Bin Li

Orcid: 0000-0002-9633-0033

Affiliations:
  • Fudan University, School of Computer Science, Shanghai, China
  • University of Technology Sydney, Broadway, NSW, Australia (former)
  • CSIRO, Data61, Eveleigh, NSW, Australia (former)
  • Fudan University, School of Computer Science, Shanghai, China (PhD)


According to our database1, Bin Li authored at least 117 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Unsupervised Object-Centric Learning From Multiple Unspecified Viewpoints.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Towards Generative Abstract Reasoning: Completing Raven's Progressive Matrix via Rule Abstraction and Selection.
CoRR, 2024

Exploring One-Shot Semi-supervised Federated Learning with Pre-trained Diffusion Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Compositional Scene Representation Learning via Reconstruction: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

One-shot Federated Learning without server-side training.
Neural Networks, July, 2023

Location-Guided LiDAR-Based Panoptic Segmentation for Autonomous Driving.
IEEE Trans. Intell. Veh., February, 2023

Dynamic customer segmentation via hierarchical fragmentation-coagulation processes.
Mach. Learn., January, 2023

Hawkes Processes With Stochastic Exogenous Effects for Continuous-Time Interaction Modelling.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients.
CoRR, 2023

One-Shot Federated Learning with Classifier-Guided Diffusion Models.
CoRR, 2023

Rethinking Person Re-identification from a Projection-on-Prototypes Perspective.
CoRR, 2023

Exploring Fine-Grained Representation and Recomposition for Cloth-Changing Person Re-Identification.
CoRR, 2023

Abstracting Concept-Changing Rules for Solving Raven's Progressive Matrix Problems.
CoRR, 2023

OCTScenes: A Versatile Real-World Dataset of Tabletop Scenes for Object-Centric Learning.
CoRR, 2023

Privacy-Preserving Collaborative Chinese Text Recognition with Federated Learning.
CoRR, 2023

Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion Model.
CoRR, 2023

Uncertainty-aware U-Net for Medical Landmark Detection.
CoRR, 2023

Time-Conditioned Generative Modeling of Object-Centric Representations for Video Decomposition and Prediction.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Training-free Diffusion Model Adaptation for Variable-Sized Text-to-Image Synthesis.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Weakly-Supervised Text Instance Segmentation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Scene Text Segmentation with Text-Focused Transformers.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

DeNoising-MOT: Towards Multiple Object Tracking with Severe Occlusions.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Towards Accurate Video Text Spotting with Text-wise Semantic Reasoning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Orientation-Independent Chinese Text Recognition in Scene Images.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

TextFormer: Component-aware Text Segmentation with Transformer.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Cross-domain Federated Object Detection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Compositional Law Parsing with Latent Random Functions.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Review for Weighted MinHash Algorithms (Extended abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Chinese Text Recognition with A Pre-Trained CLIP-Like Model Through Image-IDS Aligning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
A Review for Weighted MinHash Algorithms.
IEEE Trans. Knowl. Data Eng., 2022

Smoothing graphons for modelling exchangeable relational data.
Mach. Learn., 2022

Chinese Character Recognition with Radical-Structured Stroke Trees.
CoRR, 2022

Compositional Scene Modeling with Global Object-Centric Representations.
CoRR, 2022

Cross-domain Federated Adaptive Prompt Tuning for CLIP.
CoRR, 2022

Domain Discrepancy Aware Distillation for Model Aggregation in Federated Learning.
CoRR, 2022

Style Spectroscope: Improve Interpretability and Controllability through Fourier Analysis.
CoRR, 2022

Locality Sensitive Hashing for Structured Data: A Survey.
CoRR, 2022

Chinese Character Recognition with Augmented Character Profile Matching.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Unsupervised Learning of Compositional Scene Representations from Multiple Unspecified Viewpoints.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Text Gestalt: Stroke-Aware Scene Text Image Super-resolution.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study.
CoRR, 2021

A Generic Object Re-identification System for Short Videos.
CoRR, 2021

Hashing-Accelerated Graph Neural Networks for Link Prediction.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Decoupling Sparsity and Smoothness in Dirichlet Belief Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Continuous-time edge modelling using non-parametric point processes.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Bayesian Nonparametric Space Partitions: A Survey.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Zero-Shot Chinese Character Recognition with Stroke-Level Decomposition.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Poisson-Randomised DirBN: Large Mutation is Needed in Dirichlet Belief Networks.
Proceedings of the 38th International Conference on Machine Learning, 2021

Scene Text Telescope: Text-Focused Scene Image Super-Resolution.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Knowledge-Guided Object Discovery with Acquired Deep Impressions.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Raven's Progressive Matrices Completion with Latent Gaussian Process Priors.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Recurrent Dirichlet Belief Networks for Interpretable Dynamic Relational Data Modelling.
CoRR, 2020

Recurrent Dirichlet Belief Networks for interpretable Dynamic Relational Data Modelling.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Online Binary Space Partitioning Forests.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
D<sup>2</sup>2HistoSketch: Discriminative and Dynamic Similarity-Preserving Sketching of Streaming Histograms.
IEEE Trans. Knowl. Data Eng., 2019

Improved Consistent Weighted Sampling Revisited.
IEEE Trans. Knowl. Data Eng., 2019

Scalable Deep Generative Relational Models with High-Order Node Dependence.
CoRR, 2019

Question Guided Modular Routing Networks for Visual Question Answering.
CoRR, 2019

Binary Space Partitioning Forests.
CoRR, 2019

Scalable Deep Generative Relational Model with High-Order Node Dependence.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Generative Modeling of Infinite Occluded Objects for Compositional Scene Representation.
Proceedings of the 36th International Conference on Machine Learning, 2019

Binary Space Partitioning Forest.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Spatial Mixture Models with Learnable Deep Priors for Perceptual Grouping.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
K-Ary Tree Hashing for Fast Graph Classification.
IEEE Trans. Knowl. Data Eng., 2018

Hashing for Adaptive Real-Time Graph Stream Classification With Concept Drifts.
IEEE Trans. Cybern., 2018

Corrosion Prediction on Sewer Networks with Sparse Monitoring Sites: A Case Study.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Rectangular Bounding Process.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Efficient Attributed Network Embedding via Recursive Randomized Hashing.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

The Binary Space Partitioning-Tree Process.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Consistent Weighted Sampling Made More Practical.
Proceedings of the 26th International Conference on World Wide Web, 2017

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, 2017

Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

HistoSketch: Fast Similarity-Preserving Sketching of Streaming Histograms with Concept Drift.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016
Robust Bayesian non-parametric dictionary learning with heterogeneous Gaussian noise.
Comput. Vis. Image Underst., 2016

Stochastic Patching Process.
CoRR, 2016

Cross-View Feature Hashing for Image Retrieval.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Who Will Be Affected by Supermarket Health Programs? Tracking Customer Behavior Changes via Preference Modeling.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

POISketch: Semantic Place Labeling over User Activity Streams.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Bayesian Optimization of Partition Layouts for Mondrian Processes.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Canonical Consistent Weighted Sampling for Real-Value Weighted Min-Hash.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Discovering Temporal Purchase Patterns with Different Responses to Promotions.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

The Ostomachion Process.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Understanding Taxi Service Strategies From Taxi GPS Traces.
IEEE Trans. Intell. Transp. Syst., 2015

Rating Knowledge Sharing in Cross-Domain Collaborative Filtering.
IEEE Trans. Cybern., 2015

Metadata Dependent Mondrian Processes.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Data Driven Water Pipe Failure Prediction: A Bayesian Nonparametric Approach.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Active Learning without Knowing Individual Instance Labels: A Pairwise Label Homogeneity Query Approach.
IEEE Trans. Knowl. Data Eng., 2014

Context-Preserving Hashing for Fast Text Classification.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

2013
Noisy but non-malicious user detection in social recommender systems.
World Wide Web, 2013

A survey on instance selection for active learning.
Knowl. Inf. Syst., 2013

Fast Graph Stream Classification Using Discriminative Clique Hashing.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

2012
Identifying Logical Location via GPS-Enabled Mobile phone and Wearable Camera.
Int. J. Pattern Recognit. Artif. Intell., 2012

Groupwise Constrained Reconstruction for Subspace Clustering
CoRR, 2012

Groupwise Constrained Reconstruction for Subspace Clustering.
Proceedings of the 29th International Conference on Machine Learning, 2012

Nested Subtree Hash Kernels for Large-Scale Graph Classification over Streams.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Self-Taught Active Learning from Crowds.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011
CLAP: Collaborative pattern mining for distributed information systems.
Decis. Support Syst., 2011

Transfer Learning by Reusing Structured Knowledge.
AI Mag., 2011

Hunting or waiting? Discovering passenger-finding strategies from a large-scale real-world taxi dataset.
Proceedings of the Ninth Annual IEEE International Conference on Pervasive Computing and Communications, 2011

Cross-Domain Collaborative Filtering over Time.
Proceedings of the IJCAI 2011, 2011

Cross-Domain Collaborative Filtering: A Brief Survey.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Do they belong to the same class: active learning by querying pairwise label homogeneity.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Tracking User-Preference Varying Speed in Collaborative Filtering.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Semi-automatic dynamic auxiliary-tag-aided image annotation.
Pattern Recognit., 2010

Extracting Social and Community Intelligence from Digital Footprints: An Emerging Research Area.
Proceedings of the Ubiquitous Intelligence and Computing - 7th International Conference, 2010

Activity Recognition on an Accelerometer Embedded Mobile Phone with Varying Positions and Orientations.
Proceedings of the Ubiquitous Intelligence and Computing - 7th International Conference, 2010

2009
Can Movies and Books Collaborate? Cross-Domain Collaborative Filtering for Sparsity Reduction.
Proceedings of the IJCAI 2009, 2009

Transfer learning for collaborative filtering via a rating-matrix generative model.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
Scene segmentation based on video structure and spectral methods.
Proceedings of the 10th International Conference on Control, 2008

2007
A robust incremental learning framework for accurate skin region segmentation in color images.
Pattern Recognit., 2007

Fudan University at TRECVID 2007.
Proceedings of the TRECVID 2007 workshop participants notebook papers, 2007

Support cluster machine.
Proceedings of the Machine Learning, 2007

2006
Fudan University at TRECVID 2006.
Proceedings of the 2006 TREC Video Retrieval Evaluation, 2006

2005
Fudan University at TRECVID 2005.
Proceedings of the 2005 TREC Video Retrieval Evaluation, 2005

Region-based Pornographic Image Detection.
Proceedings of the IEEE 7th Workshop on Multimedia Signal Processing, 2005


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