Wang, Xueqian

39 publications

TMLR 2026 Calibration Enhanced Decision Maker: Towards Trustworthy Sequential Decision-Making with Large Sequence Models Haoyuan Sun, Bo Xia, Yifu Luo, Tiantian Zhang, Xueqian Wang
ICLRW 2025 A Large Language Model-Driven Heterogeneous Air-Ground Search Swarm Jianzhuozhu, Xuran Pu, Jianjie Fang, Zhiyuan Deng, Xueqian Wang, Xinlei Chen
TMLR 2025 Are Large Language Models Really Robust to Word-Level Perturbations? Haoyu Wang, Guozheng Ma, Cong Yu, Ning Gui, Linrui Zhang, Zhiqi Huang, Suwei Ma, Yongzhe Chang, Sen Zhang, Li Shen, Xueqian Wang, Peilin Zhao, Dacheng Tao
TMLR 2025 Diffusion-RainbowPA: Improvements Integrated Preference Alignment for Diffusion-Based Text-to-Image Generation Haoyuan Sun, Bin Liang, Bo Xia, Jiaqi Wu, Yifei Zhao, Kai Qin, Yongzhe Chang, Xueqian Wang
ICLR 2025 Entropy-Based Activation Function Optimization: A Method on Searching Better Activation Functions Haoyuan Sun, Zihao Wu, Bo Xia, Pu Chang, Zibin Dong, Yifu Yuan, Yongzhe Chang, Xueqian Wang
ICLR 2025 FOSP: Fine-Tuning Offline Safe Policy Through World Models Chenyang Cao, Yucheng Xin, Silang Wu, Longxiang He, Zichen Yan, Junbo Tan, Xueqian Wang
AAAI 2025 Generalizing Alignment Paradigm of Text-to-Image Generation with Preferences Through F-Divergence Minimization Haoyuan Sun, Bo Xia, Yongzhe Chang, Xueqian Wang
WACV 2025 Global-Guided Focal Neural Radiance Field for Large-Scale Scene Rendering Mingqi Shao, Feng Xiong, Hang Zhang, Shuang Yang, Mu Xu, Wei Bian, Xueqian Wang
ICLRW 2025 Leveraging Reasoning with Guidelines to Elicit and Utilize Knowledge for Enhancing Safety Alignment Haoyu Wang, Zeyu Qin, Li Shen, Xueqian Wang, Minhao Cheng, Dacheng Tao
NeurIPS 2025 Lifelong Safety Alignment for Language Models Haoyu Wang, Yifei Zhao, Zeyu Qin, Chao Du, Min Lin, Xueqian Wang, Tianyu Pang
ICML 2025 Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer Yilun Kong, Guozheng Ma, Qi Zhao, Haoyu Wang, Li Shen, Xueqian Wang, Dacheng Tao
ICLRW 2025 Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer Yilun Kong, Guozheng Ma, Qi Zhao, Haoyu Wang, Li Shen, Xueqian Wang, Dacheng Tao
TMLR 2025 QPO: Query-Dependent Prompt Optimization via Multi-Loop Offline Reinforcement Learning Yilun Kong, Hangyu Mao, Zhao Qi, Bin Zhang, Jingqing Ruan, Li Shen, Yongzhe Chang, Xueqian Wang, Rui Zhao, Dacheng Tao
ICLRW 2025 Query-Dependent Prompt Optimization via Multi-Loop Offline Reinforcement Learning Yilun Kong, Hangyu Mao, Qi Zhao, Bin Zhang, Jingqing Ruan, Li Shen, Yongzhe Chang, Xueqian Wang, Rui Zhao, Dacheng Tao
NeurIPS 2025 Reinforcement Learning Meets Masked Generative Models: Mask-GRPO for Text-to-Image Generation Yifu Luo, Xinhao Hu, Keyu Fan, Haoyuan Sun, Zeyu Chen, Bo Xia, Tiantian Zhang, Yongzhe Chang, Xueqian Wang
NeurIPS 2025 Robust Policy Expansion for Offline-to-Online RL Under Diverse Data Corruption Longxiang He, Deheng Ye, Junbo Tan, Xueqian Wang, Li Shen
ICML 2025 Safety Reasoning with Guidelines Haoyu Wang, Zeyu Qin, Li Shen, Xueqian Wang, Dacheng Tao, Minhao Cheng
NeurIPSW 2024 A Method on Searching Better Activation Functions Haoyuan Sun, Zihao Wu, Bo Xia, Pu Chang, Zibin Dong, Yifu Yuan, Yongzhe Chang, Xueqian Wang
CVPR 2024 Decentralized Directed Collaboration for Personalized Federated Learning Yingqi Liu, Yifan Shi, Qinglun Li, Baoyuan Wu, Xueqian Wang, Li Shen
NeurIPSW 2024 Generalizing Alignment Paradigm of Text-to-Image Generation with Preferences Through $f$-Divergence Minimization Haoyuan Sun, Bo Xia, Yongzhe Chang, Xueqian Wang
ICMLW 2024 Generalizing Offline Alignment Theoretical Paradigm with Diverse Divergence Constraints Haoyuan Sun, Yuxin Zheng, Yifei Zhao, Yongzhe Chang, Xueqian Wang
ICLR 2024 Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages Guozheng Ma, Lu Li, Sen Zhang, Zixuan Liu, Zhen Wang, Yixin Chen, Li Shen, Xueqian Wang, Dacheng Tao
ICMLW 2024 Step-on-Feet Tuning: Scaling Self-Alignment of LLMs via Bootstrapping Haoyu Wang, Guozheng Ma, Ziqiao Meng, Zeyu Qin, Li Shen, Zhong Zhang, Bingzhe Wu, Liu Liu, Yatao Bian, Tingyang Xu, Xueqian Wang, Peilin Zhao
ICLRW 2024 TPTU-V2: Boosting Task Planning and Tool Usage of Large Language Model-Based Agents in Real-World Systems Yilun Kong, Jingqing Ruan, YiHong Chen, Bin Zhang, Tianpeng Bao, Shi Shiwei, Du Guo Qing, Xiaoru Hu, Hangyu Mao, Ziyue Li, Xingyu Zeng, Rui Zhao, Xueqian Wang
NeurIPSW 2023 Are Large Language Models Really Robust to Word-Level Perturbations? Haoyu Wang, Guozheng Ma, Cong Yu, Ning Gui, Linrui Zhang, Zhiqi Huang, Suwei Ma, Yongzhe Chang, Sen Zhang, Li Shen, Xueqian Wang, Peilin Zhao, Dacheng Tao
ICLR 2023 Curriculum-Based Co-Design of Morphology and Control of Voxel-Based Soft Robots Yuxing Wang, Shuang Wu, Haobo Fu, Qiang Fu, Tiantian Zhang, Yongzhe Chang, Xueqian Wang
TMLR 2023 Dynamics Adapted Imitation Learning Zixuan Liu, Liu Liu, Bingzhe Wu, Lanqing Li, Xueqian Wang, Bo Yuan, Peilin Zhao
AAAI 2023 Evaluating Model-Free Reinforcement Learning Toward Safety-Critical Tasks Linrui Zhang, Qin Zhang, Li Shen, Bo Yuan, Xueqian Wang, Dacheng Tao
ICML 2023 Improving the Model Consistency of Decentralized Federated Learning Yifan Shi, Li Shen, Kang Wei, Yan Sun, Bo Yuan, Xueqian Wang, Dacheng Tao
NeurIPS 2023 Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning Guozheng Ma, Linrui Zhang, Haoyu Wang, Lu Li, Zilin Wang, Zhen Wang, Li Shen, Xueqian Wang, Dacheng Tao
CVPR 2023 Make Landscape Flatter in Differentially Private Federated Learning Yifan Shi, Yingqi Liu, Kang Wei, Li Shen, Xueqian Wang, Dacheng Tao
CoRL 2023 PreCo: Enhancing Generalization in Co-Design of Modular Soft Robots via Brain-Body Pre-Training Yuxing Wang, Shuang Wu, Tiantian Zhang, Yongzhe Chang, Haobo Fu, Qiang Fu, Xueqian Wang
TMLR 2023 Replay-Enhanced Continual Reinforcement Learning Tiantian Zhang, Kevin Zehua Shen, Zichuan Lin, Bo Yuan, Xueqian Wang, Xiu Li, Deheng Ye
ICLRW 2023 SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning Qin Zhang, Linrui Zhang, Li Shen, Haoran Xu, Bowen Wang, Bo Yuan, Yongzhe Chang, Xueqian Wang
ICCV 2023 Transparent Shape from a Single View Polarization Image Mingqi Shao, Chongkun Xia, Zhendong Yang, Junnan Huang, Xueqian Wang
IJCAI 2022 Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning Zhecheng Yuan, Guozheng Ma, Yao Mu, Bo Xia, Bo Yuan, Xueqian Wang, Ping Luo, Huazhe Xu
IJCAI 2022 Penalized Proximal Policy Optimization for Safe Reinforcement Learning Linrui Zhang, Li Shen, Long Yang, Shixiang Chen, Xueqian Wang, Bo Yuan, Dacheng Tao
NeurIPS 2022 Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning Zhecheng Yuan, Zhengrong Xue, Bo Yuan, Xueqian Wang, Yi Wu, Yang Gao, Huazhe Xu
ICMLW 2022 Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning Zhecheng Yuan, Zhengrong Xue, Bo Yuan, Xueqian Wang, Yi Wu, Yang Gao, Huazhe Xu