Towards Offline Opponent Modeling with In-context Learning. - Yuheng Jing; Kai Li 022; Bingyun Liu; Yifan Zang 001; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (ICLR, 2024)

Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent. - Hang Xu 006; Kai Li 022; Bingyun Liu; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (IJCAI, 2024)

Opponent Modeling with In-context Search. - Yuheng Jing; Bingyun Liu; Kai Li 022; Yifan Zang 001; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (NeurIPS, 2024)

An Open-Ended Learning Framework for Opponent Modeling. - Yuheng Jing; Kai Li 022; Bingyun Liu; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (AAAI, 2025)

Poisoning attacks resilient privacy-preserving federated learning scheme based on lightweight homomorphic encryption. - Chong Zhang; Xiaojun Zhang; Xingchun Yang; Bingyun Liu; Yuan Zhang 006; Rang Zhou (Inf. Fusion, 2025)

Dynamic Certificateless Outsourced Data Auditing Mechanism Supporting Multi-Ownership Transfer via Blockchain Systems. - Xiaojun Zhang; Qing Liu; Bingyun Liu; Yuan Zhang 006; Jingting Xue (IEEE Trans. Netw. Serv. Manag., 2025)

Blockchain-Assisted Fine-Grained Deduplication and Integrity Auditing for Outsourced Large-Scale Data in Cloud Storage. - Bingyun Liu; Xiaojun Zhang; Xingchun Yang; Yuan Zhang 006; Jingting Xue; Rang Zhou (IEEE Internet Things J., 2025)

Lightweight batch tamper proof detection for anonymous outsourced data in cloud-assisted industrial internet of things. - Bingyun Liu; Xiaojun Zhang; Chong Zhang; Lei Li; Jingting Xue (Peer Peer Netw. Appl., 2025)