Shangding Gu

5 papers at tracked venues · 4 at CORE A* · active 2024–2025

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Venues

NeurIPS ×2 AAAI ×1 EMNLP ×1 ICLR ×1

Frequent coauthors

Ming Jin

×4

Costas J. Spanos

×3

Laixi Shi

×2

Adam Wierman

×2

Yuhao Ding

×2

Alois Knoll

×2

Junyu Guo

×1

Zhi Zheng

×1

Donghao Ying

×1

Javad Lavaei

×1

Weihao Xuan

×1

Rui Yang

×1

Papers

Don't Trade Off Safety: Diffusion Regularization for Constrained Offline RL
NeurIPS 2025 ·
Junyu Guo
,
Zhi Zheng
,
Donghao Ying
,
Ming Jin
, Shangding Gu,
Costas J. Spanos
,
Javad Lavaei
MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation
EMNLP 2025 ·
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
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning
ICLR 2025 · Shangding Gu,
Laixi Shi
,
Muning Wen
,
Ming Jin
,
Eric Mazumdar
,
Yuejie Chi
,
Adam Wierman
,
Costas J. Spanos
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation
AAAI 2024 · Shangding Gu,
Bilgehan Sel
,
Yuhao Ding
,
Lu Wang
,
Qingwei Lin
,
Ming Jin
,
Alois Knoll
Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation
NeurIPS 2024 · Shangding Gu,
Laixi Shi
,
Yuhao Ding
,
Alois Knoll
,
Costas J. Spanos
,
Adam Wierman
,
Ming Jin