Research on Load Forecasting Method of Distribution Transformer based on Deep Learning. - Lei Chen; Huihua Yu; Li Tong; Xu Huai; Peipei Jin; Yu Huang 004; Chengfeng Dou (CSCloud/EdgeCom, 2020)

Research on Text Classification Method of Distribution Network Equipment Fault based on Deep Learning. - Wei Liu; Jian Su; Zhenyu Mao; Peipei Jin; Yu Huang 004; Chengfeng Dou; Limei Zhou; Yuwei Shang (CSCloud/EdgeCom, 2020)

ADHD fMRI short-time analysis method for edge computing based on multi-instance learning. - Chengfeng Dou; Shikun Zhang; Hanping Wang; Li Sun; Yu Huang 004; Weihua Yue (J. Syst. Archit., 2020)

Fine-Grained Scene Graph Generation with Overlap Region and Geometrical Center. - Yongqiang Zhao; Zhi Jin; Haiyan Zhao 001; F. Zhang; Z. W. Tao; Chengfeng Dou; Xinhai Xu; Donghong Liu (Comput. Graph. Forum, 2022)

SEAG: Structure-Aware Event Causality Generation. - Zhengwei Tao; Zhi Jin; Xiaoying Bai; Haiyan Zhao 001; Chengfeng Dou; Yongqiang Zhao; Fang Wang 011; Chongyang Tao (ACL (Findings), 2023)

UniEvent: Unified Generative Model with Multi-Dimensional Prefix for Zero-Shot Event-Relational Reasoning. - Zhengwei Tao; Zhi Jin; Haiyan Zhao 001; Chengfeng Dou; Yongqiang Zhao; Tao Shen 001; Chongyang Tao (ACL (1), 2023)

PlugMed: Improving Specificity in Patient-Centered Medical Dialogue Generation using In-Context Learning. - Chengfeng Dou; Zhi Jin; Wenpin Jiao; Haiyan Zhao 001; Yongqiang Zhao; Zhengwei Tao (EMNLP (Findings), 2023)

Plug-and-Play Medical Dialogue System. - Chengfeng Dou; Zhi Jin; Wenping Jiao; Haiyan Zhao 001; Zhenwei Tao; Yongqiang Zhao (CoRR, 2023)

Enhancing the Spatial Awareness Capability of Multi-Modal Large Language Model. - Yongqiang Zhao; Zhenyu Li; Zhi Jin; Feng Zhang; Haiyan Zhao 001; Chengfeng Dou; Zhengwei Tao; Xinhai Xu; Donghong Liu (CoRR, 2023)

Integrating Physician Diagnostic Logic into Large Language Models: Preference Learning from Process Feedback. - Chengfeng Dou; Ying Zhang; Zhi Jin; Wenpin Jiao; Haiyan Zhao 001; Yongqiang Zhao; Zhengwei Tao (ACL (Findings), 2024)

Detection, Diagnosis, and Explanation: A Benchmark for Chinese Medial Hallucination Evaluation. - Chengfeng Dou; Ying Zhang; Yanyuan Chen; Zhi Jin; Wenpin Jiao; Haiyan Zhao 001; Yu Huang (LREC/COLING, 2024)

Learning-based Widget Matching for Migrating GUI Test Cases. - Yakun Zhang 001; Wenjie Zhang 007; Dezhi Ran; Qihao Zhu; Chengfeng Dou; Dan Hao 001; Tao Xie 001; Lu Zhang 023 (ICSE, 2024)

Integrating Physician Diagnostic Logic into Large Language Models: Preference Learning from Process Feedback. - Chengfeng Dou; Zhi Jin; Wenpin Jiao; Haiyan Zhao 001; Yongqiang Zhao; Zhenwei Tao (CoRR, 2024)

Exploring LLM-based Data Annotation Strategies for Medical Dialogue Preference Alignment. - Chengfeng Dou; Ying Zhang; Zhi Jin; Wenpin Jiao; Haiyan Zhao 001; Yongqiang Zhao; Zhengwei Tao (CoRR, 2024)

Enhancing LLM Generation with Knowledge Hypergraph for Evidence-Based Medicine. - Chengfeng Dou; Ying Zhang; Zhi Jin; Wenpin Jiao; Haiyan Zhao 001; Yongqiang Zhao; Zhengwei Tao (CoRR, 2025)

PROPHET: An Inferable Future Forecasting Benchmark with Causal Intervened Likelihood Estimation. - Zhengwei Tao; Zhi Jin; Bincheng Li; Xiaoying Bai; Haiyan Zhao 001; Chengfeng Dou; Xiancai Chen; Jia Li 003; Linyu Li 001; Chongyang Tao (CoRR, 2025)

Towards Structure-aware Model for Multi-modal Knowledge Graph Completion. - LinYu Li 001; Zhi Jin; Yichi Zhang; Dongming Jin; Chengfeng Dou; Yuanpeng He; Xuan Zhang 002; Haiyan Zhao 001 (CoRR, 2025)