Yongzhe Chang - RankMe

42 papers A* 4A 1B 3Misc 3Journal 25Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Co-Evolutionary Multi-Modal Alignment via Structured Adversarial Evolution. CoRR Guoxin Shi, Haoyu Wang, Zaihui Yang, Yuxing Wang, Yongzhe Chang
2026	J	`jnl`	Tacit mechanism: Bridging pre-training of individuality to multi-agent adversarial coordination. Neural Networks Shiqing Yao, Jiajun Chai, Haixin Yu, Yongzhe Chang, Tian-Tian Zhang, Yuanheng Zhu, Xueqian Wang
2025	J	`jnl`	Are Large Language Models Really Robust to Word-Level Perturbations? Trans. Mach. Learn. Res. 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
2025	J	`jnl`	Diffusion-RainbowPA: Improvements Integrated Preference Alignment for Diffusion-based Text-to-Image Generation. Trans. Mach. Learn. Res. Haoyuan Sun, Bin Liang, Bo Xia, JiaQi Wu, Yifei Zhao, Kai Qin, Yongzhe Chang, Xueqian Wang
2025	J	`jnl`	Distribution Preference Optimization: A Fine-grained Perspective for LLM Unlearning. CoRR Kai Qin, JiaQi Wu, Jianxiang He, Haoyuan Sun, Yifei Zhao, Bin Liang, Yongzhe Chang, Tiantian Zhang, Houde Liu
2025	J	`jnl`	Embodied Co-Design for Rapidly Evolving Agents: Taxonomy, Frontiers, and Challenges. CoRR Yuxing Wang, Zhiyu Chen, Tiantian Zhang, Qiyue Yin, Yongzhe Chang, Zhiheng Li, Liang Wang, Xueqian Wang
2025	A*	`conf`	Entropy-based Activation Function Optimization: A Method on Searching Better Activation Functions. ICLR Haoyuan Sun, Zihao Wu, Bo Xia, Pu Chang, Zibin Dong, Yifu Yuan, Yongzhe Chang, Xueqian Wang
2025	A*	`conf`	Generalizing Alignment Paradigm of Text-to-Image Generation with Preferences Through f-Divergence Minimization. AAAI Haoyuan Sun, Bo Xia, Yongzhe Chang, Xueqian Wang
2025	Misc	`conf`	Identical Human Preference Alignment Paradigm for Text-to-Image Models. ICASSP Haoyuan Sun, Bo Xia, Yifei Zhao, Yongzhe Chang, Xueqian Wang
2025	—	`conf`	Large Language Model Based Multi-agent Learning for Mixed Cooperative-Competitive Environments. NLPCC (1) Chenghua He, Qiyue Yin, Yongzhe Chang, Tongtong Yu
2025	A	`conf`	Learning Pre-Trained Tacit Behavior for Efficient Multi-Agent Adversarial Coordination. AAMAS Shiqing Yao, Jiajun Chai, Haixin Yu, Yongzhe Chang, Yuanheng Zhu, Xueqian Wang
2025	Misc	`conf`	Positive Enhanced Preference Alignment for Text-to-Image Models. ICASSP Haoyuan Sun, Bo Xia, Yifei Zhao, Yongzhe Chang, Xueqian Wang
2025	J	`jnl`	QPO: Query-dependent Prompt Optimization via Multi-Loop Offline Reinforcement Learning. Trans. Mach. Learn. Res. Yilun Kong, Hangyu Mao, Qi Zhao, Bin Zhang, Jingqing Ruan, Li Shen, Yongzhe Chang, Xueqian Wang, Rui Zhao, Dacheng Tao
2025	J	`jnl`	Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models. CoRR Haoyuan Sun, JiaQi Wu, Bo Xia, Yifu Luo, Yifei Zhao, Kai Qin, Xufei Lv, Tiantian Zhang, Yongzhe Chang, Xueqian Wang
2025	J	`jnl`	Reinforcement Learning Meets Masked Generative Models: Mask-GRPO for Text-to-Image Generation. CoRR Yifu Luo, Xinhao Hu, Keyu Fan, Haoyuan Sun, Zeyu Chen, Bo Xia, Tiantian Zhang, Yongzhe Chang, Xueqian Wang
2025	J	`jnl`	Sample By Step, Optimize By Chunk: Chunk-Level GRPO For Text-to-Image Generation. CoRR Yifu Luo, Penghui Du, Bo Li, Sinan Du, Tiantian Zhang, Yongzhe Chang, Kai Wu, Kun Gai, Xueqian Wang
2025	J	`jnl`	UACER: An Uncertainty-Aware Critic Ensemble Framework for Robust Adversarial Reinforcement Learning. CoRR Jiaxi Wu, Tiantian Zhang, Yuxing Wang, Yongzhe Chang, Xueqian Wang
2025	J	`jnl`	Wavelet Fourier Diffuser: Frequency-Aware Diffusion Model for Reinforcement Learning. CoRR Yifu Luo, Yongzhe Chang, Xueqian Wang
2024	J	`jnl`	A Method on Searching Better Activation Functions. CoRR Haoyuan Sun, Zihao Wu, Bo Xia, Pu Chang, Zibin Dong, Yifu Yuan, Yongzhe Chang, Xueqian Wang
2024	—	`conf`	A Multi-Agent Behaviour Generation Algorithm Framework Used for Flexible Historical State Lengths. ROBIO Chen Zhong, Linrui Zhang, Bo Xia, Yongzhe Chang, Xueqian Wang
2024	B	`conf`	D3D: Conditional Diffusion Model for Decision-Making Under Random Frame Dropping. RO-MAN Bo Xia, Yifu Luo, Yongzhe Chang, Bo Yuan, Zhiheng Li, Xueqian Wang
2024	J	`jnl`	DEER: A Delay-Resilient Framework for Reinforcement Learning with Variable Delays. CoRR Bo Xia, Yilun Kong, Yongzhe Chang, Bo Yuan, Zhiheng Li, Xueqian Wang, Bin Liang
2024	J	`jnl`	Generalizing Alignment Paradigm of Text-to-Image Generation with Preferences through CoRR Haoyuan Sun, Bo Xia, Yongzhe Chang, Xueqian Wang
2024	J	`jnl`	Morphology and Behavior Co-Optimization of Modular Satellites for Attitude Control. CoRR Yuxing Wang, Jie Li, Cong Yu, Xinyang Li, Simeng Huang, Yongzhe Chang, Xueqian Wang, Bin Liang
2024	J	`jnl`	Probing the Safety Response Boundary of Large Language Models via Unsafe Decoding Path Generation. CoRR Haoyu Wang, Bingzhe Wu, Yatao Bian, Yongzhe Chang, Xueqian Wang, Peilin Zhao
2024	J	`jnl`	QPO: Query-dependent Prompt Optimization via Multi-Loop Offline Reinforcement Learning. CoRR Yilun Kong, Hangyu Mao, Qi Zhao, Bin Zhang, Jingqing Ruan, Li Shen, Yongzhe Chang, Xueqian Wang, Rui Zhao, Dacheng Tao
2024	J	`jnl`	Solving time-delay issues in reinforcement learning via transformers. Appl. Intell. Bo Xia, Zaihui Yang, Minzhi Xie, Yongzhe Chang, Bo Yuan, Zhiheng Li, Xueqian Wang, Bin Liang
2023	—	`conf`	Addressing Delays in Reinforcement Learning via Delayed Adversarial Imitation Learning. ICANN (3) Minzhi Xie, Bo Xia, Yalou Yu, Xueqian Wang, Yongzhe Chang
2023	J	`jnl`	Are Large Language Models Really Robust to Word-Level Perturbations? CoRR 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
2023	A*	`conf`	Curriculum-based Co-design of Morphology and Control of Voxel-based Soft Robots. ICLR Yuxing Wang, Shuang Wu, Haobo Fu, Qiang Fu, Tiantian Zhang, Yongzhe Chang, Xueqian Wang
2023	B	`conf`	EPO-S: A Constrained RL Method to Enhance UAV Safety with Spatial Representation. SMC Qin Zhang, Linrui Zhang, Zaihui Yang, Haoyu Wang, Xueqian Wang, Yongzhe Chang
2023	B	`conf`	Overcoming Delayed Feedback via Overlook Decision Making. SMC Yalou Yu, Bo Xia, Minzhi Xie, Xueqian Wang, Zhiheng Li, Yongzhe Chang
2023	Misc	`conf`	PreCo: Enhancing Generalization in Co-Design of Modular Soft Robots via Brain-Body Pre-Training. CoRL Yuxing Wang, Shuang Wu, Tiantian Zhang, Yongzhe Chang, Haobo Fu, Qiang Fu, Xueqian Wang
2023	J	`jnl`	SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning. CoRR Qin Zhang, Linrui Zhang, Haoran Xu, Li Shen, Bowen Wang, Yongzhe Chang, Xueqian Wang, Bo Yuan, Dacheng Tao
2022	J	`jnl`	A Surrogate-Assisted Controller for Expensive Evolutionary Reinforcement Learning. CoRR Yuxing Wang, Tiantian Zhang, Yongzhe Chang, Bin Liang, Xueqian Wang, Bo Yuan
2022	J	`jnl`	A surrogate-assisted controller for expensive evolutionary reinforcement learning. Inf. Sci. Yuxing Wang, Tiantian Zhang, Yongzhe Chang, Xueqian Wang, Bin Liang, Bo Yuan
2021	J	`jnl`	NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection. CoRR Liang Xu, Liying Zheng, Weijun Li, Zhenbo Chen, Weishun Song, Yue Deng, Yongzhe Chang, Jing Xiao, Bo Yuan
2021	J	`jnl`	Probability Density Estimation Based Imitation Learning. CoRR Yang Liu, Yongzhe Chang, Shilei Jiang, Xueqian Wang, Bin Liang, Bo Yuan
2020	A*	`conf`	A Dual Input-aware Factorization Machine for CTR Prediction. IJCAI Wantong Lu, Yantao Yu, Yongzhe Chang, Zhen Wang, Chenhui Li, Bo Yuan
2019	—	`conf`	Exploring Latent Structure Similarity for Bayesian Nonparameteric Model with Mixture of NHPP Sequence. ICONIP (2) Yongzhe Chang, Zhidong Li, Ling Luo, Simon Luo, Arcot Sowmya, Yang Wang, Fang Chen
2019	—	`conf`	Recovering DTW Distance Between Noise Superposed NHPP. PAKDD (2) Yongzhe Chang, Zhidong Li, Bang Zhang, Ling Luo, Arcot Sowmya, Yang Wang, Fang Chen
2019	—	`—`	Robust, Efficient and Scalable Learning of Point Process. Yongzhe Chang