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ORCIDHengrui Zhang
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2020 – today
- 2023
[j6]Zewen Fu, Hengrui Zhang
, Jianhui Zhao, Ning Li, Fengbin Zheng:
A Modified 2-D Notch Filter Based on Image Segmentation for RFI Mitigation in Synthetic Aperture Radar. Remote. Sens. 15(3): 846 (2023)- [j5]Hengrui Zhang, Youfang Lin, Sheng Han, Kai Lv:
Lexicographic Actor-Critic Deep Reinforcement Learning for Urban Autonomous Driving. IEEE Trans. Veh. Technol. 72(4): 4308-4319 (2023) - [c16]Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Zhongming Yu, Hengrui Zhang, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Yuxiao Dong, Yang Yang, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang:
CogDL: A Comprehensive Library for Graph Deep Learning. WWW 2023: 747-758 - [i15]Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu:
OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization. CoRR abs/2302.00109 (2023) - 2022
- [j4]Haitao Meng, Hengrui Zhang:
Mobile Robot Path Planning Method Based on Deep Reinforcement Learning Algorithm. J. Circuits Syst. Comput. 31(15): 2250258:1-2250258:19 (2022) - [j3]Hengrui Zhang, Lin Min, Jing Lu, Jike Chang, Zhengwei Guo, Ning Li:
An Improved RFI Mitigation Approach for SAR Based on Low-Rank Sparse Decomposition: From the Perspective of Useful Signal Protection. Remote. Sens. 14(14): 3278 (2022) - [j2]Ning Li, Hengrui Zhang, Zongsen Lv, Lin Min, Zhengwei Guo:
Simultaneous Screening and Detection of RFI From Massive SAR Images: A Case Study on European Sentinel-1. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [c15]Yu Wang, Hengrui Zhang, Zhiwei Liu, Liangwei Yang, Philip S. Yu:
ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation. CIKM 2022: 2056-2066 - [c14]Shaofeng Zhang, Lyn Qiu, Feng Zhu, Junchi Yan, Hengrui Zhang, Rui Zhao, Hongyang Li, Xiaokang Yang:
Align Representations with Base: A New Approach to Self-Supervised Learning. CVPR 2022: 16579-16588 - [c13]Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang:
Heuristic adaptability to input dynamics for SpMM on CPUs. DAC 2022: 595-600 - [c12]Qitian Wu, Hengrui Zhang, Junchi Yan, David Wipf:
Handling Distribution Shifts on Graphs: An Invariance Perspective. ICLR 2022 - [c11]Shaofeng Zhang, Meng Liu, Junchi Yan, Hengrui Zhang, Lingxiao Huang, Xiaokang Yang, Pinyan Lu:
M-Mix: Generating Hard Negatives via Multi-sample Mixing for Contrastive Learning. KDD 2022: 2461-2470 - [c10]Hengrui Zhang, Zhongming Yu, Guohao Dai, Guyue Huang, Yufei Ding, Yuan Xie, Yu Wang:
Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective. MLSys 2022 - [i14]Hengrui Zhang, Youfang Lin, Sheng Han, Shuo Wang, Kai Lv:
Conservative Distributional Reinforcement Learning with Safety Constraints. CoRR abs/2201.07286 (2022) - [i13]Qitian Wu, Hengrui Zhang, Junchi Yan, David Wipf:
Towards Distribution Shift of Node-Level Prediction on Graphs: An Invariance Perspective. CoRR abs/2202.02466 (2022) - [i12]Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang:
Heuristic Adaptability to Input Dynamics for SpMM on GPUs. CoRR abs/2202.08556 (2022) - [i11]Hengrui Zhang, Wei Wayne Chen, Akshay Iyer, Daniel W. Apley, Wei Chen:
Uncertainty-aware Mixed-variable Machine Learning for Materials Design. CoRR abs/2207.04994 (2022) - [i10]Yu Wang, Hengrui Zhang, Zhiwei Liu, Liangwei Yang, Philip S. Yu:
ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation. CoRR abs/2209.00456 (2022) - [i9]Hengrui Zhang, Wei Wayne Chen, James M. Rondinelli, Wei Chen:
ET-AL: Entropy-Targeted Active Learning for Bias Mitigation in Materials Data. CoRR abs/2211.07881 (2022) - [i8]Hengrui Zhang, Qitian Wu, Yu Wang, Shaofeng Zhang, Junchi Yan, Philip S. Yu:
Localized Contrastive Learning on Graphs. CoRR abs/2212.04604 (2022) - 2021
- [j1]Guyue Huang, Jingbo Hu, Yifan He, Jialong Liu, Mingyuan Ma, Zhaoyang Shen, Juejian Wu, Yuanfan Xu, Hengrui Zhang, Kai Zhong, Xuefei Ning, Yuzhe Ma, Haoyu Yang, Bei Yu, Huazhong Yang, Yu Wang:
Machine Learning for Electronic Design Automation: A Survey. ACM Trans. Design Autom. Electr. Syst. 26(5): 40:1-40:46 (2021) - [c9]Qitian Wu, Hengrui Zhang, Xiaofeng Gao, Junchi Yan, Hongyuan Zha:
Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach. ICML 2021: 11329-11339 - [c8]Zongsen Lv, Hengrui Zhang, Ning Li, Zhengwei Guo:
A Two-Step Approach for Pulse RFI Detection in SAR Data. IEEE SENSORS 2021: 1-4 - [c7]Shibo Zhao, Hengrui Zhang, Peng Wang, Lucas Nogueira, Sebastian A. Scherer:
Super Odometry: IMU-centric LiDAR-Visual-Inertial Estimator for Challenging Environments. IROS 2021: 8729-8736 - [c6]Hengrui Zhang, Qitian Wu, Junchi Yan, David Wipf, Philip S. Yu:
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks. NeurIPS 2021: 76-89 - [i7]Guyue Huang, Jingbo Hu, Yifan He, Jialong Liu, Mingyuan Ma, Zhaoyang Shen, Juejian Wu, Yuanfan Xu, Hengrui Zhang, Kai Zhong, Xuefei Ning, Yuzhe Ma, Haoyu Yang, Bei Yu, Huazhong Yang, Yu Wang:
Machine Learning for Electronic Design Automation: A Survey. CoRR abs/2102.03357 (2021) - [i6]Shibo Zhao, Hengrui Zhang, Peng Wang, Lucas Nogueira, Sebastian A. Scherer:
Super Odometry: IMU-centric LiDAR-Visual-Inertial Estimator for Challenging Environments. CoRR abs/2104.14938 (2021) - [i5]Hengrui Zhang, Qitian Wu, Junchi Yan, David Wipf, Philip S. Yu:
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks. CoRR abs/2106.12484 (2021) - [i4]Hengrui Zhang, Zhongming Yu, Guohao Dai, Guyue Huang, Yufei Ding, Yuan Xie, Yu Wang:
Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective. CoRR abs/2110.09524 (2021) - 2020
- [c5]Shibo Zhao, Peng Wang, Hengrui Zhang, Zheng Fang, Sebastian A. Scherer:
TP-TIO: A Robust Thermal-Inertial Odometry with Deep ThermalPoint. IROS 2020: 4505-4512 - [c4]Hengrui Zhang, Julian J. McAuley:
Stacked Mixed-Order Graph Convolutional Networks for Collaborative Filtering. SDM 2020: 73-81 - [i3]Qitian Wu, Hengrui Zhang, Hongyuan Zha:
Inductive Relational Matrix Completion. CoRR abs/2007.04833 (2020) - [i2]Shibo Zhao, Peng Wang, Hengrui Zhang, Zheng Fang, Sebastian A. Scherer:
TP-TIO: A Robust Thermal-Inertial Odometry with Deep ThermalPoint. CoRR abs/2012.03455 (2020)
2010 – 2019
- 2019
- [c3]Qitian Wu, Hengrui Zhang, Xiaofeng Gao, Peng He, Paul Weng, Han Gao, Guihai Chen:
Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems. WWW 2019: 2091-2102 - [i1]Qitian Wu, Hengrui Zhang, Xiaofeng Gao, Peng He, Paul Weng, Han Gao, Guihai Chen:
Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems. CoRR abs/1903.10433 (2019) - 2018
- [c2]Qitian Wu, Chaoqi Yang, Hengrui Zhang, Xiaofeng Gao, Paul Weng, Guihai Chen:
Adversarial Training Model Unifying Feature Driven and Point Process Perspectives for Event Popularity Prediction. CIKM 2018: 517-526
2000 – 2009
- 2007
- [c1]Yi-Ting Liu, Hengrui Zhang, Tai-Wei Chen, Wei-Guang Teng:
Extending Web Search for Online Plagiarism Detection. IRI 2007: 164-169
Coauthor Index
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last updated on 2023-05-28 00:06 CEST by the dblp team
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