Hongbin Pei - RankMe

44 papers A* 15B 1Journal 24Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ADP: Graph Adaptive Pooling Based on Edge Understanding With Graph Pooling Information Bottleneck. IEEE Trans. Consumer Electron. Zhe Cao, Lixin Xu, Ruiheng Zhang, Jin Zhang, Hongbin Pei, Daming Zhou, Jiayan Qiu
2025	J	`jnl`	An unsupervised fusion framework of generation and retrieval for entity search. Expert Syst. Appl. Denghao Ma, Xu Zhang, Xueqiang Lv, Yanhe Du, Changyu Wang, Hongbin Pei
2025	J	`jnl`	Attribution Explanations for Deep Neural Networks: A Theoretical Perspective. CoRR Huiqi Deng, Hongbin Pei, Quanshi Zhang, Mengnan Du
2025	A*	`conf`	Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models. AAAI Jie Ma, Zhitao Gao, Qi Chai, Wangchun Sun, Pinghui Wang, Hongbin Pei, Jing Tao, Lingyun Song, Jun Liu, Chen Zhang, Lizhen Cui
2025	J	`jnl`	Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs. CoRR Jie Ma, Ning Qu, Zhitao Gao, Rui Xing, Jun Liu, Hongbin Pei, Jiang Xie, Linyun Song, Pinghui Wang, Jing Tao, Zhou Su
2025	A*	`conf`	Non-Stationary Predictions May Be More Informative: Exploring Pseudo-Labels with a Two-Phase Pattern of Training Dynamics. ICML Hongbin Pei, Jingxin Hai, Yu Li, Huiqi Deng, Denghao Ma, Jie Ma, Pinghui Wang, Jing Tao, Xiaohong Guan
2025	—	`conf`	PARSIFAL: Private and Robust Sign Federated Learning. KDD (2) Runze Lei, Pinghui Wang, Juxiang Zeng, Chenxu Wang, Hongbin Pei, Junzhou Zhao
2025	A*	`conf`	TexGarment: Consistent Garment UV Texture Generation via Efficient 3D Structure-Guided Diffusion Transformer. CVPR Jialun Liu, Jinbo Wu, Xiaobo Gao, Jiakui Hu, Bojun Xiong, Xing Liu, Chen Zhao, Hongbin Pei, Haocheng Feng, Yingying Li, Errui Ding, Jingdong Wang
2025	J	`jnl`	The Interaction Bottleneck of Deep Neural Networks: Discovery, Proof, and Modulation. CoRR Huiqi Deng, Qihan Ren, Zhuofan Chen, Zhenyuan Cui, Wen Shen, Peng Zhang, Hongbin Pei, Quanshi Zhang
2025	—	`conf`	VisitFrequency-Diffusion: Leveraging Recurrent Visits for Long-Term Individual Trajectory Forecasting. SIGSPATIAL/GIS Ziyan Yang, Shuhui Gong, Xinqi Liu, Jiahao Lv, Changjian Liu, Jilin Hu, Hongbin Pei
2024	—	`conf`	Concentrating Estimation Attention: Human Prior Constrained Methods for Robust Classification. PRCV (15) Zhe Cao, Shuo Yang, Yumeng Liu, Xiaofeng Xu, Hongbin Pei, Yan Huang, Yushu Yu, Ruiheng Zhang
2024	J	`jnl`	Data-driven smoothing approaches for interest modeling in recommendation systems. Expert Syst. Appl. Denghao Ma, Xiayu Wang, Xueqiang Lv, Hongbin Pei, Liang Shen, Youyou Zhang
2024	J	`jnl`	Debate on Graph: a Flexible and Reliable Reasoning Framework for Large Language Models. CoRR Jie Ma, Zhitao Gao, Qi Chai, Wangchun Sun, Pinghui Wang, Hongbin Pei, Jing Tao, Lingyun Song, Jun Liu, Chen Zhang, Lizhen Cui
2024	J	`jnl`	Deep click interest network for reranking hotels. Eng. Appl. Artif. Intell. Denghao Ma, Hongbin Pei, Peng Bao, Xueqiang Lv, Liang Shen, Genliang Yi, Haoxing Wen
2024	A*	`conf`	Generalized Variational Inference via Optimal Transport. AAAI Jinjin Chi, Zhichao Zhang, Zhiyao Yang, Jihong Ouyang, Hongbin Pei
2024	A*	`conf`	HAGO-Net: Hierarchical Geometric Massage Passing for Molecular Representation Learning. AAAI Hongbin Pei, Taile Chen, Chen A, Huiqi Deng, Jing Tao, Pinghui Wang, Xiaohong Guan
2024	A*	`conf`	Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering. NeurIPS Jie Ma, Min Hu, Pinghui Wang, Wangchun Sun, Lingyun Song, Hongbin Pei, Jun Liu, Youtian Du
2024	J	`jnl`	Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering. CoRR Jie Ma, Min Hu, Pinghui Wang, Wangchun Sun, Lingyun Song, Hongbin Pei, Jun Liu, Youtian Du
2024	A*	`conf`	Memory Disagreement: A Pseudo-Labeling Measure from Training Dynamics for Semi-supervised Graph Learning. WWW Hongbin Pei, Yuheng Xiong, Pinghui Wang, Jing Tao, Jialun Liu, Huiqi Deng, Jie Ma, Xiaohong Guan
2024	A*	`conf`	Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing. ICML Hongbin Pei, Yu Li, Huiqi Deng, Jingxin Hai, Pinghui Wang, Jie Ma, Jing Tao, Yuheng Xiong, Xiaohong Guan
2024	J	`jnl`	Robust Visual Question Answering: Datasets, Methods, and Future Challenges. IEEE Trans. Pattern Anal. Mach. Intell. Jie Ma, Pinghui Wang, Dechen Kong, Zewei Wang, Jun Liu, Hongbin Pei, Junzhou Zhao
2023	J	`jnl`	LaenNet: Learning robust GCNs by propagating labels. Neural Networks Chunxu Zhang, Ximing Li, Hongbin Pei, Zijian Zhang, Bing Liu, Bo Yang
2023	J	`jnl`	Robust Visual Question Answering: Datasets, Methods, and Future Challenges. CoRR Jie Ma, Pinghui Wang, Dechen Kong, Zewei Wang, Jun Liu, Hongbin Pei, Junzhou Zhao
2022	J	`jnl`	Active Surveillance via Group Sparse Bayesian Learning. IEEE Trans. Pattern Anal. Mach. Intell. Hongbin Pei, Bo Yang, Jiming Liu, Kevin Chen-Chuan Chang
2022	—	`conf`	Definition-Augmented Jointly Training Framework for Intention Phrase Mining. DASFAA (3) Denghao Ma, Yueguo Chen, Changyu Wang, Hongbin Pei, Yitao Zhai, Gang Zheng, Qi Chen
2022	J	`jnl`	Feature Cloud: Improving Deep Visual Recognition With Probabilistic Feature Augmentation. IEEE Trans. Circuits Syst. Video Technol. Jialun Liu, Yifan Sun, Yijin Xu, Hongbin Pei, Wenhui Li
2022	A*	`conf`	Learning Memory-Augmented Unidirectional Metrics for Cross-modality Person Re-identification. CVPR Jialun Liu, Yifan Sun, Feng Zhu, Hongbin Pei, Yi Yang, Wenhui Li
2022	J	`jnl`	Social Attentive Deep Q-Networks for Recommender Systems. IEEE Trans. Knowl. Data Eng. Yu Lei, Zhitao Wang, Wenjie Li, Hongbin Pei, Quanyu Dai
2020	A*	`conf`	Curvature Regularization to Prevent Distortion in Graph Embedding. NeurIPS Hongbin Pei, Bingzhe Wei, Kevin Chang, Chunxu Zhang, Bo Yang
2020	J	`jnl`	Curvature Regularization to Prevent Distortion in Graph Embedding. CoRR Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Chunxu Zhang, Bo Yang
2020	A*	`conf`	Geom-GCN: Geometric Graph Convolutional Networks. ICLR Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Yu Lei, Bo Yang
2020	J	`jnl`	Geom-GCN: Geometric Graph Convolutional Networks. CoRR Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Yu Lei, Bo Yang
2020	J	`jnl`	Neural Explainable Recommender Model Based on Attributes and Reviews. J. Comput. Sci. Technol. Yu-Yao Liu, Bo Yang, Hongbin Pei, Jing Huang
2020	A*	`conf`	Reinforcement Learning based Recommendation with Graph Convolutional Q-network. SIGIR Yu Lei, Hongbin Pei, Hanqi Yan, Wenjie Li
2019	J	`jnl`	Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-Identification. IEEE Access Jialun Liu, Wenhui Li, Hongbin Pei, Ying Wang, Feng Qu, You Qu, Yuhao Chen
2019	J	`jnl`	Next Generation Technology for Epidemic Prevention and Control: Data-Driven Contact Tracking. IEEE Access Hechang Chen, Bo Yang, Hongbin Pei, Jiming Liu
2019	A*	`conf`	Social Attentive Deep Q-network for Recommendation. SIGIR Yu Lei, Zhitao Wang, Wenjie Li, Hongbin Pei
2018	J	`jnl`	A New Dynamic Path Planning Approach for Unmanned Aerial Vehicles. Complex. Chenxi Huang, Yisha Lan, Yuchen Liu, Wen Zhou, Hongbin Pei, Longzhi Yang, Yongqiang Cheng, Yongtao Hao, Yonghong Peng
2018	A*	`conf`	Group Sparse Bayesian Learning for Active Surveillance on Epidemic Dynamics. AAAI Hongbin Pei, Bo Yang, Jiming Liu, Lei Dong
2017	J	`jnl`	Characterizing and Discovering Spatiotemporal Social Contact Patterns for Healthcare. IEEE Trans. Pattern Anal. Mach. Intell. Bo Yang, Hongbin Pei, Hechang Chen, Jiming Liu, Shang Xia
2017	J	`jnl`	Group Sparse Bayesian Learning for Active Surveillance on Epidemic Dynamics. CoRR Hongbin Pei, Bo Yang, Jiming Liu, Lei Dong
2016	J	`jnl`	Early Warning of Human Crowds Based on Query Data from Baidu Map: Analysis Based on Shanghai Stampede. CoRR Jingbo Zhou, Hongbin Pei, Haishan Wu
2014	B	`conf`	Mining Specification of Insecure Browser Extension Behavior. TrustCom Hongbin Pei, Xiaohong Li, Guangquan Xu, Zhiyong Feng
2014	A*	`conf`	Modeling and Mining Spatiotemporal Social Contact of Metapopulation from Heterogeneous Data. ICDM Bo Yang, Hongbin Pei, Hechang Chen, Jiming Liu, Shang Xia