Hengrui Zhang

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 59

Top Topics

Graph Representations

Pose Estimation

Diffusion Models

Data Imputation

Top Venues

Publications

Liangwei Yang, Hengrui Zhang, Zihe Song, Jiawei Zhang, Weizhi Zhang, Jing Ma, Philip S. Yu
Cyclic Neural Network. CoRR (2024)
Hengrui Zhang, Youfang Lin, Shuo Shen, Sheng Han, Kai Lv
Enhancing Off-Policy Constrained Reinforcement Learning through Adaptive Ensemble C Estimation. AAAI (2024)
Qian Ma, Hongliang Chi, Hengrui Zhang, Kay Liu, Zhiwei Zhang, Lu Cheng, Suhang Wang, Philip S. Yu, Yao Ma
Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks. CoRR (2024)
Yongfeng Qi, Hengrui Zhang, Shengcong Wen, Anye Liang, Panpan Cao, Huili Chen
Adaptive module and accurate heatmap translator for multi-person human pose estimation. Comput. Graph. 120 (2024)
Hengrui Zhang, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Xiao Qin, Christos Faloutsos, Huzefa Rangwala, George Karypis
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space. ICLR (2024)
Jie Chen, Pengfei Ou, Yuxin Chang, Hengrui Zhang, Xiao-Yan Li, Edward H. Sargent, Wei Chen
Adaptive Catalyst Discovery Using Multicriteria Bayesian Optimization with Representation Learning. CoRR (2024)
Hengrui Zhang, August Ning, Rohan Baskar Prabhakar, David Wentzlaff
LLMCompass: Enabling Efficient Hardware Design for Large Language Model Inference. ISCA (2024)
Yongfeng Qi, Shengcong Wen, Hengrui Zhang, Anye Liang, Huili Chen, Panpan Cao
Face forgery detection by progressively enhancing spatial and frequency-aware features. Multim. Syst. 30 (3) (2024)
Yongfeng Qi, Hengrui Zhang, Jia Liu
More accurate heatmap generation method for human pose estimation. Multim. Syst. 30 (4) (2024)
Hengrui Zhang, Ning Li
Composite Indicator for Detecting and Localizing Time-Varying RFI in SAR Raw Data. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Hengrui Zhang, Liancheng Fang, Philip S. Yu
Unleashing the Potential of Diffusion Models for Incomplete Data Imputation. CoRR (2024)
Yueli Sun, Hengrui Zhang, Bingxu Chen, Gaofeng Shu, Ning Li
The Application of SSC for RFI Suppression in SLC Images of Sentinel-1 IW Mode. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
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 (2023)
Qitian Wu, Wentao Zhao, Chenxiao Yang, Hengrui Zhang, Fan Nie, Haitian Jiang, Yatao Bian, Junchi Yan
Simplifying and Empowering Transformers for Large-Graph Representations. CoRR (2023)
Hengrui Zhang, Jiani Zhang, Balasubramaniam Srinivasan, Zhengyuan Shen, Xiao Qin, Christos Faloutsos, Huzefa Rangwala, George Karypis
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space. CoRR (2023)
Hengrui Zhang, August Ning, Rohan Prabhakar, David Wentzlaff
A Hardware Evaluation Framework for Large Language Model Inference. CoRR (2023)
Yu Wang, Zhengyang Wang, Hengrui Zhang, Qingyu Yin, Xianfeng Tang, Yinghan Wang, Danqing Zhang, Limeng Cui, Monica Cheng, Bing Yin, Suhang Wang, Philip S. Yu
Exploiting Intent Evolution in E-commercial Query Recommendation. KDD (2023)
Jung-Chieh Lee, Li Chen, Hengrui Zhang
Exploring the adoption decisions of mobile health service users: a behavioral reasoning theory perspective. Ind. Manag. Data Syst. 123 (8) (2023)
Xiaowei Mao, Haomin Wen, Hengrui Zhang, Huaiyu Wan, Lixia Wu, Jianbin Zheng, Haoyuan Hu, Youfang Lin
DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Prediction. CoRR (2023)
Hengrui Zhang, Jie Chen, James M. Rondinelli, Wei Chen
MolSets: Molecular Graph Deep Sets Learning for Mixture Property Modeling. CoRR (2023)
Zhongming Yu, Guohao Dai, Shang Yang, Genghan Zhang, Hengrui Zhang, Feiwen Zhu, June Yang, Jishen Zhao, Yu Wang
HyperGef: A Framework Enabling Efficient Fusion for Hypergraph Neural Network on GPUs. MLSys (2023)
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) (2023)
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)
Qitian Wu, Wentao Zhao, Chenxiao Yang, Hengrui Zhang, Fan Nie, Haitian Jiang, Yatao Bian, Junchi Yan
Simplifying and Empowering Transformers for Large-Graph Representations. NeurIPS (2023)
Hengrui Zhang, Youfang Lin, Sheng Han, Kai Lv
Lexicographic Actor-Critic Deep Reinforcement Learning for Urban Autonomous Driving. IEEE Trans. Veh. Technol. 72 (4) (2023)
Kay Liu, Hengrui Zhang, Ziqing Hu, Fangxin Wang, Philip S. Yu
Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models. CoRR (2023)
Xiaowei Mao, Haomin Wen, Hengrui Zhang, Huaiyu Wan, Lixia Wu, Jianbin Zheng, Haoyuan Hu, Youfang Lin
DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Prediction. KDD (2023)
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)
Yu Wang, Hengrui Zhang, Zhiwei Liu, Liangwei Yang, Philip S. Yu
ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation. CIKM (2022)
Haitao Meng, Hengrui Zhang
Mobile Robot Path Planning Method Based on Deep Reinforcement Learning Algorithm. J. Circuits Syst. Comput. 31 (15) (2022)
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)
Hengrui Zhang, Wei Wayne Chen, Akshay Iyer, Daniel W. Apley, Wei Chen
Uncertainty-aware Mixed-variable Machine Learning for Materials Design. CoRR (2022)
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)
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)
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 (2022)
Qitian Wu, Hengrui Zhang, Junchi Yan, David Wipf
Towards Distribution Shift of Node-Level Prediction on Graphs: An Invariance Perspective. CoRR (2022)
Qitian Wu, Hengrui Zhang, Junchi Yan, David Wipf
Handling Distribution Shifts on Graphs: An Invariance Perspective. ICLR (2022)
Yu Wang, Hengrui Zhang, Zhiwei Liu, Liangwei Yang, Philip S. Yu
ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation. CoRR (2022)
Hengrui Zhang, Youfang Lin, Sheng Han, Shuo Wang, Kai Lv
Conservative Distributional Reinforcement Learning with Safety Constraints. CoRR (2022)
Hengrui Zhang, Wei Wayne Chen, James M. Rondinelli, Wei Chen
ET-AL: Entropy-Targeted Active Learning for Bias Mitigation in Materials Data. CoRR (2022)
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 (2022)
Hengrui Zhang, Qitian Wu, Yu Wang, Shaofeng Zhang, Junchi Yan, Philip S. Yu
Localized Contrastive Learning on Graphs. CoRR (2022)
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) (2022)
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 (2021)
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) (2021)
Hengrui Zhang, Qitian Wu, Junchi Yan, David Wipf, Philip S. Yu
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks. NeurIPS (2021)
Shibo Zhao, Hengrui Zhang, Peng Wang, Lucas Nogueira, Sebastian A. Scherer
Super Odometry: IMU-centric LiDAR-Visual-Inertial Estimator for Challenging Environments. IROS (2021)
Zongsen Lv, Hengrui Zhang, Ning Li, Zhengwei Guo
A Two-Step Approach for Pulse RFI Detection in SAR Data. IEEE SENSORS (2021)
Qitian Wu, Hengrui Zhang, Xiaofeng Gao, Junchi Yan, Hongyuan Zha
Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach. ICML (2021)
Hengrui Zhang, Qitian Wu, Junchi Yan, David Wipf, Philip S. Yu
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks. CoRR (2021)
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 (2021)
Shibo Zhao, Hengrui Zhang, Peng Wang, Lucas Nogueira, Sebastian A. Scherer
Super Odometry: IMU-centric LiDAR-Visual-Inertial Estimator for Challenging Environments. CoRR (2021)
Shibo Zhao, Peng Wang, Hengrui Zhang, Zheng Fang, Sebastian A. Scherer
TP-TIO: A Robust Thermal-Inertial Odometry with Deep ThermalPoint. IROS (2020)
Hengrui Zhang, Julian J. McAuley
Stacked Mixed-Order Graph Convolutional Networks for Collaborative Filtering. SDM (2020)
Shibo Zhao, Peng Wang, Hengrui Zhang, Zheng Fang, Sebastian A. Scherer
TP-TIO: A Robust Thermal-Inertial Odometry with Deep ThermalPoint. CoRR (2020)
Qitian Wu, Hengrui Zhang, Hongyuan Zha
Inductive Relational Matrix Completion. CoRR (2020)
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 (2019)
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)
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)
Yi-Ting Liu, Hengrui Zhang, Tai-Wei Chen, Wei-Guang Teng
Extending Web Search for Online Plagiarism Detection. IRI (2007)