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ORCIDMingfei Sun 0001
Person information
- affiliation: University of Manchester, UK
- affiliation (2020 - 2022): University of Oxford, UK
- affiliation (PhD 2020): Hong Kong University of Science and Technology, School of Engineering, Hong Kong
Other persons with the same name
- Mingfei Sun 0002 — Columbia University, Department of Electrical Engineering, New York, NY, USA
- Mingfei Sun 0003
![[0000-0003-1438-3973]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-1438-3973")
— Fudan University, School of Journalism, Shanghai, China
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2020 – today
- 2025
[i26]Beining Zhang, Aditya Kapoor, Mingfei Sun:
Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning. CoRR abs/2502.05573 (2025)- 2024
- [j5]Mingfei Sun, Zhenhui Peng, Meng Xia, Xiaojuan Ma:
Correction: Investigating the Effects of Robot Engagement Communication on Learning from Demonstration. Int. J. Soc. Robotics 16(7): 1707 (2024) - [c15]Hanfang Lyu, Yuanchen Bai, Xin Liang, Ujaan Das, Chuhan Shi, Leiliang Gong, Yingchi Li, Mingfei Sun, Ming Ge, Xiaojuan Ma:
FARPLS: A Feature-Augmented Robot Trajectory Preference Labeling System to Assist Human Labelers' Preference Elicitation. IUI 2024: 344-369 - [c14]Hao Zeng, Jiaqi Wang, Avirup Das, Junying He, Kunpeng Han, Haoyuan Hu, Mingfei Sun:
Effective Generation of Feasible Solutions for Integer Programming via Guided Diffusion. KDD 2024: 4107-4118 - [i25]Maytus Piriyajitakonkij, Mingfei Sun, Mengmi Zhang, Wei Pan:
TTA-Nav: Test-time Adaptive Reconstruction for Point-Goal Navigation under Visual Corruptions. CoRR abs/2403.01977 (2024) - [i24]Hanfang Lyu, Yuanchen Bai, Xin Liang, Ujaan Das, Chuhan Shi, Leiliang Gong, Yingchi Li, Mingfei Sun, Ming Ge, Xiaojuan Ma:
FARPLS: A Feature-Augmented Robot Trajectory Preference Labeling System to Assist Human Labelers' Preference Elicitation. CoRR abs/2403.06267 (2024) - [i23]Hao Zeng, Jiaqi Wang, Avirup Das, Junying He, Kunpeng Han, Haoyuan Hu, Mingfei Sun:
Effective Generation of Feasible Solutions for Integer Programming via Guided Diffusion. CoRR abs/2406.12349 (2024) - [i22]Avirup Das, Rishabh Dev Yadav, Sihao Sun, Mingfei Sun, Samuel Kaski, Wei Pan:
DroneDiffusion: Robust Quadrotor Dynamics Learning with Diffusion Models. CoRR abs/2409.11292 (2024) - [i21]Hossein Abdi, Mingfei Sun, Andi Zhang, Samuel Kaski, Wei Pan:
LoKO: Low-Rank Kalman Optimizer for Online Fine-Tuning of Large Models. CoRR abs/2410.11551 (2024) - [i20]Aditya Kapoor, Sushant Swamy, Kale-ab Abebe Tessera, Mayank Baranwal, Mingfei Sun, Harshad Khadilkar, Stefano V. Albrecht:
Agent-Temporal Credit Assignment for Optimal Policy Preservation in Sparse Multi-Agent Reinforcement Learning. CoRR abs/2412.14779 (2024) - 2023
- [j4]Zhihan Jiang, Hang Zhu, Binbin Zhou, Chenhui Lu, Mingfei Sun, Xiaojuan Ma, Xiaoliang Fan, Cheng Wang, Longbiao Chen:
CrowdPatrol: A Mobile Crowdsensing Framework for Traffic Violation Hotspot Patrolling. IEEE Trans. Mob. Comput. 22(3): 1401-1416 (2023) - [j3]Shuai Ma, Mingfei Sun, Xiaojuan Ma:
Modeling Adaptive Expression of Robot Learning Engagement and Exploring Its Effects on Human Teachers. ACM Trans. Comput. Hum. Interact. 30(5): 70:1-70:48 (2023) - [c13]Mingfei Sun, Sam Devlin, Jacob Beck, Katja Hofmann, Shimon Whiteson:
Trust Region Bounds for Decentralized PPO Under Non-stationarity. AAMAS 2023: 5-13 - [c12]Massimiliano Patacchiola, Mingfei Sun, Katja Hofmann, Richard E. Turner:
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation. CoLLAs 2023: 878-908 - [c11]Tim Pearce, Tabish Rashid, Anssi Kanervisto, David Bignell, Mingfei Sun, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin:
Imitating Human Behaviour with Diffusion Models. ICLR 2023 - [c10]Benjamin Ellis, Jonathan Cook, Skander Moalla, Mikayel Samvelyan, Mingfei Sun, Anuj Mahajan, Jakob N. Foerster, Shimon Whiteson:
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning. NeurIPS 2023 - [i19]Haoxuan Pan, Deheng Ye, Xiaoming Duan, Qiang Fu, Wei Yang, Jianping He, Mingfei Sun:
Revisiting Estimation Bias in Policy Gradients for Deep Reinforcement Learning. CoRR abs/2301.08442 (2023) - [i18]Tim Pearce, Tabish Rashid, Anssi Kanervisto, David Bignell, Mingfei Sun, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin:
Imitating Human Behaviour with Diffusion Models. CoRR abs/2301.10677 (2023) - [i17]Zichuan Lin, Xiapeng Wu, Mingfei Sun, Deheng Ye, Qiang Fu, Wei Yang, Wei Liu:
Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy Optimization. CoRR abs/2302.02299 (2023) - [i16]Mingfei Sun, Benjamin Ellis, Anuj Mahajan, Sam Devlin, Katja Hofmann, Shimon Whiteson:
Trust-Region-Free Policy Optimization for Stochastic Policies. CoRR abs/2302.07985 (2023) - [i15]Massimiliano Patacchiola, Mingfei Sun, Katja Hofmann, Richard E. Turner:
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation. CoRR abs/2306.13554 (2023) - 2022
- [j2]Mingfei Sun, Zhenhui Peng, Meng Xia, Xiaojuan Ma:
Investigating the Effects of Robot Engagement Communication on Learning from Demonstration. Int. J. Soc. Robotics 14(3): 789-806 (2022) - [j1]Deheng Ye, Guibin Chen, Peilin Zhao, Fuhao Qiu, Bo Yuan, Wen Zhang, Sheng Chen, Mingfei Sun, Xiaoqian Li, Siqin Li, Jing Liang, Zhenjie Lian, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang:
Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings. IEEE Trans. Neural Networks Learn. Syst. 33(3): 908-918 (2022) - [c9]Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson:
Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency. AAAI 2022: 8378-8385 - [c8]Evelyn Zuniga, Stephanie Milani, Guy Leroy, Jaroslaw Rzepecki, Raluca Georgescu, Ida Momennejad, David Bignell, Mingfei Sun, Alison Shaw, Gavin Costello, Mikhail Jacob, Sam Devlin, Katja Hofmann:
How Humans Perceive Human-like Behavior in Video Game Navigation. CHI Extended Abstracts 2022: 391:1-391:11 - [c7]Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew J. Hausknecht, Anca D. Dragan, Sam Devlin:
Uni[MASK]: Unified Inference in Sequential Decision Problems. NeurIPS 2022 - [i14]Mingfei Sun, Vitaly Kurin, Guoqing Liu, Sam Devlin, Tao Qin, Katja Hofmann, Shimon Whiteson:
You May Not Need Ratio Clipping in PPO. CoRR abs/2202.00079 (2022) - [i13]Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson:
Monotonic Improvement Guarantees under Non-stationarity for Decentralized PPO. CoRR abs/2202.00082 (2022) - [i12]Anuj Mahajan, Mikayel Samvelyan, Tarun Gupta, Benjamin Ellis, Mingfei Sun, Tim Rocktäschel, Shimon Whiteson:
Generalization in Cooperative Multi-Agent Systems. CoRR abs/2202.00104 (2022) - [i11]Micah Carroll, Jessy Lin, Orr Paradise, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew J. Hausknecht, Anca D. Dragan, Sam Devlin:
Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers. CoRR abs/2204.13326 (2022) - [i10]Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew J. Hausknecht, Anca D. Dragan, Sam Devlin:
UniMASK: Unified Inference in Sequential Decision Problems. CoRR abs/2211.10869 (2022) - [i9]Benjamin Ellis, Skander Moalla, Mikayel Samvelyan, Mingfei Sun, Anuj Mahajan, Jakob N. Foerster, Shimon Whiteson:
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2212.07489 (2022) - 2021
- [i8]Mingfei Sun, Anuj Mahajan, Katja Hofmann, Shimon Whiteson:
SoftDICE for Imitation Learning: Rethinking Off-policy Distribution Matching. CoRR abs/2106.03155 (2021) - [i7]Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson:
Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency. CoRR abs/2112.06054 (2021) - 2020
- [c6]Deheng Ye, Zhao Liu, Mingfei Sun, Bei Shi, Peilin Zhao, Hao Wu, Hongsheng Yu, Shaojie Yang, Xipeng Wu, Qingwei Guo, Qiaobo Chen, Yinyuting Yin, Hao Zhang, Tengfei Shi, Liang Wang, Qiang Fu, Wei Yang, Lanxiao Huang:
Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. AAAI 2020: 6672-6679 - [i6]Mingfei Sun, Zhenhui Peng, Meng Xia, Xiaojuan Ma:
Investigating the Effects of Robot Engagement Communication on Learning from Demonstration. CoRR abs/2005.01020 (2020) - [i5]Christian Schröder de Witt, Tarun Gupta, Denys Makoviichuk, Viktor Makoviychuk, Philip H. S. Torr, Mingfei Sun, Shimon Whiteson:
Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge? CoRR abs/2011.09533 (2020) - [i4]Deheng Ye, Guibin Chen, Peilin Zhao, Fuhao Qiu, Bo Yuan, Wen Zhang, Sheng Chen, Mingfei Sun, Xiaoqian Li, Siqin Li, Jing Liang, Zhenjie Lian, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang:
Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings. CoRR abs/2011.12582 (2020)
2010 – 2019
- 2019
- [c5]Meng Xia, Mingfei Sun, Huan Wei, Qing Chen, Yong Wang, Lei Shi, Huamin Qu, Xiaojuan Ma:
PeerLens: Peer-inspired Interactive Learning Path Planning in Online Question Pool. CHI 2019: 634 - [c4]Mingfei Sun, Xiaojuan Ma:
Adversarial Imitation Learning from Incomplete Demonstrations. IJCAI 2019: 3513-3519 - [i3]Mingfei Sun, Yiqing Mou, Hongwen Xie, Meng Xia, Michelle Wong, Xiaojuan Ma:
Estimating Emotional Intensity from Body Poses for Human-Robot Interaction. CoRR abs/1904.09435 (2019) - [i2]Mingfei Sun, Xiaojuan Ma:
Adversarial Imitation Learning from Incomplete Demonstrations. CoRR abs/1905.12310 (2019) - [i1]Deheng Ye, Zhao Liu, Mingfei Sun, Bei Shi, Peilin Zhao, Hao Wu, Hongsheng Yu, Shaojie Yang, Xipeng Wu, Qingwei Guo, Qiaobo Chen, Yinyuting Yin, Hao Zhang, Tengfei Shi, Liang Wang, Qiang Fu, Wei Yang, Lanxiao Huang:
Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. CoRR abs/1912.09729 (2019) - 2018
- [c3]Mingfei Sun, Masanori Tsujikawa, Yoshifumi Onishi, Xiaojuan Ma, Atsushi Nishino, Satoshi Hashimoto:
A neural-network-based investigation of eye-related movements for accurate drowsiness estimation. EMBC 2018: 5207-5210 - 2017
- [c2]Mingfei Sun, Zhenjie Zhao, Xiaojuan Ma:
Sensing and Handling Engagement Dynamics in Human-Robot Interaction Involving Peripheral Computing Devices. CHI 2017: 556-567 - 2016
- [c1]Zhida Sun, Mingfei Sun, Nan Cao, Xiaojuan Ma:
VideoForest: interactive visual summarization of video streams based on danmu data. SIGGRAPH Asia Symposium on Visualization 2016: 10:1-10:8
Coauthor Index
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