Lu Yu

48 papers A* 15A 6Journal 17Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
GRIP: Geometric Refinement and Adaptive Information Potential for Data Efficiency.
CoRR
Changhao Wang, Jiaolong Yang, Xinhao Yao, Yunfei Yu, Peng Jiao, Lu Yu, Junpeng Fang, Riccardo Cantoro, Qing Cui, Jun Zhou
2025 A* conf
MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models.
ICML
Jiazheng Li, Lu Yu, Qing Cui, Zhiqiang Zhang, Jun Zhou, Yanfang Ye, Chuxu Zhang
2025 J jnl
MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models.
CoRR
Jiazheng Li, Lu Yu, Qing Cui, Zhiqiang Zhang, Jun Zhou, Yanfang Ye, Chuxu Zhang
2025 J jnl
The Debate on RLVR Reasoning Capability Boundary: Shrinkage, Expansion, or Both? A Two-Stage Dynamic View.
CoRR
Xinhao Yao, Lu Yu, Xiaolin Hu, Fengwei Teng, Qing Cui, Jun Zhou, Yong Liu
2024 J jnl
A distribution-free method for probabilistic prediction.
Expert Syst. Appl.
Qitao Shi, Ya-Lin Zhang, Lu Yu, Feng Zhu, Longfei Li, Jun Zhou, Yanming Fang
2024 A conf
Domain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding.
WSDM
Ya-Lin Zhang, Caizhi Tang, Lu Yu, Jun Zhou, Longfei Li, Qing Cui, Fangfang Fan, Linbo Jiang, Xiaosong Zhao
2024 — conf
Modeling Treatment Effect with Cross-Domain Data.
PAKDD (1)
Bin Han, Ya-Lin Zhang, Lu Yu, Biying Chen, Longfei Li, Jun Zhou
2024 J jnl
Professional Agents - Evolving Large Language Models into Autonomous Experts with Human-Level Competencies.
CoRR
Zhixuan Chu, Yan Wang, Feng Zhu, Lu Yu, Longfei Li, Jinjie Gu
2023 — conf
A Practical Rule Learning Framework for Risk Management.
WWW (Companion Volume)
Jun Zhou, Meng Li, Lu Yu, Longfei Li, Fei Wu
2023 A* conf
A Rule-based Decision System for Financial Applications.
ICDE
Meng Li, Jun Zhou, Lu Yu, Xiaoguang Huang, Yongfeng Gu, Yi Ding, Hao Ding, Longfei Li
2023 A* conf
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation.
ICDE
Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang
2023 J jnl
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation.
CoRR
Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang
2023 A conf
FINRule: Feature Interactive Neural Rule Learning.
CIKM
Lu Yu, Meng Li, Ya-Lin Zhang, Longfei Li, Jun Zhou
2023 A* conf
Few-shot News Recommendation via Cross-lingual Transfer.
WWW
Taicheng Guo, Lu Yu, Basem Shihada, Xiangliang Zhang
2023 J jnl
Set-Aware Entity Synonym Discovery With Flexible Receptive Fields.
IEEE Trans. Knowl. Data Eng.
Shichao Pei, Lu Yu, Xiangliang Zhang
2022 A conf
A Biased Sampling Method for Imbalanced Personalized Ranking.
CIKM
Lu Yu, Shichao Pei, Feng Zhu, Longfei Li, Jun Zhou, Chuxu Zhang, Xiangliang Zhang
2022 A conf
An Adaptive Framework for Confidence-constraint Rule Set Learning Algorithm in Large Dataset.
CIKM
Meng Li, Lu Yu, Ya-Lin Zhang, Xiaoguang Huang, Qitao Shi, Qing Cui, Xinxing Yang, Longfei Li, Wei Zhu, Yanming Fang, Jun Zhou
2022 A* conf
Graph Alignment with Noisy Supervision.
WWW
Shichao Pei, Lu Yu, Guoxian Yu, Xiangliang Zhang
2022 J jnl
Improving Few-shot News Recommendation via Cross-lingual Transfer.
CoRR
Taicheng Guo, Lu Yu, Xiangliang Zhang
2022 A conf
MetaRule: A Meta-path Guided Ensemble Rule Set Learning for Explainable Fraud Detection.
CIKM
Lu Yu, Meng Li, Xiaoguang Huang, Wei Zhu, Yanming Fang, Jun Zhou, Longfei Li
2022 A* conf
SAIL: Self-Augmented Graph Contrastive Learning.
AAAI
Lu Yu, Shichao Pei, Lizhong Ding, Jun Zhou, Longfei Li, Chuxu Zhang, Xiangliang Zhang
2022 A* conf
Set-aware Entity Synonym Discovery with Flexible Receptive Fields (Extended Abstract).
ICDE
Shichao Pei, Lu Yu, Xiangliang Zhang
2021 J jnl
Inductive Contextual Relation Learning for Personalization.
ACM Trans. Inf. Syst.
Chuxu Zhang, Huaxiu Yao, Lu Yu, Chao Huang, Dongjin Song, Haifeng Chen, Meng Jiang, Nitesh V. Chawla
2020 J jnl
Addressing Class-Imbalance Problem in Personalized Ranking.
CoRR
Lu Yu, Shichao Pei, Chuxu Zhang, Shangsong Liang, Xiao Bai, Xiangliang Zhang
2020 — conf
Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases.
EMNLP (Findings)
Chuxu Zhang, Lu Yu, Mandana Saebi, Meng Jiang, Nitesh V. Chawla
2020 A* conf
REA: Robust Cross-lingual Entity Alignment Between Knowledge Graphs.
KDD
Shichao Pei, Lu Yu, Guoxian Yu, Xiangliang Zhang
2020 J jnl
Self-supervised Smoothing Graph Neural Networks.
CoRR
Lu Yu, Shichao Pei, Chuxu Zhang, Lizhong Ding, Jun Zhou, Longfei Li, Xiangliang Zhang
2019 A* conf
Dataset Recommendation via Variational Graph Autoencoder.
ICDM
Basmah Altaf, Uchenna Akujuobi, Lu Yu, Xiangliang Zhang
2019 A* conf
Improving Cross-lingual Entity Alignment via Optimal Transport.
IJCAI
Shichao Pei, Lu Yu, Xiangliang Zhang
2019 A* conf
Multi-Order Attentive Ranking Model for Sequential Recommendation.
AAAI
Lu Yu, Chuxu Zhang, Shangsong Liang, Xiangliang Zhang
2019 A* conf
Semi-Supervised Entity Alignment via Knowledge Graph Embedding with Awareness of Degree Difference.
WWW
Shichao Pei, Lu Yu, Robert Hoehndorf, Xiangliang Zhang
2018 A* conf
Camel: Content-Aware and Meta-path Augmented Metric Learning for Author Identification.
WWW
Chuxu Zhang, Chao Huang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla
2018 — conf
Spatio-Temporal Attention based Recurrent Neural Network for Next Location Prediction.
IEEE BigData
Basmah Altaf, Lu Yu, Xiangliang Zhang
2018 A* conf
Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference.
IJCAI
Chuxu Zhang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla
2018 A* conf
WalkRanker: A Unified Pairwise Ranking Model With Multiple Relations for Item Recommendation.
AAAI
Lu Yu, Chuxu Zhang, Shichao Pei, Guolei Sun, Xiangliang Zhang
2017 — conf
A Community-Aware Approach to Minimizing Dissemination in Graphs.
APWeb/WAIM (1)
Chuxu Zhang, Lu Yu, Chuang Liu, Zi-Ke Zhang, Tao Zhou
2017 A conf
Collaborative User Network Embedding for Social Recommender Systems.
SDM
Chuxu Zhang, Lu Yu, Yan Wang, Chirag Shah, Xiangliang Zhang
2017 — conf
Identifying the Academic Rising Stars via Pairwise Citation Increment Ranking.
APWeb/WAIM (1)
Chuxu Zhang, Chuang Liu, Lu Yu, Zi-Ke Zhang, Tao Zhou
2017 — conf
ImWalkMF: Joint matrix factorization and implicit walk integrative learning for recommendation.
IEEE BigData
Chuxu Zhang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla
2017 J jnl
TIIREC: A tensor approach for tag-driven item recommendation with sparse user generated content.
Inf. Sci.
Lu Yu, Junming Huang, Ge Zhou, Chuang Liu, Zi-Ke Zhang
2016 — conf
AdaWIRL: A Novel Bayesian Ranking Approach for Personal Big-Hit Paper Prediction.
WAIM (2)
Chuxu Zhang, Lu Yu, Jie Lu, Tao Zhou, Zi-Ke Zhang
2016 J jnl
Identifying the Academic Rising Stars.
CoRR
Chuxu Zhang, Chuang Liu, Lu Yu, Zi-Ke Zhang, Tao Zhou
2016 — conf
RankMBPR: Rank-Aware Mutual Bayesian Personalized Ranking for Item Recommendation.
WAIM (1)
Lu Yu, Ge Zhou, Chu-Xu Zhang, Junming Huang, Chuang Liu, Zi-Ke Zhang
2015 — conf
A Novel Approach for Generating Personalized Mention List on Micro-Blogging System.
ICDM Workshops
Ge Zhou, Lu Yu, Chu-Xu Zhang, Chuang Liu, Zi-Ke Zhang, Jianlin Zhang
2015 J jnl
Multi-linear interactive matrix factorization.
Knowl. Based Syst.
Lu Yu, Chuang Liu, Zi-Ke Zhang
2014 J jnl
ILCR: Item-based Latent Factors for Sparse Collaborative Retrieval.
CoRR
Lu Yu, Junming Huang, Chuang Liu, Zi-Ke Zhang
2014 J jnl
Multi-Linear Interactive Matrix Factorization.
CoRR
Lu Yu, Chuang Liu, Zi-Ke Zhang
2013 J jnl
Information Filtering via Collaborative User Clustering Modeling.
CoRR
Chu-Xu Zhang, Zi-Ke Zhang, Lu Yu, Chuang Liu, Hao Liu, Xiao-Yong Yan