Enhanced Embedding Based Attentive Pooling Network for Answer Selection. - Zhan Su 002; Benyou Wang; Jiabin Niu; Shuchang Tao; Peng Zhang 002; Dawei Song 001 (NLPCC, 2017)

Text Matching with Monte Carlo Tree Search. - Yixuan He; Shuchang Tao; Jun Xu 001; Jiafeng Guo; Yanyan Lan; Xueqi Cheng (CCIR, 2018)

ICTNET at Trec 2019 Decision Track. - Wanqing Cui; Yan Jiang; Shuchang Tao; Hanzhang Guo (TREC, 2019)

Adversarial Immunization for Improving Certifiable Robustness on Graphs. - Shuchang Tao; Huawei Shen; Qi Cao; Liang Hou; Xueqi Cheng (CoRR, 2020)

Signed Bipartite Graph Neural Networks. - Junjie Huang; Huawei Shen; Qi Cao; Shuchang Tao; Xueqi Cheng (CIKM, 2021)

Single Node Injection Attack against Graph Neural Networks. - Shuchang Tao; Qi Cao; Huawei Shen; Junjie Huang; Yunfan Wu; Xueqi Cheng (CIKM, 2021)

Adversarial Immunization for Certifiable Robustness on Graphs. - Shuchang Tao; Huawei Shen; Qi Cao; Liang Hou; Xueqi Cheng (WSDM, 2021)

Inductive Representation Based Graph Convolution Network for Collaborative Filtering. - Yunfan Wu; Qi Cao; Huawei Shen; Shuchang Tao; Xueqi Cheng (CoRR, 2021)

INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering. - Yunfan Wu; Qi Cao; Huawei Shen; Shuchang Tao; Xueqi Cheng (SIGIR, 2022)

Adversarial Camouflage for Node Injection Attack on Graphs. - Shuchang Tao; Qi Cao; Huawei Shen; Yunfan Wu; Liang Hou; Xueqi Cheng (CoRR, 2022)

Popularity Debiasing from Exposure to Interaction in Collaborative Filtering. - Yuanhao Liu; Qi Cao; Huawei Shen; Yunfan Wu; Shuchang Tao; Xueqi Cheng (SIGIR, 2023)

IDEA: Invariant Causal Defense for Graph Adversarial Robustness. - Shuchang Tao; Qi Cao; Huawei Shen; Yunfan Wu; Bingbing Xu 001; Xueqi Cheng (CoRR, 2023)

Robust Recommender System: A Survey and Future Directions. - Kaike Zhang; Qi Cao; Fei Sun 001; Yunfan Wu; Shuchang Tao; Huawei Shen; Xueqi Cheng (CoRR, 2023)

Adversarial camouflage for node injection attack on graphs. - Shuchang Tao; Qi Cao; Huawei Shen; Yunfan Wu; Liang Hou; Fei Sun 001; Xueqi Cheng (Inf. Sci., 2023)

When to Trust LLMs: Aligning Confidence with Response Quality. - Shuchang Tao; Liuyi Yao; Hanxing Ding; Yuexiang Xie; Qi Cao; Fei Sun 001; Jinyang Gao; Huawei Shen; Bolin Ding (ACL (Findings), 2024)

Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems. - Yunfan Wu; Qi Cao; Shuchang Tao; Kaike Zhang; Fei Sun 001; Huawei Shen (RecSys, 2024)

IDEA: Invariant defense for graph adversarial robustness. - Shuchang Tao; Qi Cao; Huawei Shen; Yunfan Wu; Bingbing Xu 001; Xueqi Cheng (Inf. Sci., 2024)

Graph Adversarial Immunization for Certifiable Robustness. - Shuchang Tao; Qi Cao; Huawei Shen; Yunfan Wu; Liang Hou; Xueqi Cheng (IEEE Trans. Knowl. Data Eng., 2024)

Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists. - Yue Cui 001; Liuyi Yao; Shuchang Tao; Weijie Shi; Yaliang Li; Bolin Ding; Xiaofang Zhou 001 (ACL (Findings), 2025)

ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models. - Hanxing Ding; Shuchang Tao; Liang Pang; Zihao Wei; Jinyang Gao; Bolin Ding; Huawei Shen; Xueqi Cheng (ACL (1), 2025)

Revisiting Robust RAG: Do We Still Need Complex Robust Training in the Era of Powerful LLMs? - Hanxing Ding; Shuchang Tao; Liang Pang; Zihao Wei; Liwei Chen; Kun Xu; Huawei Shen; Xueqi Cheng (CoRR, 2025)

Incentivizing Strong Reasoning from Weak Supervision. - Yige Yuan; Teng Xiao; Shuchang Tao; Xue Wang 010; Jinyang Gao; Bolin Ding; Bingbing Xu 001 (CoRR, 2025)

Inference-time Alignment in Continuous Space. - Yige Yuan; Teng Xiao; Li Yunfan; Bingbing Xu 001; Shuchang Tao; Yunqi Qiu; Huawei Shen; Xueqi Cheng (CoRR, 2025)