| 2026 | AAAI | Sim4Seg: Boosting Multimodal Multi-disease Medical Diagnosis Segmentation with Region-Aware Vision-Language Similarity Masks. | Lingran Song, Yucheng Zhou, Jianbing Shen |
| 2026 | AAAI | Less Is More: Vision Representation Compression for Efficient Video Generation with Large Language Models. | Yucheng Zhou, Jihai Zhang, Guanjie Chen, Jianbing Shen, Yu Cheng |
| 2026 | ACL | LLM Inductive Reasoning Through Multi-Agent Enhanced Monte Carlo Tree Search. | Xiang Li, Yucheng Zhou, Xiangzhi Wei, Zesheng Shi, Haiyuan Wan, Yifan Gong, Fangming Liu, Jing Li |
| 2026 | ACL | 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 |
| 2026 | ACL | Multimodal Large Language Models for Multi-Subject In-Context Image Generation. | Yucheng Zhou, Dubing Chen, Huan Zheng, Jianbing Shen |
| 2026 | ACL | Accelerating Training of Autoregressive Video Generation Models via Local Optimization with Representation Continuity. | Yucheng Zhou, Jianbing Shen |
| 2026 | ACL | Compatibility-Aware Dynamic Fine-Tuning for Large Language Models. | Yucheng Zhou, Junwei Sheng, Qianning Wang, Jianbing Shen |
| 2026 | WWW | TheraMind: A Strategic and Adaptive Agent for Longitudinal Psychological Counseling. | He Hu, Chiyuan Ma, Qianning Wang, Lin Liu, Yucheng Zhou, Laizhong Cui, Fei Ma, Qi Tian |
| 2026 | WWW | 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 |
| 2025 | ACL | Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback. | Yucheng Zhou, Lingran Song, Jianbing Shen |
| 2025 | ACL | MAM: Modular Multi-Agent Framework for Multi-Modal Medical Diagnosis via Role-Specialized Collaboration. | Yucheng Zhou, Lingran Song, Jianbing Shen |
| 2025 | ACL | 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 |
| 2025 | ACL | Self-Rewarding Large Vision-Language Models for Optimizing Prompts in Text-to-Image Generation. | Hongji Yang, Yucheng Zhou, Wencheng Han, Jianbing Shen |
| 2025 | COLING | Impromptu Cybercrime Euphemism Detection. | Xiang Li, Yucheng Zhou, Laiping Zhao, Jing Li, Fangming Liu |
| 2025 | ICASSP | InsectMamba: State Space Model with Adaptive Composite Features for Insect Recognition. | Qianning Wang, Chenglin Wang, Zhixin Lai, Yucheng Zhou |
| 2025 | ICCV | Semantic Causality-Aware Vision-Based 3D Occupancy Prediction. | Dubing Chen, Huan Zheng, Yucheng Zhou, Xianfei Li, Wenlong Liao, Tao He, Pai Peng, Jianbing Shen |
| 2025 | ICCV | 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 |
| 2025 | ICCV | DC-ControlNet: Decoupling Inter- and Intra-Element Conditions in Image Generation with Diffusion Models. | Hongji Yang, Wencheng Han, Yucheng Zhou, Jianbing Shen |
| 2025 | ICLR | Weak to Strong Generalization for Large Language Models with Multi-capabilities. | Yucheng Zhou, Jianbing Shen, Yu Cheng |
| 2024 | AAAI | Fine-Grained Distillation for Long Document Retrieval. | Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Jianbing Shen, Guodong Long, Can Xu, Daxin Jiang |
| 2024 | ACL | Visual In-Context Learning for Large Vision-Language Models. | Yucheng Zhou, Xiang Li, Qianning Wang, Jianbing Shen |
| 2024 | CVPR | Residual-based Language Models are Free Boosters for Biomedical Imaging Tasks. | Zhixin Lai, Jing Wu, Suiyao Chen, Yucheng Zhou, Naira Hovakimyan |
| 2024 | EMNLP | SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information. | Jiashuo Sun, Jihai Zhang, Yucheng Zhou, Zhaochen Su, Xiaoye Qu, Yu Cheng |
| 2023 | ACL | Towards Robust Ranker for Text Retrieval. | Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Binxing Jiao, Daxin Jiang |
| 2023 | EACL | Style-Aware Contrastive Learning for Multi-Style Image Captioning. | Yucheng Zhou, Guodong Long |
| 2023 | EACL | Multimodal Event Transformer for Image-guided Story Ending Generation. | Yucheng Zhou, Guodong Long |
| 2023 | EACL | Improving Cross-modal Alignment for Text-Guided Image Inpainting. | Yucheng Zhou, Guodong Long |
| 2023 | ICASSP | Disentangled and Robust Representation Learning for Bragging Classification in Social Media. | Xiang Li, Yucheng Zhou |
| 2023 | PAKDD | Topic-Selective Graph Network for Topic-Focused Summarization. | Zesheng Shi, Yucheng Zhou |
| 2022 | ACL | 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 |
| 2022 | EMNLP | ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models. | Jiannan Xiang, Zhengzhong Liu, Yucheng Zhou, Eric P. Xing, Zhiting Hu |
| 2022 | ICASSP | Sketch Storytelling. | Yucheng Zhou |
| 2022 | WWW | EventBERT: A Pre-Trained Model for Event Correlation Reasoning. | Yucheng Zhou, Xiubo Geng, Tao Shen, Guodong Long, Daxin Jiang |
| 2021 | ACL | Modeling Event-Pair Relations in External Knowledge Graphs for Script Reasoning. | Yucheng Zhou, Xiubo Geng, Tao Shen, Jian Pei, Wenqiang Zhang, Daxin Jiang |
| 2021 | ICASSP | Triple Sequence Generative Adversarial Nets for Unsupervised Image Captioning. | Yucheng Zhou, Wei Tao, Wenqiang Zhang |
| 2021 | NAACL | Improving Zero-Shot Cross-lingual Transfer for Multilingual Question Answering over Knowledge Graph. | Yucheng Zhou, Xiubo Geng, Tao Shen, Wenqiang Zhang, Daxin Jiang |
| 2010 | ICARCV | Sensor fusion of delay and non-delay signal using ensemble Kalman filter with moving covariance. | Yucheng Zhou, Jiahe Xu |