Jiliang Tang– Publications

Preprint

  • Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study.
  • AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations
  • Jointly Learning to Recommend and Advertise
  • Deep Reinforcement Learning for Online Advertising in Recommender Systems
  • Toward simulating environments in reinforcement learning based recommendations
  • Does Gender Matter? Towards Fairness in Dialogue Systems
  • Attacking Graph Convolutional Networks via Rewiring
  • R-Transformer: Recurrent Neural Network Enhanced Transformer
  • Say What I Want: Towards the Dark Side of Neural Dialogue Models
  • Deep Adversarial Network Alignment
  • Linked Recurrent Neural Networks
  • Model-Based Reinforcement Learning for Whole-Chain Recommendations
  • Dynamic Graph Convolutional Networks
  • 2020

    • Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu and Jiliang Tang
      Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning
      In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020

    • Wentao Wang, Tyler Derr, Yao Ma, Suhang Wang, Hui Liu, Zitao Liu and Jiliang Tang
      Learning from Incomplete Labeled Data via Adversarial Data Generation
      In Proceedings of the 2020 IEEE International Conference on Data Mining (ICDM), 2020

    • Juanhui Li*, Yao Ma*, Yiqi Wang, Charu Aggarwal, Chang-Dong Wang, Jiliang Tang
      Graph Pooling with Representativeness
      In Proceedings of the 2020 IEEE International Conference on Data Mining (ICDM), 2020

    • Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu and Jiliang Tang
      Does Gender Matter? Towards Fairness in Dialogue Systems
      In Proceedings of the 28th International Conference on Computational Linguistics (COLING), 2020

    • Haochen Liu, Zitao Liu, Zhongqin Wu and Jiliang Tang
      Personalized Multimodal Feedback Generation in Education
      In Proceedings of the 28th International Conference on Computational Linguistics (COLING), 2020

    • Wentao Wang, Guowei Xu, Wenbiao Ding, Gale Yan Huang, Guoliang Li, Jiliang Tang and Zitao Liu
      Representation Learning from Limited Educational Data with Crowdsourced Labels
      In IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020

    • Wenqi Fan, Yao Ma , Qing Li, Jianping Wang, Guoyong Cai, Jiliang Tang and Dawei Yin
      A Graph Neural Network Framework for Social Recommendations
      In IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020

    • Wei Jin, Yaxin Li, Han Xu, Yiqi Wang and Jiliang Tang
      Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study
      In ACM SIGKDD Explorations Newsletter (SIGKDD Explorations), 2020

    • Hamid Karimi*, Tyler Derr*, Jiangtao Huang and Jiliang Tang
      Online Academic Course Performance Prediction using Relational Graph Convolutional Neural Network
      In Proceedings of 13th International Conference on Educational Data Mining (EDM), 2020

    • Hang Li, Zhiwei Wang, Jiliang Tang, Wenbiao Ding and Zitao Liu
      Siamese Neural Networks for Class Activity Detection
      In Proceedings of the 21st International Conference on Artificial Intelligence in Education (AIED), 2020

    • Xiangyu Zhao, Long Xia, Lixin Zou, Dawei Yin, Hui Liu and Jiliang Tang
      Whole-Chain Recommendations
      In Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM), 2020

    • Hao Yuan, Jiliang Tang, Xia Hu and Shuiwang Ji
      XGNN: Towards Model-Level Explanations of Graph Neural Networks
      In Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020

    • Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang and Jiliang Tang
      Graph Structure Learning for Robust Graph Neural Networks
      In Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020

    • Xiangyu Zhao, Xudong Zheng, Xiwang Yang, Xiaobing Liu and Jiliang Tang
      Jointly Learning to Recommend and Advertise
      In Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020

    • Haochen Liu*, Xiangyu Zhao*, Chong Wang, Xiaobing Liu and Jiliang Tang
      Automated Embedding Size Search in Deep Recommender Systems
      In Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020

    • Yao Ma, Ziyi Guo, Zhaochun Ren, Jiliang Tang and Dawei Yin
      Streaming Graph Neural Networks
      In Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020

    • Christina B.Azodi, Jiliang Tang and Shin-Han Shiu
      Opening the Black Box: Interpretable Machine Learning for Geneticists
      In Trends in Genetics, 2020

    • Jie Zhuang, Tai-quan (Winson) Peng, Jiliang Tang, Yingcai Wu.
      Mixed and blended emotional reactions to 2014 Ebola outbreak
      Journal of Global Health, 2020.

    • Amin Javari, Tyler Derr, Pouya Esmalian, Jiliang Tang, and Kevin Chen-Chuan Chang.
      ROSE: Role-based Signed Network Embedding.
      In Proceedings of the 29th International Conference on World Wide Web Companion (WWW), 2020.

    • Xiaoyang Wang, Yao Ma, Yiqi Wang, Wei Jin, Xin Wang, Jiliang Tang, Caiyan Jia, and Jian Yu
      Traffic Flow Prediction via Spatial Temporal Graph Neural Network
      In Proceedings of the 29th International Conference on World Wide Web Companion (WWW), 2020.

    • Xiaorui Liu, Yao Li, Jiliang Tang and Ming Yan.
      A Double Residual Compression Algorithm for Efficient Distributed Learning
      In Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS), 2020.

    • Wenqi Fan, Yao Ma, Han Xu, Xiaorui Liu, Jianping Wang, Qing Li, and Jiliang Tang.
      Deep Adversarial Canonical Correlation Analysis.
      In Proceedings of the 2020 SIAM International Conference on Data Mining (SDM), 2020.

    • Wentao Wang, Suhang Wang, Wenqi Fan, Zitao Liu, and Jiliang Tang.
      Global-and-Local Aware Data Generation for the Class Imbalance Problem
      In Proceedings of the 2020 SIAM International Conference on Data Mining (SDM), 2020

    • Zhiwei Wang, Hui Liu, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu
      Learning Multi-level Dependencies for Robust Word Recognition
      In The 34th AAAI Conference on Artificial Intelligence (AAAI), 2020.

    • Teng Guo, Feng Xia, Shihao Zhen, Xiaomei Bai, Dongyu Zhang, Zitao Liu, and Jiliang Tang
      Graduate Employment Prediction with Bias
      In The 34th AAAI Conference on Artificial Intelligence (AAAI), 2020.

    • Tyler Derr, Yao Ma, Wenqi Fan, Xiarui Liu, Charu Aggarwal, and Jiliang Tang.
      Epidemic Graph Convolutional Network
      In Proceedings of the 13th ACM International Conference on Web Search and Data Mining (WSDM), 2020.

    • Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil K. Jain.
      Adversarial Attacks and Defenses in Images, Graphs and Text: A Review
      International Journal of Automation and Computing (IJAC), 2020.

    • Saket Sathe, Sayani Aggarwal, and Jiliang Tang
      Gene Expression and Protein Function: A Survey of Deep Learning Methods
      ACM SIGKDD EXplorations, 2020.

    2019

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    2013