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ORCIDHengrui Zhang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j17]Yanghui Ou
, Hengrui Zhang, Austin Rovinski, David Wentzlaff, Christopher Batten:
Optically Connected Multi-Stack HBM Modules for Large Language Model Training and Inference. IEEE Comput. Archit. Lett. 24(1): 49-52 (2025)- [j16]Sheng Han, Hengrui Zhang, Hao Wu, Youfang Lin, Kai Lv:
Multi-constraint reinforcement learning in complex robot environments. Frontiers Comput. Sci. 19(8): 198353 (2025) - [j15]Hengrui Zhang, Ruishu Huang, Jie Chen, James M. Rondinelli, Wei Chen:
Graph representation of local environments for learning high-entropy alloy properties. Mach. Learn. Sci. Technol. 6(2): 25005 (2025) - [j14]Hengrui Zhang, Youfang Lin, Sheng Han, Shuo Wang, Kai Lv:
Off-Policy Conservative Distributional Reinforcement Learning With Safety Constraints. IEEE Trans. Syst. Man Cybern. Syst. 55(3): 2033-2045 (2025) - [j13]Hengrui Zhang, Yongfeng Qi, Huili Chen, Panpan Cao, Anye Liang, Shengcong Wen:
LSDNet: lightweight stochastic depth network for human pose estimation. Vis. Comput. 41(1): 257-270 (2025) - [c30]Juntong Shi, Minkai Xu, Harper Hua, Hengrui Zhang, Stefano Ermon, Jure Leskovec:
TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation. ICLR 2025 - [c29]Hengrui Zhang, Liancheng Fang, Qitian Wu, Philip S. Yu:
DiffPuter: Empowering Diffusion Models for Missing Data Imputation. ICLR 2025 - [i34]Jiani Zhang, Hengrui Zhang, Rishav Chakravarti, Yiqun Hu, Patrick Ng, Asterios Katsifodimos, Huzefa Rangwala, George Karypis, Alon Y. Halevy:
CoddLLM: Empowering Large Language Models for Data Analytics. CoRR abs/2502.00329 (2025) - [i33]Liancheng Fang, Aiwei Liu, Hengrui Zhang, Henry Peng Zou, Weizhi Zhang, Philip S. Yu:
TabGen-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation. CoRR abs/2502.16414 (2025) - 2024
- [j12]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: 103926 (2024) - [j11]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): 156 (2024) - [j10]Yongfeng Qi, Hengrui Zhang, Jia Liu:
More accurate heatmap generation method for human pose estimation. Multim. Syst. 30(4): 180 (2024) - [j9]Hengrui Zhang, Ning Li:
Composite Indicator for Detecting and Localizing Time-Varying RFI in SAR Raw Data. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [c28]Hengrui Zhang, Youfang Lin, Shuo Shen, Sheng Han, Kai Lv:
Enhancing Off-Policy Constrained Reinforcement Learning through Adaptive Ensemble C Estimation. AAAI 2024: 21770-21778 - [c27]Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu:
Revisit Orthogonality in Graph-Regularized MLPs. CIKM 2024: 3145-3154 - [c26]Hengrui Zhang, Qitian Wu, Chenxiao Yang, Philip S. Yu:
InfoMLP: Unlocking the Potential of MLPs for Semi-Supervised Learning with Structured Data. CIKM 2024: 3155-3164 - [c25]Dawei Li, Chengyu Wen, Hengrui Zhang, Jiapeng Huang:
Research on the Prevention and Control of Low-Slow-Small Aircraft in Key Locations. ICBAR 2024: 1141-1145 - [c24]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 - [c23]Hengrui Zhang, August Ning, Rohan Baskar Prabhakar, David Wentzlaff:
LLMCompass: Enabling Efficient Hardware Design for Large Language Model Inference. ISCA 2024: 1080-1096 - [c22]Dongxiao He, Lianze Shan, Jitao Zhao, Hengrui Zhang, Zhen Wang, Weixiong Zhang:
Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering. NeurIPS 2024 - [c21]Rohan Baskar Prabhakar, Hengrui Zhang, David Wentzlaff:
Kraken: Inherently Parallel Transformers For Efficient Multi-Device Inference. NeurIPS 2024 - [i32]Liangwei Yang, Hengrui Zhang, Zihe Song, Jiawei Zhang, Weizhi Zhang, Jing Ma, Philip S. Yu:
Cyclic Neural Network. CoRR abs/2402.03332 (2024) - [i31]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 abs/2402.15680 (2024) - [i30]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 abs/2404.12445 (2024) - [i29]Hengrui Zhang, Liancheng Fang, Philip S. Yu:
Unleashing the Potential of Diffusion Models for Incomplete Data Imputation. CoRR abs/2405.20690 (2024) - [i28]Rohan Baskar Prabhakar, Hengrui Zhang, David Wentzlaff:
Kraken: Inherently Parallel Transformers For Efficient Multi-Device Inference. CoRR abs/2408.07802 (2024) - [i27]Hengrui Zhang, Ruishu Huang, Jie Chen, James M. Rondinelli, Wei Chen:
Do Graph Neural Networks Work for High Entropy Alloys? CoRR abs/2408.16337 (2024) - [i26]Qitian Wu, Kai Yang, Hengrui Zhang, David Wipf, Junchi Yan:
SGFormer: Single-Layer Graph Transformers with Approximation-Free Linear Complexity. CoRR abs/2409.09007 (2024) - [i25]Rui Sun, Zhipeng Wang, Hengrui Zhang, Ming Jiang, Yizhe Wen, Jiqun Zhang, Jiahao Sun, Shuoying Zhang, Erwu Liu, Kezhi Li:
Multi-Continental Healthcare Modelling Using Blockchain-Enabled Federated Learning. CoRR abs/2410.17933 (2024) - [i24]Juntong Shi, Minkai Xu, Harper Hua, Hengrui Zhang, Stefano Ermon, Jure Leskovec:
TabDiff: a Multi-Modal Diffusion Model for Tabular Data Generation. CoRR abs/2410.20626 (2024) - [i23]Hengrui Zhang, Liancheng Fang, Qitian Wu, Philip S. Yu:
Diffusion-nested Auto-Regressive Synthesis of Heterogeneous Tabular Data. CoRR abs/2410.21523 (2024) - [i22]Hengrui Zhang, Alexandru B. Georgescu, Suraj Yerramilli, Christopher Karpovich, Daniel W. Apley, Elsa A. Olivetti, James M. Rondinelli, Wei Chen:
Emerging Microelectronic Materials by Design: Navigating Combinatorial Design Space with Scarce and Dispersed Data. CoRR abs/2412.17283 (2024) - 2023
- [j8]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): 2241-2266 (2023) - [j7]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: 1-5 (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) - [c20]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: 4628-4637 - [c19]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:
Exploiting Intent Evolution in E-commercial Query Recommendation. KDD 2023: 5162-5173 - [c18]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 - [c17]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 - [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 - [i21]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) - [i20]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 abs/2306.10759 (2023) - [i19]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 abs/2307.16246 (2023) - [i18]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 abs/2310.09656 (2023) - [i17]Hengrui Zhang, August Ning, Rohan Baskar Prabhakar, David Wentzlaff:
A Hardware Evaluation Framework for Large Language Model Inference. CoRR abs/2312.03134 (2023) - [i16]Hengrui Zhang, Jie Chen, James M. Rondinelli, Wei Chen:
MolSets: Molecular Graph Deep Sets Learning for Mixture Property Modeling. CoRR abs/2312.16473 (2023) - [i15]Kay Liu, Hengrui Zhang, Ziqing Hu, Fangxin Wang, Philip S. Yu:
Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models. CoRR abs/2312.17679 (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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