- Name* indicates student under my supervision when doing the work
- Publications sorted by selected research topics can be found here
2024
Fan Shi*, Bin Li, Xiangyang Xue,
Towards Generative Abstract Reasoning: Completing Raven’s Progressive Matrix via Rule Abstraction and Selection,
Proceedings of the 12th International Conference on Learning Representations (ICLR-24), 2024.
Zhiyu Jin*, Xuli Shen*, Bin Li, Xiangyang Xue,
Style Spectroscope: Improve Interpretability and Controllability Through Fourier Analysis,
Machine Learning (MLJ), in press.
Tonglin Chen*, Zhimeng Shen*, Bin Li, Xiangyang Xue,
Compositional Scene Modeling with Global Object-Centric Representations,
Machine Learning (MLJ), in press.
Haiyang Yu*, Jingye Chen*, Bin Li, Xiangyang Xue,
Chinese Character Recognition with Radical-Structured Stroke Trees,
Machine Learning (MLJ), in press.
Wei Wu, Bin Li, Chuan Luo, Wolfgang Nejdl, Xuan Tan,
MPSketch: Message Passing Networks via Randomized Hashing for Efficient Attributed Network Embedding,
IEEE Transactions on Cybernetics (IEEE TCYB), 54(5):2941-2954, 2024.
Jinyang Yuan*, Tonglin Chen*, Zhimeng Shen*, Bin Li, Xiangyang Xue,
Unsupervised Object-Centric Learning from Multiple Unspecified Viewpoints,
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 46(5):3897-3909, 2024.
Mingzhao Yang*, Shangchao Su*, Bin Li, Xiangyang Xue,
Exploring One-Shot Semi-supervised Federated Learning with Pre-trained Diffusion Models,
Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI-24), pp.16325-16333, 2024.
Shangchao Su*, Mingzhao Yang*, Bin Li, Xiangyang Xue,
Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning,
Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI-24), pp.15117-15125, 2024.
2023
Zhiyu Jin*, Xuli Shen*, Bin Li, Xiangyang Xue,
Training-free Diffusion Model Adaptation for Variable-Sized Text-to-Image Synthesis,
Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS-23), pp.70847-70860, 2023.
Teng Fu*, Xiaocong Wang*, Haiyang Yu*, Ke Niu*, Bin Li, Xiangyang Xue,
DeNoising-MOT: Towards Multiple Object Tracking with Severe Occlussions,
Proceedings of the 31st ACM International Conference on Multimedia (MM-23), pp.2734–2743, 2023.
Xinyan Zu*, Haiyang Yu*, Bin Li, Xiangyang Xue,
Weakly-Supervised Text Instance Segmentation,
Proceedings of the 31st ACM International Conference on Multimedia (MM-23), pp.1915–1923, 2023.
Haiyang Yu*, Xiaocong Wang*, Ke Niu*, Bin Li, Xiangyang Xue,
Scene Text Segmentation with Text-Focused Transformers,
Proceedings of the 31st ACM International Conference on Multimedia (MM-23), pp.2898–2907, 2023.
Haiyang Yu*, Xiaocong Wang*, Bin Li, Xiangyang Xue,
Chinese Text Recognition with A Pre-Trained CLIP-Like Model Through Image-IDS Aligning,
Proceedings of IEEE/CVF International Conference on Computer Vision (ICCV-23), pp.11943-11952, 2023. Oral
Jinyang Yuan*, Tonglin Chen*, Bin Li, Xiangyang Xue,
Compositional Scene Representation Learning via Reconstruction: A Survey,
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 45(10):11540-11560, 2023.
Haiyang Yu*, Xiaocong Wang*, Bin Li, Xiangyang Xue,
Orientation-Independent Chinese Text Recognition in Scene Images,
Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI-23), pp.1667-1675, 2023.
Xinyan Zu*, Haiyang Yu*, Bin Li, Xiangyang Xue,
Towards Accurate Video Text Spotting with Text-wise Semantic Reasoning,
Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI-23), pp.1858-1866, 2023.
Chengmin Gao*, Bin Li,
Time-Conditioned Generative Modeling of Object-Centric Representations for Video Decomposition and Prediction,
Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence (UAI-23), pp.613-623, 2023.
Xiaocong Wang*, Chaoyue Wu*, Haiyang Yu*, Bin Li, Xiangyang Xue,
TextFormer: Component-aware Text Segmentation with Transformer,
Proceedings of IEEE International Conference on Multimedia and Expo (ICME-23), pp.1877-1882, 2023.
Shangchao Su*, Bin Li, Chengzhi Zhang*, Mingzhao Yang*, Xiangyang Xue,
Cross-domain Federated Object Detection,
Proceedings of IEEE International Conference on Multimedia and Expo (ICME-23), pp.1469-1474, 2023.
Shangchao Su*, Bin Li, Xiangyang Xue,
One-shot Federated Learning without Server-side Training,
Neural Networks (NNJ), 164:203-215, 2023.
Fan Shi*, Bin Li, Xiangyang Xue,
Compositional Law Parsing with Latent Random Functions,
Proceedings of the 11th International Conference on Learning Representations (ICLR-23), 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 Transactions on Intelligent Vehicles (IEEE TIV), 8(2):1473-1483, 2023.
Xuhui Fan, Yaqiong Li, Ling Chen, Bin Li, Scott A. Sisson,
Hawkes Processes with Stochastic Exogenous Effects for Continuous-Time Interaction Modelling,
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 45(2):1848-1861, 2023.
Ling Luo, Bin Li, Xuhui Fan, Yang Wang, Irena Koprinska, Fang Chen,
Dynamic Customer Segmentation via Hierarchical Fragmentation‑Coagulation Processes,
Machine Learning (MLJ), 112(1):281-310, 2023.
2022
Xinyan Zu*, Haiyang Yu*, Bin Li, Xiangyang Xue,
Chinese Character Recognition with Augmented Character Profile Matching,
Proceedings of the 30th ACM International Conference on Multimedia (MM-22), pp.6094–6102, 2022.
Jingye Chen*, Haiyang Yu*, Jianqi Ma, Bin Li, Xiangyang Xue,
Text Gestalt: Stroke-Aware Scene Text Image Super-Resolution,
Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI-22), pp.285-293, 2022.
Jinyang Yuan*, Bin Li, Xiangyang Xue,
Unsupervised Learning of Compositional Scene Representations from Multiple Unspecified Viewpoints,
Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI-22), pp.8971-8979, 2022.
Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang,
A Review for Weighted MinHash Algorithms,
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 34(6):2553-2573, 2022.
Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson,
Smoothing Graphons for Modelling Exchangeable Relational Data,
Machine Learning (MLJ), 111(1):319-344, 2022.
Jianjia Zhang, Bin Li, Xuhui Fan, Yang Wang, Fang Chen,
Sewer Corrosion Prediction for Sewer Network Sustainability,
Humanity Driven AI, Book Chapter, pp.181-194, Springer 2022.
2021
Xuhui Fan, Bin Li, Feng Zhou, Scott A. Sisson,
Continuous-Time Edge Modelling using Non-Parametric Point Processes,
Proceedings of the 35th Conference on Neural Information Processing Systems (NeurIPS-21), pp.2319-2330, 2021.
Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Scott A. Sisson,
Decoupling Sparsity and Smoothness in Dirichlet Belief Networks,
Proceedings of the 20th Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD-21), pp.148-163, 2021.
Xuhui Fan, Bin Li, Yaqiong Li, Scott A. Sisson,
Poisson-Randomised DirBNs: Large Mutation is Needed in Dirichlet Belief Networks,
Proceedings of the 38th International Conference on Machine Learning (ICML-21), pp.3068-3077, 2021.
Xuhui Fan, Bin Li, Ling Luo, Scott A. Sisson,
Bayesian Nonparametric Space Partitions: A Survey,
Proceedings of the 30th International Joint Conference on Artificial Intelligence – Survey Track (IJCAI-21), pp.4408-4415, 2021.
Jingye Chen*, Bin Li, Xiangyang Xue,
Zero-Shot Chinese Character Recognition with Stroke-Level Decomposition,
Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI-21), pp.615-621, 2021.
Jingye Chen*, Bin Li, Xiangyang Xue,
Scene Text Telescope: Text-Focused Scene Image Super-Resolution,
Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR-21), pp.12026-12035, 2021.
Wei Wu, Bin Li, Chuan Luo, Wolfgang Nejdl,
Hashing-Accelerated Graph Neural Networks for Link Prediction,
Proceedings of the 30th Web Conference (WWW-21), pp.2910–2920, 2021.
Fan Shi*, Bin Li, Xiangyang Xue,
Raven’s Progressive Matrices Completion with Latent Gaussian Process Priors,
Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI-21), pp.9612-9620, 2021.
Jinyang Yuan*, Bin Li, Xiangyang Xue,
Knowledge-Guided Object Discovery with Acquired Deep Impressions,
Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI-21), pp.10798-10806, 2021.
2020
Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Zheng Yu, Scott A. Sisson,
Recurrent Dirichlet Belief Networks for Interpretable Dynamic Relational Data Modelling,
Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI-20), pp.2470-2476, 2020.
Xuhui Fan, Bin Li, Scott A. Sisson,
Online Binary Space Partitioning Forests,
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS-20), pp.527-537, 2020.
2019
Xuhui Fan, Bin Li, Scott A. Sisson, Caoyuan Li, Ling Chen,
Scalable Deep Generative Relational Models with High-Order Node Dependence,
Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS-19), pp.12637-12647, 2019.
Dingqi Yang, Paolo Rosso, Bin Li, Philippe Cudré-Mauroux,
NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching,
Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-19), pp.1162-1172, 2019.
Jinyang Yuan*, Bin Li, Xiangyang Xue,
Generative Modeling of Infinite Occluded Objects for Compositional Scene Representation,
Proceedings of the 36th International Conference on Machine Learning (ICML-19), pp.7222-7231, 2019.
Xuhui Fan, Bin Li, Scott A. Sisson,
Binary Space Partitioning Forests,
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS-19), pp.3022-3031, 2019.
Jinyang Yuan*, Bin Li, Xiangyang Xue,
Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping,
Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-19), pp.9135-9142, 2019.
Wei Wu*, Bin Li, Ling Chen, Chengqi Zhang, Philip S. Yu,
Improved Consistent Weighted Sampling Revisited,
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 31(12):2332-2345, 2019.
Dingqi Yang, Bin Li, Laura Rettig, Philippe Cudré-Mauroux,
D2HistoSketch: Discriminative and Dynamic Similarity-Preserving Sketching of Streaming Histograms,
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 31(10):1898-1911, 2019.
2018
Xuhui Fan*, Bin Li, Scott A. Sisson,
Rectangular Bounding Process,
Proceedings of the 32nd Conference on Neural Information Processing Systems (NeurIPS-18), pp.7631-7641, 2018.
Wei Wu*, Bin Li, Ling Chen, Chengqi Zhang,
Efficient Attributed Network Embedding via Recursive Randomized Hashing,
Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI-18), pp.2861-2867, 2018.
Jianjia Zhang, Bin Li, Xuhui Fan, Yang Wang, Fang Chen,
Corrosion Prediction on Sewer Networks with Sparse Monitoring Sites: A Case Study,
Proceedings of the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-18), pp.223-235, 2018.
Xuhui Fan*, Bin Li, Scott A. Sisson,
The Binary Space Partitioning-Tree Process,
Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS-18), pp.1859-1867, 2018.
Wei Wu*, Bin Li, Ling Chen, Xingquan Zhu, Chengqi Zhang,
$K$-Ary Tree Hashing for Fast Graph Classification,
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 30(5):936-949, 2018.
Lianhua Chi*, Bin Li, Xingquan Zhu, Shirui Pan, Ling Chen,
Hashing for Adaptive Real-time Graph Stream Classification with Concept Drifts,
IEEE Transactions on Cybernetics (IEEE TCYB), 48(5):1591-1604, 2018.
2017
Dingqi Yang, Bin Li, Laura Rettig, Philippe Cudré-Mauroux,
HistoSketch: Fast Similarity-Preserving Sketching of Streaming Histograms with Concept Drift,
Proceedings of the IEEE International Conference on Data Mining (ICDM-17), pp.545-554, 2017.
Ling Luo*, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen,
Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process,
Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI-17), pp.2414-2420, 2017. [news]
Bin Li, Xuhui Fan, Jianjia Zhang, Yang Wang, Fang Chen, Sarath Kodagoda, Tony Wells, Louisa Vorreiter, Dammika Vitanage, Gino Iori, Derek Cunningham, Tiffany Chen,
Predictive Analytics Toolkit for H2S Estimation and Sewer Corrosion,
Proceedings of the Australia’s International Water Conference & Exhibition (OzWater-17), 2017. Featured in Water Journal: Current [link]
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,
Proceedings of the 26th International Conference on World Wide Web Companion, pp.1053-1061, 2017.
Wei Wu*, Bin Li, Ling Chen, Chengqi Zhang,
Consistent Weighted Sampling Made More Practical,
Proceedings of the 26th International Conference on World Wide Web (WWW-17), pp.1035-1043, 2017.
2016
Wei Wu*, Bin Li, Ling Chen, Chengqi Zhang,
Canonical Consistent Weighted Sampling for Real-Value Weighted Min-Hash,
Proceedings of the IEEE 16th International Conference on Data Mining (ICDM-16), pp.1287-1292, 2016.
Ling Luo*, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen,
Discovering Temporal Purchase Patterns with Different Responses to Promotions,
Proceedings of the 25th ACM International Conference on Information and Knowledge Management (CIKM-16), pp.2197-2202, 2016.
Yi Wang*, Bin Li, Yang Wang, Fang Chen, Bang Zhang, Zhidong Li,
Robust Bayesian Non-parametric Dictionary Learning with Heterogeneous Gaussian Noise,
Computer Vision and Image Understanding (CVIU), 150(9):31-43, 2016.
Dingqi Yang, Bin Li, Philippe Cudré-Mauroux,
POIsketch: Semantic Place Labeling over User Activity Streams,
Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI-16), pp.2697-2703, 2016.
Yi Wang*, Bin Li, Xuhui Fan*, Yang Wang, Fang Chen,
Bayesian Optimization of Partition Layouts for Mondrian Processes,
Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI-16), pp.2160-2166, 2016.
Ling Luo*, Bin Li, Shlomo Berkovsky, Irena Koprinska, Fang Chen,
Who will be Affected by Supermarket Health Programs? Tracking Customer Behavior Changes via Preference Modeling,
Proceedings of the 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-16), pp.527-539, 2016.
Wei Wu*, Bin Li, Ling Chen, Chengqi Zhang,
Cross-View Feature Hashing for Image Retrieval,
Proceedings of the 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-16), pp.203-214, 2016.
Bin Li, Xuhui Fan, YangWang, Fang Chen, Frank Spaninks,
Data-Driven Customer Segmentation for Water Demand Analysis,
Proceedings of the Australia’s International Water Conference & Exhibition (OzWater-16), 2016.
Xuhui Fan*, Bin Li, Yi Wang*, Yang Wang, Fang Chen,
The Ostomachion Process,
Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI-16), pp.1547-1553, 2016.
2015
Bin Li, Bang Zhang, Zhidong Li, Yang Wang, Fang Chen, David Zhang, Dammika Vitanage,
Multi-level Data Analytics for Risk Water Pipe Selection,
Proceedings of the IWA Leading-Edge Conference on Strategic Asset Management (LESAM-15), 2015.
Peng Lin, Bang Zhang, Yi Wang, Zhidong Li, Bin Li, Yang Wang, Fang Chen,
Data Driven Water Pipe Failure Prediction: A Bayesian Nonparametric Approach,
Proceedings of the 24th ACM International on Conference on Information and Knowledge Management (CIKM-15), pp.193-202, 2015.
Yi Wang*, Bin Li, Yang Wang, Fang Chen,
Metadata Dependent Mondrian Processes,
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), pp.1339-1347, 2015.
Bin Li, Bang Zhang, Zhidong Li, Yang Wang, Fang Chen, Dammika Vitanage,
Prioritising Water Pipes for Condition Assessment with Data Analytics,
Proceedings of the Australia’s International Water Conference & Exhibition (OzWater-15), 2015.
Bin Li, Xingquan Zhu, Ruijiang Li*, Chengqi Zhang,
Rating Knowledge Sharing in Cross-Domain Collaborative Filtering,
IEEE Transactions on Cybernetics (IEEE TCYB), 45(5):1054-1068, 2015.
Daqing Zhang, Lin Sun, Bin Li, Chao Chen, Gang Pan, Shijian Li, Zhaohui Wu,
Understanding Taxi Service Strategies from Taxi GPS Traces,
IEEE Transactions on Intelligent Transportation Systems (IEEE TITS), 16(1):123-135, 2015.
2014
Lianhua Chi*, Bin Li, Xingquan Zhu,
Context-Preserving Hashing for Fast Text Classification,
Proceedings of the 14th SIAM International Conference on Data Mining (SDM-14), pp.100-108, 2014.
Yifan Fu*, Bin Li, Xingquan Zhu, Chengqi Zhang,
Active Learning without Knowing Individual Instance Labels: A Pairwise Label Homogeneity Query Approach,
IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 26(4):808-822, 2014.
2013
Lianhua Chi*, Bin Li, Xingquan Zhu,
Fast Graph Stream Classification Using Discriminative Clique Hashing,
Proceedings of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-13), pp.225-236, 2013. Best Paper Award
Bin Li, Ling Chen, Xingquan Zhu, Chengqi Zhang,
Noisy but Non-Malicious User Detection in Social Recommender Systems,
World Wide Web (WWWJ), 16(5-6):677-699,2013.
Yifan Fu*, Xingquan Zhu, Bin Li,
A Survey on Instance Selection for Active Learning,
Knowledge and Information Systems (KAIS), 35(2):249-283, 2013.
2012
Meng Fang, Xingquan Zhu, Bin Li, Wei Ding, Xindong Wu,
Self-Taught Active Learning from Crowds,
Proceedings of the IEEE 12th International Conference on Data Mining (ICDM-12), pp.858-863, 2012.
Bin Li, Xingquan Zhu, Lianhua Chi*, Chengqi Zhang,
Nested Subtree Hash Kernels for Large-scale Graph Classification over Streams,
Proceedings of the IEEE 12th International Conference on Data Mining (ICDM-12), pp.399-408, 2012.
Ruijiang Li*, Bin Li, Ke Zhang, Cheng Jin, Xiangyang Xue,
Groupwise Constrained Reconstruction for Subspace Clustering,
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 377-384, 2012.
Daqing Zhang, Chao Chen, Zhangbing Zhou, Bin Li,
Identifying Logical Location via GPS-Enabled Mobile Phone and Wearable Camera,
International Journal of Pattern Recognition and Artificial Intelligence, 26(8):1-23, 2012.
2011
Bin Li,
Cross-Domain Collaborative Filtering: A Brief Survey,
Proceedings of the 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI-11), pp.1085-1086, 2011.
Yifan Fu*, Bin Li, Xingquan Zhu, Chengqi Zhang,
Do They Belong to the Same Class: Active Learning by Querying Pairwise Label Homogeneity,
Proceedings of the 20th ACM International Conference on Information and Knowledge Management (CIKM-11), pp.2161-2164, 2011.
Bin Li, Xingquan Zhu, Ruijiang Li*, Chengqi Zhang, Xiangyang Xue, XindongWu,
Cross-Domain Collaborative Filtering over Time,
Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI-11), pp.2293-2298, 2011.
Ruijiang Li*, Bin Li, Cheng Jin, Xiangyang Xue, Xingquan Zhu,
Tracking User-Preference Varying Speed in Collaborative Filtering,
Proceedings of the 25th AAAI Conference on Artificial Intelligence (AAAI-11), pp.133-138, 2011.
Bin Li, Daqing Zhang, Lin Sun, Chao Chen, Shijian Li, Guande Qi, Qiang Yang,
Hunting or Waiting? Discovering Passenger-Finding Strategies from a Large-scale Real-world Taxi Dataset,
Proceedings of the IEEE PerCom Workshop on Managing Ubiquitous Communications and Services (MUCS-11), pp.63-68, 2011. Featured in IEEE Spectrum [link]
Qiang Yang, Vincent W. Zheng, Bin Li, Hankz H. Zhuo,
Transfer Learning by Reusing Structured Knowledge,
AI Magazine, 32(2):95-106, 2011.
Xingquan Zhu, Bin Li, XindongWu, Dan He, Chengqi Zhang,
CLAP: Collaborative Pattern Mining for Distributed Information Systems,
Decision Support Systems (DSS), 52(1):40-51, 2011.
李斌，朱兴全，杨强，
协同过滤与链接预测的迁移学习问题，
机器学习及其应用2011（周志华、杨强主编），第三章，清华大学出版社。
2010
Lin Sun, Daqing Zhang, Bin Li, Bin Guo, Shijian Li,
Activity Recognition on an Accelerometer Embedded Mobile Phone with Varying Positions and Orientations,
Proceedings of the 7th International Conference on Ubiquitous Intelligence and Computing (UIC-10), pp.548-562, 2010.
Daqing Zhang, Bin Guo, Bin Li, Zhiwen Yu,
Extracting Social and Community Intelligence from Digital Footprints: An Emerging Research Area,
Proceedings of the 7th International Conference on Ubiquitous Intelligence and Computing (UIC-10), pp.4-18, 2010.
Shile Zhang, Bin Li, Xiangyang Xue,
Semi-Automatic Dynamic Auxiliary-Tag-Aided Image Annotation,
Pattern Recognition (PRJ), 43(2):470-477, 2010.
2009 and before
李斌，
概率混合模型的研究及其应用，
博士学位论文，复旦大学，2009。中国计算机学会优秀博士学位论文提名奖
Bin Li, Qiang Yang, Xiangyang Xue,
Transfer Learning for Collaborative Filtering via a Rating-Matrix Generative Model,
Proceedings of the 26th International Conference on Machine Learning (ICML-09), pp.617-624, 2009.
Bin Li, Qiang Yang, Xiangyang Xue,
Can Movies and Books Collaborate? Cross-Domain Collaborative Filtering for Sparsity Reduction,
Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI-09), pp.2052-2057, 2009.
Zhenyuan Zhang, Bin Li, Hong Lu, Xiangyang Xue,
Scene Segmentation based on Video Structure and Spectral Methods,
Proceedings of the 10th International Conference on Control, Automation, Robotics and Vision (ICARCV-08), pp.1093-1096, 2008.
Bin Li, Xiangyang Xue, Jianping Fan,
A Robust Incremental Learning Framework for Accurate Skin Region Segmentation in Color Images,
Pattern Recognition (PRJ), 40(12):3621-3632, 2007.
Bin Li, Mingmin Chi, Jianping Fan, Xiangyang Xue,
Support Cluster Machine,
Proceedings of the 24th International Conference on Machine Learning (ICML-07), pp.505-512, 2007.
Yuan Xu, Bin Li, Xiangyang Xue, Hong Lu,
Region-based Pornographic Image Detection,
Proceedings of the IEEE 7th Workshop on Multimedia Signal Processing (MMSP-05), 2005.