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2020 – today
- 2025
[i9]Chengfeng Dou, Ying Zhang, Zhi Jin, Wenpin Jiao, Haiyan Zhao, Yongqiang Zhao, Zhengwei Tao:
Enhancing LLM Generation with Knowledge Hypergraph for Evidence-Based Medicine. CoRR abs/2503.16530 (2025)- [i8]Zhengwei Tao, Zhi Jin, Bincheng Li, Xiaoying Bai, Haiyan Zhao, Chengfeng Dou, Xiancai Chen, Jia Li, Linyu Li, Chongyang Tao:
PROPHET: An Inferable Future Forecasting Benchmark with Causal Intervened Likelihood Estimation. CoRR abs/2504.01509 (2025) - [i7]LinYu Li, Zhi Jin, Yichi Zhang, Dongming Jin, Chengfeng Dou, Yuanpeng He, Xuan Zhang, Haiyan Zhao:
Towards Structure-aware Model for Multi-modal Knowledge Graph Completion. CoRR abs/2505.21973 (2025) - [i6]Chengfeng Dou, Chong Liu, Fan Yang, Fei Li, Jiyuan Jia, Mingyang Chen, Qiang Ju, Shuai Wang, Shunya Dang, Tianpeng Li, Xiangrong Zeng, Yijie Zhou, Chenzheng Zhu, Da Pan, Fei Deng, Guangwei Ai, Guosheng Dong, Hongda Zhang, Jinyang Tai, Jixiang Hong, Kai Lu, Linzhuang Sun, Peidong Guo, Qian Ma, Rihui Xin, Shihui Yang, Shusen Zhang, Yichuan Mo, Zheng Liang, Zhishou Zhang, Hengfu Cui, Zuyi Zhu, Xiaochuan Wang:
Baichuan-M2: Scaling Medical Capability with Large Verifier System. CoRR abs/2509.02208 (2025) - [i5]Shihui Yang, Chengfeng Dou, Peidong Guo, Kai Lu, Qiang Ju, Fei Deng, Rihui Xin:
DCPO: Dynamic Clipping Policy Optimization. CoRR abs/2509.02333 (2025) - 2024
- [c8]Chengfeng Dou, Ying Zhang, Zhi Jin, Wenpin Jiao, Haiyan Zhao, Yongqiang Zhao, Zhengwei Tao:
Integrating Physician Diagnostic Logic into Large Language Models: Preference Learning from Process Feedback. ACL (Findings) 2024: 2453-2473 - [c7]Chengfeng Dou, Ying Zhang, Yanyuan Chen, Zhi Jin, Wenpin Jiao, Haiyan Zhao, Yu Huang:
Detection, Diagnosis, and Explanation: A Benchmark for Chinese Medial Hallucination Evaluation. LREC/COLING 2024: 4784-4794 - [c6]Yakun Zhang
, Wenjie Zhang, Dezhi Ran, Qihao Zhu, Chengfeng Dou, Dan Hao, Tao Xie, Lu Zhang:
Learning-based Widget Matching for Migrating GUI Test Cases. ICSE 2024: 69:1-69:13 - [i4]Chengfeng Dou, Zhi Jin, Wenpin Jiao, Haiyan Zhao, Yongqiang Zhao, Zhenwei Tao:
Integrating Physician Diagnostic Logic into Large Language Models: Preference Learning from Process Feedback. CoRR abs/2401.05695 (2024) - [i3]Chengfeng Dou, Ying Zhang, Zhi Jin, Wenpin Jiao, Haiyan Zhao, Yongqiang Zhao, Zhengwei Tao:
Exploring LLM-based Data Annotation Strategies for Medical Dialogue Preference Alignment. CoRR abs/2410.04112 (2024) - 2023
- [c5]Zhengwei Tao, Zhi Jin, Xiaoying Bai, Haiyan Zhao, Chengfeng Dou, Yongqiang Zhao, Fang Wang, Chongyang Tao:
SEAG: Structure-Aware Event Causality Generation. ACL (Findings) 2023: 4631-4644 - [c4]Zhengwei Tao, Zhi Jin, Haiyan Zhao, Chengfeng Dou, Yongqiang Zhao, Tao Shen, Chongyang Tao:
UniEvent: Unified Generative Model with Multi-Dimensional Prefix for Zero-Shot Event-Relational Reasoning. ACL (1) 2023: 7088-7102 - [c3]Chengfeng Dou, Zhi Jin, Wenpin Jiao, Haiyan Zhao, Yongqiang Zhao, Zhengwei Tao:
PlugMed: Improving Specificity in Patient-Centered Medical Dialogue Generation using In-Context Learning. EMNLP (Findings) 2023: 5050-5066 - [i2]Chengfeng Dou, Zhi Jin, Wenping Jiao, Haiyan Zhao, Zhenwei Tao, Yongqiang Zhao:
Plug-and-Play Medical Dialogue System. CoRR abs/2305.11508 (2023) - [i1]Yongqiang Zhao, Zhenyu Li, Zhi Jin, Feng Zhang, Haiyan Zhao, Chengfeng Dou, Zhengwei Tao, Xinhai Xu, Donghong Liu:
Enhancing the Spatial Awareness Capability of Multi-Modal Large Language Model. CoRR abs/2310.20357 (2023) - 2022
- [j2]Yongqiang Zhao, Zhi Jin, Haiyan Zhao, F. Zhang, Z. W. Tao, Chengfeng Dou, Xinhai Xu, Donghong Liu:
Fine-Grained Scene Graph Generation with Overlap Region and Geometrical Center. Comput. Graph. Forum 41(7): 359-370 (2022) - 2020
- [j1]Chengfeng Dou, Shikun Zhang, Hanping Wang, Li Sun, Yu Huang, Weihua Yue:
ADHD fMRI short-time analysis method for edge computing based on multi-instance learning. J. Syst. Archit. 111: 101834 (2020) - [c2]Wei Liu, Jian Su, Zhenyu Mao, Peipei Jin, Yu Huang, Chengfeng Dou, Limei Zhou, Yuwei Shang:
Research on Text Classification Method of Distribution Network Equipment Fault based on Deep Learning. CSCloud/EdgeCom 2020: 11-16 - [c1]Lei Chen, Huihua Yu, Li Tong, Xu Huai, Peipei Jin, Yu Huang, Chengfeng Dou:
Research on Load Forecasting Method of Distribution Transformer based on Deep Learning. CSCloud/EdgeCom 2020: 228-233
Coauthor Index
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