Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Xia Hu

Xia Hu

MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs


Jan 07, 2022
Qiaoyu Tan, Ninghao Liu, Xiao Huang, Rui Chen, Soo-Hyun Choi, Xia Hu

Figure 1 for MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs
Figure 2 for MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs
Figure 3 for MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs
Figure 4 for MGAE: Masked Autoencoders for Self-Supervised Learning on Graphs

  Access Paper or Ask Questions

Towards Similarity-Aware Time-Series Classification


Jan 06, 2022
Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu

Figure 1 for Towards Similarity-Aware Time-Series Classification
Figure 2 for Towards Similarity-Aware Time-Series Classification
Figure 3 for Towards Similarity-Aware Time-Series Classification
Figure 4 for Towards Similarity-Aware Time-Series Classification
* Accepted by SDM 2022 
  Access Paper or Ask Questions

Defense Against Explanation Manipulation


Nov 08, 2021
Ruixiang Tang, Ninghao Liu, Fan Yang, Na Zou, Xia Hu

Figure 1 for Defense Against Explanation Manipulation
Figure 2 for Defense Against Explanation Manipulation
Figure 3 for Defense Against Explanation Manipulation
Figure 4 for Defense Against Explanation Manipulation

  Access Paper or Ask Questions

CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks


Oct 28, 2021
Haotian Xue, Kaixiong Zhou, Tianlong Chen, Kai Guo, Xia Hu, Yi Chang, Xin Wang

Figure 1 for CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks
Figure 2 for CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks
Figure 3 for CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks
Figure 4 for CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks

  Access Paper or Ask Questions

What do Compressed Large Language Models Forget? Robustness Challenges in Model Compression


Oct 16, 2021
Mengnan Du, Subhabrata Mukherjee, Yu Cheng, Milad Shokouhi, Xia Hu, Ahmed Hassan Awadallah

Figure 1 for What do Compressed Large Language Models Forget? Robustness Challenges in Model Compression
Figure 2 for What do Compressed Large Language Models Forget? Robustness Challenges in Model Compression
Figure 3 for What do Compressed Large Language Models Forget? Robustness Challenges in Model Compression
Figure 4 for What do Compressed Large Language Models Forget? Robustness Challenges in Model Compression

  Access Paper or Ask Questions

Orthogonal Graph Neural Networks


Sep 23, 2021
Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang

Figure 1 for Orthogonal Graph Neural Networks
Figure 2 for Orthogonal Graph Neural Networks
Figure 3 for Orthogonal Graph Neural Networks
Figure 4 for Orthogonal Graph Neural Networks

  Access Paper or Ask Questions

Adaptive Label Smoothing To Regularize Large-Scale Graph Training


Aug 30, 2021
Kaixiong Zhou, Ninghao Liu, Fan Yang, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu

Figure 1 for Adaptive Label Smoothing To Regularize Large-Scale Graph Training
Figure 2 for Adaptive Label Smoothing To Regularize Large-Scale Graph Training
Figure 3 for Adaptive Label Smoothing To Regularize Large-Scale Graph Training
Figure 4 for Adaptive Label Smoothing To Regularize Large-Scale Graph Training

  Access Paper or Ask Questions

Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study


Aug 24, 2021
Tianlong Chen, Kaixiong Zhou, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang

Figure 1 for Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study
Figure 2 for Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study
Figure 3 for Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study
Figure 4 for Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study
* Preprint 
  Access Paper or Ask Questions

AutoVideo: An Automated Video Action Recognition System


Aug 10, 2021
Daochen Zha, Zaid Pervaiz Bhat, Yi-Wei Chen, Yicheng Wang, Sirui Ding, Anmoll Kumar Jain, Mohammad Qazim Bhat, Kwei-Herng Lai, Jiaben Chen, Na Zou, Xia Hu

Figure 1 for AutoVideo: An Automated Video Action Recognition System
Figure 2 for AutoVideo: An Automated Video Action Recognition System
* https://github.com/datamllab/autovideo 
  Access Paper or Ask Questions

Dirichlet Energy Constrained Learning for Deep Graph Neural Networks


Jul 06, 2021
Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu

Figure 1 for Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
Figure 2 for Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
Figure 3 for Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
Figure 4 for Dirichlet Energy Constrained Learning for Deep Graph Neural Networks

  Access Paper or Ask Questions

Generating the Graph Gestalt: Kernel-Regularized Graph Representation Learning


Jun 29, 2021
Kiarash Zahirnia, Ankita Sakhuja, Oliver Schulte, Parmis Nadaf, Ke Li, Xia Hu

Figure 1 for Generating the Graph Gestalt: Kernel-Regularized Graph Representation Learning
Figure 2 for Generating the Graph Gestalt: Kernel-Regularized Graph Representation Learning
Figure 3 for Generating the Graph Gestalt: Kernel-Regularized Graph Representation Learning
Figure 4 for Generating the Graph Gestalt: Kernel-Regularized Graph Representation Learning

  Access Paper or Ask Questions

Fairness via Representation Neutralization


Jun 23, 2021
Mengnan Du, Subhabrata Mukherjee, Guanchu Wang, Ruixiang Tang, Ahmed Hassan Awadallah, Xia Hu

Figure 1 for Fairness via Representation Neutralization
Figure 2 for Fairness via Representation Neutralization
Figure 3 for Fairness via Representation Neutralization
Figure 4 for Fairness via Representation Neutralization

  Access Paper or Ask Questions

Model-Based Counterfactual Synthesizer for Interpretation


Jun 16, 2021
Fan Yang, Sahan Suresh Alva, Jiahao Chen, Xia Hu

Figure 1 for Model-Based Counterfactual Synthesizer for Interpretation
Figure 2 for Model-Based Counterfactual Synthesizer for Interpretation
Figure 3 for Model-Based Counterfactual Synthesizer for Interpretation
Figure 4 for Model-Based Counterfactual Synthesizer for Interpretation
* 11 pages in total; To appear in KDD'21; 
  Access Paper or Ask Questions

DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning


Jun 11, 2021
Daochen Zha, Jingru Xie, Wenye Ma, Sheng Zhang, Xiangru Lian, Xia Hu, Ji Liu

Figure 1 for DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
Figure 2 for DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
Figure 3 for DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
Figure 4 for DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
* Accepted by ICML 2021 
  Access Paper or Ask Questions

Simplifying Deep Reinforcement Learning via Self-Supervision


Jun 10, 2021
Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu

Figure 1 for Simplifying Deep Reinforcement Learning via Self-Supervision
Figure 2 for Simplifying Deep Reinforcement Learning via Self-Supervision
Figure 3 for Simplifying Deep Reinforcement Learning via Self-Supervision
Figure 4 for Simplifying Deep Reinforcement Learning via Self-Supervision

  Access Paper or Ask Questions

A General Taylor Framework for Unifying and Revisiting Attribution Methods


May 28, 2021
Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu

Figure 1 for A General Taylor Framework for Unifying and Revisiting Attribution Methods
Figure 2 for A General Taylor Framework for Unifying and Revisiting Attribution Methods
Figure 3 for A General Taylor Framework for Unifying and Revisiting Attribution Methods
Figure 4 for A General Taylor Framework for Unifying and Revisiting Attribution Methods

  Access Paper or Ask Questions

Learning Disentangled Representations for Time Series


May 21, 2021
Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Denghui Zhang, Haifeng Chen, Xia Hu

Figure 1 for Learning Disentangled Representations for Time Series
Figure 2 for Learning Disentangled Representations for Time Series
Figure 3 for Learning Disentangled Representations for Time Series
Figure 4 for Learning Disentangled Representations for Time Series

  Access Paper or Ask Questions

Interpretable Time-series Representation Learning With Multi-Level Disentanglement


May 17, 2021
Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Denghui Zhang, Haifeng Chen, Xia Hu

Figure 1 for Interpretable Time-series Representation Learning With Multi-Level Disentanglement
Figure 2 for Interpretable Time-series Representation Learning With Multi-Level Disentanglement
Figure 3 for Interpretable Time-series Representation Learning With Multi-Level Disentanglement
Figure 4 for Interpretable Time-series Representation Learning With Multi-Level Disentanglement

  Access Paper or Ask Questions

Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution


Apr 14, 2021
Huiqi Deng, Na Zou, Weifu Chen, Guocan Feng, Mengnan Du, Xia Hu

Figure 1 for Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution
Figure 2 for Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution
Figure 3 for Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution
Figure 4 for Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution

  Access Paper or Ask Questions

DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization


Mar 26, 2021
Zirui Liu, Haifeng Jin, Ting-Hsiang Wang, Kaixiong Zhou, Xia Hu

Figure 1 for DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization
Figure 2 for DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization
Figure 3 for DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization
Figure 4 for DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization

  Access Paper or Ask Questions

Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models


Mar 18, 2021
Mengnan Du, Varun Manjunatha, Rajiv Jain, Ruchi Deshpande, Franck Dernoncourt, Jiuxiang Gu, Tong Sun, Xia Hu

Figure 1 for Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models
Figure 2 for Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models
Figure 3 for Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models
Figure 4 for Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models
* Accepted by NAACL 2021 
  Access Paper or Ask Questions

Model Complexity of Deep Learning: A Survey


Mar 08, 2021
Xia Hu, Lingyang Chu, Jian Pei, Weiqing Liu, Jiang Bian

Figure 1 for Model Complexity of Deep Learning: A Survey
Figure 2 for Model Complexity of Deep Learning: A Survey
Figure 3 for Model Complexity of Deep Learning: A Survey
Figure 4 for Model Complexity of Deep Learning: A Survey

  Access Paper or Ask Questions

Dynamic Memory based Attention Network for Sequential Recommendation


Feb 18, 2021
Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu

Figure 1 for Dynamic Memory based Attention Network for Sequential Recommendation
Figure 2 for Dynamic Memory based Attention Network for Sequential Recommendation
Figure 3 for Dynamic Memory based Attention Network for Sequential Recommendation
Figure 4 for Dynamic Memory based Attention Network for Sequential Recommendation

  Access Paper or Ask Questions

Sparse-Interest Network for Sequential Recommendation


Feb 18, 2021
Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu

Figure 1 for Sparse-Interest Network for Sequential Recommendation
Figure 2 for Sparse-Interest Network for Sequential Recommendation
Figure 3 for Sparse-Interest Network for Sequential Recommendation
Figure 4 for Sparse-Interest Network for Sequential Recommendation

  Access Paper or Ask Questions

Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments


Feb 04, 2021
Daochen Zha, Wenye Ma, Lei Yuan, Xia Hu, Ji Liu

Figure 1 for Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments
Figure 2 for Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments
Figure 3 for Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments
Figure 4 for Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments
* Accepted by ICLR 2021 
  Access Paper or Ask Questions

Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation


Jan 18, 2021
Fan Yang, Ninghao Liu, Mengnan Du, Xia Hu

Figure 1 for Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation
Figure 2 for Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation
Figure 3 for Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation
Figure 4 for Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation

  Access Paper or Ask Questions

Deep Serial Number: Computational Watermarking for DNN Intellectual Property Protection


Nov 17, 2020
Ruixiang Tang, Mengnan Du, Xia Hu

Figure 1 for Deep Serial Number: Computational Watermarking for DNN Intellectual Property Protection
Figure 2 for Deep Serial Number: Computational Watermarking for DNN Intellectual Property Protection
Figure 3 for Deep Serial Number: Computational Watermarking for DNN Intellectual Property Protection
Figure 4 for Deep Serial Number: Computational Watermarking for DNN Intellectual Property Protection

  Access Paper or Ask Questions