Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors. - Zhi Li 057; Hongke Zhao; Qi Liu 003; Zhenya Huang; Tao Mei 001; Enhong Chen (KDD, 2018)

Illuminating Recommendation by Understanding the Explicit Item Relations. - Qi Liu 003; Hongke Zhao; Le Wu; Zhi Li 057; En-Hong Chen (J. Comput. Sci. Technol., 2018)

Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach. - Min Hou; Le Wu; Enhong Chen; Zhi Li 057; Vincent W. Zheng; Qi Liu 003 (IJCAI, 2019)

Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model. - Likang Wu; Zhi Li 057; Hongke Zhao; Zhen Pan; Qi Liu 003; Enhong Chen (AAAI, 2020)

Learning the Compositional Visual Coherence for Complementary Recommendations. - Zhi Li 057; Bo Wu 018; Qi Liu 003; Likang Wu; Hongke Zhao; Tao Mei 001 (IJCAI, 2020)

MMEA: Entity Alignment for Multi-modal Knowledge Graph. - Liyi Chen 001; Zhi Li 057; Yijun Wang 002; Tong Xu 001; Zhefeng Wang 001; Enhong Chen (KSEM (1), 2020)

Multimodal Dialogue Systems via Capturing Context-aware Dependencies of Semantic Elements. - Weidong He; Zhi Li 057; Dongcai Lu; Enhong Chen; Tong Xu 001; Baoxing Huai; Jing Yuan 007 (ACM Multimedia, 2020)

Exploiting Structural and Temporal Influence for Dynamic Social-Aware Recommendation. - Yang Liu 278; Zhi Li 057; Wei Huang 002; Tong Xu 001; En-Hong Chen (J. Comput. Sci. Technol., 2020)

Cross-Oilfield Reservoir Classification via Multi-Scale Sensor Knowledge Transfer. - Zhi Li 057; Zhefeng Wang 001; Zhicheng Wei; Xiangguang Zhou; Yijun Wang 002; Baoxing Huai; Qi Liu 003; Nicholas Jing Yuan; Renbin Gong; Enhong Chen (AAAI, 2021)

Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion. - Min Hou; Chang Xu 008; Yang Liu 278; Weiqing Liu; Jiang Bian 002; Le Wu; Zhi Li 057; Enhong Chen; Tie-Yan Liu (CIKM, 2021)

Learning the Implicit Semantic Representation on Graph-Structured Data. - Likang Wu; Zhi Li 057; Hongke Zhao; Qi Liu 003; Jun Wang 120; Mengdi Zhang 002; Enhong Chen (DASFAA (1), 2021)

Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement. - Mingyue Cheng; Fajie Yuan; Qi Liu 003; Shenyang Ge; Zhi Li 057; Runlong Yu; Defu Lian; Senchao Yuan; Enhong Chen (SIGIR, 2021)

Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education. - Yan Zhuang; Qi Liu 003; Zhenya Huang; Zhi Li 057; Shuanghong Shen; Haiping Ma (AAAI, 2022)

Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF. - Junzhe Jiang 001; Mingyue Cheng; Qi Liu 003; Zhi Li 057; Enhong Chen (CICAI (3), 2022)

Multi-Sentence Matching via Exploiting List-level Semantics Expansion. - Ruijun Sun; Zhi Li 057; Qi Liu 003; Zhefeng Wang 001; Xinyu Duan; Baoxing Huai; Nicholas Jing Yuan (ICKG, 2022)

One Person, One Model - Learning Compound Router for Sequential Recommendation. - Zhiding Liu; Mingyue Cheng; Zhi Li 057; Qi Liu 003; Enhong Chen (ICDM, 2022)

Multi-modal Siamese Network for Entity Alignment. - Liyi Chen 001; Zhi Li 057; Tong Xu 001; Han Wu 002; Zhefeng Wang 001; Nicholas Jing Yuan; Enhong Chen (KDD, 2022)

Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction. - Likang Wu; Hao Wang 076; Enhong Chen; Zhi Li 057; Hongke Zhao; Jianhui Ma (SIGIR, 2022)

A Robust Computerized Adaptive Testing Approach in Educational Question Retrieval. - Yan Zhuang; Qi Liu 003; Zhenya Huang; Zhi Li 057; Binbin Jin; Haoyang Bi; Enhong Chen; Shijin Wang 001 (SIGIR, 2022)

Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction. - Min Hou; Chang Xu 008; Zhi Li 057; Yang Liu 278; Weiqing Liu; Enhong Chen; Jiang Bian 002 (WWW, 2022)

Prospects for multi-agent collaboration and gaming: challenge, technology, and application. - Yu Liu 005; Zhi Li 057; Zhizhuo Jiang; You He (Frontiers Inf. Technol. Electron. Eng., 2022)

Estimating fund-raising performance for start-up projects from a market graph perspective. - Likang Wu; Zhi Li 057; Hongke Zhao; Qi Liu 003; Enhong Chen (Pattern Recognit., 2022)

GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation. - Yongqiang Han; Likang Wu; Hao Wang 076; Guifeng Wang; Mengdi Zhang 002; Zhi Li 057; Defu Lian; Enhong Chen (DASFAA (2), 2023)

ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification. - Wenqiang He; Mingyue Cheng; Qi Liu 003; Zhi Li 057 (DASFAA (4), 2023)

Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation. - Likang Wu; Zhi Li 057; Hongke Zhao; Zhefeng Wang 001; Qi Liu 003; Baoxing Huai; Nicholas Jing Yuan; Enhong Chen (KDD, 2023)

Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective. - Zhiding Liu; Mingyue Cheng; Zhi Li 057; Zhenya Huang; Qi Liu 003; Yanhu Xie; Enhong Chen (NeurIPS, 2023)

FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification. - Mingyue Cheng; Qi Liu 003; Zhiding Liu; Zhi Li 057; Yucong Luo; Enhong Chen (WWW, 2023)

Learning the Explainable Semantic Relations via Unified Graph Topic-Disentangled Neural Networks. - Likang Wu; Hongke Zhao; Zhi Li 057; Zhenya Huang; Qi Liu 003; Enhong Chen (ACM Trans. Knowl. Discov. Data, 2023)

Entity Summarization via Exploiting Description Complementarity and Salience. - Liyi Chen 001; Zhi Li 057; Weidong He; Gong Cheng 001; Tong Xu 001; Nicholas Jing Yuan; Enhong Chen (IEEE Trans. Neural Networks Learn. Syst., 2023)

Dual-Policy-Guided Offline Reinforcement Learning with Optimal Stopping. - Weibo Jiang; Shaohui Li; Zhi Li 057; Yuxin Ke; Zhizhuo Jiang; Yaowen Li; Yu Liu 005 (AAMAS, 2024)

FZR: Enhancing Knowledge Transfer via Shared Factors Composition in Zero-Shot Relational Learning. - Zhijun Dong; Likang Wu; Kai Zhang 038; Ye Liu 011; Yanghai Zhang; Zhi Li 057; Hongke Zhao; Enhong Chen (CIKM, 2024)

Multi-Agent Collaborative Perception via Motion-Aware Robust Communication Network. - Shixin Hong; Yu Liu 005; Zhi Li 057; Shaohui Li; You He (CVPR, 2024)

Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness. - Mingyue Cheng; Hao Zhang 088; Qi Liu 003; Fajie Yuan; Zhi Li 057; Zhenya Huang; Enhong Chen; Jun Zhou 011; Longfei Li (DASFAA (3), 2024)

I-AM-G: Interest Augmented Multimodal Generator for Item Personalization. - Xianquan Wang; Likang Wu; Shukang Yin; Zhi Li 057; Yanjiang Chen; Hufeng Hufeng; Yu Su 002; Qi Liu 003 (EMNLP, 2024)

ReDiffuser: Reliable Decision-Making Using a Diffuser with Confidence Estimation. - Nantian He; Shaohui Li; Zhi Li 057; Yu Liu 005; You He (ICML, 2024)

Rethinking Offline Reinforcement Learning for Sequential Recommendation from A Pair-Wise Q-Learning Perspective. - Runqi Yang; Liu Yu; Zhi Li 057; Shaohui Li; Likang Wu (IJCNN, 2024)

Generative Pretrained Hierarchical Transformer for Time Series Forecasting. - Zhiding Liu; Jiqian Yang; Mingyue Cheng; Yucong Luo; Zhi Li 057 (KDD, 2024)

Cross-reconstructed Augmentation for Dual-target Cross-domain Recommendation. - Qingyang Mao; Qi Liu 003; Zhi Li 057; Likang Wu; Bing Lv; Zheng Zhang 048 (SIGIR, 2024)

Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform. - Mingyue Cheng; Hao Zhang 088; Jiqian Yang; Qi Liu 003; Li Li; Xin Huang; Liwei Song; Zhi Li 057; Zhenya Huang; Enhong Chen (WWW (Companion Volume), 2024)

Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. - Yongqiang Han; Hao Wang 076; Kefan Wang; Likang Wu; Zhi Li 057; Wei Guo 006; Yong Liu 020; Defu Lian; Enhong Chen (WWW, 2024)

Multi-dimensional ability diagnosis for machine learning algorithms. - Qi Liu 003; Zheng Gong 001; Zhenya Huang; Chuanren Liu; Hengshu Zhu; Zhi Li 057; Enhong Chen; Hui Xiong 001 (Sci. China Inf. Sci., 2024)

ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis. - Mingyue Cheng; Jiqian Yang; Tingyue Pan; Qi Liu 003; Zhi Li 057 (CoRR, 2024)

END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. - Yongqiang Han; Hao Wang 076; Kefan Wang; Likang Wu; Zhi Li 057; Wei Guo 006; Yong Liu 020; Defu Lian; Enhong Chen (CoRR, 2024)

Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation. - Mingjia Yin; Hao Wang 076; Wei Guo 006; Yong Liu 020; Zhi Li 057; Sirui Zhao; Defu Lian; Enhong Chen (CoRR, 2024)

KnowPC: Knowledge-Driven Programmatic Reinforcement Learning for Zero-shot Coordination. - Yin Gu; Qi Liu 003; Zhi Li 057; Kai Zhang 038 (CoRR, 2024)

DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting. - Zhiding Liu; Jiqian Yang; Qingyang Mao; Yuze Zhao; Mingyue Cheng; Zhi Li 057; Qi Liu 003; Enhong Chen (CoRR, 2024)

PoTable: Programming Standardly on Table-based Reasoning Like a Human Analyst. - Qingyang Mao; Qi Liu 003; Zhi Li 057; Mingyue Cheng; Zheng Zhang 048; Rui Li 093 (CoRR, 2024)

GaLore+: Boosting Low-Rank Adaptation for LLMs with Cross-Head Projection. - Xutao Liao; Shaohui Li; Yuhui Xu; Zhi Li 057; Yu Liu 005; You He (CoRR, 2024)

Supporting Your Idea Reasonably: A Knowledge-Aware Topic Reasoning Strategy for Citation Recommendation. - Likang Wu; Zhi Li 057; Hongke Zhao; Zhenya Huang; Yongqiang Han; Junji Jiang; Enhong Chen (IEEE Trans. Knowl. Data Eng., 2024)

Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements. - Weidong He; Zhi Li 057; Hao Wang 076; Tong Xu 001; Zhefeng Wang 001; Baoxing Huai; Nicholas Jing Yuan; Enhong Chen (ACM Trans. Intell. Syst. Technol., 2024)

Mitigating Redundancy in Deep Recommender Systems: A Field Importance Distribution Perspective. - Xianquan Wang; Likang Wu; Zhi Li 057; Haitao Yuan 002; Shuanghong Shen; Huibo Xu; Yu Su 002; Chenyi Lei (KDD (1), 2025)

ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis. - Mingyue Cheng; Jiqian Yang; Tingyue Pan; Qi Liu 003; Zhi Li 057; Shijin Wang 001 (WWW (Companion Volume), 2025)

Promoting Machine Abilities of Discovering and Utilizing Knowledge in a Unified Zero-Shot Learning Paradigm. - Qingyang Mao; Zhi Li 057; Qi Liu 003; Likang Wu; Hefu Zhang; Enhong Chen (ACM Trans. Knowl. Discov. Data, 2025)

A Universal Framework for Compressing Embeddings in CTR Prediction. - Kefan Wang; Hao Wang 076; Kenan Song; Wei Guo 006; Kai Cheng; Zhi Li 057; Yong Liu 020; Defu Lian; Enhong Chen (CoRR, 2025)

ArenaSim: A High-Performance Simulation Platform for Multi-Robot Self-Play Learning. - Yuxin Ke; Shaohui Li; Zhi Li 057; Haoran Li 010; Yu Liu 005; You He (IEEE Robotics Autom. Lett., 2025)