Chang, Yongzhe

15 publications

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

AAAI 2025 Generalizing Alignment Paradigm of Text-to-Image Generation with Preferences Through F-Divergence Minimization Haoyuan Sun, Bo Xia, Yongzhe Chang, Xueqian Wang

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

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

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

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

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

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

IJCAI 2020 A Dual Input-Aware Factorization Machine for CTR Prediction Wantong Lu, Yantao Yu, Yongzhe Chang, Zhen Wang, Chenhui Li, Bo Yuan