Kai Zhang picture

Kai Zhang

Ph.D.
USTC, Hefei, Anhui, China
Room 706, Xinzhi Building, Gaoxin Campus

张 凯,特任副研究员,硕士生导师

Email: kkzhang08@ustc.edu.cn; kkzhang0808@gmail.com


Affiliation: 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

I received my Ph.D. degree in computer science from USTC in April 2023, co-supervised by Prof. Enhong Chen and Prof. Qi Liu.

I engage in research in the field of Natural Language Processing (NLP) and Text Data Mining. This area involves representation, understanding, and inference of natural language, which can help machine systems better understand human language. I conduct research in three main sub-areas of NLP: (1) Fine-grained semantic representation learning, (2) knowledge-guided semantic transfer, and (3) Domain adaptation in NLP.

Currently, I am studying how to imbue large language models (LLMs) with more human-like knowledge, as well as how to reduce the resource consumption of these large models. I'm also developing tools and interfaces to facilitate lighter, smarter, and more professional domain-specific large language models.

Publications


(in reverse chronological order by year)

【2024】

- 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). Accepted. (CCF推荐A类会议)

- Zhe Yang, Qi Liu, Kai Zhang, Shiwei Tong, Enhong Chen, GAP: A Grammar and Position-Aware Framework for Efficient Recognition of Multi-Line Mathematical Formulas, The 17th ACM Conference on Web Search and Data Mining (WSDM'2024). Accepted. (CCF推荐B类会议)

【2023】

- Yang Yu, Qi Liu, Kai Zhang, Yuren Zhang, Chao Song, Min Hou, Yuqing Yuan, Zhihao Ye, Zaixi Zhang, Lei Yu, AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking, The 37th Conference on Neural Information Processing Systems (NeurIPS’2023). Accepted. [pdf] [code] (CCF推荐A类会议)

- 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)

- 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)

- Yin Gu, Kai Zhang, Qi Liu, Xin Lin, Zhenya Huang, Enhong Chen, MassNE: Exploring Higher-Order Interactions with Marginal Effect for Massive Battle Outcome Prediction, The 32th International World Wide Web Conference (WWW'2023): 2710-2718, Austin, Texas, April 30 - May 4, 2023. [pdf] [code] (CCF推荐A类会议)

- Meikai Bao, Qi Liu, Kai Zhang, Ye Liu, Linan Yue, Longfei Li, Jun Zhou, Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering, The 32nd International Joint Conference on Artificial Intelligence (IJCAI'2023): 5012-5020, Macao, China, 18-25 Aug, 2023. [pdf] (CCF推荐A类会议)

- Kehang Wang, Qi Liu, Kai Zhang, Ye Liu, Hanqin Tao, Zhenya Huang, Enhong Chen, Class-Dynamic and Hierarchy-Constrained Network for Entity Linking, The 28rd International Conference on Database Systems for Advanced Applications (DASFAA'2023): 622-638, Tianjin, China, April 17–20, 2023. [pdf] [code] (CCF推荐B类会议)

- Longhu Qin, Jiayu Liu, Zhenya Huang, Kai Zhang, Qi Liu, Enhong Chen, A Mathematical Word Problem Generator with Structure Planning and Knowledge Enhancement, The 46th International SIGIR Conference on Research and Development in Information Retrieval (SIGIR’2023): 1750-1754, Taipei, 23-27 July, 2023. [pdf] (CCF推荐A类会议)

- Junji Jiang, Hongke Zhao, Ming He, Likang Wu, Kai Zhang, Jianping Fan, Knowledge-Aware Cross-Semantic Alignment for Domain-Level Zero-Shot Recommendation, The 32nd ACM International Conference on Information and Knowledge Management (CIKM’2023). Accepted. (CCF推荐B类会议)

- Xin Jin, Qi Liu, Linan Yue, Ye Liu, Lili Zhao, Weibo Gao, Zheng Gong, Kai Zhang, Haoyang Bi, Diagnosis then Aggregation: An Adaptive Ensemble strategy for Keyphrase Extraction, CAAI International Conference on Artificial Intelligence 2023 (CICAI’2023). Accepted. (🎉🎉🎉 “Finalist of Best Paper Award”)

【2022】

- 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)

- 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)

- Hao Qian, Qingtong Wu, Kai Zhang, Zhiqiang Zhang, Lihong Gu, Xiaodong Zeng, Jun Zhou, Jinjie Gu, Scope-aware Re-ranking with Gated Attention in Feed, The 15th ACM Conference on Web Search and Data Mining (WSDM'2022): 804–812, Phoenix, AZ, USA, February 21-25, 2021. [pdf] (CCF推荐B类会议)

- Song Cheng, Qi Liu, Enhong Chen, Kai Zhang, Zhenya Huang, Yu Yin, Xiaoqing Huang, Yu Su, AdaptKT: A Domain Adaptable Method for Knowledge Tracing, The 15th ACM Conference on Web Search and Data Mining (WSDM'2022): 123–131, Phoenix, AZ, USA, February 21-25, 2021. [pdf] (CCF推荐B类会议)

- Xuemei Wei, Chunli Liu, Yezheng Liu, Yang Li, Kai Zhang, Next Location Recommendation: A Multi-context Features Integration Perspective, in World Wide Web (WWWJ): 1-24, 2022.

【2021】

- 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] (CCF推荐A类国际期刊)

- 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)

- 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)

- Yin Gu, Qi Liu, Kai Zhang, Zhenya Huang, Runze Wu, Jianrong Tao, NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction, The 35th AAAI Conference on Artificial Intelligence (AAAI'2021): 35(5), 4072-4080, Virtual Conference, February 2-9, 2021. [pdf] [code] (CCF推荐A类会议)

- Linan Yue, Qi Liu, Binbin Jin, Han Wu, Kai Zhang, Yanqing An, Mingyue Cheng, Biao Yin, Dayong Wu, NeurJudge: A Circumstance-aware Neural Framework for Legal Judgment Prediction, The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2021): 973–982, Virtual Conference, July 11-15, 2021. [pdf] [slide] (CCF推荐A类会议)

- Yanqing An, Qi Liu, Han Wu, Kai Zhang, Linan Yue, Mingyue Cheng, Hongke Zhao, Enhong Chen, LawyerPAN: A Proficiency Assessment Network for Trial Lawyers, The 27th International ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2021): 5–13, Virtual Conference, August 14-18, 2021. [pdf] [code] (CCF推荐A类会议)

- Lili Zhao, Linan Yue, Yanqing An, Ye Liu, Kai Zhang, Weidong He, Yanmin Chen, Senchao Yuan, Qi Liu, Legal Judgment Prediction with Multiple Perspectives on Civil Cases, CAAI International Conference on Artificial Intelligence (CAAI'2021): 712–723, Hang Zhou, China, June 5-6, 2021. [pdf]

【~ 2020】

- 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类中文期刊)

- Kai Zhang, Hongke Zhao, Qi Liu, Zhen Pan, Enhong Chen. A Dynamic and Cooperative Tracking System for Crowdfunding. The arXiv: 847, 2019. [pdf] [code]

- 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)

Academic Services

- IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE)

- IEEE Transactions on Affective Computing (IEEE TAC)

- IEEE Transactions on Systems, Man, and Cybernetics (IEEE TSMC)

- Frontiers of Computer Science (FCS)

- Journal of Tsinghua Science and Technology (TST)

- International Journal of Data Science and Analytics (JDSA)

- CAAI International Conference on Artificial Intelligence (CAAI): 2022, 2023

- ACL Association for Computational Linguistics (ACL) Rolling Review (ARR-Jun): 2022

- EMNLP International Conference on Empirical Methods in Natural Language Processing (EMNLP): 2022,2023

        · Track of Language Modeling and Analysis of Language Models

        · Track of Sentiment Analysis, Stylistic Analysis, and Argument Mining

        · Track of Unsupervised and Weakly-Supervised Methods in NLP

- ACL Association for Computational Linguistics (ACL) Rolling Review (ARR-Dec): 2022

- AAAI Association for the Advancement of Artificial Intelligence (AAAI): 2023

- ACL Annual Meeting of the Association for Computational Linguistics (ACL): 2023,2024

- IJCAI International Joint Conference on Artificial Intelligence (IJCAI): 2023,2024

- SIGKDD International Conference on Knowledge Discovery And Data Mining (KDD): 2023,2024

- SIAM International Conference on Data Mining (SDM): 2024

- International Conference on Database Systems for Advanced Applications (DASFAA): 2024

- The North American Chapter of the Association for Computational Linguistics (NAACL): 2024

- The European Chapter of the Association for Computational Linguistics (EACL): 2024

Last Updated in 2023.12
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