A Context-Enriched Neural Network Method for Recognizing Lexical Entailment. - Kun Zhang 015; Enhong Chen; Qi Liu 003; Chuanren Liu; Guangyi Lv (AAAI, 2017)

Image-Enhanced Multi-level Sentence Representation Net for Natural Language Inference. - Kun Zhang 015; Guangyi Lv; Le Wu; Enhong Chen; Qi Liu 003; Han Wu 002; Fangzhao Wu (ICDM, 2018)

XiaoIce Band: A Melody and Arrangement Generation Framework for Pop Music. - Hongyuan Zhu; Qi Liu 003; Nicholas Jing Yuan; Chuan Qin 002; Jiawei Li; Kun Zhang 015; Guang Zhou; Furu Wei; Yuanchun Xu; Enhong Chen (KDD, 2018)

DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching. - Kun Zhang 015; Guangyi Lv; Linyuan Wang; Le Wu; Enhong Chen; Fangzhao Wu; Xing Xie 001 (AAAI, 2019)

Neural News Recommendation with Long- and Short-term User Representations. - Mingxiao An; Fangzhao Wu; Chuhan Wu; Kun Zhang 015; Zheng Liu 011; Xing Xie 001 (ACL (1), 2019)

Sentiment Classification by Leveraging the Shared Knowledge from a Sequence of Domains. - Guangyi Lv; Shuai Wang 020; Bing Liu 001; Enhong Chen; Kun Zhang 015 (DASFAA (1), 2019)

Deep Technology Tracing for High-Tech Companies. - Han Wu 002; Kun Zhang 015; Guangyi Lv; Qi Liu 003; Runlong Yu; Weihao Zhao; Enhong Chen; Jianhui Ma (ICDM, 2019)

Context-Aware Dual-Attention Network for Natural Language Inference. - Kun Zhang 015; Guangyi Lv; Enhong Chen; Le Wu; Qi Liu 003; C. L. Philip Chen (PAKDD (3), 2019)

Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach. - Lei Chen 051; Le Wu; Richang Hong; Kun Zhang 015; Meng Wang 001 (AAAI, 2020)

Context-Aware Generation-Based Net For Multi-Label Visual Emotion Recognition. - Shulan Ruan; Kun Zhang 015; Yijun Wang 002; Hanqing Tao; Weidong He; Guangyi Lv; Enhong Chen (ICME, 2020)

Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach. - Le Wu; Yonghui Yang; Kun Zhang 015; Richang Hong; Yanjie Fu; Meng Wang 001 (SIGIR, 2020)

Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation. - Peijie Sun; Le Wu; Kun Zhang 015; Yanjie Fu; Richang Hong; Meng Wang 001 (WWW, 2020)

R2-Net: Relation of Relation Learning Network for Sentence Semantic Matching. - Kun Zhang 015; Le Wu; Guangyi Lv; Meng Wang 001; Enhong Chen; Shulan Ruan (CoRR, 2020)

A Joint Neural Model for User Behavior Prediction on Social Networking Platforms. - Junwei Li; Le Wu; Richang Hong; Kun Zhang 015; Yong Ge; Yan Li 068 (ACM Trans. Intell. Syst. Technol., 2020)

Pop Music Generation: From Melody to Multi-style Arrangement. - Hongyuan Zhu; Qi Liu 003; Nicholas Jing Yuan; Kun Zhang 015; Guang Zhou; Enhong Chen (ACM Trans. Knowl. Discov. Data, 2020)

Ideography Leads Us to the Field of Cognition: A Radical-Guided Associative Model for Chinese Text Classification. - Hanqing Tao; Shiwei Tong; Kun Zhang 015; Tong Xu 001; Qi Liu 003; Enhong Chen; Min Hou (AAAI, 2021)

Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching. - Kun Zhang 015; Le Wu; Guangyi Lv; Meng Wang 001; Enhong Chen; Shulan Ruan (AAAI, 2021)

Exploiting Visual Context and Multi-grained Semantics for Social Text Emotion Recognition. - Wei Cao; Kun Zhang 015; Hanqing Tao; Weidong He; Qi Liu 003; Enhong Chen; Jianhui Ma (CICAI, 2021)

Graph-Based Exercise- and Knowledge-Aware Learning Network for Student Performance Prediction. - Mengfan Liu; Pengyang Shao; Kun Zhang 015 (CICAI, 2021)

DGA-Net: Dynamic Gaussian Attention Network for Sentence Semantic Matching. - Kun Zhang 015; Guangyi Lv; Meng Wang 001; Enhong Chen (CICAI (2), 2021)

DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis. - Shulan Ruan; Yong Zhang 034; Kun Zhang 015; Yanbo Fan; Fan Tang; Qi Liu 003; Enhong Chen (ICCV, 2021)

Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation. - Lei Chen 051; Le Wu; Kun Zhang 015; Richang Hong; Meng Wang 001 (SIGIR, 2021)

Privileged Graph Distillation for Cold Start Recommendation. - Shuai Wang 020; Kun Zhang 015; Le Wu; Haiping Ma; Richang Hong; Meng Wang 001 (SIGIR, 2021)

Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization. - Yonghui Yang; Le Wu; Richang Hong; Kun Zhang 015; Meng Wang 001 (SIGIR, 2021)

A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation. - Le Wu; Xiangnan He 001; Xiang Wang 010; Kun Zhang 015; Meng Wang 001 (CoRR, 2021)

LadRa-Net: Locally-Aware Dynamic Re-read Attention Net for Sentence Semantic Matching. - Kun Zhang 015; Guangyi Lv; Le Wu; Enhong Chen; Qi Liu 003; Meng Wang 001 (CoRR, 2021)

A two-stage 3D CNN based learning method for spontaneous micro-expression recognition. - Sirui Zhao; Hanqing Tao; Yangsong Zhang; Tong Xu 001; Kun Zhang 015; Zhongkai Hao; Enhong Chen (Neurocomputing, 2021)

Multilevel Image-Enhanced Sentence Representation Net for Natural Language Inference. - Kun Zhang 015; Guangyi Lv; Le Wu; Enhong Chen; Qi Liu 003; Han Wu 002; Xing Xie 001; Fangzhao Wu (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis. - Kai Zhang 038; Kun Zhang 015; Mengdi Zhang 002; Hongke Zhao; Qi Liu 003; Wei Wu 014; Enhong Chen (ACL (Findings), 2022)

Multi-Relational Cognitive Diagnosis for Intelligent Education. - Kaifang Wu; Yonghui Yang; Kun Zhang 015; Le Wu; Jing Liu 001; Xin Li 034 (CICAI (2), 2022)

Self-Supervised Cross Domain Social Recommendation. - Suchang Luo; Yonghui Yang; Kun Zhang 015; Peijie Sun; Le Wu; Richang Hong (ICCAI, 2022)

A Review-aware Graph Contrastive Learning Framework for Recommendation. - Jie Shuai; Kun Zhang 015; Le Wu; Peijie Sun; Richang Hong; Meng Wang 001; Yong Li 008 (SIGIR, 2022)

Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification. - Kai Zhang 038; Qi Liu 003; Zhenya Huang; Mingyue Cheng; Kun Zhang 015; Mengdi Zhang 002; Wei Wu 014; Enhong Chen (SIGIR, 2022)

FairCF: fairness-aware collaborative filtering. - Pengyang Shao; Le Wu; Lei Chen 051; Kun Zhang 015; Meng Wang 001 (Sci. China Inf. Sci., 2022)

Video emotion analysis enhanced by recognizing emotion in video comments. - Wei Cao; Kun Zhang 015; Han Wu 002; Tong Xu 001; Enhong Chen; Guangyi Lv; Ming He (Int. J. Data Sci. Anal., 2022)

Causal Narrative Comprehension: A New Perspective for Emotion Cause Extraction. - Wei Cao; Kun Zhang 015; Shulan Ruan; Hanqing Tao; Sirui Zhao; Hao Wang 076; Qi Liu 003; Enhong Chen (IEEE Trans. Affect. Comput., 2022)

Understanding the Users and Videos by Mining a Novel Danmu Dataset. - Guangyi Lv; Kun Zhang 015; Le Wu; Enhong Chen; Tong Xu 001; Qi Liu 003; Weidong He (IEEE Trans. Big Data, 2022)

An Unsupervised Aspect-Aware Recommendation Model with Explanation Text Generation. - Peijie Sun; Le Wu; Kun Zhang 015; Yu Su 002; Meng Wang 001 (ACM Trans. Inf. Syst., 2022)

Fair Representation Learning for Recommendation: A Mutual Information Perspective. - Chen Zhao; Le Wu; Pengyang Shao; Kun Zhang 015; Richang Hong; Meng Wang 001 (AAAI, 2023)

GoRec: A Generative Cold-start Recommendation Framework. - Haoyue Bai 002; Min Hou; Le Wu; Yonghui Yang; Kun Zhang 015; Richang Hong; Meng Wang 001 (ACM Multimedia, 2023)

Disentangling Cognitive Diagnosis with Limited Exercise Labels. - Xiangzhi Chen 001; Le Wu; Fei Liu 047; Lei Chen 051; Kun Zhang 015; Richang Hong; Meng Wang 001 (NeurIPS, 2023)

Topic-enhanced Graph Neural Networks for Extraction-based Explainable Recommendation. - Jie Shuai; Le Wu; Kun Zhang 015; Peijie Sun; Richang Hong; Meng Wang 001 (SIGIR, 2023)

Generative-Contrastive Graph Learning for Recommendation. - Yonghui Yang; Zhengwei Wu; Le Wu; Kun Zhang 015; Richang Hong; Zhiqiang Zhang 012; Jun Zhou 011; Meng Wang 001 (SIGIR, 2023)

Improving Recommendation Fairness via Data Augmentation. - Lei Chen 051; Le Wu; Kun Zhang 015; Richang Hong; Defu Lian; Zhiqiang Zhang 012; Jun Zhou 011; Meng Wang 001 (WWW, 2023)

PEDM: A Multi-task Learning Model for Persona-aware Emoji-embedded Dialogue Generation. - Sirui Zhao; Hongyu Jiang; Hanqing Tao; Rui Zha; Kun Zhang 015; Tong Xu 001; Enhong Chen (ACM Trans. Multim. Comput. Commun. Appl., 2023)

LadRa-Net: Locally Aware Dynamic Reread Attention Net for Sentence Semantic Matching. - Kun Zhang 015; Guangyi Lv; Le Wu; Enhong Chen; Qi Liu 003; Meng Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

A Survey on Accuracy-Oriented Neural Recommendation: From Collaborative Filtering to Information-Rich Recommendation. - Le Wu; Xiangnan He 001; Xiang Wang 010; Kun Zhang 015; Meng Wang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Learning From Ideography and Labels: A Schema-Aware Radical-Guided Associative Model for Chinese Text Classification. - Hanqing Tao; Guanqi Zhu; Enhong Chen; Shiwei Tong; Kun Zhang 015; Tong Xu 001; Qi Liu 003; Yew-Soon Ong (IEEE Trans. Knowl. Data Eng., 2023)

Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis. - Dacao Zhang; Kun Zhang 015; Le Wu; Mi Tian; Richang Hong; Meng Wang 001 (KDD, 2024)

Label-aware debiased causal reasoning for Natural Language Inference. - Kun Zhang 015; Dacao Zhang; Le Wu; Richang Hong; Ye Zhao 001; Meng Wang 001 (AI Open, 2024)

Improving Cognitive Diagnosis Models with Adaptive Relational Graph Neural Networks. - Pengyang Shao; Chen Gao 001; Lei Chen 051; Yonghui Yang; Kun Zhang 015; Meng Wang 001 (CoRR, 2024)

Color Enhanced Cross Correlation Net for Image Sentiment Analysis. - Shulan Ruan; Kun Zhang 015; Le Wu; Tong Xu 001; Qi Liu 003; Enhong Chen (IEEE Trans. Multim., 2024)

A relation-aware representation approach for the question matching system. - Yanmin Chen; Enhong Chen; Kun Zhang 015; Qi Liu 003; Ruijun Sun (World Wide Web (WWW), 2024)

Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering. - Peijie Sun; Le Wu; Kun Zhang 015; Xiangzhi Chen 001; Meng Wang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Average User-Side Counterfactual Fairness for Collaborative Filtering. - Pengyang Shao; Le Wu; Kun Zhang 015; Defu Lian; Richang Hong; Yong Li 008; Meng Wang 001 (ACM Trans. Inf. Syst., 2024)

Description-Enhanced Label Embedding Contrastive Learning for Text Classification. - Kun Zhang 015; Le Wu; Guangyi Lv; Enhong Chen; Shulan Ruan; Jing Liu 001; Zhiqiang Zhang 012; Jun Zhou 011; Meng Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Caption matters: a new perspective for knowledge-based visual question answering. - Bin Feng; Shulan Ruan; Likang Wu; Huijie Liu; Kai Zhang 038; Kun Zhang 015; Qi Liu 003; Enhong Chen (Knowl. Inf. Syst., 2024)

Hyperbolic Graph Learning for Social Recommendation. - Yonghui Yang; Le Wu; Kun Zhang 015; Richang Hong; Hailin Zhou; Zhiqiang Zhang 012; Jun Zhou 011; Meng Wang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Exploring Heterogeneity and Uncertainty for Graph-based Cognitive Diagnosis Models in Intelligent Education. - Pengyang Shao; Yonghui Yang; Chen Gao 001; Lei Chen 051; Kun Zhang 015; Chenyi Zhuang; Le Wu; Yong Li 008; Meng Wang 001 (KDD (1), 2025)

MoLoRec: A Generalizable and Efficient Framework for LLM-Based Recommendation. - Min Hou; Chenxi Bai; Le Wu; Hao Liu 003; Kun Zhang 015; Kai Zhang 038; Richang Hong; Meng Wang 001 (CoRR, 2025)

Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions. - Kun Zhang 015; Le Wu; Kui Yu; Guangyi Lv; Dacao Zhang (CoRR, 2025)

A Survey of Multi-sensor Fusion Perception for Embodied AI: Background, Methods, Challenges and Prospects. - Shulan Ruan; Rongwei Wang; Xuchen Shen; Huijie Liu; Baihui Xiao; Jun Shi; Kun Zhang 015; Zhenya Huang; Yu Liu 005; Enhong Chen; You He (CoRR, 2025)

Unified Representation Learning for Discrete Attribute Enhanced Completely Cold-Start Recommendation. - Haoyue Bai 002; Min Hou; Le Wu; Yonghui Yang; Kun Zhang 015; Richang Hong; Meng Wang 001 (IEEE Trans. Big Data, 2025)

EMCRL: EM-Enhanced Negative Sampling Strategy for Contrastive Representation Learning. - Kun Zhang 015; Guangyi Lv; Le Wu; Richang Hong; Meng Wang 001 (IEEE Trans. Comput. Soc. Syst., 2025)

CPWS: Confident Programmatic Weak Supervision for High-Quality Data Labeling. - Shulan Ruan; Huijie Liu; Zhao Chen 003; Bin Feng; Kun Zhang 015; Caleb Chen Cao; Enhong Chen; Lei Chen 002 (ACM Trans. Inf. Syst., 2025)

EduStudio: towards a unified library for student cognitive modeling. - Le Wu; Xiangzhi Chen 001; Fei Liu 047; Junsong Xie; Chenao Xia; Zhengtao Tan; Mi Tian; Jinglong Li; Kun Zhang 015; Defu Lian; Richang Hong; Meng Wang 001 (Frontiers Comput. Sci., 2025)

Breaking student-concept sparsity barrier for cognitive diagnosis. - Pengyang Shao; Kun Zhang 015; Chen Gao 001; Lei Chen 051; Miaomiao Cai; Le Wu; Yong Li 008; Meng Wang 001 (Frontiers Comput. Sci., 2025)