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2020 – today
- 2026
[j15]Huiqi Deng
, Hongbin Pei, Quanshi Zhang, Mengnan Du:
Attribution Explanations for Deep Neural Networks: A Theoretical Perspective. IEEE Trans. Pattern Anal. Mach. Intell. 48(7): 7387-7406 (2026)- [j14]Zhe Cao, Lixin Xu, Ruiheng Zhang, Jin Zhang, Hongbin Pei, Daming Zhou, Jiayan Qiu:
ADP: Graph Adaptive Pooling Based on Edge Understanding With Graph Pooling Information Bottleneck. IEEE Trans. Consumer Electron. 72(1): 692-704 (2026) - [i12]Huiqi Deng, Yibo Li, Quanshi Zhang, Peng Zhang, Hongbin Pei, Xia Hu:
Understanding Generalization through Decision Pattern Shift. CoRR abs/2605.13148 (2026) - [i11]Bing Liu, Shunping Wang, Yufan Zhu, Xinyi Yu, Jing Huang, Linkang Du, Hongbin Pei, Wei Luo:
Implicit Identity Technologies for LLMs: Fingerprinting and Watermarking across Datasets, Models, and Generated Content. CoRR abs/2605.29245 (2026) - 2025
- [j13]Denghao Ma, Xu Zhang, Xueqiang Lv, Yanhe Du, Changyu Wang, Hongbin Pei:
An unsupervised fusion framework of generation and retrieval for entity search. Expert Syst. Appl. 286: 128106 (2025) - [c21]Jie Ma, Zhitao Gao, Qi Chai, Wangchun Sun, Pinghui Wang, Hongbin Pei, Jing Tao, Lingyun Song, Jun Liu, Chen Zhang, Lizhen Cui:
Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models. AAAI 2025: 24768-24776 - [c20]Jialun Liu, Jinbo Wu, Xiaobo Gao, Jiakui Hu, Bojun Xiong, Xing Liu, Chen Zhao, Hongbin Pei, Haocheng Feng, Yingying Li, Errui Ding, Jingdong Wang:
TexGarment: Consistent Garment UV Texture Generation via Efficient 3D Structure-Guided Diffusion Transformer. CVPR 2025: 26566-26575 - [c19]Ziyan Yang, Shuhui Gong, Xinqi Liu, Jiahao Lv, Changjian Liu, Jilin Hu, Hongbin Pei:
VisitFrequency-Diffusion: Leveraging Recurrent Visits for Long-Term Individual Trajectory Forecasting. SIGSPATIAL/GIS 2025: 1190-1193 - [c18]Hongbin Pei, Jingxin Hai, Yu Li, Huiqi Deng, Denghao Ma, Jie Ma, Pinghui Wang, Jing Tao, Xiaohong Guan:
Non-Stationary Predictions May Be More Informative: Exploring Pseudo-Labels with a Two-Phase Pattern of Training Dynamics. ICML 2025 - [c17]Runze Lei, Pinghui Wang, Juxiang Zeng, Chenxu Wang, Hongbin Pei, Junzhou Zhao:
PARSIFAL: Private and Robust Sign Federated Learning. KDD (2) 2025: 1296-1307 - [c16]Jie Ma, Ning Qu, Zhitao Gao, Rui Xing, Jun Liu, Hongbin Pei, Jiang Xie, Lingyun Song, Pinghui Wang, Jing Tao, Zhou Su:
Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs. NeurIPS 2025 - [d1]Runze Lei, Pinghui Wang, Juxiang Zeng, Chenxu Wang, Hongbin Pei, Junzhou Zhao:
PARSIFAL: Private and Robust Sign Federated Learning. Zenodo, 2025
- [i10]Jie Ma, Ning Qu, Zhitao Gao, Rui Xing, Jun Liu, Hongbin Pei, Jiang Xie, Linyun Song, Pinghui Wang, Jing Tao, Zhou Su:
Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs. CoRR abs/2505.15210 (2025) - [i9]Huiqi Deng, Hongbin Pei, Quanshi Zhang, Mengnan Du:
Attribution Explanations for Deep Neural Networks: A Theoretical Perspective. CoRR abs/2508.07636 (2025) - [i8]Huiqi Deng, Qihan Ren, Zhuofan Chen, Zhenyuan Cui, Wen Shen, Peng Zhang, Hongbin Pei, Quanshi Zhang:
The Interaction Bottleneck of Deep Neural Networks: Discovery, Proof, and Modulation. CoRR abs/2512.18607 (2025) - 2024
- [j12]Denghao Ma, Hongbin Pei, Peng Bao, Xueqiang Lv, Liang Shen, Genliang Yi, Haoxing Wen:
Deep click interest network for reranking hotels. Eng. Appl. Artif. Intell. 130: 107675 (2024) - [j11]Denghao Ma, Xiayu Wang, Xueqiang Lv, Hongbin Pei, Liang Shen, Youyou Zhang:
Data-driven smoothing approaches for interest modeling in recommendation systems. Expert Syst. Appl. 249: 123524 (2024) - [j10]Jie Ma, Pinghui Wang, Dechen Kong, Zewei Wang, Jun Liu, Hongbin Pei, Junzhou Zhao:
Robust Visual Question Answering: Datasets, Methods, and Future Challenges. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5575-5594 (2024) - [c15]Jinjin Chi, Zhichao Zhang, Zhiyao Yang, Jihong Ouyang, Hongbin Pei:
Generalized Variational Inference via Optimal Transport. AAAI 2024: 11534-11542 - [c14]Hongbin Pei, Taile Chen, Chen A, Huiqi Deng, Jing Tao, Pinghui Wang, Xiaohong Guan:
HAGO-Net: Hierarchical Geometric Massage Passing for Molecular Representation Learning. AAAI 2024: 14572-14580 - [c13]Hongbin Pei, Yu Li, Huiqi Deng, Jingxin Hai, Pinghui Wang, Jie Ma, Jing Tao, Yuheng Xiong, Xiaohong Guan:
Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing. ICML 2024: 40078-40091 - [c12]Jie Ma, Min Hu, Pinghui Wang, Wangchun Sun, Lingyun Song, Hongbin Pei, Jun Liu, Youtian Du:
Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering. NeurIPS 2024 - [c11]Zhe Cao, Shuo Yang, Yumeng Liu, Xiaofeng Xu, Hongbin Pei, Yan Huang, Yushu Yu, Ruiheng Zhang:
Concentrating Estimation Attention: Human Prior Constrained Methods for Robust Classification. PRCV (15) 2024: 567-580 - [c10]Hongbin Pei, Yuheng Xiong, Pinghui Wang, Jing Tao, Jialun Liu, Huiqi Deng, Jie Ma, Xiaohong Guan:
Memory Disagreement: A Pseudo-Labeling Measure from Training Dynamics for Semi-supervised Graph Learning. WWW 2024: 434-445 - [i7]Jie Ma, Min Hu, Pinghui Wang, Wangchun Sun, Lingyun Song, Hongbin Pei, Jun Liu, Youtian Du:
Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering. CoRR abs/2404.12020 (2024) - [i6]Jie Ma, Zhitao Gao, Qi Chai, Wangchun Sun, Pinghui Wang, Hongbin Pei, Jing Tao, Lingyun Song, Jun Liu, Chen Zhang, Lizhen Cui:
Debate on Graph: a Flexible and Reliable Reasoning Framework for Large Language Models. CoRR abs/2409.03155 (2024) - 2023
- [j9]Chunxu Zhang, Ximing Li, Hongbin Pei, Zijian Zhang, Bing Liu, Bo Yang:
LaenNet: Learning robust GCNs by propagating labels. Neural Networks 168: 652-664 (2023) - [i5]Jie Ma, Pinghui Wang, Dechen Kong, Zewei Wang, Jun Liu, Hongbin Pei, Junzhou Zhao:
Robust Visual Question Answering: Datasets, Methods, and Future Challenges. CoRR abs/2307.11471 (2023) - 2022
- [j8]Hongbin Pei, Bo Yang, Jiming Liu, Kevin Chen-Chuan Chang:
Active Surveillance via Group Sparse Bayesian Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1133-1148 (2022) - [j7]Jialun Liu, Yifan Sun, Yijin Xu, Hongbin Pei, Wenhui Li:
Feature Cloud: Improving Deep Visual Recognition With Probabilistic Feature Augmentation. IEEE Trans. Circuits Syst. Video Technol. 32(7): 4122-4137 (2022) - [j6]Yu Lei, Zhitao Wang, Wenjie Li, Hongbin Pei, Quanyu Dai:
Social Attentive Deep Q-Networks for Recommender Systems. IEEE Trans. Knowl. Data Eng. 34(5): 2443-2457 (2022) - [c9]Jialun Liu, Yifan Sun, Feng Zhu, Hongbin Pei, Yi Yang, Wenhui Li:
Learning Memory-Augmented Unidirectional Metrics for Cross-modality Person Re-identification. CVPR 2022: 19344-19353 - [c8]Denghao Ma, Yueguo Chen, Changyu Wang, Hongbin Pei, Yitao Zhai, Gang Zheng, Qi Chen:
Definition-Augmented Jointly Training Framework for Intention Phrase Mining. DASFAA (3) 2022: 331-339 - 2020
- [j5]Yu-Yao Liu, Bo Yang, Hongbin Pei, Jing Huang:
Neural Explainable Recommender Model Based on Attributes and Reviews. J. Comput. Sci. Technol. 35(6): 1446-1460 (2020) - [c7]Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Yu Lei, Bo Yang:
Geom-GCN: Geometric Graph Convolutional Networks. ICLR 2020 - [c6]Hongbin Pei, Bingzhe Wei, Kevin Chang, Chunxu Zhang, Bo Yang:
Curvature Regularization to Prevent Distortion in Graph Embedding. NeurIPS 2020 - [c5]Yu Lei, Hongbin Pei, Hanqi Yan, Wenjie Li:
Reinforcement Learning based Recommendation with Graph Convolutional Q-network. SIGIR 2020: 1757-1760 - [i4]Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Yu Lei, Bo Yang:
Geom-GCN: Geometric Graph Convolutional Networks. CoRR abs/2002.05287 (2020) - [i3]Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Chunxu Zhang, Bo Yang:
Curvature Regularization to Prevent Distortion in Graph Embedding. CoRR abs/2011.14211 (2020)
2010 – 2019
- 2019
- [j4]Hechang Chen, Bo Yang, Hongbin Pei, Jiming Liu:
Next Generation Technology for Epidemic Prevention and Control: Data-Driven Contact Tracking. IEEE Access 7: 2633-2642 (2019) - [j3]Jialun Liu, Wenhui Li, Hongbin Pei, Ying Wang, Feng Qu, You Qu, Yuhao Chen:
Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-Identification. IEEE Access 7: 114021-114032 (2019) - [c4]Yu Lei, Zhitao Wang, Wenjie Li, Hongbin Pei:
Social Attentive Deep Q-network for Recommendation. SIGIR 2019: 1189-1192 - 2018
- [j2]Chenxi Huang, Yisha Lan, Yuchen Liu, Wen Zhou, Hongbin Pei, Longzhi Yang, Yongqiang Cheng, Yongtao Hao, Yonghong Peng:
A New Dynamic Path Planning Approach for Unmanned Aerial Vehicles. Complex. 2018: 8420294:1-8420294:17 (2018) - [c3]Hongbin Pei, Bo Yang, Jiming Liu, Lei Dong:
Group Sparse Bayesian Learning for Active Surveillance on Epidemic Dynamics. AAAI 2018: 800-807 - 2017
- [j1]Bo Yang, Hongbin Pei, Hechang Chen, Jiming Liu, Shang Xia:
Characterizing and Discovering Spatiotemporal Social Contact Patterns for Healthcare. IEEE Trans. Pattern Anal. Mach. Intell. 39(8): 1532-1546 (2017) - [i2]Hongbin Pei, Bo Yang, Jiming Liu, Lei Dong:
Group Sparse Bayesian Learning for Active Surveillance on Epidemic Dynamics. CoRR abs/1712.00328 (2017) - 2016
- [i1]Jingbo Zhou, Hongbin Pei, Haishan Wu:
Early Warning of Human Crowds Based on Query Data from Baidu Map: Analysis Based on Shanghai Stampede. CoRR abs/1603.06780 (2016) - 2014
- [c2]Bo Yang, Hongbin Pei, Hechang Chen, Jiming Liu, Shang Xia:
Modeling and Mining Spatiotemporal Social Contact of Metapopulation from Heterogeneous Data. ICDM 2014: 630-639 - [c1]Hongbin Pei, Xiaohong Li, Guangquan Xu, Zhiyong Feng:
Mining Specification of Insecure Browser Extension Behavior. TrustCom 2014: 871-876
Coauthor Index
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last updated on 2026-06-26 01:58 CEST by the dblp team
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