Shuchang’s homepage

About me

Hello! I am currently a senior algorithm engineer in the Tongyi Lab at Alibaba Group. In December 2023, I obtained my Ph.D. degree in Computer Science from CAS Key Laboratory of AI Safety at Institute of Computing Technology, Chinese Academy of Sciences (ICT, CAS). My supervisor is Prof. Huawei Shen.

I am broadly interested in large language model trustworthy machine learning. My current and previous works mainly focus on large language model and adversarial robustness.

Research interests: large language model, trustworthy machine learning, adversarial robustness

We are looking for self-motivated research interns at Alibaba Group. Please feel free to contact me via email if you are interested.

Email: shuchangtao5 [AT] gmail.com

Educations

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

    PhD in Software Engineering, from September 2018 to December 2023.

  • Tianjin University, Tianjin, China

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

Selected Publications

  • When to Trust LLMs: Aligning Confidence with Response Quality

    *Shuchang** Tao, Liuyi Yao, Hanxing Ding, Yuexiang Xie, Qi Cao, Fei Sun, Jinyang Gao, Huawei Shen, Bolin Ding

    ACL 2024 [Paper] [Github]

  • 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) [Paper] [Github]

  • Single Node Injection Attack against Graph Neural Networks

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

    CIKM 2021 [Paper] [Github]

  • IDEA: Invariant Causal Learning for Graph Adversarial Robustness against Attacks

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

    Information Sciences (IF=8.233) [Paper] [Github]

  • 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) [Paper] [Github]

  • Adversarial Immunization for Certifiable Robustness on Graphs

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

    WSDM 2021 [Paper] [Github] [Talk]

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

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

    SIGIR 2022 [Paper] [Github]

  • Signed Bipartite Graph Neural Networks

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

    CIKM 2021 [Paper] [Github]

  • Popularity Debiasing from Exposure to Interaction in Collaborative Filtering

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

    SIGIR 2023 [Paper]

  • Robust recommender system: a survey and future directions

    Kaike Zhang, Qi Cao, Fei Sun, Yunfan Wu, Shuchang Tao, Huawei Shen, Xueqi Cheng

    TOIS under review [Paper]

  • Enhanced Embedding Based Attentive Pooling Network for Answer Selection

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

    NLPCC 2017 [Paper]

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