Jun Wang

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 26

Top Topics

Semantic Segmentation

Multiple Task Learning

Optimal Portfolio

Video Classification

Top Venues

Publications

Siyu Wu, Jun Wang, Wei Zhang
Contrastive Personalized Exercise Recommendation With Reinforcement Learning. IEEE Trans. Learn. Technol. 17 (2024)
Cong Xu, Jun Wang, Wei Zhang
StableGCN: Decoupling and Reconciling Information Propagation for Collaborative Filtering. IEEE Trans. Knowl. Data Eng. 36 (6) (2024)
Yuang Liu, Qiang Zhou, Jing Wang, Zhibin Wang, Fan Wang, Jun Wang, Wei Zhang
Dynamic Token-Pass Transformers for Semantic Segmentation. WACV (2024)
Yuang Liu, Jing Wang, Qiang Zhou, Fan Wang, Jun Wang, Wei Zhang
DMT: Comprehensive Distillation with Multiple Self-Supervised Teachers. ICASSP (2024)
Zihan Liao, Hang Yu, Jianguo Li, Jun Wang, Wei Zhang
D2LLM: Decomposed and Distilled Large Language Models for Semantic Search. CoRR (2024)
Zhiyuan Wang, Wei Zhang, Jun Wang
Estimating Difficulty Levels of Programming Problems with Pre-trained Model. CoRR (2024)
Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha
Learning structured communication for multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. 36 (2) (2022)
Yuang Liu, Wei Zhang, Jun Wang
Multi-Knowledge Aggregation and Transfer for Semantic Segmentation. AAAI (2022)
Yuang Liu, Wei Zhang, Jun Wang
Zero-Shot Adversarial Quantization. CVPR (2021)
Yuang Liu, Wei Zhang, Jun Wang
Source-Free Domain Adaptation for Semantic Segmentation. CVPR (2021)
Yuang Liu, Wei Zhang, Jun Wang
Adaptive Multi-Teacher Multi-level Knowledge Distillation. CoRR (2021)
Yuang Liu, Wei Zhang, Jun Wang
Source-Free Domain Adaptation for Semantic Segmentation. CoRR (2021)
Yuang Liu, Wei Zhang, Jun Wang
Zero-shot Adversarial Quantization. CoRR (2021)
Yuang Liu, Wei Zhang, Jun Wang
Learning from a Lightweight Teacher for Efficient Knowledge Distillation. CoRR (2020)
Yuang Liu, Wei Zhang, Jun Wang
Adaptive multi-teacher multi-level knowledge distillation. Neurocomputing 415 (2020)
Liang Lan, Zhuang Wang, Shandian Zhe, Wei Cheng, Jun Wang, Kai Zhang
Scaling Up Kernel SVM on Limited Resources: A Low-Rank Linearization Approach. IEEE Trans. Neural Networks Learn. Syst. 30 (2) (2019)
Weiwei Shen, Bin Wang, Jian Pu, Jun Wang
The Kelly Growth Optimal Portfolio with Ensemble Learning. AAAI (2019)
Wen Wang, Wei Zhang, Jun Wang
Factorization Meets Memory Network: Learning to Predict Activity Popularity. DASFAA (2) (2018)
Wei Zhang, Wen Wang, Jun Wang, Hongyuan Zha
User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction. WWW (2018)
Yu-Gang Jiang, Zuxuan Wu, Jun Wang, Xiangyang Xue, Shih-Fu Chang
Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 40 (2) (2018)
Huizhe Wu, Wei Zhang, Weiwei Shen, Jun Wang
Hybrid Deep Sequential Modeling for Social Text-Driven Stock Prediction. CIKM (2018)
Wen Wang, Wei Zhang, Jun Wang, Junchi Yan, Hongyuan Zha
Learning Sequential Correlation for User Generated Textual Content Popularity Prediction. IJCAI (2018)
Liang Lan, Kai Zhang, Hancheng Ge, Wei Cheng, Jun Liu, Andreas Rauber, Xiaoli Li, Jun Wang, Hongyuan Zha
Low-rank decomposition meets kernel learning: A generalized Nyström method. Artif. Intell. 250 (2017)
Jun Wang, Wei Liu, Sanjiv Kumar, Shih-Fu Chang
Learning to Hash for Indexing Big Data - A Survey. Proc. IEEE 104 (1) (2016)
Qi Dai, Jianguo Li, Jun Wang, Yurong Chen, Yu-Gang Jiang
A Bayesian Hashing approach and its application to face recognition. Neurocomputing 213 (2016)
Jian Pu, Jun Wang, Yu-Gang Jiang, Xiangyang Xue
Multiple task learning with flexible structure regularization. Neurocomputing 177 (2016)
Yu-Gang Jiang, Zuxuan Wu, Jun Wang, Xiangyang Xue, Shih-Fu Chang
Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks. CoRR (2015)
Zuxuan Wu, Yu-Gang Jiang, Xi Wang, Hao Ye, Xiangyang Xue, Jun Wang
Fusing Multi-Stream Deep Networks for Video Classification. CoRR (2015)
Jun Wang, Wei Liu, Sanjiv Kumar, Shih-Fu Chang
Learning to Hash for Indexing Big Data - A Survey. CoRR (2015)
Qi Dai, Jianguo Li, Jun Wang, Yurong Chen, Yu-Gang Jiang
Optimal Bayesian Hashing for Efficient Face Recognition. IJCAI (2015)
Weiwei Shen, Jun Wang, Yu-Gang Jiang, Hongyuan Zha
Portfolio Choices with Orthogonal Bandit Learning. IJCAI (2015)
Mingdong Ou, Peng Cui, Fei Wang, Jun Wang, Wenwu Zhu
Non-transitive Hashing with Latent Similarity Components. KDD (2015)
Jinfeng Yi, Lijun Zhang, Tianbao Yang, Wei Liu, Jun Wang
An Efficient Semi-Supervised Clustering Algorithm with Sequential Constraints. KDD (2015)
Yan Wang, Jie Feng, Zhixiang Wu, Jun Wang, Shih-Fu Chang
From Low-Cost Depth Sensors to CAD: Cross-Domain 3D Shape Retrieval via Regression Tree Fields. ECCV (1) (2014)
Kush R. Varshney, Vijil Chenthamarakshan, Scott W. Fancher, Jun Wang, DongPing Fang, Aleksandra Mojsilovic
Predicting employee expertise for talent management in the enterprise. KDD (2014)
Zuxuan Wu, Yu-Gang Jiang, Jun Wang, Jian Pu, Xiangyang Xue
Exploring Inter-feature and Inter-class Relationships with Deep Neural Networks for Video Classification. ACM Multimedia (2014)
Jian Pu, Yu-Gang Jiang, Jun Wang, Xiangyang Xue
Which Looks Like Which: Exploring Inter-class Relationships in Fine-Grained Visual Categorization. ECCV (3) (2014)
Jun Wang, Tony Jebara, Shih-Fu Chang
Semi-supervised learning using greedy max-cut. J. Mach. Learn. Res. 14 (1) (2013)
Yu-Gang Jiang, Jun Wang, Xiangyang Xue, Shih-Fu Chang
Query-Adaptive Image Search With Hash Codes. IEEE Trans. Multim. 15 (2) (2013)
Jun Wang, Wei Liu, Andy X. Sun, Yu-Gang Jiang
Learning Hash Codes with Listwise Supervision. ICCV (2013)
DongPing Fang, Kush R. Varshney, Jun Wang, Karthikeyan Natesan Ramamurthy, Aleksandra Mojsilovic, John H. Bauer
Quantifying and Recommending Expertise When New Skills Emerge. ICDM Workshops (2013)
Jian Pu, Yu-Gang Jiang, Jun Wang, Xiangyang Xue
Multiple Task Learning Using Iteratively Reweighted Least Square. IJCAI (2013)
Kush R. Varshney, Lav R. Varshney, Jun Wang, Daniel Myers
Flavor Pairing in Medieval European Cuisine: A Study in Cooking with Dirty Data. CoRR (2013)
Mingdong Ou, Peng Cui, Fei Wang, Jun Wang, Wenwu Zhu, Shiqiang Yang
Comparing apples to oranges: a scalable solution with heterogeneous hashing. KDD (2013)
Guangnan Ye, Dong Liu, Jun Wang, Shih-Fu Chang
Large-Scale Video Hashing via Structure Learning. ICCV (2013)
Yu-Gang Jiang, Qi Dai, Jun Wang, Chong-Wah Ngo, Xiangyang Xue, Shih-Fu Chang
Fast Semantic Diffusion for Large-Scale Context-Based Image and Video Annotation. IEEE Trans. Image Process. 21 (6) (2012)
Wei Liu, Jun Wang, Yadong Mu, Sanjiv Kumar, Shih-Fu Chang
Compact Hyperplane Hashing with Bilinear Functions. ICML (2012)
Jun Wang, Sanjiv Kumar, Shih-Fu Chang
Semi-Supervised Hashing for Large-Scale Search. IEEE Trans. Pattern Anal. Mach. Intell. 34 (12) (2012)
Jun Wang, Kush R. Varshney, Aleksandra Mojsilovic
Legislative Prediction via Random Walks over a Heterogeneous Graph. SDM (2012)
Moninder Singh, Kush R. Varshney, Jun Wang, Aleksandra Mojsilovic, Alisia R. Gill, Patricia I. Faur, Raphael Ezry
An Analytics Approach for Proactively Combating Voluntary Attrition of Employees. ICDM Workshops (2012)
Wei Liu, Jun Wang, Shih-Fu Chang
Robust and Scalable Graph-Based Semisupervised Learning. Proc. IEEE 100 (9) (2012)
Wei Liu, Jun Wang, Yadong Mu, Sanjiv Kumar, Shih-Fu Chang
Compact Hyperplane Hashing with Bilinear Functions CoRR (2012)
Wei Liu, Jun Wang, Rongrong Ji, Yu-Gang Jiang, Shih-Fu Chang
Supervised hashing with kernels. CVPR (2012)
Yu-Gang Jiang, Jun Wang, Shih-Fu Chang
Lost in binarization: query-adaptive ranking for similar image search with compact codes. ICMR (2011)
Wei Liu, Jun Wang, Sanjiv Kumar, Shih-Fu Chang
Hashing with Graphs. ICML (2011)
Jun Wang, Sanjiv Kumar, Shih-Fu Chang
Sequential Projection Learning for Hashing with Compact Codes. ICML (2010)
Jun Wang, Ondrej Kumar, Shih-Fu Chang
Semi-supervised hashing for scalable image retrieval. CVPR (2010)
Paul Sajda, Eric Pohlmeyer, Jun Wang, Lucas C. Parra, Christoforos Christoforou, Jacek Dmochowski, Barbara Hanna, Claus Bahlmann, Maneesh Kumar Singh, Shih-Fu Chang
In a Blink of an Eye and a Switch of a Transistor: Cortically Coupled Computer Vision. Proc. IEEE 98 (3) (2010)
Chong-Wah Ngo, Yu-Gang Jiang, Xiao-Yong Wei, Wanlei Zhao, Yang Liu, Shiai Zhu, Jun Wang, Shih-Fu Chang
VIREO/DVMM at TRECVID 2009: High-Level Feature Extraction, Automatic Video Search, and Content-Based Copy Detection. TRECVID (2009)
Jun Wang, Xiaobo Zhou, Fuhai Li, Pamela Bradley, Shih-Fu Chang, Norbert Perrimon, Stephen T. C. Wong
An image score inference system for RNAi genome-wide screening based on fuzzy mixture regression modeling. J. Biomed. Informatics 42 (1) (2009)
Jun Wang, Yu-Gang Jiang, Shih-Fu Chang
Label diagnosis through self tuning forweb image search. CVPR (2009)
Tony Jebara, Jun Wang, Shih-Fu Chang
-matching for semi-supervised learning. ICML (2009)
Jun Wang, Eric Pohlmeyer, Barbara Hanna, Yu-Gang Jiang, Paul Sajda, Shih-Fu Chang
Brain state decoding for rapid image retrieval. ACM Multimedia (2009)
Yu-Gang Jiang, Jun Wang, Shih-Fu Chang, Chong-Wah Ngo
Domain adaptive semantic diffusion for large scale context-based video annotation. ICCV (2009)
Jun Wang, Shih-Fu Chang, Xiaobo Zhou, Stephen T. C. Wong
Active microscopic cellular image annotation by superposable graph transduction with imbalanced labels. CVPR (2008)
Jun Wang, Tony Jebara, Shih-Fu Chang
Graph transduction via alternating minimization. ICML (2008)
Jun Wang, Xiaobo Zhou, Ju Lu, Jeff Lichtman, Shih-Fu Chang, Stephen T. C. Wong
Dynamic Local Tracing for 3d Axon Curvilinear Structure Detection from Microscopic Image Stack. ISBI (2007)