Shangding Gu

46 papers A* 5Journal 40Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
AgenticPay: A Multi-Agent LLM Negotiation System for Buyer-Seller Transactions.
CoRR
Xianyang Liu, Shangding Gu, Dawn Song
2026 J jnl
Long Context, Less Focus: A Scaling Gap in LLMs Revealed through Privacy and Personalization.
CoRR
Shangding Gu
2026 J jnl
Understanding Agent Scaling in LLM-Based Multi-Agent Systems via Diversity.
CoRR
Yingxuan Yang, Chengrui Qu, Muning Wen, Laixi Shi, Ying Wen, Weinan Zhang, Adam Wierman, Shangding Gu
2025 J jnl
AccidentBench: Benchmarking Multimodal Understanding and Reasoning in Vehicle Accidents and Beyond.
CoRR
Shangding Gu, Xiaohan Wang, Donghao Ying, Haoyu Zhao, Runing Yang, Ming Jin, Boyi Li, Marco Pavone, Serena Yeung-Levy, Jun Wang, Dawn Song, Costas J. Spanos
2025 J jnl
Agentic Web: Weaving the Next Web with AI Agents.
CoRR
Yingxuan Yang, Mulei Ma, Yuxuan Huang, Huacan Chai, Chenyu Gong, Haoran Geng, Yuanjian Zhou, Ying Wen, Meng Fang, Muhao Chen, Shangding Gu, Ming Jin, Costas J. Spanos, Yang Yang, Pieter Abbeel, Dawn Song, Weinan Zhang, Jun Wang
2025 J jnl
Data Uniformity Improves Training Efficiency and More, with a Convergence Framework Beyond the NTK Regime.
CoRR
Yuqing Wang, Shangding Gu
2025 J jnl
Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond.
CoRR
Shangding Gu, Donghao Ying, Ming Jin, Yu Joe Lu, Jun Wang, Javad Lavaei, Costas J. Spanos
2025 A* conf
MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation.
EMNLP
Weihao Xuan, Rui Yang, Heli Qi, Qingcheng Zeng, Yunze Xiao, Aosong Feng, Dairui Liu, Yun Xing, Junjue Wang, Fan Gao, Jinghui Lu, Yuang Jiang, Huitao Li, Xin Li, Kunyu Yu, Ruihai Dong, Shangding Gu, Yuekang Li, Xiaofei Xie, Felix Juefei-Xu, Foutse Khomh, Osamu Yoshie, Qingyu Chen, Douglas Teodoro, Nan Liu, Randy Goebel, Lei Ma, Edison Marrese-Taylor, Shijian Lu, Yusuke Iwasawa, Yutaka Matsuo, Irene Li
2025 J jnl
RLBenchNet: The Right Network for the Right Reinforcement Learning Task.
CoRR
Ivan Smirnov, Shangding Gu
2025 J jnl
ROSCOM: Robust Safe Reinforcement Learning on Stochastic Constraint Manifolds.
IEEE Trans Autom. Sci. Eng.
Shangding Gu, Puze Liu, Alap Kshirsagar, Guang Chen, Jan Peters, Alois Knoll
2025 J jnl
Reward-Safety Balance in Offline Safe RL via Diffusion Regularization.
CoRR
Junyu Guo, Zhi Zheng, Donghao Ying, Ming Jin, Shangding Gu, Costas J. Spanos, Javad Lavaei
2025 A* conf
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning.
ICLR
Shangding Gu, Laixi Shi, Muning Wen, Ming Jin, Eric Mazumdar, Yuejie Chi, Adam Wierman, Costas J. Spanos
2025 J jnl
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning.
CoRR
Shangding Gu, Laixi Shi, Muning Wen, Ming Jin, Eric Mazumdar, Yuejie Chi, Adam Wierman, Costas J. Spanos
2025 J jnl
Safe Continual Domain Adaptation after Sim2Real Transfer of Reinforcement Learning Policies in Robotics.
CoRR
Josip Josifovski, Shangding Gu, Mohammadhossein Malmir, Haoliang Huang, Sayantan Auddy, Nicolás Navarro-Guerrero, Costas J. Spanos, Alois Knoll
2025 J jnl
Safe Multiagent Reinforcement Learning With Bilevel Optimization in Autonomous Driving.
IEEE Trans. Artif. Intell.
Zhi Zheng, Shangding Gu
2025 J jnl
Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Alois Knoll, Ming Jin
2025 J jnl
Spreeze: High-Throughput Parallel Reinforcement Learning Framework.
IEEE Trans. Parallel Distributed Syst.
Jing Hou, Guang Chen, Ruiqi Zhang, Zhijun Li, Shangding Gu, Changjun Jiang
2025 J jnl
StyleBench: Evaluating thinking styles in Large Language Models.
CoRR
Junyu Guo, Shangding Gu, Ming Jin, Costas J. Spanos, Javad Lavaei
2024 J jnl
A Review of Safe Reinforcement Learning: Methods, Theories, and Applications.
IEEE Trans. Pattern Anal. Mach. Intell.
Shangding Gu, Long Yang, Yali Du, Guang Chen, Florian Walter, Jun Wang, Alois Knoll
2024 A* conf
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation.
AAAI
Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Ming Jin, Alois Knoll
2024 J jnl
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation.
CoRR
Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Ming Jin, Alois Knoll
2024 A* conf
Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation.
NeurIPS
Shangding Gu, Laixi Shi, Yuhao Ding, Alois Knoll, Costas J. Spanos, Adam Wierman, Ming Jin
2024 J jnl
Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation.
CoRR
Shangding Gu, Laixi Shi, Yuhao Ding, Alois Knoll, Costas J. Spanos, Adam Wierman, Ming Jin
2024 J jnl
Hybrid Residual Multiexpert Reinforcement Learning for Spatial Scheduling of High-Density Parking Lots.
IEEE Trans. Cybern.
Jing Hou, Guang Chen, Zhijun Li, Wei He, Shangding Gu, Alois Knoll, Changjun Jiang
2024 J jnl
Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey.
CoRR
Ruiqi Zhang, Jing Hou, Florian Walter, Shangding Gu, Jiayi Guan, Florian Röhrbein, Yali Du, Panpan Cai, Guang Chen, Alois Knoll
2024 J jnl
Mutual Enhancement of Large Language and Reinforcement Learning Models through Bi-Directional Feedback Mechanisms: A Case Study.
CoRR
Shangding Gu
2024 J jnl
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving.
CoRR
Zhi Zheng, Shangding Gu
2024 J jnl
Safe Multiagent Learning With Soft Constrained Policy Optimization in Real Robot Control.
IEEE Trans. Ind. Informatics
Shangding Gu, Dianye Huang, Muning Wen, Guang Chen, Alois Knoll
2024 J jnl
Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning.
CoRR
Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Alois Knoll, Ming Jin
2024 J jnl
TeaMs-RL: Teaching LLMs to Generate Better Instruction Datasets via Reinforcement Learning.
Trans. Mach. Learn. Res.
Shangding Gu, Alois Knoll, Ming Jin
2024 J jnl
TeaMs-RL: Teaching LLMs to Teach Themselves Better Instructions via Reinforcement Learning.
CoRR
Shangding Gu, Alois Knoll, Ming Jin
2024 J jnl
UAC: Offline Reinforcement Learning With Uncertain Action Constraint.
IEEE Trans. Cogn. Dev. Syst.
Jiayi Guan, Shangding Gu, Zhijun Li, Jing Hou, Yiqin Yang, Guang Chen, Changjun Jiang
2023 J jnl
A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors.
CoRR
Shangding Gu, Alap Kshirsagar, Yali Du, Guang Chen, Yaodong Yang, Jan Peters, Alois C. Knoll
2023 J jnl
A human-centered safe robot reinforcement learning framework with interactive behaviors.
Frontiers Neurorobotics
Shangding Gu, Alap Kshirsagar, Yali Du, Guang Chen, Jan Peters, Alois Knoll
2023 J jnl
SCPO: Safe Reinforcement Learning with Safety Critic Policy Optimization.
CoRR
Jaafar Mhamed, Shangding Gu
2023 J jnl
Safe multi-agent reinforcement learning for multi-robot control.
Artif. Intell.
Shangding Gu, Jakub Grudzien Kuba, Yuanpei Chen, Yali Du, Long Yang, Alois C. Knoll, Yaodong Yang
2023 J jnl
Spreeze: High-Throughput Parallel Reinforcement Learning Framework.
CoRR
Jing Hou, Guang Chen, Ruiqi Zhang, Zhijun Li, Shangding Gu, Changjun Jiang
2022 J jnl
A Circle Grid-based Approach for Obstacle Avoidance Motion Planning of Unmanned Surface Vehicles.
CoRR
Man Zhu, Changshi Xiao, Shangding Gu, Zhe Du, Yuanqiao Wen
2022 J jnl
A Review of Safe Reinforcement Learning: Methods, Theory and Applications.
CoRR
Shangding Gu, Long Yang, Yali Du, Guang Chen, Florian Walter, Jun Wang, Yaodong Yang, Alois C. Knoll
2022 J jnl
Constrained Reinforcement Learning for Vehicle Motion Planning with Topological Reachability Analysis.
Robotics
Shangding Gu, Guang Chen, Lijun Zhang, Jing Hou, Yingbai Hu, Alois C. Knoll
2022 J jnl
KAM-Net: Keypoint-Aware and Keypoint-Matching Network for Vehicle Detection From 2-D Point Cloud.
IEEE Trans. Artif. Intell.
Tianpei Zou, Guang Chen, Zhijun Li, Wei He, Sanqing Qu, Shangding Gu, Alois C. Knoll
2021 J jnl
Multi-Agent Constrained Policy Optimisation.
CoRR
Shangding Gu, Jakub Grudzien Kuba, Muning Wen, Ruiqing Chen, Ziyan Wang, Zheng Tian, Jun Wang, Alois C. Knoll, Yaodong Yang
2021 A* conf
Settling the Variance of Multi-Agent Policy Gradients.
NeurIPS
Jakub Grudzien Kuba, Muning Wen, Linghui Meng, Shangding Gu, Haifeng Zhang, David Mguni, Jun Wang, Yaodong Yang
2021 J jnl
Settling the Variance of Multi-Agent Policy Gradients.
CoRR
Jakub Grudzien Kuba, Muning Wen, Yaodong Yang, Linghui Meng, Shangding Gu, Haifeng Zhang, David Henry Mguni, Jun Wang
2020 — conf
Pole-based Localization for Autonomous Vehicles in Urban Scenarios Using Local Grid Map-based Method.
ICARM
Fan Lu, Guang Chen, Jinhu Dong, Xiaoding Yuan, Shangding Gu, Alois C. Knoll
2020 J jnl
The Review Unmanned Surface Vehicle Path Planning: Based on Multi-modality Constraint.
CoRR
Chunhui Zhou, Shangding Gu, Yuanqiao Wen, Zhe Du, Changshi Xiao, Liang Huang, Man Zhu