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ORCIDMing Zhang 0004
张铭
Person information
- unicode name: 张铭
- affiliation (PhD 2005): Peking University, School of Computer Science, Beijing, China
Other persons with the same name
- Ming Zhang — disambiguation page
- Ming Zhang 0001 — Zhejiang University, Institute of Information and Communication Engineering, Hangzhou, China (and 1 more)
- Ming Zhang 0002
![[0000-0002-6027-4594]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-6027-4594")
— Hong Kong Polytechnic University, Department of Health Technology & Information, Hong Kong - Ming Zhang 0003 — Harbin Engineering University, College of Information and Telecommunication, China
- Ming Zhang 0005 — Alibaba Group (and 1 more)
- Ming Zhang 0006 — University of Ottawa, PARADISE Research Laboratory, ON, Canada (and 1 more)
- Ming Zhang 0007 — University of Paris-Sud, Orsay, France
- Ming Zhang 0008 — Texas A&M University, Department of Computer Science, College Station, TX, USA
- Ming Zhang 0009 — Huazhong University of Science and Technology, School of Electrical and Electronic Engineering, Wuhan, China
- Ming Zhang 0010 — Xi'an Jiaotong University, School of Electronic and Information Engineering, China
- Ming Zhang 0011 — Harbin Institute of Technology, School of Electrical Engineering and Automation, China
- Ming Zhang 0012 — Xidian University, State Key Laboratory of Integrated Services Networks, Xi'an, China
- Ming Zhang 0013 — Anhui Polytechnic University, Wuhu, China
- Ming Zhang 0014 — Tsinghua University, Department of Precision Instruments and Mechanology, Beijing, China
- Ming Zhang 0015 — Aston University. Birmingham, UK (and 1 more)
- Ming Zhang 0016 — Mindray, Nanshan, China (and 1 more)
- Ming Zhang 0017 — Intel, CA, USA (and 1 more)
- Ming Zhang 0018 — Zhejiang University, Hangzhou, China
- Ming Zhang 0019 — China University of Geosciences, Wuhan, China
- Ming Zhang 0020 — Christopher Newport University, Department of Physics, Computer Science and Engineering, VA, 23606, USA
- Ming Zhang 0021 — National Key Laboratory of Science and Technology, Beijing Information System Security, China
- Ming Zhang 0022 — Nanjing University of Aeronautics and Astronautics, College of General Aviation and Flight, China
- Ming Zhang 0023 — City University of Hong Kong, Centre for Intelligent Multidimensional Data Analysis Limited, Department of Electrical Engineering, Hong Kong
- Ming Zhang 0024 — Southeast University, China
- Ming Zhang 0025 — Dalian Maritime University, Information Science and Technology College, China (and 1 more)
- Ming Zhang 0026 — Virtustream (and 1 more)
- Ming Zhang 0027 — National University of Defense Technology, College of Artificial Intelligence, College of Mechatronic Engineering and Automation, Changsha, China
- Ming Zhang 0028 — University of Florida, Department of Computer and Information Science and Engineering, Gainesville, FL, USA
- Ming Zhang 0029 — University of Science and Technology of China, CAS Key Laboratory of Wireless-Optical Communications, Hefei, China
- Ming Zhang 0030 — Fudan University, Shanghai, China
- Ming Zhang 0031 — Chinese Academy of Sciences, Academy of Mathematics and Systems Science, Beijing, China (and 1 more)
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2020 – today
- 2025
[j41]Yifan Wang, Yangzi Yang, Shuai Li, Yutao Xie, Zhiping Xiao, Ming Zhang, Wei Ju:
GMR-Rec: Graph mutual regularization learning for multi-domain recommendation. Inf. Sci. 703: 121946 (2025)- [j40]Junyu Luo, Yusheng Zhao, Xiao Luo, Zhiping Xiao, Wei Ju, Li Shen, Dacheng Tao, Ming Zhang:
Cross-Domain Diffusion With Progressive Alignment for Efficient Adaptive Retrieval. IEEE Trans. Image Process. 34: 1820-1834 (2025) - [c176]Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Jianhao Shen, Ziyue Qiao, Ming Zhang:
Cluster-guided Contrastive Class-imbalanced Graph Classification. AAAI 2025: 11924-11932 - [c175]Hourun Li, Yifan Wang, Zhiping Xiao, Jia Yang, Changling Zhou, Ming Zhang, Wei Ju:
DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation. AAAI 2025: 12049-12057 - [c174]Yifang Qin, Jiaxuan Xie, Zhiping Xiao, Ming Zhang:
GeoMamba: Towards Multi-granular POI Recommendation with Geographical State Space Model. AAAI 2025: 12479-12487 - [c173]Yusheng Zhao, Changhu Wang, Xiao Luo, Junyu Luo, Wei Ju, Zhiping Xiao, Ming Zhang:
TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs. AAAI 2025: 13401-13409 - [c172]Yusheng Zhao, Junyu Luo, Xiao Luo, Jinsheng Huang, Jingyang Yuan, Zhiping Xiao, Ming Zhang:
Attention Bootstrapping for Multi-Modal Test-Time Adaptation. AAAI 2025: 22849-22857 - [c171]Xiao Luo, Junyu Luo, Huiyu Jiang, Hang Zhou, Zhiping Xiao, Wei Ju, Carl Ji Yang, Ming Zhang, Yizhou Sun:
Future Matters for Present: Towards Effective Physical Simulation over Meshes. KDD (1) 2025: 906-917 - [i92]Kangjie Zheng, Junwei Yang, Siyue Liang, Bin Feng, Zequn Liu, Wei Ju, Zhiping Xiao, Ming Zhang:
ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models. CoRR abs/2501.13397 (2025) - [i91]Jingyang Yuan, Huazuo Gao, Damai Dai, Junyu Luo, Liang Zhao, Zhengyan Zhang, Zhenda Xie, Y. X. Wei, Lean Wang, Zhiping Xiao, Yuqing Wang, Chong Ruan, Ming Zhang, Wenfeng Liang, Wangding Zeng:
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention. CoRR abs/2502.11089 (2025) - [i90]Yusheng Zhao, Junyu Luo, Xiao Luo, Jinsheng Huang, Jingyang Yuan, Zhiping Xiao, Ming Zhang:
Attention Bootstrapping for Multi-Modal Test-Time Adaptation. CoRR abs/2503.02221 (2025) - [i89]Junyu Luo, Weizhi Zhang, Ye Yuan, Yusheng Zhao, Junwei Yang, Yiyang Gu, Bohan Wu, Binqi Chen, Ziyue Qiao, Qingqing Long, Rongcheng Tu, Xiao Luo, Wei Ju, Zhiping Xiao, Yifan Wang, Meng Xiao, Chenwu Liu, Jingyang Yuan, Shichang Zhang, Yiqiao Jin, Fan Zhang, Xian Wu, Hanqing Zhao, Dacheng Tao, Philip S. Yu, Ming Zhang:
Large Language Model Agent: A Survey on Methodology, Applications and Challenges. CoRR abs/2503.21460 (2025) - 2024
- [j39]Wei Ju, Yusheng Zhao, Yifang Qin, Siyu Yi, Jingyang Yuan, Zhiping Xiao, Xiao Luo, Xiting Yan, Ming Zhang:
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting. Inf. Fusion 107: 102341 (2024) - [j38]Yutong Liu, Qiao Xiang, Juan Chen, Ming Zhang, Jingdong Xu, Yuan Luo:
Undergraduate Computer Science Education in China. Inroads 15(1): 28-36 (2024) - [j37]Bin Feng, Zequn Liu, Nan-Lan Huang, Zhiping Xiao, Haomiao Zhang, Srbuhi Mirzoyan, Hanwen Xu, Jiaran Hao, Yinghui Xu, Ming Zhang, Sheng Wang:
A bioactivity foundation model using pairwise meta-learning. Nat. Mac. Intell. 6(8): 962-974 (2024) - [j36]Junwei Yang, Hanwen Xu, Srbuhi Mirzoyan, Tong Chen, Zixuan Liu, Zequn Liu, Wei Ju, Luchen Liu, Zhiping Xiao, Ming Zhang, Sheng Wang:
Poisoning medical knowledge using large language models. Nat. Mac. Intell. 6(10): 1156-1168 (2024) - [j35]Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Yifan Wang, Xiao Luo, Ming Zhang:
A Comprehensive Survey on Deep Graph Representation Learning. Neural Networks 173: 106207 (2024) - [j34]Junyu Luo, Yiyang Gu, Xiao Luo, Wei Ju, Zhiping Xiao, Yusheng Zhao, Jingyang Yuan, Ming Zhang:
GALA: Graph Diffusion-Based Alignment With Jigsaw for Source-Free Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9038-9051 (2024) - [j33]Wei Ju, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Siyu Yi, Zhiping Xiao, Xiao Luo, Yanjie Fu, Ming Zhang:
Focus on informative graphs! Semi-supervised active learning for graph-level classification. Pattern Recognit. 153: 110567 (2024) - [j32]Xiao Luo, Daqing Wu, Yiyang Gu, Chong Chen, Luchen Liu, Jinwen Ma, Ming Zhang, Minghua Deng, Jianqiang Huang, Xian-Sheng Hua:
Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation. ACM Trans. Knowl. Discov. Data 18(1): 14:1-14:26 (2024) - [j31]Xiao Luo, Wei Ju, Yiyang Gu, Zhengyang Mao, Luchen Liu, Yuhui Yuan, Ming Zhang:
Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning. ACM Trans. Knowl. Discov. Data 18(2): 34:1-34:23 (2024) - [j30]Xiao Luo, Yusheng Zhao, Yifang Qin, Wei Ju, Ming Zhang:
Towards Semi-Supervised Universal Graph Classification. IEEE Trans. Knowl. Data Eng. 36(1): 416-428 (2024) - [j29]Yifang Qin, Wei Ju, Hongjun Wu, Xiao Luo, Ming Zhang:
Learning Graph ODE for Continuous-Time Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 36(7): 3224-3236 (2024) - [j28]Xiao Luo, Wei Ju, Meng Qu, Yiyang Gu, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang:
CLEAR: Cluster-Enhanced Contrast for Self-Supervised Graph Representation Learning. IEEE Trans. Neural Networks Learn. Syst. 35(1): 899-912 (2024) - [j27]Siyu Yi, Wei Ju, Yifang Qin, Xiao Luo, Luchen Liu, Yong-Dao Zhou, Ming Zhang:
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18313-18327 (2024) - [j26]Yifang Qin, Hongjun Wu, Wei Ju, Xiao Luo, Ming Zhang:
A Diffusion Model for POI Recommendation. ACM Trans. Inf. Syst. 42(2): 54:1-54:27 (2024) - [j25]Xiao Luo, Wei Ju, Yiyang Gu, Yifang Qin, Siyu Yi, Daqing Wu, Luchen Liu, Ming Zhang:
Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling. ACM Trans. Multim. Comput. Commun. Appl. 20(3): 82:1-82:19 (2024) - [c170]Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu:
Preparing Lessons for Progressive Training on Language Models. AAAI 2024: 18860-18868 - [c169]Wei Ju, Siyu Yi, Ming Zhang:
Evidential Self-Supervised Graph Representation Learning via Prototype-based Consistency. ACM TUR-C 2024 - [c168]Jianhao Shen, Ye Yuan, Srbuhi Mirzoyan, Ming Zhang, Chenguang Wang:
Measuring Vision-Language STEM Skills of Neural Models. ICLR 2024 - [c167]Xiao Luo, Yiyang Gu, Huiyu Jiang, Hang Zhou, Jinsheng Huang, Wei Ju, Zhiping Xiao, Ming Zhang, Yizhou Sun:
PGODE: Towards High-quality System Dynamics Modeling. ICML 2024 - [c166]Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Yifan Wang, Xiao Luo, Ming Zhang:
Hypergraph-enhanced Dual Semi-supervised Graph Classification. ICML 2024 - [c165]Junwei Yang, Kangjie Zheng, Siyu Long, Zaiqing Nie, Ming Zhang, Xinyu Dai, Wei-Ying Ma, Hao Zhou:
Mol-AE: Auto-Encoder Based Molecular Representation Learning With 3D Cloze Test Objective. ICML 2024 - [c164]Kangjie Zheng, Siyu Long, Tianyu Lu, Junwei Yang, Xinyu Dai, Ming Zhang, Zaiqing Nie, Wei-Ying Ma, Hao Zhou:
ESM All-Atom: Multi-Scale Protein Language Model for Unified Molecular Modeling. ICML 2024 - [c163]Junyu Luo, Zhiping Xiao, Yifan Wang, Xiao Luo, Jingyang Yuan, Wei Ju, Langechuan Liu, Ming Zhang:
Rank and Align: Towards Effective Source-free Graph Domain Adaptation. IJCAI 2024: 4706-4714 - [c162]Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, Ming Zhang:
A Survey of Data-Efficient Graph Learning. IJCAI 2024: 8104-8113 - [c161]Ye Yuan, Kexin Tang, Jianhao Shen, Ming Zhang, Chenguang Wang:
Measuring Social Norms of Large Language Models. NAACL-HLT (Findings) 2024: 650-699 - [c160]Jingyang Yuan, Gongbo Sun, Zhiping Xiao, Hang Zhou, Xiao Luo, Junyu Luo, Yusheng Zhao, Wei Ju, Ming Zhang:
EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics. NeurIPS 2024 - [e3]Mohsen Dorodchi, Ming Zhang, Stephen Cooper:
Proceedings of the 2024 ACM Virtual Global Computing Education Conference V. 1, SIGCSE Virtual 2024, Virtual Event, NC, USA, December 5-8, 2024. ACM 2024 [contents] - [e2]Mohsen Dorodchi, Ming Zhang, Stephen Cooper:
Proceedings of the 2024 ACM Virtual Global Computing Education Conference V. 2, SIGCSE Virtual 2024, Virtual Event, NC, USA, December 5-8, 2024. ACM 2024 [contents] - [i88]Hourun Li, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Zhiping Xiao, Jiaqi Feng, Yiyang Gu, Wei Ju, Xiao Luo, Ming Zhang:
A Survey on Graph Neural Networks in Intelligent Transportation Systems. CoRR abs/2401.00713 (2024) - [i87]Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu:
Preparing Lessons for Progressive Training on Language Models. CoRR abs/2401.09192 (2024) - [i86]Yifang Qin, Wei Ju, Xiao Luo, Yiyang Gu, Zhiping Xiao, Ming Zhang:
PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering. CoRR abs/2401.12590 (2024) - [i85]Wei Ju, Yiyang Gu, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Xiao Luo, Hui Xiong, Ming Zhang:
GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling. CoRR abs/2401.16011 (2024) - [i84]Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, Ming Zhang:
A Survey of Data-Efficient Graph Learning. CoRR abs/2402.00447 (2024) - [i83]Jianhao Shen, Ye Yuan, Srbuhi Mirzoyan, Ming Zhang, Chenguang Wang:
Measuring Vision-Language STEM Skills of Neural Models. CoRR abs/2402.17205 (2024) - [i82]Wei Ju, Yusheng Zhao, Yifang Qin, Siyu Yi, Jingyang Yuan, Zhiping Xiao, Xiao Luo, Xiting Yan, Ming Zhang:
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting. CoRR abs/2403.01091 (2024) - [i81]Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Xiao Luo, Philip S. Yu, Ming Zhang:
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges. CoRR abs/2403.04468 (2024) - [i80]Kangjie Zheng, Siyu Long, Tianyu Lu, Junwei Yang, Xinyu Dai, Ming Zhang, Zaiqing Nie, Wei-Ying Ma, Hao Zhou:
Multi-Scale Protein Language Model for Unified Molecular Modeling. CoRR abs/2403.12995 (2024) - [i79]Ye Yuan, Kexin Tang, Jianhao Shen, Ming Zhang, Chenguang Wang:
Measuring Social Norms of Large Language Models. CoRR abs/2404.02491 (2024) - [i78]Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Yifan Wang, Xiao Luo, Ming Zhang:
Hypergraph-enhanced Dual Semi-supervised Graph Classification. CoRR abs/2405.04773 (2024) - [i77]Wei Ju, Yifan Wang, Yifang Qin, Zhengyang Mao, Zhiping Xiao, Junyu Luo, Junwei Yang, Yiyang Gu, Dongjie Wang, Qingqing Long, Siyu Yi, Xiao Luo, Ming Zhang:
Towards Graph Contrastive Learning: A Survey and Beyond. CoRR abs/2405.11868 (2024) - [i76]Jinsheng Huang, Liang Chen, Taian Guo, Fu Zeng, Yusheng Zhao, Bohan Wu, Ye Yuan, Haozhe Zhao, Zhihui Guo, Yichi Zhang, Jingyang Yuan, Wei Ju, Luchen Liu, Tianyu Liu, Baobao Chang, Ming Zhang:
MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation. CoRR abs/2407.00468 (2024) - [i75]Alan Wu, Ye Yuan, Ming Zhang:
Vision-Braille: An End-to-End Tool for Chinese Braille Image-to-Text Translation. CoRR abs/2407.06048 (2024) - [i74]Yifan Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua, Ming Zhang, Wei Ju:
DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning. CoRR abs/2407.14081 (2024) - [i73]Ye Yuan, Chengwu Liu, Jingyang Yuan, Gongbo Sun, Siqi Li, Ming Zhang:
A Hybrid RAG System with Comprehensive Enhancement on Complex Reasoning. CoRR abs/2408.05141 (2024) - [i72]Bo-Wen Zhang, Liangdong Wang, Ye Yuan, Jijie Li, Shuhao Gu, Mengdi Zhao, Xinya Wu, Guang Liu, Chengwei Wu, Hanyu Zhao, Li Du, Yiming Ju, Quanyue Ma, Yulong Ao, Yingli Zhao, Songhe Zhu, Zhou Cao, Dong Liang, Yonghua Lin, Ming Zhang, Shunfei Wang, Yanxin Zhou, Min Ye, Xuekai Chen, Xinyang Yu, Xiangjun Huang, Jian Yang:
AquilaMoE: Efficient Training for MoE Models with Scale-Up and Scale-Out Strategies. CoRR abs/2408.06567 (2024) - [i71]Junyu Luo, Zhiping Xiao, Yifan Wang, Xiao Luo, Jingyang Yuan, Wei Ju, Langechuan Liu, Ming Zhang:
Rank and Align: Towards Effective Source-free Graph Domain Adaptation. CoRR abs/2408.12185 (2024) - [i70]Junyu Luo, Xiao Luo, Xiusi Chen, Zhiping Xiao, Wei Ju, Ming Zhang:
SemiEvol: Semi-supervised Fine-tuning for LLM Adaptation. CoRR abs/2410.14745 (2024) - [i69]Junyu Luo, Yiyang Gu, Xiao Luo, Wei Ju, Zhiping Xiao, Yusheng Zhao, Jingyang Yuan, Ming Zhang:
GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain Adaptation. CoRR abs/2410.16606 (2024) - [i68]Kangjie Zheng, Siyue Liang, Junwei Yang, Bin Feng, Zequn Liu, Wei Ju, Zhiping Xiao, Ming Zhang:
SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision. CoRR abs/2412.05569 (2024) - [i67]Yusheng Zhao, Xiao Luo, Haomin Wen, Zhiping Xiao, Wei Ju, Ming Zhang:
Embracing Large Language Models in Traffic Flow Forecasting. CoRR abs/2412.12201 (2024) - [i66]Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Jianhao Shen, Ziyue Qiao, Ming Zhang:
Cluster-guided Contrastive Class-imbalanced Graph Classification. CoRR abs/2412.12984 (2024) - [i65]Junyu Luo, Xiao Luo, Kaize Ding, Jingyang Yuan, Zhiping Xiao, Ming Zhang:
RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response. CoRR abs/2412.14922 (2024) - [i64]Hourun Li, Yifan Wang, Zhiping Xiao, Jia Yang, Changling Zhou, Ming Zhang, Wei Ju:
DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation. CoRR abs/2412.15005 (2024) - 2023
- [j24]Wei Ju, Yiyang Gu, Xiao Luo, Yifan Wang, Haochen Yuan, Huasong Zhong, Ming Zhang:
Unsupervised graph-level representation learning with hierarchical contrasts. Neural Networks 158: 359-368 (2023) - [j23]Wei Ju, Zequn Liu, Yifang Qin, Bin Feng, Chen Wang, Zhihui Guo, Xiao Luo, Ming Zhang:
Few-shot Molecular Property Prediction via Hierarchically Structured Learning on Relation Graphs. Neural Networks 163: 122-131 (2023) - [j22]Siyu Yi, Zhengyang Mao, Wei Ju, Yong-Dao Zhou, Luchen Liu, Xiao Luo, Ming Zhang:
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts. IEEE Trans. Big Data 9(6): 1683-1696 (2023) - [j21]Xiao Luo, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun:
RIGNN: A Rationale Perspective for Semi-supervised Open-world Graph Classification. Trans. Mach. Learn. Res. 2023 (2023) - [j20]Wei Ju, Yifang Qin, Siyu Yi, Zhengyang Mao, Kangjie Zheng, Luchen Liu, Xiao Luo, Ming Zhang:
Zero-shot Node Classification with Graph Contrastive Embedding Network. Trans. Mach. Learn. Res. 2023 (2023) - [c159]Wei Ju, Yiyang Gu, Binqi Chen, Gongbo Sun, Yifang Qin, Xingyuming Liu, Xiao Luo, Ming Zhang:
GLCC: A General Framework for Graph-Level Clustering. AAAI 2023: 4391-4399 - [c158]Zequn Liu, Wei Zhang, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Ming Zhang, Tie-Yan Liu:
MolXPT: Wrapping Molecules with Text for Generative Pre-training. ACL (2) 2023: 1606-1616 - [c157]Jing Xiong, Jianhao Shen, Ye Yuan, Haiming Wang, Yichun Yin, Zhengying Liu, Lin Li, Zhijiang Guo, Qingxing Cao, Yinya Huang, Chuanyang Zheng, Xiaodan Liang, Ming Zhang, Qun Liu:
TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models. EMNLP 2023: 11594-11632 - [c156]Jingyang Yuan, Xiao Luo, Yifang Qin, Yusheng Zhao, Wei Ju, Ming Zhang:
Learning on Graphs under Label Noise. ICASSP 2023: 1-5 - [c155]Kangjie Zheng, Longyue Wang, Zhihao Wang, Binqi Chen, Ming Zhang, Zhaopeng Tu:
Towards a Unified Training for Levenshtein Transformer. ICASSP 2023: 1-5 - [c154]Yusheng Zhao, Xiao Luo, Wei Ju, Chong Chen, Xian-Sheng Hua, Ming Zhang:
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting. ICDE 2023: 2303-2316 - [c153]Xiao Luo, Jingyang Yuan, Zijie Huang, Huiyu Jiang, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun:
HOPE: High-order Graph ODE For Modeling Interacting Dynamics. ICML 2023: 23124-23139 - [c152]Jingyang Yuan, Xiao Luo, Yifang Qin, Zhengyang Mao, Wei Ju, Ming Zhang:
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels. ACM Multimedia 2023: 3647-3656 - [c151]Zhengyang Mao, Wei Ju, Yifang Qin, Xiao Luo, Ming Zhang:
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification. ACM Multimedia 2023: 3817-3826 - [c150]Zhaocheng Zhu, Xinyu Yuan, Michael Galkin, Louis-Pascal A. C. Xhonneux, Ming Zhang, Maxime Gazeau, Jian Tang:
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs. NeurIPS 2023 - [c149]Yifang Qin, Yifan Wang, Fang Sun, Wei Ju, Xuyang Hou, Zhe Wang, Jia Cheng, Jun Lei, Ming Zhang:
DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation. WSDM 2023: 508-516 - [i63]Bin Feng, Tenglong Ao, Zequn Liu, Wei Ju, Libin Liu, Ming Zhang:
Robust Dancer: Long-term 3D Dance Synthesis Using Unpaired Data. CoRR abs/2303.16856 (2023) - [i62]Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Xiao Luo, Ming Zhang:
A Comprehensive Survey on Deep Graph Representation Learning. CoRR abs/2304.05055 (2023) - [i61]Yifang Qin, Hongjun Wu, Wei Ju, Xiao Luo, Ming Zhang:
A Diffusion model for POI recommendation. CoRR abs/2304.07041 (2023) - [i60]Yifang Qin, Wei Ju, Hongjun Wu, Xiao Luo, Ming Zhang:
Learning Graph ODE for Continuous-Time Sequential Recommendation. CoRR abs/2304.07042 (2023) - [i59]Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang:
TGNN: A Joint Semi-supervised Framework for Graph-level Classification. CoRR abs/2304.11688 (2023) - [i58]Fang Sun, Zhihao Zhan, Hongyu Guo, Ming Zhang, Jian Tang:
GraphVF: Controllable Protein-Specific 3D Molecule Generation with Variational Flow. CoRR abs/2304.12825 (2023) - [i57]Zequn Liu, Wei Zhang, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Ming Zhang, Tie-Yan Liu:
MolXPT: Wrapping Molecules with Text for Generative Pre-training. CoRR abs/2305.10688 (2023) - [i56]Xiao Luo, Yusheng Zhao, Yifang Qin, Wei Ju, Ming Zhang:
Towards Semi-supervised Universal Graph Classification. CoRR abs/2305.19598 (2023) - [i55]Jingyang Yuan, Xiao Luo, Yifang Qin, Yusheng Zhao, Wei Ju, Ming Zhang:
Learning on Graphs under Label Noise. CoRR abs/2306.08194 (2023) - [i54]Zhengyang Mao, Wei Ju, Yifang Qin, Xiao Luo, Ming Zhang:
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification. CoRR abs/2308.02335 (2023) - [i53]Siyu Yi, Zhengyang Mao, Wei Ju, Yongdao Zhou, Luchen Liu, Xiao Luo, Ming Zhang:
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts. CoRR abs/2308.16609 (2023) - [i52]Chengwu Liu, Jianhao Shen, Huajian Xin, Zhengying Liu, Ye Yuan, Haiming Wang, Wei Ju, Chuanyang Zheng, Yichun Yin, Lin Li, Ming Zhang, Qun Liu:
FIMO: A Challenge Formal Dataset for Automated Theorem Proving. CoRR abs/2309.04295 (2023) - [i51]Siyu Yi, Wei Ju, Yifang Qin, Xiao Luo, Luchen Liu, Yong-Dao Zhou, Ming Zhang:
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering. CoRR abs/2309.04694 (2023) - [i50]Yusheng Zhao, Xiao Luo, Wei Ju, Chong Chen, Xian-Sheng Hua, Ming Zhang:
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting. CoRR abs/2309.12028 (2023) - [i49]Jingyang Yuan, Xiao Luo, Yifang Qin, Zhengyang Mao, Wei Ju, Ming Zhang:
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels. CoRR abs/2309.14673 (2023) - [i48]Jing Xiong, Jianhao Shen, Ye Yuan, Haiming Wang, Yichun Yin, Zhengying Liu, Lin Li, Zhijiang Guo, Qingxing Cao, Yinya Huang, Chuanyang Zheng, Xiaodan Liang, Ming Zhang, Qun Liu:
TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models. CoRR abs/2310.10180 (2023) - [i47]Xiao Luo, Yiyang Gu, Huiyu Jiang, Jinsheng Huang, Wei Ju, Ming Zhang, Yizhou Sun:
Graph ODE with Factorized Prototypes for Modeling Complicated Interacting Dynamics. CoRR abs/2311.06554 (2023) - [i46]Jiankai Sun, Chuanyang Zheng, Enze Xie, Zhengying Liu, Ruihang Chu, Jianing Qiu, Jiaqi Xu, Mingyu Ding, Hongyang Li, Mengzhe Geng, Yue Wu, Wenhai Wang, Junsong Chen, Zhangyue Yin, Xiaozhe Ren, Jie Fu, Junxian He, Wu Yuan, Qi Liu, Xihui Liu, Yu Li, Hao Dong, Yu Cheng, Ming Zhang, Pheng-Ann Heng, Jifeng Dai, Ping Luo, Jingdong Wang, Ji-Rong Wen, Xipeng Qiu, Yike Guo, Hui Xiong, Qun Liu, Zhenguo Li:
A Survey of Reasoning with Foundation Models. CoRR abs/2312.11562 (2023) - 2022
- [j19]Ruiyi Zhang, Yunan Luo, Jianzhu Ma, Ming Zhang, Sheng Wang:
scPretrain: multi-task self-supervised learning for cell-type classification. Bioinform. 38(6): 1607-1614 (2022) - [j18]Wei Ju, Xiao Luo, Zeyu Ma, Junwei Yang, Minghua Deng, Ming Zhang:
GHNN: Graph Harmonic Neural Networks for semi-supervised graph-level classification. Neural Networks 151: 70-79 (2022) - [c148]Yifan Wang, Yiping Song, Shuai Li, Chaoran Cheng, Wei Ju, Ming Zhang, Sheng Wang:
DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation. AAAI 2022: 11449-11458 - [c147]Yifan Wang, Yongkang Li, Shuai Li, Weiping Song, Jiangke Fan, Shan Gao, Ling Ma, Bing Cheng, Xunliang Cai, Sheng Wang, Ming Zhang:
Deep Graph Mutual Learning for Cross-domain Recommendation. DASFAA (2) 2022: 298-305 - [c146]Jianhao Shen, Chenguang Wang, Ye Yuan, Jiawei Han, Heng Ji, Koushik Sen, Ming Zhang, Dawn Song:
PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion. EMNLP (Findings) 2022: 3833-3847 - [c145]Zequn Liu, Kefei Duan, Junwei Yang, Hanwen Xu, Ming Zhang, Sheng Wang:
MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information Networks. EMNLP 2022: 5110-5122 - [c144]Yiping Song, Zheng Xie, Jianping Li, Luchen Liu, Ming Zhang, Zhiliang Tian:
Retrieval Bias Aware Ensemble Model for Conditional Sentence Generation. ICASSP 2022: 6602-6606 - [c143]Xiao Luo, Wei Ju, Meng Qu, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang:
DualGraph: Improving Semi-supervised Graph Classification via Dual Contrastive Learning. ICDE 2022: 699-712 - [c142]Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, Ming Zhang:
Kernel-based Substructure Exploration for Next POI Recommendation. ICDM 2022: 221-230 - [c141]Yiping Song, Wei Ju, Zhiliang Tian, Luchen Liu, Ming Zhang, Zheng Xie:
Building Conversational Diagnosis Systems for Fine-Grained Diseases Using Few Annotated Data. ICONIP (3) 2022: 591-603 - [c140]Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang:
TGNN: A Joint Semi-supervised Framework for Graph-level Classification. IJCAI 2022: 2122-2128 - [c139]Yifan Wang, Jianhao Shen, Yiping Song, Sheng Wang, Ming Zhang:
HE-SNE: Heterogeneous Event Sequence-based Streaming Network Embedding for Dynamic Behaviors. IJCNN 2022: 1-8 - [c138]Junwei Yang, Zequn Liu, Ming Zhang, Sheng Wang:
Pathway2Text: Dataset and Method for Biomedical Pathway Description Generation. NAACL-HLT (Findings) 2022: 1441-1454 - [c137]Yifan Wang, Yifang Qin, Yu Han, Mingyang Yin, Jingren Zhou, Hongxia Yang, Ming Zhang:
AD-AUG: Adversarial Data Augmentation for Counterfactual Recommendation. ECML/PKDD (1) 2022: 474-490 - [c136]Yifan Wang, Yifang Qin, Fang Sun, Bo Zhang, Xuyang Hou, Ke Hu, Jia Cheng, Jun Lei, Ming Zhang:
DisenCTR: Dynamic Graph-based Disentangled Representation for Click-Through Rate Prediction. SIGIR 2022: 2314-2318 - [c135]Wei Ju, Junwei Yang, Meng Qu, Weiping Song, Jianhao Shen, Ming Zhang:
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification. WSDM 2022: 421-429 - [i45]Gongbo Sun, Zijie Zheng, Ming Zhang:
End-to-End Rubbing Restoration Using Generative Adversarial Networks. CoRR abs/2205.03743 (2022) - [i44]Wei Ju, Junwei Yang, Meng Qu, Weiping Song, Jianhao Shen, Ming Zhang:
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification. CoRR abs/2205.10550 (2022) - [i43]Zhaocheng Zhu, Xinyu Yuan, Louis-Pascal A. C. Xhonneux, Ming Zhang, Maxime Gazeau, Jian Tang:
Learning to Efficiently Propagate for Reasoning on Knowledge Graphs. CoRR abs/2206.04798 (2022) - [i42]Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, Ming Zhang:
Kernel-based Substructure Exploration for Next POI Recommendation. CoRR abs/2210.03969 (2022) - [i41]Zequn Liu, Kefei Duan, Junwei Yang, Hanwen Xu, Ming Zhang, Sheng Wang:
MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information Networks. CoRR abs/2210.07488 (2022) - [i40]Wei Ju, Yiyang Gu, Binqi Chen, Gongbo Sun, Yifang Qin, Xingyuming Liu, Xiao Luo, Ming Zhang:
GLCC: A General Framework for Graph-level Clustering. CoRR abs/2210.11879 (2022) - [i39]Jianhao Shen, Chenguang Wang, Ye Yuan, Jiawei Han, Heng Ji, Koushik Sen, Ming Zhang, Dawn Song:
PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion. CoRR abs/2210.13715 (2022) - [i38]Yifang Qin, Yifan Wang, Fang Sun, Wei Ju, Xuyang Hou, Zhe Wang, Jia Cheng, Jun Lei, Ming Zhang:
DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation. CoRR abs/2210.16591 (2022) - [i37]Yongkang Li, Ming Zhang:
TIER-A: Denoising Learning Framework for Information Extraction. CoRR abs/2211.11527 (2022) - 2021
- [c134]Jianhao Shen, Yichun Yin, Lin Li, Lifeng Shang, Xin Jiang, Ming Zhang, Qun Liu:
Generate & Rank: A Multi-task Framework for Math Word Problems. EMNLP (Findings) 2021: 2269-2279 - [c133]Zequn Liu, Shukai Wang, Yiyang Gu, Ruiyi Zhang, Ming Zhang, Sheng Wang:
Graphine: A Dataset for Graph-aware Terminology Definition Generation. EMNLP (1) 2021: 3453-3463 - [c132]Kewei Cheng, Ziqing Yang, Ming Zhang, Yizhou Sun:
UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference. EMNLP (1) 2021: 9753-9771 - [i36]Yifan Wang, Suyao Tang, Yuntong Lei, Weiping Song, Sheng Wang, Ming Zhang:
DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation. CoRR abs/2106.10879 (2021) - [i35]Jianhao Shen, Yichun Yin, Lin Li, Lifeng Shang, Xin Jiang, Ming Zhang, Qun Liu:
Generate & Rank: A Multi-task Framework for Math Word Problems. CoRR abs/2109.03034 (2021) - [i34]Zequn Liu, Shukai Wang, Yiyang Gu, Ruiyi Zhang, Ming Zhang, Sheng Wang:
Graphine: A Dataset for Graph-aware Terminology Definition Generation. CoRR abs/2109.04018 (2021) - 2020
- [c131]Yiping Song, Zequn Liu, Wei Bi, Rui Yan, Ming Zhang:
Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks. ACL 2020: 5832-5841 - [c130]Luchen Liu, Zequn Liu, Haoxian Wu, Zichang Wang, Jianhao Shen, Yiping Song, Ming Zhang:
Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases. AMIA 2020 - [c129]Yifan Wang, Suyao Tang, Yuntong Lei, Weiping Song, Sheng Wang, Ming Zhang:
DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation. CIKM 2020: 1605-1614 - [c128]Yichun Yin, Chenguang Wang, Ming Zhang:
PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction. COLING 2020: 1714-1719 - [c127]Ming Zhang, Shixing Liu, Yifan Wang:
STR-SA: Session-based Thread Recommendation for Online Course Forum with Self-Attention. EDUCON 2020: 374-381 - [c126]Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang:
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation. ICLR 2020 - [c125]Chence Shi, Minkai Xu, Hongyu Guo, Ming Zhang, Jian Tang:
A Graph to Graphs Framework for Retrosynthesis Prediction. ICML 2020: 8818-8827 - [c124]Baoming Yan, Chen Zhou, Bo Zhao, Kan Guo, Jiang Yang, Xiaobo Li, Ming Zhang, Yizhou Wang:
Augmented Bi-path Network for Few-shot Learning. ICPR 2020: 8461-8468 - [c123]Jiafa He, Chengwei Pan, Can Yang, Ming Zhang, Yang Wang, Xiaowei Zhou, Yizhou Yu:
Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction. MICCAI (6) 2020: 24-34 - [c122]Nitin Kamra, Hao Zhu, Dweep Trivedi, Ming Zhang, Yan Liu:
Multi-agent Trajectory Prediction with Fuzzy Query Attention. NeurIPS 2020 - [i33]Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang:
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation. CoRR abs/2001.09382 (2020) - [i32]Chence Shi, Minkai Xu, Hongyu Guo, Ming Zhang, Jian Tang:
A Graph to Graphs Framework for Retrosynthesis Prediction. CoRR abs/2003.12725 (2020) - [i31]Luchen Liu, Zequn Liu, Haoxian Wu, Zichang Wang, Jianhao Shen, Yiping Song, Ming Zhang:
Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases. CoRR abs/2004.05318 (2020) - [i30]Zequn Liu, Ruiyi Zhang, Yiping Song, Ming Zhang:
When does MAML Work the Best? An Empirical Study on Model-Agnostic Meta-Learning in NLP Applications. CoRR abs/2005.11700 (2020) - [i29]Baoming Yan, Chen Zhou, Bo Zhao, Kan Guo, Jiang Yang, Xiaobo Li, Ming Zhang, Yizhou Wang:
Augmented Bi-path Network for Few-shot Learning. CoRR abs/2007.07614 (2020) - [i28]Yicheng Wu, Chengwei Pan, Shuqi Wang, Ming Zhang, Yong Xia, Yizhou Yu:
Rethinking the Extraction and Interaction of Multi-Scale Features for Vessel Segmentation. CoRR abs/2010.04428 (2020) - [i27]Nitin Kamra, Hao Zhu, Dweep Trivedi, Ming Zhang, Yan Liu:
Multi-agent Trajectory Prediction with Fuzzy Query Attention. CoRR abs/2010.15891 (2020) - [i26]Jiafa He, Chengwei Pan, Can Yang, Ming Zhang, Yang Wang, Xiaowei Zhou, Yizhou Yu:
Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction. CoRR abs/2012.07262 (2020)
2010 – 2019
- 2019
- [j17]Ming Zhang, Stephen Cooper, Andrew Luxton-Reilly:
Report on the First ACM Global Computing Education Conference (CompEd). ACM SIGCSE Bull. 51(3): 4-6 (2019) - [j16]Karishma Sharma, Feng Qian, He Jiang, Natali Ruchansky, Ming Zhang, Yan Liu:
Combating Fake News: A Survey on Identification and Mitigation Techniques. ACM Trans. Intell. Syst. Technol. 10(3): 21:1-21:42 (2019) - [j15]Ming Zhang, Jile Zhu, Zhuo Wang, Yunfan Chen:
Providing personalized learning guidance in MOOCs by multi-source data analysis. World Wide Web 22(3): 1189-1219 (2019) - [c121]Ming Zhang, Yichun Yin:
More Chinese women needed to hold up half the computing sky. ACM TUR-C 2019: 69:1-69:4 - [c120]Luchen Liu, Haoran Li, Zhiting Hu, Haoran Shi, Zichang Wang, Jian Tang, Ming Zhang:
Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction. AMIA 2019 - [c119]Zichang Wang, Haoran Li, Luchen Liu, Haoxian Wu, Ming Zhang:
Predictive Multi-level Patient Representations from Electronic Health Records. BIBM 2019: 987-990 - [c118]Weiping Song, Chence Shi, Zhiping Xiao, Zhijian Duan, Yewen Xu, Ming Zhang, Jian Tang:
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks. CIKM 2019: 1161-1170 - [c117]Luchen Liu, Haoxian Wu, Zichang Wang, Zequn Liu, Ming Zhang:
Early Prediction of Sepsis From Clinical Data via Heterogeneous Event Aggregation. CinC 2019: 1-4 - [c116]Jingyu Liu, Gangming Zhao, Yu Fei, Ming Zhang, Yizhou Wang, Yizhou Yu:
Align, Attend and Locate: Chest X-Ray Diagnosis via Contrast Induced Attention Network With Limited Supervision. ICCV 2019: 10631-10640 - [c115]Alison Clear, Allen S. Parrish, John Impagliazzo, Ming Zhang:
Computing Curricula 2020: Introduction and Community Engagement. SIGCSE 2019: 653-654 - [c114]Alison Clear, John Impagliazzo, Ming Zhang:
Computing Competencies and the CC2020 Project. SIGCSE 2019: 1245-1246 - [c113]Weiping Song, Zhiping Xiao, Yifan Wang, Laurent Charlin, Ming Zhang, Jian Tang:
Session-Based Social Recommendation via Dynamic Graph Attention Networks. WSDM 2019: 555-563 - [e1]Ming Zhang, Bo Yang, Steve Cooper, Andrew Luxton-Reilly:
Proceedings of the ACM Conference on Global Computing Education, CompEd 2019, Chengdu,Sichuan, China, May 17-19, 2019. ACM 2019, ISBN 978-1-4503-6259-7 [contents] - [i25]Karishma Sharma, Feng Qian, He Jiang, Natali Ruchansky, Ming Zhang, Yan Liu:
Combating Fake News: A Survey on Identification and Mitigation Techniques. CoRR abs/1901.06437 (2019) - [i24]Weiping Song, Zhiping Xiao, Yifan Wang, Laurent Charlin, Ming Zhang, Jian Tang:
Session-based Social Recommendation via Dynamic Graph Attention Networks. CoRR abs/1902.09362 (2019) - [i23]Luchen Liu, Haoran Li, Zhiting Hu, Haoran Shi, Zichang Wang, Jian Tang, Ming Zhang:
Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction. CoRR abs/1903.08652 (2019) - [i22]Weiping Song, Zhijian Duan, Ziqing Yang, Hao Zhu, Ming Zhang, Jian Tang:
Explainable Knowledge Graph-based Recommendation via Deep Reinforcement Learning. CoRR abs/1906.09506 (2019) - [i21]Mengdi Zhu, Zheye Deng, Wenhan Xiong, Mo Yu, Ming Zhang, William Yang Wang:
Towards Open-Domain Named Entity Recognition via Neural Correction Models. CoRR abs/1909.06058 (2019) - [i20]Luchen Liu, Haoxian Wu, Zichang Wang, Zequn Liu, Ming Zhang:
Early Prediction of Sepsis From Clinical Datavia Heterogeneous Event Aggregation. CoRR abs/1910.06792 (2019) - [i19]Yiping Song, Zequn Liu, Wei Bi, Rui Yan, Ming Zhang:
Learning to Customize Language Model for Generation-based dialog systems. CoRR abs/1910.14326 (2019) - [i18]Yichun Yin, Chenguang Wang, Ming Zhang:
PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction. CoRR abs/1911.03785 (2019) - [i17]Zichang Wang, Haoran Li, Luchen Liu, Haoxian Wu, Ming Zhang:
Predictive Multi-level Patient Representations from Electronic Health Records. CoRR abs/1911.05698 (2019) - [i16]Yikai Zhu, Jianhao Shen, Ming Zhang:
Learning to Answer Ambiguous Questions with Knowledge Graph. CoRR abs/1912.11668 (2019) - 2018
- [j14]Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, Jiawei Han:
Unsupervised meta-path selection for text similarity measure based on heterogeneous information networks. Data Min. Knowl. Discov. 32(6): 1735-1767 (2018) - [j13]John Impagliazzo, Ming Zhang, Xi Wu:
SIGCSE launches new conference on a global scale. ACM SIGCSE Bull. 50(4): 2-3 (2018) - [c112]Luchen Liu, Jianhao Shen, Ming Zhang, Zichang Wang, Jian Tang:
Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction. AAAI 2018: 109-116 - [c111]Yiping Song, Rui Yan, Yansong Feng, Yaoyuan Zhang, Dongyan Zhao, Ming Zhang:
Towards a Neural Conversation Model With Diversity Net Using Determinantal Point Processes. AAAI 2018: 5932-5939 - [c110]Pengtao Xie, Haoran Shi, Ming Zhang, Eric P. Xing:
A Neural Architecture for Automated ICD Coding. ACL (1) 2018: 1066-1076 - [c109]Xiang Li, Ming Zhang:
Emotion Analysis for the Upcoming Response in Open-Domain Human-Computer Conversation. APWeb/WAIM Workshops 2018: 352-367 - [c108]Yiping Song, Cheng-Te Li, Jian-Yun Nie, Ming Zhang, Dongyan Zhao, Rui Yan:
An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems. IJCAI 2018: 4382-4388 - [c107]Mihaela Sabin, John Impagliazzo, Hala Alrumaih, Cara Tang, Ming Zhang:
IT2017 Report: Implementing A Competency-Based Information Technology Program. SIGCSE 2018: 1045-1046 - [c106]Barbara Boucher Owens, Alison Clear, John Impagliazzo, Mirella M. Moro, Ming Zhang:
Global Awareness for Computing Educators and Scholars: (Abstract Only). SIGCSE 2018: 1069 - [i15]Luchen Liu, Jianhao Shen, Ming Zhang, Zichang Wang, Jian Tang:
Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction. CoRR abs/1803.04837 (2018) - [i14]Weiping Song, Chence Shi, Zhiping Xiao, Zhijian Duan, Yewen Xu, Ming Zhang, Jian Tang:
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks. CoRR abs/1810.11921 (2018) - 2017
- [c105]Ming Zhang, Jile Zhu:
A data-driven analysis of student efforts and improvements on a SPOC experiment. ACM TUR-C 2017: 1:1-1:6 - [c104]Yunfan Chen, Ming Zhang:
MOOC student dropout: pattern and prevention. ACM TUR-C 2017: 4:1-4:6 - [c103]Yao Guo, Junlin Lu, Yifeng Chen, Ming Zhang, Wenxin Li:
Hybrid small class teaching: dividing and conquering large computer systems classes. ACM TUR-C 2017: 5:1-5:6 - [c102]Xiang Li, Rui Yan, Ming Zhang:
Joint Emoji Classification and Embedding Learning. APWeb/WAIM (2) 2017: 48-63 - [c101]Feng Qian, ChengYue Gong, Luchen Liu, Lei Sha, Ming Zhang:
Topic medical concept embedding: Multi-sense representation learning for medical concept. BIBM 2017: 404-409 - [c100]Chenguang Wang, Yangqiu Song, Haoran Li, Yizhou Sun, Ming Zhang, Jiawei Han:
Distant Meta-Path Similarities for Text-Based Heterogeneous Information Networks. CIKM 2017: 1629-1638 - [c99]Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han:
An Attention-based Collaboration Framework for Multi-View Network Representation Learning. CIKM 2017: 1767-1776 - [c98]Jile Zhu, Xiang Li, Zhuo Wang, Ming Zhang:
An Effective Framework for Automatically Generating and Ranking Topics in MOOC Videos. EDM 2017 - [c97]Feng Qian, Lei Sha, Baobao Chang, Luchen Liu, Ming Zhang:
Syntax Aware LSTM model for Semantic Role Labeling. SPNLP@EMNLP 2017: 27-32 - [c96]Yichun Yin, Yangqiu Song, Ming Zhang:
Document-Level Multi-Aspect Sentiment Classification as Machine Comprehension. EMNLP 2017: 2044-2054 - [c95]He Jiang, Yangqiu Song, Chenguang Wang, Ming Zhang, Yizhou Sun:
Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks. IJCAI 2017: 1944-1950 - [c94]Ziqian Zeng, Yichun Yin, Yangqiu Song, Ming Zhang:
Socialized Word Embeddings. IJCAI 2017: 3915-3921 - [c93]Yiping Song, Zhiliang Tian, Dongyan Zhao, Ming Zhang, Rui Yan:
Diversifying Neural Conversation Model with Maximal Marginal Relevance. IJCNLP(2) 2017: 169-174 - [c92]Yichun Yin, Yangqiu Song, Ming Zhang:
NNEMBs at SemEval-2017 Task 4: Neural Twitter Sentiment Classification: a Simple Ensemble Method with Different Embeddings. SemEval@ACL 2017: 621-625 - [c91]Alison Clear, Allen Parrish, Ming Zhang, Gerrit C. van der Veer:
CC2020: A Vision on Computing Curricula. SIGCSE 2017: 647-648 - [c90]Mihaela Sabin, Svetlana Peltsverger, Bill Paterson, Ming Zhang, Hala Alrumaih:
IT2017 Report: Putting It to Work. SIGITE 2017: 95-96 - [i13]Feng Qian, Lei Sha, Baobao Chang, Luchen Liu, Ming Zhang:
Syntax Aware LSTM Model for Chinese Semantic Role Labeling. CoRR abs/1704.00405 (2017) - [i12]Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han:
An Attention-based Collaboration Framework for Multi-View Network Representation Learning. CoRR abs/1709.06636 (2017) - [i11]Haoran Shi, Pengtao Xie, Zhiting Hu, Ming Zhang, Eric P. Xing:
Towards Automated ICD Coding Using Deep Learning. CoRR abs/1711.04075 (2017) - 2016
- [j12]John Impagliazzo, Yan Timanovsky, Ming Zhang:
EduBits. Inroads 7(1): 14-16 (2016) - [j11]Chenguang Wang, Yangqiu Song, Dan Roth, Ming Zhang, Jiawei Han:
World Knowledge as Indirect Supervision for Document Clustering. ACM Trans. Knowl. Discov. Data 11(2): 13:1-13:36 (2016) - [c89]Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, Jiawei Han:
Text Classification with Heterogeneous Information Network Kernels. AAAI 2016: 2130-2136 - [c88]Rui Yan, Cheng-Te Li, Xiaohua Hu, Ming Zhang:
Chinese Couplet Generation with Neural Network Structures. ACL (1) 2016 - [c87]Xiang Li, Lili Mou, Rui Yan, Ming Zhang:
StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation. IJCAI 2016: 2845-2851 - [c86]Yichun Yin, Furu Wei, Li Dong, Kaimeng Xu, Ming Zhang, Ming Zhou:
Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction. IJCAI 2016: 2979-2985 - [c85]Yiping Song, Lili Mou, Rui Yan, Li Yi, Zinan Zhu, Xiaohua Hu, Ming Zhang:
Dialogue Session Segmentation by Embedding-Enhanced TextTiling. INTERSPEECH 2016: 2706-2710 - [c84]Chris Johnson, Monica McGill, Durell Bouchard, Michael K. Bradshaw, Víctor A. Bucheli, Laurence D. Merkle, Michael James Scott, Elizabeth Sweedyk, Jesus Ángel Velázquez-Iturbide, Zhiping Xiao, Ming Zhang:
Game Development for Computer Science Education. ITiCSE-WGR 2016: 23-44 - [c83]Cara Tang, Elizabeth K. Hawthorne, Cindy S. Tucker, Ernesto Cuadros-Vargas, Diana Cukierman, Simon, Ming Zhang:
Global Perspectives on the Role of Two-Year/Technical/Junior Colleges in Computing Education. ITiCSE 2016: 204-205 - [c82]Zhuo Wang, Jile Zhu, Xiang Li, Zhiting Hu, Ming Zhang:
Structured Knowledge Tracing Models for Student Assessment on Coursera. L@S 2016: 209-212 - [c81]Chenguang Wang, Yizhou Sun, Yanglei Song, Jiawei Han, Yangqiu Song, Lidan Wang, Ming Zhang:
RelSim: Relation Similarity Search in Schema-Rich Heterogeneous Information Networks. SDM 2016: 621-629 - [c80]Jian Tang, Jingzhou Liu, Ming Zhang, Qiaozhu Mei:
Visualizing Large-scale and High-dimensional Data. WWW 2016: 287-297 - [i10]Jian Tang, Jingzhou Liu, Ming Zhang, Qiaozhu Mei:
Visualization Large-scale and High-dimensional Data. CoRR abs/1602.00370 (2016) - [i9]Xiang Li, Lili Mou, Rui Yan, Ming Zhang:
StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation. CoRR abs/1604.04358 (2016) - [i8]Yichun Yin, Furu Wei, Li Dong, Kaimeng Xu, Ming Zhang, Ming Zhou:
Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction. CoRR abs/1605.07843 (2016) - [i7]Chenguang Wang, Yangqiu Song, Dan Roth, Ming Zhang, Jiawei Han:
World Knowledge as Indirect Supervision for Document Clustering. CoRR abs/1608.00104 (2016) - [i6]Yiping Song, Lili Mou, Rui Yan, Li Yi, Zinan Zhu, Xiaohua Hu, Ming Zhang:
Dialogue Session Segmentation by Embedding-Enhanced TextTiling. CoRR abs/1610.03955 (2016) - [i5]Yiping Song, Rui Yan, Xiang Li, Dongyan Zhao, Ming Zhang:
Two are Better than One: An Ensemble of Retrieval- and Generation-Based Dialog Systems. CoRR abs/1610.07149 (2016) - [i4]Jian Tang, Yifan Yang, Samuel Carton, Ming Zhang, Qiaozhu Mei:
Context-aware Natural Language Generation with Recurrent Neural Networks. CoRR abs/1611.09900 (2016) - [i3]Jian Tang, Ming Zhang, Qiaozhu Mei:
Less is More: Learning Prominent and Diverse Topics for Data Summarization. CoRR abs/1611.09921 (2016) - 2015
- [c79]Yangqiu Song, Chenguang Wang, Ming Zhang, Hailong Sun, Qiang Yang:
Spectral Label Refinement for Noisy and Missing Text Labels. AAAI 2015: 2972-2978 - [c78]Ziqi Wang, Ming Zhang:
Feedback Model for Microblog Retrieval. DASFAA (1) 2015: 529-544 - [c77]Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, Jiawei Han:
KnowSim: A Document Similarity Measure on Structured Heterogeneous Information Networks. ICDM 2015: 1015-1020 - [c76]Xiaosong Rong, Zhuo Wang, Ziqi Wang, Ming Zhang:
Classifying Stances of Interaction Posts in Social Media Debate Sites. ICIC (2) 2015: 259-269 - [c75]Rui Yan, Yiping Song, Cheng-Te Li, Ming Zhang, Xiaohua Hu:
Opportunities or Risks to Reduce Labor in Crowdsourcing Translation? Characterizing Cost versus Quality via a PageRank-HITS Hybrid Model. IJCAI 2015: 1025-1032 - [c74]Chenguang Wang, Yangqiu Song, Dan Roth, Chi Wang, Jiawei Han, Heng Ji, Ming Zhang:
Constrained Information-Theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations. IJCAI 2015: 3882-3889 - [c73]Mihaela Sabin, John Impagliazzo, Hala Alrumaih, Brenda Byers, Daina Gudoniene, Margaret Hamilton, Vsevolod Kotlyarov, Barry M. Lunt, James W. McGuffee, Svetlana Peltsverger, Cara Tang, Barbara Viola, Ming Zhang:
Multinational Perspectives on Information Technology from Academia and Industry. ITiCSE-WGR 2015: 149-171 - [c72]Chenguang Wang, Yangqiu Song, Ahmed El-Kishky, Dan Roth, Ming Zhang, Jiawei Han:
Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks. KDD 2015: 1215-1224 - [c71]Ming Zhang, Jile Zhu, Yanzhen Zou, Hongfei Yan, Dan Hao, Chuxiong Liu:
Educational Evaluation in the PKU SPOC Course "Data Structures and Algorithms". L@S 2015: 237-240 - [c70]Mihaela Sabin, Hala Alrumaih, John Impagliazzo, Barry M. Lunt, Cara Tang, Ming Zhang:
ACM/IEEE-CS Information Technology Curriculum 2017: A Status Update. SIGITE 2015: 75-76 - [c69]Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, Qiaozhu Mei:
LINE: Large-scale Information Network Embedding. WWW 2015: 1067-1077 - [i2]Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, Qiaozhu Mei:
LINE: Large-scale Information Network Embedding. CoRR abs/1503.03578 (2015) - 2014
- [j10]Ming Zhang, Long Zhang:
Undergraduate IT education in China. Inroads 5(3): 49-55 (2014) - [j9]Ziqi Wang, Gu Xu, Hang Li, Ming Zhang:
A Probabilistic Approach to String Transformation. IEEE Trans. Knowl. Data Eng. 26(5): 1063-1075 (2014) - [c68]Fangtao Li, Sheng Wang, Shenghua Liu, Ming Zhang:
SUIT: A Supervised User-Item Based Topic Model for Sentiment Analysis. AAAI 2014: 1636-1642 - [c67]Jian Tang, Zhaoshi Meng, XuanLong Nguyen, Qiaozhu Mei, Ming Zhang:
Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis. ICML 2014: 190-198 - [c66]Mingmin Zhao, Ruipeng Gao, Jiaxu Zhu, Tao Ye, Fan Ye, Yizhou Wang, Kaigui Bian, Guojie Luo, Ming Zhang:
VeLoc: finding your car in the parking lot. SenSys 2014: 346-347 - [c65]Ming Zhang, Bo Li, Ginnie Lo:
China's perspective from the viewpoint of computational thinking on CS1 for non-majors (abstract only). SIGCSE 2014: 730 - [i1]Jian Tang, Ming Zhang, Qiaozhu Mei:
"Look Ma, No Hands!" A Parameter-Free Topic Model. CoRR abs/1409.2993 (2014) - 2013
- [j8]Fei Yan, Shaowei Cai, Ming Zhang, Guojun Liu, Zhi-Hong Deng:
A clique-superposition model for social networks. Sci. China Inf. Sci. 56(5): 1-19 (2013) - [j7]Tao Sun, Ming Zhang, Fei Yan, Zhi-Hong Deng:
Personalized search in digital libraries via spreading activation model. Web Intell. Agent Syst. 11(2): 137-147 (2013) - [c64]Sheng Wang, Fangtao Li, Ming Zhang:
Supervised Topic Model with Consideration of User and Item. AAAI (Late-Breaking Developments) 2013 - [c63]Chenguang Wang, Nan Duan, Ming Zhou, Ming Zhang:
Paraphrasing Adaptation for Web Search Ranking. ACL (2) 2013: 41-46 - [c62]Dakui Sheng, Tao Sun, Sheng Wang, Ziqi Wang, Ming Zhang:
Measuring Strength of Ties in Social Network. APWeb 2013: 292-300 - [c61]Peng Li, Xiaohua Hu, Tingting He, Junmin Zhao, Ming Zhang, Xianjun Shen:
Mining protein complexes based on connected affinity clique extension. BIBM 2013: 53-56 - [c60]Junmin Zhao, Xiaohua Hu, Tingting He, Peng Li, Ming Zhang, Xianjun Shen:
A novel protein complex identification algorithm based on gene co-expression (PCIA-GeCo). BIBM 2013: 386-391 - [c59]Ming Zhang, Tingting He, Fang Li, Li Peng:
Incorporating Hierarchical Dirichlet Process into Tag Topic Model. CLSW 2013: 368-377 - [c58]Tao Sun, Ming Zhang, Qiaozhu Mei:
Unexpected Relevance: An Empirical Study of Serendipity in Retweets. ICWSM 2013 - [c57]Jian Tang, Ming Zhang, Qiaozhu Mei:
One theme in all views: modeling consensus topics in multiple contexts. KDD 2013: 5-13 - [c56]Bill Paterson, Mary J. Granger, John Impagliazzo, Edward Sobiesk, Mark Stockman, Ming Zhang:
Should IT2008 be revised? SIGITE Conference 2013: 53-54 - 2012
- [c55]Lei Zhang, Jian Tang, Ming Zhang:
Integrating Temporal Usage Pattern into Personalized Tag Prediction. APWeb 2012: 354-365 - [c54]Sheng Wang, Xiaobo Zhou, Ziqi Wang, Ming Zhang:
Please spread: recommending tweets for retweeting with implicit feedback. DUBMMSM 2012: 19-22 - [c53]Lei Yang, Tao Sun, Ming Zhang, Qiaozhu Mei:
We know what @you #tag: does the dual role affect hashtag adoption? WWW 2012: 261-270 - 2011
- [j6]Bolanle Adefowoke Ojokoh, Ming Zhang, Jian Tang:
A trigram hidden Markov model for metadata extraction from heterogeneous references. Inf. Sci. 181(9): 1538-1551 (2011) - [c52]Jian Tang, Jun Yan, Lei Ji, Ming Zhang, Shaodan Guo, Ning Liu, Xianfang Wang, Zheng Chen:
Collaborative Users' Brand Preference Mining across Multiple Domains from Implicit Feedbacks. AAAI 2011: 477-482 - [c51]Ziqi Wang, Gu Xu, Hang Li, Ming Zhang:
A Fast and Accurate Method for Approximate String Search. ACL 2011: 52-61 - [c50]Xiaolong Wang, Ming Zhang:
Let Other Users Help You Find Answers: A Collaborative Question-Answering Method with Continuous Markov Chain Model. APWeb 2011: 264-270 - [c49]Fei Yan, Ming Zhang, Guojun Liu, Wenqing Wang, Zhi-Hong Deng:
Evolution of Social Networks: New Patterns and a New Generator. C5 2011: 3-10 - [c48]Ziqi Wang, Ming Zhang, Yuwei Tan, Wenqing Wang, Yuexiang Zhang, Ling Chen:
Recommendation Algorithm Based on Graph-Model Considering User Background Information. C5 2011: 32-39 - [c47]Minghai Liu, Rui Cai, Ming Zhang, Lei Zhang:
User browsing behavior-driven web crawling. CIKM 2011: 87-92 - [c46]Jian Tang, Ning Liu, Jun Yan, Yelong Shen, Shaodan Guo, Bin Gao, Shuicheng Yan, Ming Zhang:
Learning to rank audience for behavioral targeting in display ads. CIKM 2011: 605-610 - [c45]Xiaolong Wang, Furu Wei, Xiaohua Liu, Ming Zhou, Ming Zhang:
Topic sentiment analysis in twitter: a graph-based hashtag sentiment classification approach. CIKM 2011: 1031-1040 - [c44]Ming Zhang, Sheng Feng, Jian Tang, Bolanle Adefowoke Ojokoh, Guojun Liu:
Co-Ranking Multiple Entities in a Heterogeneous Network: Integrating Temporal Factor and Users' Bookmarks. ICADL 2011: 202-211 - [c43]Tao Sun, Wei Chen, Zhenming Liu, Yajun Wang, Xiaorui Sun, Ming Zhang, Chin-Yew Lin:
Participation Maximization Based on Social Influence in Online Discussion Forums. ICWSM 2011 - 2010
- [c42]Ziqi Wang, Yuwei Tan, Ming Zhang:
Graph-Based Recommendation on Social Networks. APWeb 2010: 116-122 - [c41]Yajie Hu, Ziqi Wang, Wei Wu, Jianzhong Guo, Ming Zhang:
Recommendation for Movies and Stars Using YAGO and IMDB. APWeb 2010: 123-129 - [c40]Sheng Feng, Ming Zhang, Yanxing Zhang, Zhi-Hong Deng:
Recommended or Not Recommended? Review Classification through Opinion Extraction. APWeb 2010: 350-352 - [c39]Hang Yu, Zhi-Hong Deng, Yong-Qing Xiang, Ning Gao, Ming Zhang, Shiwei Tang:
Adaptive Top-k Algorithm in SLCA-Based XML Keyword Search. APWeb 2010: 364-366 - [c38]Baoyao Zhou, Ming Zhang:
Building Web Page Logical Structure Model towards Effective Metadata Extraction. APWeb 2010: 401 - [c37]Guojun Liu, Ming Zhang, Fei Yan:
Large-Scale Social Network Analysis Based on MapReduce. CASoN 2010: 487-490 - [c36]Fei Yan, Xiaolong Wang, Ming Zhang, Zhi-Hong Deng:
Analysis of the structure and evolution of the co-borrowing network in Peking University library. FSKD 2010: 2751-2755 - [c35]Zeyu Zheng, Jun Yan, Shuicheng Yan, Ning Liu, Zheng Chen, Ming Zhang:
A Novel Contrast Co-learning Framework for Generating High Quality Training Data. ICDM 2010: 649-658 - [c34]Ming Zhang, Virginia Mary Lo:
Undergraduate computer science education in China. SIGCSE 2010: 396-400 - [c33]Fei Yan, Ming Zhang, Jian Tang, Tao Sun, Zhi-Hong Deng, Long Xiao:
Users' Book-Loan Behaviors Analysis and Knowledge Dependency Mining. WAIM 2010: 206-217
2000 – 2009
- 2009
- [j5]Qinglin Guo, Ming Zhang:
Semantic information integration and question answering based on pervasive agent ontology. Expert Syst. Appl. 36(6): 10068-10077 (2009) - [j4]Qinglin Guo, Ming Zhang:
A novel approach for multi-agent-based Intelligent Manufacturing System. Inf. Sci. 179(18): 3079-3090 (2009) - [j3]Qinglin Guo, Ming Zhang:
Implement web learning environment based on data mining. Knowl. Based Syst. 22(6): 439-442 (2009) - [j2]Qinglin Guo, Ming Zhang:
Question answering based on pervasive agent ontology and Semantic Web. Knowl. Based Syst. 22(6): 443-448 (2009) - [j1]Qinglin Guo, Ming Zhang:
Multi-documents Automatic Abstracting based on text clustering and semantic analysis. Knowl. Based Syst. 22(6): 482-485 (2009) - [c32]Fei Yan, Ming Zhang, Tao Sun, Yang Lu, Naiyue Zhang, Long Xiao:
Analyzing user's book-loan behaviors in Peking university library from social network perspective. JCDL 2009: 461-462 - 2008
- [c31]Ming Zhang, Weichun Wang, Xiaoming Li:
A Paper Recommender for Scientific Literatures Based on Semantic Concept Similarity. ICADL 2008: 359-362 - [c30]Qinglin Guo, Ming Zhang:
Implement Web Learning System Based on Genetic Algorithm and Pervasive Agent Ontology. ICIC (2) 2008: 259-266 - [c29]Qinglin Guo, Ming Zhang:
Research on Intelligent Manufacturing System Based on Multi-Agent. ICIRA (2) 2008: 829-838 - [c28]Qinglin Guo, Ming Zhang:
A novel approach for fault diagnosis of steam turbine based on neural network and genetic algorithm. IJCNN 2008: 25-29 - [c27]Ming Zhang, Chenglong Gong, Yuan Feng, Chao Liu:
Energy-Predicted Shortest Routing Tree Algorithm in Wireless Sensor Networks. ISICA 2008: 117-124 - [c26]Haoyuan Li, Yi Wang, Dong Zhang, Ming Zhang, Edward Y. Chang:
Pfp: parallel fp-growth for query recommendation. RecSys 2008: 107-114 - [c25]Qinglin Guo, Ming Zhang:
Question Answering System Based on Ontology and Semantic Web. RSKT 2008: 652-659 - [c24]Fei Yan, Jing Jiang, Yang Lu, Qingjun Luo, Ming Zhang:
Community Discovery Based on Social Actors' Interests and Social Relationships. SKG 2008: 79-86 - 2007
- [c23]Ping Yin, Ming Zhang, Xiaoming Li:
Recommending Scientific Literatures in a Collaborative Tagging Environment. ICADL 2007: 478-481 - [c22]Xiaofeng Du, William Song, Ming Zhang:
A Context-Based Framework and Method for Learning Object Description and Search. ICWL 2007: 114-125 - [c21]Ming Zhang, Weichun Wang, Yi Zhou, Yu Yang, Yuhong Xiong, Xiaoming Li:
On Line Course Organization. ICWL 2007: 148-159 - 2006
- [c20]Aiqiang Gao, Dongqing Yang, Shiwei Tang, Ming Zhang:
QoS-Driven Web Service Composition with Inter Service Conflicts. APWeb 2006: 121-132 - [c19]Aiqiang Gao, Dongqing Yang, Shiwei Tang, Ming Zhang:
Mining Models of Composite Web Services for Performance Analysis. DASFAA 2006: 828-837 - 2005
- [c18]Zhi-Hong Deng, Ming Zhang:
Improving Text Categorization Using the Importance of Words in Different Categories. CIS (1) 2005: 458-463 - [c17]Peixiang Zhao, Ming Zhang, Dongqing Yang, Shiwei Tang:
Finding Hidden Semantics Behind Reference Linkages : An Ontological Approach for Scientific Digital Libraries. DASFAA 2005: 699-710 - [c16]Zhi-Hong Deng, Shi-Wei Tang, Ming Zhang:
An Efficient Text Categorization Algorithm Based on Category Memberships. FSKD (1) 2005: 374-382 - [c15]Kewei Wei, Ming Zhang, Yaping Zhu:
A Semantic Metadata Catalog Service for Grid. GCC 2005: 136-142 - [c14]Yaping Zhu, Ming Zhang, Kewei Wei, Dongqing Yang:
GMA-PSMH: A Semantic Metadata Publish-Harvest Protocol for Dynamic Metadata Management Under Grid Environment. ICADL 2005: 446-456 - [c13]Aiqiang Gao, Dongqing Yang, Shiwei Tang, Ming Zhang:
Web Service Composition Using Integer Programming-based Models. ICEBE 2005: 603-606 - [c12]Zhi-Hong Deng, Cong-Rui Ji, Ming Zhang, Shi-Wei Tang:
Mining Frequent Ordered Patterns. PAKDD 2005: 150-154 - [c11]Ming Zhang, Zhi-Hong Deng, Shukai Ding, Dongqing Yang:
DLOnto: A Semantic Information Model for Digital Libraries. SKG 2005: 16 - [c10]Aiqiang Gao, Dongqing Yang, Shiwei Tang, Ming Zhang:
Web Service Composition Using Markov Decision Processes. WAIM 2005: 308-319 - 2004
- [c9]Zhi-Hong Deng, Shiwei Tang, Dongqing Yang, Ming Zhang, Liyu Li, Kunqing Xie:
A Comparative Study on Feature Weight in Text Categorization. APWeb 2004: 588-597 - [c8]Ming Zhang, Dongqing Yang, Zhi-Hong Deng, Sai Wu, Feng Li, Shiwei Tang:
WebGIS-RBDL - A Rare Book Digital Library Supporting Spatio-Temporary Retrieval. ICADL 2004: 255-265 - [c7]Ping Yin, Ming Zhang, Zhi-Hong Deng, Dongqing Yang:
Metadata Extraction from Bibliographies Using Bigram HMM. ICADL 2004: 310-319 - [c6]Peixiang Zhao, Ming Zhang, Dongqing Yang, Shiwei Tang:
Understanding the Semantics in Reference Linkages: An Ontological Approach for Scientific Digital Libraries. ICADL 2004: 652 - [c5]Ming Zhang, Dongqing Yang, Zhi-Hong Deng, Ying Feng, Wenqing Wang, Peixiang Zhao, Sai Wu, Shu-an Wang, Shi-Wei Tang:
PKUSpace: A Collaborative Platform for Scientific Researching. ICWL 2004: 120-127 - 2003
- [c4]Chao Liu, Ming Zhang, Minrui Zheng, Yixin Chen:
Step-by-Step Regression: A More Efficient Alternative for Polynomial Multiple Linear Regression in Stream Cube. PAKDD 2003: 437-448 - 2002
- [c3]Zhi-Hong Deng, Shi-Wei Tang, Dongqing Yang, Ming Zhang, Xiao-Bin Wu, Meng Yang:
A Linear Text Classification Algorithm Based on Category Relevance Factors. ICADL 2002: 88-98 - [c2]Ai-hua Wang, Ming Zhang, Dongqing Yang, Shi-Wei Tang:
Exploring Spatial-Temporal Information in Digital Library. NDDL 2002: 93-103 - [c1]Zhi-Hong Deng, Shi-Wei Tang, Dongqing Yang, Ming Zhang, Xiao-Bin Wu, Meng Yang:
Two Odds-Radio-Based Text Classification Algorithms. WISE Workshops 2002: 223-231
Coauthor Index
[j41] [j40] [c176] [c175] [c173] [c171] [i92] [i89] [j39] [j36] [j35] [j34] [j33] [j31] [j30] [j29] [j28] [j27] [j26] [j25] [c169] [c167] [c166] [c163] [c162] [c160] [i88] [i86] [i85] [i84] [i82] [i81] [i78] [i77] [i76] [i74] [i71] [i70] [i69] [i68] [i67] [i66] [i64] [j24] [j23] [j22] [j21] [j20] [c159] [c156] [c154] [c153] [c152] [c151] [c149] [i63] [i62] [i61] [i60] [i59] [i56] [i55] [i54] [i53] [i52] [i51] [i50] [i49] [i47] [j18] [c148] [c143] [c142] [c141] [c140] [c135] [i44] [i42] [i40] [i38]
[j40] [c173] [c172] [c171] [i90] [i89] [j39] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [j25] [c167] [c166] [c163] [c160] [i88] [i86] [i85] [i82] [i81] [i78] [i77] [i74] [i71] [i70] [i69] [i67] [i65] [j24] [j23] [j22] [j21] [j20] [c159] [c156] [c154] [c153] [c152] [c151] [i62] [i61] [i60] [i59] [i56] [i55] [i54] [i53] [i51] [i50] [i49] [i47] [j18] [c143] [c142] [c140] [i42] [i40]
Shiwei Tang
aka: Shi-Wei Tang
aka: Shi-Wei Tang
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