[1] Shiwen Ni, Dingwei Chen, Chengming Li*, et al. Forgetting before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models. The Annual Meeting of the Association for Computational Linguistics (ACL), 2024. （CCF A类）
[2] Chenhao Zhang, Renhao Li, Minghuan Tan, Min Yang, Jingwei Zhu, Di Yang, Jiahao Zhao, Guancheng Ye, Chengming Li, Xiping Hu. CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling. In Findings of the Association for Computational Linguistics: ACL 2024. （CCF A类）
[3] Jinchang Hou, Chang Ao, Haihong Wu, Xiangtao Kong, Zhigang Zheng, Chengming Li, et al. E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language Models. In Findings of the Association for Computational Linguistics: ACL 2024. （CCF A类）
[4] Shujie Li, Guanghu Yuan, Min Yang, Ying Shen, Chengming Li, Ruifeng Xu, Xiaoyan Zhao. Improving Semi-Supervised Text Classification with Dual Meta-Learning. ACM Transactions on Information Systems (TOIS), 2024, 42 (4), 1-28. (CCF A类)
[5] Ziqiang Liu, Feiteng Fang, Xi Feng, Xinrun Du, Chenhao Zhang, Zekun Wang, Yuelin Bai, Qixuan Zhao, Liyang Fan, Chengguang Gan, Hongquan Lin, Jiaming Li, Yuansheng Ni, Haihong Wu, Yaswanth Narsupalli, Zhigang Zheng, Chengming Li, et al. II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models. The Thirty-eight Conference on Neural Information Processing Systems (NeurIPS), 2024. (CCF A类)
[6] Yuxuan Hu, Minghuan Tan, Chenwei Zhang, Zixuan Li, Xiaodan Liang, Min Yang*, Chengming Li*, Xiping Hu*. APTNESS: Incorporating Appraisal Theory and Emotion Support Strategies for Empathetic Response Generation. The 33rd ACM International Conference on Information and Knowledge Management (CIKM), 2024. （CCF B类）
[7] Ziqiang Liu, Shujie Li, Zefeng Cai, Xiangyu Li, Yunshui Li, Lei Zhang, Chengming Li*, et al. TP-Link: Fine-grained Pre-Training for Text-to-SQL Parsing with Linking Information. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (COLING), 2024. (CCF B类)
[8] Shiwen Ni, Min Yang, Ruifeng Xu, Chengming Li, Xiping Hu. Layer-wise Regularized Dropout for Neural Language Models. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (COLING), 2024. (CCF B类)
[9] Feiteng Fang, Liang Zhu, Min Yang, Xi Feng, Jinchang Hou, Qixuan Zhao, Chengming Li, et al. CLHA: A Simple yet Effective Contrastive Learning Framework for Human Alignment. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (COLING), 2024. (CCF B类)
[10] Chenwei Zhang, Yuxuan Hu, Min Yang, Chengming Li*, Xiping Hu*. Skeletal Spatial-Temporal Semantics Guided Homogeneous-Heterogeneous Multimodal Network for Action Recognition. The 31st ACM International Conference on Multimedia (MM), October 29-November 3, 2023.（CCF A类）
[11] Feiteng Fang, Min Yang, Chengming Li, Ruifeng Xu. Adversarial Meta Prompt Tuning for Open Compound Domain Adaptive Intent Detection. The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023. （CCF A类）
[12] Tianshu Yu, Min Yang, Chengming Li, Ruifeng Xu. Reducing Spurious Correlations for Relation Extraction by Feature Decomposition and Semantic Augmentation. The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023. （CCF A类）
[13] Lei Chen, Fajie Yuan, Jiaxi Yang, Xiangnan He, Chengming Li*, Min Yang*. User-specific Adaptive Fine-tuning for Cross-domain Recommendations. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, 35(3): 3239-3252 . （CCF A类，IF：9.235）
[14] Ziyu Lyu, Yue Wu, Junjie Lai, Min Yang, Chengming Li and Wei Zhou. Knowledge Enhanced Graph Neural Networks for Explainable Recommendation. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022, 35 (5), 4954-4968. （CCF A类，IF：9.235）
[15] Jing Xiong, Chengming Li*, Min Yang*, Xiping Hu and Bin Hu. Expression Syntax Information Bottleneck for Math Word Problems. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) , pp. 2166-2171, 2022. （CCF A类）
[16] Lei Chen, Jingtao Ding, Min Yang*, Chengming Li*, Chonggang Song and Lingling Yi. Item-Provider Co-learning for Sequential Recommendation. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 1817-1822, 2022. （CCF A类）
[17] Lei Zhang, Min Yang, Chengming Li and Ruifeng Xu. Image-Text Retrieval via Contrastive Learning with Auxiliary Generative Features and Support-set Regularization. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022. (CCF A)
[18] Shujie Li, Min Yang, Chengming Li and Ruifeng Xu. Dual Pseudo Supervision for Semi-Supervised Text Classification with a Reliable Teacher. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022. (CCF A)
[19] Min Yang, Junhao Liu, Ying Shen, Zhou Zhao, Xiaojun Chen, Qingyao Wu*, Chengming Li*. An Ensemble of Generation- and Retrieval-based Image Captioning with Dual Generator Generative Adversarial Network. IEEE Transactions on Image Processing (TIP), 2020, 29: 9627-9640. （CCF A类，中科院一区，IF：11.041）
[20] Junhao Liu, Min Yang, Chengming Li, Ruifeng Xu. Improving Cross-Modal Image-Text Retrieval with Teacher-Student Learning. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021, 38(1): 3242-3253. （中科院一区，IF：5.859）
[21] Min Yang, Qiang Qu, Ying Shen, Zhou Zhao, Xiaojun Chen, Chengming Li*. An Effective Hybrid Learning Model for Real-time Event Summarization. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021, 31(10): 4419-4431. （中科院一区，IF：14.255）
[22] Jieke Li, Min Yang*, Chengming Li*. CLC-RS: A Chinese Legal Case Retrieval System with Masked Language Ranking. The 30th ACM International Conference on Information and Knowledge Management (CIKM), 2021. （CCF B类）
[23] Lihan Wang, Min Yang*, Chengming Li*, Ying Shen, Ruifeng Xu. Abstractive Text Summarization with Hierarchical Multi-scale Abstraction Modeling and Dynamic Memory. The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) , 2021. （CCF A类）
[24] Min Yang, Chengming Li, Ying Shen, Qingyao Wu, Zhou Zhao, Xiaojun Chen. Hierarchical Human-Like Deep Neural Networks for Abstractive Text Summarization. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021, 32(6): 2744-2757. （中科院1区，14.255）
[25] Bowen Qin, Min Yang, Lidong Bing, Qingshan Jiang, Chengming Li, Ruifeng Xu. Exploring Auxiliary Reasoning Tasks for Task-oriented Dialog Systems with Meta Cooperative Learning. Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 35(15):13701-13708, 2021.（CCF A类）
[26] Lei Chen, Fajie Yuan, Jiaxi Yang, Xiang Ao, Chengming Li*, Min Yang*. A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models. Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 35(5):3984-3991, 2021.（CCF A类）
[27] Chunpu Xu, Min Yang, Chengming Li, Ying Shen, Xiang Ao, Ruifeng Xu. Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning. Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 35(4), 3022-3029, 2021. （CCF A类）
[28] Min Yang, Ying Shen, Xiaojun Chen, Chengming Li*. Multi-source Domain Adaptation for Sentiment Classification with Granger Causal Inference. The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 1913-1916, 2020. （CCF A类）
[29] Wanwei He, Min Yang, Rui Yan, Chengming Li, Ying Shen, Ruifeng Xu. Amalgamating Knowledge from Two Teachers for Task-oriented Dialogue System with Adversarial Training. The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 3498-3507, 2020.（CCF B类）
[30] Min Yang, Chengming Li*, Fei Sun, Zhou Zhao, Ying Shen, Chenglin Wu. Be Relevant, Non-redundant, and Timely: Deep Reinforcement Learning for Real-time Event Summarization. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 34(5):9410-9417, 2020. （CCF A类）
