Kai Zhang

According to our database, Kai Zhang authored at least 61 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

LGS-KT: Integrating logical and grammatical skills for effective programming knowledge tracing.

Xinjie Sun, Qi Liu, Kai Zhang, Shuanghong Shen, Yan Zhuang, Yuxiang Guo

Neural Networks, 2025

ProCC: Programmatic Reinforcement Learning for Efficient and Transparent TCP Congestion Control.

Yin Gu, Kai Zhang, Qi Liu, Runlong Yu, Xin Lin, Xinjie Sun

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

2024

Caption matters: a new perspective for knowledge-based visual question answering.

Bin Feng, Shulan Ruan, Likang Wu, Huijie Liu, Kai Zhang, Kun Zhang, Qi Liu, Enhong Chen

Knowl. Inf. Syst., November, 2024

Harnessing domain insights: A prompt knowledge tuning method for aspect-based sentiment analysis.

Xinjie Sun, Kai Zhang, Qi Liu, Meikai Bao, Yanjiang Chen

Knowl. Based Syst., 2024

Target hierarchy-guided knowledge tracing : Fine-grained knowledge state modeling.

Xinjie Sun, Kai Zhang, Shuanghong Shen, Fei Wang, Yuxiang Guo, Qi Liu

Expert Syst. Appl., 2024

Stepwise Reasoning Error Disruption Attack of LLMs.

Jingyu Peng, Maolin Wang, Xiangyu Zhao, Kai Zhang, Wanyu Wang, Pengyue Jia, Qi Liu, Ruocheng Guo, Qi Liu

CoRR, 2024

Optimizing Student Ability Assessment: A Hierarchy Constraint-Aware Cognitive Diagnosis Framework for Educational Contexts.

Xinjie Sun, Qi Liu, Kai Zhang, Shuanghong Shen, Fei Wang, Yan Zhuang, Zheng Zhang, Weiyin Gong, Shijin Wang, Lina Yang, Xingying Huo

CoRR, 2024

Unified Parameter-Efficient Unlearning for LLMs.

Chenlu Ding, Jiancan Wu, Yancheng Yuan, Jinda Lu, Kai Zhang, Alex Su, Xiang Wang, Xiangnan He

CoRR, 2024

End-to-End Graph Flattening Method for Large Language Models.

Bin Hong, Jinze Wu, Jiayu Liu, Liang Ding, Jing Sha, Kai Zhang, Shijin Wang, Zhenya Huang

CoRR, 2024

KnowPC: Knowledge-Driven Programmatic Reinforcement Learning for Zero-shot Coordination.

Yin Gu, Qi Liu, Zhi Li, Kai Zhang

CoRR, 2024

Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models.

Haoyu Tang, Ye Liu, Xukai Liu, Kai Zhang, Yanghai Zhang, Qi Liu, Enhong Chen

CoRR, 2024

Detect, Investigate, Judge and Determine: A Novel LLM-based Framework for Few-shot Fake News Detection.

Ye Liu, Jiajun Zhu, Kai Zhang, Haoyu Tang, Yanghai Zhang, Xukai Liu, Qi Liu, Enhong Chen

CoRR, 2024

GAP: A Grammar and Position-Aware Framework for Efficient Recognition of Multi-Line Mathematical Formulas.

Zhe Yang, Qi Liu, Kai Zhang, Shiwei Tong, Enhong Chen

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Data-Driven Uncertainty Revenue Modeling for Computation Resource Allocation in Recommendation Systems.

Feixue Liu, Yuqing Miao, Yun Ye, Peisong Wang, Xinglu Liu, Kai Zhang, Wai Kin Chan

Proceedings of the Winter Simulation Conference, 2024

Pre-training General User Representation with Multi-type APP Behaviors.

Yuren Zhang, Min Hou, Kai Zhang, Yuqing Yuan, Chao Song, Zhihao Ye, Enhong Chen, Yang Yu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Federated Self-Explaining GNNs with Anti-shortcut Augmentations.

Linan Yue, Qi Liu, Weibo Gao, Ye Liu, Kai Zhang, Yichao Du, Li Wang, Fangzhou Yao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ARM: An Alignment-and-Replacement Module for Chinese Spelling Check Based on LLMs.

Changchun Liu, Kai Zhang, Junzhe Jiang, Zirui Liu, Hanqing Tao, Min Gao, Enhong Chen

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting.

Xukai Liu, Ye Liu, Kai Zhang, Kehang Wang, Qi Liu, Enhong Chen

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

QoMRC: Query-oriented Machine Reading Comprehension Framework for Aspect Sentiment Triplet Extraction.

Kehang Wang, Ye Liu, Kai Zhang, Qi Liu, Yankun Ren, Xinxing Yang, Longfei Li, Jun Zhou

Proceedings of the Database Systems for Advanced Applications, 2024

Empowering Few-Shot Relation Extraction with The Integration of Traditional RE Methods and Large Language Models.

Ye Liu, Kai Zhang, Aoran Gan, Linan Yue, Feng Hu, Qi Liu, Enhong Chen

Proceedings of the Database Systems for Advanced Applications, 2024

Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling.

Junzhe Jiang, Shang Qu, Mingyue Cheng, Qi Liu, Zhiding Liu, Hao Zhang, Rujiao Zhang, Kai Zhang, Rui Li, Jiatong Li, Min Gao

Proceedings of the Database Systems for Advanced Applications, 2024

Post-hoc Facts augmented Legal Judgment Prediction.

Yanqing An, Linan Yue, Weibo Gao, Kai Zhang, Qi Liu

Proceedings of the Database Systems for Advanced Applications, 2024

FZR: Enhancing Knowledge Transfer via Shared Factors Composition in Zero-Shot Relational Learning.

Zhijun Dong, Likang Wu, Kai Zhang, Ye Liu, Yanghai Zhang, Zhi Li, Hongke Zhao, Enhong Chen

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

RePair: Automated Program Repair with Process-based Feedback.

Yuze Zhao, Zhenya Huang, Yixiao Ma, Rui Li, Kai Zhang, Hao Jiang, Qi Liu, Linbo Zhu, Yu Su

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Leveraging Entity Information for Cross-Modality Correlation Learning: The Entity-Guided Multimodal Summarization.

Yanghai Zhang, Ye Liu, Shiwei Wu, Kai Zhang, Xukai Liu, Qi Liu, Enhong Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2024

π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control.

Yin Gu, Kai Zhang, Qi Liu, Weibo Gao, Longfei Li, Jun Zhou

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

EATN: An Efficient Adaptive Transfer Network for Aspect-Level Sentiment Analysis.

Kai Zhang, Qi Liu, Hao Qian, Biao Xiang, Qing Cui, Jun Zhou, Enhong Chen

IEEE Trans. Knowl. Data Eng., 2023

Multi-scale Iterative Refinement towards Robust and Versatile Molecular Docking.

Jiaxian Yan, Zaixi Zhang, Kai Zhang, Qi Liu

CoRR, 2023

On the Opportunities of Green Computing: A Survey.

You Zhou, Xiujing Lin, Xiang Zhang, Maolin Wang, Gangwei Jiang, Huakang Lu, Yupeng Wu, Kai Zhang, Zhe Yang, Kehang Wang, Yongduo Sui, Fengwei Jia, Zuoli Tang, Yao Zhao, Hongxuan Zhang, Tiannuo Yang, Weibo Chen, Yunong Mao, Yi Li, De Bao, Yu Li, Hongrui Liao, Ting Liu, Jingwen Liu, Jinchi Guo, Xiangyu Zhao, Ying Wei, Hong Qian, Qi Liu, Xiang Wang, Wai Kin Chan, Chenliang Li, Yusen Li, Shiyu Yang, Jining Yan, Chao Mou, Shuai Han, Wuxia Jin, Guannan Zhang, Xiaodong Zeng

CoRR, 2023

MassNE: Exploring Higher-Order Interactions with Marginal Effect for Massive Battle Outcome Prediction.

Yin Gu, Kai Zhang, Qi Liu, Xin Lin, Zhenya Huang, Enhong Chen

Proceedings of the ACM Web Conference 2023, 2023

A Mathematical Word Problem Generator with Structure Planning and Knowledge Enhancement.

Longhu Qin, Jiayu Liu, Zhenya Huang, Kai Zhang, Qi Liu, Binbin Jin, Enhong Chen

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking.

Yang Yu, Qi Liu, Kai Zhang, Yuren Zhang, Chao Song, Min Hou, Yuqing Yuan, Zhihao Ye, Zaixi Zhang, Sanshi Lei Yu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering.

Meikai Bao, Qi Liu, Kai Zhang, Ye Liu, Linan Yue, Longfei Li, Jun Zhou

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

CDR-Adapter: Learning Adapters to Dig Out More Transferring Ability for Cross-Domain Recommendation Models.

Yanyu Chen, Yao Yao, Wai Kin Victor Chan, Li Xiao, Kai Zhang, Liang Zhang, Yun Ye

Proceedings of the 2023 SIGIR Workshop on eCommerce co-located with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), 2023

Class-Dynamic and Hierarchy-Constrained Network for Entity Linking.

Kehang Wang, Qi Liu, Kai Zhang, Ye Liu, Hanqing Tao, Zhenya Huang, Enhong Chen

Proceedings of the Database Systems for Advanced Applications, 2023

AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation.

Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Xing Xie, Sunghun Kim

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Knowledge-Aware Cross-Semantic Alignment for Domain-Level Zero-Shot Recommendation.

Junji Jiang, Hongke Zhao, Ming He, Likang Wu, Kai Zhang, Jianping Fan

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting.

Juyong Jiang, Binqing Wu, Ling Chen, Kai Zhang, Sunghun Kim

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Diagnosis Then Aggregation: An Adaptive Ensemble Strategy for Keyphrase Extraction.

Xin Jin, Qi Liu, Linan Yue, Ye Liu, Lili Zhao, Weibo Gao, Zheng Gong, Kai Zhang, Haoyang Bi

Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

RHGN: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs.

Xukai Liu, Kai Zhang, Ye Liu, Enhong Chen, Zhenya Huang, Linan Yue, Jiaxian Yan

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Enhancing Hierarchical Text Classification through Knowledge Graph Integration.

Ye Liu, Kai Zhang, Zhenya Huang, Kehang Wang, Yanghai Zhang, Qi Liu, Enhong Chen

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Ensemble Knowledge Tracing: Modeling interactions in learning process.

Jianwen Sun, Rui Zou, Ruxia Liang, Lu Gao, Sannyuya Liu, Qing Li, Kai Zhang, Lulu Jiang

Expert Syst. Appl., 2022

AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation.

Juyong Jiang, Jae Boum Kim, Yingtao Luo, Kai Zhang, Sunghun Kim

CoRR, 2022

Scope-aware Re-ranking with Gated Attention in Feed.

Hao Qian, Qintong Wu, Kai Zhang, Zhiqiang Zhang, Lihong Gu, Xiaodong Zeng, Jun Zhou, Jinjie Gu

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

AdaptKT: A Domain Adaptable Method for Knowledge Tracing.

Song Cheng, Qi Liu, Enhong Chen, Kai Zhang, Zhenya Huang, Yu Yin, Xiaoqing Huang, Yu Su

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification.

Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations.

Borun Chen, Hongyin Tang, Jiahao Bu, Kai Zhang, Jingang Wang, Qifan Wang, Hai-Tao Zheng, Wei Wu, Liqian Yu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis.

Kai Zhang, Kun Zhang, Mengdi Zhang, Hongke Zhao, Qi Liu, Wei Wu, Enhong Chen

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Sequential Recommendation with Bidirectional Chronological Augmentation of Transformer.

Juyong Jiang, Yingtao Luo, Jae Boum Kim, Kai Zhang, Sunghun Kim

CoRR, 2021

Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction.

Kai Zhang, Hao Qian, Qing Cui, Qi Liu, Longfei Li, Jun Zhou, Jianhui Ma, Enhong Chen

Proceedings of the WSDM '21, 2021

NeurJudge: A Circumstance-aware Neural Framework for Legal Judgment Prediction.

Linan Yue, Qi Liu, Binbin Jin, Han Wu, Kai Zhang, Yanqing An, Mingyue Cheng, Biao Yin, Dayong Wu

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Collaborative Embedding for Knowledge Tracing.

Jianwen Sun, Jianpeng Zhou, Kai Zhang, Qing Li, Zijian Lu

Proceedings of the Knowledge Science, Engineering and Management, 2021

LawyerPAN: A Proficiency Assessment Network for Trial Lawyers.

Yanqing An, Qi Liu, Han Wu, Kai Zhang, Linan Yue, Mingyue Cheng, Hongke Zhao, Enhong Chen

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation.

Kai Zhang, Hao Qian, Qi Liu, Zhiqiang Zhang, Jun Zhou, Jianhui Ma, Enhong Chen

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Legal Judgment Prediction with Multiple Perspectives on Civil Cases.

Lili Zhao, Linan Yue, Yanqing An, Ye Liu, Kai Zhang, Weidong He, Yanmin Chen, Senchao Yuan, Qi Liu

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction.

Yin Gu, Qi Liu, Kai Zhang, Zhenya Huang, Runze Wu, Jianrong Tao

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A Dynamic and Cooperative Tracking System for Crowdfunding.

Kai Zhang, Hongke Zhao, Qi Liu, Zhen Pan, Enhong Chen

CoRR, 2020

2019

Interactive Attention Transfer Network for Cross-Domain Sentiment Classification.

Kai Zhang, Hefu Zhang, Qi Liu, Hongke Zhao, Hengshu Zhu, Enhong Chen

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2016

Learning Distributed Representations of Data in Community Question Answering for Question Retrieval.

Kai Zhang, Wei Wu, Fang Wang, Ming Zhou, Zhoujun Li

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

2014

Question Retrieval with High Quality Answers in Community Question Answering.

Kai Zhang, Wei Wu, Haocheng Wu, Zhoujun Li, Ming Zhou

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

Negative Influence Minimizing by Blocking Nodes in Social Networks.

Senzhang Wang, Xiaojian Zhao, Yan Chen, Zhoujun Li, Kai Zhang, Jiali Xia

Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013