Effective and efficient attributed community search. - Yixiang Fang; Reynold Cheng; Yankai Chen 001; Siqiang Luo; Jiafeng Hu (VLDB J., 2017)

Exploring Communities in Large Profiled Graphs (Extended Abstract). - Yankai Chen 001; Yixiang Fang; Reynold Cheng; Yun Li; Xiaojun Chen 006; Jie Zhang 002 (ICDE, 2019)

Exploring Communities in Large Profiled Graphs. - Yankai Chen 001; Yixiang Fang; Reynold Cheng; Yun Li; Xiaojun Chen 006; Jie Zhang 002 (IEEE Trans. Knowl. Data Eng., 2019)

A Literature Review of Recent Graph Embedding Techniques for Biomedical Data. - Yankai Chen 001; Yaozu Wu; Shicheng Ma; Irwin King (ICONIP (5), 2020)

Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach. - Yankai Chen 001; Jie Zhang 002; Yixiang Fang; Xin Cao 001; Irwin King (IJCAI, 2020)

Modeling Scale-free Graphs for Knowledge-aware Recommendation. - Yankai Chen 001; Menglin Yang 001; Yingxue Zhang 001; Mengchen Zhao; Ziqiao Meng; Jian Hao; Irwin King (CoRR, 2021)

Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Recommendation. - Yankai Chen 001; Yaming Yang 001; Yujing Wang; Jing Bai 010; Xiangchen Song; Irwin King (CoRR, 2021)

Towards Low-loss 1-bit Quantization of User-item Representations for Top-K Recommendation. - Yankai Chen 001; Yifei Zhang; Yingxue Zhang 001; Huifeng Guo; Jingjie Li; Ruiming Tang; Xiuqiang He 001; Irwin King (CoRR, 2021)

Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation. - Yankai Chen 001; Yaming Yang 001; Yujing Wang; Jing Bai 010; Xiangchen Song; Irwin King (ICDE, 2022)

An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching. - Yankai Chen 001; Yifei Zhang; Huifeng Guo; Ruiming Tang; Irwin King (AACL/IJCNLP (2), 2022)

Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation. - Yankai Chen 001; Huifeng Guo; Yingxue Zhang 001; Chen Ma 001; Ruiming Tang; Jingjie Li; Irwin King (KDD, 2022)

Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation. - Yankai Chen 001; Menglin Yang 001; Yingxue Zhang 001; Mengchen Zhao; Ziqiao Meng; Jianye Hao; Irwin King (WSDM, 2022)

Knowledge-aware Neural Networks with Personalized Feature Referencing for Cold-start Recommendation. - Xinni Zhang; Yankai Chen 001; Cuiyun Gao 001; Qing Liao 001; Shenglin Zhao; Irwin King (CoRR, 2022)

Hyperbolic Representation Learning: Revisiting and Advancing. - Menglin Yang 001; Min Zhou 006; Rex Ying; Yankai Chen 001; Irwin King (ICML, 2023)

Contrastive Cross-scale Graph Knowledge Synergy. - Yifei Zhang; Yankai Chen 001; Zixing Song; Irwin King (KDD, 2023)

Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective. - Yifei Zhang; Hao Zhu 010; Yankai Chen 001; Zixing Song; Piotr Koniusz; Irwin King (NeurIPS, 2023)

WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. - Yankai Chen 001; Yifei Zhang; Menglin Yang 001; Zixing Song; Chen Ma 001; Irwin King (SIGIR, 2023)

Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space. - Yankai Chen 001; Yixiang Fang; Yifei Zhang; Irwin King (WWW, 2023)

An Augmented Index-based Efficient Community Search for Large Directed Graphs. - Yankai Chen 001; Jie Zhang 002; Yixiang Fang; Xin Cao 001; Irwin King (CoRR, 2023)

A survey on graph embedding techniques for biomedical data: Methods and applications. - Yaozu Wu; Yankai Chen 001; Zhishuai Yin; Weiping Ding 001; Irwin King (Inf. Fusion, 2023)

Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks. - Yankai Chen 001; Yixiang Fang; Qiongyan Wang; Xin Cao 001; Irwin King (AAAI, 2024)

HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval. - Zexuan Qiu; Jiahong Liu 001; Yankai Chen 001; Irwin King (AAAI, 2024)

Influential Exemplar Replay for Incremental Learning in Recommender Systems. - Xinni Zhang; Yankai Chen 001; Chenhao Ma 001; Yixiang Fang; Irwin King (AAAI, 2024)

Effective Job-market Mobility Prediction with Attentive Heterogeneous Knowledge Learning and Synergy. - Sida Lin; Zhouyi Zhang; Yankai Chen 001; Chenhao Ma 001; Yixiang Fang; Shan Dai; Guangli Lu (CIKM, 2024)

EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction. - Zexuan Qiu; Jieming Zhu; Yankai Chen 001; Guohao Cai; Weiwen Liu; Zhenhua Dong; Irwin King (CIKM, 2024)

Shopping Trajectory Representation Learning with Pre-training for E-commerce Customer Understanding and Recommendation. - Yankai Chen 001; Quoc-Tuan Truong; Xin Shen; Jin Li 003; Irwin King (KDD, 2024)

Geometric View of Soft Decorrelation in Self-Supervised Learning. - Yifei Zhang; Hao Zhu 010; Zixing Song; Yankai Chen 001; Xinyu Fu 004; Ziqiao Meng; Piotr Koniusz; Irwin King (KDD, 2024)

Recent Advances of Multimodal Continual Learning: A Comprehensive Survey. - Dianzhi Yu; Xinni Zhang; Yankai Chen 001; Aiwei Liu; Yifei Zhang; Philip S. Yu; Irwin King (CoRR, 2024)

Towards Effective Top-N Hamming Search via Bipartite Graph Contrastive Hashing. - Yankai Chen 001; Yixiang Fang; Yifei Zhang; Chenhao Ma 001; Yang Hong; Irwin King (IEEE Trans. Knowl. Data Eng., 2024)

TestNUC: Enhancing Test-Time Computing Approaches and Scaling through Neighboring Unlabeled Data Consistency. - Henry Peng Zou; Zhengyao Gu; Yue Zhou; Yankai Chen 001; Weizhi Zhang 001; Liancheng Fang; Yibo Wang 001; Yangning Li; Kay Liu; Philip S. Yu (ACL (1), 2025)

UTCS: Effective Unsupervised Temporal Community Search with Pre-training of Temporal Dynamics and Subgraph Knowledge. - Yue Zhang; Yankai Chen 001; Yingli Zhou; Yucan Guo; Xiaolin Han 002; Chenhao Ma 001 (SIGIR, 2025)

Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization. - Yankai Chen 001; Taotao Wang; Yixiang Fang; Yunyu Xiao (WWW, 2025)

TRACE: Intra-visit Clinical Event Nowcasting via Effective Patient Trajectory Encoding. - Yuyang Liang; Yankai Chen 001; Yixiang Fang; Laks V. S. Lakshmanan; Chenhao Ma 001 (WWW (Companion Volume), 2025)

CSPO: Cross-Market Synergistic Stock Price Movement Forecasting with Pseudo-volatility Optimization. - Sida Lin; Yankai Chen 001; Yiyan Qi; Chenhao Ma 001; Bokai Cao; Yifei Zhang; Xue Liu 001; Jian Guo (WWW (Companion Volume), 2025)

Rank Gap Sensitive Deep AUC maximization for CTR prediction. - Fangyuan Luo; Yankai Chen 001; Jun Wu 007; Yidong Li (Pattern Recognit., 2025)

Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances. - Yaozu Wu; Dongyuan Li; Yankai Chen 001; Renhe Jiang; Henry Peng Zou; Liancheng Fang; Zhen Wang 004; Philip S. Yu (CoRR, 2025)

TestNUC: Enhancing Test-Time Computing Approaches through Neighboring Unlabeled Data Consistency. - Henry Peng Zou; Zhengyao Gu; Yue Zhou; Yankai Chen 001; Weizhi Zhang 001; Liancheng Fang; Yibo Wang 001; Yangning Li; Kay Liu; Philip S. Yu (CoRR, 2025)

Semi-Supervised In-Context Learning: A Baseline Study. - Zhengyao Gu; Henry Peng Zou; Yankai Chen 001; Aiwei Liu; Weizhi Zhang 001; Philip S. Yu (CoRR, 2025)

A Survey on Deep Active Learning: Recent Advances and New Frontiers. - Dongyuan Li; Zhen Wang 004; Yankai Chen 001; Renhe Jiang; Weiping Ding 001; Manabu Okumura (IEEE Trans. Neural Networks Learn. Syst., 2025)

A Survey on Large Language Model based Human-Agent Systems. - Henry Peng Zou; Wei-Chieh Huang; Yaozu Wu; Yankai Chen 001; Chunyu Miao; Hoang Nguyen; Yue Zhou; Weizhi Zhang 001; Liancheng Fang; Langzhou He; Yangning Li; Dongyuan Li; et al. (CoRR, 2025)

MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection. - Liancheng Fang; Aiwei Liu; Henry Peng Zou; Yankai Chen 001; Hengrui Zhang; Zhongfen Deng; Philip S. Yu (CoRR, 2025)

A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy. - Henry Peng Zou; Wei-Chieh Huang; Yaozu Wu; Chunyu Miao; Dongyuan Li; Aiwei Liu; Yue Zhou; Yankai Chen 001; Weizhi Zhang 001; Yangning Li; Liancheng Fang; Renhe Jiang; et al. (CoRR, 2025)

From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents. - Weizhi Zhang 001; Yangning Li; Yuanchen Bei; Junyu Luo 002; Guancheng Wan; Liangwei Yang; Chenxuan Xie; Yuyao Yang; Wei-Chieh Huang; Chunyu Miao; Henry Peng Zou; Xiao Luo 001; et al. (CoRR, 2025)

Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering. - Yankai Chen 001; Yue Que; Xinni Zhang; Chen Ma 001; Irwin King (ACM Trans. Inf. Syst., 2025)