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ORCIDYucheng Zhou 0001
Person information
- affiliation: University of Macau, State Key Laboratory of Internet of Things for Smart City (SKL-IOTSC), Macau
- affiliation: University of Technology Sydney, School of Computer Science, Australian AI Institute, Sydney, Australia
- affiliation: Fudan University, Academic for Engineering and Technology, Shanghai, China
Other persons with the same name
- Yucheng Zhou (aka: YuCheng Zhou, Yu-cheng Zhou, Yu-Cheng Zhou) — disambiguation page
- Yucheng Zhou 0002
![[0000-0002-7436-4451]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-7436-4451")
— Shandong Jianzhu University, School of Information and Electrical Engineering, Jinan, China - Yucheng Zhou 0003 — Chinese Academy of Forestry, Research Institute of Wood Industry (RIWI), Beijing, China
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Journal Articles
- 2024
[j1]Wei Tao, Yucheng Zhou, Yanlin Wang, Hongyu Zhang, Haofen Wang, Wenqiang Zhang:
KADEL: Knowledge-Aware Denoising Learning for Commit Message Generation. ACM Trans. Softw. Eng. Methodol. 33(5): 133:1-133:32 (2024)
Conference and Workshop Papers
- 2025
- [c26]Hongji Yang, Yucheng Zhou, Wencheng Han, Jianbing Shen:
Self-Rewarding Large Vision-Language Models for Optimizing Prompts in Text-to-Image Generation. ACL (Findings) 2025: 7332-7349 - [c25]Yucheng Zhou, Lingran Song, Jianbing Shen:
Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback. ACL (1) 2025: 12994-13011 - [c24]Yucheng Zhou, Lingran Song, Jianbing Shen:
MAM: Modular Multi-Agent Framework for Multi-Modal Medical Diagnosis via Role-Specialized Collaboration. ACL (Findings) 2025: 25319-25333 - [c23]Zesheng Shi, Yucheng Zhou, Jing Li, Yuxin Jin, Yu Li, Daojing He, Fangming Liu, Saleh Alharbi, Jun Yu, Min Zhang:
Safety Alignment via Constrained Knowledge Unlearning. ACL (1) 2025: 25515-25529 - [c22]Xiang Li, Yucheng Zhou, Laiping Zhao, Jing Li, Fangming Liu:
Impromptu Cybercrime Euphemism Detection. COLING 2025: 9112-9123 - [c21]Qianning Wang, Chenglin Wang, Zhixin Lai, Yucheng Zhou:
InsectMamba: State Space Model with Adaptive Composite Features for Insect Recognition. ICASSP 2025: 1-5 - [c20]Yucheng Zhou, Jianbing Shen, Yu Cheng:
Weak to Strong Generalization for Large Language Models with Multi-capabilities. ICLR 2025 - [c19]Chenglin Wang, Yucheng Zhou, Zhe Wang, Zijie Zhai, Jianbing Shen, Kai Zhang:
Alternate Geometric and Semantic Denoising Diffusion for Protein Inverse Folding. ECML/PKDD (3) 2025: 350-366 - 2024
- [c18]Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Jianbing Shen, Guodong Long, Can Xu, Daxin Jiang:
Fine-Grained Distillation for Long Document Retrieval. AAAI 2024: 19732-19740 - [c17]Yucheng Zhou, Xiang Li, Qianning Wang, Jianbing Shen:
Visual In-Context Learning for Large Vision-Language Models. ACL (Findings) 2024: 15890-15902 - [c16]Zhixin Lai, Jing Wu, Suiyao Chen, Yucheng Zhou, Naira Hovakimyan:
Residual-based Language Models are Free Boosters for Biomedical Imaging Tasks. CVPR Workshops 2024: 5086-5096 - [c15]Jiashuo Sun, Jihai Zhang, Yucheng Zhou, Zhaochen Su, Xiaoye Qu, Yu Cheng:
SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information. EMNLP 2024: 7611-7629 - [c14]Qian Li, Yucheng Zhou, Cheng Ji, Feihong Lu, Jianian Gong, Shangguang Wang, Jianxin Li:
Multi-Modal Inductive Framework for Text-Video Retrieval. ACM Multimedia 2024: 2389-2398 - [c13]Wei Tao, Yucheng Zhou, Yanlin Wang, Wenqiang Zhang, Hongyu Zhang, Yu Cheng:
MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution. NeurIPS 2024 - 2023
- [c12]Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Binxing Jiao, Daxin Jiang:
Towards Robust Ranker for Text Retrieval. ACL (Findings) 2023: 5387-5401 - [c11]Yucheng Zhou, Guodong Long:
Style-Aware Contrastive Learning for Multi-Style Image Captioning. EACL (Findings) 2023: 2212-2222 - [c10]Yucheng Zhou, Guodong Long:
Multimodal Event Transformer for Image-guided Story Ending Generation. EACL 2023: 3426-3436 - [c9]Yucheng Zhou, Guodong Long:
Improving Cross-modal Alignment for Text-Guided Image Inpainting. EACL 2023: 3437-3448 - [c8]Xiang Li, Yucheng Zhou:
Disentangled and Robust Representation Learning for Bragging Classification in Social Media. ICASSP 2023: 1-5 - [c7]Zesheng Shi, Yucheng Zhou:
Topic-Selective Graph Network for Topic-Focused Summarization. PAKDD (4) 2023: 247-259 - 2022
- [c6]Yucheng Zhou, Tao Shen, Xiubo Geng, Guodong Long, Daxin Jiang:
ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification. ACL (1) 2022: 2559-2575 - [c5]Yucheng Zhou:
Sketch Storytelling. ICASSP 2022: 4748-4752 - [c4]Yucheng Zhou, Xiubo Geng, Tao Shen, Guodong Long, Daxin Jiang:
EventBERT: A Pre-Trained Model for Event Correlation Reasoning. WWW 2022: 850-859 - 2021
- [c3]Yucheng Zhou, Xiubo Geng, Tao Shen, Jian Pei, Wenqiang Zhang, Daxin Jiang:
Modeling Event-Pair Relations in External Knowledge Graphs for Script Reasoning. ACL/IJCNLP (Findings) 2021: 4586-4596 - [c2]Yucheng Zhou, Wei Tao, Wenqiang Zhang:
Triple Sequence Generative Adversarial Nets for Unsupervised Image Captioning. ICASSP 2021: 7598-7602 - [c1]Yucheng Zhou, Xiubo Geng, Tao Shen, Wenqiang Zhang, Daxin Jiang:
Improving Zero-Shot Cross-lingual Transfer for Multilingual Question Answering over Knowledge Graph. NAACL-HLT 2021: 5822-5834
Informal and Other Publications
- 2025
- [i34]Yucheng Zhou, Lingran Song, Jianbing Shen:
Training Medical Large Vision-Language Models with Abnormal-Aware Feedback. CoRR abs/2501.01377 (2025) - [i33]He Hu, Yucheng Zhou, Lianzhong You, Hongbo Xu, Qianning Wang, Zheng Lian, Fei Richard Yu, Fei Ma, Laizhong Cui:
EmoBench-M: Benchmarking Emotional Intelligence for Multimodal Large Language Models. CoRR abs/2502.04424 (2025) - [i32]Hongji Yang, Wencheng Han, Yucheng Zhou, Jianbing Shen:
DC-ControlNet: Decoupling Inter- and Intra-Element Conditions in Image Generation with Diffusion Models. CoRR abs/2502.14779 (2025) - [i31]He Hu, Yucheng Zhou, Juzheng Si, Qianning Wang, Hengheng Zhang, Fuji Ren, Fei Ma, Laizhong Cui:
Beyond Empathy: Integrating Diagnostic and Therapeutic Reasoning with Large Language Models for Mental Health Counseling. CoRR abs/2505.15715 (2025) - [i30]Hongji Yang, Yucheng Zhou, Wencheng Han, Jianbing Shen:
Self-Rewarding Large Vision-Language Models for Optimizing Prompts in Text-to-Image Generation. CoRR abs/2505.16763 (2025) - [i29]Zesheng Shi, Yucheng Zhou, Jing Li:
Safety Alignment via Constrained Knowledge Unlearning. CoRR abs/2505.18588 (2025) - [i28]Yucheng Zhou, Jiahao Yuan, Qianning Wang:
Draw ALL Your Imagine: A Holistic Benchmark and Agent Framework for Complex Instruction-based Image Generation. CoRR abs/2505.24787 (2025) - [i27]Chenglin Wang, Yucheng Zhou, Qianning Wang, Zhe Wang, Kai Zhang:
ComplexBench-Edit: Benchmarking Complex Instruction-Driven Image Editing via Compositional Dependencies. CoRR abs/2506.12830 (2025) - [i26]Yucheng Zhou, Lingran Song, Jianbing Shen:
MAM: Modular Multi-Agent Framework for Multi-Modal Medical Diagnosis via Role-Specialized Collaboration. CoRR abs/2506.19835 (2025) - [i25]Weigao Sun, Jiaxi Hu, Yucheng Zhou, Jusen Du, Disen Lan, Kexin Wang, Tong Zhu, Xiaoye Qu, Yu Zhang, Xiaoyu Mo, Daizong Liu, Yuxuan Liang, Wenliang Chen, Guoqi Li, Yu Cheng:
Speed Always Wins: A Survey on Efficient Architectures for Large Language Models. CoRR abs/2508.09834 (2025) - [i24]Dubing Chen, Huan Zheng, Yucheng Zhou, Xianfei Li, Wenlong Liao, Tao He, Pai Peng, Jianbing Shen:
Semantic Causality-Aware Vision-Based 3D Occupancy Prediction. CoRR abs/2509.08388 (2025) - [i23]He Hu, Yucheng Zhou, Chiyuan Ma, Qianning Wang, Zheng Zhang, Fei Ma, Laizhong Cui, Qi Tian:
TheraMind: A Strategic and Adaptive Agent for Longitudinal Psychological Counseling. CoRR abs/2510.25758 (2025) - 2024
- [i22]Wei Tao, Yucheng Zhou, Yanlin Wang, Hongyu Zhang, Haofen Wang, Wenqiang Zhang:
KADEL: Knowledge-Aware Denoising Learning for Commit Message Generation. CoRR abs/2401.08376 (2024) - [i21]Yucheng Zhou, Xiang Li, Qianning Wang, Jianbing Shen:
Visual In-Context Learning for Large Vision-Language Models. CoRR abs/2402.11574 (2024) - [i20]Zhixin Lai, Jing Wu, Suiyao Chen, Yucheng Zhou, Naira Hovakimyan:
Residual-based Language Models are Free Boosters for Biomedical Imaging. CoRR abs/2403.17343 (2024) - [i19]Wei Tao, Yucheng Zhou, Wenqiang Zhang, Yu Cheng:
MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution. CoRR abs/2403.17927 (2024) - [i18]Qianning Wang, Chenglin Wang, Zhixin Lai, Yucheng Zhou:
InsectMamba: Insect Pest Classification with State Space Model. CoRR abs/2404.03611 (2024) - [i17]Qianning Wang, He Hu, Yucheng Zhou:
MemoryMamba: Memory-Augmented State Space Model for Defect Recognition. CoRR abs/2405.03673 (2024) - [i16]Jiashuo Sun, Jihai Zhang, Yucheng Zhou, Zhaochen Su, Xiaoye Qu, Yu Cheng:
SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information. CoRR abs/2409.14083 (2024) - [i15]Yucheng Zhou, Zhi Rao, Jun Wan, Jianbing Shen:
Rethinking Visual Dependency in Long-Context Reasoning for Large Vision-Language Models. CoRR abs/2410.19732 (2024) - [i14]Guanjie Chen, Xinyu Zhao, Yucheng Zhou, Tianlong Chen, Yu Cheng:
Accelerating Vision Diffusion Transformers with Skip Branches. CoRR abs/2411.17616 (2024) - [i13]Xiang Li, Yucheng Zhou, Laiping Zhao, Jing Li, Fangming Liu:
Impromptu Cybercrime Euphemism Detection. CoRR abs/2412.01413 (2024) - [i12]Chenglin Wang, Yucheng Zhou, Zijie Zhai, Jianbing Shen, Kai Zhang:
Diffusion Model with Representation Alignment for Protein Inverse Folding. CoRR abs/2412.09380 (2024) - 2023
- [i11]Yucheng Zhou, Guodong Long:
Multimodal Event Transformer for Image-guided Story Ending Generation. CoRR abs/2301.11357 (2023) - [i10]Yucheng Zhou, Guodong Long:
Improving Cross-modal Alignment for Text-Guided Image Inpainting. CoRR abs/2301.11362 (2023) - [i9]Yucheng Zhou, Guodong Long:
Style-Aware Contrastive Learning for Multi-Style Image Captioning. CoRR abs/2301.11367 (2023) - [i8]Zesheng Shi, Yucheng Zhou:
Topic-Selective Graph Network for Topic-Focused Summarization. CoRR abs/2302.13106 (2023) - [i7]Yucheng Zhou, Xiubo Geng, Tao Shen, Chongyang Tao, Guodong Long, Jian-Guang Lou, Jianbing Shen:
Thread of Thought Unraveling Chaotic Contexts. CoRR abs/2311.08734 (2023) - 2022
- [i6]Yucheng Zhou, Tao Shen, Xiubo Geng, Guodong Long, Daxin Jiang:
ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification. CoRR abs/2203.02225 (2022) - [i5]Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Binxing Jiao, Daxin Jiang:
Towards Robust Ranker for Text Retrieval. CoRR abs/2206.08063 (2022) - [i4]Xiang Li, Yucheng Zhou:
Disentangled and Robust Representation Learning for Bragging Classification in Social Media. CoRR abs/2210.15180 (2022) - [i3]Chenglin Wang, Yucheng Zhou, Guodong Long, Xiaodong Wang, Xiaowei Xu:
Unsupervised Knowledge Graph Construction and Event-centric Knowledge Infusion for Scientific NLI. CoRR abs/2210.15248 (2022) - [i2]Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Guodong Long, Can Xu, Daxin Jiang:
Fine-Grained Distillation for Long Document Retrieval. CoRR abs/2212.10423 (2022) - 2021
- [i1]Yucheng Zhou, Xiubo Geng, Tao Shen, Guodong Long, Daxin Jiang:
EventBERT: A Pre-Trained Model for Event Correlation Reasoning. CoRR abs/2110.06533 (2021)
Coauthor Index
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