Information Filtering via Collaborative User Clustering Modeling. - Chu-Xu Zhang; Zi-Ke Zhang; Lu Yu 006; Chuang Liu 001; Hao Liu; Xiao-Yong Yan (CoRR, 2013)

ILCR: Item-based Latent Factors for Sparse Collaborative Retrieval. - Lu Yu 006; Junming Huang 001; Chuang Liu 001; Zi-Ke Zhang (CoRR, 2014)

A Novel Approach for Generating Personalized Mention List on Micro-Blogging System. - Ge Zhou; Lu Yu 006; Chu-Xu Zhang; Chuang Liu 001; Zi-Ke Zhang; Jianlin Zhang (ICDM Workshops, 2015)

Multi-linear interactive matrix factorization. - Lu Yu 006; Chuang Liu 001; Zi-Ke Zhang (Knowl. Based Syst., 2015)

RankMBPR: Rank-Aware Mutual Bayesian Personalized Ranking for Item Recommendation. - Lu Yu 006; Ge Zhou; Chu-Xu Zhang; Junming Huang 001; Chuang Liu 001; Zi-Ke Zhang (WAIM (1), 2016)

AdaWIRL: A Novel Bayesian Ranking Approach for Personal Big-Hit Paper Prediction. - Chuxu Zhang; Lu Yu 006; Jie Lu; Tao Zhou 001; Zi-Ke Zhang (WAIM (2), 2016)

Identifying the Academic Rising Stars. - Chuxu Zhang; Chuang Liu 001; Lu Yu 006; Zi-Ke Zhang; Tao Zhou 001 (CoRR, 2016)

Identifying the Academic Rising Stars via Pairwise Citation Increment Ranking. - Chuxu Zhang; Chuang Liu 001; Lu Yu 006; Zi-Ke Zhang; Tao Zhou 001 (APWeb/WAIM (1), 2017)

A Community-Aware Approach to Minimizing Dissemination in Graphs. - Chuxu Zhang; Lu Yu 006; Chuang Liu 001; Zi-Ke Zhang; Tao Zhou 001 (APWeb/WAIM (1), 2017)

ImWalkMF: Joint matrix factorization and implicit walk integrative learning for recommendation. - Chuxu Zhang; Lu Yu 006; Xiangliang Zhang 001; Nitesh V. Chawla (IEEE BigData, 2017)

Collaborative User Network Embedding for Social Recommender Systems. - Chuxu Zhang; Lu Yu 006; Yan Wang 002; Chirag Shah 001; Xiangliang Zhang 001 (SDM, 2017)

TIIREC: A tensor approach for tag-driven item recommendation with sparse user generated content. - Lu Yu 006; Junming Huang 001; Ge Zhou; Chuang Liu 001; Zi-Ke Zhang (Inf. Sci., 2017)

WalkRanker: A Unified Pairwise Ranking Model With Multiple Relations for Item Recommendation. - Lu Yu 006; Chuxu Zhang; Shichao Pei; Guolei Sun; Xiangliang Zhang 001 (AAAI, 2018)

Spatio-Temporal Attention based Recurrent Neural Network for Next Location Prediction. - Basmah Altaf; Lu Yu 006; Xiangliang Zhang 001 (IEEE BigData, 2018)

Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference. - Chuxu Zhang; Lu Yu 006; Xiangliang Zhang 001; Nitesh V. Chawla (IJCAI, 2018)

Camel: Content-Aware and Meta-path Augmented Metric Learning for Author Identification. - Chuxu Zhang; Chao Huang 001; Lu Yu 006; Xiangliang Zhang 001; Nitesh V. Chawla (WWW, 2018)

Multi-Order Attentive Ranking Model for Sequential Recommendation. - Lu Yu 006; Chuxu Zhang; Shangsong Liang; Xiangliang Zhang 001 (AAAI, 2019)

Dataset Recommendation via Variational Graph Autoencoder. - Basmah Altaf; Uchenna Akujuobi; Lu Yu 006; Xiangliang Zhang 001 (ICDM, 2019)

Improving Cross-lingual Entity Alignment via Optimal Transport. - Shichao Pei; Lu Yu 006; Xiangliang Zhang 001 (IJCAI, 2019)

Semi-Supervised Entity Alignment via Knowledge Graph Embedding with Awareness of Degree Difference. - Shichao Pei; Lu Yu 006; Robert Hoehndorf; Xiangliang Zhang 001 (WWW, 2019)

Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases. - Chuxu Zhang; Lu Yu 006; Mandana Saebi; Meng Jiang 001; Nitesh V. Chawla (EMNLP (Findings), 2020)

REA: Robust Cross-lingual Entity Alignment Between Knowledge Graphs. - Shichao Pei; Lu Yu 006; Guoxian Yu; Xiangliang Zhang 001 (KDD, 2020)

Addressing Class-Imbalance Problem in Personalized Ranking. - Lu Yu 006; Shichao Pei; Chuxu Zhang; Shangsong Liang; Xiao Bai 002; Xiangliang Zhang 001 (CoRR, 2020)

Self-supervised Smoothing Graph Neural Networks. - Lu Yu 006; Shichao Pei; Chuxu Zhang; Lizhong Ding 001; Jun Zhou 011; Longfei Li; Xiangliang Zhang 001 (CoRR, 2020)

Inductive Contextual Relation Learning for Personalization. - Chuxu Zhang; Huaxiu Yao; Lu Yu 006; Chao Huang 001; Dongjin Song; Haifeng Chen; Meng Jiang 001; Nitesh V. Chawla (ACM Trans. Inf. Syst., 2021)

SAIL: Self-Augmented Graph Contrastive Learning. - Lu Yu 006; Shichao Pei; Lizhong Ding 001; Jun Zhou 011; Longfei Li; Chuxu Zhang; Xiangliang Zhang 001 (AAAI, 2022)

A Biased Sampling Method for Imbalanced Personalized Ranking. - Lu Yu 006; Shichao Pei; Feng Zhu 011; Longfei Li; Jun Zhou 011; Chuxu Zhang; Xiangliang Zhang 001 (CIKM, 2022)

An Adaptive Framework for Confidence-constraint Rule Set Learning Algorithm in Large Dataset. - Meng Li; Lu Yu 006; Ya-Lin Zhang 001; Xiaoguang Huang; Qitao Shi; Qing Cui; Xinxing Yang; Longfei Li; Wei Zhu; Yanming Fang; Jun Zhou 011 (CIKM, 2022)

MetaRule: A Meta-path Guided Ensemble Rule Set Learning for Explainable Fraud Detection. - Lu Yu 006; Meng Li; Xiaoguang Huang; Wei Zhu; Yanming Fang; Jun Zhou 011; Longfei Li (CIKM, 2022)

Set-aware Entity Synonym Discovery with Flexible Receptive Fields (Extended Abstract). - Shichao Pei; Lu Yu 006; Xiangliang Zhang 001 (ICDE, 2022)

Graph Alignment with Noisy Supervision. - Shichao Pei; Lu Yu 006; Guoxian Yu; Xiangliang Zhang 001 (WWW, 2022)

Improving Few-shot News Recommendation via Cross-lingual Transfer. - Taicheng Guo; Lu Yu 006; Xiangliang Zhang 001 (CoRR, 2022)

FINRule: Feature Interactive Neural Rule Learning. - Lu Yu 006; Meng Li; Ya-Lin Zhang 001; Longfei Li; Jun Zhou 011 (CIKM, 2023)

A Rule-based Decision System for Financial Applications. - Meng Li; Jun Zhou 011; Lu Yu 006; Xiaoguang Huang; Yongfeng Gu; Yi Ding 006; Hao Ding; Longfei Li (ICDE, 2023)

DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. - Feng Zhu 011; Mingjie Zhong; Xinxing Yang; Longfei Li; Lu Yu 006; Tiehua Zhang; Jun Zhou 011; Chaochao Chen 001; Fei Wu 001; Guanfeng Liu 001; Yan Wang 002 (ICDE, 2023)

Few-shot News Recommendation via Cross-lingual Transfer. - Taicheng Guo; Lu Yu 006; Basem Shihada; Xiangliang Zhang 001 (WWW, 2023)

A Practical Rule Learning Framework for Risk Management. - Jun Zhou 011; Meng Li; Lu Yu 006; Longfei Li; Fei Wu 001 (WWW (Companion Volume), 2023)

Set-Aware Entity Synonym Discovery With Flexible Receptive Fields. - Shichao Pei; Lu Yu 006; Xiangliang Zhang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Modeling Treatment Effect with Cross-Domain Data. - Bin Han; Ya-Lin Zhang 001; Lu Yu 006; Biying Chen; Longfei Li; Jun Zhou 011 (PAKDD (1), 2024)

Domain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding. - Ya-Lin Zhang 001; Caizhi Tang; Lu Yu 006; Jun Zhou 011; Longfei Li; Qing Cui; Fangfang Fan; Linbo Jiang; Xiaosong Zhao (WSDM, 2024)

Professional Agents - Evolving Large Language Models into Autonomous Experts with Human-Level Competencies. - Zhixuan Chu; Yan Wang 002; Feng Zhu 011; Lu Yu 006; Longfei Li; Jinjie Gu (CoRR, 2024)

A distribution-free method for probabilistic prediction. - Qitao Shi; Ya-Lin Zhang 001; Lu Yu 006; Feng Zhu 011; Longfei Li; Jun Zhou 011; Yanming Fang (Expert Syst. Appl., 2024)

MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models. - Jiazheng Li 012; Lu Yu 006; Qing Cui; Zhiqiang Zhang 012; Jun Zhou 011; Yanfang Ye 001; Chuxu Zhang (CoRR, 2025)