Junjie Sheng

According to our database, Junjie Sheng authored at least 23 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

TextAtari: 100K Frames Game Playing with Language Agents.

Wenhao Li, Wenwu Li, Chuyun Shen, Junjie Sheng, Zixiao Huang, Di Wu, Yun Hua, Wei Yin, Xiangfeng Wang, Hongyuan Zha, Bo Jin

CoRR, June, 2025

Agentic Episodic Control.

Xidong Yang, Wenhao Li, Junjie Sheng, Chuyun Shen, Yun Hua, Xiangfeng Wang

CoRR, June, 2025

Learning Virtual Machine Scheduling in Cloud Computing through Language Agents.

JieHao Wu, Ziwei Wang, Junjie Sheng, Wenhao Li, Xiangfeng Wang, Jun Luo

CoRR, May, 2025

Scalable Reinforcement Learning for Virtual Machine Scheduling.

Junjie Sheng, Jiehao Wu, Haochuan Cui, Yiqiu Hu, Wenli Zhou, Lei Zhu, Qian Peng, Wenhao Li, Xiangfeng Wang

CoRR, March, 2025

GraphThought: Graph Combinatorial Optimization with Thought Generation.

Zixiao Huang, Lifeng Guo, Junjie Sheng, Haosheng Chen, Wenhao Li, Bo Jin, Changhong Lu, Xiangfeng Wang

CoRR, February, 2025

WiseEDA: LLMs in RF Circuit Design.

Hangjiang Jin, Junchao Wang, Junjie Sheng, Yifan Wu, Jiayu Chen, Yaqi Wang, Jun Liu

Microelectron. J., 2025

Negotiated Reasoning: On Provably Addressing Relative Over-Generalization.

Junjie Sheng, Wenhao Li, Bo Jin, Hongyuan Zha, Jun Wang, Xiangfeng Wang

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Dynamic Conservative Degree Allocation for Offline Multi-Agent Reinforcement Learning.

Haosheng Chen, Yun Hua, Junjie Sheng, Wenhao Li, Bo Jin, Xiangfeng Wang

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

SolSearch: An LLM-Driven Framework for Efficient SAT-Solving Code Generation.

Junjie Sheng, Yanqiu Lin, Jiehao Wu, Yanhong Huang, Jianqi Shi, Min Zhang, Xiangfeng Wang

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Results, ICSE 2025 - NIER, Ottawa, ON, Canada, April 27, 2025

2024

Risk-aware Adaptive Virtual CPU Oversubscription in Microsoft Cloud via Prototypical Human-in-the-loop Imitation Learning.

Lu Wang, Mayukh Das, Fangkai Yang, Junjie Sheng, Bo Qiao, Hang Dong, Si Qin, Victor Rühle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

CoRR, 2024

2023

Can language agents be alternatives to PPO? A Preliminary Empirical Study On OpenAI Gym.

Junjie Sheng, Zixiao Huang, Chuyun Shen, Wenhao Li, Yun Hua, Bo Jin, Hongyuan Zha, Xiangfeng Wang

CoRR, 2023

Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning.

Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

Proceedings of the ACM Web Conference 2023, 2023

Learning Structured Communication for Multi-Agent Reinforcement Learning.

Junjie Sheng, Xiangfeng Wang, Bo Jin, Wenhao Li, Jun Wang, Junchi Yan, Tsung-Hui Chang, Hongyuan Zha

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Learning to schedule multi-NUMA virtual machines via reinforcement learning.

Junjie Sheng, Yiqiu Hu, Wenli Zhou, Lei Zhu, Bo Jin, Jun Wang, Xiangfeng Wang

Pattern Recognit., 2022

Obtaining Dyadic Fairness by Optimal Transport.

Moyi Yang, Junjie Sheng, Xiangfeng Wang, Wenyan Liu, Bo Jin, Jun Wang, Hongyuan Zha

CoRR, 2022

VMAgent: A Practical Virtual Machine Scheduling Platform.

Junjie Sheng, Shengliang Cai, Haochuan Cui, Wenhao Li, Yun Hua, Bo Jin, Wenli Zhou, Yiqiu Hu, Lei Zhu, Qian Peng, Hongyuan Zha, Xiangfeng Wang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Dealing with Non-Stationarity in MARL via Trust-Region Decomposition.

Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Hongyuan Zha

Proceedings of the Tenth International Conference on Learning Representations, 2022

Obtaining Dyadic Fairness by Optimal Transport.

Moyi Yang, Junjie Sheng, Wenyan Liu, Bo Jin, Xiaoling Wang, Xiangfeng Wang

Proceedings of the IEEE International Conference on Big Data, 2022

ReAssigner: A Plug-and-Play Virtual Machine Scheduling Intensifier for Heterogeneous Requests.

Haochuan Cui, Junjie Sheng, Bo Jin, Yiqiu Hu, Li Su, Lei Zhu, Wenli Zhou, Xiangfeng Wang

Proceedings of the IEEE International Conference on Big Data, 2022

2021

VMAgent: Scheduling Simulator for Reinforcement Learning.

Junjie Sheng, Shengliang Cai, Haochuan Cui, Wenhao Li, Yun Hua, Bo Jin, Wenli Zhou, Yiqiu Hu, Lei Zhu, Qian Peng, Hongyuan Zha, Xiangfeng Wang

CoRR, 2021

Dealing with Non-Stationarity in Multi-Agent Reinforcement Learning via Trust Region Decomposition.

Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Hongyuan Zha

CoRR, 2021

Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning.

Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Yun Hua, Hongyuan Zha

CoRR, 2021

Structured Diversification Emergence via Reinforced Organization Control and Hierachical Consensus Learning.

Wenhao Li, Xiangfeng Wang, Bo Jin, Junjie Sheng, Yun Hua, Hongyuan Zha

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021