Xiangcheng Zhang

12 papers A* 3Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Visual Generation Unlocks Human-Like Reasoning through Multimodal World Models. CoRR Jialong Wu, Xiaoying Zhang, Hongyi Yuan, Xiangcheng Zhang, Tianhao Huang, Changjing He, Chaoyi Deng, Renrui Zhang, Youbin Wu, Mingsheng Long
2025	A*	`conf`	Domain Guidance: A Simple Transfer Approach for a Pre-trained Diffusion Model. ICLR Jincheng Zhong, Xiangcheng Zhang, Jianmin Wang, Mingsheng Long
2025	J	`jnl`	Domain Guidance: A Simple Transfer Approach for a Pre-trained Diffusion Model. CoRR Jincheng Zhong, Xiangcheng Zhang, Jianmin Wang, Mingsheng Long
2025	J	`jnl`	ID policy (with reassignment) is asymptotically optimal for heterogeneous weakly-coupled MDPs. CoRR Xiangcheng Zhang, Yige Hong, Weina Wang
2025	J	`jnl`	Inference-time Scaling of Diffusion Models through Classical Search. CoRR Xiangcheng Zhang, Haowei Lin, Haotian Ye, James Y. Zou, Jianzhu Ma, Yitao Liang, Yilun Du
2025	A*	`conf`	Logarithmic Regret for Linear Markov Decision Processes with Adversarial Corruptions. AAAI Canzhe Zhao, Xiangcheng Zhang, Baoxiang Wang, Shuai Li
2024	—	`conf`	Communication Fiber Optic Cable Breakpoint Localization in High Steep Areas Based on Phase-sensitive Optical Time-domain Reflection Technique. CNML Hongjun Sun, Guishuo Wang, Jingqi Sui, Pengfei Wu, Qingsong Liu, Xiangcheng Zhang
2024	J	`jnl`	Improved Regret Bounds for Linear Adversarial MDPs via Linear Optimization. Trans. Mach. Learn. Res. Fang Kong, Xiangcheng Zhang, Baoxiang Wang, Shuai Li
2024	A*	`conf`	Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation. ICML Yu Chen, Xiangcheng Zhang, Siwei Wang, Longbo Huang
2024	J	`jnl`	Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation. CoRR Yu Chen, Xiangcheng Zhang, Siwei Wang, Longbo Huang
2023	J	`jnl`	Improved Regret Bounds for Linear Adversarial MDPs via Linear Optimization. CoRR Fang Kong, Xiangcheng Zhang, Baoxiang Wang, Shuai Li
2021	J	`jnl`	Research on Location Algorithm Based on Beacon Filtering Combining DV-Hop and Multidimensional Support Vector Regression. Sensors Dejing Zhang, Xiangcheng Zhang, Fengfeng Xie

Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski