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ORCIDLei Song 0001
Person information
- affiliation (since 2020): Microsoft Research Asia, China
- affiliation (former): JD.com, China
- affiliation (former): Chinese Academy of Sciences, Institute of Software, State Key Laboratory of Computer Science, Beijing, China
- affiliation (former): University of Technology Sydney, Quantum Computation and Intelligent Systems, Australia
- affiliation (2012 - 2014): Saarland University, Department of Computer Science, Saarbrücken, Germany
- affiliation (2012 - 2014): Max Planck Institute for Informatics, Saarbrücken, Germany
- affiliation (2009 - 2012): IT University of Copenhagen, Denmark
- affiliation (2009 - 2012): Shanghai Jiao Tong University, China
Other persons with the same name
- Lei Song — disambiguation page
- Lei Song 0002 — Yahoo! Inc., Sunnyvale, CA, USA (and 1 more)
- Lei Song 0003
![[0000-0001-7108-2232]](/https://anthro-https-dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7108-2232")
— Tsinghua Shenzhen International Graduate School, Department of Automation, China - Lei Song 0004 — China University of Petroleum (East China), School of Geosciences, Qingdao, China
- Lei Song 0005 — Shanghai Jiao Tong University, School of Automation and Intelligent Sensing / School of Aeronautics and Astronautics, China
- Lei Song 0006 — Chinese Academy of Sciences, Institute of Acoustics, National Network New Media Engineering Research Center, Beijing, China (and 1 more)
- Lei Song 0007 — Dalian University of Technology, State Key Laboratory of High-Performance Precision Manufacturing, China
- Lei Song 0008 — Clark University, Graduate School of Geography, Worcester, MA, USA
- Lei Song 0009 — Liaoning University of Technology, College of Science, Jinzhou, China
- Lei Song 0010 — Northwest A&F University, College of Mechanical and Electronic Engineering, Yangling, China
- Lei Song 0011 — Chinese Academy of Sciences, Technology and Engineering Center for Space Utilization, Beijing, China (and 1 more)
- Lei Song 0012 — University of Science and Technology of China, School of Management, Hefei, China
- Lei Song 0013 — Southeast University, School of Computer Science and Engineering, Nanjing, China
Other persons with a similar name
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2020 – today
- 2026
[i37]Haitian Zhong, Jixiu Zhai, Lei Song, Jiang Bian, Qiang Liu, Tieniu Tan:
RC-GRPO: Reward-Conditioned Group Relative Policy Optimization for Multi-Turn Tool Calling Agents. CoRR abs/2602.03025 (2026)- [i36]Ziyue Wang, Linghan Cai, Chang Han Low, Haofeng Liu, Junde Wu, Jingyu Wang, Rui Wang, Lei Song, Jiang Bian, Jingjing Fu, Yueming Jin:
3DMedAgent: Unified Perception-to-Understanding for 3D Medical Analysis. CoRR abs/2602.18064 (2026) - [i35]Zizheng Zhang, Yiming Li, Justin Xu, Jinyu Wang, Rui Wang, Lei Song, Jiang Bian, David W. Eyre, Jingjing Fu:
MedFeat: Model-Aware and Explainability-Driven Feature Engineering with LLMs for Clinical Tabular Prediction. CoRR abs/2603.02221 (2026) - [i34]Yang Tian, Rui Wang, Xumeng Wen, Junjie Li, Shizhao Sun, Lei Song, Jiang Bian, Bo Zhao:
PBSD: Privileged Bayesian Self-Distillation for Long-Horizon Credit Assignment. CoRR abs/2606.09348 (2026) - [i33]Haolong Qian, Xianliang Yang, Yinuo ma, Lirong Che, Feng Lu, Ye Guo, Lei Song, Jiang Bian, Chun Yuan:
The Quality-Utility Paradox: Why High-Reward Data Impairs Small Model Mathematical Reasoning. CoRR abs/2606.16152 (2026) - 2025
- [j6]Zhihao Liu, Xianliang Yang, Zichuan Liu, Yifan Xia, Wei Jiang, Yuanyu Zhang, Lijuan Li, Guoliang Fan, Lei Song, Jiang Bian:
Knowing What Not to Do: Leverage Language Model Insights for Action Space Pruning in Multi-agent Reinforcement Learning. Trans. Mach. Learn. Res. 2025 (2025) - [c34]Wei Yang, Jingjing Fu, Rui Wang, Jinyu Wang, Lei Song, Jiang Bian:
OMGM: Orchestrate Multiple Granularities and Modalities for Efficient Multimodal Retrieval. ACL (1) 2025: 24545-24563 - [c33]Ruohong Liu, Yuxin Pan, Linjie Xu, Lei Song, Pengcheng You, Yize Chen, Jiang Bian:
Efficient Discovery of Pareto Front for Multi-Objective Reinforcement Learning. ICLR 2025 - [c32]Jinyu Wang, Jingjing Fu, Rui Wang, Lei Song, Jiang Bian:
From Complex to Atomic: Enhancing Augmented Generation via Knowledge-Aware Dual Rewriting and Reasoning. ICML 2025 - [c31]Wenhao Zhao, Qiushui Xu, Linjie Xu, Lei Song, Jinyu Wang, Chunlai Zhou, Jiang Bian:
Unveiling Markov heads in Pretrained Language Models for Offline Reinforcement Learning. ICML 2025 - [c30]Zijian Li, Jingjing Fu, Lei Song, Jiang Bian, Jun Zhang, Rui Wang:
Chain of Functions: A Programmatic Pipeline for Fine-Grained Chart Reasoning Data Generation. IJCNLP-AACL (long papers) 2025: 200-234 - [c29]Zijian Li, Qingyan Guo, Jiawei Shao, Lei Song, Jiang Bian, Jun Zhang, Rui Wang:
Graph Neural Network Enhanced Retrieval for Question Answering of Large Language Models. NAACL (Long Papers) 2025: 6612-6633 - [c28]Haolong Qian, Xianliang Yang, Ling Zhang, Lei Song, Jiang Bian, Chun Yuan:
NaDRO: Leveraging Dual-Reward Strategies for LLMs Training on Noisy Data. NeurIPS 2025 - [i32]Jinyu Wang, Jingjing Fu, Rui Wang, Lei Song, Jiang Bian:
PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation. CoRR abs/2501.11551 (2025) - [i31]Zijian Li, Jingjing Fu, Lei Song, Jiang Bian, Jun Zhang, Rui Wang:
Chain of Functions: A Programmatic Pipeline for Fine-Grained Chart Reasoning Data. CoRR abs/2503.16260 (2025) - [i30]Wei Yang, Jingjing Fu, Rui Wang, Jinyu Wang, Lei Song, Jiang Bian:
OMGM: Orchestrate Multiple Granularities and Modalities for Efficient Multimodal Retrieval. CoRR abs/2505.07879 (2025) - [i29]Zichuan Liu, Jinyu Wang, Lei Song, Jiang Bian:
Sample-efficient LLM Optimization with Reset Replay. CoRR abs/2508.06412 (2025) - [i28]Yu Gu, Jingjing Fu, Xiaodong Liu, Jeya Maria Jose Valanarasu, Noel C. F. Codella, Reuben Tan, Qianchu Liu, Ying Jin, Sheng Zhang, Jinyu Wang, Rui Wang, Lei Song, Guanghui Qin, Naoto Usuyama, Cliff Wong, Hao Cheng, Ho Hin Lee, Praneeth Sanapathi, Sarah Hilado, Jiang Bian, Javier Alvarez-Valle, Mu Wei, Khalil Malik, Jianfeng Gao, Eric Horvitz, Matthew P. Lungren, Hoifung Poon, Paul Vozila:
The Illusion of Readiness: Stress Testing Large Frontier Models on Multimodal Medical Benchmarks. CoRR abs/2509.18234 (2025) - [i27]Qiushui Xu, Yuhao Huang, Yushu Jiang, Lei Song, Jinyu Wang, Wenliang Zheng, Jiang Bian:
In-Context Compositional Q-Learning for Offline Reinforcement Learning. CoRR abs/2509.24067 (2025) - [i26]Shuoshuo Zhang, Zijian Li, Yizhen Zhang, Jingjing Fu, Lei Song, Jiang Bian, Jun Zhang, Yujiu Yang, Rui Wang:
PixelCraft: A Multi-Agent System for High-Fidelity Visual Reasoning on Structured Images. CoRR abs/2509.25185 (2025) - [i25]Dong Bok Lee, Seanie Lee, Sangwoo Park, Minki Kang, Jinheon Baek, Dongki Kim, Dominik Wagner, Jiongdao Jin, Heejun Lee, Tobias Bocklet, Jinyu Wang, Jingjing Fu, Sung Ju Hwang, Jiang Bian, Lei Song:
Rethinking Reward Models for Multi-Domain Test-Time Scaling. CoRR abs/2510.00492 (2025) - [i24]Sijia Li, Yuchen Huang, Zifan Liu, Zijian Li, Jingjing Fu, Lei Song, Jiang Bian, Jun Zhang, Rui Wang:
SIT-Graph: State Integrated Tool Graph for Multi-Turn Agents. CoRR abs/2512.07287 (2025) - [i23]Shuoshuo Zhang, Yizhen Zhang, Jingjing Fu, Lei Song, Jiang Bian, Yujiu Yang, Rui Wang:
See Less, See Right: Bi-directional Perceptual Shaping For Multimodal Reasoning. CoRR abs/2512.22120 (2025) - 2024
- [j5]Linjie Xu, Zhengyao Jiang, Jinyu Wang, Lei Song, Jiang Bian:
Mildly Constrained Evaluation Policy for Offline Reinforcement Learning. Trans. Mach. Learn. Res. 2024 (2024) - [c27]Yunseon Choi, Sangmin Bae, Seonghyun Ban, Minchan Jeong, Chuheng Zhang, Lei Song, Li Zhao, Jiang Bian, Kee-Eung Kim:
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL. ACL (1) 2024: 8252-8271 - [c26]Linjie Xu, Zichuan Liu, Alexander Dockhorn, Diego Perez Liebana, Jinyu Wang, Lei Song, Jiang Bian:
Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning. CoG 2024: 1-8 - [c25]Chuheng Zhang, Xiangsen Wang, Wei Jiang, Xianliang Yang, Siwei Wang, Lei Song, Jiang Bian:
Whittle Index with Multiple Actions and State Constraint for Inventory Management. ICLR 2024 - [c24]Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera, Farhad Shirani, Dongsheng Luo:
TimeX++: Learning Time-Series Explanations with Information Bottleneck. ICML 2024: 32062-32082 - [c23]Yifan Xia, Xianliang Yang, Zichuan Liu, Zhihao Liu, Lei Song, Jiang Bian:
Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems. ICML 2024: 54178-54190 - [c22]Yunseon Choi, Li Zhao, Chuheng Zhang, Lei Song, Jiang Bian, Kee-Eung Kim:
Diversification of Adaptive Policy for Effective Offline Reinforcement Learning. IJCAI 2024: 3863-3871 - [c21]Zichuan Liu, Zefan Wang, Linjie Xu, Jinyu Wang, Lei Song, Tianchun Wang, Chunlin Chen, Wei Cheng, Jiang Bian:
Protecting Your LLMs with Information Bottleneck. NeurIPS 2024 - [i22]Linjie Xu, Zichuan Liu, Alexander Dockhorn, Diego Perez Liebana, Jinyu Wang, Lei Song, Jiang Bian:
Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning. CoRR abs/2404.09715 (2024) - [i21]Zichuan Liu, Zefan Wang, Linjie Xu, Jinyu Wang, Lei Song, Tianchun Wang, Chunlin Chen, Wei Cheng, Jiang Bian:
Protecting Your LLMs with Information Bottleneck. CoRR abs/2404.13968 (2024) - [i20]Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera, Farhad Shirani, Dongsheng Luo:
TimeX++: Learning Time-Series Explanations with Information Bottleneck. CoRR abs/2405.09308 (2024) - [i19]Zhihao Liu, Xianliang Yang, Zichuan Liu, Yifan Xia, Wei Jiang, Yuanyu Zhang, Lijuan Li, Guoliang Fan, Lei Song, Jiang Bian:
Knowing What Not to Do: Leverage Language Model Insights for Action Space Pruning in Multi-agent Reinforcement Learning. CoRR abs/2405.16854 (2024) - [i18]Yifan Xia, Xianliang Yang, Zichuan Liu, Zhihao Liu, Lei Song, Jiang Bian:
Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems. CoRR abs/2406.03503 (2024) - [i17]Zijian Li, Qingyan Guo, Jiawei Shao, Lei Song, Jiang Bian, Jun Zhang, Rui Wang:
Graph Neural Network Enhanced Retrieval for Question Answering of LLMs. CoRR abs/2406.06572 (2024) - [i16]Yunseon Choi, Sangmin Bae, Seonghyun Ban, Minchan Jeong, Chuheng Zhang, Lei Song, Li Zhao, Jiang Bian, Kee-Eung Kim:
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL. CoRR abs/2407.14733 (2024) - [i15]Wenhao Zhao, Qiushui Xu, Linjie Xu, Lei Song, Jinyu Wang, Chunlai Zhou, Jiang Bian:
Enhancing Cross-domain Pre-Trained Decision Transformers with Adaptive Attention. CoRR abs/2409.06985 (2024) - [i14]Ruohong Liu, Yuxin Pan, Linjie Xu, Lei Song, Pengcheng You, Yize Chen, Jiang Bian:
C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front. CoRR abs/2410.02236 (2024) - 2023
- [j4]Chen Fu, Andrea Turrini, Xiaowei Huang, Lei Song, Yuan Feng, Lijun Zhang:
Model Checking for Probabilistic Multiagent Systems. J. Comput. Sci. Technol. 38(5): 1162-1186 (2023) - [c20]Yan Jin, Yuandong Ding, Xuanhao Pan, Kun He, Li Zhao, Tao Qin, Lei Song, Jiang Bian:
Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem. AAAI 2023: 8132-8140 - [c19]Xuanhao Pan, Yan Jin, Yuandong Ding, Mingxiao Feng, Li Zhao, Lei Song, Jiang Bian:
H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman Problem. AAAI 2023: 9345-9353 - [c18]Jinpeng Zhang, Yufeng Zheng, Chuheng Zhang, Li Zhao, Lei Song, Yuan Zhou, Jiang Bian:
Robust Situational Reinforcement Learning in Face of Context Disturbances. ICML 2023: 41973-41989 - [i13]Xuanhao Pan, Yan Jin, Yuandong Ding, Mingxiao Feng, Li Zhao, Lei Song, Jiang Bian:
H-TSP: Hierarchically Solving the Large-Scale Travelling Salesman Problem. CoRR abs/2304.09395 (2023) - [i12]Yan Jin, Yuandong Ding, Xuanhao Pan, Kun He, Li Zhao, Tao Qin, Lei Song, Jiang Bian:
Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem. CoRR abs/2304.09407 (2023) - [i11]Linjie Xu, Zhengyao Jiang, Jinyu Wang, Lei Song, Jiang Bian:
Mildly Constrained Evaluation Policy for Offline Reinforcement Learning. CoRR abs/2306.03680 (2023) - [i10]Xianliang Yang, Zhihao Liu, Wei Jiang, Chuheng Zhang, Li Zhao, Lei Song, Jiang Bian:
A Versatile Multi-Agent Reinforcement Learning Benchmark for Inventory Management. CoRR abs/2306.07542 (2023) - [i9]Lei Song, Chuheng Zhang, Li Zhao, Jiang Bian:
Pre-Trained Large Language Models for Industrial Control. CoRR abs/2308.03028 (2023) - 2022
- [c17]Yuanying Cai, Chuheng Zhang, Li Zhao, Wei Shen, Xuyun Zhang, Lei Song, Jiang Bian, Tao Qin, Tieyan Liu:
TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets. ICDM 2022: 21-30 - [i8]Yuanying Cai, Chuheng Zhang, Li Zhao, Wei Shen, Xuyun Zhang, Lei Song, Jiang Bian, Tao Qin, Tieyan Liu:
TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets. CoRR abs/2212.02125 (2022) - [i7]Yuandong Ding, Mingxiao Feng, Guozi Liu, Wei Jiang, Chuheng Zhang, Li Zhao, Lei Song, Houqiang Li, Yan Jin, Jiang Bian:
Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management. CoRR abs/2212.07684 (2022)
2010 – 2019
- 2018
- [j3]Lijun Zhang, Pengfei Yang, Lei Song, Holger Hermanns, Christian Eisentraut, David N. Jansen, Jens Chr. Godskesen:
Probabilistic bisimulation for realistic schedulers. Acta Informatica 55(6): 461-488 (2018) - [c16]Chen Fu, Andrea Turrini, Xiaowei Huang, Lei Song, Yuan Feng, Lijun Zhang:
Model Checking Probabilistic Epistemic Logic for Probabilistic Multiagent Systems. IJCAI 2018: 4757-4763 - 2016
- [c15]Vahid Hashemi, Holger Hermanns, Lei Song, K. Subramani, Andrea Turrini, Piotr Wojciechowski:
Compositional Bisimulation Minimization for Interval Markov Decision Processes. LATA 2016: 114-126 - [c14]Yong Li, Lei Song, Yuan Feng, Lijun Zhang:
Verify LTL with Fairness Assumptions Efficiently. TIME 2016: 41-50 - [c13]Vahid Hashemi, Holger Hermanns, Lei Song:
Reward-Bounded Reachability Probability for Uncertain Weighted MDPs. VMCAI 2016: 351-371 - [i6]Yong Li, Lei Song, Yuan Feng, Lijun Zhang:
Verify LTL with Fairness Assumptions Efficiently. CoRR abs/1606.08116 (2016) - 2015
- [c12]Lei Song, Yuan Feng, Lijun Zhang:
Decentralized Bisimulation for Multiagent Systems. AAMAS 2015: 209-217 - [c11]Christian Eisentraut, Jens Chr. Godskesen, Holger Hermanns, Lei Song, Lijun Zhang:
Probabilistic Bisimulation for Realistic Schedulers. FM 2015: 248-264 - [c10]Wanwei Liu, Lei Song, Ji Wang, Lijun Zhang:
A Simple Probabilistic Extension of Modal Mu-calculus. IJCAI 2015: 882-888 - [c9]Lei Song, Yuan Feng, Lijun Zhang:
Planning for Stochastic Games with Co-Safe Objectives. IJCAI 2015: 1682-1688 - [i5]Wanwei Liu, Lei Song, Ji Wang, Lijun Zhang:
A Simple Probabilistic Extension of Modal Mu-calculus. CoRR abs/1504.07737 (2015) - [i4]Yuan Feng, Lei Song, Lijun Zhang:
Distribution-based Bisimulation and Bisimulation Metric in Probabilistic Automata. CoRR abs/1512.05027 (2015) - 2014
- [j2]Lei Song, Lijun Zhang, Holger Hermanns, Jens Chr. Godskesen:
Incremental Bisimulation Abstraction Refinement. ACM Trans. Embed. Comput. Syst. 13(4s): 142:1-142:23 (2014) - [c8]Joost-Pieter Katoen, Lei Song, Lijun Zhang:
Probably safe or live. CSL-LICS 2014: 55:1-55:10 - [c7]Lei Song, Lijun Zhang, Jens Chr. Godskesen:
Bisimulations and Logical Characterizations on Continuous-Time Markov Decision Processes. VMCAI 2014: 98-117 - [i3]Joost-Pieter Katoen, Lei Song, Lijun Zhang:
Probably Safe or Live. CoRR abs/1401.7171 (2014) - 2013
- [j1]Lei Song, Lijun Zhang, Jens Chr. Godskesen:
Bisimulations Meet PCTL Equivalences for Probabilistic Automata. Log. Methods Comput. Sci. 9(2) (2013) - [c6]Lei Song, Lijun Zhang, Holger Hermanns, Jens Chr. Godskesen:
Incremental Bisimulation Abstraction Refinement. ACSD 2013: 11-20 - [c5]David N. Jansen, Lei Song, Lijun Zhang:
Revisiting Weak Simulation for Substochastic Markov Chains. QEST 2013: 209-224 - 2012
- [c4]Lei Song, Jens Chr. Godskesen:
Broadcast Abstraction in a Stochastic Calculus for Mobile Networks. IFIP TCS 2012: 342-356 - [i2]Lei Song, Lijun Zhang, Jens Chr. Godskesen:
Late Weak Bisimulation for Markov Automata. CoRR abs/1202.4116 (2012) - [i1]Lei Song, Lijun Zhang, Jens Chr. Godskesen:
The Branching Time Spectrum for Continuous-time MDPs. CoRR abs/1204.1848 (2012) - 2011
- [c3]Lei Song, Lijun Zhang, Jens Chr. Godskesen:
Bisimulations Meet PCTL Equivalences for Probabilistic Automata. CONCUR 2011: 108-123 - [c2]Lei Song, Flemming Nielson, Bo Friis Nielsen:
A Stochastic Broadcast Pi-Calculus. QAPL 2011: 74-88 - 2010
- [c1]Lei Song, Jens Chr. Godskesen:
Probabilistic Mobility Models for Mobile and Wireless Networks. IFIP TCS 2010: 86-100
Coauthor Index
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