Jun Wang

153 papers A* 48A 7B 4Misc 1Journal 75Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Attention Residual Fusion Network With Contrast for Source-Free Domain Adaptation.
IEEE Trans. Circuits Syst. Video Technol.
Renrong Shao, Wei Zhang, Jun Wang
2026 A* conf
GloTok: Global Perspective Tokenizer for Image Reconstruction and Generation.
AAAI
Xuan Zhao, Zhongyu Zhang, Yuge Huang, Yuxi Mi, Guodong Mu, Shouhong Ding, Jun Wang, Rizen Guo, Shuigeng Zhou
2025 A* conf
Coherency Improved Explainable Recommendation via Large Language Model.
AAAI
Shijie Liu, Ruixin Ding, Weihai Lu, Jun Wang, Mo Yu, Xiaoming Shi, Wei Zhang
2025 J jnl
Coherency Improved Explainable Recommendation via Large Language Model.
CoRR
Shijie Liu, Ruixing Ding, Weihai Lu, Jun Wang, Mo Yu, Xiaoming Shi, Wei Zhang
2025 — conf
Collaborative Filtering Meets Spectrum Shift: Connecting User-Item Interaction with Graph-Structured Side Information.
KDD (2)
Yunhang He, Cong Xu, Jun Wang, Wei Zhang
2025 J jnl
Collaborative Filtering Meets Spectrum Shift: Connecting User-Item Interaction with Graph-Structured Side Information.
CoRR
Yunhang He, Cong Xu, Jun Wang, Wei Zhang
2025 J jnl
Consistent Assistant Domains Transformer for Source-Free Domain Adaptation.
IEEE Trans. Image Process.
Renrong Shao, Wei Zhang, Kangyang Luo, Qin Li, Jun Wang
2025 J jnl
Consistent Assistant Domains Transformer for Source-free Domain Adaptation.
CoRR
Renrong Shao, Wei Zhang, Kangyang Luo, Qin Li, Jun Wang
2025 J jnl
Explainable Session-Based Recommendation via Path Reasoning.
IEEE Trans. Knowl. Data Eng.
Yang Cao, Shuo Shang, Jun Wang, Wei Zhang
2025 J jnl
From Enhancement to Understanding: Build a Generalized Bridge for Low-light Vision via Semantically Consistent Unsupervised Fine-tuning.
CoRR
Sen Wang, Shao Zeng, Tianjun Gu, Zhizhong Zhang, Ruixin Zhang, Shouhong Ding, Jingyun Zhang, Jun Wang, Xin Tan, Yuan Xie, Lizhuang Ma
2025 J jnl
GloTok: Global Perspective Tokenizer for Image Reconstruction and Generation.
CoRR
Xuan Zhao, Zhongyu Zhang, Yuge Huang, Yuxi Mi, Guodong Mu, Shouhong Ding, Jun Wang, Rizen Guo, Shuigeng Zhou
2025 A conf
Negotiated Reasoning: On Provably Addressing Relative Over-Generalization.
AAMAS
Junjie Sheng, Wenhao Li, Bo Jin, Hongyuan Zha, Jun Wang, Xiangfeng Wang
2025 J jnl
Pushing the Limits of Low-Bit Optimizers: A Focus on EMA Dynamics.
CoRR
Cong Xu, Wenbin Liang, Mo Yu, Anan Liu, Ke-Yue Zhang, Lizhuang Ma, Jianyong Wang, Jun Wang, Wei Zhang
2025 A* conf
STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation.
AAAI
Cong Xu, Yunhang He, Jun Wang, Wei Zhang
2025 J jnl
Switchable Token-Specific Codebook Quantization For Face Image Compression.
CoRR
Yongbo Wang, Haonan Wang, Guodong Mu, Ruixin Zhang, Jiaqi Chen, Jingyun Zhang, Jun Wang, Yuan Xie, Zhizhong Zhang, Shouhong Ding
2025 J jnl
Understanding Adversarial Robustness From Feature Maps of Convolutional Layers.
IEEE Trans. Neural Networks Learn. Syst.
Cong Xu, Wei Zhang, Jun Wang, Min Yang
2024 J jnl
Are LLM-based Recommenders Already the Best? Simple Scaled Cross-entropy Unleashes the Potential of Traditional Sequential Recommenders.
CoRR
Cong Xu, Zhangchi Zhu, Mo Yu, Jun Wang, Jianyong Wang, Wei Zhang
2024 J jnl
CNNSum: Exploring Long-Context Summarization with Large Language Models in Chinese Novels.
CoRR
Lingxiao Wei, He Yan, Xiangju Lu, Junmin Zhu, Jun Wang, Wei Zhang
2024 J jnl
Contrastive Personalized Exercise Recommendation With Reinforcement Learning.
IEEE Trans. Learn. Technol.
Siyu Wu, Jun Wang, Wei Zhang
2024 — conf
D2LLM: Decomposed and Distilled Large Language Models for Semantic Search.
ACL (1)
Zihan Liao, Hang Yu, Jianguo Li, Jun Wang, Wei Zhang
2024 J jnl
D2LLM: Decomposed and Distilled Large Language Models for Semantic Search.
CoRR
Zihan Liao, Hang Yu, Jianguo Li, Jun Wang, Wei Zhang
2024 Misc conf
DMT: Comprehensive Distillation with Multiple Self-Supervised Teachers.
ICASSP
Yuang Liu, Jing Wang, Qiang Zhou, Fan Wang, Jun Wang, Wei Zhang
2024 J jnl
Data-free Knowledge Distillation for Fine-grained Visual Categorization.
CoRR
Renrong Shao, Wei Zhang, Jianhua Yin, Jun Wang
2024 A conf
Dynamic Token-Pass Transformers for Semantic Segmentation.
WACV
Yuang Liu, Qiang Zhou, Jing Wang, Zhibin Wang, Fan Wang, Jun Wang, Wei Zhang
2024 J jnl
Estimating Difficulty Levels of Programming Problems with Pre-trained Model.
CoRR
Zhiyuan Wang, Wei Zhang, Jun Wang
2024 J jnl
Explainable Session-based Recommendation via Path Reasoning.
CoRR
Yang Cao, Shuo Shang, Jun Wang, Wei Zhang
2024 A* conf
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution.
NeurIPS
Cong Xu, Jun Wang, Jianyong Wang, Wei Zhang
2024 J jnl
Modeling Dynamic Item Tendency Bias in Sequential Recommendation With Causal Intervention.
IEEE Trans. Knowl. Data Eng.
Zihan Liao, Xiaodong Wu, Shuo Shang, Jun Wang, Wei Zhang
2024 A* conf
Privacy-Preserving Face Recognition Using Trainable Feature Subtraction.
CVPR
Yuxi Mi, Zhizhou Zhong, Yuge Huang, Jiazhen Ji, Jianqing Xu, Jun Wang, Shaoming Wang, Shouhong Ding, Shuigeng Zhou
2024 J jnl
Privacy-Preserving Face Recognition Using Trainable Feature Subtraction.
CoRR
Yuxi Mi, Zhizhou Zhong, Yuge Huang, Jiazhen Ji, Jianqing Xu, Jun Wang, Shaoming Wang, Shouhong Ding, Shuigeng Zhou
2024 A* conf
SDPose: Tokenized Pose Estimation via Circulation-Guide Self-Distillation.
CVPR
Sichen Chen, Yingyi Zhang, Siming Huang, Ran Yi, Ke Fan, Ruixin Zhang, Peixian Chen, Jun Wang, Shouhong Ding, Lizhuang Ma
2024 J jnl
SDPose: Tokenized Pose Estimation via Circulation-Guide Self-Distillation.
CoRR
Sichen Chen, Yingyi Zhang, Siming Huang, Ran Yi, Ke Fan, Ruixin Zhang, Peixian Chen, Jun Wang, Shouhong Ding, Lizhuang Ma
2024 J jnl
SQLfuse: Enhancing Text-to-SQL Performance through Comprehensive LLM Synergy.
CoRR
Tingkai Zhang, Chaoyu Chen, Cong Liao, Jun Wang, Xudong Zhao, Hang Yu, Jianchao Wang, Jianguo Li, Wenhui Shi
2024 J jnl
STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation.
CoRR
Cong Xu, Yunhang He, Jun Wang, Wei Zhang
2024 J jnl
StableGCN: Decoupling and Reconciling Information Propagation for Collaborative Filtering.
IEEE Trans. Knowl. Data Eng.
Cong Xu, Jun Wang, Wei Zhang
2024 J jnl
Understanding the Role of Cross-Entropy Loss in Fairly Evaluating Large Language Model-based Recommendation.
CoRR
Cong Xu, Zhangchi Zhu, Jun Wang, Jianyong Wang, Wei Zhang
2023 J jnl
Conditional pseudo-supervised contrast for data-Free knowledge distillation.
Pattern Recognit.
Renrong Shao, Wei Zhang, Jun Wang
2023 J jnl
DMT: Comprehensive Distillation with Multiple Self-supervised Teachers.
CoRR
Yuang Liu, Jing Wang, Qiang Zhou, Fan Wang, Jun Wang, Wei Zhang
2023 A* conf
Data-free Knowledge Distillation for Fine-grained Visual Categorization.
ICCV
Renrong Shao, Wei Zhang, Jianhua Yin, Jun Wang
2023 A* conf
DistilPose: Tokenized Pose Regression with Heatmap Distillation.
CVPR
Suhang Ye, Yingyi Zhang, Jie Hu, Liujuan Cao, Shengchuan Zhang, Lei Shen, Jun Wang, Shouhong Ding, Rongrong Ji
2023 J jnl
DistilPose: Tokenized Pose Regression with Heatmap Distillation.
CoRR
Suhang Ye, Yingyi Zhang, Jie Hu, Liujuan Cao, Shengchuan Zhang, Lei Shen, Jun Wang, Shouhong Ding, Rongrong Ji
2023 J jnl
Dynamic Token-Pass Transformers for Semantic Segmentation.
CoRR
Yuang Liu, Qiang Zhou, Jing Wang, Fan Wang, Jun Wang, Wei Zhang
2023 J jnl
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution.
CoRR
Cong Xu, Jun Wang, Jianyong Wang, Wei Zhang
2023 A* conf
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning.
WWW
Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
2023 A conf
Learning Structured Communication for Multi-Agent Reinforcement Learning.
AAMAS
Junjie Sheng, Xiangfeng Wang, Bo Jin, Wenhao Li, Jun Wang, Junchi Yan, Tsung-Hui Chang, Hongyuan Zha
2023 J jnl
Negotiated Reasoning: On Provably Addressing Relative Over-Generalization.
CoRR
Junjie Sheng, Wenhao Li, Bo Jin, Hongyuan Zha, Jun Wang, Xiangfeng Wang
2023 A* conf
Quantize Sequential Recommenders Without Private Data.
WWW
Lingfeng Shi, Yuang Liu, Jun Wang, Wei Zhang
2023 A* conf
Self-Decoupling and Ensemble Distillation for Efficient Segmentation.
AAAI
Yuang Liu, Wei Zhang, Jun Wang
2022 J jnl
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning.
CoRR
Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
2022 J jnl
Learning structured communication for multi-agent reinforcement learning.
Auton. Agents Multi Agent Syst.
Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha
2022 J jnl
Learning to schedule multi-NUMA virtual machines via reinforcement learning.
Pattern Recognit.
Junjie Sheng, Yiqiu Hu, Wenli Zhou, Lei Zhu, Bo Jin, Jun Wang, Xiangfeng Wang
2022 A* conf
Multi-Knowledge Aggregation and Transfer for Semantic Segmentation.
AAAI
Yuang Liu, Wei Zhang, Jun Wang
2022 J jnl
Multi-View Pre-Trained Model for Code Vulnerability Identification.
CoRR
Xuxiang Jiang, Yinhao Xiao, Jun Wang, Wei Zhang
2022 — conf
Multi-view Pre-trained Model for Code Vulnerability Identification.
WASA (3)
Xuxiang Jiang, Yinhao Xiao, Jun Wang, Wei Zhang
2022 J jnl
Node Embedding and Classification with Adaptive Structural Fingerprint.
Neurocomputing
Yaokang Zhu, Jun Wang, Jie Zhang, Kai Zhang
2022 J jnl
Obtaining Dyadic Fairness by Optimal Transport.
CoRR
Moyi Yang, Junjie Sheng, Xiangfeng Wang, Wenyan Liu, Bo Jin, Jun Wang, Hongyuan Zha
2022 A* conf
Structural Landmarking and Interaction Modelling: A "SLIM" Network for Graph Classification.
AAAI
Yaokang Zhu, Kai Zhang, Jun Wang, Haibin Ling, Jie Zhang, Hongyuan Zha
2021 J jnl
Adaptive Multi-Teacher Multi-level Knowledge Distillation.
CoRR
Yuang Liu, Wei Zhang, Jun Wang
2021 J jnl
Data-Free Knowledge Transfer: A Survey.
CoRR
Yuang Liu, Wei Zhang, Jun Wang, Jianyong Wang
2021 B conf
Defense against Adversarial Attacks with an Induced Class.
IJCNN
Zhi Xu, Jun Wang, Jian Pu
2021 A* conf
Empirical or Invariant Risk Minimization? A Sample Complexity Perspective.
ICLR
Kartik Ahuja, Jun Wang, Amit Dhurandhar, Karthikeyan Shanmugam, Kush R. Varshney
2021 J jnl
Parallel pathway dense neural network with weighted fusion structure for brain tumor segmentation.
Neurocomputing
Fangyan Ye, Yingbin Zheng, Hao Ye, Xiaohao Han, Yuxin Li, Jun Wang, Jian Pu
2021 A* conf
Source-Free Domain Adaptation for Semantic Segmentation.
CVPR
Yuang Liu, Wei Zhang, Jun Wang
2021 J jnl
Source-Free Domain Adaptation for Semantic Segmentation.
CoRR
Yuang Liu, Wei Zhang, Jun Wang
2021 A* conf
Zero-Shot Adversarial Quantization.
CVPR
Yuang Liu, Wei Zhang, Jun Wang
2021 J jnl
Zero-shot Adversarial Quantization.
CoRR
Yuang Liu, Wei Zhang, Jun Wang
2020 A* conf
Adaptive Structural Fingerprints for Graph Attention Networks.
ICLR
Kai Zhang, Yaokang Zhu, Jun Wang, Jie Zhang
2020 J jnl
Adaptive multi-teacher multi-level knowledge distillation.
Neurocomputing
Yuang Liu, Wei Zhang, Jun Wang
2020 J jnl
Empirical or Invariant Risk Minimization? A Sample Complexity Perspective.
CoRR
Kartik Ahuja, Jun Wang, Amit Dhurandhar, Karthikeyan Shanmugam, Kush R. Varshney
2020 J jnl
Extracting and Predicting Taxi Hotspots in Spatiotemporal Dimensions Using Conditional Generative Adversarial Neural Networks.
IEEE Trans. Veh. Technol.
Hao Yu, Zhenning Li, Guohui Zhang, Pan Liu, Jun Wang
2020 J jnl
Learning Structured Communication for Multi-agent Reinforcement Learning.
CoRR
Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha
2020 J jnl
Learning from a Lightweight Teacher for Efficient Knowledge Distillation.
CoRR
Yuang Liu, Wei Zhang, Jun Wang
2020 J jnl
Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph Classification.
CoRR
Kai Zhang, Yaokang Zhu, Jun Wang, Jie Zhang, Hongyuan Zha
2020 B conf
VSB2-Net: Visual-Semantic Bi-Branch Network for Zero-Shot Hashing.
ICPR
Xin Li, Xiangfeng Wang, Bo Jin, Wenjie Zhang, Jun Wang, Hongyuan Zha
2019 J jnl
False positive rate control for positive unlabeled learning.
Neurocomputing
Shuchen Kong, Weiwei Shen, Yingbin Zheng, Ao Zhang, Jian Pu, Jun Wang
2019 J jnl
Scaling Up Kernel SVM on Limited Resources: A Low-Rank Linearization Approach.
IEEE Trans. Neural Networks Learn. Syst.
Liang Lan, Zhuang Wang, Shandian Zhe, Wei Cheng, Jun Wang, Kai Zhang
2019 A* conf
The Kelly Growth Optimal Portfolio with Ensemble Learning.
AAAI
Weiwei Shen, Bin Wang, Jian Pu, Jun Wang
2018 J jnl
Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Yu-Gang Jiang, Zuxuan Wu, Jun Wang, Xiangyang Xue, Shih-Fu Chang
2018 — conf
Factorization Meets Memory Network: Learning to Predict Activity Popularity.
DASFAA (2)
Wen Wang, Wei Zhang, Jun Wang
2018 A conf
Hybrid Deep Sequential Modeling for Social Text-Driven Stock Prediction.
CIKM
Huizhe Wu, Wei Zhang, Weiwei Shen, Jun Wang
2018 A* conf
Learning Sequential Correlation for User Generated Textual Content Popularity Prediction.
IJCAI
Wen Wang, Wei Zhang, Jun Wang, Junchi Yan, Hongyuan Zha
2018 — ch.
Legislative Prediction with Political and Social Network Analysis.
Encyclopedia of Social Network Analysis and Mining. 2nd Ed.
Jun Wang, Kush R. Varshney, Aleksandra Mojsilovic
2018 J jnl
Multiple graph regularized graph transduction via greedy gradient Max-Cut.
Inf. Sci.
Yu Xiu, Weiwei Shen, Zhongqun Wang, Sanmin Liu, Jun Wang
2018 A* conf
Tau-FPL: Tolerance-Constrained Learning in Linear Time.
AAAI
Ao Zhang, Nan Li, Jian Pu, Jun Wang, Junchi Yan, Hongyuan Zha
2018 A* conf
User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction.
WWW
Wei Zhang, Wen Wang, Jun Wang, Hongyuan Zha
2018 J jnl
tau-FPL: Tolerance-Constrained Learning in Linear Time.
CoRR
Ao Zhang, Nan Li, Jian Pu, Jun Wang, Junchi Yan, Hongyuan Zha
2017 J jnl
A self-adaptive load-dispatching control framework for device data accessing in IoT-based systems.
Int. J. Commun. Syst.
Jun Wang, Haibing Yin, Yongfeng Fu, Xiaokang Yang
2017 J jnl
An integrated system for building structural health monitoring and early warning based on an Internet of things approach.
Int. J. Distributed Sens. Networks
Jun Wang, Yongfeng Fu, Xiaokang Yang
2017 — conf
Boosting Alzheimer diagnosis accuracy with the help of incomplete privileged information.
BIBM
Jian Pu, Jun Wang, Yingbin Zheng, Hao Ye, Weiwei Shen, Yuxin Li, Hongyuan Zha
2017 — conf
Glioma grading based on 3D multimodal convolutional neural network and privileged learning.
BIBM
Fangyan Ye, Jian Pu, Jun Wang, Yuxin Li, Hongyuan Zha
2017 J jnl
Low-rank decomposition meets kernel learning: A generalized Nyström method.
Artif. Intell.
Liang Lan, Kai Zhang, Hancheng Ge, Wei Cheng, Jun Liu, Andreas Rauber, Xiaoli Li, Jun Wang, Hongyuan Zha
2016 J jnl
A Bayesian Hashing approach and its application to face recognition.
Neurocomputing
Qi Dai, Jianguo Li, Jun Wang, Yurong Chen, Yu-Gang Jiang
2016 J jnl
Learning to Hash for Indexing Big Data - A Survey.
Proc. IEEE
Jun Wang, Wei Liu, Sanjiv Kumar, Shih-Fu Chang
2016 J jnl
Multiple task learning with flexible structure regularization.
Neurocomputing
Jian Pu, Jun Wang, Yu-Gang Jiang, Xiangyang Xue
2015 A* conf
An Efficient Semi-Supervised Clustering Algorithm with Sequential Constraints.
KDD
Jinfeng Yi, Lijun Zhang, Tianbao Yang, Wei Liu, Jun Wang
2015 J jnl
Consistency-Driven Alternating Optimization for Multigraph Matching: A Unified Approach.
IEEE Trans. Image Process.
Junchi Yan, Jun Wang, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu
2015 J jnl
Deep Attributes from Context-Aware Regional Neural Codes.
CoRR
Jianwei Luo, Jianguo Li, Jun Wang, Zhiguo Jiang, Yurong Chen
2015 J jnl
Discriminative Structured Feature Engineering for Macroscale Brain Connectomes.
IEEE Trans. Medical Imaging
Jian Pu, Jun Wang, Wenwen Yu, Zhuangming Shen, Qian Lv, Kristina Zeljic, Chencheng Zhang, Bomin Sun, Guoxiang Liu, Zheng Wang
2015 J jnl
Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks.
CoRR
Yu-Gang Jiang, Zuxuan Wu, Jun Wang, Xiangyang Xue, Shih-Fu Chang
2015 J jnl
Fusing Multi-Stream Deep Networks for Video Classification.
CoRR
Zuxuan Wu, Yu-Gang Jiang, Xi Wang, Hao Ye, Xiangyang Xue, Jun Wang
2015 J jnl
Learning to Hash for Indexing Big Data - A Survey.
CoRR
Jun Wang, Wei Liu, Sanjiv Kumar, Shih-Fu Chang
2015 A* conf
Multi-View Point Registration via Alternating Optimization.
AAAI
Junchi Yan, Jun Wang, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu
2015 A* conf
Non-transitive Hashing with Latent Similarity Components.
KDD
Mingdong Ou, Peng Cui, Fei Wang, Jun Wang, Wenwu Zhu
2015 A* conf
Optimal Bayesian Hashing for Efficient Face Recognition.
IJCAI
Qi Dai, Jianguo Li, Jun Wang, Yurong Chen, Yu-Gang Jiang
2015 A* conf
Portfolio Choices with Orthogonal Bandit Learning.
IJCAI
Weiwei Shen, Jun Wang, Yu-Gang Jiang, Hongyuan Zha
2015 A* conf
Probabilistic Attributed Hashing.
AAAI
Mingdong Ou, Peng Cui, Jun Wang, Fei Wang, Wenwu Zhu
2014 A* conf
A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data.
ICML
Jinfeng Yi, Lijun Zhang, Jun Wang, Rong Jin, Anil K. Jain
2014 A* conf
Exploring Inter-feature and Inter-class Relationships with Deep Neural Networks for Video Classification.
ACM Multimedia
Zuxuan Wu, Yu-Gang Jiang, Jun Wang, Jian Pu, Xiangyang Xue
2014 — conf
From Low-Cost Depth Sensors to CAD: Cross-Domain 3D Shape Retrieval via Regression Tree Fields.
ECCV (1)
Yan Wang, Jie Feng, Zhixiang Wu, Jun Wang, Shih-Fu Chang
2014 — ch.
Legislative Prediction with Political and Social Network Analysis.
Encyclopedia of Social Network Analysis and Mining
Jun Wang, Kush R. Varshney, Aleksandra Mojsilovic
2014 A* conf
Predicting employee expertise for talent management in the enterprise.
KDD
Kush R. Varshney, Vijil Chenthamarakshan, Scott W. Fancher, Jun Wang, DongPing Fang, Aleksandra Mojsilovic
2014 A* conf
Privacy and Regression Model Preserved Learning.
AAAI
Jinfeng Yi, Jun Wang, Rong Jin
2014 A conf
Self-Taught Spectral Clustering via Constraint Augmentation.
SDM
Xiang Wang, Jun Wang, Buyue Qian, Fei Wang, Ian Davidson
2014 — conf
Which Looks Like Which: Exploring Inter-class Relationships in Fine-Grained Visual Categorization.
ECCV (3)
Jian Pu, Yu-Gang Jiang, Jun Wang, Xiangyang Xue
2013 A conf
Active Learning to Rank using Pairwise Supervision.
SDM
Ian Davidson, Hongfei Li, Buyue Qian, Jun Wang, Xiang Wang
2013 A* conf
Comparing apples to oranges: a scalable solution with heterogeneous hashing.
KDD
Mingdong Ou, Peng Cui, Fei Wang, Jun Wang, Wenwu Zhu, Shiqiang Yang
2013 A* conf
Exploring Patient Risk Groups with Incomplete Knowledge.
ICDM
Xiang Wang, Fei Wang, Jun Wang, Buyue Qian, Jianying Hu
2013 A* conf
Fast Pairwise Query Selection for Large-Scale Active Learning to Rank.
ICDM
Buyue Qian, Xiang Wang, Jun Wang, Hongfei Li, Nan Cao, Weifeng Zhi, Ian Davidson
2013 J jnl
Flavor Pairing in Medieval European Cuisine: A Study in Cooking with Dirty Data.
CoRR
Kush R. Varshney, Lav R. Varshney, Jun Wang, Daniel Myers
2013 A* conf
Large-Scale Video Hashing via Structure Learning.
ICCV
Guangnan Ye, Dong Liu, Jun Wang, Shih-Fu Chang
2013 A* conf
Learning Hash Codes with Listwise Supervision.
ICCV
Jun Wang, Wei Liu, Andy X. Sun, Yu-Gang Jiang
2013 A* conf
Multiple Task Learning Using Iteratively Reweighted Least Square.
IJCAI
Jian Pu, Yu-Gang Jiang, Jun Wang, Xiangyang Xue
2013 — conf
Quantifying and Recommending Expertise When New Skills Emerge.
ICDM Workshops
DongPing Fang, Kush R. Varshney, Jun Wang, Karthikeyan Natesan Ramamurthy, Aleksandra Mojsilovic, John H. Bauer
2013 J jnl
Query-Adaptive Image Search With Hash Codes.
IEEE Trans. Multim.
Yu-Gang Jiang, Jun Wang, Xiangyang Xue, Shih-Fu Chang
2013 J jnl
Semi-supervised learning using greedy max-cut.
J. Mach. Learn. Res.
Jun Wang, Tony Jebara, Shih-Fu Chang
2013 J jnl
Single Network Relational Transductive Learning.
J. Artif. Intell. Res.
Amit Dhurandhar, Jun Wang
2012 — conf
An Analytics Approach for Proactively Combating Voluntary Attrition of Employees.
ICDM Workshops
Moninder Singh, Kush R. Varshney, Jun Wang, Aleksandra Mojsilovic, Alisia R. Gill, Patricia I. Faur, Raphael Ezry
2012 J jnl
Compact Hyperplane Hashing with Bilinear Functions
CoRR
Wei Liu, Jun Wang, Yadong Mu, Sanjiv Kumar, Shih-Fu Chang
2012 A* conf
Compact Hyperplane Hashing with Bilinear Functions.
ICML
Wei Liu, Jun Wang, Yadong Mu, Sanjiv Kumar, Shih-Fu Chang
2012 — conf
Decision trees for heterogeneous dose-response signal analysis.
SSP
Kush R. Varshney, Moninder Singh, Jun Wang
2012 — conf
Does selection bias blind performance diagnostics of business decision models? A case study in salesforce optimization.
SOLI
Jun Wang, Moninder Singh, Kush R. Varshney
2012 J jnl
Fast Semantic Diffusion for Large-Scale Context-Based Image and Video Annotation.
IEEE Trans. Image Process.
Yu-Gang Jiang, Qi Dai, Jun Wang, Chong-Wah Ngo, Xiangyang Xue, Shih-Fu Chang
2012 A conf
Legislative Prediction via Random Walks over a Heterogeneous Graph.
SDM
Jun Wang, Kush R. Varshney, Aleksandra Mojsilovic
2012 J jnl
Robust and Scalable Graph-Based Semisupervised Learning.
Proc. IEEE
Wei Liu, Jun Wang, Shih-Fu Chang
2012 J jnl
Semi-Supervised Hashing for Large-Scale Search.
IEEE Trans. Pattern Anal. Mach. Intell.
Jun Wang, Sanjiv Kumar, Shih-Fu Chang
2012 A* conf
Supervised hashing with kernels.
CVPR
Wei Liu, Jun Wang, Rongrong Ji, Yu-Gang Jiang, Shih-Fu Chang
2011 A* conf
Hashing with Graphs.
ICML
Wei Liu, Jun Wang, Sanjiv Kumar, Shih-Fu Chang
2011 B conf
Lost in binarization: query-adaptive ranking for similar image search with compact codes.
ICMR
Yu-Gang Jiang, Jun Wang, Shih-Fu Chang
2011 — —
Semi-Supervised Learning for Scalable and Robust Visual Search.
Jun Wang
2010 — ch.
Cortically-Coupled Computer Vision.
Brain-Computer Interfaces
Paul Sajda, Eric Pohlmeyer, Jun Wang, Barbara Hanna, Lucas C. Parra, Shih-Fu Chang
2010 J jnl
In a Blink of an Eye and a Switch of a Transistor: Cortically Coupled Computer Vision.
Proc. IEEE
Paul Sajda, Eric Pohlmeyer, Jun Wang, Lucas C. Parra, Christoforos Christoforou, Jacek Dmochowski, Barbara Hanna, Claus Bahlmann, Maneesh Kumar Singh, Shih-Fu Chang
2010 A* conf
Semi-supervised hashing for scalable image retrieval.
CVPR
Jun Wang, Ondrej Kumar, Shih-Fu Chang
2010 A* conf
Sequential Projection Learning for Hashing with Compact Codes.
ICML
Jun Wang, Sanjiv Kumar, Shih-Fu Chang
2009 J jnl
An image score inference system for RNAi genome-wide screening based on fuzzy mixture regression modeling.
J. Biomed. Informatics
Jun Wang, Xiaobo Zhou, Fuhai Li, Pamela Bradley, Shih-Fu Chang, Norbert Perrimon, Stephen T. C. Wong
2009 A* conf
Brain state decoding for rapid image retrieval.
ACM Multimedia
Jun Wang, Eric Pohlmeyer, Barbara Hanna, Yu-Gang Jiang, Paul Sajda, Shih-Fu Chang
2009 A* conf
Domain adaptive semantic diffusion for large scale context-based video annotation.
ICCV
Yu-Gang Jiang, Jun Wang, Shih-Fu Chang, Chong-Wah Ngo
2009 A* conf
Graph construction and
ICML
Tony Jebara, Jun Wang, Shih-Fu Chang
2009 A* conf
Label diagnosis through self tuning forweb image search.
CVPR
Jun Wang, Yu-Gang Jiang, Shih-Fu Chang
2009 — conf
VIREO/DVMM at TRECVID 2009: High-Level Feature Extraction, Automatic Video Search, and Content-Based Copy Detection.
TRECVID
Chong-Wah Ngo, Yu-Gang Jiang, Xiao-Yong Wei, Wanlei Zhao, Yang Liu, Shiai Zhu, Jun Wang, Shih-Fu Chang
2008 A* conf
Active microscopic cellular image annotation by superposable graph transduction with imbalanced labels.
CVPR
Jun Wang, Shih-Fu Chang, Xiaobo Zhou, Stephen T. C. Wong
2008 A* conf
Graph transduction via alternating minimization.
ICML
Jun Wang, Tony Jebara, Shih-Fu Chang
2007 — conf
Dynamic Local Tracing for 3d Axon Curvilinear Structure Detection from Microscopic Image Stack.
ISBI
Jun Wang, Xiaobo Zhou, Ju Lu, Jeff Lichtman, Shih-Fu Chang, Stephen T. C. Wong
1997 B conf
Design of a multimedia system for multispecialty medical conferences.
Image Processing
Mehran Moshfeghi, Tony M. Chou, Hein P. A. Haas, H. K. Huang, William P. Lord, Joachim D. Schmidt, Jun Wang, Thomas Wendler, Stephen T. C. Wong, Yuan-Pin Yu, Christian Zellner