Hengrui Zhang

Orcid: 0000-0002-0989-5803

According to our database¹, Hengrui Zhang authored at least 58 papers between 2007 and 2024.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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Links

On csauthors.net:

Bibliography

2024

More accurate heatmap generation method for human pose estimation.

[BibT_eX]

[DOI]

Yongfeng Qi

Hengrui Zhang

Jia Liu

Multim. Syst., August, 2024

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

[BibT_eX]

[DOI]

Multim. Syst., June, 2024

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

[BibT_eX]

[DOI]

Hengrui Zhang

Ning Li

IEEE Trans. Geosci. Remote. Sens., 2024

Diffusion-nested Auto-Regressive Synthesis of Heterogeneous Tabular Data.

[BibT_eX]

[DOI]

CoRR, 2024

TabDiff: a Multi-Modal Diffusion Model for Tabular Data Generation.

[BibT_eX]

[DOI]

CoRR, 2024

Multi-Continental Healthcare Modelling Using Blockchain-Enabled Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Do Graph Neural Networks Work for High Entropy Alloys?

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Rohan Baskar Prabhakar

Hengrui Zhang

David Wentzlaff

CoRR, 2024

Unleashing the Potential of Diffusion Models for Incomplete Data Imputation.

[BibT_eX]

[DOI]

Hengrui Zhang

Liancheng Fang

Philip S. Yu

CoRR, 2024

Adaptive Catalyst Discovery Using Multicriteria Bayesian Optimization with Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Cyclic Neural Network.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Comput. Graph., 2024

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Hengrui Zhang

Jiani Zhang

Zhengyuan Shen

Balasubramaniam Srinivasan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

[BibT_eX]

[DOI]

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

Revisit Orthogonality in Graph-Regularized MLPs.

[BibT_eX]

[DOI]

Hengrui Zhang

Shen Wang

Vassilis N. Ioannidis

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

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

[BibT_eX]

[DOI]

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

2023

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

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., April, 2023

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

[BibT_eX]

[DOI]

Remote. Sens., February, 2023

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

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2023

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

[BibT_eX]

[DOI]

Jung-Chieh Lee

Li Chen

Hengrui Zhang

Ind. Manag. Data Syst., 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

A Hardware Evaluation Framework for Large Language Model Inference.

[BibT_eX]

[DOI]

Hengrui Zhang

August Ning

Rohan Baskar Prabhakar

David Wentzlaff

CoRR, 2023

OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization.

[BibT_eX]

[DOI]

Hengrui Zhang

Shen Wang

Vassilis N. Ioannidis

CoRR, 2023

CogDL: A Comprehensive Library for Graph Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Simplifying and Empowering Transformers for Large-Graph Representations.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Exploiting Intent Evolution in E-commercial Query Recommendation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Remote. Sens., 2022

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

[BibT_eX]

[DOI]

Haitao Meng

Hengrui Zhang

J. Circuits Syst. Comput., 2022

Localized Contrastive Learning on Graphs.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Heuristic Adaptability to Input Dynamics for SpMM on GPUs.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Conservative Distributional Reinforcement Learning with Safety Constraints.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Heuristic adaptability to input dynamics for SpMM on CPUs.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation.

[BibT_eX]

[DOI]

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

2021

Machine Learning for Electronic Design Automation: A Survey.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2020

Inductive Relational Matrix Completion.

[BibT_eX]

[DOI]

Qitian Wu

Hengrui Zhang

Hongyuan Zha

CoRR, 2020

Stacked Mixed-Order Graph Convolutional Networks for Collaborative Filtering.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

2018

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

[BibT_eX]

[DOI]

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

2007

Extending Web Search for Online Plagiarism Detection.

[BibT_eX]

[DOI]

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

Hengrui Zhang

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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