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- affiliation: University of Oregon, Eugene, USA
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2020 – today
- 2022
[j37]Jiang Bian, Abdullah Al Arafat
, Haoyi Xiong, Jing Li, Li Li, Hongyang Chen, Jun Wang, Dejing Dou, Zhishan Guo:
Machine Learning in Real-Time Internet of Things (IoT) Systems: A Survey. IEEE Internet Things J. 9(11): 8364-8386 (2022)- [j36]Ji Liu, Jizhou Huang, Yang Zhou, Xuhong Li, Shilei Ji, Haoyi Xiong, Dejing Dou:
From distributed machine learning to federated learning: a survey. Knowl. Inf. Syst. 64(4): 885-917 (2022) - [j35]Haoran Liu, Haoyi Xiong, Yaqing Wang, Haozhe An, Dejing Dou, Dongrui Wu:
Exploring the common principal subspace of deep features in neural networks. Mach. Learn. 111(3): 1125-1157 (2022) - [j34]Xingjian Li, Haoyi Xiong, Zeyu Chen, Jun Huan, Ji Liu, Cheng-Zhong Xu, Dejing Dou:
Knowledge Distillation with Attention for Deep Transfer Learning of Convolutional Networks. ACM Trans. Knowl. Discov. Data 16(3): 42:1-42:20 (2022) - [j33]Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Jingyi Zheng, Zhe Jiang, Da Yan, Dejing Dou:
Unsupervised Adversarial Network Alignment with Reinforcement Learning. ACM Trans. Knowl. Discov. Data 16(3): 50:1-50:29 (2022) - [j32]Hao Liu, Qingyu Guo, Hengshu Zhu, Fuzhen Zhuang, Shenwen Yang, Dejing Dou, Hui Xiong:
Who will Win the Data Science Competition? Insights from KDD Cup 2019 and Beyond. ACM Trans. Knowl. Discov. Data 16(5): 98:1-98:24 (2022) - [c135]Siyu Huang, Haoyi Xiong, Tianyang Wang, Bihan Wen, Qingzhong Wang, Zeyu Chen, Jun Huan, Dejing Dou:
Parameter-Free Style Projection for Arbitrary Image Style Transfer. ICASSP 2022: 2070-2074 - [i77]Qiuhao Lu, Thien Huu Nguyen, Dejing Dou:
Predicting Patient Readmission Risk from Medical Text via Knowledge Graph Enhanced Multiview Graph Convolution. CoRR abs/2201.02510 (2022) - [i76]Yi Gu, Hongzhi Cheng, Kafeng Wang, Dejing Dou, Chengzhong Xu, Hui Kong:
Learning Moving-Object Tracking with FMCW LiDAR. CoRR abs/2203.00959 (2022) - [i75]Andong Deng, Xingjian Li, Zhibing Li, Di Hu, Chengzhong Xu, Dejing Dou:
Inadequately Pre-trained Models are Better Feature Extractors. CoRR abs/2203.04668 (2022) - [i74]Xueying Zhan, Qingzhong Wang, Kuan-Hao Huang, Haoyi Xiong, Dejing Dou, Antoni B. Chan:
A Comparative Survey of Deep Active Learning. CoRR abs/2203.13450 (2022) - [i73]Can Chen, Jingbo Zhou, Fan Wang, Xue Liu, Dejing Dou:
Structure-aware Protein Self-supervised Learning. CoRR abs/2204.04213 (2022) - [i72]Hong Zhang, Ji Liu, Juncheng Jia, Yang Zhou, Huaiyu Dai, Dejing Dou:
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server. CoRR abs/2204.11536 (2022) - [i71]Qingzhong Wang, Haifang Li, Haoyi Xiong, Wen Wang, Jiang Bian, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Jingbo Zhou, Dawei Yin, Dejing Dou:
Practical Strategies of Active Learning to Rank for Web Search. CoRR abs/2205.10137 (2022) - [i70]Xingjian Li, Pengkun Yang, Tianyang Wang, Xueying Zhan, Min Xu, Dejing Dou, Chengzhong Xu:
Deep Active Learning with Noise Stability. CoRR abs/2205.13340 (2022) - [i69]Xiao Zhang, Dejing Dou, Ji Wu:
Feature Forgetting in Continual Representation Learning. CoRR abs/2205.13359 (2022) - [i68]Fei Wu, Qingzhong Wang, Jian Bian, Haoyi Xiong, Ning Ding, Feixiang Lu, Jun Cheng, Dejing Dou:
A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications. CoRR abs/2206.01038 (2022) - [i67]Hang Hua, Xingjian Li, Dejing Dou, Cheng-Zhong Xu, Jiebo Luo:
Fine-tuning Pre-trained Language Models with Noise Stability Regularization. CoRR abs/2206.05658 (2022) - 2021
- [j31]Xingjian Li, Dou Goodman, Ji Liu, Tao Wei, Dejing Dou:
Improving Adversarial Robustness via Attention and Adversarial Logit Pairing. Frontiers Artif. Intell. 4: 752831 (2021) - [j30]Kafeng Wang, Haoyi Xiong, Jie Zhang, Hongyang Chen, Dejing Dou, Cheng-Zhong Xu:
SenseMag: Enabling Low-Cost Traffic Monitoring Using Noninvasive Magnetic Sensing. IEEE Internet Things J. 8(22): 16666-16679 (2021) - [j29]Haiyan Jiang, Haoyi Xiong, Dongrui Wu, Ji Liu, Dejing Dou:
AgFlow: fast model selection of penalized PCA via implicit regularization effects of gradient flow. Mach. Learn. 110(8): 2131-2150 (2021) - [j28]Adam Noack, Isaac Ahern, Dejing Dou, Boyang Li:
An Empirical Study on the Relation Between Network Interpretability and Adversarial Robustness. SN Comput. Sci. 2(1): 32 (2021) - [j27]Xingjian Li, Haoyi Xiong, Zeyu Chen, Jun Huan, Cheng-Zhong Xu, Dejing Dou:
"In-Network Ensemble": Deep Ensemble Learning with Diversified Knowledge Distillation. ACM Trans. Intell. Syst. Technol. 12(5): 63:1-63:19 (2021) - [j26]Kafeng Wang, Haoyi Xiong, Jiang Bian, Zhanxing Zhu, Qian Gao, Zhishan Guo, Cheng-Zhong Xu, Jun Huan, Dejing Dou:
Sampling Sparse Representations with Randomized Measurement Langevin Dynamics. ACM Trans. Knowl. Discov. Data 15(2): 21:1-21:21 (2021) - [j25]Baoxin Zhao, Haoyi Xiong, Jiang Bian, Zhishan Guo, Cheng-Zhong Xu, Dejing Dou:
COMO: Efficient Deep Neural Networks Expansion With COnvolutional MaxOut. IEEE Trans. Multim. 23: 1722-1730 (2021) - [c134]Hao Liu, Qiyu Wu, Fuzhen Zhuang, Xinjiang Lu, Dejing Dou, Hui Xiong:
Community-Aware Multi-Task Transportation Demand Prediction. AAAI 2021: 320-327 - [c133]Dong Wang, Di Hu, Xingjian Li, Dejing Dou:
Temporal Relational Modeling with Self-Supervision for Action Segmentation. AAAI 2021: 2729-2737 - [c132]Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou:
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks. AAAI 2021: 4081-4089 - [c131]Haoran Xin, Xinjiang Lu, Tong Xu, Hao Liu, Jingjing Gu, Dejing Dou, Hui Xiong:
Out-of-Town Recommendation with Travel Intention Modeling. AAAI 2021: 4529-4536 - [c130]Congxi Xiao, Jingbo Zhou, Jizhou Huang, An Zhuo, Ji Liu, Haoyi Xiong, Dejing Dou:
C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak. AAAI 2021: 4892-4900 - [c129]Qiuhao Lu, Dejing Dou, Thien Huu Nguyen:
Textual Data Augmentation for Patient Outcomes Prediction. BIBM 2021: 2817-2821 - [c128]Chao Zhang, Jingbo Zhou, Xiaoling Zang, Qing Xu, Liang Yin, Xiang He, Lin Liu, Haoyi Xiong, Dejing Dou:
CHASE: Commonsense-Enriched Advertising on Search Engine with Explicit Knowledge. CIKM 2021: 4352-4361 - [c127]NhatHai Phan, David Kil, Brigitte Piniewski, Dejing Dou:
Social and Motivational Factors for the Spread of Physical Activities in a Health Social Network. CSoNet 2021: 184-196 - [c126]Jie An, Siyu Huang, Yibing Song, Dejing Dou, Wei Liu, Jiebo Luo:
ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows. CVPR 2021: 862-871 - [c125]Abulikemu Abuduweili, Xingjian Li, Humphrey Shi, Cheng-Zhong Xu, Dejing Dou:
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning. CVPR 2021: 6923-6932 - [c124]Nisansa de Silva, Dejing Dou:
Semantic Oppositeness Assisted Deep Contextual Modeling for Automatic Rumor Detection in Social Networks. EACL 2021: 405-415 - [c123]Yaqing Wang, Song Wang, Quanming Yao, Dejing Dou:
Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification. EMNLP (1) 2021: 3091-3101 - [c122]Qiuhao Lu, Dejing Dou, Thien Huu Nguyen:
Parameter-Efficient Domain Knowledge Integration from Multiple Sources for Biomedical Pre-trained Language Models. EMNLP (Findings) 2021: 3855-3865 - [c121]Zeru Zhang, Zijie Zhang, Yang Zhou, Lingfei Wu, Sixing Wu, Xiaoying Han, Dejing Dou, Tianshi Che, Da Yan:
Adversarial Attack against Cross-lingual Knowledge Graph Alignment. EMNLP (1) 2021: 5320-5337 - [c120]Daxiang Dong, Ji Liu, Xi Wang, Weibao Gong, An Qin, Xingjian Li, Dianhai Yu, Patrick Valduriez, Dejing Dou:
Elastic Deep Learning Using Knowledge Distillation with Heterogeneous Computing Resources. Euro-Par Workshops 2021: 116-128 - [c119]Siyu Huang, Tianyang Wang, Haoyi Xiong, Jun Huan, Dejing Dou:
Semi-Supervised Active Learning with Temporal Output Discrepancy. ICCV 2021: 3427-3436 - [c118]Ji Liu, Haoyi Xiong, Xiakai Wang, Jizhou Huang, Qiaojun Li, Tongtong Huang, Siyu Huang, Haifeng Wang, Dejing Dou:
An Investigation of Containment Measure Implementation and Public Responses to the COVID-19 Pandemic in Mainland China. ICDH 2021: 234-243 - [c117]Jiaxiang Ren, Zijie Zhang, Jiayin Jin, Xin Zhao, Sixing Wu, Yang Zhou, Yelong Shen, Tianshi Che, Ruoming Jin, Dejing Dou:
Integrated Defense for Resilient Graph Matching. ICML 2021: 8982-8997 - [c116]Xin Zhao, Zeru Zhang, Zijie Zhang, Lingfei Wu, Jiayin Jin, Yang Zhou, Ruoming Jin, Dejing Dou, Da Yan:
Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks. ICML 2021: 12719-12735 - [c115]Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong:
Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity. KDD 2021: 975-985 - [c114]Hao Liu, Qian Gao, Jiang Li, Xiaochao Liao, Hao Xiong, Guangxing Chen, Wenlin Wang, Guobao Yang, Zhiwei Zha, Daxiang Dong, Dejing Dou, Haoyi Xiong:
JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu. KDD 2021: 3289-3298 - [c113]Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong:
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal. KDD 2021: 3937-3947 - [c112]Hang Hua, Xingjian Li, Dejing Dou, Cheng-Zhong Xu, Jiebo Luo:
Noise Stability Regularization for Improving BERT Fine-tuning. NAACL-HLT 2021: 3229-3241 - [c111]Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue (Steve) Liu, Hao Liu, Dejing Dou:
Generalized DataWeighting via Class-Level Gradient Manipulation. NeurIPS 2021: 14097-14109 - [c110]Yaqing Wang, Abulikemu Abuduweili, Quanming Yao, Dejing Dou:
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction. NeurIPS 2021: 17441-17454 - [c109]Zeru Zhang, Jiayin Jin, Zijie Zhang, Yang Zhou, Xin Zhao, Jiaxiang Ren, Ji Liu, Lingfei Wu, Ruoming Jin, Dejing Dou:
Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory. NeurIPS 2021: 30196-30210 - [c108]Wei Fan, Kunpeng Liu, Hao Liu, Ahmad Hariri, Dejing Dou, Yanjie Fu:
AutoGFS: Automated Group-based Feature Selection via Interactive Reinforcement Learning. SDM 2021: 342-350 - [c107]Qiuhao Lu, Thien Huu Nguyen, Dejing Dou:
Predicting Patient Readmission Risk from Medical Text via Knowledge Graph Enhanced Multiview Graph Convolution. SIGIR 2021: 1990-1994 - [c106]Weijia Zhang, Hao Liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong:
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning. WWW 2021: 1856-1867 - [i66]Haoran Xin, Xinjiang Lu, Tong Xu, Hao Liu, Jingjing Gu, Dejing Dou, Hui Xiong:
Out-of-Town Recommendation with Travel Intention Modeling. CoRR abs/2101.12555 (2021) - [i65]Weijia Zhang, Hao Liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong:
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning. CoRR abs/2102.07359 (2021) - [i64]Abulikemu Abuduweili, Xingjian Li, Humphrey Shi, Cheng-Zhong Xu, Dejing Dou:
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning. CoRR abs/2103.02193 (2021) - [i63]Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou:
Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond. CoRR abs/2103.10689 (2021) - [i62]Xingjian Li, Haoyi Xiong, Chengzhong Xu, Dejing Dou:
SMILE: Self-Distilled MIxup for Efficient Transfer LEarning. CoRR abs/2103.13941 (2021) - [i61]Jie An, Siyu Huang, Yibing Song, Dejing Dou, Wei Liu, Jiebo Luo:
ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows. CoRR abs/2103.16877 (2021) - [i60]Gong Zhang, Yang Zhou, Sixing Wu, Zeru Zhang, Dejing Dou:
Cross-lingual Entity Alignment with Adversarial Kernel Embedding and Adversarial Knowledge Translation. CoRR abs/2104.07837 (2021) - [i59]Yihang Yin, Siyu Huang, Xiang Zhang, Dejing Dou:
BM-NAS: Bilevel Multimodal Neural Architecture Search. CoRR abs/2104.09379 (2021) - [i58]Ji Liu, Jizhou Huang, Yang Zhou, Xuhong Li, Shilei Ji, Haoyi Xiong, Dejing Dou:
From Distributed Machine Learning to Federated Learning: A Survey. CoRR abs/2104.14362 (2021) - [i57]Hao Liu, Qian Gao, Jiang Li, Xiaochao Liao, Hao Xiong, Guangxing Chen, Wenlin Wang, Guobao Yang, Zhiwei Zha, Daxiang Dong, Dejing Dou, Haoyi Xiong:
JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu. CoRR abs/2106.01674 (2021) - [i56]Xuanyu Wu, Xuhong Li, Haoyi Xiong, Xiao Zhang, Siyu Huang, Dejing Dou:
Practical Assessment of Generalization Performance Robustness for Deep Networks via Contrastive Examples. CoRR abs/2106.10653 (2021) - [i55]Haiyan Jiang, Shuyu Li, Luwei Zhang, Haoyi Xiong, Dejing Dou:
Robust Matrix Factorization with Grouping Effect. CoRR abs/2106.13681 (2021) - [i54]Hang Hua, Xingjian Li, Dejing Dou, Cheng-Zhong Xu, Jiebo Luo:
Noise Stability Regularization for Improving BERT Fine-tuning. CoRR abs/2107.04835 (2021) - [i53]Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong:
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal. CoRR abs/2107.05180 (2021) - [i52]Yaqing Wang, Abulikemu Abuduweili, Dejing Dou:
Property-aware Adaptive Relation Networks for Molecular Property Prediction. CoRR abs/2107.07994 (2021) - [i51]Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong:
Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity. CoRR abs/2107.10670 (2021) - [i50]Siyu Huang, Tianyang Wang, Haoyi Xiong, Jun Huan, Dejing Dou:
Semi-Supervised Active Learning with Temporal Output Discrepancy. CoRR abs/2107.14153 (2021) - [i49]Xuhong Li, Haoyi Xiong, Siyu Huang, Shilei Ji, Dejing Dou:
Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study. CoRR abs/2109.00707 (2021) - [i48]Shuangli Li, Jingbo Zhou, Tong Xu, Dejing Dou, Hui Xiong:
GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction. CoRR abs/2109.11730 (2021) - [i47]Haoran Liu, Haoyi Xiong, Yaqing Wang, Haozhe An, Dongrui Wu, Dejing Dou:
Exploring the Common Principal Subspace of Deep Features in Neural Networks. CoRR abs/2110.02863 (2021) - [i46]Haiyan Jiang, Haoyi Xiong, Dongrui Wu, Ji Liu, Dejing Dou:
AgFlow: Fast Model Selection of Penalized PCA via Implicit Regularization Effects of Gradient Flow. CoRR abs/2110.03273 (2021) - [i45]Kafeng Wang, Haoyi Xiong, Jie Zhang, Hongyang Chen, Dejing Dou, Cheng-Zhong Xu:
SenseMag: Enabling Low-Cost Traffic Monitoring using Non-invasive Magnetic Sensing. CoRR abs/2110.12377 (2021) - [i44]Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue Liu, Hao Liu, Dejing Dou:
Generalized Data Weighting via Class-level Gradient Manipulation. CoRR abs/2111.00056 (2021) - [i43]Yaqing Wang, Song Wang, Quanming Yao, Dejing Dou:
Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification. CoRR abs/2111.00180 (2021) - [i42]Ji Liu, Zhihua Wu, Dianhai Yu, Yanjun Ma, Danlei Feng, Minxu Zhang, Xinxuan Wu, Xuefeng Yao, Dejing Dou:
HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments. CoRR abs/2111.10635 (2021) - [i41]Chendi Zhou, Ji Liu, Juncheng Jia, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou:
Efficient Device Scheduling with Multi-Job Federated Learning. CoRR abs/2112.05928 (2021) - [i40]Ji Liu, Lei Mo, Sijia Yang, Jingbo Zhou, Shilei Ji, Haoyi Xiong, Dejing Dou:
Data Placement for Multi-Tenant Data Federation on the Cloud. CoRR abs/2112.07980 (2021) - 2020
- [j24]Sabin Kafle, Nisansa de Silva, Dejing Dou:
An Overview of Utilizing Knowledge Bases in Neural Networks for Question Answering. Inf. Syst. Frontiers 22(5): 1095-1111 (2020) - [c105]Amir Pouran Ben Veyseh, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen:
A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency. AAAI 2020: 9098-9105 - [c104]Amir Pouran Ben Veyseh, Franck Dernoncourt, My Tra Thai, Dejing Dou, Thien Huu Nguyen:
Multi-View Consistency for Relation Extraction via Mutual Information and Structure Prediction. AAAI 2020: 9106-9113 - [c103]Xiao Zhang, Dejing Dou, Ji Wu:
Learning Conceptual-Contextual Embeddings for Medical Text. AAAI 2020: 9579-9586 - [c102]Amir Pouran Ben Veyseh, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen:
Exploiting the Syntax-Model Consistency for Neural Relation Extraction. ACL 2020: 8021-8032 - [c101]Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Dejing Dou, Da Yan:
Unsupervised Multiple Network Alignment with Multinominal GAN and Variational Inference. IEEE BigData 2020: 868-877 - [c100]Qi Kang, Ji Liu, Sijia Yang, Haoyi Xiong, Haozhe An, Xingjian Li, Zhi Feng, Licheng Wang, Dejing Dou:
Quasi-optimal Data Placement for Secure Multi-tenant Data Federation on the Cloud. IEEE BigData 2020: 1954-1963 - [c99]Ji Liu, Xiakai Wang, Haoyi Xiong, Jizhou Huang, Siyu Huang, Haozhe An, Dejing Dou, Haifeng Wang:
An Investigation of Containment Measures Against the COVID-19 Pandemic in Mainland China. IEEE BigData 2020: 3204-3211 - [c98]Qingzhong Wang, Jiuniu Wang, Antoni B. Chan, Siyu Huang, Haoyi Xiong, Xingjian Li, Dejing Dou:
Neighbours Matter: Image Captioning with Similar Images. BMVC 2020 - [c97]Qiuhao Lu, Nisansa de Silva, Dejing Dou, Thien Huu Nguyen, Prithviraj Sen, Berthold Reinwald, Yunyao Li:
Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial Regularization. COLING 2020: 545-555 - [c96]Di Hu, Xuhong Li, Lichao Mou, Pu Jin, Dong Chen, Liping Jing, Xiaoxiang Zhu, Dejing Dou:
Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition. ECCV (24) 2020: 68-84 - [c95]Amir Pouran Ben Veyseh, Nasim Nouri, Franck Dernoncourt, Quan Hung Tran, Dejing Dou, Thien Huu Nguyen:
Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation. EMNLP (Findings) 2020: 4543-4548 - [c94]Amir Pouran Ben Veyseh, Nasim Nouri, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen:
Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning. EMNLP (1) 2020: 8947-8956 - [c93]Yuchen Bian, Jun Huan, Dejing Dou, Xiang Zhang:
Rethinking Local Community Detection: Query Nodes Replacement. ICDM 2020: 930-935 - [c92]Yang Zhou, Jiaxiang Ren, Dejing Dou, Ruoming Jin, Jingyi Zheng, Kisung Lee:
Robust Meta Network Embedding against Adversarial Attacks. ICDM 2020: 1448-1453 - [c91]Kafeng Wang, Xitong Gao, Yiren Zhao, Xingjian Li, Dejing Dou, Cheng-Zhong Xu:
Pay Attention to Features, Transfer Learn Faster CNNs. ICLR 2020 - [c90]Xingjian Li, Haoyi Xiong, Haozhe An, Cheng-Zhong Xu, Dejing Dou:
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr. ICML 2020: 6010-6019 - [c89]Hai Phan, My T. Thai, Han Hu, Ruoming Jin, Tong Sun, Dejing Dou:
Scalable Differential Privacy with Certified Robustness in Adversarial Learning. ICML 2020: 7683-7694 - [c88]Siyu Huang, Haoyi Xiong, Zhi-Qi Cheng, Qingzhong Wang, Xingran Zhou, Bihan Wen, Jun Huan, Dejing Dou:
Generating Person Images with Appearance-aware Pose Stylizer. IJCAI 2020: 623-629 - [c87]Phung Lai, NhatHai Phan, Han Hu, Anuja Badeti, David Newman, Dejing Dou:
Ontology-based Interpretable Machine Learning for Textual Data. IJCNN 2020: 1-10 - [c86]Di Hu, Rui Qian, Minyue Jiang, Xiao Tan, Shilei Wen, Errui Ding, Weiyao Lin, Dejing Dou:
Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matching. NeurIPS 2020 - [c85]Zijie Zhang, Zeru Zhang, Yang Zhou, Yelong Shen, Ruoming Jin, Dejing Dou:
Adversarial Attacks on Deep Graph Matching. NeurIPS 2020 - [e3]M. Arif Wani, Feng Luo, Xiaolin Andy Li, Dejing Dou, Francesco Bonchi:
19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020, Miami, FL, USA, December 14-17, 2020. IEEE 2020, ISBN 978-1-7281-8470-8 [contents] - [i39]Di Hu, Zheng Wang, Haoyi Xiong, Dong Wang, Feiping Nie, Dejing Dou:
Curriculum Audiovisual Learning. CoRR abs/2001.09414 (2020) - [i38]Xien Liu, Song Wang, Xiao Zhang, Xinxin You, Ji Wu, Dejing Dou:
Label-guided Learning for Text Classification. CoRR abs/2002.10772 (2020) - [i37]Siyu Huang, Haoyi Xiong, Tianyang Wang, Qingzhong Wang, Zeyu Chen, Jun Huan, Dejing Dou:
Parameter-Free Style Projection for Arbitrary Style Transfer. CoRR abs/2003.07694 (2020) - [i36]Phung Lai, NhatHai Phan, Han Hu, Anuja Badeti, David Newman, Dejing Dou:
Ontology-based Interpretable Machine Learning for Textual Data. CoRR abs/2004.00204 (2020) - [i35]Xingjian Li, Haoyi Xiong, Haozhe An, Dejing Dou, Chengzhong Xu:
COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization. CoRR abs/2004.12443 (2020) - [i34]Di Hu, Lichao Mou, Qingzhong Wang, Junyu Gao, Yuansheng Hua, Dejing Dou, Xiao Xiang Zhu:
Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions. CoRR abs/2005.07097 (2020) - [i33]Di Hu, Xuhong Li, Lichao Mou, Pu Jin, Dong Chen, Liping Jing, Xiaoxiang Zhu, Dejing Dou:
Cross-Task Transfer for Multimodal Aerial Scene Recognition. CoRR abs/2005.08449 (2020) - [i32]Xingjian Li, Haoyi Xiong, Haozhe An, Chengzhong Xu, Dejing Dou:
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr. CoRR abs/2007.03349 (2020) - [i31]Xuhong Li, Yves Grandvalet, Rémi Flamary, Nicolas Courty, Dejing Dou:
Representation Transfer by Optimal Transport. CoRR abs/2007.06737 (2020) - [i30]Ji Liu, Xiakai Wang, Haoyi Xiong, Jizhou Huang, Siyu Huang, Haozhe An, Dejing Dou, Haifeng Wang:
An Investigation of Containment Measures Against the COVID-19 Pandemic in Mainland China. CoRR abs/2007.08254 (2020) - [i29]Siyu Huang, Haoyi Xiong, Zhi-Qi Cheng, Qingzhong Wang, Xingran Zhou, Bihan Wen, Jun Huan, Dejing Dou:
Generating Person Images with Appearance-aware Pose Stylizer. CoRR abs/2007.09077 (2020) - [i28]Xingjian Li, Haoyi Xiong, Haozhe An, Chengzhong Xu, Dejing Dou:
XMixup: Efficient Transfer Learning with Auxiliary Samples by Cross-domain Mixup. CoRR abs/2007.10252 (2020) - [i27]Xiao Zhang, Xingjian Li, Dejing Dou, Ji Wu:
Measuring Information Transfer in Neural Networks. CoRR abs/2009.07624 (2020) - [i26]Di Hu, Rui Qian, Minyue Jiang, Xiao Tan, Shilei Wen, Errui Ding, Weiyao Lin, Dejing Dou:
Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matching. CoRR abs/2010.05466 (2020) - [i25]Xingjian Li, Di Hu, Xuhong Li, Haoyi Xiong, Zhi Ye, Zhipeng Wang, Chengzhong Xu, Dejing Dou:
Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement. CoRR abs/2010.08532 (2020) - [i24]Amir Pouran Ben Veyseh, Nasim Nouri, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen:
Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning. CoRR abs/2010.13378 (