Automatic Threshold Calculation Based Label Propagation Algorithm for Overlapping Community. - Gongshen Liu; Kui Meng; Hongyi Guo; Li Pan 002; Jianhua Li 001 (DSC, 2016)

ChildGuard: A Child-Safety Monitoring System. - Zhigang Gao; Hongyi Guo; Yunfeng Xie; Yanjun Luo; Huijuan Lu; Ke Yan 001 (IEEE Multim., 2017)

Life Assistants for the Elderly Based on Mobile Devices. - Wenjie Diao; Zhigang Gao; Ruichao Xu; Yunfeng Xie; Ke Yan 001; Hongyi Guo (DASC/PiCom/DataCom/CyberSciTech, 2019)

Signal Instructed Coordination in Team Competition. - Liheng Chen; Hongyi Guo; Haifeng Zhang 002; Fei Fang 001; Yaoming Zhu; Ming Zhou 006; Weinan Zhang 001; Qing Wang; Yong Yu 001 (CoRR, 2019)

Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates. - Yang Liu 018; Hongyi Guo (ICML, 2020)

An improved localization method in cyber-social environments with obstacles. - Zhigang Gao; Hongyi Guo; Yunfeng Xie; Huijuan Lu; Jianhui Zhang; Wenjie Diao; Ruichao Xu (Comput. Electr. Eng., 2020)

Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning. - Liheng Chen; Hongyi Guo; Yali Du 001; Fei Fang 001; Haifeng Zhang 002; Weinan Zhang 001; Yong Yu 001 (DAI, 2021)

Decentralized Single-Timescale Actor-Critic on Zero-Sum Two-Player Stochastic Games. - Hongyi Guo; Zuyue Fu; Zhuoran Yang; Zhaoran Wang 001 (ICML, 2021)

Policy Learning Using Weak Supervision. - Jingkang Wang; Hongyi Guo; Zhaowei Zhu; Yang Liu 018 (NeurIPS, 2021)

Provably Efficient Offline Reinforcement Learning for Partially Observable Markov Decision Processes. - Hongyi Guo; Qi Cai; Yufeng Zhang 007; Zhuoran Yang; Zhaoran Wang 001 (ICML, 2022)

Behavior Contrastive Learning for Unsupervised Skill Discovery. - Rushuai Yang; Chenjia Bai; Hongyi Guo; Siyuan Li 003; Bin Zhao 001; Zhen Wang 004; Peng Liu 008; Xuelong Li 001 (ICML, 2023)

Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency. - Zhihan Liu; Hao Hu; Shenao Zhang; Hongyi Guo; Shuqi Ke; Boyi Liu 001; Zhaoran Wang 001 (CoRR, 2023)

Reason for Future, Act for Now: A Principled Architecture for Autonomous LLM Agents. - Zhihan Liu; Hao Hu; Shenao Zhang; Hongyi Guo; Shuqi Ke; Boyi Liu 001; Zhaoran Wang 001 (ICML, 2024)

Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer. - Zhihan Liu; Miao Lu; Shenao Zhang; Boyi Liu 001; Hongyi Guo; Yingxiang Yang; Jose H. Blanchet; Zhaoran Wang 001 (NeurIPS, 2024)

Human-Instruction-Free LLM Self-Alignment with Limited Samples. - Hongyi Guo; Yuanshun Yao; Wei Shen; Jiaheng Wei; Xiaoying Zhang; Zhaoran Wang 001; Yang Liu 018 (CoRR, 2024)

Measuring and Reducing LLM Hallucination without Gold-Standard Answers via Expertise-Weighting. - Jiaheng Wei; Yuanshun Yao; Jean-Francois Ton; Hongyi Guo; Andrew Estornell; Yang Liu 018 (CoRR, 2024)

Can Large Language Models Play Games? A Case Study of A Self-Play Approach. - Hongyi Guo; Zhihan Liu; Yufeng Zhang 007; Zhaoran Wang 001 (CoRR, 2024)

Improving Reinforcement Learning from Human Feedback Using Contrastive Rewards. - Wei Shen; Xiaoying Zhang; Yuanshun Yao; Rui Zheng; Hongyi Guo; Yang Liu 018 (CoRR, 2024)

Toward Optimal LLM Alignments Using Two-Player Games. - Rui Zheng; Hongyi Guo; Zhihan Liu; Xiaoying Zhang; Yuanshun Yao; Xiaojun Xu; Zhaoran Wang 001; Zhiheng Xi; Tao Gui; Qi Zhang 001; Xuanjing Huang 001; Hang Li 001; et al. (CoRR, 2024)

Diverse randomized value functions: A provably pessimistic approach for offline reinforcement learning. - Xudong Yu; Chenjia Bai; Hongyi Guo; Changhong Wang; Zhen Wang 004 (Inf. Sci., 2024)

Landslide Hazard Prediction Based on Small Baseline Subset-Interferometric Synthetic-Aperture Radar Technology Combined with Land-Use Dynamic Change and Hydrological Conditions (Sichuan, China). - Hongyi Guo; Antonio Miguel Martínez-Graña (Remote. Sens., 2024)

Lightweight intelligent detection algorithm for surface defects in printed circuit board. - Xiaolong Zhao; Haifeng Zhang; Chonghui Song; Hao Li; Hongyi Guo (Comput. Ind. Eng., 2025)

BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning. - Han Zhong 001; Yutong Yin; Shenao Zhang; Xiaojun Xu; Yuanxin Liu; Yifei Zuo; Zhihan Liu; Boyi Liu 001; Sirui Zheng; Hongyi Guo; Liwei Wang 001; Mingyi Hong 001; et al. (CoRR, 2025)

Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning. - Jiaze Chen; Tiantian Fan; Xin Liu; Lingjun Liu; Zhiqi Lin; Mingxuan Wang; Chengyi Wang; Xiangpeng Wei; Wenyuan Xu; Yufeng Yuan; Yu Yue; Lin Yan; et al. (CoRR, 2025)