Modeling Event-Pair Relations in External Knowledge Graphs for Script Reasoning. - Yucheng Zhou 001; Xiubo Geng; Tao Shen 001; Jian Pei 001; Wenqiang Zhang; Daxin Jiang (ACL/IJCNLP (Findings), 2021)

Triple Sequence Generative Adversarial Nets for Unsupervised Image Captioning. - Yucheng Zhou 001; Wei Tao 003; Wenqiang Zhang (ICASSP, 2021)

Improving Zero-Shot Cross-lingual Transfer for Multilingual Question Answering over Knowledge Graph. - Yucheng Zhou 001; Xiubo Geng; Tao Shen 001; Wenqiang Zhang; Daxin Jiang (NAACL-HLT, 2021)

ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification. - Yucheng Zhou 001; Tao Shen 001; Xiubo Geng; Guodong Long; Daxin Jiang (ACL (1), 2022)

Sketch Storytelling. - Yucheng Zhou 001 (ICASSP, 2022)

EventBERT: A Pre-Trained Model for Event Correlation Reasoning. - Yucheng Zhou 001; Xiubo Geng; Tao Shen 001; Guodong Long; Daxin Jiang (WWW, 2022)

Unsupervised Knowledge Graph Construction and Event-centric Knowledge Infusion for Scientific NLI. - Chenglin Wang 008; Yucheng Zhou 001; Guodong Long; Xiaodong Wang 006; Xiaowei Xu 005 (CoRR, 2022)

Fine-Grained Distillation for Long Document Retrieval. - Yucheng Zhou 001; Tao Shen 001; Xiubo Geng; Chongyang Tao; Guodong Long; Can Xu; Daxin Jiang (CoRR, 2022)

Towards Robust Ranker for Text Retrieval. - Yucheng Zhou 001; Tao Shen 001; Xiubo Geng; Chongyang Tao; Can Xu; Guodong Long; Binxing Jiao; Daxin Jiang (ACL (Findings), 2023)

Style-Aware Contrastive Learning for Multi-Style Image Captioning. - Yucheng Zhou 001; Guodong Long (EACL (Findings), 2023)

Multimodal Event Transformer for Image-guided Story Ending Generation. - Yucheng Zhou 001; Guodong Long (EACL, 2023)

Improving Cross-modal Alignment for Text-Guided Image Inpainting. - Yucheng Zhou 001; Guodong Long (EACL, 2023)

Disentangled and Robust Representation Learning for Bragging Classification in Social Media. - Xiang Li 001; Yucheng Zhou 001 (ICASSP, 2023)

Topic-Selective Graph Network for Topic-Focused Summarization. - Zesheng Shi; Yucheng Zhou 001 (PAKDD (4), 2023)

Thread of Thought Unraveling Chaotic Contexts. - Yucheng Zhou 001; Xiubo Geng; Tao Shen 001; Chongyang Tao; Guodong Long; Jian-Guang Lou; Jianbing Shen (CoRR, 2023)

Fine-Grained Distillation for Long Document Retrieval. - Yucheng Zhou 001; Tao Shen 001; Xiubo Geng; Chongyang Tao; Jianbing Shen; Guodong Long; Can Xu; Daxin Jiang (AAAI, 2024)

Visual In-Context Learning for Large Vision-Language Models. - Yucheng Zhou 001; Xiang Li 001; Qianning Wang; Jianbing Shen (ACL (Findings), 2024)

Residual-based Language Models are Free Boosters for Biomedical Imaging Tasks. - Zhixin Lai; Jing Wu 020; Suiyao Chen; Yucheng Zhou 001; Naira Hovakimyan (CVPR Workshops, 2024)

SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information. - Jiashuo Sun; Jihai Zhang 002; Yucheng Zhou 001; Zhaochen Su; Xiaoye Qu; Yu Cheng 001 (EMNLP, 2024)

Multi-Modal Inductive Framework for Text-Video Retrieval. - Qian Li 033; Yucheng Zhou 001; Cheng Ji 001; Feihong Lu; Jianian Gong; Shangguang Wang; Jianxin Li 002 (ACM Multimedia, 2024)

MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution. - Wei Tao 003; Yucheng Zhou 001; Yanlin Wang 001; Wenqiang Zhang; Hongyu Zhang 002; Yu Cheng 001 (NeurIPS, 2024)

Residual-based Language Models are Free Boosters for Biomedical Imaging. - Zhixin Lai; Jing Wu 020; Suiyao Chen; Yucheng Zhou 001; Naira Hovakimyan (CoRR, 2024)

MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution. - Wei Tao 003; Yucheng Zhou 001; Wenqiang Zhang; Yu Cheng 001 (CoRR, 2024)

InsectMamba: Insect Pest Classification with State Space Model. - Qianning Wang; Chenglin Wang 010; Zhixin Lai; Yucheng Zhou 001 (CoRR, 2024)

MemoryMamba: Memory-Augmented State Space Model for Defect Recognition. - Qianning Wang; He Hu 006; Yucheng Zhou 001 (CoRR, 2024)

Rethinking Visual Dependency in Long-Context Reasoning for Large Vision-Language Models. - Yucheng Zhou 001; Zhi Rao; Jun Wan; Jianbing Shen (CoRR, 2024)

Accelerating Vision Diffusion Transformers with Skip Branches. - Guanjie Chen; Xinyu Zhao; Yucheng Zhou 001; Tianlong Chen 001; Yu Cheng 001 (CoRR, 2024)

Diffusion Model with Representation Alignment for Protein Inverse Folding. - Chenglin Wang 010; Yucheng Zhou 001; Zijie Zhai; Jianbing Shen; Kai Zhang (CoRR, 2024)

KADEL: Knowledge-Aware Denoising Learning for Commit Message Generation. - Wei Tao 003; Yucheng Zhou 001; Yanlin Wang 001; Hongyu Zhang 002; Haofen Wang; Wenqiang Zhang (ACM Trans. Softw. Eng. Methodol., 2024)

Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback. - Yucheng Zhou 001; Lingran Song; Jianbing Shen (ACL (1), 2025)

MAM: Modular Multi-Agent Framework for Multi-Modal Medical Diagnosis via Role-Specialized Collaboration. - Yucheng Zhou 001; Lingran Song; Jianbing Shen (ACL (Findings), 2025)

Safety Alignment via Constrained Knowledge Unlearning. - Zesheng Shi; Yucheng Zhou 001; Jing Li 034; Yuxin Jin; Yu Li 007; Daojing He; Fangming Liu; Saleh Alharbi; Jun Yu; Min Zhang 005 (ACL (1), 2025)

Self-Rewarding Large Vision-Language Models for Optimizing Prompts in Text-to-Image Generation. - Hongji Yang; Yucheng Zhou 001; Wencheng Han; Jianbing Shen (ACL (Findings), 2025)

Impromptu Cybercrime Euphemism Detection. - Xiang Li 001; Yucheng Zhou 001; Laiping Zhao; Jing Li 034; Fangming Liu (COLING, 2025)

InsectMamba: State Space Model with Adaptive Composite Features for Insect Recognition. - Qianning Wang; Chenglin Wang 010; Zhixin Lai; Yucheng Zhou 001 (ICASSP, 2025)

Weak to Strong Generalization for Large Language Models with Multi-capabilities. - Yucheng Zhou 001; Jianbing Shen; Yu Cheng 001 (ICLR, 2025)

Training Medical Large Vision-Language Models with Abnormal-Aware Feedback. - Yucheng Zhou 001; Lingran Song; Jianbing Shen (CoRR, 2025)

EmoBench-M: Benchmarking Emotional Intelligence for Multimodal Large Language Models. - He Hu 008; Yucheng Zhou 001; Lianzhong You; Hongbo Xu; Qianning Wang; Zheng Lian; Fei Richard Yu; Fei Ma 006; Laizhong Cui (CoRR, 2025)

DC-ControlNet: Decoupling Inter- and Intra-Element Conditions in Image Generation with Diffusion Models. - Hongji Yang; Wencheng Han; Yucheng Zhou 001; Jianbing Shen (CoRR, 2025)

Beyond Empathy: Integrating Diagnostic and Therapeutic Reasoning with Large Language Models for Mental Health Counseling. - He Hu 008; Yucheng Zhou 001; Juzheng Si; Qianning Wang; Hengheng Zhang; Fuji Ren; Fei Ma 006; Laizhong Cui (CoRR, 2025)

Safety Alignment via Constrained Knowledge Unlearning. - Zesheng Shi; Yucheng Zhou 001; Jing Li 034 (CoRR, 2025)

Draw ALL Your Imagine: A Holistic Benchmark and Agent Framework for Complex Instruction-based Image Generation. - Yucheng Zhou 001; Jiahao Yuan; Qianning Wang (CoRR, 2025)

ComplexBench-Edit: Benchmarking Complex Instruction-Driven Image Editing via Compositional Dependencies. - Chenglin Wang 010; Yucheng Zhou 001; Qianning Wang; Zhe Wang; Kai Zhang (CoRR, 2025)

Speed Always Wins: A Survey on Efficient Architectures for Large Language Models. - Weigao Sun; Jiaxi Hu; Yucheng Zhou 001; Jusen Du; Disen Lan; Kexin Wang; Tong Zhu 002; Xiaoye Qu; Yu Zhang; Xiaoyu Mo; Daizong Liu; Yuxuan Liang; et al. (CoRR, 2025)