Personalized Query Suggestion Diversification. - Wanyu Chen; Fei Cai; Honghui Chen; Maarten de Rijke (SIGIR, 2017)

A Confidence-ellipse Based Approach for Area Measurement in Localization System. - Wanyu Chen; Honghui Chen; Tao Chen; Fei Cai (Ad Hoc Sens. Wirel. Networks, 2017)

Learning search popularity for personalized query completion in information retrieval. - Fei Cai; Wanyu Chen; Xinliang Ou (J. Intell. Fuzzy Syst., 2017)

Attention-based Hierarchical Neural Query Suggestion. - Wanyu Chen; Fei Cai; Honghui Chen; Maarten de Rijke (SIGIR, 2018)

A Dynamic Co-attention Network for Session-based Recommendation. - Wanyu Chen; Fei Cai; Honghui Chen; Maarten de Rijke (CIKM, 2019)

Hierarchical Neural Representation for Document Classification. - Jianming Zheng; Fei Cai; Wanyu Chen; Chong Feng; Honghui Chen (Cogn. Comput., 2019)

Improving End-to-End Sequential Recommendations with Intent-aware Diversification. - Wanyu Chen; Pengjie Ren; Fei Cai; Maarten de Rijke (CoRR, 2019)

Joint Neural Collaborative Filtering for Recommender Systems. - Wanyu Chen; Fei Cai; Honghui Chen; Maarten de Rijke (ACM Trans. Inf. Syst., 2019)

Improving End-to-End Sequential Recommendations with Intent-aware Diversification. - Wanyu Chen; Pengjie Ren; Fei Cai; Fei Sun 001; Maarten de Rijke (CIKM, 2020)

Star Graph Neural Networks for Session-based Recommendation. - Zhiqiang Pan; Fei Cai; Wanyu Chen; Honghui Chen; Maarten de Rijke (CIKM, 2020)

A Hybrid-Preference Neural Model for Basket-Sensitive Item Recommendation. - Zhiqiang Pan; Wanyu Chen; Honghui Chen (IEEE Access, 2020)

Attribute-aware Diversification for Sequential Recommendations. - Anton Steenvoorden; Emanuele Di Gloria; Wanyu Chen; Pengjie Ren; Maarten de Rijke (CoRR, 2020)

Personalized query suggestion diversification in information retrieval. - Wanyu Chen; Fei Cai; Honghui Chen; Maarten de Rijke (Frontiers Comput. Sci., 2020)

Hierarchical neural query suggestion with an attention mechanism. - Wanyu Chen; Fei Cai; Honghui Chen; Maarten de Rijke (Inf. Process. Manag., 2020)

Metric Sentiment Learning for Label Representation. - Chengyu Song; Fei Cai; Jianming Zheng; Wanyu Chen; Zhiqiang Pan (CIKM, 2021)

Taxonomy-aware Learning for Few-Shot Event Detection. - Jianming Zheng; Fei Cai; Wanyu Chen; Wengqiang Lei; Honghui Chen (WWW, 2021)

HHGN: A Hierarchical Reasoning-based Heterogeneous Graph Neural Network for fact verification. - Chonghao Chen; Fei Cai; Xuejun Hu; Wanyu Chen; Honghui Chen (Inf. Process. Manag., 2021)

Context-Controlled Topic-Aware Neural Response Generation for Open-Domain Dialog Systems. - Yanxiang Ling; Fei Cai; Xuejun Hu; Jun Liu 002; Wanyu Chen; Honghui Chen (Inf. Process. Manag., 2021)

Combining Virtual Reality and Eye Tracking to Recognize Users' Aesthetic Preference for Product Modeling. - Wanyu Chen; Haining Wang 004 (HCI (20), 2022)

Self-supervised clarification question generation for ambiguous multi-turn conversation. - Taihua Shao; Fei Cai; Wanyu Chen; Honghui Chen (Inf. Sci., 2022)

Session-based recommendation with an importance extraction module. - Zhiqiang Pan; Fei Cai; Wanyu Chen; Honghui Chen (Neural Comput. Appl., 2022)

Multi-interest Diversification for End-to-end Sequential Recommendation. - Wanyu Chen; Pengjie Ren; Fei Cai; Fei Sun 001; Maarten de Rijke (ACM Trans. Inf. Syst., 2022)

Graph Co-Attentive Session-based Recommendation. - Zhiqiang Pan; Fei Cai; Wanyu Chen; Honghui Chen (ACM Trans. Inf. Syst., 2022)

Collaborative Graph Learning for Session-based Recommendation. - Zhiqiang Pan; Fei Cai; Wanyu Chen; Chonghao Chen; Honghui Chen (ACM Trans. Inf. Syst., 2022)

MultiPLe: Multilingual Prompt Learning for Relieving Semantic Confusions in Few-shot Event Detection. - Siyuan Wang; Jianming Zheng; Wanyu Chen; Fei Cai; Xueshan Luo (CIKM, 2023)

Gentle-CLIP: Exploring Aligned Semantic In Low-Quality Multimodal Data With Soft Alignment. - Zijia Song; Zelin Zang; Yelin Wang; Guozheng Yang; Jiangbin Zheng 002; Kaicheng yu; Wanyu Chen; Stan Z. Li (CoRR, 2024)

Input-oriented demonstration learning for hybrid evidence fact verification. - Chonghao Chen; Wanyu Chen; Jianming Zheng; Aimin Luo; Fei Cai; Yijia Zhang (Expert Syst. Appl., 2024)

Inductive link prediction on temporal networks through causal inference. - Zhiqiang Pan; Fei Cai; Wanyu Chen; Taihua Shao; Yupu Guo; Honghui Chen (Inf. Sci., 2024)

BP-MoE: Behavior Pattern-aware Mixture-of-Experts for Temporal Graph Representation Learning. - Chonghao Chen; Fei Cai; Wanyu Chen; Jianming Zheng; Xin Zhang 123; Aimin Luo (Knowl. Based Syst., 2024)

On the Cross-Graph Transferability of Dynamic Link Prediction. - Zhiqiang Pan; Chen Gao 001; Fei Cai; Wanyu Chen; Xin Zhang 123; Honghui Chen; Yong Li 008 (WWW, 2025)

Triangle Matters! TopDyG: Topology-aware Transformer for Link Prediction on Dynamic Graphs. - Xin Zhang; Fei Cai; Jianming Zheng; Zhiqiang Pan; Wanyu Chen; Honghui Chen; Chonghao Chen (WWW, 2025)

MambaRSIS: Context-aware multi-scale feature aggregation with selective state space model for remote sensing instance segmentation. - Liyuan Pan; Xu Cao; Huanxin Zou; Hao Chen 046; Shitian He; Yuqing Zhang; Xuanming Liu; Jiangshan Li; Wanyu Chen (Eng. Appl. Artif. Intell., 2025)

PEARL: A dual-layer graph learning for multimodal recommendation. - Yuzhuo Dang; Wanyu Chen; Zhiqiang Pan; Yuxiao Duan; Fei Cai; Honghui Chen (Inf. Fusion, 2025)

Cascading multi-scale graph pre-training and prompt tuning for learning-based community search. - Chonghao Chen; Jianming Zheng; Wanyu Chen; Xin Zhang 123; Yupu Guo; Aimin Luo; Fei Cai (Inf. Process. Manag., 2025)

Information bottleneck-driven prompt on graphs for unifying downstream few-shot classification tasks. - Xin Zhang 123; Wanyu Chen; Fei Cai; Jianming Zheng; Zhiqiang Pan; Yupu Guo; Honghui Chen (Inf. Process. Manag., 2025)

Discrepancy Learning Guided Hierarchical Fusion Network for Multi-modal Recommendation. - Yuzhuo Dang; Zhiqiang Pan; Xin Zhang 123; Wanyu Chen; Fei Cai; Honghui Chen (Knowl. Based Syst., 2025)

Time-Aware Graph Learning for Link Prediction on Temporal Networks. - Zhiqiang Pan; Honghui Chen; Wanyu Chen; Fei Cai; Xinwang Liu 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)

MLLMRec: Exploring the Potential of Multimodal Large Language Models in Recommender Systems. - Yuzhuo Dang; Xin Zhang 123; Zhiqiang Pan; Yuxiao Duan; Wanyu Chen; Fei Cai; Honghui Chen (CoRR, 2025)