Hengrui Zhang - RankMe

102 papers A* 20A 8Misc 1Journal 66Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	M3FNet: mamba and multi-head-attention based multi-sequence fusion network for classifying urodynamic-related urinary disorders. Biomed. Signal Process. Control. Zicong Ge, Mingcui Fu, Xu Cao, Liangfeng Tang, Hengrui Zhang, Haixuan Sun, Gang Yuan, Jian Zheng
2026	J	`jnl`	On the Convergence of Stochastic Gradient Descent with Perturbed Forward-Backward Passes. CoRR Boao Kong, Hengrui Zhang, Kun Yuan
2026	J	`jnl`	RCLG-PPIS: Structure-Aware Protein-Protein Interaction Site Prediction with Cascaded Local and Global Information. J. Chem. Inf. Model. Jing Chen, Xiaobo Ge, Qiuyao Qi, Hengrui Zhang, Tingbin Luo
2026	J	`jnl`	Rethinking Token-Level Policy Optimization for Multimodal Chain-of-Thought. CoRR Yunheng Li, Hangyi Kuang, Hengrui Zhang, Jiangxia Cao, Zhaojie Liu, Qibin Hou, Ming-Ming Cheng
2026	J	`jnl`	Towards Universal Video MLLMs with Attribute-Structured and Quality-Verified Instructions. CoRR Yunheng Li, Hengrui Zhang, Meng-Hao Guo, Wenzhao Gao, Shaoyong Jia, Shaohui Jiao, Qibin Hou, Ming-Ming Cheng
2025	—	`conf`	A Diffusion-Based Method for Learning the Multi-Outcome Distribution of Medical Treatments. KDD (2) Yuchen Ma, Jonas Schweisthal, Hengrui Zhang, Stefan Feuerriegel
2025	J	`jnl`	A Diffusion-Based Method for Learning the Multi-Outcome Distribution of Medical Treatments. CoRR Yuchen Ma, Jonas Schweisthal, Hengrui Zhang, Stefan Feuerriegel
2025	J	`jnl`	CoddLLM: Empowering Large Language Models for Data Analytics. CoRR Jiani Zhang, Hengrui Zhang, Rishav Chakravarti, Yiqun Hu, Patrick Ng, Asterios Katsifodimos, Huzefa Rangwala, George Karypis, Alon Y. Halevy
2025	J	`jnl`	Dark Channel Difference Driven Dehazed Image Quality Assessment With Progressive Injection. IEEE Trans. Consumer Electron. Bo Hu, Zhen Zhang, Hengrui Zhang, Leida Li, Lihuo He, Xinbo Gao
2025	A*	`conf`	DiffPuter: Empowering Diffusion Models for Missing Data Imputation. ICLR Hengrui Zhang, Liancheng Fang, Qitian Wu, Philip S. Yu
2025	J	`jnl`	Diffusion policy distillation for offline reinforcement learning. Neural Networks Jiazhi Zhang, Yuhu Cheng, C. L. Philip Chen, Hengrui Zhang, Xuesong Wang
2025	A	`conf`	Enhancing Offline Safe Reinforcement Learning with Trajectory-Constrained Diffusion Planning. AAMAS Hengrui Zhang, Youfang Lin, Shuo Shen, Hanfeng Lin, Peng Cheng, Sheng Han, Kai Lv
2025	J	`jnl`	Graph representation of local environments for learning high-entropy alloy properties. Mach. Learn. Sci. Technol. Hengrui Zhang, Ruishu Huang, Jie Chen, James M. Rondinelli, Wei Chen
2025	J	`jnl`	LSDNet: lightweight stochastic depth network for human pose estimation. Vis. Comput. Hengrui Zhang, Yongfeng Qi, Huili Chen, Panpan Cao, Anye Liang, Shengcong Wen
2025	J	`jnl`	MUSE: Model-Agnostic Tabular Watermarking via Multi-Sample Selection. CoRR Liancheng Fang, Aiwei Liu, Henry Peng Zou, Yankai Chen, Hengrui Zhang, Zhongfen Deng, Philip S. Yu
2025	J	`jnl`	Multi-constraint reinforcement learning in complex robot environments. Frontiers Comput. Sci. Sheng Han, Hengrui Zhang, Hao Wu, Youfang Lin, Kai Lv
2025	J	`jnl`	Off-Policy Conservative Distributional Reinforcement Learning With Safety Constraints. IEEE Trans. Syst. Man Cybern. Syst. Hengrui Zhang, Youfang Lin, Sheng Han, Shuo Wang, Kai Lv
2025	J	`jnl`	Optically Connected Multi-Stack HBM Modules for Large Language Model Training and Inference. IEEE Comput. Archit. Lett. Yanghui Ou, Hengrui Zhang, Austin Rovinski, David Wentzlaff, Christopher Batten
2025	J	`jnl`	Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks. SIGKDD Explor. Qian Ma, Hongliang Chi, Hengrui Zhang, Kay Liu, Zhiwei Zhang, Lu Cheng, Suhang Wang, Philip S. Yu, Yao Ma
2025	J	`jnl`	PCDT: Pessimistic Critic Decision Transformer for Offline Reinforcement Learning. IEEE Trans. Syst. Man Cybern. Syst. Xuesong Wang, Hengrui Zhang, Jiazhi Zhang, C. L. Philip Chen, Yuhu Cheng
2025	A*	`conf`	PathwiseRAG: Multi-Dimensional Exploration and Integration Framework. EMNLP Hengrui Zhang, Pin-Siang Huang, Zhen Zhang, Peican Lin, Yao-Ching Yu, Bo Hu, Yulu Du
2025	J	`jnl`	ROAD: Responsibility-Oriented Reward Design for Reinforcement Learning in Autonomous Driving. CoRR Yongming Chen, Miner Chen, Liewen Liao, Mingyang Jiang, Xiang Zuo, Hengrui Zhang, Yuchen Xi, Songan Zhang
2025	J	`jnl`	SPAD: Specialized Prefill and Decode Hardware for Disaggregated LLM Inference. CoRR Hengrui Zhang, Pratyush Patel, August Ning, David Wentzlaff
2025	J	`jnl`	ScaleDoc: Scaling LLM-based Predicates over Large Document Collections. CoRR Hengrui Zhang, Yulong Hui, Yihao Liu, Huanchen Zhang
2025	—	`conf`	TABGEN-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation. ACL (Findings) Liancheng Fang, Aiwei Liu, Hengrui Zhang, Henry Peng Zou, Weizhi Zhang, Philip S. Yu
2025	A*	`conf`	TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation. ICLR Juntong Shi, Minkai Xu, Harper Hua, Hengrui Zhang, Stefano Ermon, Jure Leskovec
2025	J	`jnl`	TabGen-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation. CoRR Liancheng Fang, Aiwei Liu, Hengrui Zhang, Henry Peng Zou, Weizhi Zhang, Philip S. Yu
2025	A*	`conf`	TabNAT: A Continuous-Discrete Joint Generative Framework for Tabular Data. ICML Hengrui Zhang, Liancheng Fang, Qitian Wu, Philip S. Yu
2025	J	`jnl`	Visual Reinforcement Learning Based on Multiview Optimization Aggregation. IEEE Trans. Cogn. Dev. Syst. Xuesong Wang, Ruyi Lu, Hengrui Zhang, Yuhu Cheng
2024	J	`jnl`	Adaptive Catalyst Discovery Using Multicriteria Bayesian Optimization with Representation Learning. CoRR Jie Chen, Pengfei Ou, Yuxin Chang, Hengrui Zhang, Xiao-Yan Li, Edward H. Sargent, Wei Chen
2024	J	`jnl`	Adaptive module and accurate heatmap translator for multi-person human pose estimation. Comput. Graph. Yongfeng Qi, Hengrui Zhang, Shengcong Wen, Anye Liang, Panpan Cao, Huili Chen
2024	J	`jnl`	Composite Indicator for Detecting and Localizing Time-Varying RFI in SAR Raw Data. IEEE Trans. Geosci. Remote. Sens. Hengrui Zhang, Ning Li
2024	J	`jnl`	Cyclic Neural Network. CoRR Liangwei Yang, Hengrui Zhang, Zihe Song, Jiawei Zhang, Weizhi Zhang, Jing Ma, Philip S. Yu
2024	—	`conf`	Data Augmentation for Supervised Graph Outlier Detection via Latent Diffusion Models. LoG Kay Liu, Hengrui Zhang, Ziqing Hu, Fangxin Wang, Philip S. Yu
2024	J	`jnl`	Diffusion-nested Auto-Regressive Synthesis of Heterogeneous Tabular Data. CoRR Hengrui Zhang, Liancheng Fang, Qitian Wu, Philip S. Yu
2024	J	`jnl`	Do Graph Neural Networks Work for High Entropy Alloys? CoRR Hengrui Zhang, Ruishu Huang, Jie Chen, James M. Rondinelli, Wei Chen
2024	J	`jnl`	Emerging Microelectronic Materials by Design: Navigating Combinatorial Design Space with Scarce and Dispersed Data. CoRR Hengrui Zhang, Alexandru B. Georgescu, Suraj Yerramilli, Christopher Karpovich, Daniel W. Apley, Elsa A. Olivetti, James M. Rondinelli, Wei Chen
2024	A*	`conf`	Enhancing Off-Policy Constrained Reinforcement Learning through Adaptive Ensemble C Estimation. AAAI Hengrui Zhang, Youfang Lin, Shuo Shen, Sheng Han, Kai Lv
2024	A*	`conf`	Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering. NeurIPS Dongxiao He, Lianze Shan, Jitao Zhao, Hengrui Zhang, Zhen Wang, Weixiong Zhang
2024	J	`jnl`	Face forgery detection by progressively enhancing spatial and frequency-aware features. Multim. Syst. Yongfeng Qi, Shengcong Wen, Hengrui Zhang, Anye Liang, Huili Chen, Panpan Cao
2024	A	`conf`	InfoMLP: Unlocking the Potential of MLPs for Semi-Supervised Learning with Structured Data. CIKM Hengrui Zhang, Qitian Wu, Chenxiao Yang, Philip S. Yu
2024	A*	`conf`	Kraken: Inherently Parallel Transformers For Efficient Multi-Device Inference. NeurIPS Rohan Baskar Prabhakar, Hengrui Zhang, David Wentzlaff
2024	J	`jnl`	Kraken: Inherently Parallel Transformers For Efficient Multi-Device Inference. CoRR Rohan Baskar Prabhakar, Hengrui Zhang, David Wentzlaff
2024	A*	`conf`	LLMCompass: Enabling Efficient Hardware Design for Large Language Model Inference. ISCA Hengrui Zhang, August Ning, Rohan Baskar Prabhakar, David Wentzlaff
2024	A*	`conf`	Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space. ICLR Hengrui Zhang, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Xiao Qin, Christos Faloutsos, Huzefa Rangwala, George Karypis
2024	J	`jnl`	More accurate heatmap generation method for human pose estimation. Multim. Syst. Yongfeng Qi, Hengrui Zhang, Jia Liu
2024	J	`jnl`	Multi-Continental Healthcare Modelling Using Blockchain-Enabled Federated Learning. CoRR Rui Sun, Zhipeng Wang, Hengrui Zhang, Ming Jiang, Yizhe Wen, Jiqun Zhang, Jiahao Sun, Shuoying Zhang, Erwu Liu, Kezhi Li
2024	J	`jnl`	Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks. CoRR Qian Ma, Hongliang Chi, Hengrui Zhang, Kay Liu, Zhiwei Zhang, Lu Cheng, Suhang Wang, Philip S. Yu, Yao Ma
2024	—	`conf`	Research on the Prevention and Control of Low-Slow-Small Aircraft in Key Locations. ICBAR Dawei Li, Chengyu Wen, Hengrui Zhang, Jiapeng Huang
2024	A	`conf`	Revisit Orthogonality in Graph-Regularized MLPs. CIKM Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu
2024	J	`jnl`	SGFormer: Single-Layer Graph Transformers with Approximation-Free Linear Complexity. CoRR Qitian Wu, Kai Yang, Hengrui Zhang, David Wipf, Junchi Yan
2024	J	`jnl`	TabDiff: a Multi-Modal Diffusion Model for Tabular Data Generation. CoRR Juntong Shi, Minkai Xu, Harper Hua, Hengrui Zhang, Stefano Ermon, Jure Leskovec
2024	J	`jnl`	Unleashing the Potential of Diffusion Models for Incomplete Data Imputation. CoRR Hengrui Zhang, Liancheng Fang, Philip S. Yu
2023	J	`jnl`	A Hardware Evaluation Framework for Large Language Model Inference. CoRR Hengrui Zhang, August Ning, Rohan Baskar Prabhakar, David Wentzlaff
2023	J	`jnl`	A Modified 2-D Notch Filter Based on Image Segmentation for RFI Mitigation in Synthetic Aperture Radar. Remote. Sens. Zewen Fu, Hengrui Zhang, Jianhui Zhao, Ning Li, Fengbin Zheng
2023	A*	`conf`	CogDL: A Comprehensive Library for Graph Deep Learning. WWW 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
2023	A*	`conf`	DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Prediction. KDD Xiaowei Mao, Haomin Wen, Hengrui Zhang, Huaiyu Wan, Lixia Wu, Jianbin Zheng, Haoyuan Hu, Youfang Lin
2023	J	`jnl`	DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Prediction. CoRR Xiaowei Mao, Haomin Wen, Hengrui Zhang, Huaiyu Wan, Lixia Wu, Jianbin Zheng, Haoyuan Hu, Youfang Lin
2023	J	`jnl`	Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models. CoRR Kay Liu, Hengrui Zhang, Ziqing Hu, Fangxin Wang, Philip S. Yu
2023	A*	`conf`	Exploiting Intent Evolution in E-commercial Query Recommendation. KDD 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	J	`jnl`	Exploring the adoption decisions of mobile health service users: a behavioral reasoning theory perspective. Ind. Manag. Data Syst. Jung-Chieh Lee, Li Chen, Hengrui Zhang
2023	—	`conf`	HyperGef: A Framework Enabling Efficient Fusion for Hypergraph Neural Network on GPUs. MLSys Zhongming Yu, Guohao Dai, Shang Yang, Genghan Zhang, Hengrui Zhang, Feiwen Zhu, June Yang, Jishen Zhao, Yu Wang
2023	J	`jnl`	Lexicographic Actor-Critic Deep Reinforcement Learning for Urban Autonomous Driving. IEEE Trans. Veh. Technol. Hengrui Zhang, Youfang Lin, Sheng Han, Kai Lv
2023	J	`jnl`	Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space. CoRR Hengrui Zhang, Jiani Zhang, Balasubramaniam Srinivasan, Zhengyuan Shen, Xiao Qin, Christos Faloutsos, Huzefa Rangwala, George Karypis
2023	J	`jnl`	MolSets: Molecular Graph Deep Sets Learning for Mixture Property Modeling. CoRR Hengrui Zhang, Jie Chen, James M. Rondinelli, Wei Chen
2023	J	`jnl`	OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization. CoRR Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu
2023	A*	`conf`	Simplifying and Empowering Transformers for Large-Graph Representations. NeurIPS Qitian Wu, Wentao Zhao, Chenxiao Yang, Hengrui Zhang, Fan Nie, Haitian Jiang, Yatao Bian, Junchi Yan
2023	J	`jnl`	Simplifying and Empowering Transformers for Large-Graph Representations. CoRR Qitian Wu, Wentao Zhao, Chenxiao Yang, Hengrui Zhang, Fan Nie, Haitian Jiang, Yatao Bian, Junchi Yan
2023	J	`jnl`	The Application of SSC for RFI Suppression in SLC Images of Sentinel-1 IW Mode. IEEE Geosci. Remote. Sens. Lett. Yueli Sun, Hengrui Zhang, Bingxu Chen, Gaofeng Shu, Ning Li
2022	A*	`conf`	Align Representations with Base: A New Approach to Self-Supervised Learning. CVPR Shaofeng Zhang, Lyn Qiu, Feng Zhu, Junchi Yan, Hengrui Zhang, Rui Zhao, Hongyang Li, Xiaokang Yang
2022	J	`jnl`	An Improved RFI Mitigation Approach for SAR Based on Low-Rank Sparse Decomposition: From the Perspective of Useful Signal Protection. Remote. Sens. Hengrui Zhang, Lin Min, Jing Lu, Jike Chang, Zhengwei Guo, Ning Li
2022	J	`jnl`	Conservative Distributional Reinforcement Learning with Safety Constraints. CoRR Hengrui Zhang, Youfang Lin, Sheng Han, Shuo Wang, Kai Lv
2022	A	`conf`	ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation. CIKM Yu Wang, Hengrui Zhang, Zhiwei Liu, Liangwei Yang, Philip S. Yu
2022	J	`jnl`	ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation. CoRR Yu Wang, Hengrui Zhang, Zhiwei Liu, Liangwei Yang, Philip S. Yu
2022	J	`jnl`	ET-AL: Entropy-Targeted Active Learning for Bias Mitigation in Materials Data. CoRR Hengrui Zhang, Wei Wayne Chen, James M. Rondinelli, Wei Chen
2022	A*	`conf`	Handling Distribution Shifts on Graphs: An Invariance Perspective. ICLR Qitian Wu, Hengrui Zhang, Junchi Yan, David Wipf
2022	J	`jnl`	Heuristic Adaptability to Input Dynamics for SpMM on GPUs. CoRR Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang
2022	A*	`conf`	Heuristic adaptability to input dynamics for SpMM on CPUs. DAC Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang
2022	J	`jnl`	Localized Contrastive Learning on Graphs. CoRR Hengrui Zhang, Qitian Wu, Yu Wang, Shaofeng Zhang, Junchi Yan, Philip S. Yu
2022	A*	`conf`	M-Mix: Generating Hard Negatives via Multi-sample Mixing for Contrastive Learning. KDD Shaofeng Zhang, Meng Liu, Junchi Yan, Hengrui Zhang, Lingxiao Huang, Xiaokang Yang, Pinyan Lu
2022	J	`jnl`	Mobile Robot Path Planning Method Based on Deep Reinforcement Learning Algorithm. J. Circuits Syst. Comput. Haitao Meng, Hengrui Zhang
2022	J	`jnl`	Simultaneous Screening and Detection of RFI From Massive SAR Images: A Case Study on European Sentinel-1. IEEE Trans. Geosci. Remote. Sens. Ning Li, Hengrui Zhang, Zongsen Lv, Lin Min, Zhengwei Guo
2022	J	`jnl`	Towards Distribution Shift of Node-Level Prediction on Graphs: An Invariance Perspective. CoRR Qitian Wu, Hengrui Zhang, Junchi Yan, David Wipf
2022	J	`jnl`	Uncertainty-aware Mixed-variable Machine Learning for Materials Design. CoRR Hengrui Zhang, Wei Wayne Chen, Akshay Iyer, Daniel W. Apley, Wei Chen
2022	—	`conf`	Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective. MLSys Hengrui Zhang, Zhongming Yu, Guohao Dai, Guyue Huang, Yufei Ding, Yuan Xie, Yu Wang
2021	—	`conf`	A Two-Step Approach for Pulse RFI Detection in SAR Data. IEEE SENSORS Zongsen Lv, Hengrui Zhang, Ning Li, Zhengwei Guo
2021	A*	`conf`	From Canonical Correlation Analysis to Self-supervised Graph Neural Networks. NeurIPS Hengrui Zhang, Qitian Wu, Junchi Yan, David Wipf, Philip S. Yu
2021	J	`jnl`	From Canonical Correlation Analysis to Self-supervised Graph Neural Networks. CoRR Hengrui Zhang, Qitian Wu, Junchi Yan, David Wipf, Philip S. Yu
2021	J	`jnl`	Machine Learning for Electronic Design Automation: A Survey. CoRR 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
2021	J	`jnl`	Machine Learning for Electronic Design Automation: A Survey. ACM Trans. Design Autom. Electr. Syst. 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
2021	A	`conf`	Super Odometry: IMU-centric LiDAR-Visual-Inertial Estimator for Challenging Environments. IROS Shibo Zhao, Hengrui Zhang, Peng Wang, Lucas Nogueira, Sebastian A. Scherer
2021	J	`jnl`	Super Odometry: IMU-centric LiDAR-Visual-Inertial Estimator for Challenging Environments. CoRR Shibo Zhao, Hengrui Zhang, Peng Wang, Lucas Nogueira, Sebastian A. Scherer
2021	A*	`conf`	Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach. ICML Qitian Wu, Hengrui Zhang, Xiaofeng Gao, Junchi Yan, Hongyuan Zha
2021	J	`jnl`	Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective. CoRR Hengrui Zhang, Zhongming Yu, Guohao Dai, Guyue Huang, Yufei Ding, Yuan Xie, Yu Wang
2020	J	`jnl`	Inductive Relational Matrix Completion. CoRR Qitian Wu, Hengrui Zhang, Hongyuan Zha
2020	A	`conf`	Stacked Mixed-Order Graph Convolutional Networks for Collaborative Filtering. SDM Hengrui Zhang, Julian J. McAuley
2020	A	`conf`	TP-TIO: A Robust Thermal-Inertial Odometry with Deep ThermalPoint. IROS Shibo Zhao, Peng Wang, Hengrui Zhang, Zheng Fang, Sebastian A. Scherer
2020	J	`jnl`	TP-TIO: A Robust Thermal-Inertial Odometry with Deep ThermalPoint. CoRR Shibo Zhao, Peng Wang, Hengrui Zhang, Zheng Fang, Sebastian A. Scherer
2019	A*	`conf`	Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems. WWW Qitian Wu, Hengrui Zhang, Xiaofeng Gao, Peng He, Paul Weng, Han Gao, Guihai Chen
2019	J	`jnl`	Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems. CoRR Qitian Wu, Hengrui Zhang, Xiaofeng Gao, Peng He, Paul Weng, Han Gao, Guihai Chen
2018	A	`conf`	Adversarial Training Model Unifying Feature Driven and Point Process Perspectives for Event Popularity Prediction. CIKM Qitian Wu, Chaoqi Yang, Hengrui Zhang, Xiaofeng Gao, Paul Weng, Guihai Chen
2007	Misc	`conf`	Extending Web Search for Online Plagiarism Detection. IRI Yi-Ting Liu, Hengrui Zhang, Tai-Wei Chen, Wei-Guang Teng