Selected Publications
Full list on Google Scholar ($^*$ Equal contribution; † Corresponding author)
2026 📜
Compatibility-Aware Dynamic Fine-Tuning for Large Language Models.
Yucheng Zhou*, Junwei Sheng*, Qianning Wang, Jianbing Shen.
ACL 2026 (pdf)
Accelerating Training of Autoregressive Video Generation Models via Local Optimization with Representation Continuity.
Yucheng Zhou, Jianbing Shen.
ACL 2026 (pdf)
Multimodal Large Language Models for Multi-Subject In-Context Image Generation.
Yucheng Zhou, Dubing Chen, Huan Zheng, Jianbing Shen.
ACL 2026 (pdf)
LADR: Locality-Aware Dynamic Rescue for Efficient Text-to-Image Generation with Diffusion Large Language Models.
Chenglin Wang*, Yucheng Zhou*, Shuang Chen, Tao Wang, Kai Zhang.
ACL 2026 (pdf)
LLM Inductive Reasoning Through Multi-Agent Enhanced Monte Carlo Tree Search.
Xiang Li, Yucheng Zhou, Xiangzhi Wei, Zesheng Shi, Haiyuan Wan, Gong Yifan, Fangming Liu, Jing Li.
ACL 2026
HiCoGen: Hierarchical Compositional Text-to-Image Generation in Diffusion Models via Reinforcement Learning.
Hongji Yang, Yucheng Zhou, Wencheng Han, Runzhou Tao, Zhongying Qiu, Jianfei Yang, Jianbing Shen.
CVPR 2026 (pdf)
RVLF: A Reinforcing Vision-Language Framework for Gloss-Free Sign Language Translation.
Zhi Rao, Yucheng Zhou, Benjia Zhou, Yiqing Huang, Sergio Escalera, Jun Wan.
CVPR 2026 (pdf)
Condition Errors Refinement in Autoregressive Image Generation with Diffusion Loss.
Yucheng Zhou*, Hao Li*, Jianbing Shen.
ICLR 2026 (pdf)
From Broad Exploration to Stable Synthesis: Entropy-Guided Optimization for Autoregressive Image Generation.
Han Song*, Yucheng Zhou*, Jianbing Shen, Yu Cheng.
ICLR 2026 (pdf, project)
Kardia-R1: Unleashing LLMs to Reason toward Understanding and Empathy for Emotional Support via Rubric-as-Judge Reinforcement Learning.
Jiahao Yuan, Zhiqing Cui, Hanqing Wang, Yuansheng Gao, Yucheng Zhou†, Usman Naseem.
WWW 2026 (pdf, project)
TheraMind: A Strategic and Adaptive Agent for Longitudinal Psychological Counseling.
He Hu, Chiyuan Ma, Qianning Wang, Liu Lin, Yucheng Zhou†, Laizhong Cui, Fei Ma, Qi Tian.
WWW 2026 (pdf, project)
Less Is More: Vision Representation Compression for Efficient Video Generation with Large Language Models.
Yucheng Zhou*, Jihai Zhang*, Guanjie Chen, Jianbing Shen, Yu Cheng.
AAAI 2026 (pdf)
Sim4Seg: Boosting Multimodal Multi-disease Medical Diagnosis Segmentation with Region-Aware Vision-Language Similarity Masks.
Lingran Song, Yucheng Zhou, Jianbing Shen.
AAAI 2026 (pdf, project)
2025 📜
Weak to Strong Generalization for Large Language Models with Multi-capabilities.
Yucheng Zhou, Jianbing Shen, Yu Cheng.
ICLR 2025 (pdf)
MAM: Modular Multi-Agent Framework for Multi-Modal Medical Diagnosis via Role-Specialized Collaboration.
Yucheng Zhou, Lingran Song, Jianbing Shen.
ACL 2025 (pdf, project)
Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback.
Yucheng Zhou, Lingran Song, Jianbing Shen.
ACL 2025 (pdf)
Self-Rewarding Large Vision-Language Models for Optimizing Prompts in Text-to-Image Generation.
Hongji Yang, Yucheng Zhou, Wencheng Han, Jianbing Shen.
ACL 2025 (pdf)
Safety Alignment via Constrained Knowledge Unlearning.
Zesheng Shi, Yucheng Zhou, Jing Li, Yuxin Jin, Yu Li, Daojing He, Fangming Liu, Saleh Alharbi, Jun Yu, Min Zhang.
ACL 2025 (pdf)
DC-ControlNet: Decoupling Inter-and Intra-Element Conditions in Image Generation with Diffusion Models.
Hongji Yang*, Wencheng Han*, Yucheng Zhou, Jianbing Shen.
ICCV 2025 (pdf, project)
Towards Stabilized and Efficient Diffusion Transformers through Long-Skip-Connections with Spectral Constraints.
Guanjie Chen*, Xinyu Zhao*, Yucheng Zhou, Xiaoye Qu, Tianlong Chen, Yu Cheng.
ICCV 2025 (pdf, project)
Semantic Causality-Aware Vision-Based 3D Occupancy Prediction.
Dubing Chen, Huan Zheng, Yucheng Zhou, Xianfei Li, Wenlong Liao, Tao He, Pai Peng, Jianbing Shen.
ICCV 2025 (pdf, project)
ComplexBench-Edit: Benchmarking Complex Instruction-Driven Image Editing via Compositional Dependencies.
Chenglin Wang*, Yucheng Zhou*, Qianning Wang, Zhe Wang, Kai Zhang.
ACMMM 2025 (pdf, project)
Alternate Geometric and Semantic Denoising Diffusion for Protein Inverse Folding.
Chenglin Wang*, Yucheng Zhou*, Zijie Zhai, Jianbing Shen, Kai Zhang.
ECML 2025 (pdf, project)
Impromptu Cybercrime Euphemism Detection.
Xiang Li, Yucheng Zhou, Laiping Zhao, Jing Li, Fangming Liu.
COLING 2025 (pdf)
2024 📜
Visual In-Context Learning for Large Vision-Language Models.
Yucheng Zhou, Xiang Li, Qianning Wang, Jianbing Shen.
ACL 2024 (pdf, project)
Fine-Grained Distillation for Long Document Retrieval.
Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Jianbing Shen, Guodong Long, Can Xu, Daxin Jiang.
AAAI 2024 (pdf, project)
MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution.
Wei Tao, Yucheng Zhou, Yanlin Wang, Wenqiang Zhang, Hongyu Zhang, Yu Cheng.
NeurIPS 2024 (pdf, project)
SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information.
Jiashuo Sun, Jihai Zhang, Yucheng Zhou, Zhaochen Su, Xiaoye Qu, Yu Cheng.
EMNLP 2024 (pdf, project)
Multi-Modal Inductive Framework for Text-Video Retrieval.
Qian Li, Yucheng Zhou, Cheng Ji, Feihong Lu, Jianian Gong, Shangguang Wang, Jianxin Li.
ACMMM 2024 (pdf)
KADEL: Knowledge-Aware Denoising Learning for Commit Message Generation.
Wei Tao, Yucheng Zhou, Yanlin Wang, Hongyu Zhang, Haofen Wang, Wenqiang Zhang.
ACM TOSEM 2024 (pdf, project)
2023 and Prior 📜
Towards Robust Ranker for Text Retrieval.
Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Binxing Jiao, Daxin Jiang.
ACL 2023 (pdf, project)
Improving Cross-modal Alignment for Text-Guided Image Inpainting.
Yucheng Zhou, Guodong Long.
EACL 2023 (pdf)
Style-Aware Contrastive Learning for Multi-Style Image Captioning.
Yucheng Zhou, Guodong Long.
EACL 2023 (pdf)
Multimodal Event Transformer for Image-guided Story Ending Generation.
Yucheng Zhou, Guodong Long.
EACL 2023 (pdf)
ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification.
Yucheng Zhou, Tao Shen, Xiubo Geng, Guodong Long, Daxin Jiang.
ACL 2022 (pdf, project, data)
EventBERT: A Pre-Trained Model for Event Correlation Reasoning.
Yucheng Zhou, Xiubo Geng, Tao Shen, Guodong Long, Daxin Jiang.
WWW 2022 (pdf, data)
Modeling Event-Pair Relations in External Knowledge Graphs for Script Reasoning.
Yucheng Zhou, Xiubo Geng, Tao Shen, Jian Pei, Wenqiang Zhang, Daxin Jiang.
ACL 2021 (pdf, data)
Improving Zero-Shot Cross-lingual Transfer for Multilingual Question Answering over Knowledge Graph.
Yucheng Zhou, Xiubo Geng, Tao Shen, Wenqiang Zhang, Daxin Jiang.
NAACL 2021 (pdf, data)