Jiliang Tang– Publications

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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2015

2014

2013