): 85-92 (2004) - [j34]Chun Tang, Aidong Zhang, Murali Ramanathan:
ESPD: a pattern detection model underlying gene expression profiles. Bioinform. 20(6): 829-838 (2004) - [j33]Yimin Wu, Aidong Zhang:
Interactive pattern analysis for relevance feedback in multimedia information retrieval. Multim. Syst. 10(1): 41-55 (2004) - [j32]Daxin Jiang, Chun Tang, Aidong Zhang:
Cluster Analysis for Gene Expression Data: A Survey. IEEE Trans. Knowl. Data Eng. 16(11): 1370-1386 (2004) - [c86]Yimin Wu, Aidong Zhang:
Feature Selection for Classifying High-Dimensional Numerical Data. CVPR (2) 2004: 251-258 - [c85]Rongxing (Ron) Li, Keith W. Bedford, C. K. Shum, J. Raul Ramirez, Aidong Zhang:
Digitalization of Coastal Management and Decision Making Supported by Multi-Dimensional Geospatial Information and Analysis. DG.O 2004 - [c84]Xutong Niu, Xian Xu, Alok Srivastava, Chung-yen Kuo, Vasilia Velissariou, Ron Li, Keith W. Bedford, C. K. Shum, J. Raul Ramirez, Aidong Zhang:
Spatial Technologies for Coastal Management. DG.O 2004 - [c83]Aidong Zhang, Wei Wang, David M. Mark:
Very Large Scale Multidimensional Data Management and Retrieval for USGS and NIMA Imagery. DG.O 2004 - [c82]Daoying Ma, Aidong Zhang:
An Adaptive Density-Based Clustering Algorithm for Spatial Database with Noise. ICDM 2004: 467-470 - [c81]Yimin Wu, Aidong Zhang:
PatternQuest: learning patterns of interest using relevance feedback in multimedia information retrieval. ICME 2004: 261-264 - [c80]Ramazan Savas Aygün, Aidong Zhang:
Sprite pyramid for videos and images having finite-depth scenes. ICME 2004: 795-798 - [c79]Ramazan Savas Aygün, Aidong Zhang:
Integrating virtual camera controls into digital video. ICME 2004: 1503-1506 - [c78]Daxin Jiang, Jian Pei, Murali Ramanathan, Chun Tang, Aidong Zhang:
Mining coherent gene clusters from gene-sample-time microarray data. KDD 2004: 430-439 - [c77]Yong Shi, Aidong Zhang:
A Shrinking-Based Dimension Reduction Approach for Multi-Dimensional Data Analysis. SSDBM 2004: 427-428 - [c76]Daxin Jiang, Jian Pei, Aidong Zhang:
GPX: Interactive Mining of Gene Expression Data. VLDB 2004: 1249-1252 - 2003
- [j31]Aidong Zhang:
Introduction to the Special Issue on Bioinformatics. Distributed Parallel Databases 13(1): 5-6 (2003) - [j30]Li Zhang, Chun Tang, Yuqing Song, Aidong Zhang, Murali Ramanathan:
VizCluster and its Application on Classifying Gene Expression Data. Distributed Parallel Databases 13(1): 73-97 (2003) - [j29]Aidong Zhang, HongJiang Zhang:
Introduction to the Special Issue on Content-Based Image Retrieval (CBIR) Guest Editors. Multim. Syst. 8(6): 493-494 (2003) - [j28]Yuqing Song, Aidong Zhang:
Analyzing scenery images by monotonic tree. Multim. Syst. 8(6): 495-511 (2003) - [j27]Daxin Jiang, Jian Pei, Aidong Zhang:
Towards interactive exploration of gene expression patterns. SIGKDD Explor. 5(2): 79-90 (2003) - [j26]Dantong Yu, Aidong Zhang:
ClusterTree: Integration of Cluster Representation and Nearest-Neighbor Search for Large Data Sets with High Dimensions. IEEE Trans. Knowl. Data Eng. 15(5): 1316-1337 (2003) - [j25]Yuqing Song, Wei Wang, Aidong Zhang:
Automatic Annotation and Retrieval of Images. World Wide Web 6(2): 209-231 (2003) - [c75]Daxin Jiang, Jian Pei, Aidong Zhang:
DHC: A Density-Based Hierarchical Clustering Method for Time Series Gene Expression Dat. BIBE 2003: 393-400 - [c74]Chun Tang, Aidong Zhang:
Mining multiple phenotype structures underlying gene expression profiles. CIKM 2003: 418-425 - [c73]Li Zhang, Aidong Zhang, Murali Ramanathan:
Fourier Harmonic Approach for Visualizing Temporal Patterns of Gene Expression Data. CSB 2003: 137-147 - [c72]Yimin Wu, Aidong Zhang:
Adaptive Pattern Discovery for Interactive Multimedia Retrieval. CVPR (2) 2003: 649-655 - [c71]Ron Li, Keith W. Bedford, C. K. Shum, J. Raul Ramirez, Aidong Zhang:
Integration of Multi-Source Spatial Information for Coastal Management and Decision Making. DG.O 2003 - [c70]Ruijin Ma, Tarig Ali, Xutong Niu, Vasilia Velissariou, Kai-chien (Kevin) Cheng, Chung-yen Kuo, Xian Xu, Ahmed Elaksher, Ron Li, Keith W. Bedford, C. K. Shum, J. Raul Ramirez, Aidong Zhang:
A Spatio-Temporal Decision Making System for Coastal Change Monitoring and Coastal Management. DG.O 2003 - [c69]Wei Wang, Yimin Wu, Aidong Zhang:
SemView: A Semantic-sensitive Distributed Image Retrieval System. DG.O 2003 - [c68]Wei Wang, Aidong Zhang, Yuqing Song:
Identification of objects from image regions. ICME 2003: 253-256 - [c67]Yimin Wu, Aidong Zhang:
An adaptive classification method for multimedia retrieval. ICME 2003: 757-760 - [c66]Li Zhang, Aidong Zhang, Murali Ramanathan:
Enhanced visualization of time series through higher fourier harmonics. BIOKDD 2003: 49-56 - [c65]Daxin Jiang, Jian Pei, Aidong Zhang:
Interactive exploration of coherent patterns in time-series gene expression data. KDD 2003: 565-570 - [c64]Chun Tang, Aidong Zhang, Jian Pei:
Mining phenotypes and informative genes from gene expression data. KDD 2003: 655-660 - [c63]Yong Shi, Yuqing Song, Aidong Zhang:
A Shrinking-Based Approach for Multi-Dimensional Data Analysis. VLDB 2003: 440-451 - [p2]Chun Tang, Li Zhang, Aidong Zhang, Murali Ramanathan:
Interrelated Clustering: An Approach for Gene Expression Data Analysis. Computational Biology and Genome Informatics 2003: 183-206 - 2002
- [j24]Aidong Zhang, Yuqing Song, Markus Mielke:
NetMedia: Streaming Multimedia Presentations in Distributed Environments. IEEE Multim. 9(1): 56-73 (2002) - [j23]Lei Zhu, Aibing Rao, Aidong Zhang:
Advanced feature extraction for keyblock-based image retrieval. Inf. Syst. 27(8): 537-557 (2002) - [j22]Dantong Yu, Gholamhosein Sheikholeslami, Aidong Zhang:
FindOut: Finding Outliers in Very Large Datasets. Knowl. Inf. Syst. 4(4): 387-412 (2002) - [j21]Gholamhosein Sheikholeslami, Wendy Chang, Aidong Zhang:
SemQuery: Semantic Clustering and Querying on Heterogeneous Features for Visual Data. IEEE Trans. Knowl. Data Eng. 14(5): 988-1002 (2002) - [j20]Aibing Rao, Rohini K. Srihari, Lei Zhu, Aidong Zhang:
A method for measuring the complexity of image databases. IEEE Trans. Multim. 4(2): 160-173 (2002) - [j19]Markus Mielke, Ramazan Savas Aygün, Yuqing Song, Aidong Zhang:
PLUS: a probe-loss utilization streaming mechanism for distributed multimedia presentation systems. IEEE Trans. Multim. 4(4): 561-577 (2002) - [j18]Lei Zhu, Aibing Rao, Aidong Zhang:
Theory of keyblock-based image retrieval. ACM Trans. Inf. Syst. 20(2): 224-257 (2002) - [c62]Chun Tang, Aidong Zhang:
An iterative strategy for pattern discovery in high-dimensional data sets. CIKM 2002: 10-17 - [c61]Wei Wang, Yuqing Song, Aidong Zhang:
Semantics-Based Image Retrieval by Region Saliency. CIVR 2002: 29-37 - [c60]Yuqing Song, Aidong Zhang:
Monotonic Tree. DGCI 2002: 114-123 - [c59]Wei Wang, Daoying Ma, Yimin Wu, Aidong Zhang, David M. Mark:
Webview: A Distributed Geographical Image Retrieval System. DG.O 2002 - [c58]Chun Tang, Li Zhang, Aidong Zhang:
Interactive Visualization and Analysis for Gene Expression Data. HICSS 2002: 143 - [c57]Bin Zhang, Catalin I. Tomai, Aidong Zhang:
An adaptive texture image retrieval system using wavelets. ICARCV 2002: 1210-1215 - [c56]Ramazan Savas Aygün, Aidong Zhang:
Global motion estimation from semi-dynamic video using motion sensors. ICIP (2) 2002: 273-276 - [c55]Yimin Wu, Aidong Zhang:
A feature re-weighting approach for relevance feedback in image retrieval. ICIP (2) 2002: 581-584 - [c54]Ramazan Savas Aygün, Aidong Zhang:
Extracting coarse boundary features for video processing. ICME (2) 2002: 65-68 - [c53]Yimin Wu, Aidong Zhang:
Category-based search using metadatabase in image retrieval. ICME (1) 2002: 197-200 - [c52]Bin Zhang, Catalin I. Tomai, Aidong Zhang:
Adaptive texture image retrieval in transform domain. ICME (2) 2002: 401-404 - [c51]Ramazan Savas Aygün, Aidong Zhang:
Reducing blurring-effect in high resolution mosaic generation. ICME (2) 2002: 537-540 - [c50]Yuqing Song, Aidong Zhang:
Locating Image Background By Monotonic Tree. JCIS 2002: 879-884 - [c49]Li Zhang, Aidong Zhang, Murali Ramanathan:
Visualized Classification of Multiple Sample Types. BIOKDD 2002: 55-62 - [c48]Yimin Wu, Aidong Zhang:
Interactive Patterns Analysis for Searching Multimedia Databases. Multimedia Information Systems 2002: 124-133 - [c47]Li Zhang, Chun Tang, Yong Shi, Yuqing Song, Aidong Zhang, Murali Ramanathan:
VizCluster: An Interactive Visualization Approach to Cluster Analysis and Its Application on Microarray Data. SDM 2002: 19-40 - [c46]Ramazan Savas Aygün, Aidong Zhang:
Modeling and Verification of Interactive Flexible Multimedia Presentations Using PROMELA/SPIN. SPIN 2002: 205-212 - [c45]Yuqing Song, Wei Wang, Aidong Zhang:
Automatic Annotation and Retrieval of Images. VDB 2002: 267-280 - [p1]Aidong Zhang, Lei Zhu, David M. Mark:
Web View - A Globally Accessible Geographic Image Database Environment. Advances in Digital Government 2002: 197-213 - 2001
- [j17]Aidong Zhang, Marian H. Nodine, Bharat K. Bhargava:
Global Scheduling for Flexible Transactions in Heterogeneous Distributed Database Systems. IEEE Trans. Knowl. Data Eng. 13(3): 439-450 (2001) - [c44]Chun Tang, Li Zhang, Aidong Zhang, Murali Ramanathan:
Interrelated Two-way Clustering: An Unsupervised Approach for Gene Expression Data Analysis. BIBE 2001: 41-48 - [c43]Ramazan Savas Aygün, Aidong Zhang:
Stationary Background Generation In Mpeg Compressed Video Sequences. ICME 2001 - [c42]Lei Zhu, Chun Tang, Aibing Rao, Aidong Zhang:
Using Thesaurus To Model Keyblock-Based Image Retrieva. ICME 2001 - [c41]Ramazan Savas Aygün, Aidong Zhang:
Interactive Multimedia Presentation Management in Distributed Multimedia Systems. ITCC 2001: 275-279 - [c40]Ramazan Savas Aygün, Aidong Zhang:
Middle-tier for multimedia synchronization. ACM Multimedia 2001: 471-474 - [c39]Lei Zhu, Chun Tang, Aidong Zhang:
Using Keyblock Statistics to Model Image Retrieval. IEEE Pacific Rim Conference on Multimedia 2001: 522-529 - [e2]Nicolas D. Georganas, Radu Popescu-Zeletin, Tzi-cker Chiueh, Wolfgang Klas, Aidong Zhang, Vincent Oria:
Proceedings of the 2001 International Workshop on Multimedia Middleware, M3W, Ottawa, Ontario, Canada. ACM 2001 [contents] - [e1]Nicolas D. Georganas, Radu Popescu-Zeletin, Tzi-cker Chiueh, Wolfgang Klas, Aidong Zhang:
Proceedings of the 2001 ACM workshops on Multimedia: multimedia information retrieval, Ottawa, ON, Canada, September 30 - October 5, 2001. ACM 2001, ISBN 1-58113-395-2 [contents] - 2000
- [j16]Aidong Zhang, Sreenivas Gollapudi:
QoS Management in Educational Digital Library Environments. Multim. Tools Appl. 10(2/3): 133-156 (2000) - [j15]Aidong Zhang, Abraham Silberschatz, Sharad Mehrotra:
Guest Editorial: Continuous Media Databases. Multim. Tools Appl. 11(1): 5-7 (2000) - [j14]Gholamhosein Sheikholeslami, Surojit Chatterjee, Aidong Zhang:
WaveCluster: A Wavelet Based Clustering Approach for Spatial Data in Very Large Databases. VLDB J. 8(3-4): 289-304 (2000) - [c38]Dantong Yu, Aidong Zhang:
ACQ: An Automatic Clustering and Querying Approach for Large Image Databases. ICDE 2000: 191 - [c37]Lei Zhu, Aidong Zhang:
Supporting Multi-Example Image Queries in Image Databases. IEEE International Conference on Multimedia and Expo (II) 2000: 697-700 - [c36]Dantong Yu, Aidong Zhang:
ClusterTree: Integration of Cluster Representation and Nearest Neighbor Search for Image Databases. IEEE International Conference on Multimedia and Expo (III) 2000: 1713-1716 - [c35]Frédéric Andrès, Noureddine Mouaddib, Kinji Ono, Aidong Zhang:
Metadata Model, Resource Discovery, and Querying on Large Scale Multidimensional Datasets: The GEREQ Project. Kyoto International Conference on Digital Libraries 2000: 83-90 - [c34]Lei Zhu, Aidong Zhang, Aibing Rao, Rohini K. Srihari:
Keyblock: an approach for content-based image retrieval. ACM Multimedia 2000: 157-166 - [c33]Lei Zhu, Aibing Rao, Aidong Zhang:
Advanced feature extraction for Keyblock-based image retrieval. ACM Multimedia Workshops 2000: 179-183
1990 – 1999
- 1999
- [j13]Gholamhosein Sheikholeslami, Aidong Zhang, Ling Bian:
A Multi-Resolution Content-Based Retrieval Approach for Geographic Images. GeoInformatica 3(2): 109-139 (1999) - [j12]Thomas V. Johnson, Aidong Zhang:
Dynamic Playout Scheduling Algorithms for Continuous Multimedia Streams. Multim. Syst. 7(4): 312-325 (1999) - [c32]Yuqing Song, Markus Mielke, Aidong Zhang:
NetMedia: Synchronized Streaming of Multimedia Presentations in Distributed Environments. ICMCS, Vol. 2 1999: 585-590 - [c31]Markus Mielke, Aidong Zhang:
Optimally Ensured Interactive Service in Distributed Multimedia Presentation Systems. ICMCS, Vol. 1 1999: 661-666 - [c30]Dantong Yu, Surojit Chatterjee, Aidong Zhang:
Efficiently Detecting Arbitrary Shaped Clusters in Image Databases. ICTAI 1999: 187- - [c29]Dantong Yu, Aidong Zhang:
ACQ: an automatic clustering and querying approach for large image databases. ACM Multimedia (2) 1999: 95-98 - [c28]Markus Mielke, Yuqing Song, Ramazan Savas Aygün, Aidong Zhang:
NetMedia: Giving Control to Distributed Multimedia Presentation Systems. SSDBM 1999: 276 - [c27]Dantong Yu, Lei Zhu, Aidong Zhang, Ling Bian:
GiView: A Multi-Resolution Geographical Data Retrieval System. SSDBM 1999: 277 - 1998
- [j11]Aidong Zhang, Wendy Chang, Gholamhosein Sheikholeslami, Tanveer Fathima Syeda-Mahmood:
NetView: Integrating Large-Scale Distributed Visual Databases. IEEE Multim. 5(3): 47-59 (1998) - [j10]Sreenivas Gollapudi, Aidong Zhang:
Buffer Model and Management in Distributed Multimedia Presentation Systems. Multim. Syst. 6(3): 206-218 (1998) - [j9]Wendy Chang, Gholamhosein Sheikholeslami, Jia Wang, Aidong Zhang:
Data Resource Selection in Distributed Visual Information Systems. IEEE Trans. Knowl. Data Eng. 10(6): 926-946 (1998) - [c26]Markus Mielke, Aidong Zhang:
A Multi-level Buffering and Feedback Scheme for Distributed Multimedia Presentation Systems. ICCCN 1998: 219-226 - [c25]Wendy Chang, Deepak Murthy, Aidong Zhang, Tanveer Fathima Syeda-Mahmood:
Global Integration of Visual Databases. ICDE 1998: 542-549 - [c24]Gholamhosein Sheikholeslami, Surojit Chatterjee, Aidong Zhang:
NeuroMerge: An Approach for Merging Heterogeneous Features in Content-based Image Retrieval Systems. IW-MMDBMS 1998: 106-113 - [c23]Gholamhosein Sheikholeslami, Wendy Chang, Aidong Zhang:
Semantic Clustering and Querying on Heterogeneous Features for Visual Data. ACM Multimedia 1998: 3-12 - [c22]Gholamhosein Sheikholeslami, Surojit Chatterjee, Aidong Zhang:
WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases. VLDB 1998: 428-439 - 1997
- [j8]Evaggelia Pitoura, Aidong Zhang, Bharat K. Bhargava:
On Relaxing Serializability by Constraining Transaction Readsets. Inf. Syst. 22(6/7): 387-400 (1997) - [j7]Aidong Zhang, Thomas V. Johnson:
Scheduling Multimedia Presentations in Educational Digital Libraries. Int. J. Digit. Libr. 1(4): 386-400 (1997) - [j6]J. Guo, Aidong Zhang, Edward Remias, Gholamhosein Sheikholeslami:
Image Decomposition and Representation in Large Image Database Systems. J. Vis. Commun. Image Represent. 8(2): 167-181 (1997) - [j5]Edward Remias, Gholamhosein Sheikholeslami, Aidong Zhang, Tanveer Fathima Syeda-Mahmood:
Supporting Content-Based Retrieval in Large Image Database Systems. Multim. Tools Appl. 4(2): 153-170 (1997) - [c21]Aidong Zhang, Thomas V. Johnson:
A Framework for Supporting Quality-Based Multimedia Presentation in Educational Digital Libraries. ADL 1997: 102-113 - [c20]Gholamhosein Sheikholeslami, Aidong Zhang, Ling Bian:
Geographical Image Classification and Retrieval. ACM-GIS 1997: 58-61 - [c19]Thomas V. Johnson, Aidong Zhang:
A Framework for Supporting Quality-Based Presentation of Continuous Multimedia Streams. ICMCS 1997: 169-176 - [c18]Aidong Zhang, Wendy Chang, Deepak Murthy, Tanveer Fathima Syeda-Mahmood:
Meta-Database and Search Agent for Multimedia Database Access over Internet. ICMCS 1997: 626-627 - [c17]V. Balachandran, G. Bhat, S. Chakravarty, Aidong Zhang:
A Network Manager on Ethernets for Distributed Multimedia Systems. LCN 1997: 410-419 - [c16]Wendy Chang, Aidong Zhang:
Metadata for Distributed Visual Database Access. MD 1997 - [c15]Wendy Chang, Gholamhosein Sheikholeslami, Aidong Zhang, Tanveer Fathima Syeda-Mahmood:
Efficient Resource Selection in Distributed Visual Information Systems. ACM Multimedia 1997: 203-213 - [c14]Deepak Murthy, Aidong Zhang:
WebView: A Multimedia Database Resource Integration and Search System over Web. WebNet 1997 - 1996
- [j4]Aidong Zhang, Biao Cheng, Raj Acharya:
A Fractal-Based Clustering Approach in Large Visual Database Systems. Multim. Tools Appl. 3(3): 225-244 (1996) - [j3]Ahmed K. Elmagarmid, Jin Jing, Won Kim, Omran A. Bukhres, Aidong Zhang:
Global Committability in Multidatabase Systems. IEEE Trans. Knowl. Data Eng. 8(5): 816-824 (1996) - [c13]Raghu Menon, Raj Acharya, Aidong Zhang:
Content based image display from image databases using spatio-temporal transfers and fractal analysis methods. ICIP (3) 1996: 863-866 - [c12]Sreenivas Gollapudi, Aidong Zhang:
Buffer Management in Multimedia Database Systems. ICMCS 1996: 186- - [c11]Edward Remias, Gholamhosein Sheikholeslami, Aidong Zhang:
Block-Oriented Image Decomposition and Retrieval in Image Database Systems. IW-MMDBMS 1996: 85-92 - [c10]Sreenivas Gollapudi, Aidong Zhang:
NetMedia: A Client-Server Distributed Multimedia Environment. IW-MMDBMS 1996: 160-167 - [c9]Aidong Zhang, Shavinder Multani:
Implementation of Video Presentation in Database Systems. Storage and Retrieval for Image and Video Databases (SPIE) 1996: 228-238 - 1995
- [c8]Aidong Zhang, Biao Cheng, Raj Acharya:
Texture-based Image Retrieval in Image Database Systems. DEXA Workshop 1995: 349-356 - [c7]Evaggelia Pitoura, Aidong Zhang, Bharat K. Bhargava:
A View-Based Approach to Relaxing Global Serializability in a Multidatabase System (Abstract). PODC 1995: 265 - 1994
- [b1]Aidong Zhang:
Advanced transaction management for supporting interoperability in multidatabase systems. Purdue University, USA, 1994 - [c6]Bharat K. Bhargava, Melliyal Annamalai, Shalab Goel, Shunge Li, Evaggelia Pitoura, Aidong Zhang, Yongguang Zhang:
DL-Raid: An Environment for Supporting Digital Library Services. DL 1994: 281-300 - [c5]Aidong Zhang, Marian H. Nodine, Bharat K. Bhargava, Omran A. Bukhres:
Ensuring Relaxed Atomicity for Flexible Transactions in Multidatabase Systems. SIGMOD Conference 1994: 67-78 - 1993
- [j2]Jiaoying Shi, Aidong Zhang, José L. Encarnação, Martin Göbel:
A modified radiosity algorithm for integrated visual and auditory rendering. Comput. Graph. 17(6): 633-642 (1993) - [j1]Aidong Zhang, Ahmed K. Elmagarmid:
A Theory of Global Concurrency Control in Multidatabase Systems. VLDB J. 2(3): 331-360 (1993) - [c4]Aidong Zhang, Ahmed K. Elmagarmid:
On Global Transaction Scheduling Criteria in Multidatabase Systems. PDIS 1993: 117-124 - [c3]Aidong Zhang, Jin Jing:
On Structural Features of Global Transactions in Multidatabase Systems. RIDE-IMS 1993: 199-206 - 1991
- [c2]Tao Wang, Aidong Zhang, Xiaoliang Xing:
Automatic Visual Inspection: A Morphological Approach. ITAMS 1991: 547-554
1980 – 1989
- 1989
- [c1]Aidong Zhang, V. Wiktor Marek:
On the Classification and Existence of Structures in Default Logic. EPIA 1989: 129-140
Coauthor Index
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