Jun Wang

IEEE Trans. Knowl. Data Eng., June, 2024

Contrastive Personalized Exercise Recommendation With Reinforcement Learning.

[BibT_eX]

[DOI]

Siyu Wu

IEEE Trans. Learn. Technol., 2024

Are LLM-based Recommenders Already the Best? Simple Scaled Cross-entropy Unleashes the Potential of Traditional Sequential Recommenders.

[BibT_eX]

[DOI]

CoRR, 2024

SQLfuse: Enhancing Text-to-SQL Performance through Comprehensive LLM Synergy.

[BibT_eX]

[DOI]

CoRR, 2024

Estimating Difficulty Levels of Programming Problems with Pre-trained Model.

[BibT_eX]

[DOI]

Zhiyuan Wang

CoRR, 2024

Explainable Session-based Recommendation via Path Reasoning.

[BibT_eX]

[DOI]

CoRR, 2024

Understanding the Role of Cross-Entropy Loss in Fairly Evaluating Large Language Model-based Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

Dynamic Token-Pass Transformers for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

DMT: Comprehensive Distillation with Multiple Self-Supervised Teachers.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

D2LLM: Decomposed and Distilled Large Language Models for Semantic Search.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Conditional pseudo-supervised contrast for data-Free knowledge distillation.

[BibT_eX]

[DOI]

Renrong Shao

Pattern Recognit., November, 2023

Investigating Spatial Variations of Compound Heat-Precipitation Events in Guangdong, China through a Convection-Permitting Model.

[BibT_eX]

[DOI]

Remote. Sens., October, 2023

Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution.

[BibT_eX]

[DOI]

CoRR, 2023

Dynamic Token-Pass Transformers for Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Negotiated Reasoning: On Provably Addressing Relative Over-Generalization.

[BibT_eX]

[DOI]

CoRR, 2023

Quantize Sequential Recommenders Without Private Data.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Data-free Knowledge Distillation for Fine-grained Visual Categorization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DistilPose: Tokenized Pose Regression with Heatmap Distillation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Self-Decoupling and Ensemble Distillation for Efficient Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning to schedule multi-NUMA virtual machines via reinforcement learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Node Embedding and Classification with Adaptive Structural Fingerprint.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Obtaining Dyadic Fairness by Optimal Transport.

[BibT_eX]

[DOI]

CoRR, 2022

Learning structured communication for multi-agent reinforcement learning.

[BibT_eX]

[DOI]

Auton. Agents Multi Agent Syst., 2022

Multi-view Pre-trained Model for Code Vulnerability Identification.

[BibT_eX]

[DOI]

Proceedings of the Wireless Algorithms, Systems, and Applications, 2022

Structural Landmarking and Interaction Modelling: A "SLIM" Network for Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Multi-Knowledge Aggregation and Transfer for Semantic Segmentation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Data-Free Knowledge Transfer: A Survey.

[BibT_eX]

[DOI]

CoRR, 2021

Defense against Adversarial Attacks with an Induced Class.

[BibT_eX]

[DOI]

Zhi Xu

Jian Pu

Proceedings of the International Joint Conference on Neural Networks, 2021

Empirical or Invariant Risk Minimization? A Sample Complexity Perspective.

[BibT_eX]

[DOI]

Kartik Ahuja

Amit Dhurandhar

Karthikeyan Shanmugam

Proceedings of the 9th International Conference on Learning Representations, 2021

Tracking and decision of outsourcing service for auto parts.

[BibT_eX]

[DOI]

Proceedings of the DSIT 2021: 4th International Conference on Data Science and Information Technology, Shanghai, China, July 23, 2021

Zero-Shot Adversarial Quantization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Source-Free Domain Adaptation for Semantic Segmentation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2020

Adaptive multi-teacher multi-level knowledge distillation.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph Classification.

[BibT_eX]

[DOI]

CoRR, 2020

Learning from a Lightweight Teacher for Efficient Knowledge Distillation.

[BibT_eX]

[DOI]

CoRR, 2020

VSB2-Net: Visual-Semantic Bi-Branch Network for Zero-Shot Hashing.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Adaptive Structural Fingerprints for Graph Attention Networks.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Scaling Up Kernel SVM on Limited Resources: A Low-Rank Linearization Approach.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

False positive rate control for positive unlabeled learning.

[BibT_eX]

[DOI]

Neurocomputing, 2019

The Kelly Growth Optimal Portfolio with Ensemble Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Legislative Prediction with Political and Social Network Analysis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Minimum sensitivity based robust beamforming with eigenspace decomposition.

[BibT_eX]

[DOI]

Wei Liu

Multidimens. Syst. Signal Process., 2018

Multiple graph regularized graph transduction via greedy gradient Max-Cut.

[BibT_eX]

[DOI]

Inf. Sci., 2018

User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction.

[BibT_eX]

[DOI]

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Learning Sequential Correlation for User Generated Textual Content Popularity Prediction.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Factorization Meets Memory Network: Learning to Predict Activity Popularity.

[BibT_eX]

[DOI]

Wen Wang

Proceedings of the Database Systems for Advanced Applications, 2018

Hybrid Deep Sequential Modeling for Social Text-Driven Stock Prediction.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Tau-FPL: Tolerance-Constrained Learning in Linear Time.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Low-rank decomposition meets kernel learning: A generalized Nyström method.

[BibT_eX]

[DOI]

Artif. Intell., 2017

Glioma grading based on 3D multimodal convolutional neural network and privileged learning.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Boosting Alzheimer diagnosis accuracy with the help of incomplete privileged information.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016

Learning to Hash for Indexing Big Data - A Survey.

[BibT_eX]

[DOI]

Proc. IEEE, 2016

Multiple task learning with flexible structure regularization.

[BibT_eX]

[DOI]

Neurocomputing, 2016

A Bayesian Hashing approach and its application to face recognition.

[BibT_eX]

[DOI]

Neurocomputing, 2016

2015

Discriminative Structured Feature Engineering for Macroscale Brain Connectomes.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2015

Consistency-Driven Alternating Optimization for Multigraph Matching: A Unified Approach.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2015

Fusing Multi-Stream Deep Networks for Video Classification.

[BibT_eX]

[DOI]

CoRR, 2015

Deep Attributes from Context-Aware Regional Neural Codes.

[BibT_eX]

[DOI]

CoRR, 2015

An Efficient Semi-Supervised Clustering Algorithm with Sequential Constraints.

[BibT_eX]

[DOI]

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Non-transitive Hashing with Latent Similarity Components.

[BibT_eX]

[DOI]

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Portfolio Choices with Orthogonal Bandit Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Optimal Bayesian Hashing for Efficient Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Multi-View Point Registration via Alternating Optimization.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Probabilistic Attributed Hashing.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Legislative Prediction with Political and Social Network Analysis.

[BibT_eX]

[DOI]

Encyclopedia of Social Network Analysis and Mining, 2014

Self-Taught Spectral Clustering via Constraint Augmentation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Vijil Chenthamarakshan

Scott W. Fancher

DongPing Fang

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2014, 2014

Which Looks Like Which: Exploring Inter-class Relationships in Fine-Grained Visual Categorization.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2014, 2014

Privacy and Regression Model Preserved Learning.

[BibT_eX]

[DOI]

Jinfeng Yi

Rong Jin

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Query-Adaptive Image Search With Hash Codes.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2013

Semi-supervised learning using greedy max-cut.

[BibT_eX]

[DOI]

Tony Jebara

J. Mach. Learn. Res., 2013

Single Network Relational Transductive Learning.

[BibT_eX]

[DOI]

Amit Dhurandhar

J. Artif. Intell. Res., 2013

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

[BibT_eX]

[DOI]

CoRR, 2013

Active Learning to Rank using Pairwise Supervision.

[BibT_eX]

[DOI]

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Comparing apples to oranges: a scalable solution with heterogeneous hashing.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Multiple Task Learning Using Iteratively Reweighted Least Square.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2013, 2013

Exploring Patient Risk Groups with Incomplete Knowledge.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Fast Pairwise Query Selection for Large-Scale Active Learning to Rank.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Quantifying and Recommending Expertise When New Skills Emerge.

[BibT_eX]

[DOI]

DongPing Fang

Karthikeyan Natesan Ramamurthy

John H. Bauer

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Large-Scale Video Hashing via Structure Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2013

Learning Hash Codes with Listwise Supervision.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

Fast Semantic Diffusion for Large-Scale Context-Based Image and Video Annotation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2012

Robust and Scalable Graph-Based Semisupervised Learning.

[BibT_eX]

[DOI]

Wei Liu

Proc. IEEE, 2012

Semi-Supervised Hashing for Large-Scale Search.

[BibT_eX]

[DOI]

Sanjiv Kumar

IEEE Trans. Pattern Anal. Mach. Intell., 2012

Decision trees for heterogeneous dose-response signal analysis.

[BibT_eX]

[DOI]

Moninder Singh

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.

[BibT_eX]

[DOI]

Moninder Singh

Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, 2012

Legislative Prediction via Random Walks over a Heterogeneous Graph.

[BibT_eX]

[DOI]

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Compact Hyperplane Hashing with Bilinear Functions.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

An Analytics Approach for Proactively Combating Voluntary Attrition of Employees.

[BibT_eX]

[DOI]

Moninder Singh

Alisia R. Gill

Patricia I. Faur

Raphael Ezry

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Supervised hashing with kernels.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Semi-Supervised Learning for Scalable and Robust Visual Search.

[BibT_eX]

[DOI]

PhD thesis, 2011

Lost in binarization: query-adaptive ranking for similar image search with compact codes.

[BibT_eX]

[DOI]

Yu-Gang Jiang

Christoforos Christoforou

Proceedings of the 1st International Conference on Multimedia Retrieval, 2011

Hashing with Graphs.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Cortically-Coupled Computer Vision.

[BibT_eX]

[DOI]

Proceedings of the Brain-Computer Interfaces, 2010

In a Blink of an Eye and a Switch of a Transistor: Cortically Coupled Computer Vision.

[BibT_eX]

[DOI]

Proc. IEEE, 2010

Sequential Projection Learning for Hashing with Compact Codes.

[BibT_eX]

[DOI]

Sanjiv Kumar

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Semi-supervised hashing for scalable image retrieval.

[BibT_eX]

[DOI]

Ondrej Kumar

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.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2009

VIREO/DVMM at TRECVID 2009: High-Level Feature Extraction, Automatic Video Search, and Content-Based Copy Detection.

[BibT_eX]

[DOI]

Proceedings of the TRECVID 2009 workshop participants notebook papers, 2009

Brain state decoding for rapid image retrieval.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Multimedia 2009, 2009

Graph construction and <i>b</i>-matching for semi-supervised learning.

[BibT_eX]

[DOI]

Tony Jebara

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Domain adaptive semantic diffusion for large scale context-based video annotation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Yu-Gang Jiang

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Graph transduction via alternating minimization.

[BibT_eX]

[DOI]

Tony Jebara