Hengrui Zhang

According to our database, Hengrui Zhang authored at least 55 papers between 2007 and 2024.

Collaborative distances:

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

2024

More accurate heatmap generation method for human pose estimation.

Yongfeng Qi, Hengrui Zhang, Jia Liu

Multim. Syst., August, 2024

Face forgery detection by progressively enhancing spatial and frequency-aware features.

Yongfeng Qi, Shengcong Wen, Hengrui Zhang, Anye Liang, Huili Chen, Panpan Cao

Multim. Syst., June, 2024

Composite Indicator for Detecting and Localizing Time-Varying RFI in SAR Raw Data.

Hengrui Zhang, Ning Li

IEEE Trans. Geosci. Remote. Sens., 2024

SGFormer: Single-Layer Graph Transformers with Approximation-Free Linear Complexity.

Qitian Wu, Kai Yang, Hengrui Zhang, David Wipf, Junchi Yan

CoRR, 2024

Do Graph Neural Networks Work for High Entropy Alloys?

Hengrui Zhang, Ruishu Huang, Jie Chen, James M. Rondinelli, Wei Chen

CoRR, 2024

Kraken: Inherently Parallel Transformers For Efficient Multi-Device Inference.

Rohan Baskar Prabhakar, Hengrui Zhang, David Wentzlaff

CoRR, 2024

Unleashing the Potential of Diffusion Models for Incomplete Data Imputation.

Hengrui Zhang, Liancheng Fang, Philip S. Yu

CoRR, 2024

Adaptive Catalyst Discovery Using Multicriteria Bayesian Optimization with Representation Learning.

Jie Chen, Pengfei Ou, Yuxin Chang, Hengrui Zhang, Xiao-Yan Li, Edward H. Sargent, Wei Chen

CoRR, 2024

Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks.

Qian Ma, Hongliang Chi, Hengrui Zhang, Kay Liu, Zhiwei Zhang, Lu Cheng, Suhang Wang, Philip S. Yu, Yao Ma

CoRR, 2024

Cyclic Neural Network.

Liangwei Yang, Hengrui Zhang, Zihe Song, Jiawei Zhang, Weizhi Zhang, Jing Ma, Philip S. Yu

CoRR, 2024

Adaptive module and accurate heatmap translator for multi-person human pose estimation.

Yongfeng Qi, Hengrui Zhang, Shengcong Wen, Anye Liang, Panpan Cao, Huili Chen

Comput. Graph., 2024

LLMCompass: Enabling Efficient Hardware Design for Large Language Model Inference.

Hengrui Zhang, August Ning, Rohan Baskar Prabhakar, David Wentzlaff

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space.

Hengrui Zhang, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Xiao Qin, Christos Faloutsos, Huzefa Rangwala, George Karypis

Proceedings of the Twelfth International Conference on Learning Representations, 2024

InfoMLP: Unlocking the Potential of MLPs for Semi-Supervised Learning with Structured Data.

Hengrui Zhang, Qitian Wu, Chenxiao Yang, Philip S. Yu

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

Revisit Orthogonality in Graph-Regularized MLPs.

Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu

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

Enhancing Off-Policy Constrained Reinforcement Learning through Adaptive Ensemble C Estimation.

Hengrui Zhang, Youfang Lin, Shuo Shen, Sheng Han, Kai Lv

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Lexicographic Actor-Critic Deep Reinforcement Learning for Urban Autonomous Driving.

Hengrui Zhang, Youfang Lin, Sheng Han, Kai Lv

IEEE Trans. Veh. Technol., April, 2023

A Modified 2-D Notch Filter Based on Image Segmentation for RFI Mitigation in Synthetic Aperture Radar.

Zewen Fu, Hengrui Zhang, Jianhui Zhao, Ning Li, Fengbin Zheng

Remote. Sens., February, 2023

The Application of SSC for RFI Suppression in SLC Images of Sentinel-1 IW Mode.

Yueli Sun, Hengrui Zhang, Bingxu Chen, Gaofeng Shu, Ning Li

IEEE Geosci. Remote. Sens. Lett., 2023

Exploring the adoption decisions of mobile health service users: a behavioral reasoning theory perspective.

Jung-Chieh Lee, Li Chen, Hengrui Zhang

Ind. Manag. Data Syst., 2023

Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models.

Kay Liu, Hengrui Zhang, Ziqing Hu, Fangxin Wang, Philip S. Yu

CoRR, 2023

MolSets: Molecular Graph Deep Sets Learning for Mixture Property Modeling.

Hengrui Zhang, Jie Chen, James M. Rondinelli, Wei Chen

CoRR, 2023

A Hardware Evaluation Framework for Large Language Model Inference.

Hengrui Zhang, August Ning, Rohan Baskar Prabhakar, David Wentzlaff

CoRR, 2023

OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization.

Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu

CoRR, 2023

CogDL: A Comprehensive Library for Graph Deep Learning.

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

Proceedings of the ACM Web Conference 2023, 2023

Simplifying and Empowering Transformers for Large-Graph Representations.

Qitian Wu, Wentao Zhao, Chenxiao Yang, Hengrui Zhang, Fan Nie, Haitian Jiang, Yatao Bian, Junchi Yan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

HyperGef: A Framework Enabling Efficient Fusion for Hypergraph Neural Network on GPUs.

Zhongming Yu, Guohao Dai, Shang Yang, Genghan Zhang, Hengrui Zhang, Feiwen Zhu, June Yang, Jishen Zhao, Yu Wang

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Prediction.

Xiaowei Mao, Haomin Wen, Hengrui Zhang, Huaiyu Wan, Lixia Wu, Jianbin Zheng, Haoyuan Hu, Youfang Lin

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

Exploiting Intent Evolution in E-commercial Query Recommendation.

Yu Wang, Zhengyang Wang, Hengrui Zhang, Qingyu Yin, Xianfeng Tang, Yinghan Wang, Danqing Zhang, Limeng Cui, Monica Xiao Cheng, Bing Yin, Suhang Wang, Philip S. Yu

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

2022

Simultaneous Screening and Detection of RFI From Massive SAR Images: A Case Study on European Sentinel-1.

Ning Li, Hengrui Zhang, Zongsen Lv, Lin Min, Zhengwei Guo

IEEE Trans. Geosci. Remote. Sens., 2022

An Improved RFI Mitigation Approach for SAR Based on Low-Rank Sparse Decomposition: From the Perspective of Useful Signal Protection.

Hengrui Zhang, Lin Min, Jing Lu, Jike Chang, Zhengwei Guo, Ning Li

Remote. Sens., 2022

Mobile Robot Path Planning Method Based on Deep Reinforcement Learning Algorithm.

Haitao Meng, Hengrui Zhang

J. Circuits Syst. Comput., 2022

Localized Contrastive Learning on Graphs.

Hengrui Zhang, Qitian Wu, Yu Wang, Shaofeng Zhang, Junchi Yan, Philip S. Yu

CoRR, 2022

ET-AL: Entropy-Targeted Active Learning for Bias Mitigation in Materials Data.

Hengrui Zhang, Wei Wayne Chen, James M. Rondinelli, Wei Chen

CoRR, 2022

Uncertainty-aware Mixed-variable Machine Learning for Materials Design.

Hengrui Zhang, Wei Wayne Chen, Akshay Iyer, Daniel W. Apley, Wei Chen

CoRR, 2022

Heuristic Adaptability to Input Dynamics for SpMM on GPUs.

Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang

CoRR, 2022

Towards Distribution Shift of Node-Level Prediction on Graphs: An Invariance Perspective.

Qitian Wu, Hengrui Zhang, Junchi Yan, David Wipf

CoRR, 2022

Conservative Distributional Reinforcement Learning with Safety Constraints.

Hengrui Zhang, Youfang Lin, Sheng Han, Shuo Wang, Kai Lv

CoRR, 2022

Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective.

Hengrui Zhang, Zhongming Yu, Guohao Dai, Guyue Huang, Yufei Ding, Yuan Xie, Yu Wang

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

M-Mix: Generating Hard Negatives via Multi-sample Mixing for Contrastive Learning.

Shaofeng Zhang, Meng Liu, Junchi Yan, Hengrui Zhang, Lingxiao Huang, Xiaokang Yang, Pinyan Lu

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

Handling Distribution Shifts on Graphs: An Invariance Perspective.

Qitian Wu, Hengrui Zhang, Junchi Yan, David Wipf

Proceedings of the Tenth International Conference on Learning Representations, 2022

Heuristic adaptability to input dynamics for SpMM on CPUs.

Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Align Representations with Base: A New Approach to Self-Supervised Learning.

Shaofeng Zhang, Lyn Qiu, Feng Zhu, Junchi Yan, Hengrui Zhang, Rui Zhao, Hongyang Li, Xiaokang Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation.

Yu Wang, Hengrui Zhang, Zhiwei Liu, Liangwei Yang, Philip S. Yu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Machine Learning for Electronic Design Automation: A Survey.

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

ACM Trans. Design Autom. Electr. Syst., 2021

From Canonical Correlation Analysis to Self-supervised Graph Neural Networks.

Hengrui Zhang, Qitian Wu, Junchi Yan, David Wipf, Philip S. Yu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Super Odometry: IMU-centric LiDAR-Visual-Inertial Estimator for Challenging Environments.

Shibo Zhao, Hengrui Zhang, Peng Wang, Lucas Nogueira, Sebastian A. Scherer

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

A Two-Step Approach for Pulse RFI Detection in SAR Data.

Zongsen Lv, Hengrui Zhang, Ning Li, Zhengwei Guo

Proceedings of the 2021 IEEE Sensors, Sydney, Australia, October 31 - Nov. 3, 2021, 2021

Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach.

Qitian Wu, Hengrui Zhang, Xiaofeng Gao, Junchi Yan, Hongyuan Zha

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Inductive Relational Matrix Completion.

Qitian Wu, Hengrui Zhang, Hongyuan Zha

CoRR, 2020

Stacked Mixed-Order Graph Convolutional Networks for Collaborative Filtering.

Hengrui Zhang, Julian J. McAuley

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

TP-TIO: A Robust Thermal-Inertial Odometry with Deep ThermalPoint.

Shibo Zhao, Peng Wang, Hengrui Zhang, Zheng Fang, Sebastian A. Scherer

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems.

Qitian Wu, Hengrui Zhang, Xiaofeng Gao, Peng He, Paul Weng, Han Gao, Guihai Chen

Proceedings of the World Wide Web Conference, 2019

2018

Adversarial Training Model Unifying Feature Driven and Point Process Perspectives for Event Popularity Prediction.

Qitian Wu, Chaoqi Yang, Hengrui Zhang, Xiaofeng Gao, Paul Weng, Guihai Chen

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2007

Extending Web Search for Online Plagiarism Detection.

Yi-Ting Liu, Hengrui Zhang, Tai-Wei Chen, Wei-Guang Teng

Proceedings of the IEEE International Conference on Information Reuse and Integration, 2007