Bin Li

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 105

Top Venues

CoRR

IJCAI

AAAI

IEEE Trans. Knowl. Data Eng.

Publications

Fan Shi, Bin Li, Xiangyang Xue
Towards Generative Abstract Reasoning: Completing Raven's Progressive Matrix via Rule Abstraction and Selection. ICLR (2024)
Tonglin Chen, Zhimeng Shen, Bin Li, Xiangyang Xue
Compositional scene modeling with global object-centric representations. Mach. Learn. 113 (6) (2024)
Shangchao Su, Mingzhao Yang, Bin Li, Xiangyang Xue
Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning. AAAI (2024)
Jinyang Yuan, Tonglin Chen, Zhimeng Shen, Bin Li, Xiangyang Xue
Unsupervised Object-Centric Learning From Multiple Unspecified Viewpoints. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Qizao Wang, Xuelin Qian, Bin Li, Lifeng Chen, Yanwei Fu, Xiangyang Xue
Content and Salient Semantics Collaboration for Cloth-Changing Person Re-Identification. CoRR (2024)
Nanxing Meng, Qizao Wang, Bin Li, Xiangyang Xue
Unleashing the Potential of Tracklets for Unsupervised Video Person Re-Identification. CoRR (2024)
Zhiyu Jin, Xuli Shen, Bin Li, Xiangyang Xue
Style spectroscope: improve interpretability and controllability through Fourier analysis. Mach. Learn. 113 (6) (2024)
Haiyang Yu, Teng Fu, Bin Li, Xiangyang Xue
EAFormer: Scene Text Segmentation with Edge-Aware Transformers. CoRR (2024)
Mingzhao Yang, Shangchao Su, Bin Li, Xiangyang Xue
Exploring One-Shot Semi-supervised Federated Learning with Pre-trained Diffusion Models. AAAI (2024)
Qizao Wang, Xuelin Qian, Bin Li, Xiangyang Xue
Distribution Aligned Semantics Adaption for Lifelong Person Re-Identification. CoRR (2024)
Haiyang Yu, Jingye Chen, Bin Li, Xiangyang Xue
Chinese character recognition with radical-structured stroke trees. Mach. Learn. 113 (6) (2024)
Ke Niu, Haiyang Yu, Xuelin Qian, Teng Fu, Bin Li, Xiangyang Xue
Synthesizing Efficient Data with Diffusion Models for Person Re-Identification Pre-Training. CoRR (2024)
Wei Wu, Bin Li, Chuan Luo, Wolfgang Nejdl, Xuan Tan
MPSketch: Message Passing Networks via Randomized Hashing for Efficient Attributed Network Embedding. IEEE Trans. Cybern. 54 (5) (2024)
Mingzhao Yang, Shangchao Su, Bin Li, Xiangyang Xue
FedDEO: Description-Enhanced One-Shot Federated Learning with Diffusion Models. CoRR (2024)
Haiyang Yu, Xiaocong Wang, Ke Niu, Bin Li, Xiangyang Xue
Scene Text Segmentation with Text-Focused Transformers. ACM Multimedia (2023)
Haiyang Yu, Xiaocong Wang, Bin Li, Xiangyang Xue
Chinese Text Recognition with A Pre-Trained CLIP-Like Model Through Image-IDS Aligning. CoRR (2023)
Xinyan Zu, Haiyang Yu, Bin Li, Xiangyang Que
Weakly-Supervised Text Instance Segmentation. CoRR (2023)
Ziyang Ye, Haiyang Yu, Bin Li
Uncertainty-aware U-Net for Medical Landmark Detection. CoRR (2023)
Shangchao Su, Bin Li, Xiangyang Xue
FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients. CoRR (2023)
Fan Shi, Bin Li, Xiangyang Xue
Compositional Law Parsing with Latent Random Functions. ICLR (2023)
Mingzhao Yang, Shangchao Su, Bin Li, Xiangyang Xue
One-Shot Federated Learning with Classifier-Guided Diffusion Models. CoRR (2023)
Jinyang Yuan, Tonglin Chen, Bin Li, Xiangyang Xue
Compositional Scene Representation Learning via Reconstruction: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45 (10) (2023)
Shangchao Su, Bin Li, Xiangyang Xue
One-shot Federated Learning without server-side training. Neural Networks 164 (2023)
Haiyang Yu, Xiaocong Wang, Bin Li, Xiangyang Xue
Orientation-Independent Chinese Text Recognition in Scene Images. CoRR (2023)
Shangchao Su, Bin Li, Chengzhi Zhang, Mingzhao Yang, Xiangyang Xue
Cross-domain Federated Object Detection. ICME (2023)
Shangchao Su, Haiyang Yu, Bin Li, Xiangyang Xue
Privacy-Preserving Collaborative Chinese Text Recognition with Federated Learning. CoRR (2023)
Xuhui Fan, Yaqiong Li, Ling Chen, Bin Li, Scott A. Sisson
Hawkes Processes With Stochastic Exogenous Effects for Continuous-Time Interaction Modelling. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Teng Fu, Xiaocong Wang, Haiyang Yu, Ke Niu, Bin Li, Xiangyang Xue
DeNoising-MOT: Towards Multiple Object Tracking with Severe Occlusions. CoRR (2023)
Xinyan Zu, Haiyang Yu, Bin Li, Xiangyang Xue
Weakly-Supervised Text Instance Segmentation. ACM Multimedia (2023)
Fan Shi, Bin Li, Xiangyang Xue
Abstracting Concept-Changing Rules for Solving Raven's Progressive Matrix Problems. CoRR (2023)
Zhiyu Jin, Xuli Shen, Bin Li, Xiangyang Xue
Training-free Diffusion Model Adaptation for Variable-Sized Text-to-Image Synthesis. CoRR (2023)
Haiyang Yu, Xiaocong Wang, Bin Li, Xiangyang Xue
Orientation-Independent Chinese Text Recognition in Scene Images. IJCAI (2023)
Xinyan Zu, Haiyang Yu, Bin Li, Xiangyang Xue
Towards Accurate Video Text Spotting with Text-wise Semantic Reasoning. IJCAI (2023)
Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang
A Review for Weighted MinHash Algorithms (Extended abstract). ICDE (2023)
Guozeng Xian, Changyun Ji, Lin Zhou, Guang Chen, Junping Zhang, Bin Li, Xiangyang Xue, Jian Pu
Location-Guided LiDAR-Based Panoptic Segmentation for Autonomous Driving. IEEE Trans. Intell. Veh. 8 (2) (2023)
Xiaocong Wang, Chaoyue Wu, Haiyang Yu, Bin Li, Xiangyang Xue
TextFormer: Component-aware Text Segmentation with Transformer. ICME (2023)
Chengmin Gao, Bin Li
Time-Conditioned Generative Modeling of Object-Centric Representations for Video Decomposition and Prediction. UAI (2023)
Ling Luo, Bin Li, Xuhui Fan, Yang Wang, Irena Koprinska, Fang Chen
Dynamic customer segmentation via hierarchical fragmentation-coagulation processes. Mach. Learn. 112 (1) (2023)
Teng Fu, Xiaocong Wang, Haiyang Yu, Ke Niu, Bin Li, Xiangyang Xue
DeNoising-MOT: Towards Multiple Object Tracking with Severe Occlusions. ACM Multimedia (2023)
Mingzhao Yang, Shangchao Su, Bin Li, Xiangyang Xue
Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion Model. CoRR (2023)
Zhiyu Jin, Xuli Shen, Bin Li, Xiangyang Xue
Training-free Diffusion Model Adaptation for Variable-Sized Text-to-Image Synthesis. NeurIPS (2023)
Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson
Smoothing graphons for modelling exchangeable relational data. Mach. Learn. 111 (1) (2022)
Shangchao Su, Bin Li, Xiangyang Xue
One-shot Federated Learning without Server-side Training. CoRR (2022)
Jingye Chen, Haiyang Yu, Jianqi Ma, Bin Li, Xiangyang Xue
Text Gestalt: Stroke-Aware Scene Text Image Super-resolution. AAAI (2022)
Zhiyu Jin, Xuli Shen, Bin Li, Xiangyang Xue
Style Spectroscope: Improve Interpretability and Controllability through Fourier Analysis. CoRR (2022)
Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang
A Review for Weighted MinHash Algorithms. IEEE Trans. Knowl. Data Eng. 34 (6) (2022)
Jinyang Yuan, Bin Li, Xiangyang Xue
Unsupervised Learning of Compositional Scene Representations from Multiple Unspecified Viewpoints. AAAI (2022)
Shangchao Su, Bin Li, Chengzhi Zhang, Mingzhao Yang, Xiangyang Xue
Cross-domain Federated Object Detection. CoRR (2022)
Jinyang Yuan, Tonglin Chen, Bin Li, Xiangyang Xue
Compositional Scene Representation Learning via Reconstruction: A Survey. CoRR (2022)
Tairu Qiu, Guanxian Chen, Zhongang Qi, Bin Li, Ying Shan, Xiangyang Xue
A Generic Object Re-identification System for Short Videos. CoRR (2021)
Jingye Chen, Bin Li, Xiangyang Xue
Scene Text Telescope: Text-Focused Scene Image Super-Resolution. CVPR (2021)
Jingye Chen, Haiyang Yu, Jianqi Ma, Mengnan Guan, Xixi Xu, Xiaocong Wang, Shaobo Qu, Bin Li, Xiangyang Xue
Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study. CoRR (2021)
Jinyang Yuan, Bin Li, Xiangyang Xue
Knowledge-Guided Object Discovery with Acquired Deep Impressions. AAAI (2021)
Xuhui Fan, Bin Li, Feng Zhou, Scott A. Sisson
Continuous-time edge modelling using non-parametric point processes. NeurIPS (2021)
Jinyang Yuan, Bin Li, Xiangyang Xue
Knowledge-Guided Object Discovery with Acquired Deep Impressions. CoRR (2021)
Fan Shi, Bin Li, Xiangyang Xue
Raven's Progressive Matrices Completion with Latent Gaussian Process Priors. CoRR (2021)
Jinyang Yuan, Bin Li, Xiangyang Xue
Unsupervised Learning of Compositional Scene Representations from Multiple Unspecified Viewpoints. CoRR (2021)
Fan Shi, Bin Li, Xiangyang Xue
Raven's Progressive Matrices Completion with Latent Gaussian Process Priors. AAAI (2021)
Jingye Chen, Haiyang Yu, Jianqi Ma, Bin Li, Xiangyang Xue
Text Gestalt: Stroke-Aware Scene Text Image Super-Resolution. CoRR (2021)
Xuhui Fan, Bin Li, Yaqiong Li, Scott A. Sisson
Poisson-Randomised DirBN: Large Mutation is Needed in Dirichlet Belief Networks. ICML (2021)
Jingye Chen, Bin Li, Xiangyang Xue
Zero-Shot Chinese Character Recognition with Stroke-Level Decomposition. IJCAI (2021)
Jingye Chen, Bin Li, Xiangyang Xue
Zero-Shot Chinese Character Recognition with Stroke-Level Decomposition. CoRR (2021)
Xuhui Fan, Bin Li, Ling Luo, Scott A. Sisson
Bayesian Nonparametric Space Partitions: A Survey. IJCAI (2021)
Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson
Decoupling Sparsity and Smoothness in Dirichlet Belief Networks. ECML/PKDD (2) (2021)
Wei Wu, Bin Li, Chuan Luo, Wolfgang Nejdl
Hashing-Accelerated Graph Neural Networks for Link Prediction. WWW (2021)
Xuhui Fan, Bin Li, Scott A. Sisson
Online Binary Space Partitioning Forests. CoRR (2020)
Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson
Recurrent Dirichlet Belief Networks for Interpretable Dynamic Relational Data Modelling. CoRR (2020)
Xuhui Fan, Yaqiong Li, Ling Chen, Bin Li, Scott A. Sisson
Smoothing Graphons for Modelling Exchangeable Relational Data. CoRR (2020)
Xuhui Fan, Bin Li, Ling Luo, Scott A. Sisson
Bayesian Nonparametric Space Partitions: A Survey. CoRR (2020)
Xuhui Fan, Bin Li, Scott A. Sisson
Online Binary Space Partitioning Forests. AISTATS (2020)
Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Zheng Yu, Scott A. Sisson
Recurrent Dirichlet Belief Networks for interpretable Dynamic Relational Data Modelling. IJCAI (2020)
Xuhui Fan, Bin Li, Scott A. Sisson
Binary Space Partitioning Forest. AISTATS (2019)
Jinyang Yuan, Bin Li, Xiangyang Xue
Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping. CoRR (2019)
Jinyang Yuan, Bin Li, Xiangyang Xue
Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping. AAAI (2019)
Dingqi Yang, Bin Li, Laura Rettig, Philippe Cudré-Mauroux
2HistoSketch: Discriminative and Dynamic Similarity-Preserving Sketching of Streaming Histograms. IEEE Trans. Knowl. Data Eng. 31 (10) (2019)
Xuhui Fan, Bin Li, Caoyuan Li, Scott Sisson, Ling Chen
Scalable Deep Generative Relational Model with High-Order Node Dependence. NeurIPS (2019)
Jinyang Yuan, Bin Li, Xiangyang Xue
Generative Modeling of Infinite Occluded Objects for Compositional Scene Representation. ICML (2019)
Xuhui Fan, Bin Li, Scott Anthony Sisson
Binary Space Partitioning Forests. CoRR (2019)
Xuhui Fan, Bin Li, Scott Anthony Sisson
Rectangular Bounding Process. CoRR (2019)
Xuhui Fan, Bin Li, Scott Anthony Sisson
The Binary Space Partitioning-Tree Process. CoRR (2019)
Wei Wu, Bin Li, Ling Chen, Chengqi Zhang, Philip S. Yu
Improved Consistent Weighted Sampling Revisited. IEEE Trans. Knowl. Data Eng. 31 (12) (2019)
Yanze Wu, Qiang Sun, Jianqi Ma, Bin Li, Yanwei Fu, Yao Peng, Xiangyang Xue
Question Guided Modular Routing Networks for Visual Question Answering. CoRR (2019)
Dingqi Yang, Paolo Rosso, Bin Li, Philippe Cudré-Mauroux
NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching. KDD (2019)
Xuhui Fan, Bin Li, Scott Anthony Sisson, Caoyuan Li, Ling Chen
Scalable Deep Generative Relational Models with High-Order Node Dependence. CoRR (2019)
Jianjia Zhang, Bin Li, Xuhui Fan, Yang Wang, Fang Chen
Corrosion Prediction on Sewer Networks with Sparse Monitoring Sites: A Case Study. PAKDD (1) (2018)
Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang
A Review for Weighted MinHash Algorithms. CoRR (2018)
Xuhui Fan, Bin Li, Scott Sisson
The Binary Space Partitioning-Tree Process. AISTATS (2018)
Wei Wu, Bin Li, Ling Chen, Chengqi Zhang
Efficient Attributed Network Embedding via Recursive Randomized Hashing. IJCAI (2018)
Wei Wu, Bin Li, Ling Chen, Xingquan Zhu, Chengqi Zhang
K-Ary Tree Hashing for Fast Graph Classification. IEEE Trans. Knowl. Data Eng. 30 (5) (2018)
Xuhui Fan, Bin Li, Scott Sisson
Rectangular Bounding Process. NeurIPS (2018)
Lianhua Chi, Bin Li, Xingquan Zhu, Shirui Pan, Ling Chen
Hashing for Adaptive Real-Time Graph Stream Classification With Concept Drifts. IEEE Trans. Cybern. 48 (5) (2018)
Ling Luo, Bin Li, Shlomo Berkovsky, Irena Koprinska, Fang Chen
Online Engagement for a Healthier You: A Case Study of Web-based Supermarket Health Program. WWW (Companion Volume) (2017)
Wei Wu, Bin Li, Ling Chen, Chengqi Zhang, Philip S. Yu
Improved Consistent Weighted Sampling Revisited. CoRR (2017)
Wei Wu, Bin Li, Ling Chen, Chengqi Zhang
Consistent Weighted Sampling Made More Practical. WWW (2017)
Ling Luo, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen
Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process. IJCAI (2017)
Dingqi Yang, Bin Li, Laura Rettig, Philippe Cudré-Mauroux
HistoSketch: Fast Similarity-Preserving Sketching of Streaming Histograms with Concept Drift. ICDM (2017)
Wei Wu, Bin Li, Ling Chen, Chengqi Zhang
Canonical Consistent Weighted Sampling for Real-Value Weighted Min-Hash. ICDM (2016)
Ling Luo, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen
Discovering Temporal Purchase Patterns with Different Responses to Promotions. CIKM (2016)
Yi Wang, Bin Li, Yang Wang, Fang Chen, Bang Zhang, Zhidong Li
Robust Bayesian non-parametric dictionary learning with heterogeneous Gaussian noise. Comput. Vis. Image Underst. 150 (2016)
Xuhui Fan, Bin Li, Yi Wang, Yang Wang, Fang Chen
The Ostomachion Process. AAAI (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bin Li