Le Zhang

According to our database, Le Zhang authored at least 38 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

University Evaluation Through Graduate Employment Prediction: An Influence Based Graph Autoencoder Approach.

Yuyang Ye, Hengshu Zhu, Tianyi Cui, Runlong Yu, Le Zhang, Hui Xiong

IEEE Trans. Knowl. Data Eng., November, 2024

Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph.

Rui Zha, Ying Sun, Chuan Qin, Le Zhang, Tong Xu, Hengshu Zhu, Enhong Chen

ACM Trans. Inf. Syst., July, 2024

RDGT: Enhancing Group Cognitive Diagnosis With Relation-Guided Dual-Side Graph Transformer.

Xiaoshan Yu, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu, Hui Xiong

IEEE Trans. Knowl. Data Eng., July, 2024

Career Mobility Analysis With Uncertainty-Aware Graph Autoencoders: A Job Title Transition Perspective.

Rui Zha, Chuan Qin, Le Zhang, Dazhong Shen, Tong Xu, Hengshu Zhu, Enhong Chen

IEEE Trans. Comput. Soc. Syst., February, 2024

Labor Migration Modeling through Large-scale Job Query Data.

Zhuoning Guo, Le Zhang, Hengshu Zhu, Weijia Zhang, Hui Xiong, Hao Liu

CoRR, 2024

Convergence-aware Clustered Federated Graph Learning Framework for Collaborative Inter-company Labor Market Forecasting.

Zhuoning Guo, Hao Liu, Le Zhang, Qi Zhang, Hengshu Zhu, Hui Xiong

CoRR, 2024

DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives.

Leilei Ding, Dazhong Shen, Chao Wang, Tianfu Wang, Le Zhang, Hui Xiong, Yanyong Zhang

CoRR, 2024

CrossLight: Offline-to-Online Reinforcement Learning for Cross-City Traffic Signal Control.

Qian Sun, Rui Zha, Le Zhang, Jingbo Zhou, Yu Mei, Zhiling Li, Hui Xiong

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Killing Two Birds with One Stone: Cross-modal Reinforced Prompting for Graph and Language Tasks.

Wenyuan Jiang, Wenwei Wu, Le Zhang, Zixuan Yuan, Jian Xiang, Jingbo Zhou, Hui Xiong

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks.

Weijia Zhang, Le Zhang, Jindong Han, Hao Liu, Yanjie Fu, Jingbo Zhou, Yu Mei, Hui Xiong

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives.

Leilei Ding, Dazhong Shen, Chao Wang, Tianfu Wang, Le Zhang, Yanyong Zhang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Scaling Up Multivariate Time Series Pre-Training with Decoupled Spatial-Temporal Representations.

Rui Zha, Le Zhang, Shuangli Li, Jingbo Zhou, Tong Xu, Hui Xiong, Enhong Chen

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Spatio-Temporal Sequence Modeling for Traffic Signal Control.

Qian Sun, Le Zhang, Jingbo Zhou, Rui Zha, Yu Mei, Chujie Tian, Hui Xiong

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network.

Weijia Zhang, Le Zhang, Jindong Han, Hao Liu, Jingbo Zhou, Yu Mei, Hui Xiong

CoRR, 2023

A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics.

Chuan Qin, Le Zhang, Rui Zha, Dazhong Shen, Qi Zhang, Ying Sun, Chen Zhu, Hengshu Zhu, Hui Xiong

CoRR, 2023

Hybrid Heterogeneous Graph Neural Networks for Fund Performance Prediction.

Siyuan Hao, Le Dai, Le Zhang, Shengming Zhang, Chao Wang, Chuan Qin, Hui Xiong

Proceedings of the Knowledge Science, Engineering and Management, 2023

Hierarchical Reinforcement Learning for Dynamic Autonomous Vehicle Navigation at Intelligent Intersections.

Qian Sun, Le Zhang, Huan Yu, Weijia Zhang, Yu Mei, Hui Xiong

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness.

Yunfei Zhang, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu

Proceedings of the IEEE International Conference on Data Mining, 2023

The Way to Success: A Multi-level Attentive Embedding Framework for Proposal Teamwork Analysis in Voting-Oriented System.

Rui Zha, Ding Zhou, Le Zhang, Tong Xu

Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

2022

Complex Attributed Network Embedding for medical complication prediction.

Zhe Zhang, Hui Xiong, Tong Xu, Chuan Qin, Le Zhang, Enhong Chen

Knowl. Inf. Syst., 2022

A hierarchical interactive multi-channel graph neural network for technological knowledge flow forecasting.

Huijie Liu, Han Wu, Le Zhang, Runlong Yu, Ye Liu, Chunli Liu, Minglei Li, Qi Liu, Enhong Chen

Knowl. Inf. Syst., 2022

Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning.

Zhuoning Guo, Hao Liu, Le Zhang, Qi Zhang, Hengshu Zhu, Hui Xiong

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Multi-Relational Graph Convolution Network for Stock Movement Prediction.

Zihao Zhou, Le Zhang, Rui Zha, Qiming Hao, Tong Xu, Di Wu, Enhong Chen

Proceedings of the International Joint Conference on Neural Networks, 2022

Multi-Graph Convolutional Recurrent Network for Fine-Grained Lane-Level Traffic Flow Imputation.

Jingci Ming, Le Zhang, Wei Fan, Weijia Zhang, Yu Mei, Weicen Ling, Hui Xiong

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Patent2Vec: Multi-view representation learning on patent-graphs for patent classification.

Lintao Fang, Le Zhang, Han Wu, Tong Xu, Ding Zhou, Enhong Chen

World Wide Web, 2021

Urban Crowd Density Prediction Based on Multi-relational Graph.

Qiming Hao, Le Zhang, Rui Zha, Ding Zhou, Zhe Zhang, Tong Xu, Enhong Chen

Proceedings of the 22nd IEEE International Conference on Mobile Data Management, 2021

Attentive Heterogeneous Graph Embedding for Job Mobility Prediction.

Le Zhang, Ding Zhou, Hengshu Zhu, Tong Xu, Rui Zha, Enhong Chen, Hui Xiong

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Ontological Concept Structure Aware Knowledge Transfer for Inductive Knowledge Graph Embedding.

Chao Ren, Le Zhang, Lintao Fang, Tong Xu, Zhefeng Wang, Senchao Yuan, Enhong Chen

Proceedings of the International Joint Conference on Neural Networks, 2021

Detecting Highlighted Video Clips Through Emotion-Enhanced Audio-Visual Cues.

Linkang Hu, Weidong He, Le Zhang, Tong Xu, Hui Xiong, Enhong Chen

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Technological Knowledge Flow Forecasting through A Hierarchical Interactive Graph Neural Network.

Huijie Liu, Han Wu, Le Zhang, Runlong Yu, Ye Liu, Chunli Liu, Qi Liu, Enhong Chen

Proceedings of the IEEE International Conference on Data Mining, 2021

Transportation Recommendation with Fairness Consideration.

Ding Zhou, Hao Liu, Tong Xu, Le Zhang, Rui Zha, Hui Xiong

Proceedings of the Database Systems for Advanced Applications, 2021

Knowledge Powered Cooperative Semantic Fusion for Patent Classification.

Zhe Zhang, Tong Xu, Le Zhang, Yichao Du, Hui Xiong, Enhong Chen

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

2020

Large-Scale Talent Flow Embedding for Company Competitive Analysis.

Le Zhang, Tong Xu, Hengshu Zhu, Chuan Qin, Qingxin Meng, Hui Xiong, Enhong Chen

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Author Contributed Representation for Scholarly Network.

Binglei Wang, Tong Xu, Hao Wang, Yanmin Chen, Le Zhang, Lintao Fang, Guiquan Liu, Enhong Chen

Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2019

Large-Scale Talent Flow Forecast with Dynamic Latent Factor Model?

Le Zhang, Hengshu Zhu, Tong Xu, Chen Zhu, Chuan Qin, Hui Xiong, Enhong Chen

Proceedings of the World Wide Web Conference, 2019

A Hierarchical Career-Path-Aware Neural Network for Job Mobility Prediction.

Qingxin Meng, Hengshu Zhu, Keli Xiao, Le Zhang, Hui Xiong

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Trend-Aware Tensor Factorization for Job Skill Demand Analysis.

Xunxian Wu, Tong Xu, Hengshu Zhu, Le Zhang, Enhong Chen, Hui Xiong

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2017

A Markov Chain Monte Carlo Approach for Source Detection in Networks.

Le Zhang, Tianyuan Jin, Tong Xu, Biao Chang, Zhefeng Wang, Enhong Chen

Proceedings of the Social Media Processing - 6th National Conference, 2017