Hengrui Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
14
Active years
2007–2025
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | TABGEN-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation. | Liancheng Fang, Aiwei Liu, Hengrui Zhang, Henry Peng Zou, Weizhi Zhang, Philip S. Yu |
| 2025 | EMNLP | PathwiseRAG: Multi-Dimensional Exploration and Integration Framework. | Hengrui Zhang, Pin-Siang Huang, Zhen Zhang, Peican Lin, Yao-Ching Yu, Bo Hu, Yulu Du |
| 2025 | ICLR | TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation. | Juntong Shi, Minkai Xu, Harper Hua, Hengrui Zhang, Stefano Ermon, Jure Leskovec |
| 2025 | ICLR | DiffPuter: Empowering Diffusion Models for Missing Data Imputation. | Hengrui Zhang, Liancheng Fang, Qitian Wu, Philip S. Yu |
| 2025 | ICML | TabNAT: A Continuous-Discrete Joint Generative Framework for Tabular Data. | Hengrui Zhang, Liancheng Fang, Qitian Wu, Philip S. Yu |
| 2025 | KDD | A Diffusion-Based Method for Learning the Multi-Outcome Distribution of Medical Treatments. | Yuchen Ma, Jonas Schweisthal, Hengrui Zhang, Stefan Feuerriegel |
| 2024 | AAAI | Enhancing Off-Policy Constrained Reinforcement Learning through Adaptive Ensemble C Estimation. | Hengrui Zhang, Youfang Lin, Shuo Shen, Sheng Han, Kai Lv |
| 2024 | CIKM | 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 |
| 2024 | CIKM | InfoMLP: Unlocking the Potential of MLPs for Semi-Supervised Learning with Structured Data. | Hengrui Zhang, Qitian Wu, Chenxiao Yang, Philip S. Yu |
| 2024 | ICLR | 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 |
| 2024 | ISCA | LLMCompass: Enabling Efficient Hardware Design for Large Language Model Inference. | Hengrui Zhang, August Ning, Rohan Baskar Prabhakar, David Wentzlaff |
| 2023 | KDD | 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 |
| 2023 | KDD | 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 |
| 2023 | WWW | 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 |
| 2022 | CIKM | ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation. | Yu Wang, Hengrui Zhang, Zhiwei Liu, Liangwei Yang, Philip S. Yu |
| 2022 | CVPR | 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 |
| 2022 | DAC | 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 |
| 2022 | ICLR | Handling Distribution Shifts on Graphs: An Invariance Perspective. | Qitian Wu, Hengrui Zhang, Junchi Yan, David Wipf |
| 2022 | KDD | 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 |
| 2021 | ICML | Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach. | Qitian Wu, Hengrui Zhang, Xiaofeng Gao, Junchi Yan, Hongyuan Zha |
| 2021 | IROS | Super Odometry: IMU-centric LiDAR-Visual-Inertial Estimator for Challenging Environments. | Shibo Zhao, Hengrui Zhang, Peng Wang, Lucas Nogueira, Sebastian A. Scherer |
| 2020 | IROS | TP-TIO: A Robust Thermal-Inertial Odometry with Deep ThermalPoint. | Shibo Zhao, Peng Wang, Hengrui Zhang, Zheng Fang, Sebastian A. Scherer |
| 2020 | SDM | Stacked Mixed-Order Graph Convolutional Networks for Collaborative Filtering. | Hengrui Zhang, Julian J. McAuley |
| 2019 | WWW | 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 |
| 2018 | CIKM | 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 |
| 2007 | IRI | Extending Web Search for Online Plagiarism Detection. | Yi-Ting Liu, Hengrui Zhang, Tai-Wei Chen, Wei-Guang Teng |