Jun Wang

Orcid: 0000-0003-2787-8932

Affiliations:
  • East China Normal University, Shanghai, China
  • Alibaba Research, China (former)
  • IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA (2010 - 2014)
  • Columbia University, New York (PhD 2011)


According to our database1, Jun Wang authored at least 87 papers between 2007 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Contrastive Personalized Exercise Recommendation With Reinforcement Learning.
IEEE Trans. Learn. Technol., 2024

2023
Conditional pseudo-supervised contrast for data-Free knowledge distillation.
Pattern Recognit., November, 2023

Dynamic Token-Pass Transformers for Semantic Segmentation.
CoRR, 2023

Negotiated Reasoning: On Provably Addressing Relative Over-Generalization.
CoRR, 2023

Quantize Sequential Recommenders Without Private Data.
Proceedings of the ACM Web Conference 2023, 2023

Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning.
Proceedings of the ACM Web Conference 2023, 2023

Self-Decoupling and Ensemble Distillation for Efficient Segmentation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Learning to schedule multi-NUMA virtual machines via reinforcement learning.
Pattern Recognit., 2022

Obtaining Dyadic Fairness by Optimal Transport.
CoRR, 2022

Learning structured communication for multi-agent reinforcement learning.
Auton. Agents Multi Agent Syst., 2022

Multi-Knowledge Aggregation and Transfer for Semantic Segmentation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Parallel pathway dense neural network with weighted fusion structure for brain tumor segmentation.
Neurocomputing, 2021

Data-Free Knowledge Transfer: A Survey.
CoRR, 2021

Defense against Adversarial Attacks with an Induced Class.
Proceedings of the International Joint Conference on Neural Networks, 2021

Zero-Shot Adversarial Quantization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Source-Free Domain Adaptation for Semantic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Extracting and Predicting Taxi Hotspots in Spatiotemporal Dimensions Using Conditional Generative Adversarial Neural Networks.
IEEE Trans. Veh. Technol., 2020

Adaptive multi-teacher multi-level knowledge distillation.
Neurocomputing, 2020

Learning from a Lightweight Teacher for Efficient Knowledge Distillation.
CoRR, 2020

VSB2-Net: Visual-Semantic Bi-Branch Network for Zero-Shot Hashing.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Scaling Up Kernel SVM on Limited Resources: A Low-Rank Linearization Approach.
IEEE Trans. Neural Networks Learn. Syst., 2019

False positive rate control for positive unlabeled learning.
Neurocomputing, 2019

The Kelly Growth Optimal Portfolio with Ensemble Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Legislative Prediction with Political and Social Network Analysis.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Multiple graph regularized graph transduction via greedy gradient Max-Cut.
Inf. Sci., 2018

tau-FPL: Tolerance-Constrained Learning in Linear Time.
CoRR, 2018

User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Learning Sequential Correlation for User Generated Textual Content Popularity Prediction.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Factorization Meets Memory Network: Learning to Predict Activity Popularity.
Proceedings of the Database Systems for Advanced Applications, 2018

Hybrid Deep Sequential Modeling for Social Text-Driven Stock Prediction.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Tau-FPL: Tolerance-Constrained Learning in Linear Time.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Low-rank decomposition meets kernel learning: A generalized Nyström method.
Artif. Intell., 2017

Glioma grading based on 3D multimodal convolutional neural network and privileged learning.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Boosting Alzheimer diagnosis accuracy with the help of incomplete privileged information.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Learning to Hash for Indexing Big Data - A Survey.
Proc. IEEE, 2016

Multiple task learning with flexible structure regularization.
Neurocomputing, 2016

A Bayesian Hashing approach and its application to face recognition.
Neurocomputing, 2016

2015
Discriminative Structured Feature Engineering for Macroscale Brain Connectomes.
IEEE Trans. Medical Imaging, 2015

Fusing Multi-Stream Deep Networks for Video Classification.
CoRR, 2015

Deep Attributes from Context-Aware Regional Neural Codes.
CoRR, 2015

An Efficient Semi-Supervised Clustering Algorithm with Sequential Constraints.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Non-transitive Hashing with Latent Similarity Components.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Portfolio Choices with Orthogonal Bandit Learning.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Optimal Bayesian Hashing for Efficient Face Recognition.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Probabilistic Attributed Hashing.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Legislative Prediction with Political and Social Network Analysis.
Encyclopedia of Social Network Analysis and Mining, 2014

Self-Taught Spectral Clustering via Constraint Augmentation.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Exploring Inter-feature and Inter-class Relationships with Deep Neural Networks for Video Classification.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Predicting employee expertise for talent management in the enterprise.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data.
Proceedings of the 31th International Conference on Machine Learning, 2014

From Low-Cost Depth Sensors to CAD: Cross-Domain 3D Shape Retrieval via Regression Tree Fields.
Proceedings of the Computer Vision - ECCV 2014, 2014

Which Looks Like Which: Exploring Inter-class Relationships in Fine-Grained Visual Categorization.
Proceedings of the Computer Vision - ECCV 2014, 2014

2013
Query-Adaptive Image Search With Hash Codes.
IEEE Trans. Multim., 2013

Semi-supervised learning using greedy max-cut.
J. Mach. Learn. Res., 2013

Flavor Pairing in Medieval European Cuisine: A Study in Cooking with Dirty Data.
CoRR, 2013

Comparing apples to oranges: a scalable solution with heterogeneous hashing.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Multiple Task Learning Using Iteratively Reweighted Least Square.
Proceedings of the IJCAI 2013, 2013

Exploring Patient Risk Groups with Incomplete Knowledge.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Quantifying and Recommending Expertise When New Skills Emerge.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Large-Scale Video Hashing via Structure Learning.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Learning Hash Codes with Listwise Supervision.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Fast Semantic Diffusion for Large-Scale Context-Based Image and Video Annotation.
IEEE Trans. Image Process., 2012

Robust and Scalable Graph-Based Semisupervised Learning.
Proc. IEEE, 2012

Semi-Supervised Hashing for Large-Scale Search.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Decision trees for heterogeneous dose-response signal analysis.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Does selection bias blind performance diagnostics of business decision models? A case study in salesforce optimization.
Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, 2012

Legislative Prediction via Random Walks over a Heterogeneous Graph.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Compact Hyperplane Hashing with Bilinear Functions.
Proceedings of the 29th International Conference on Machine Learning, 2012

An Analytics Approach for Proactively Combating Voluntary Attrition of Employees.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Supervised hashing with kernels.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Semi-Supervised Learning for Scalable and Robust Visual Search.
PhD thesis, 2011

Lost in binarization: query-adaptive ranking for similar image search with compact codes.
Proceedings of the 1st International Conference on Multimedia Retrieval, 2011

Hashing with Graphs.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
Cortically-Coupled Computer Vision.
Proceedings of the Brain-Computer Interfaces, 2010

In a Blink of an Eye and a Switch of a Transistor: Cortically Coupled Computer Vision.
Proc. IEEE, 2010

Sequential Projection Learning for Hashing with Compact Codes.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Semi-supervised hashing for scalable image retrieval.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
An image score inference system for RNAi genome-wide screening based on fuzzy mixture regression modeling.
J. Biomed. Informatics, 2009

VIREO/DVMM at TRECVID 2009: High-Level Feature Extraction, Automatic Video Search, and Content-Based Copy Detection.
Proceedings of the TRECVID 2009 workshop participants notebook papers, 2009

Brain state decoding for rapid image retrieval.
Proceedings of the 17th International Conference on Multimedia 2009, 2009

Graph construction and <i>b</i>-matching for semi-supervised learning.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Domain adaptive semantic diffusion for large scale context-based video annotation.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Label diagnosis through self tuning forweb image search.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Graph transduction via alternating minimization.
Proceedings of the Machine Learning, 2008

Active microscopic cellular image annotation by superposable graph transduction with imbalanced labels.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Dynamic Local Tracing for 3d Axon Curvilinear Structure Detection from Microscopic Image Stack.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007


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