Mingfei Sun - RankMe

59 papers A* 11A 2Journal 42Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CAAL: Confidence-Aware Active Learning for Heteroscedastic Atmospheric Regression. CoRR Fei Jiang, Jiyang Xia, Junjie Yu, Mingfei Sun, Hugh Coe, David Topping, Dantong Liu, Zhenhui Jessie Li, Zhonghua Zheng
2026	J	`jnl`	Gradient Regularized Natural Gradients. CoRR Satya Prakash Dash, Hossein Abdi, Wei Pan, Samuel Kaski, Mingfei Sun
2026	J	`jnl`	Rank-1 Approximation of Inverse Fisher for Natural Policy Gradients in Deep Reinforcement Learning. CoRR Yingxiao Huo, Satya Prakash Dash, Radu Stoican, Samuel Kaski, Mingfei Sun
2026	J	`jnl`	Rank-1 Approximation of Inverse Fisher for Natural Policy Gradients in Deep Reinforcement Learning. Trans. Mach. Learn. Res. Yingxiao Huo, Satya Prakash Dash, Radu Stoican, Samuel Kaski, Mingfei Sun
2025	A*	`conf`	Bayesian Natural Gradient Fine-Tuning of CLIP Models via Kalman Filtering. ICDM Hossein Abdi, Mingfei Sun, Wei Pan
2025	J	`jnl`	Bayesian Natural Gradient Fine-Tuning of CLIP Models via Kalman Filtering. CoRR Hossein Abdi, Mingfei Sun, Wei Pan
2025	A*	`conf`	DroneDiffusion: Robust Quadrotor Dynamics Learning with Diffusion Models. ICRA Avirup Das, Rishabh Dev Yadav, Sihao Sun, Mingfei Sun, Samuel Kaski, Wei Pan
2025	J	`jnl`	From Grunts to Grammar: Emergent Language from Cooperative Foraging. CoRR Maytus Piriyajitakonkij, Rujikorn Charakorn, Weicheng Tao, Wei Pan, Mingfei Sun, Cheston Tan, Mengmi Zhang
2025	J	`jnl`	Learning what to say and how precisely: Efficient Communication via Differentiable Discrete Communication Learning. CoRR Aditya Kapoor, Yash Bhisikar, Benjamin Freed, Jan Peters, Mingfei Sun
2025	J	`jnl`	Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning. CoRR Beining Zhang, Aditya Kapoor, Mingfei Sun
2025	J	`jnl`	Re-evaluating LLM-based Heuristic Search: A Case Study on the 3D Packing Problem. CoRR Guorui Quan, Mingfei Sun, Manuel López-Ibáñez
2025	J	`jnl`	Regularized Gradient Clipping Provably Trains Wide and Deep Neural Networks. Trans. Mach. Learn. Res. Matteo Tucat, Anirbit Mukherjee, Procheta Sen, Mingfei Sun, Omar Rivasplata
2025	J	`jnl`	Reinforcement Learning (RL) Meets Urban Climate Modeling: Investigating the Efficacy and Impacts of RL-Based HVAC Control. CoRR Junjie Yu, John S. Schreck, David John Gagne, Keith W. Oleson, Jie Li, Yongtu Liang, Qi Liao, Mingfei Sun, David O. Topping, Zhonghua Zheng
2025	J	`jnl`	Softly Constrained Denoisers for Diffusion Models. CoRR Victor M. Yeom-Song, Severi Rissanen, Arno Solin, Samuel Kaski, Mingfei Sun
2024	J	`jnl`	Agent-Temporal Credit Assignment for Optimal Policy Preservation in Sparse Multi-Agent Reinforcement Learning. CoRR Aditya Kapoor, Sushant Swamy, Kale-ab Abebe Tessera, Mayank Baranwal, Mingfei Sun, Harshad Khadilkar, Stefano V. Albrecht
2024	J	`jnl`	Correction: Investigating the Effects of Robot Engagement Communication on Learning from Demonstration. Int. J. Soc. Robotics Mingfei Sun, Zhenhui Peng, Meng Xia, Xiaojuan Ma
2024	J	`jnl`	DroneDiffusion: Robust Quadrotor Dynamics Learning with Diffusion Models. CoRR Avirup Das, Rishabh Dev Yadav, Sihao Sun, Mingfei Sun, Samuel Kaski, Wei Pan
2024	A*	`conf`	Effective Generation of Feasible Solutions for Integer Programming via Guided Diffusion. KDD Hao Zeng, Jiaqi Wang, Avirup Das, Junying He, Kunpeng Han, Haoyuan Hu, Mingfei Sun
2024	J	`jnl`	Effective Generation of Feasible Solutions for Integer Programming via Guided Diffusion. CoRR Hao Zeng, Jiaqi Wang, Avirup Das, Junying He, Kunpeng Han, Haoyuan Hu, Mingfei Sun
2024	A	`conf`	FARPLS: A Feature-Augmented Robot Trajectory Preference Labeling System to Assist Human Labelers' Preference Elicitation. IUI Hanfang Lyu, Yuanchen Bai, Xin Liang, Ujaan Das, Chuhan Shi, Leiliang Gong, Yingchi Li, Mingfei Sun, Ming Ge, Xiaojuan Ma
2024	J	`jnl`	FARPLS: A Feature-Augmented Robot Trajectory Preference Labeling System to Assist Human Labelers' Preference Elicitation. CoRR Hanfang Lyu, Yuanchen Bai, Xin Liang, Ujaan Das, Chuhan Shi, Leiliang Gong, Yingchi Li, Mingfei Sun, Ming Ge, Xiaojuan Ma
2024	J	`jnl`	LoKO: Low-Rank Kalman Optimizer for Online Fine-Tuning of Large Models. CoRR Hossein Abdi, Mingfei Sun, Andi Zhang, Samuel Kaski, Wei Pan
2024	J	`jnl`	TTA-Nav: Test-time Adaptive Reconstruction for Point-Goal Navigation under Visual Corruptions. CoRR Maytus Piriyajitakonkij, Mingfei Sun, Mengmi Zhang, Wei Pan
2023	—	`conf`	Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation. CoLLAs Massimiliano Patacchiola, Mingfei Sun, Katja Hofmann, Richard E. Turner
2023	J	`jnl`	Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation. CoRR Massimiliano Patacchiola, Mingfei Sun, Katja Hofmann, Richard E. Turner
2023	J	`jnl`	CrowdPatrol: A Mobile Crowdsensing Framework for Traffic Violation Hotspot Patrolling. IEEE Trans. Mob. Comput. Zhihan Jiang, Hang Zhu, Binbin Zhou, Chenhui Lu, Mingfei Sun, Xiaojuan Ma, Xiaoliang Fan, Cheng Wang, Longbiao Chen
2023	A*	`conf`	Imitating Human Behaviour with Diffusion Models. ICLR Tim Pearce, Tabish Rashid, Anssi Kanervisto, David Bignell, Mingfei Sun, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin
2023	J	`jnl`	Imitating Human Behaviour with Diffusion Models. CoRR Tim Pearce, Tabish Rashid, Anssi Kanervisto, David Bignell, Mingfei Sun, Raluca Georgescu, Sergio Valcarcel Macua, Shan Zheng Tan, Ida Momennejad, Katja Hofmann, Sam Devlin
2023	J	`jnl`	Modeling Adaptive Expression of Robot Learning Engagement and Exploring Its Effects on Human Teachers. ACM Trans. Comput. Hum. Interact. Shuai Ma, Mingfei Sun, Xiaojuan Ma
2023	J	`jnl`	Revisiting Estimation Bias in Policy Gradients for Deep Reinforcement Learning. CoRR Haoxuan Pan, Deheng Ye, Xiaoming Duan, Qiang Fu, Wei Yang, Jianping He, Mingfei Sun
2023	A*	`conf`	SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning. NeurIPS Benjamin Ellis, Jonathan Cook, Skander Moalla, Mikayel Samvelyan, Mingfei Sun, Anuj Mahajan, Jakob N. Foerster, Shimon Whiteson
2023	J	`jnl`	Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy Optimization. CoRR Zichuan Lin, Xiapeng Wu, Mingfei Sun, Deheng Ye, Qiang Fu, Wei Yang, Wei Liu
2023	A	`conf`	Trust Region Bounds for Decentralized PPO Under Non-stationarity. AAMAS Mingfei Sun, Sam Devlin, Jacob Beck, Katja Hofmann, Shimon Whiteson
2023	J	`jnl`	Trust-Region-Free Policy Optimization for Stochastic Policies. CoRR Mingfei Sun, Benjamin Ellis, Anuj Mahajan, Sam Devlin, Katja Hofmann, Shimon Whiteson
2022	A*	`conf`	Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency. AAAI Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson
2022	J	`jnl`	Generalization in Cooperative Multi-Agent Systems. CoRR Anuj Mahajan, Mikayel Samvelyan, Tarun Gupta, Benjamin Ellis, Mingfei Sun, Tim Rocktäschel, Shimon Whiteson
2022	—	`conf`	How Humans Perceive Human-like Behavior in Video Game Navigation. CHI Extended Abstracts 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
2022	J	`jnl`	Investigating the Effects of Robot Engagement Communication on Learning from Demonstration. Int. J. Soc. Robotics Mingfei Sun, Zhenhui Peng, Meng Xia, Xiaojuan Ma
2022	J	`jnl`	Monotonic Improvement Guarantees under Non-stationarity for Decentralized PPO. CoRR Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson
2022	J	`jnl`	SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning. CoRR Benjamin Ellis, Skander Moalla, Mikayel Samvelyan, Mingfei Sun, Anuj Mahajan, Jakob N. Foerster, Shimon Whiteson
2022	J	`jnl`	Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings. IEEE Trans. Neural Networks Learn. Syst. 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
2022	J	`jnl`	Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers. CoRR Micah Carroll, Jessy Lin, Orr Paradise, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew J. Hausknecht, Anca D. Dragan, Sam Devlin
2022	J	`jnl`	UniMASK: Unified Inference in Sequential Decision Problems. CoRR Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew J. Hausknecht, Anca D. Dragan, Sam Devlin
2022	A*	`conf`	Uni[MASK]: Unified Inference in Sequential Decision Problems. NeurIPS Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew J. Hausknecht, Anca D. Dragan, Sam Devlin
2022	J	`jnl`	You May Not Need Ratio Clipping in PPO. CoRR Mingfei Sun, Vitaly Kurin, Guoqing Liu, Sam Devlin, Tao Qin, Katja Hofmann, Shimon Whiteson
2021	J	`jnl`	Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency. CoRR Mingfei Sun, Sam Devlin, Katja Hofmann, Shimon Whiteson
2021	J	`jnl`	SoftDICE for Imitation Learning: Rethinking Off-policy Distribution Matching. CoRR Mingfei Sun, Anuj Mahajan, Katja Hofmann, Shimon Whiteson
2020	J	`jnl`	Investigating the Effects of Robot Engagement Communication on Learning from Demonstration. CoRR Mingfei Sun, Zhenhui Peng, Meng Xia, Xiaojuan Ma
2020	J	`jnl`	Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge? CoRR Christian Schröder de Witt, Tarun Gupta, Denys Makoviichuk, Viktor Makoviychuk, Philip H. S. Torr, Mingfei Sun, Shimon Whiteson
2020	A*	`conf`	Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. AAAI 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
2020	J	`jnl`	Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings. CoRR 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
2019	A*	`conf`	Adversarial Imitation Learning from Incomplete Demonstrations. IJCAI Mingfei Sun, Xiaojuan Ma
2019	J	`jnl`	Adversarial Imitation Learning from Incomplete Demonstrations. CoRR Mingfei Sun, Xiaojuan Ma
2019	J	`jnl`	Estimating Emotional Intensity from Body Poses for Human-Robot Interaction. CoRR Mingfei Sun, Yiqing Mou, Hongwen Xie, Meng Xia, Michelle Wong, Xiaojuan Ma
2019	J	`jnl`	Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. CoRR 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
2019	A*	`conf`	PeerLens: Peer-inspired Interactive Learning Path Planning in Online Question Pool. CHI Meng Xia, Mingfei Sun, Huan Wei, Qing Chen, Yong Wang, Lei Shi, Huamin Qu, Xiaojuan Ma
2018	—	`conf`	A neural-network-based investigation of eye-related movements for accurate drowsiness estimation. EMBC Mingfei Sun, Masanori Tsujikawa, Yoshifumi Onishi, Xiaojuan Ma, Atsushi Nishino, Satoshi Hashimoto
2017	A*	`conf`	Sensing and Handling Engagement Dynamics in Human-Robot Interaction Involving Peripheral Computing Devices. CHI Mingfei Sun, Zhenjie Zhao, Xiaojuan Ma
2016	—	`conf`	VideoForest: interactive visual summarization of video streams based on danmu data. SIGGRAPH Asia Symposium on Visualization Zhida Sun, Mingfei Sun, Nan Cao, Xiaojuan Ma