A Markov Chain Monte Carlo Approach for Source Detection in Networks. - Le Zhang 010; Tianyuan Jin; Tong Xu 001; Biao Chang; Zhefeng Wang 001; Enhong Chen (SMP, 2017)

Trend-Aware Tensor Factorization for Job Skill Demand Analysis. - Xunxian Wu; Tong Xu 001; Hengshu Zhu; Le Zhang 010; Enhong Chen; Hui Xiong 001 (IJCAI, 2019)

A Hierarchical Career-Path-Aware Neural Network for Job Mobility Prediction. - Qingxin Meng 002; Hengshu Zhu; Keli Xiao; Le Zhang 010; Hui Xiong 001 (KDD, 2019)

Large-Scale Talent Flow Forecast with Dynamic Latent Factor Model? - Le Zhang 010; Hengshu Zhu; Tong Xu 001; Chen Zhu 003; Chuan Qin 002; Hui Xiong 001; Enhong Chen (WWW, 2019)

Author Contributed Representation for Scholarly Network. - Binglei Wang; Tong Xu 001; Hao Wang 076; Yanmin Chen; Le Zhang 010; Lintao Fang; Guiquan Liu; Enhong Chen (APWeb/WAIM (1), 2020)

Large-Scale Talent Flow Embedding for Company Competitive Analysis. - Le Zhang 010; Tong Xu 001; Hengshu Zhu; Chuan Qin 002; Qingxin Meng 002; Hui Xiong 001; Enhong Chen (WWW, 2020)

Knowledge Powered Cooperative Semantic Fusion for Patent Classification. - Zhe Zhang; Tong Xu 001; Le Zhang 010; Yichao Du; Hui Xiong 001; Enhong Chen (CICAI, 2021)

Transportation Recommendation with Fairness Consideration. - Ding Zhou; Hao Liu 026; Tong Xu 001; Le Zhang 010; Rui Zha; Hui Xiong 001 (DASFAA (3), 2021)

Technological Knowledge Flow Forecasting through A Hierarchical Interactive Graph Neural Network. - Huijie Liu; Han Wu 002; Le Zhang 010; Runlong Yu; Ye Liu 011; Chunli Liu; Qi Liu 003; Enhong Chen (ICDM, 2021)

Detecting Highlighted Video Clips Through Emotion-Enhanced Audio-Visual Cues. - Linkang Hu; Weidong He; Le Zhang 010; Tong Xu 001; Hui Xiong 001; Enhong Chen (ICME, 2021)

Ontological Concept Structure Aware Knowledge Transfer for Inductive Knowledge Graph Embedding. - Chao Ren; Le Zhang 010; Lintao Fang; Tong Xu 001; Zhefeng Wang 001; Senchao Yuan; Enhong Chen (IJCNN, 2021)

Attentive Heterogeneous Graph Embedding for Job Mobility Prediction. - Le Zhang 010; Ding Zhou; Hengshu Zhu; Tong Xu 001; Rui Zha; Enhong Chen; Hui Xiong 001 (KDD, 2021)

Urban Crowd Density Prediction Based on Multi-relational Graph. - Qiming Hao; Le Zhang 010; Rui Zha; Ding Zhou; Zhe Zhang; Tong Xu 001; Enhong Chen (MDM, 2021)

Patent2Vec: Multi-view representation learning on patent-graphs for patent classification. - Lintao Fang; Le Zhang 010; Han Wu 002; Tong Xu 001; Ding Zhou; Enhong Chen (World Wide Web, 2021)

Multi-Graph Convolutional Recurrent Network for Fine-Grained Lane-Level Traffic Flow Imputation. - Jingci Ming; Le Zhang 010; Wei Fan 010; Weijia Zhang 003; Yu Mei; Weicen Ling; Hui Xiong 001 (ICDM, 2022)

Multi-Relational Graph Convolution Network for Stock Movement Prediction. - Zihao Zhou; Le Zhang 010; Rui Zha; Qiming Hao; Tong Xu 001; Di Wu 055; Enhong Chen (IJCNN, 2022)

Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning. - Zhuoning Guo; Hao Liu 026; Le Zhang 010; Qi Zhang 053; Hengshu Zhu; Hui Xiong 001 (KDD, 2022)

A hierarchical interactive multi-channel graph neural network for technological knowledge flow forecasting. - Huijie Liu; Han Wu 002; Le Zhang 010; Runlong Yu; Ye Liu 011; Chunli Liu; Minglei Li 001; Qi Liu 003; Enhong Chen (Knowl. Inf. Syst., 2022)

Complex Attributed Network Embedding for medical complication prediction. - Zhe Zhang; Hui Xiong 001; Tong Xu 001; Chuan Qin 002; Le Zhang 010; Enhong Chen (Knowl. Inf. Syst., 2022)

The Way to Success: A Multi-level Attentive Embedding Framework for Proposal Teamwork Analysis in Voting-Oriented System. - Rui Zha; Ding Zhou; Le Zhang 010; Tong Xu 001 (APWeb-WAIM (1), 2023)

ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness. - Yunfei Zhang; Chuan Qin 002; Dazhong Shen; Haiping Ma; Le Zhang 010; Xingyi Zhang 001; Hengshu Zhu (ICDM, 2023)

Hierarchical Reinforcement Learning for Dynamic Autonomous Vehicle Navigation at Intelligent Intersections. - Qian Sun 005; Le Zhang 010; Huan Yu; Weijia Zhang 003; Yu Mei; Hui Xiong 001 (KDD, 2023)

Hybrid Heterogeneous Graph Neural Networks for Fund Performance Prediction. - Siyuan Hao; Le Dai; Le Zhang 010; Shengming Zhang; Chao Wang 086; Chuan Qin 002; Hui Xiong 001 (KSEM (2), 2023)

A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics. - Chuan Qin 002; Le Zhang 010; Rui Zha; Dazhong Shen; Qi Zhang 053; Ying Sun 006; Chen Zhu 003; Hengshu Zhu; Hui Xiong 001 (CoRR, 2023)

Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network. - Weijia Zhang 003; Le Zhang 010; Jindong Han; Hao Liu 026; Jingbo Zhou; Yu Mei; Hui Xiong 001 (CoRR, 2023)

Spatio-Temporal Sequence Modeling for Traffic Signal Control. - Qian Sun 005; Le Zhang 010; Jingbo Zhou; Rui Zha; Yu Mei; Chujie Tian; Hui Xiong 001 (CIKM, 2024)

Scaling Up Multivariate Time Series Pre-Training with Decoupled Spatial-Temporal Representations. - Rui Zha; Le Zhang 010; Shuangli Li; Jingbo Zhou; Tong Xu 001; Hui Xiong 001; Enhong Chen (ICDE, 2024)

DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives. - Leilei Ding; Dazhong Shen; Chao Wang 086; Tianfu Wang 002; Le Zhang 010; Yanyong Zhang (IJCAI, 2024)

Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks. - Weijia Zhang 003; Le Zhang 010; Jindong Han; Hao Liu 026; Yanjie Fu; Jingbo Zhou; Yu Mei; Hui Xiong 001 (KDD, 2024)

Killing Two Birds with One Stone: Cross-modal Reinforced Prompting for Graph and Language Tasks. - Wenyuan Jiang; Wenwei Wu; Le Zhang 010; Zixuan Yuan; Jian Xiang; Jingbo Zhou; Hui Xiong 001 (KDD, 2024)

CrossLight: Offline-to-Online Reinforcement Learning for Cross-City Traffic Signal Control. - Qian Sun 005; Rui Zha; Le Zhang 010; Jingbo Zhou; Yu Mei; Zhiling Li; Hui Xiong 001 (KDD, 2024)

DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives. - Leilei Ding; Dazhong Shen; Chao Wang 086; Tianfu Wang 002; Le Zhang 010; Hui Xiong 001; Yanyong Zhang (CoRR, 2024)

Convergence-aware Clustered Federated Graph Learning Framework for Collaborative Inter-company Labor Market Forecasting. - Zhuoning Guo; Hao Liu 026; Le Zhang 010; Qi Zhang 053; Hengshu Zhu; Hui Xiong 001 (CoRR, 2024)

Career Mobility Analysis With Uncertainty-Aware Graph Autoencoders: A Job Title Transition Perspective. - Rui Zha; Chuan Qin 002; Le Zhang 010; Dazhong Shen; Tong Xu 001; Hengshu Zhu; Enhong Chen (IEEE Trans. Comput. Soc. Syst., 2024)

RDGT: Enhancing Group Cognitive Diagnosis With Relation-Guided Dual-Side Graph Transformer. - Xiaoshan Yu 002; Chuan Qin 002; Dazhong Shen; Haiping Ma; Le Zhang 010; Xingyi Zhang 001; Hengshu Zhu; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2024)

Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph. - Rui Zha; Ying Sun 006; Chuan Qin 002; Le Zhang 010; Tong Xu 001; Hengshu Zhu; Enhong Chen (ACM Trans. Inf. Syst., 2024)

University Evaluation Through Graduate Employment Prediction: An Influence Based Graph Autoencoder Approach. - Yuyang Ye 002; Hengshu Zhu; Tianyi Cui; Runlong Yu; Le Zhang 010; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2024)

LLM-Eraser: Optimizing Large Language Model Unlearning through Selective Pruning. - Shengming Zhang; Le Zhang 010; Jingbo Zhou; Zhi Zheng 008; Hui Xiong 001 (KDD (1), 2025)

Labor Migration Modeling Through Large-Scale Job Query Data. - Zhuoning Guo; Le Zhang 010; Hengshu Zhu; Weijia Zhang 003; Hui Xiong 001; Hao Liu 026 (PAKDD (1), 2025)

CHAT: Beyond Contrastive Graph Transformer for Link Prediction in Heterogeneous Networks. - Shengming Zhang; Le Zhang 010; Jingbo Zhou; Hui Xiong 001 (CoRR, 2025)

A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics. - Chuan Qin 002; Le Zhang 010; Yihang Cheng 001; Rui Zha; Dazhong Shen; Qi Zhang 053; Xi Chen 073; Ying Sun 006; Chen Zhu 003; Hengshu Zhu; Hui Xiong 001 (Proc. IEEE, 2025)