01Language Intelligence & Large Language Models
语言智能与大模型Knowledge enhancement and editing, reasoning and safety, efficient and domain-specific models, language understanding, retrieval, recommendation, and intelligent education.
张 凯，硕士生导师 【中文主页】
Email: kkzhang08@ustc.edu.cn; kkzhang0808@gmail.comAffiliation: School of Computer Science and Technology; School of Data Science @ USTC
State Key Laboratory of Cognitive Intelligence（认知智能全国重点实验室）
Anhui Province Key Laboratory of Big Data Analysis and Application (大数据分析与应用安徽省重点实验室)
Adress: Room 706, Xinzhi Building, Gaoxin Campus of University of Science and Technology of China, Hefei, Anhui, China, 230027
Research Interests
My research is organized around two complementary directions in natural language processing, large language models, multimodal data mining, and AI for science.
02Multimodal Data Mining & AI for Science
多模态数据挖掘与科学智能Multimodal representation, understanding and robust fusion, with scientific applications in spatial omics, chemistry, and biomedical data. In this field, I established the CBIO research group.
| Research Group: CogAI Group —— 认知智能科研小组 | Research Group: CBIO Group —— 科学智能科研小组 |
| Project Page: ✨ MentorClaw —— 导师调研交流助手 | Seminar Booking: CogAI Group —— 研讨会预约 |
Publications by Research Direction
Grouped by primary research focus; interdisciplinary papers are listed once under their closest direction. Within each direction, papers remain in reverse chronological order.
01Language Intelligence & Large Language Models47 papers
语言智能与大模型
Knowledge enhancement and editing, reasoning and safety, efficient and domain-specific models, language understanding, retrieval, recommendation, and intelligent education.
Preprint |
| [1] Kai Zhang, Yuanhui Long, Min Hou, Le Wu, Qi Liu, Enhong Chen. LAZR: LLM-Augmented Zero-Shot Relational Learning via Factor Composition and Ranking-Based SemanticReconstruction, IEEE TKDE, Under Review, 2026.07. [pdf] |
2026 |
| [1] Zhihong Pan, Kai Zhang*, Yuze Zhao, Yupeng Han. Route to Reason: Adaptive Routing for LLM and Reasoning Strategy Selection, The 35th International World Wide Web Conference (WWW'2026): 5568-5578, Dubai, United Arab Emirates, 13 April-17 April, 2026. [pdf] (CCF推荐A类会议) |
| [2] Ze Liu, Xianquan Wang, Shuochen Liu, Jie Ma, Huibo Xu, Yupeng Han, Kai Zhang*, Jun Zhou. From Entity Reliability to Clean Feedback: An Entity-Aware Denoising Framework Beyond Interaction-Level Signals, The 35th International World Wide Web Conference (WWW'2026): 5774-5785, Dubai, United Arab Emirates, 13 April-17 April, 2026. [pdf] (CCF推荐A类会议) |
| [3] Xianquan Wang, Zhaocheng Du, Jieming Zhu, Qinglin Jia, Zhenhua Dong, Kai Zhang*. FairFS: Addressing Deep Feature Selection Biases for Recommender System, The 35th International World Wide Web Conference (WWW'2026): 5875-5885, Dubai, United Arab Emirates, 13 April-17 April, 2026. [pdf] (CCF推荐A类会议) |
| [4] Wenyu Yan, Aoran Gan, Xukai Liu, Yanjiang Chen, Kai Zhang*, Qi Liu. Generative Query Augmentation with Dual-View Contrastive Learning for Dense Retrieval in Conversational Search, The 30th International Conference on Database Systems for Advanced Applications (DASFAA'2026): 170-185, Korea, 27-30 May, 2026. [pdf] (CCF推荐B类会议) |
| [5] Jingyu Peng, Maolin Wang, Nan Wang, Jiatong Li, Yuchen Li, Yuyang Ye, Wanyu Wang, Pengyue Jia, Kai Zhang*, Xiangyu Zhao. Logic Jailbreak: Efficiently Unlocking LLM Safety Restrictions Through Formal Logical Expression, The 63st annual meeting of the Association for Computational Linguistics (ACL'2025): 523–543, San Diego, California, 2-7 July, 2026. [pdf] (CCF推荐A类会议) |
| [6] Yuze Zhao, Junpeng Fang, Lu Yu, Zhenya Huang, Kai Zhang*, Qing Cui, Qi Liu, Jun Zhou, Enhong Chen. What Really Improves Mathematical Reasoning: Structured Reasoning Signals Beyond Pure Code, The Forty-third International Conference on Machine Learning (ICML'2026): xxx-xxxx, Seoul, South Korea, 6-11 July, 2026. [pdf](CCF推荐A类会议) |
| [7] Xianquan Wang, Zhaocheng Du, Song-Li Wu, Zirui Liu, Haotian Zhang, Jintao Zhang, Jieming Zhu, Shuai Wang, Kai Zhang*. Rec2: Embedding Table Reconstruction for Deep Recommender Systems, The 32nd SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2026, Oral): xxx-xxxx, Jeju, Korea, 9-13 Aug, 2026. [pdf](CCF推荐A类会议) |
| [8] 陈建方，邵宇轩，Kai Zhang* (张凯), 刘 淇，甘傲然. 基于大语言模型的知识图谱补全轻量级混合重排序框架, (计算机学报), 已接收. (中文核心, CCF推荐A类/T1级中文期刊) |
| [9] Yupeng Han, Shuocheng Liu, Kai Zhang*, Ze Liu, Zhihong Pan, Xianquan Wang. Learning What to Share and What to Personalize: Hierarchical Strategy Co-Evolution for Agent Memory, The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP'2026), Accepted. [pdf] (CCF推荐B类会议) |
2025 |
| [1] Kai Zhang, Zhihong Pan, Lei Yu, Qi Liu, Hongke Zhao, Chaohcao Chen, Enhong Chen. SimCDR: Preserving Intra-Domain Similarities of Users for Cross-Domain Recommendation, ACM Transactions on Information Systems (ACM TOIS), 44(2):1-27, 2025. [pdf] (CCF推荐A类期刊) |
| [2] Kai Zhang, Weiyin Gong, Qi Liu, Junyu Lu, Meikai Bao, Xukai Liu, Linbo Zhu, Enhong Chen, Intelligent Interaction Platform for Personalized Digital Tutor: Advancing Empathetic and Adaptive Learning Experiences, The 34th International World Wide Web Conference (WWW'2025): 2947-2950, Sydney, Australia, 28 April-2 May, 2025. [pdf] (CCF推荐A类会议) |
| [3] Kai Zhang, Yupeng Han. Harnessing Commonsense: LLM-Driven Knowledge Integration for Fine-Grained Sentiment Analysis , The 34th Conference on Information and Knowledge Management (CIKM'2025): 4106-4116, Seoul, Republic of Korea, 10-14 Nov, 2025. [pdf] (CCF推荐B类会议) |
| [4] Kai Zhang, Hongbo Gang, Feng Hu, Runlong Yu, Qi Liu. Adaptive Ensemble Learning for Efficient Keyphrase Extraction: Diagnosis, Aggregation, and Distillation, Expert Systems with Applications (ESWA), 2025, 127236, ISSN 0957-4174. [pdf] (SCI Q1, JCR Q1) |
| [5] Haoyu Tang, Ye Liu, Xi Zhao, Xukai Liu, Yanghai Zhang, Kai Zhang*, Xiaofang Zhou, and Enhong Chen. Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models, The 25th IEEE International Conference on Data Mining. (ICDM'2025):Washington DC, USA, 12-15 Nov, 2025. (CCF推荐B类会议) |
| [6] Shuaike Li, Kai Zhang*, Qi Liu, Enhong Chen. MindBridge: Scalable and Cross-Model Knowledge Editing via Memory-Augmented Modality, The 63st annual meeting of the Association for Computational Linguistics (ACL'2025): 11999-12013, Vienna, Austria, 27 Jul-1 Aug, 2025. [pdf] [中文解读] [English Interpretation] (CCF推荐A类会议) |
| [7] Junzhe Jiang, Kai Zhang*, Junfeng Kang, Yucong Luo, Min Gao, GEAR: Generalized Alternating Regressor for Multi-Behavior Sequential Recommendation, The 48th International SIGIR Conference on Research and Development in Information Retrieval (SIGIR’2025): 2870-2874, Padua, Italy, 13-18 Jul, 2025. [pdf] (CCF推荐A类会议) |
| [8] Feng Hu, Kai Zhang*, Ye Liu, Meikai Bao, Xukai Liu, Yanjiang Chen, Gang Zhou, Qi Liu. Learnable Relational Knowledge Distillation For Language Model Compression, The 30th International Conference on Database Systems for Advanced Applications (DASFAA'2025): 156-171, Singapore, 26-29 May, 2025. [pdf] (CCF推荐B类会议) |
| [9] Yanjiang Chen, Kai Zhang*, Zhe Yang, Linan Yue, Xinjie Sun, Kun Zhang, Qi Liu. MASS: Mitigating Aspect-oriented Semantic Sparsity for Fine-grained Sentiment Analysis, The 30th International Conference on Database Systems for Advanced Applications (DASFAA'2025): 140-155, Singapore, 26 May-29 May, 2025. (CCF推荐B类会议) |
| [10] Jianfang Chen, Kai Zhang*, Aoran Gan, Shiwei Tong, Shuanghong Shen, Qi Liu. Enhancing Knowledge Graph Completion with Entity Neighborhood and Relation Context, The 30th International Conference on Database Systems for Advanced Applications (DASFAA'2025): 537-546, Singapore, 26 May-29 May, 2025. [pdf] (CCF推荐B类会议) |
| [11] Xinjie Sun, Kai Zhang*, Qi Liu, Shuanghong Shen, Fei Wang, Yuxiang Guo, Enhong Chen. DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 37(4): 1714-1727, April, 2025. [pdf] (CCF推荐A类期刊)(🏆 ESI Highly-cited Paper) |
| [12] Yin Gu, Kai Zhang*, Qi Liu*, Runlong Yu, Xin Lin, Xinjie Sun. ProCC: Programmatic Reinforcement Learning for Efficient and Transparent TCP Congestion Control, The 18th ACM Conference on Web Search and Data Mining (WSDM'2025): 963-972, Hannover, Germany, 10-14 Mar, 2025. [pdf] (CCF推荐B类会议) |
| [13] 赵洪科，叶倩彤，张志勇，Kai Zhang* (张凯)，汪珂航，黄振亚. 低碳算法的发展及压缩和加速技术的应用, (控制与决策), 2025. Doi: 10.13195/2024.0936 [pdf] |
2024 |
| [1] Yanjiang Chen, Kai Zhang*, Feng Hu, Xianquan Wang, Ruikang Li, Qi Liu. Dynamic Multi-granularity Attribution Network for Aspect-based Sentiment Analysis, The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP'2024):10920-10931, Miami, Florida, 12-16 Nov, 2024. [pdf] (CCF推荐B类会议) |
| [2] Changchun Liu, Kai Zhang*, Junzhe Jiang, Zirui Liu, Hanqing Tao, Min Gao, Enhong Chen. ARM: An Alignment-and-Replacement Module for Chinese Spelling Check Based on LLMs, The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP'2024):10156–10168, Miami, Florida, 12-16 Nov, 2024. [pdf] (CCF推荐B类会议) |
| [3] Xukai Liu, Ye Liu, Kai Zhang*, Kehang Wang, Qi Liu, Enhong Chen. OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting, The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP'2024):13634–13651, Miami, Florida, 12-16 Nov, 2024. [pdf] (CCF推荐B类会议) |
| [4] Zhijun Dong, Likang Wu, Kai Zhang*, Ye Liu, Yanghai Zhang, Zhi Li, Hongke Zhao, Enhong Chen. FZR:Enhancing Knowledge Transfer via Shared Factors Composition in Zero-Shot Relational Learning, The 33rd ACM International Conference on Information and Knowledge Management (CIKM'2024):497-507, Boise, Idaho, USA, 21-25 Oct, 2024. [pdf] (CCF推荐B类会议) |
| [5] Jingyu Peng, Qi Liu, Linan Yue, Zaixi Zhang, Kai Zhang*, Yunhao Sha. Towards Few-shot Self-explaining Graph Neural Networks, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD'2024):109-126, Vilnius, Lithuania, 8-12 Sep, 2024. [pdf] (CCF推荐B类会议) |
| [6] Yin Gu, Kai Zhang*, Qi Liu, Weibo Gao, Longfei Li, Jun Zhou, π-light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control, The 38th AAAI Conference on Artificial Intelligence (AAAI'2024): 21107-21115, Vancouver, Canada, 20-27 Feb, 2024. [pdf](CCF推荐A类会议) |
| [7] Xinjie Sun, Kai Zhang*, Qi Liu, Meikai Bao, Yanjiang Chen. Harnessing Domain Insights: A Prompt Knowledge Tuning Method for Aspect-based Sentiment Analysis, Knowledge-Based Systems (KBS), 298, 111975, 2024. [pdf] (SCI Q1, JCR Q1) (🏆 ESI Highly-cited Paper, 🔥 ESI Hot Paper) |
| [8] Yuren Zhang, Min Hou, Kai Zhang*, Yuqing Yuan, Chao Song, Zhihao Ye, Enhong Chen, Yang Yu. Pre-training General User Representation with Multi-type APP Behaviors, The 33rd International Joint Conference on Artificial Intelligence (IJCAI'2024):5535-5544, Jeju, Korea, 3-9 Aug, 2024. [pdf](CCF推荐A类会议) |
| [9] Ye Liu, Kai Zhang*, Aoran Gan, Linan Yue, Feng Hu, Qi Liu, Enhong Chen. Empowering Few-Shot Relation Extraction with The Integration of Traditional RE Methods and Large Language Models, The 29th International Conference on Database Systems for Advanced Applications (DASFAA'2024):349-359, Gifu, Japan, 2–5 July, 2024. [pdf] (CCF推荐B类会议) |
| [10] Xinjie Sun, Kai Zhang*, Shuanghong Shen, Fei Wang, Yuxiang Guo, Qi Liu. Target hierarchy-guided knowledge tracing: Fine-grained knowledge state modeling, Expert Systems with Applications (ESWA). 2024, 123898, ISSN 0957-4174. [pdf] (SCI Q1, JCR Q1) |
| [11] Kehang Wang, Ye Liu, Kai Zhang*, Qi Liu, Yankun Ren, Xinxin Yang, Longfei Li, Jun Zhou. QoMRC: Query-oriented Machine Reading Comprehension Framework for Aspect Sentiment Triplet Extraction, The 29th International Conference on Database Systems for Advanced Applications (DASFAA'2024):173-189, Gifu, Japan, 2–5 July, 2024. [pdf](CCF推荐B类会议) |
| [12] Yanjiang Chen, Kai Zhang*, Zirui Liu, Meikai Bao, Xukai Liu, Qi Liu. SISK: Integrating Aspect-oriented Semantic Information and Syntactic Knowledge for Aspect-based Sentiment Analysis, 2024 International Conference on Computational Linguistics and Natural Language Processing (CLNLP'2024):64-70, Ningxia Yinchuan, 19-21 Jul, 2024. [pdf] |
| [13] Bin Hong, Jinze Wu, Jiayu Liu, Liang Ding, Jing Sha, Kai Zhang*, Shijin Wang, Zhenya Huang. End-to-End Graph Flattening Method for Large Language Models, 2024 International Conference on Computational Linguistics and Natural Language Processing (CLNLP'2024):41-49, Ningxia Yinchuan, 19-21 Jul, 2024. [pdf] |
| [14] 刘昌春，Kai Zhang* (张凯)，包美凯，刘 烨，刘 淇. 基于语境与文本结构融合的中文拼写纠错方法, (南大学报). 60(3): 451-463, 2024. [pdf] |
2023 |
| [1] Xukai Liu, Kai Zhang*, Ye Liu, Enhong Chen, Zhenya Huang, Linan Yue, Jiaxian Yan, RHGH: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs, The 61st annual meeting of the Association for Computational Linguistics (ACL’2023): 8683 - 8696, Toronto, Canada, 9-14 July, 2023. [pdf] [code] (CCF推荐A类会议) |
| [2] Ye Liu, Kai Zhang*, Zhenya Huang, Kehang Wang, Yanghai Zhang, Qi Liu, Enhong Chen*, Enhancing Hierarchical Text Classification through Knowledge Graph Integration, The 61st annual meeting of the Association for Computational Linguistics (ACL’2023): 5797 - 5810, Toronto, Canada, 9-14 July, 2023. [pdf] [code] (CCF推荐A类会议) |
2022 |
| [1] Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen. Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification, The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’2022): 1566–1576, Madrid, Spain, 11-15 July, 2022. [pdf] [slide] [datafun talk] [code] (CCF推荐A类会议) |
| [2] Kai Zhang, Kun Zhang, Mengdi Zhang, Hongke Zhao, Qi Liu, Wei Wu, Enhong Chen. Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis, The 60th annual meeting of the Association for Computational Linguistics (ACL’2022): 3599 - 3610, Dublin, Ireland, 22-27 May, 2022. [pdf] [slide] [poster] [code] (CCF推荐A类会议) |
2021 |
| [1] Kai Zhang, Qi Liu, Hao Qian, Biao Xiang, Qing Cui, Jun Zhou, Enhong Chen. EATN: An Efficient Adaptive Transfer Network for Aspect-level Sentiment Analysis, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 33(1): 377-389, January 2023. [pdf] [slide] [code] [code] (CCF推荐A类期刊)(🏆 ESI Highly-cited Paper, 🔥 ESI Hot Paper) |
| [2] Kai Zhang, Hao Qian, Qing Cui, Qi Liu, Longfei Li, Jun Zhou, Jianhui Ma, Enhong Chen. Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction, The 14th ACM Conference on Web Search and Data Mining (WSDM’2021): 984–992, Jerusalem, Israel, March 8-12, 2021. [pdf] [slide] [poster] [code] (CCF推荐B类会议) |
| [3] Kai Zhang, Hao Qian, Qi Liu, Zhiqiang Zhang, Jun Zhou, Jianhui Ma, Enhong Chen. SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation, The 30th ACM International Conference on Information and Knowledge Management (CIKM’2021): 3627–3631, Gold Coast, Queensland, Australia, 1-5 November, 2021. [pdf] [slide] [poster] [code] (CCF推荐B类会议) |
~ 2021 |
| [1] Kai Zhang (张凯)，赵洪科，刘 淇，潘 镇，陈恩红. 基于动静态表征的众筹协同预测方法, (软件学报). 31(4): 967-980, 2020. (论文会议版本获第十七届中国机器学习会议 🎉🎉🎉 “最佳学生论文奖”). [pdf] [slide] [code] (中文核心, CCF推荐A类期刊) |
| [2] Kai Zhang, Hongke Zhao, Qi Liu, Zhen Pan, Enhong Chen. A Dynamic and Cooperative Tracking System for Crowdfunding. The arXiv: 847, 2019. [pdf] [code] |
| [3] Kai Zhang, Hefu Zhang, Qi Liu, Hongke Zhao, Hengshu Zhu, Enhong Chen. Interactive Attention Transfer Network for Cross-domain Sentiment Classification, The 33th AAAI Conference on Artificial Intelligence (AAAI'2019): 5773-5780, Honolulu, Hawaii, United States, 2019.1.27-2019.2.2. [pdf] [slide] [poster] [code] (CCF推荐A类会议) |
![[poster]](http://home.ustc.edu.cn/~sa517494/files/acl22_poster.png){kind=link}
![[poster]](http://home.ustc.edu.cn/~sa517494/files/wsdm21_poster.png){kind=link}
![[poster]](http://home.ustc.edu.cn/~sa517494/files/cikm21_poster.png){kind=link}
02Multimodal Data Mining & AI for Science20 papers
多模态数据挖掘与科学智能Multimodal representation, understanding and robust fusion, with scientific applications in spatial omics, proteins, chemistry, and biomedical data.
Preprint |
| [1] Yuhang Yang†, Yiming Luo†, Kai Zhang*, Yonggan Bu, Zheng Xia, Haoxin Peng, Rui Yan, Qi Liu, Defu Lian, Yang Chen*, Lin Shen*, Enhong Chen*. Reconstructing True 3D Spatial Omics at Single-Cell Resolution, Nature Biomedical Engineering, Under Review, 2026.05. [pdf] [project page] [code] [中文解读] |
| [2] Yuhang Yang†, Ruikang Li†, Jifei Ma, Kai Zhang*, Qi Liu, Jianyu Han, Yonggan Bu, Jibin Zhou, Defu Lian, Xin Li, Enhong Chen*. CeProAgents: A Hierarchical Agents System for Automated Chemical Process Development, Under Review, 2026.04. [pdf] [code] |
| [3] Yupeng Han, Kai Zhang*, Xianquan Wang, Ze Liu, Zhihong Pan, Xiangyu Zhao, Qi Liu, Enhong Chen. Fuzzy-Boundary Prototypical Clustering for Semantics Discovery in Multimodal Utterances, IEEE TPAMI, Under Review, 2026.08. [pdf] |
| [4] Kai Zhang, Shuaike Li, Meikai Bao, Shuanghong Shen, Zhenya Huang, Qi Liu, Enhong Chen. UniBridge: A Unified Memory Modality Framework for Scalable, Cross-Model, and Multimodal Knowledge Editing, IEEE TKDE, Under Review, 2026.05. [pdf] |
| [5] Kai Zhang, Mingzheng Yang, Qi Liu, Enhong Chen. Decoupling and Reconstructing: a Multimodal Sentiment Analysis Framework Towards Robustness, IEEE TPAMI, Under Review, 2026.08. [pdf] |
2026 |
| [1] Jiaxian Yan†, Jintao Zhu†, Yuhang Yang, Qi Liu*, Kai Zhang, Zaixi Zhang, Xukai Liu, Boyan Zhang, Kaiyuan Gao, Jinchuan Xiao, Enhong Chen. BioMiner: A multi-modal system for automated mining of protein-ligand bioactivity data from literature, Nature Communications, Accept, 2026.09. (Nature子刊, IF:18.2) [pdf] [code] [中文解读] |
| [2] Yuhang Yang†, Yiming Luo†, Kai Zhang*, Zaixi Zhang, Haoxin Peng, Chenlin Cao, Qi Liu, Bin Ma, Yang Chen*, Lin Shen*, Enhong Chen*. Enhancing Pan-cancer Spatial Transcriptomics at Single-cell Resolution with stPainter, Nature Communications, 17, 9578 (2026). (Nature子刊, IF:18.2) [pdf] [code] [中文解读] |
| [3] Ze Liu, Kai Zhang*, Xianquan Wang, Shuochen Liu, Jiaxian Yan, Yupeng Han, Qi Liu. From Pixel to Precision: Enhancing Handwritten Mathematical Expression Recognition with Image-Level Reward, The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'2026): 25948-25957, Denver CO, USA, 3 June-7 June, 2026. [pdf] (CCF推荐A类会议) |
| [4] Yupeng Han, Kai Zhang*, Xianquan Wang, Zhihong Pan, Ze Liu, Jiyuan He. Trust, but Verify: Uncertainty-Driven Evidential Multimodal Representation Learning, The 35th International Joint Conference on Artificial Intelligence (IJCAI'2026): xxx-xxxx, Bremen, Germany, 15-21 Aug, 2026. [pdf](CCF推荐B类会议) |
| [5] Weiyin Gong, Kai Zhang*, Xinjie Sun, Yanghai Zhang, Hui Li. DUMIR: Dynamic Uncertainty-Aware Multimodal Intent Recognition, Pattern Recognition (PR), Accept, 2026. [pdf](SCI Q1, JCR Q1, IF:9.1) |
2025 |
| [1] Qi Liu, Yunhao Sha, Kai Zhang*, Zhenya Huang, Linbo Zhu, Junyu Lu, Yu Su. Advancements in Digital Humans for Recorded Courses: Enhancing Learning Experiences via Personalized Interaction, Frontiers of Digital Education 2 (4), 35 (FDE). [pdf] |
| [2] Xianquan Wang, Zhaocheng Du, Huibo Xu, Shukang Yin, Yupeng Han, Jieming Zhu, Kai Zhang*, Qi Liu. Personalized Visual Content Generation in Conversational Systems, The 39th Conference on Neural Information Processing Systems (NeurIPS’2025):San Diego, USA, 2-7 Dec, 2025. [pdf] (CCF推荐A类会议) |
| [3] Yongcong Ye, Kai Zhang*, Yanghai Zhang, Enhong Chen, Longfei Li, Jun Zhou. Fine-Grained Zero-Shot Composed Image Retrieval with Complementary Visual-Semantic Integration, The 25th IEEE International Conference on Data Mining. (ICDM'2025):Washington DC, USA, 12-15 Nov, 2025. (CCF推荐B类会议) |
| [4] Dongsheng Tian, Junzhe Jiang, Kai Zhang*, Changchun Liu, Yu Yuan, Min Gao, Enhong Chen*. ECG-Doctor: An Interpretable Multimodal ECG Diagnosis Framework Based on Large Language Models, The 34th Conference on Information and Knowledge Management (CIKM'2025): 2863-2873, Seoul, Republic of Korea, 10-14 Nov, 2025. [pdf] (CCF推荐B类会议) |
| [5] Weiyin Gong, Kai Zhang*, Yanghai Zhang, Qi Liu, Xinjie Sun, Junyu Lu, Linbo Zhu. WDMIR: Wavelet-Driven Multimodal Intent Recognition, The 34th International Joint Conference on Artificial Intelligence (IJCAI'2025): 5226-5234, Montreal, Canada, 16-22 Aug, 2025. [pdf](CCF推荐A类会议) |
| [6] Mingzheng Yang, Kai Zhang*, Yuyang Ye, Yanghai Zhang, Runlong Yu, Min Hou. Decoupling and Reconstructing: a Multimodal Sentiment Analysis Framework Towards Robustness, The 34th International Joint Conference on Artificial Intelligence (IJCAI'2025): 6803-6811, Montreal, Canada, 16-22 Aug, 2025. [pdf](CCF推荐A类会议) |
| [7] Ruikang Li, Jiaxian Yan, Kai Zhang*, Yanjiang Chen, Qi Liu, Min Gao, Enhong Chen. Enhancing Protein-Ligand Binding Affinity Prediction via Parameter-Efficient Fine-Tuning of Protein and Chemical Language Models, The 30th International Conference on Database Systems for Advanced Applications (DASFAA'2025): 149-164, Singapore, 26 May-29 May, 2025. [pdf] (CCF推荐B类会议) |
| [8] Bo Hu, Kai Zhang*, Yanghai Zhang, Yuyang Ye. Adaptive Multimodal Fusion: Dynamic Attention Allocation for Intent Recognition, The 38th AAAI Conference on Artificial Intelligence (AAAI'2025): 17267-17275, Philadelphia, USA, 25 Feb-4 Mar, 2025. [pdf] (CCF推荐A类会议) |
2024 |
| [1] Yanghai Zhang, Ye Liu, Shiwei Wu, Kai Zhang*, Xukai Liu, Qi Liu, Enhong Chen. Leveraging Entity Information for Cross-Modality Correlation Learning: The Entity-Guided Multimodal Summarization, The 62st annual meeting of the Association for Computational Linguistics (ACL'2024):9851-9862, Bangkok, Thailand, 11-16 Aug, 2024. [pdf] (CCF推荐A类会议) |
| [2] Ruikang Li, Jiaxian Yan, Kai Zhang*. MSP: A Multi-level Structures-based Framework with Multi-level Pre-training for Protein-Ligand Binding Affinity Prediction, 2024 International Conference on Computational Linguistics and Natural Language Processing (CLNLP'2024):57-63, Ningxia Yinchuan, 19-21 Jul, 2024. [pdf] |
Academic Services
| [0] IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI) |
| [1] IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE) |
| [2] ACM Transactions on Information Systems (ACM TOIS) |
| [3] ACM Transactions on Knowledge Discovery from Data (ACM TKDD) |
| [4] IEEE Transactions on Affective Computing (IEEE TAC) |
| [5] IEEE Transactions on Systems, Man, and Cybernetics (IEEE TSMC) |
| [6] IEEE Transactions on Multimedia (IEEE TMM) |
| [7] IEEE Transactions on Big Data (TBD) |
| [8] Frontiers of Computer Science (FCS) |
| [9] International Journal of Data Science and Analytics (JDSA) |
| [10] CAAI International Conference on Artificial Intelligence (CAAI): 2022, 2023 |
| [11] EMNLP International Conference on Empirical Methods in Natural Language Processing (EMNLP): 2022,2023,2024,2025 |
| [12] ACL Association for Computational Linguistics (ACL) Rolling Review: 2022,2023,2024,2025 |
| [13] AAAI Association for the Advancement of Artificial Intelligence (AAAI): 2023,2024,2025 |
| [14] ACL Annual Meeting of the Association for Computational Linguistics (ACL): 2023,2024,2025 |
| [15] IJCAI International Joint Conference on Artificial Intelligence (IJCAI): 2023,2024,2025 |
| [16] SIAM International Conference on Data Mining (SDM): 2023,2024,2025 |
| [17] International Conference on Database Systems for Advanced Applications (DASFAA): 2023,2024,2025 |
| [18] The North American Chapter of the Association for Computational Linguistics (NAACL): 2024 |
| [19] The European Chapter of the Association for Computational Linguistics (EACL): 2024 |
| [20] The International Conference on Research and Development in Information Retrieval (SIGIR): 2024,2025 |
| [21] ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD): 2024,2025 |
| [22] The International World Wide Web Conference (The Web Conference/WWW): 2024,2025 |
| [23] The Annual Conference on Neural Information Processing Systems (NeurIPS): 2025 |
Teaching
| 新媒体大数据分析/ New Media Big Data Analysis | 本科生课程 (NNM2011.01, 第1-18周, 5505) | 秋季学期, 2023 |
| 新媒体大数据分析/ New Media Big Data Analysis | 本科生课程 (NNM2011.01, 第1-18周, 2303) | 秋季学期, 2024 |
| 自然语言处理/ Natural Language Processing | 研究生课程 (EIEN6410P.01, 第1-18周, GT-C103) | 秋季学期, 2024 |
| 自然语言理解/ Natural Language Processing | 研究生课程 (COMP6210P.01, 第1-16周, G3-109) | 春季学期, 2025 |
| 新媒体大数据分析/ New Media Big Data Analysis | 本科生课程 (NNM2011.01, 第1-18周, 2303) | 秋季学期, 2025 |
| 自然语言处理/ Natural Language Processing | 研究生课程 (EIEN6410P.01, 第1-18周, GT-A405) | 秋季学期, 2025 |
| 自然语言理解/ Natural Language Processing | 研究生课程 (COMP6210P.01, 第1-18周, G3-110) | 春季学期, 2026 |
| 新媒体大数据分析/ New Media Big Data Analysis | 本科生课程 (NNM2012.01, 第1-18周, 2303) | 秋季学期, 2026 |
Honers and Awards
| [1] 中国机器学习会议·最佳学生论文 | 中国人工智能学会（CAAI） | 2019年8月 |
| [2] 博士研究生·国家奖学金 | 中华人民共和国教育部 | 2019年10月 |
| [3] 中国科学技术大学·优秀毕业生 | 中国科学技术大学（USTC） | 2022年4月 |
| [4] 庆峰杯创新创业大赛季军 | 中国科大&庆峰创新创业基金 | 2022年5月 |
| [5] 学生创新创业基金（排名第三） | 中国科学技术大学（USTC） | 2022年6月 |
| [6] 中国科学院·院长奖学金 | 中国科学院（CAS） | 2022年6月 |
| [7] 博士研究生·国家奖学金 | 中华人民共和国教育部 | 2022年10月 |
| [8] 国际人工智能会议·最佳论文候选 | 中国人工智能学会（CAAI） | 2023年8月 |
| [9] 小米青年学者 | 小米公益基金会 | 2024年2月 |
| [10] 中国智能技术与大数据会议·优秀论文 | 中国人工智能学会（CAAI） | 2024年11月 |
| [11] 墨子杰出青年特资津贴（一等） | 中国科学技术大学（USTC） | 2024年12月 |
| [12] 中国人工智能学会博士论文激励计划提名 | 中国人工智能学会（CAAI） | 2025年1月 |
| [13] 腾讯犀牛鸟精英人才计划入选学生导师 | 腾讯公司·高校合作部 | 2025年5月 |