Kun Zhang (张琨)

Kun Zhang (张琨)

Hefei University of Technology (HFUT)

💻 Selected Research Papers

* corresponding author

My full paper list can also be found at Google Scholar.

Semantic Representation Learning

  • IEEE TCSS2024 EMCRL: EM-enhanced Negative Sampling Strategy for Contrastive Representation Learning. [Paper]
    Kun Zhang*, Guangyi Lv, Le Wu, Richang Hong, Meng Wang

  • FCS 2024 Optimizing Low-Rank Adaptation with Decomposed Matrices and Adaptive Rank Allocation. [Paper]
    Dacao Zhang, Fan Yang, Kun Zhang*, Richang Hong

  • KIS2024 Caption Matters: A New Perspective for Knowledge-based Visual Question Answering. [Paper]
    Bin Feng, Shulan Ruan, Likang Wu, Huijie Liu, Kai Zhang, Kun Zhang, Qi Liu, Enhong Chen

  • WWWJ2024 A relation-aware representation approach for the question matching system. [Paper]
    Yanmin Chen, Enhong Chen, Kun Zhang, Qi Liu, Ruijun Sun.

  • IEEE TNNLS2023 Description-Enhanced Label Embedding Contrastive Learning for Text Classification. [Paper]
    Kun Zhang, Le Wu, Guangyi Lv, Enhong Chen, Shulan Ruan, Jing Liu, Zhiqiang Zhang, Jun Zhou, Meng Wang.

  • ACM TOMM2022 PEDM: A Multi-task Learning Model for Persona-aware Emoji-embedded Dialogue Generation. [Paper]
    Sirui Zhao, Hongyu Jiang, Hanqing Tao, Rui Zha, Kun Zhang, Tong Xu, Enhong Chen.

  • IEEE TKDE2022 Learning from Ideography and Labels: A Schema-aware Radical-guided Associative Model for Chinese Text Classification. [Paper]
    Hanqing Tao, Guanqi Zhu, Enhong Chen, Shiwei Tong, Kun Zhang, Tong Xu, Qi Liu, Yew-Soon Ong.

  • IEEE TNNLS2022 LadRa-Net: Locally-Aware Dynamic Re-read Attention Net for Sentence Semantic Matching. [Paper]
    Kun Zhang, Guangyi Lv,Le Wu, Enhong Chen, Qi Liu, Meng Wang.

  • ACL2022 Findings Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis. [Paper]
    Kai Zhang, Kun Zhang, Mengdi Zhang, Hongke Zhao, Qi Liu,Wei Wu, Enhong Chen.

  • SIGIR2022 Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification. [Paper]
    Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen.

  • IEEE TMM2022(🏆 ESI Highly Cited Paper) Color Enhanced Cross Correlation Net for Image Sentiment Analysis. [Paper]
    Shulan Ruan, Kun Zhang, Le Wu, Tong Xu, Qi Liu, Enhong Chen.

  • IEEE TSMC:S2021 Multi-Level Image-Enhanced Sentence Representation Net for Natural Language Inference. [Paper]
    Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Xing Xie, Fangzhao Wu.

  • AAAI2021 Making the relation matters: Relation of relation learning network for sentence semantic matching. [Paper]
    Kun Zhang, Le Wu, Guangyi Lv, Meng Wang, Enhong Chen, Shulan Ruan.

  • ICCV2021 DAE-GAN- Dynamic Aspect-aware GAN for Text-to-Image Synthesis. [Paper]
    Shulan Ruan, Yong Zhang, Kun Zhang, Yanbo Fan, Fan Tang, Qi Liu, Enhong Chen.

  • 计算机学报2021 图像信息对句子语义理解与表示的有效性验证与分析. [Paper]
    张琨，吕广奕，吴乐，刘淇，陈恩红.

  • ICME2020 Context-Awar Generation-Based Net For Multi-Label Visual Emotion Recognition. [Paper]
    Shulan Ruan, Kun Zhang, Yijun Wang, Hanqing Tao, Weidong He, Guangyi Lv,Enhong Chen.

  • AAAI2019 DRr-Net: Dynamic Re-read Network for Sentence Semantic Matching. [Paper]
    Kun Zhang, Guangyi Lv, Linyuan Wang, Le Wu, Enhong Chen, Fangzhao Wu, and Xing Xie.

  • KDD2018 (Best Student Paper Award of Research Track of KDD2018) XiaoIce Band A Melody and Arrangement Generation Framework for pop music. [Paper]
    Hongyuan Zhu, Qi Liu, Nicholas Jing Yuan, Chuan Qin, Jiawei Li, Kun Zhang, Guang Zhou, Furu Wei, Yuanchun Xu, Enhong Chen.

  • ICDM2018 Image-Enhanced Multi-Level Sentence Representation Net for Natural Language Inference. [Paper]
    Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, and Han Wu.

  • AAAI2017 A Context-Enriched Neural Network method for Recognizing Lexical Entailment. [Paper]
    Kun Zhang, Enhong Chen, Qi Liu, Chuanren Liu, and Guangyi Lv.

User Modeling

  • IEEE TKDE2023 Hyperbolic Graph Learning for Social Recommendation. [Paper]
    Yonghui Yang, Le Wu, Kun Zhang, Richang Hong, Hailin Zhou, Zhiqiang Zhang, Jun Zhou, Meng Wang.

  • IEEE TBD2023 Unified Representation Learning for Discrete Attribute Enhanced Completely Cold-Start Recommendation. [Paper]
    Haoyue Bai, Min Hou, Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Meng Wang.

  • NeurIPS2023 Disentangling Cognitive Diagnosis with Limited Exercise Labels. [Paper] [EduStudio Project]
    Xiangzhi Chen, Le Wu, Fei Liu, Lei Chen, Kun Zhang, Richang Hong, Meng Wang.

  • SIGIR2023 Topic-enhanced Graph Neural Networks for Extraction-based Explainable Recommendation. [Paper]
    Jie Shuai, Le Wu, Kun Zhang, Peijie Sun, Richang Hong, Meng Wang.

  • SIGIR2023 Generative-Contrastive Graph Learning for Recommendation. [Paper]
    Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang.

  • AAAI2023 Fair Representation Learning for Recommendation: A Mutual Information-Based Perspective. [Paper]
    Chen Zhao, Le Wu, Pengyang Shao, Kun Zhang, Richang Hong, Meng Wang.

  • MM2023 GoRec: A Generative Cold-start Recommendation Framework. [Paper]
    Haoyue Bai, Min Hou, Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Meng Wang.

  • IEEE TKDE2022 (🏆 ESI Highly Cited Paper) A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation. [Paper]
    Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, Meng Wang.

  • SIGIR2022 A Review-aware Graph Contrastive Learning Framework for Recommendation. [Paper]
    Jie Shuai, Kun Zhang, Le Wu, Peijie Sun, Richang Hong, Meng Wang, Yong Li.

  • IEEE TBD2022 Understanding the Users and Videos by Mining a Novel Danmu Dataset. [Paper]
    Guangyi Lv, Kun Zhang, Le Wu, Enhong Chen, Tong Xu, Qi Liu, Weidong He.

  • SIGIR2021 Privileged Graph Distillation for Cold Start Recommendation. [Paper]
    Shuai Wang, Kun Zhang*, Le Wu, Haiping Ma, Richang Hong, Meng Wang.

  • AAAI2020 Revisiting graph based collaborative filtering A linear residual graph convolutional network approach. [Paper]
    Lei Chen, Le Wu, Richang Hong, Kun Zhang, Meng Wang.

  • SIGIR2020 Joint item recommendation and attribute inference An adaptive graph convolutional network approach. [Paper]
    Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, Meng Wang.

  • WWW2020 Dual learning for explainable recommendation Towards unifying user preference prediction and review generation. [Paper]
    Peijie Sun, Le Wu, Kun Zhang, Yanjie Fu, Richang Hong, Meng Wang.

Causal Reasoning

  • KDD 2024 Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis. [Paper], [code], [slides]
    Dacao Zhang, Kun Zhang*, Le Wu, Mi Tian, Richang Hong, Meng Wang.

  • ACM TOIS2024 Average User-side Counterfactual Fairness for Collaborative Filtering. [Paper]
    Pengyang Shao, Le Wu*, Kun Zhang, Defu Lian, Richang Hong, Yong Li, Meng Wang.

  • AI Open2024 Label-aware Debiased Causal Reasoning for Natural Language Inference. [Paper]
    Kun Zhang*, Dacao Zhang, Le Wu, Richang Hong, Ye Zhao, Meng Wang.

  • WWW2023 Improving Recommendation Fairness via Data Augmentation. [Paper]
    Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou and Meng Wang.

  • 计算机研究与发展2023 针对情境感知的自然语言推理的因果去偏方法. [Paper]
    张大操, 张琨*, 吴乐, 汪萌

  • IEEE TAFFC2022 Causal Narrative Comprehension: A New Perspective for Emotion Cause Extraction. [Paper]
    Wei Cao; Kun Zhang; Shulan Ruan; Hanqing Tao; Sirui Zhao; Hao Wang; Qi Liu; Enhong Chen.