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Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks

Jan 05, 2021
Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou

* 9 pages, 6 figures 

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C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak

Dec 22, 2020
Congxi Xiao, Jingbo Zhou, Jizhou Huang, An Zhuo, Ji Liu, Haoyi Xiong, Dejing Dou

* 11 pages, accepted by AAAI 2021, appendix is included 

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Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction

Dec 17, 2020
Jingbo Zhou, Shuangli Li, Liang Huang, Haoyi Xiong, Fan Wang, Tong Xu, Hui Xiong, Dejing Dou


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Temporal Relational Modeling with Self-Supervision for Action Segmentation

Dec 14, 2020
Dong Wang, Di Hu, Xingjian Li, Dejing Dou

* Accepted by the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) 

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Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation

Oct 26, 2020
Amir Pouran Ben Veyseh, Nasim Nour, Franck Dernoncourt, Quan Hung Tran, Dejing Dou, Thien Huu Nguyen

* accepted at EMNLP 2020 findings 

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Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning

Oct 26, 2020
Amir Pouran Ben Veyseh, Nasim Nouri, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen

* accepted at EMNLP 2020 main conference 

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Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement

Oct 16, 2020
Xingjian Li, Di Hu, Xuhong Li, Haoyi Xiong, Zhi Ye, Zhipeng Wang, Chengzhong Xu, Dejing Dou


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Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matching

Oct 12, 2020
Di Hu, Rui Qian, Minyue Jiang, Xiao Tan, Shilei Wen, Errui Ding, Weiyao Lin, Dejing Dou

* To appear in NeurIPS 2020. Previous Title: Learning to Discriminatively Localize Sounding Objects in a Cocktail-party Scenario 

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Measuring Information Transfer in Neural Networks

Sep 16, 2020
Xiao Zhang, Xingjian Li, Dejing Dou, Ji Wu


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XMixup: Efficient Transfer Learning with Auxiliary Samples by Cross-domain Mixup

Jul 20, 2020
Xingjian Li, Haoyi Xiong, Haozhe An, Chengzhong Xu, Dejing Dou


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Generating Person Images with Appearance-aware Pose Stylizer

Jul 17, 2020
Siyu Huang, Haoyi Xiong, Zhi-Qi Cheng, Qingzhong Wang, Xingran Zhou, Bihan Wen, Jun Huan, Dejing Dou

* Appearing at IJCAI 2020. The code is available at https://github.com/siyuhuang/PoseStylizer 

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Representation Transfer by Optimal Transport

Jul 13, 2020
Xuhong Li, Yves Grandvalet, Rémi Flamary, Nicolas Courty, Dejing Dou


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RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr

Jul 07, 2020
Xingjian Li, Haoyi Xiong, Haozhe An, Chengzhong Xu, Dejing Dou

* Accepted by ICML'2020 

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Cross-Task Transfer for Multimodal Aerial Scene Recognition

May 18, 2020
Di Hu, Xuhong Li, Lichao Mou, Pu Jin, Dong Chen, Liping Jing, Xiaoxiang Zhu, Dejing Dou


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Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions

May 16, 2020
Di Hu, Lichao Mou, Qingzhong Wang, Junyu Gao, Yuansheng Hua, Dejing Dou, Xiao Xiang Zhu


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COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization

Apr 26, 2020
Xingjian Li, Haoyi Xiong, Haozhe An, Dejing Dou, Chengzhong Xu


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Ontology-based Interpretable Machine Learning for Textual Data

Apr 01, 2020
Phung Lai, NhatHai Phan, Han Hu, Anuja Badeti, David Newman, Dejing Dou

* Accepted by IJCNN 2020 

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Parameter-Free Style Projection for Arbitrary Style Transfer

Mar 17, 2020
Siyu Huang, Haoyi Xiong, Tianyang Wang, Qingzhong Wang, Zeyu Chen, Jun Huan, Dejing Dou

* 9 pages, 12 figures 

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Label-guided Learning for Text Classification

Feb 25, 2020
Xien Liu, Song Wang, Xiao Zhang, Xinxin You, Ji Wu, Dejing Dou


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Curriculum Audiovisual Learning

Jan 26, 2020
Di Hu, Zheng Wang, Haoyi Xiong, Dong Wang, Feiping Nie, Dejing Dou


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Searching for Stage-wise Neural Graphs In the Limit

Dec 30, 2019
Xin Zhou, Dejing Dou, Boyang Li


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Does Interpretability of Neural Networks Imply Adversarial Robustness?

Dec 07, 2019
Adam Noack, Isaac Ahern, Dejing Dou, Boyang Li


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A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency

Nov 17, 2019
Amir Pouran Ben Veyseh, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen


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NormLime: A New Feature Importance Metric for Explaining Deep Neural Networks

Oct 15, 2019
Isaac Ahern, Adam Noack, Luis Guzman-Nateras, Dejing Dou, Boyang Li, Jun Huan


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Learning Conceptual-Contexual Embeddings for Medical Text

Aug 16, 2019
Xiao Zhang, Dejing Dou, Ji Wu


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