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ORCIDLe Zhang 0010
Person information
- affiliation: Baidu Inc., China
- affiliation (former): University of Science and Technology of China, Hefei, China
Other persons with the same name
- Le Zhang — disambiguation page
- Le Zhang 0001
![[0000-0002-6930-8674]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6930-8674")
— University of Electronic Science and Technology of China, UESTC, School of Information and Communication Engineering, Chengdu, China (and 3 more) - Le Zhang 0002 — Raytheon BBN Technologies, Cambridge, MA, USA
- Le Zhang 0003 — Xi'an Jiaotong University, State Key Laboratory of Electrical Insualtion and Power Equipment, China (and 1 more)
- Le Zhang 0004 — Sichuan University, College of Computer Science, Chengdu, China (and 1 more)
- Le Zhang 0005 — University College London, London, UK (and 1 more)
- Le Zhang 0006 — Iowa State University, Department of Electrical and Computer Engineering, Ames, IA, USA
- Le Zhang 0007 — Shenyang University, School of Information Engineering, China
- Le Zhang 0008 — Xi'an Jiaotong University, School of Aerospace, China
- Le Zhang 0011 — Xi'an Jiaotong University, School of Mechanical Engineering, China
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2020 – today
- 2024
[j7]Rui Zha, Chuan Qin, Le Zhang, Dazhong Shen, Tong Xu, Hengshu Zhu, Enhong Chen:
Career Mobility Analysis With Uncertainty-Aware Graph Autoencoders: A Job Title Transition Perspective. IEEE Trans. Comput. Soc. Syst. 11(1): 1205-1215 (2024)- [j6]Xiaoshan Yu, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu, Hui Xiong:
RDGT: Enhancing Group Cognitive Diagnosis With Relation-Guided Dual-Side Graph Transformer. IEEE Trans. Knowl. Data Eng. 36(7): 3429-3442 (2024) - [j5]Yuyang Ye, Hengshu Zhu, Tianyi Cui, Runlong Yu, Le Zhang, Hui Xiong:
University Evaluation Through Graduate Employment Prediction: An Influence Based Graph Autoencoder Approach. IEEE Trans. Knowl. Data Eng. 36(11): 7255-7267 (2024) - [j4]Rui Zha, Ying Sun, Chuan Qin, Le Zhang, Tong Xu, Hengshu Zhu, Enhong Chen:
Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph. ACM Trans. Inf. Syst. 42(4): 110:1-110:28 (2024) - [c26]Qian Sun, Le Zhang, Jingbo Zhou, Rui Zha, Yu Mei, Chujie Tian, Hui Xiong:
Spatio-Temporal Sequence Modeling for Traffic Signal Control. CIKM 2024: 4076-4080 - [c25]Rui Zha, Le Zhang, Shuangli Li, Jingbo Zhou, Tong Xu, Hui Xiong, Enhong Chen:
Scaling Up Multivariate Time Series Pre-Training with Decoupled Spatial-Temporal Representations. ICDE 2024: 667-678 - [c24]Leilei Ding, Dazhong Shen, Chao Wang, Tianfu Wang, Le Zhang, Yanyong Zhang:
DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives. IJCAI 2024: 2027-2035 - [c23]Wenyuan Jiang, Wenwei Wu, Le Zhang, Zixuan Yuan, Jian Xiang, Jingbo Zhou, Hui Xiong:
Killing Two Birds with One Stone: Cross-modal Reinforced Prompting for Graph and Language Tasks. KDD 2024: 1301-1312 - [c22]Qian Sun, Rui Zha, Le Zhang, Jingbo Zhou, Yu Mei, Zhiling Li, Hui Xiong:
CrossLight: Offline-to-Online Reinforcement Learning for Cross-City Traffic Signal Control. KDD 2024: 2765-2774 - [c21]Weijia Zhang, Le Zhang, Jindong Han, Hao Liu, Yanjie Fu, Jingbo Zhou, Yu Mei, Hui Xiong:
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks. KDD 2024: 4302-4313 - [i6]Yunfei Zhang, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu:
ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness. CoRR abs/2401.10749 (2024) - [i5]Leilei Ding, Dazhong Shen, Chao Wang, Tianfu Wang, Le Zhang, Hui Xiong, Yanyong Zhang:
DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives. CoRR abs/2403.04287 (2024) - [i4]Zhuoning Guo, Hao Liu, Le Zhang, Qi Zhang, Hengshu Zhu, Hui Xiong:
Convergence-aware Clustered Federated Graph Learning Framework for Collaborative Inter-company Labor Market Forecasting. CoRR abs/2409.19545 (2024) - [i3]Zhuoning Guo, Le Zhang, Hengshu Zhu, Weijia Zhang, Hui Xiong, Hao Liu:
Labor Migration Modeling through Large-scale Job Query Data. CoRR abs/2410.02639 (2024) - 2023
- [c20]Rui Zha, Ding Zhou, Le Zhang, Tong Xu:
The Way to Success: A Multi-level Attentive Embedding Framework for Proposal Teamwork Analysis in Voting-Oriented System. APWeb-WAIM (1) 2023: 315-330 - [c19]Yunfei Zhang, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu:
ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness. ICDM 2023: 858-867 - [c18]Qian Sun, Le Zhang, Huan Yu, Weijia Zhang, Yu Mei, Hui Xiong:
Hierarchical Reinforcement Learning for Dynamic Autonomous Vehicle Navigation at Intelligent Intersections. KDD 2023: 4852-4861 - [c17]Siyuan Hao, Le Dai, Le Zhang, Shengming Zhang, Chao Wang, Chuan Qin, Hui Xiong:
Hybrid Heterogeneous Graph Neural Networks for Fund Performance Prediction. KSEM (2) 2023: 301-317 - [i2]Chuan Qin, Le Zhang, Rui Zha, Dazhong Shen, Qi Zhang, Ying Sun, Chen Zhu, Hengshu Zhu, Hui Xiong:
A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics. CoRR abs/2307.03195 (2023) - [i1]Weijia Zhang, Le Zhang, Jindong Han, Hao Liu, Jingbo Zhou, Yu Mei, Hui Xiong:
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network. CoRR abs/2308.16818 (2023) - 2022
- [j3]Huijie Liu, Han Wu, Le Zhang, Runlong Yu, Ye Liu, Chunli Liu, Minglei Li, Qi Liu, Enhong Chen:
A hierarchical interactive multi-channel graph neural network for technological knowledge flow forecasting. Knowl. Inf. Syst. 64(7): 1723-1757 (2022) - [j2]Zhe Zhang, Hui Xiong, Tong Xu, Chuan Qin, Le Zhang, Enhong Chen:
Complex Attributed Network Embedding for medical complication prediction. Knowl. Inf. Syst. 64(9): 2435-2456 (2022) - [c16]Jingci Ming, Le Zhang, Wei Fan, Weijia Zhang, Yu Mei, Weicen Ling, Hui Xiong:
Multi-Graph Convolutional Recurrent Network for Fine-Grained Lane-Level Traffic Flow Imputation. ICDM 2022: 348-357 - [c15]Zihao Zhou, Le Zhang, Rui Zha, Qiming Hao, Tong Xu, Di Wu, Enhong Chen:
Multi-Relational Graph Convolution Network for Stock Movement Prediction. IJCNN 2022: 1-8 - [c14]Zhuoning Guo, Hao Liu, Le Zhang, Qi Zhang, Hengshu Zhu, Hui Xiong:
Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning. KDD 2022: 2957-2967 - 2021
- [j1]Lintao Fang, Le Zhang, Han Wu, Tong Xu, Ding Zhou, Enhong Chen:
Patent2Vec: Multi-view representation learning on patent-graphs for patent classification. World Wide Web 24(5): 1791-1812 (2021) - [c13]Zhe Zhang, Tong Xu, Le Zhang, Yichao Du, Hui Xiong, Enhong Chen:
Knowledge Powered Cooperative Semantic Fusion for Patent Classification. CICAI 2021: 111-122 - [c12]Ding Zhou, Hao Liu, Tong Xu, Le Zhang, Rui Zha, Hui Xiong:
Transportation Recommendation with Fairness Consideration. DASFAA (3) 2021: 566-578 - [c11]Huijie Liu, Han Wu, Le Zhang, Runlong Yu, Ye Liu, Chunli Liu, Qi Liu, Enhong Chen:
Technological Knowledge Flow Forecasting through A Hierarchical Interactive Graph Neural Network. ICDM 2021: 389-398 - [c10]Linkang Hu, Weidong He, Le Zhang, Tong Xu, Hui Xiong, Enhong Chen:
Detecting Highlighted Video Clips Through Emotion-Enhanced Audio-Visual Cues. ICME 2021: 1-6 - [c9]Chao Ren, Le Zhang, Lintao Fang, Tong Xu, Zhefeng Wang, Senchao Yuan, Enhong Chen:
Ontological Concept Structure Aware Knowledge Transfer for Inductive Knowledge Graph Embedding. IJCNN 2021: 1-8 - [c8]Le Zhang, Ding Zhou, Hengshu Zhu, Tong Xu, Rui Zha, Enhong Chen, Hui Xiong:
Attentive Heterogeneous Graph Embedding for Job Mobility Prediction. KDD 2021: 2192-2201 - [c7]Qiming Hao, Le Zhang, Rui Zha, Ding Zhou, Zhe Zhang, Tong Xu, Enhong Chen:
Urban Crowd Density Prediction Based on Multi-relational Graph. MDM 2021: 39-48 - 2020
- [c6]Binglei Wang, Tong Xu, Hao Wang, Yanmin Chen, Le Zhang, Lintao Fang, Guiquan Liu, Enhong Chen:
Author Contributed Representation for Scholarly Network. APWeb/WAIM (1) 2020: 558-573 - [c5]Le Zhang, Tong Xu, Hengshu Zhu, Chuan Qin, Qingxin Meng, Hui Xiong, Enhong Chen:
Large-Scale Talent Flow Embedding for Company Competitive Analysis. WWW 2020: 2354-2364
2010 – 2019
- 2019
- [c4]Xunxian Wu, Tong Xu, Hengshu Zhu, Le Zhang, Enhong Chen, Hui Xiong:
Trend-Aware Tensor Factorization for Job Skill Demand Analysis. IJCAI 2019: 3891-3897 - [c3]Qingxin Meng, Hengshu Zhu, Keli Xiao, Le Zhang, Hui Xiong:
A Hierarchical Career-Path-Aware Neural Network for Job Mobility Prediction. KDD 2019: 14-24 - [c2]Le Zhang, Hengshu Zhu, Tong Xu, Chen Zhu, Chuan Qin, Hui Xiong, Enhong Chen:
Large-Scale Talent Flow Forecast with Dynamic Latent Factor Model? WWW 2019: 2312-2322 - 2017
- [c1]Le Zhang, Tianyuan Jin, Tong Xu, Biao Chang, Zhefeng Wang, Enhong Chen:
A Markov Chain Monte Carlo Approach for Source Detection in Networks. SMP 2017: 77-88
Coauthor Index
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last updated on 2024-12-26 01:51 CET by the dblp team
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