Zhang, Hengrui

20 publications

LoG 2025 Data Augmentation for Supervised Graph Outlier Detection via Latent Diffusion Models Kay Liu, Hengrui Zhang, Ziqing Hu, Fangxin Wang, Philip S. Yu

ICLR 2025 DiffPuter: Empowering Diffusion Models for Missing Data Imputation Hengrui Zhang, Liancheng Fang, Qitian Wu, Philip S. Yu

ICLRW 2025 RINTAW: A Robust Invisible Watermark for Tabular Generative Models Liancheng Fang, Aiwei Liu, Henry Peng Zou, Hengrui Zhang, Philip S. Yu

ICLR 2025 TabDiff: A Mixed-Type Diffusion Model for Tabular Data Generation Juntong Shi, Minkai Xu, Harper Hua, Hengrui Zhang, Stefano Ermon, Jure Leskovec

ICML 2025 TabNAT: A Continuous-Discrete Joint Generative Framework for Tabular Data Hengrui Zhang, Liancheng Fang, Qitian Wu, Philip S. Yu

NeurIPSW 2024 Beyond Directed Acyclic Computation Graph with Cyclic Neural Network Liangwei Yang, Hengrui Zhang, Weizhi Zhang, Zihe Song, Jing Ma, Jiawei Zhang, Philip S. Yu

AAAI 2024 Enhancing Off-Policy Constrained Reinforcement Learning Through Adaptive Ensemble C Estimation Hengrui Zhang, Youfang Lin, Shuo Shen, Sheng Han, Kai Lv

NeurIPS 2024 Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering Dongxiao He, Lianze Shan, Jitao Zhao, Hengrui Zhang, Zhen Wang, Weixiong Zhang

NeurIPSW 2024 Graph Representation of Local Environments for Learning High-Entropy Alloy Properties Hengrui Zhang, Ruishu Huang, Jie Chen, James Rondinelli, Wei Chen

NeurIPS 2024 Kraken: Inherently Parallel Transformers for Efficient Multi-Device Inference Rohan Baskar Prabhakar, Hengrui Zhang, David Wentzlaff

ICLR 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

NeurIPSW 2024 TABGEN-RAG: Iterative Retrieval for Tabular Data Generation with Large Language Models Liancheng Fang, Aiwei Liu, Hengrui Zhang, Henry Peng Zou, Weizhi Zhang, Philip S. Yu

NeurIPSW 2024 TabDiff: A Unified Diffusion Model for Multi-Modal Tabular Data Generation Juntong Shi, Minkai Xu, Harper Hua, Hengrui Zhang, Stefano Ermon, Jure Leskovec

NeurIPSW 2023 Automated Diffraction Pattern Analysis for Identifying Crystal Systems Using Multiview Opinion Fusion Machine Learning Jie Chen, Hengrui Zhang, Carolin B Wahl, Wei Liu, Chad Mirkin, Vinayak Dravid, Daniel W Apley, Wei Chen

NeurIPSW 2023 Mitigating Bias in Scientific Data: A Materials Science Case Study Hengrui Zhang, Wei Chen, James Rondinelli, Wei Chen

NeurIPS 2023 SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations Qitian Wu, Wentao Zhao, Chenxiao Yang, Hengrui Zhang, Fan Nie, Haitian Jiang, Yatao Bian, Junchi Yan

CVPR 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

ICLR 2022 Handling Distribution Shifts on Graphs: An Invariance Perspective Qitian Wu, Hengrui Zhang, Junchi Yan, David Wipf

NeurIPS 2021 From Canonical Correlation Analysis to Self-Supervised Graph Neural Networks Hengrui Zhang, Qitian Wu, Junchi Yan, David P. Wipf, Philip S Yu

ICML 2021 Towards Open-World Recommendation: An Inductive Model-Based Collaborative Filtering Approach Qitian Wu, Hengrui Zhang, Xiaofeng Gao, Junchi Yan, Hongyuan Zha