VideoForest: interactive visual summarization of video streams based on danmu data. - Zhida Sun; Mingfei Sun 001; Nan Cao 001; Xiaojuan Ma (SIGGRAPH Asia Symposium on Visualization, 2016)

Sensing and Handling Engagement Dynamics in Human-Robot Interaction Involving Peripheral Computing Devices. - Mingfei Sun 001; Zhenjie Zhao; Xiaojuan Ma (CHI, 2017)

A neural-network-based investigation of eye-related movements for accurate drowsiness estimation. - Mingfei Sun 001; Masanori Tsujikawa; Yoshifumi Onishi; Xiaojuan Ma; Atsushi Nishino; Satoshi Hashimoto (EMBC, 2018)

PeerLens: Peer-inspired Interactive Learning Path Planning in Online Question Pool. - Meng Xia 002; Mingfei Sun 001; Huan Wei; Qing Chen 001; Yong Wang 021; Lei Shi 002; Huamin Qu; Xiaojuan Ma (CHI, 2019)

Adversarial Imitation Learning from Incomplete Demonstrations. - Mingfei Sun 001; Xiaojuan Ma (IJCAI, 2019)

Estimating Emotional Intensity from Body Poses for Human-Robot Interaction. - Mingfei Sun 001; Yiqing Mou; Hongwen Xie; Meng Xia 002; Michelle Wong; Xiaojuan Ma (CoRR, 2019)

Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. - Deheng Ye; Zhao Liu; Mingfei Sun 001; Bei Shi; Peilin Zhao; Hao Wu; Hongsheng Yu; Shaojie Yang; Xipeng Wu; Qingwei Guo; Qiaobo Chen; Yinyuting Yin; et al. (AAAI, 2020)

Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge? - Christian Schröder de Witt; Tarun Gupta 002; Denys Makoviichuk; Viktor Makoviychuk; Philip H. S. Torr; Mingfei Sun 001; Shimon Whiteson (CoRR, 2020)

SoftDICE for Imitation Learning: Rethinking Off-policy Distribution Matching. - Mingfei Sun 001; Anuj Mahajan; Katja Hofmann; Shimon Whiteson (CoRR, 2021)

Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency. - Mingfei Sun 001; Sam Devlin; Katja Hofmann; Shimon Whiteson (AAAI, 2022)

How Humans Perceive Human-like Behavior in Video Game Navigation. - Evelyn Zuniga; Stephanie Milani; Guy Leroy; Jaroslaw Rzepecki; Raluca Georgescu; Ida Momennejad; David Bignell; Mingfei Sun 001; Alison Shaw; Gavin Costello; Mikhail Jacob; Sam Devlin; et al. (CHI Extended Abstracts, 2022)

Uni[MASK]: Unified Inference in Sequential Decision Problems. - Micah Carroll; Orr Paradise; Jessy Lin; Raluca Georgescu; Mingfei Sun 001; David Bignell; Stephanie Milani; Katja Hofmann; Matthew J. Hausknecht; Anca D. Dragan; Sam Devlin (NeurIPS, 2022)

You May Not Need Ratio Clipping in PPO. - Mingfei Sun 001; Vitaly Kurin; Guoqing Liu; Sam Devlin; Tao Qin 001; Katja Hofmann; Shimon Whiteson (CoRR, 2022)

Monotonic Improvement Guarantees under Non-stationarity for Decentralized PPO. - Mingfei Sun 001; Sam Devlin; Katja Hofmann; Shimon Whiteson (CoRR, 2022)

Generalization in Cooperative Multi-Agent Systems. - Anuj Mahajan; Mikayel Samvelyan; Tarun Gupta 002; Benjamin Ellis; Mingfei Sun 001; Tim Rocktäschel; Shimon Whiteson (CoRR, 2022)

Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers. - Micah Carroll; Jessy Lin; Orr Paradise; Raluca Georgescu; Mingfei Sun 001; David Bignell; Stephanie Milani; Katja Hofmann; Matthew J. Hausknecht; Anca D. Dragan; Sam Devlin (CoRR, 2022)

UniMASK: Unified Inference in Sequential Decision Problems. - Micah Carroll; Orr Paradise; Jessy Lin; Raluca Georgescu; Mingfei Sun 001; David Bignell; Stephanie Milani; Katja Hofmann; Matthew J. Hausknecht; Anca D. Dragan; Sam Devlin (CoRR, 2022)

SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning. - Benjamin Ellis; Skander Moalla; Mikayel Samvelyan; Mingfei Sun 001; Anuj Mahajan; Jakob N. Foerster; Shimon Whiteson (CoRR, 2022)

Investigating the Effects of Robot Engagement Communication on Learning from Demonstration. - Mingfei Sun 001; Zhenhui Peng; Meng Xia 002; Xiaojuan Ma (Int. J. Soc. Robotics, 2022)

Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings. - Deheng Ye; Guibin Chen; Peilin Zhao; Fuhao Qiu; Bo Yuan 008; Wen Zhang; Sheng Chen; Mingfei Sun 001; Xiaoqian Li; Siqin Li; Jing Liang; Zhenjie Lian; et al. (IEEE Trans. Neural Networks Learn. Syst., 2022)

Trust Region Bounds for Decentralized PPO Under Non-stationarity. - Mingfei Sun 001; Sam Devlin; Jacob Beck; Katja Hofmann; Shimon Whiteson (AAMAS, 2023)

Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation. - Massimiliano Patacchiola; Mingfei Sun 001; Katja Hofmann; Richard E. Turner (CoLLAs, 2023)

Imitating Human Behaviour with Diffusion Models. - Tim Pearce; Tabish Rashid; Anssi Kanervisto; David Bignell; Mingfei Sun 001; Raluca Georgescu; Sergio Valcarcel Macua; Shan Zheng Tan; Ida Momennejad; Katja Hofmann; Sam Devlin (ICLR, 2023)

SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning. - Benjamin Ellis; Jonathan Cook 004; Skander Moalla; Mikayel Samvelyan; Mingfei Sun 001; Anuj Mahajan; Jakob N. Foerster; Shimon Whiteson (NeurIPS, 2023)

Revisiting Estimation Bias in Policy Gradients for Deep Reinforcement Learning. - Haoxuan Pan; Deheng Ye; Xiaoming Duan; Qiang Fu 016; Wei Yang 032; Jianping He 001; Mingfei Sun 001 (CoRR, 2023)

Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy Optimization. - Zichuan Lin; Xiapeng Wu; Mingfei Sun 001; Deheng Ye; Qiang Fu 016; Wei Yang 032; Wei Liu 005 (CoRR, 2023)

Trust-Region-Free Policy Optimization for Stochastic Policies. - Mingfei Sun 001; Benjamin Ellis; Anuj Mahajan; Sam Devlin; Katja Hofmann; Shimon Whiteson (CoRR, 2023)

CrowdPatrol: A Mobile Crowdsensing Framework for Traffic Violation Hotspot Patrolling. - Zhihan Jiang; Hang Zhu; Binbin Zhou; Chenhui Lu; Mingfei Sun 001; Xiaojuan Ma; Xiaoliang Fan; Cheng Wang 003; Longbiao Chen (IEEE Trans. Mob. Comput., 2023)

Modeling Adaptive Expression of Robot Learning Engagement and Exploring Its Effects on Human Teachers. - Shuai Ma; Mingfei Sun 001; Xiaojuan Ma (ACM Trans. Comput. Hum. Interact., 2023)

FARPLS: A Feature-Augmented Robot Trajectory Preference Labeling System to Assist Human Labelers' Preference Elicitation. - Hanfang Lyu; Yuanchen Bai; Xin Liang; Ujaan Das; Chuhan Shi; Leiliang Gong; Yingchi Li; Mingfei Sun 001; Ming Ge; Xiaojuan Ma (IUI, 2024)

Effective Generation of Feasible Solutions for Integer Programming via Guided Diffusion. - Hao Zeng; Jiaqi Wang; Avirup Das; Junying He; Kunpeng Han; Haoyuan Hu; Mingfei Sun 001 (KDD, 2024)

TTA-Nav: Test-time Adaptive Reconstruction for Point-Goal Navigation under Visual Corruptions. - Maytus Piriyajitakonkij; Mingfei Sun 001; Mengmi Zhang; Wei Pan 004 (CoRR, 2024)

DroneDiffusion: Robust Quadrotor Dynamics Learning with Diffusion Models. - Avirup Das; Rishabh Dev Yadav; Sihao Sun; Mingfei Sun 001; Samuel Kaski; Wei Pan 004 (CoRR, 2024)

LoKO: Low-Rank Kalman Optimizer for Online Fine-Tuning of Large Models. - Hossein Abdi; Mingfei Sun 001; Andi Zhang 001; Samuel Kaski; Wei Pan 004 (CoRR, 2024)

Agent-Temporal Credit Assignment for Optimal Policy Preservation in Sparse Multi-Agent Reinforcement Learning. - Aditya Kapoor; Sushant Swamy; Kale-ab Abebe Tessera; Mayank Baranwal; Mingfei Sun 001; Harshad Khadilkar; Stefano V. Albrecht (CoRR, 2024)

Correction: Investigating the Effects of Robot Engagement Communication on Learning from Demonstration. - Mingfei Sun 001; Zhenhui Peng; Meng Xia 002; Xiaojuan Ma (Int. J. Soc. Robotics, 2024)

Regularized Gradient Clipping Provably Trains Wide and Deep Neural Networks. - Matteo Tucat; Anirbit Mukherjee; Procheta Sen; Mingfei Sun 001; Omar Rivasplata (Trans. Mach. Learn. Res., 2025)

Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning. - Beining Zhang; Aditya Kapoor; Mingfei Sun 001 (CoRR, 2025)

Reinforcement Learning (RL) Meets Urban Climate Modeling: Investigating the Efficacy and Impacts of RL-Based HVAC Control. - Junjie Yu; John S. Schreck; David John Gagne; Keith W. Oleson; Jie Li; Yongtu Liang; Qi Liao 001; Mingfei Sun 001; David O. Topping; Zhonghua Zheng (CoRR, 2025)

From Grunts to Grammar: Emergent Language from Cooperative Foraging. - Maytus Piriyajitakonkij; Rujikorn Charakorn; Weicheng Tao; Wei Pan 004; Mingfei Sun 001; Cheston Tan; Mengmi Zhang (CoRR, 2025)