Kun Zhang

89 papers A* 24A 2Journal 51Unranked 12
YearRankTypeTitle / Venue / Authors
2026 A* conf
Mitigating Fine-tuning Bias: A Parameter-Efficient Debiasing Framework for Large Language Models.
WWW
Qiuyu Li, Kun Zhang, Le Wu, Hao Liu, Hefei Xu, Xin Li, Si Wei
2026 J jnl
Syntax-Oriented Shortcut: A Syntax Level Perturbing Algorithm for Preventing Text Data From Being Learned.
IEEE Trans. Neural Networks Learn. Syst.
Bo Li, Kun Zhang, Xi Chen, Richang Hong
2025 J jnl
A Survey of Multi-sensor Fusion Perception for Embodied AI: Background, Methods, Challenges and Prospects.
CoRR
Shulan Ruan, Rongwei Wang, Xuchen Shen, Huijie Liu, Baihui Xiao, Jun Shi, Kun Zhang, Zhenya Huang, Yu Liu, Enhong Chen, You He
2025 — conf
An Automated Extraction System for Material Chemistry Experimental Protocols.
BESC (3)
Fan Yang, Feiyang Xu, Huadong Liang, Xianghui Fan, Linjiang Chen, Kun Zhang, Xin Li, Le Wu, Shijin Wang
2025 J jnl
Breaking student-concept sparsity barrier for cognitive diagnosis.
Frontiers Comput. Sci.
Pengyang Shao, Kun Zhang, Chen Gao, Lei Chen, Miaomiao Cai, Le Wu, Yong Li, Meng Wang
2025 J jnl
CPWS: Confident Programmatic Weak Supervision for High-Quality Data Labeling.
ACM Trans. Inf. Syst.
Shulan Ruan, Huijie Liu, Zhao Chen, Bin Feng, Kun Zhang, Caleb Chen Cao, Enhong Chen, Lei Chen
2025 — conf
EDGE: Enhanced Debiased Gradient Extraction for Robust Fine-Tuning.
CCL
Jinglong Li, Kun Zhang, Chenyu Zou, Wei Shi, Xin Li, Si Wei
2025 J jnl
EMCRL: EM-Enhanced Negative Sampling Strategy for Contrastive Representation Learning.
IEEE Trans. Comput. Soc. Syst.
Kun Zhang, Guangyi Lv, Le Wu, Richang Hong, Meng Wang
2025 J jnl
EduStudio: towards a unified library for student cognitive modeling.
Frontiers Comput. Sci.
Le Wu, Xiangzhi Chen, Fei Liu, Junsong Xie, Chenao Xia, Zhengtao Tan, Mi Tian, Jinglong Li, Kun Zhang, Defu Lian, Richang Hong, Meng Wang
2025 J jnl
Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions.
CoRR
Kun Zhang, Le Wu, Kui Yu, Guangyi Lv, Dacao Zhang
2025 — conf
Exploring Heterogeneity and Uncertainty for Graph-based Cognitive Diagnosis Models in Intelligent Education.
KDD (1)
Pengyang Shao, Yonghui Yang, Chen Gao, Lei Chen, Kun Zhang, Chenyi Zhuang, Le Wu, Yong Li, Meng Wang
2025 J jnl
Introduction to the Special Issue on Causality Representation Learning in LLMs-Driven Recommender Systems.
ACM Trans. Inf. Syst.
Lina Yao, Julian J. McAuley, Yongfeng Zhang, Kun Zhang
2025 J jnl
MoLoRec: A Generalizable and Efficient Framework for LLM-Based Recommendation.
CoRR
Min Hou, Chenxi Bai, Le Wu, Hao Liu, Kun Zhang, Kai Zhang, Richang Hong, Meng Wang
2025 A conf
Selective Mixup for Debiasing Question Selection in Computerized Adaptive Testing.
CIKM
Mi Tian, Kun Zhang, Fei Liu, Jinglong Li, Yuxin Liao, Chenxi Bai, Zhengtao Tan, Le Wu, Richang Hong
2025 J jnl
Selective Mixup for Debiasing Question Selection in Computerized Adaptive Testing.
CoRR
Mi Tian, Kun Zhang, Fei Liu, Jinglong Li, Yuxin Liao, Chenxi Bai, Zhengtao Tan, Le Wu, Richang Hong
2025 J jnl
Unified Representation Learning for Discrete Attribute Enhanced Completely Cold-Start Recommendation.
IEEE Trans. Big Data
Haoyue Bai, Min Hou, Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Meng Wang
2024 J jnl
A relation-aware representation approach for the question matching system.
World Wide Web (WWW)
Yanmin Chen, Enhong Chen, Kun Zhang, Qi Liu, Ruijun Sun
2024 J jnl
Average User-Side Counterfactual Fairness for Collaborative Filtering.
ACM Trans. Inf. Syst.
Pengyang Shao, Le Wu, Kun Zhang, Defu Lian, Richang Hong, Yong Li, Meng Wang
2024 J jnl
Caption matters: a new perspective for knowledge-based visual question answering.
Knowl. Inf. Syst.
Bin Feng, Shulan Ruan, Likang Wu, Huijie Liu, Kai Zhang, Kun Zhang, Qi Liu, Enhong Chen
2024 J jnl
Color Enhanced Cross Correlation Net for Image Sentiment Analysis.
IEEE Trans. Multim.
Shulan Ruan, Kun Zhang, Le Wu, Tong Xu, Qi Liu, Enhong Chen
2024 J jnl
Description-Enhanced Label Embedding Contrastive Learning for Text Classification.
IEEE Trans. Neural Networks Learn. Syst.
Kun Zhang, Le Wu, Guangyi Lv, Enhong Chen, Shulan Ruan, Jing Liu, Zhiqiang Zhang, Jun Zhou, Meng Wang
2024 J jnl
Hyperbolic Graph Learning for Social Recommendation.
IEEE Trans. Knowl. Data Eng.
Yonghui Yang, Le Wu, Kun Zhang, Richang Hong, Hailin Zhou, Zhiqiang Zhang, Jun Zhou, Meng Wang
2024 J jnl
Improving Cognitive Diagnosis Models with Adaptive Relational Graph Neural Networks.
CoRR
Pengyang Shao, Chen Gao, Lei Chen, Yonghui Yang, Kun Zhang, Meng Wang
2024 J jnl
Label-aware debiased causal reasoning for Natural Language Inference.
AI Open
Kun Zhang, Dacao Zhang, Le Wu, Richang Hong, Ye Zhao, Meng Wang
2024 J jnl
Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering.
CoRR
Peijie Sun, Le Wu, Kun Zhang, Xiangzhi Chen, Meng Wang
2024 J jnl
Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering.
IEEE Trans. Knowl. Data Eng.
Peijie Sun, Le Wu, Kun Zhang, Xiangzhi Chen, Meng Wang
2024 A* conf
Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis.
KDD
Dacao Zhang, Kun Zhang, Le Wu, Mi Tian, Richang Hong, Meng Wang
2024 J jnl
Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis.
CoRR
Dacao Zhang, Kun Zhang, Le Wu, Mi Tian, Richang Hong, Meng Wang
2023 J jnl
A Survey on Accuracy-Oriented Neural Recommendation: From Collaborative Filtering to Information-Rich Recommendation.
IEEE Trans. Knowl. Data Eng.
Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, Meng Wang
2023 J jnl
Description-Enhanced Label Embedding Contrastive Learning for Text Classification.
CoRR
Kun Zhang, Le Wu, Guangyi Lv, Enhong Chen, Shulan Ruan, Jing Liu, Zhiqiang Zhang, Jun Zhou, Meng Wang
2023 A* conf
Disentangling Cognitive Diagnosis with Limited Exercise Labels.
NeurIPS
Xiangzhi Chen, Le Wu, Fei Liu, Lei Chen, Kun Zhang, Richang Hong, Meng Wang
2023 A* conf
Fair Representation Learning for Recommendation: A Mutual Information Perspective.
AAAI
Chen Zhao, Le Wu, Pengyang Shao, Kun Zhang, Richang Hong, Meng Wang
2023 J jnl
Generative Contrastive Graph Learning for Recommendation.
CoRR
Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang
2023 A* conf
Generative-Contrastive Graph Learning for Recommendation.
SIGIR
Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang
2023 A* conf
GoRec: A Generative Cold-start Recommendation Framework.
ACM Multimedia
Haoyue Bai, Min Hou, Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Meng Wang
2023 A* conf
Improving Recommendation Fairness via Data Augmentation.
WWW
Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang
2023 J jnl
Improving Recommendation Fairness via Data Augmentation.
CoRR
Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang
2023 J jnl
LadRa-Net: Locally Aware Dynamic Reread Attention Net for Sentence Semantic Matching.
IEEE Trans. Neural Networks Learn. Syst.
Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Meng Wang
2023 J jnl
Learning From Ideography and Labels: A Schema-Aware Radical-Guided Associative Model for Chinese Text Classification.
IEEE Trans. Knowl. Data Eng.
Hanqing Tao, Guanqi Zhu, Enhong Chen, Shiwei Tong, Kun Zhang, Tong Xu, Qi Liu, Yew-Soon Ong
2023 J jnl
PEDM: A Multi-task Learning Model for Persona-aware Emoji-embedded Dialogue Generation.
ACM Trans. Multim. Comput. Commun. Appl.
Sirui Zhao, Hongyu Jiang, Hanqing Tao, Rui Zha, Kun Zhang, Tong Xu, Enhong Chen
2023 A* conf
Topic-enhanced Graph Neural Networks for Extraction-based Explainable Recommendation.
SIGIR
Jie Shuai, Le Wu, Kun Zhang, Peijie Sun, Richang Hong, Meng Wang
2022 A* conf
A Review-aware Graph Contrastive Learning Framework for Recommendation.
SIGIR
Jie Shuai, Kun Zhang, Le Wu, Peijie Sun, Richang Hong, Meng Wang, Yong Li
2022 J jnl
A Review-aware Graph Contrastive Learning Framework for Recommendation.
CoRR
Jie Shuai, Kun Zhang, Le Wu, Peijie Sun, Richang Hong, Meng Wang, Yong Li
2022 J jnl
An Unsupervised Aspect-Aware Recommendation Model with Explanation Text Generation.
ACM Trans. Inf. Syst.
Peijie Sun, Le Wu, Kun Zhang, Yu Su, Meng Wang
2022 J jnl
Causal Narrative Comprehension: A New Perspective for Emotion Cause Extraction.
IEEE Trans. Affect. Comput.
Wei Cao, Kun Zhang, Shulan Ruan, Hanqing Tao, Sirui Zhao, Hao Wang, Qi Liu, Enhong Chen
2022 J jnl
FairCF: fairness-aware collaborative filtering.
Sci. China Inf. Sci.
Pengyang Shao, Le Wu, Lei Chen, Kun Zhang, Meng Wang
2022 A* conf
Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification.
SIGIR
Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen
2022 J jnl
Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification.
CoRR
Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen
2022 — conf
Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis.
ACL (Findings)
Kai Zhang, Kun Zhang, Mengdi Zhang, Hongke Zhao, Qi Liu, Wei Wu, Enhong Chen
2022 J jnl
Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis.
CoRR
Kai Zhang, Kun Zhang, Mengdi Zhang, Hongke Zhao, Qi Liu, Wei Wu, Enhong Chen
2022 — conf
Multi-Relational Cognitive Diagnosis for Intelligent Education.
CICAI (2)
Kaifang Wu, Yonghui Yang, Kun Zhang, Le Wu, Jing Liu, Xin Li
2022 — conf
Self-Supervised Cross Domain Social Recommendation.
ICCAI
Suchang Luo, Yonghui Yang, Kun Zhang, Peijie Sun, Le Wu, Richang Hong
2022 J jnl
Understanding the Users and Videos by Mining a Novel Danmu Dataset.
IEEE Trans. Big Data
Guangyi Lv, Kun Zhang, Le Wu, Enhong Chen, Tong Xu, Qi Liu, Weidong He
2022 J jnl
Video emotion analysis enhanced by recognizing emotion in video comments.
Int. J. Data Sci. Anal.
Wei Cao, Kun Zhang, Han Wu, Tong Xu, Enhong Chen, Guangyi Lv, Ming He
2021 J jnl
A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation.
CoRR
Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, Meng Wang
2021 J jnl
A two-stage 3D CNN based learning method for spontaneous micro-expression recognition.
Neurocomputing
Sirui Zhao, Hanqing Tao, Yangsong Zhang, Tong Xu, Kun Zhang, Zhongkai Hao, Enhong Chen
2021 A* conf
DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis.
ICCV
Shulan Ruan, Yong Zhang, Kun Zhang, Yanbo Fan, Fan Tang, Qi Liu, Enhong Chen
2021 J jnl
DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis.
CoRR
Shulan Ruan, Yong Zhang, Kun Zhang, Yanbo Fan, Fan Tang, Qi Liu, Enhong Chen
2021 J jnl
DGA-Net Dynamic Gaussian Attention Network for Sentence Semantic Matching.
CoRR
Kun Zhang, Guangyi Lv, Meng Wang, Enhong Chen
2021 — conf
DGA-Net: Dynamic Gaussian Attention Network for Sentence Semantic Matching.
CICAI (2)
Kun Zhang, Guangyi Lv, Meng Wang, Enhong Chen
2021 A* conf
Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization.
SIGIR
Yonghui Yang, Le Wu, Richang Hong, Kun Zhang, Meng Wang
2021 — conf
Exploiting Visual Context and Multi-grained Semantics for Social Text Emotion Recognition.
CICAI
Wei Cao, Kun Zhang, Hanqing Tao, Weidong He, Qi Liu, Enhong Chen, Jianhui Ma
2021 — conf
Graph-Based Exercise- and Knowledge-Aware Learning Network for Student Performance Prediction.
CICAI
Mengfan Liu, Pengyang Shao, Kun Zhang
2021 A* conf
Ideography Leads Us to the Field of Cognition: A Radical-Guided Associative Model for Chinese Text Classification.
AAAI
Hanqing Tao, Shiwei Tong, Kun Zhang, Tong Xu, Qi Liu, Enhong Chen, Min Hou
2021 J jnl
LadRa-Net: Locally-Aware Dynamic Re-read Attention Net for Sentence Semantic Matching.
CoRR
Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Meng Wang
2021 A* conf
Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching.
AAAI
Kun Zhang, Le Wu, Guangyi Lv, Meng Wang, Enhong Chen, Shulan Ruan
2021 J jnl
Multilevel Image-Enhanced Sentence Representation Net for Natural Language Inference.
IEEE Trans. Syst. Man Cybern. Syst.
Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Xing Xie, Fangzhao Wu
2021 A* conf
Privileged Graph Distillation for Cold Start Recommendation.
SIGIR
Shuai Wang, Kun Zhang, Le Wu, Haiping Ma, Richang Hong, Meng Wang
2021 J jnl
Privileged Graph Distillation for Cold Start Recommendation.
CoRR
Shuai Wang, Kun Zhang, Le Wu, Haiping Ma, Richang Hong, Meng Wang
2021 A* conf
Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation.
SIGIR
Lei Chen, Le Wu, Kun Zhang, Richang Hong, Meng Wang
2021 J jnl
Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation.
CoRR
Lei Chen, Le Wu, Kun Zhang, Richang Hong, Meng Wang
2020 J jnl
A Joint Neural Model for User Behavior Prediction on Social Networking Platforms.
ACM Trans. Intell. Syst. Technol.
Junwei Li, Le Wu, Richang Hong, Kun Zhang, Yong Ge, Yan Li
2020 A conf
Context-Aware Generation-Based Net For Multi-Label Visual Emotion Recognition.
ICME
Shulan Ruan, Kun Zhang, Yijun Wang, Hanqing Tao, Weidong He, Guangyi Lv, Enhong Chen
2020 J jnl
Deep Technology Tracing for High-tech Companies.
CoRR
Han Wu, Kun Zhang, Guangyi Lv, Qi Liu, Runlong Yu, Weihao Zhao, Enhong Chen, Jianhui Ma
2020 A* conf
Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation.
WWW
Peijie Sun, Le Wu, Kun Zhang, Yanjie Fu, Richang Hong, Meng Wang
2020 A* conf
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach.
SIGIR
Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, Meng Wang
2020 J jnl
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach.
CoRR
Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, Meng Wang
2020 J jnl
Pop Music Generation: From Melody to Multi-style Arrangement.
ACM Trans. Knowl. Discov. Data
Hongyuan Zhu, Qi Liu, Nicholas Jing Yuan, Kun Zhang, Guang Zhou, Enhong Chen
2020 J jnl
R
CoRR
Kun Zhang, Le Wu, Guangyi Lv, Meng Wang, Enhong Chen, Shulan Ruan
2020 A* conf
Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach.
AAAI
Lei Chen, Le Wu, Richang Hong, Kun Zhang, Meng Wang
2020 J jnl
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach.
CoRR
Lei Chen, Le Wu, Richang Hong, Kun Zhang, Meng Wang
2019 — conf
Context-Aware Dual-Attention Network for Natural Language Inference.
PAKDD (3)
Kun Zhang, Guangyi Lv, Enhong Chen, Le Wu, Qi Liu, C. L. Philip Chen
2019 A* conf
DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching.
AAAI
Kun Zhang, Guangyi Lv, Linyuan Wang, Le Wu, Enhong Chen, Fangzhao Wu, Xing Xie
2019 A* conf
Deep Technology Tracing for High-Tech Companies.
ICDM
Han Wu, Kun Zhang, Guangyi Lv, Qi Liu, Runlong Yu, Weihao Zhao, Enhong Chen, Jianhui Ma
2019 — conf
Neural News Recommendation with Long- and Short-term User Representations.
ACL (1)
Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu, Xing Xie
2019 — conf
Sentiment Classification by Leveraging the Shared Knowledge from a Sequence of Domains.
DASFAA (1)
Guangyi Lv, Shuai Wang, Bing Liu, Enhong Chen, Kun Zhang
2018 A* conf
Image-Enhanced Multi-level Sentence Representation Net for Natural Language Inference.
ICDM
Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Fangzhao Wu
2018 A* conf
XiaoIce Band: A Melody and Arrangement Generation Framework for Pop Music.
KDD
Hongyuan Zhu, Qi Liu, Nicholas Jing Yuan, Chuan Qin, Jiawei Li, Kun Zhang, Guang Zhou, Furu Wei, Yuanchun Xu, Enhong Chen
2017 A* conf
A Context-Enriched Neural Network Method for Recognizing Lexical Entailment.
AAAI
Kun Zhang, Enhong Chen, Qi Liu, Chuanren Liu, Guangyi Lv