Shuchang Tao

Shuchang Tao

4th-year PhD student at ICT. Interested in Adversarial attack and defense on graphs.

Shuchang’s homepage

About me

Hello! I am a 5th year PhD student in Computer Science, Institute of Computing Technology, Chinese Academy of Sciences (ICT, CAS). My supervisor is Prof. Huawei Shen.

I am broadly interested in trustworthy machine learning and graph neural networks. Most of my current and previous works focus on adversarial attack and defense on graph neural networks.

Research interests: adversarial robustness, graph neural networks, adversarial attack

Email: taoshuchang18z [AT] ict.ac.cn

Educations

  • Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.

    PhD in Software Engineering, from September 2018 to June 2023 (Expected).

  • Tianjin University, Tianjin, China

    B.E. in Computer Science and Technology, from September 2014 to June 2018.

Publications

  1. Adversarial Immunization for Certifiable Robustness on Graphs

    Shuchang Tao, Huawei Shen, Qi Cao, Liang Hou, and Xueqi Cheng

    14th ACM International Conference on Web Search and Data Mining (WSDM 2021), Full Research Paper

    [Paper] [Github] [Talk]

  2. Single Node Injection Attack against Graph Neural Networks

    Shuchang Tao, Qi Cao, Huawei Shen, Junjie Huang, Yunfan Wu, Xueqi Cheng

    30th ACM International Conference on Information and Knowledge Management (CIKM 2021) , Full Research Paper

    [Paper] [Github]

  3. Graph Adversarial Immunization for Certifiable Robustness

    Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Liang Hou, Xueqi Cheng

    Transactions on Knowledge and Data Engineering (TKDE) (IF=9.235), Accept

    [Paper] [Github]

  4. Adversarial Camouflage for Node Injection Attack on Graphs

    Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Liang Hou, Xueqi Cheng

    Information Sciences (IF=8.233), Accept

    [Paper] [Github]

  5. IDEA: Invariant Causal Learning for Graph Adversarial Robustness against Attacks

    Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Bingbing Xu, Xueqi Cheng

    ICLR 2024, Under review

    [Paper] [Github]

  6. INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering

    Yunfan Wu, Qi Cao, Huawei Shen, Shuchang Tao, Xueqi Cheng

    45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), Full Research Paper

    [Paper] [Github]

  7. Signed Bipartite Graph Neural Networks

    Junjie Huang, Huawei Shen, Qi Cao, Shuchang Tao, Xueqi Cheng

    30th ACM International Conference on Information and Knowledge Management (CIKM 2021) , Full Research Paper

    [Paper] [Github]

  8. Popularity Debiasing from Exposure to Interaction in Collaborative Filtering

    Yuanhao Liu, Qi Cao, Huawei Shen, Yunfan Wu, Shuchang Tao, Xueqi Cheng

    46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), Short Paper

    [Paper]

  9. Enhanced Embedding Based Attentive Pooling Network for Answer Selection

    Zhan Su, Benyou Wang, Jiabin Niu, Shuchang Tao, Peng Zhang, Dawei Song

    6th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2017), Regular Paper

    [Paper]

  10. Text Matching with Monte Carlo Tree Search

    Yixuan He, Shuchang Tao, Jun Xu, Jiafeng Guo, YanYan Lan, Xueqi Cheng

    24th China Conference on Information Retrieval (CCIR 2018), Regular Paper

    [Paper]

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Awards

  • National Scholarship, 2015

  • Excellence Student Prize, Institute of Computing Technology, Chinese Academy of Sciences, 2021

  • CIKM Student Travel Award, 2021

  • WSDM Student Travel Award, 2021

  • Merit Student, University of Chinese Academy of Sciences, 2022, 2021,and 2018

  • First Prize of Academic Scholarship of University of Chinese Academy of Sciences, 2019