[1] Ningning Ma, Xiangyu Zhang, Hai-Tao Zheng*, Jian Sun. ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design. Proceedings of the European Conference on Computer Vision (ECCV), 2018: 116-131. （ECCV 2018，获 2019 年 VALSE 年度杰出学生论文奖）
[2] Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng*, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun. Parameter-efficient Fine-tuning of Large-scale Pre-trained Language Models. Nature Machine Intelligence, 2023, 5(3): 220-235. （Nature Machine Intelligence 封面论文，IF 23.9；获 2023 世界人工智能大会青年优秀论文奖、中国算力大会最佳学术论文奖）
[3] Tianyu Yu, Yuan Yao, Haoye Zhang, Taiwen He, Yifeng Han, Ganqu Cui, Jinyi Hu, Zhiyuan Liu, Hai-Tao Zheng*, Maosong Sun, Tat-Seng Chua. RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024: 13807-13816. （CVPR 2024，CCF A 类会议）
[4] Ning Ding, Shengding Hu, Weilin Zhao, Yulin Chen, Zhiyuan Liu, Hai-Tao Zheng*, Maosong Sun. OpenPrompt: An Open-source Framework for Prompt-learning. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations (ACL), 2022: 105-113. （ACL 2022，CCF A 类会议；获 ACL 2022 最佳系统展示论文奖）
[5] Ning Ding, Guangwei Xu, Yulin Chen, Xiaobin Wang, Xu Han, Pengjun Xie, Hai-Tao Zheng*, Zhiyuan Liu. Few-NERD: A Few-shot Named Entity Recognition Dataset. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) (ACL), 2021: 3198-3213. （ACL 2021，CCF A 类会议）
[6] Ning Ding, Yulin Chen, Xu Han, Guangwei Xu, Xiaobin Wang, Pengjun Xie, Hai-Tao Zheng*, Zhiyuan Liu, Juanzi Li, Hong-Gee Kim. Prompt-learning for Fine-grained Entity Typing. Findings of the Association for Computational Linguistics: EMNLP 2022, 2022: 6888-6901. （EMNLP 2022 Findings）
[7] Ying Shen, Ning Ding, Hai-Tao Zheng*, Yaliang Li, Min Yang. Modeling Relation Paths for Knowledge Graph Completion. IEEE Transactions on Knowledge and Data Engineering, 2020, 33(11): 3607-3617. （TKDE，CCF A 类期刊，IF 10.4）
[8] Dong Wang, Ning Ding, Piji Li, Hai-Tao Zheng*. CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) (ACL), 2021: 2332-2342. （ACL 2021，CCF A 类会议）
[9] Tong Wu, Zhihao Fan, Xiao Liu, Hai-Tao Zheng*, Yeyun Gong, Jian Jiao, Juntao Li, Jian Guo, Nan Duan, Weizhu Chen. AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation. Advances in Neural Information Processing Systems (NeurIPS), 2023, 36: 39957-39974. （NeurIPS 2023，CCF A 类会议）
[10] Ruiyang Liu, Yinghui Li, Linmi Tao, Dun Liang, Hai-Tao Zheng*. Are We Ready for a New Paradigm Shift? A Survey on Visual Deep MLP. Patterns, 2022, 3(7). （Patterns，Cell Press）
[11] Rui Li, Xi Xiao, Shiguang Ni, Hai-Tao Zheng*, Shutao Xia. Byte Segment Neural Network for Network Traffic Classification. 2018 IEEE/ACM 26th International Symposium on Quality of Service (IWQoS), 2018: 1-10. （IWQoS 2018，CCF B 类会议）
[12] Ziran Li, Ning Ding, Zhiyuan Liu, Hai-Tao Zheng*, Ying Shen. Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), 2019: 4377-4386. （ACL 2019，CCF A 类会议）
[13] Hai-Tao Zheng*, Bo-Yeong Kang, Hong-Gee Kim. Exploiting Noun Phrases and Semantic Relationships for Text Document Clustering. Information Sciences, 2009, 179(13): 2249-2262. （Information Sciences，SCI JCR 一区期刊）
[14] Jinpeng Wang, Ziyun Zeng, Yunxiao Wang, Yuting Wang, Xingyu Lu, Tianxiang Li, Jun Yuan, Rui Zhang, Hai-Tao Zheng*, Shu-Tao Xia. MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation. Proceedings of the 31st ACM International Conference on Multimedia (ACM MM), 2023: 6548-6557. （ACM MM 2023，CCF A 类会议）
[15] Yangning Li, Shirong Ma, Xiaobin Wang, Shen Huang, Chengyue Jiang, Hai-Tao Zheng*, Pengjun Xie, Fei Huang, Yong Jiang. EcomGPT: Instruction-tuning Large Language Models with Chain-of-task Tasks for E-commerce. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024, 38(17): 18582-18590. （AAAI 2024，CCF A 类会议）
[16] Xingyu Lu, Tianke Zhang, Chang Meng, Xiaobei Wang, Jinpeng Wang, Yi-Fan Zhang, Shisong Tang, Changyi Liu, Haojie Ding, Kaiyu Jiang, Kaiyu Tang, Bin Wen, Hai-Tao Zheng*, Fan Yang, Tingting Gao, Di Zhang, Kun Gai. VLM as Policy: Common-law Content Moderation Framework for Short Video Platform. Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), 2025: 4682-4693. （SIGKDD 2025，CCF A 类会议；获 ACM SIGKDD 2025 最佳论文荣誉提名奖）
[17] Yinghui Li, Jiayi Kuang, Haojing Huang, Zhikun Xu, Xinnian Liang, Yi Yu, Wenlian Lu, Yangning Li, Xiaoyu Tan, Chao Qu, Ying Shen, Hai-Tao Zheng, Philip S. Yu. One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs. Proceedings of the 42nd International Conference on Machine Learning (ICML), 2025. （ICML 2025，CCF A 类会议）
[18] Yangning Li, Shaoshen Chen, Yinghui Li, Yankai Chen, Hai-Tao Zheng, Hui Wang, Wenhao Jiang, Philip S. Yu. AdmTree: Compressing Lengthy Context with Adaptive Semantic Trees. Advances in Neural Information Processing Systems (NeurIPS), 2025, 38: 40389-40415. （NeurIPS 2025，CCF A 类会议）
