Deng Cai

Orcid: 0000-0001-9817-4065

Affiliations:
  • Zhejiang University, College of Computer Science, State Key Laboratory of CAD&CG, Hangzhou, China
  • University of Illinois at Urbana-Champaign, Department of Computer Science, Urbana, IL, USA (PhD 2009)


According to our database1, Deng Cai authored at least 309 papers between 2003 and 2024.

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

Timeline

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Bibliography

2024
LoRA-Composer: Leveraging Low-Rank Adaptation for Multi-Concept Customization in Training-Free Diffusion Models.
CoRR, 2024

NeRF-Det++: Incorporating Semantic Cues and Perspective-aware Depth Supervision for Indoor Multi-View 3D Detection.
CoRR, 2024

Model Compression and Efficient Inference for Large Language Models: A Survey.
CoRR, 2024

UniHDA: Towards Universal Hybrid Domain Adaptation of Image Generators.
CoRR, 2024

Towards Fine-Grained HBOE with Rendered Orientation Set and Laplace Smoothing.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Regulating Intermediate 3D Features for Vision-Centric Autonomous Driving.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Semi-supervised 3D Object Detection with PatchTeacher and PillarMix.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP without Training.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Optimizing traffic efficiency via a reinforcement learning approach based on time allocation.
Int. J. Mach. Learn. Cybern., October, 2023

Urban Traffic Light Control via Active Multi-Agent Communication and Supply-Demand Modeling.
IEEE Trans. Knowl. Data Eng., April, 2023

Neural collapse inspired attraction-repulsion-balanced loss for imbalanced learning.
Neurocomputing, March, 2023

X-View: Non-Egocentric Multi-View 3D Object Detector.
IEEE Trans. Image Process., 2023

OBMO: One Bounding Box Multiple Objects for Monocular 3D Object Detection.
IEEE Trans. Image Process., 2023

MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection.
CoRR, 2023

TeCH: Text-guided Reconstruction of Lifelike Clothed Humans.
CoRR, 2023

NormKD: Normalized Logits for Knowledge Distillation.
CoRR, 2023

Learning Occupancy for Monocular 3D Object Detection.
CoRR, 2023

AutoTaskFormer: Searching Vision Transformers for Multi-task Learning.
CoRR, 2023

APPT : Asymmetric Parallel Point Transformer for 3D Point Cloud Understanding.
CoRR, 2023

Neural Collapse Inspired Federated Learning with Non-iid Data.
CoRR, 2023

General Rotation Invariance Learning for Point Clouds via Weight-Feature Alignment.
CoRR, 2023

LUT-NN: Towards Unified Neural Network Inference by Table Lookup.
CoRR, 2023

LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup.
Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

One-shot Implicit Animatable Avatars with Model-based Priors.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards In-Distribution Compatible Out-of-Distribution Detection.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Apparel-Invariant Feature Learning for Person Re-Identification.
IEEE Trans. Multim., 2022

LookCom: Learning Optimal Network for Community Detection.
IEEE Trans. Knowl. Data Eng., 2022

Toward Better Accuracy-Efficiency Trade-Offs: Divide and Co-Training.
IEEE Trans. Image Process., 2022

Progressive Transfer Learning.
IEEE Trans. Image Process., 2022

High Dimensional Similarity Search With Satellite System Graph: Efficiency, Scalability, and Unindexed Query Compatibility.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

PointCSE: Context-sensitive encoders for efficient 3D object detection from point cloud.
Int. J. Mach. Learn. Cybern., 2022

OBMO: One Bounding Box Multiple Objects for Monocular 3D Object Detection.
CoRR, 2022

Boosting Semi-Supervised 3D Object Detection with Semi-Sampling.
CoRR, 2022

Towards In-distribution Compatibility in Out-of-distribution Detection.
CoRR, 2022

Domain Reconstruction and Resampling for Robust Salient Object Detection.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection.
Proceedings of the Tenth International Conference on Learning Representations, 2022

CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph.
Proceedings of the Computer Vision - ECCV 2022, 2022

Towards Efficient Adversarial Training on Vision Transformers.
Proceedings of the Computer Vision - ECCV 2022, 2022

DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

Lidar Point Cloud Guided Monocular 3D Object Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

CLRNet: Cross Layer Refinement Network for Lane Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning to Affiliate: Mutual Centralized Learning for Few-shot Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SCALoss: Side and Corner Aligned Loss for Bounding Box Regression.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

DMN4: Few-Shot Learning via Discriminative Mutual Nearest Neighbor Neural Network.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A Revisit of Hashing Algorithms for Approximate Nearest Neighbor Search.
IEEE Trans. Knowl. Data Eng., 2021

ES-Net: Erasing Salient Parts to Learn More in Re-Identification.
IEEE Trans. Image Process., 2021

Complementary Pseudo Labels for Unsupervised Domain Adaptation On Person Re-Identification.
IEEE Trans. Image Process., 2021

AdaDB: An adaptive gradient method with data-dependent bound.
Neurocomputing, 2021

COP: customized correlation-based Filter level pruning method for deep CNN compression.
Neurocomputing, 2021

Self-supervised attention flow for dialogue state tracking.
Neurocomputing, 2021

TTFNeXt for real-time object detection.
Neurocomputing, 2021

Learning to Caricature via Semantic Shape Transform.
Int. J. Comput. Vis., 2021

CrossFormer: A Versatile Vision Transformer Based on Cross-scale Attention.
CoRR, 2021

Learning to Affiliate: Mutual Centralized Learning for Few-shot Classification.
CoRR, 2021

Attacking Adversarial Attacks as A Defense.
CoRR, 2021

Discriminative-Generative Dual Memory Video Anomaly Detection.
CoRR, 2021

Lidar Point Cloud Guided Monocular 3D Object Detection.
CoRR, 2021

OCM3D: Object-Centric Monocular 3D Object Detection.
CoRR, 2021

SparsePoint: Fully End-to-End Sparse 3D Object Detector.
CoRR, 2021

Do Wider Neural Networks Really Help Adversarial Robustness?
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

TopNet: Learning from Neural Topic Model to Generate Long Stories.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

MeLL: Large-scale Extensible User Intent Classification for Dialogue Systems with Meta Lifelong Learning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework.
Proceedings of the 38th International Conference on Machine Learning, 2021

Salient Object Ranking with Position-Preserved Attention.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

RESA: Recurrent Feature-Shift Aggregator for Lane Detection.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Addressing the Item Cold-Start Problem by Attribute-Driven Active Learning.
IEEE Trans. Knowl. Data Eng., 2020

Query-Biased Self-Attentive Network for Query-Focused Video Summarization.
IEEE Trans. Image Process., 2020

SIF: Self-Inspirited Feature Learning for Person Re-Identification.
IEEE Trans. Image Process., 2020

Moment Retrieval via Cross-Modal Interaction Networks With Query Reconstruction.
IEEE Trans. Image Process., 2020

Video Dialog via Multi-Grained Convolutional Self-Attention Context Multi-Modal Networks.
IEEE Trans. Circuits Syst. Video Technol., 2020

Decouple co-adaptation: Classifier randomization for person re-identification.
Neurocomputing, 2020

Bi-Decoder Augmented Network for Neural Machine Translation.
Neurocomputing, 2020

LAMP: Label Augmented Multimodal Pretraining.
CoRR, 2020

SplitNet: Divide and Co-training.
CoRR, 2020

EasyTransfer - A Simple and Scalable Deep Transfer Learning Platform for NLP Applications.
CoRR, 2020

Geometry-based Occlusion-Aware Unsupervised Stereo Matching for Autonomous Driving.
CoRR, 2020

Spherical Knowledge Distillation.
CoRR, 2020

Accelerate Your CNN from Three Dimensions: A Comprehensive Pruning Framework.
CoRR, 2020

Does Network Width Really Help Adversarial Robustness?
CoRR, 2020

Apparel-invariant Feature Learning for Apparel-changed Person Re-identification.
CoRR, 2020

Stable Learning via Causality-based Feature Rectification.
CoRR, 2020

Boundary-Aware Dense Feature Indicator for Single-Stage 3D Object Detection from Point Clouds.
CoRR, 2020

Large Scale Abstractive Multi-Review Summarization (LSARS) via Aspect Alignment.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

MaCAR: Urban Traffic Light Control via Active Multi-agent Communication and Action Rectification.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Adversarial Mutual Information for Text Generation.
Proceedings of the 37th International Conference on Machine Learning, 2020

Training-Time-Friendly Network for Real-Time Object Detection.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Question-Driven Purchasing Propensity Analysis for Recommendation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

PI-RCNN: An Efficient Multi-Sensor 3D Object Detector with Point-Based Attentive Cont-Conv Fusion Module.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Adversarial-Learned Loss for Domain Adaptation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Sparse Coding Guided Spatiotemporal Feature Learning for Abnormal Event Detection in Large Videos.
IEEE Trans. Multim., 2019

Long-Form Video Question Answering via Dynamic Hierarchical Reinforced Networks.
IEEE Trans. Image Process., 2019

Multi-Turn Video Question Answering via Hierarchical Attention Context Reinforced Networks.
IEEE Trans. Image Process., 2019

On the Diversity of Conditional Image Synthesis With Semantic Layouts.
IEEE Trans. Image Process., 2019

Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph.
Proc. VLDB Endow., 2019

Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction.
J. Mach. Learn. Res., 2019

DBP: Discrimination Based Block-Level Pruning for Deep Model Acceleration.
CoRR, 2019

Correlation Maximized Structural Similarity Loss for Semantic Segmentation.
CoRR, 2019

Improving Semantic Segmentation via Dilated Affinity.
CoRR, 2019

Satellite System Graph: Towards the Efficiency Up-Boundary of Graph-Based Approximate Nearest Neighbor Search.
CoRR, 2019

Region Mutual Information Loss for Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Minimax Game for Instance based Selective Transfer Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

AtSNE: Efficient and Robust Visualization on GPU through Hierarchical Optimization.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Localizing Unseen Activities in Video via Image Query.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Progressive Transfer Learning for Person Re-identification.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Weakly-Supervised Caricature Face Parsing Through Domain Adaptation.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Attribute Attention for Semantic Disambiguation in Zero-Shot Learning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Domain Adaptation for Semantic Segmentation With Maximum Squares Loss.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Cross-domain Attention Network with Wasserstein Regularizers for E-commerce Search.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Reinforced Dynamic Reasoning for Conversational Question Generation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Social-Aware Movie Recommendation via Multimodal Network Learning.
IEEE Trans. Multim., 2018

Weakly-Supervised Deep Embedding for Product Review Sentiment Analysis.
IEEE Trans. Knowl. Data Eng., 2018

Identifying Genetic Risk Factors for Alzheimer's Disease via Shared Tree-Guided Feature Learning Across Multiple Tasks.
IEEE Trans. Knowl. Data Eng., 2018

A Better Way to Attend: Attention With Trees for Video Question Answering.
IEEE Trans. Image Process., 2018

Multi-Task Vehicle Detection With Region-of-Interest Voting.
IEEE Trans. Image Process., 2018

Multi-label active learning based on submodular functions.
Neurocomputing, 2018

Split-Net: Improving face recognition in one forwarding operation.
Neurocomputing, 2018

Improving face recognition with domain adaptation.
Neurocomputing, 2018

Deep Rotation Equivariant Network.
Neurocomputing, 2018

The forgettable-watcher model for video question answering.
Neurocomputing, 2018

Deep feature based contextual model for object detection.
Neurocomputing, 2018

Question retrieval for community-based question answering via heterogeneous social influential network.
Neurocomputing, 2018

Dial2Desc: End-to-end Dialogue Description Generation.
CoRR, 2018

Textually Guided Ranking Network for Attentional Image Retweet Modeling.
CoRR, 2018

Addressing the Item Cold-start Problem by Attribute-driven Active Learning.
CoRR, 2018

Dialogue Act Recognition via CRF-Attentive Structured Network.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

MacNet: Transferring Knowledge from Machine Comprehension to Sequence-to-Sequence Models.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Brand-level Ranking System with the Customized Attention-GRU Model.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Open-Ended Long-form Video Question Answering via Adaptive Hierarchical Reinforced Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Attentional Image Retweet Modeling via Multi-Faceted Ranking Network Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Multi-Turn Video Question Answering via Multi-Stream Hierarchical Attention Context Network.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Translating Embeddings for Knowledge Graph Completion with Relation Attention Mechanism.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Device-Aware Rule Recommendation for the Internet of Things.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Discourse Marker Augmented Network with Reinforcement Learning for Natural Language Inference.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

PixelLink: Detecting Scene Text via Instance Segmentation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
On efficiently finding reverse k-nearest neighbors over uncertain graphs.
VLDB J., 2017

Unifying the Video and Question Attentions for Open-Ended Video Question Answering.
IEEE Trans. Image Process., 2017

Depth Image Inpainting: Improving Low Rank Matrix Completion With Low Gradient Regularization.
IEEE Trans. Image Process., 2017

Constrained Low-Rank Learning Using Least Squares-Based Regularization.
IEEE Trans. Cybern., 2017

Sparse Learning with Stochastic Composite Optimization.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Pre-training the deep generative models with adaptive hyperparameter optimization.
Neurocomputing, 2017

Special issue on selected and extended papers from the 2015 International Conference on Intelligence Science and Big Data Engineering (IScIDE 2015).
Neurocomputing, 2017

On the Diversity of Realistic Image Synthesis.
CoRR, 2017

A Revisit on Deep Hashings for Large-scale Content Based Image Retrieval.
CoRR, 2017

Keyword-based Query Comprehending via Multiple Optimized-Demand Augmentation.
CoRR, 2017

Smarnet: Teaching Machines to Read and Comprehend Like Human.
CoRR, 2017

Learning Graph-Level Representation for Drug Discovery.
CoRR, 2017

The Forgettable-Watcher Model for Video Question Answering.
CoRR, 2017

MEMEN: Multi-layer Embedding with Memory Networks for Machine Comprehension.
CoRR, 2017

Fast Approximate Nearest Neighbor Search With Navigating Spreading-out Graphs.
CoRR, 2017

User Personalized Satisfaction Prediction via Multiple Instance Deep Learning.
Proceedings of the 26th International Conference on World Wide Web, 2017

Video Question Answering via Hierarchical Dual-Level Attention Network Learning.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Spatiotemporal Multi-Task Network for Human Activity Understanding.
Proceedings of the on Thematic Workshops of ACM Multimedia 2017, Mountain View, CA, USA, October 23, 2017

What to Do Next: Modeling User Behaviors by Time-LSTM.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Video Question Answering via Hierarchical Spatio-Temporal Attention Networks.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Microblog Sentiment Classification via Recurrent Random Walk Network Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Link Prediction via Ranking Metric Dual-Level Attention Network Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Robust Asymmetric Bayesian Adaptive Matrix Factorization.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Stacked Similarity-Aware Autoencoders.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Reverse Top-k Geo-Social Keyword Queries in Road Networks.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Community-Based Question Answering via Asymmetric Multi-Faceted Ranking Network Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Atom Decomposition with Adaptive Basis Selection Strategy for Matrix Completion.
ACM Trans. Multim. Comput. Commun. Appl., 2016

User Preference Learning for Online Social Recommendation.
IEEE Trans. Knowl. Data Eng., 2016

Graph Regularized Feature Selection with Data Reconstruction.
IEEE Trans. Knowl. Data Eng., 2016

Improving Collaborative Recommendation via User-Item Subgroups.
IEEE Trans. Knowl. Data Eng., 2016

Heterogeneous hypergraph embedding for document recommendation.
Neurocomputing, 2016

Orthogonal Projective Sparse Coding for image representation.
Neurocomputing, 2016

A-Optimal Non-negative Projection with Hessian regularization.
Neurocomputing, 2016

Tracking people in RGBD videos using deep learning and motion clues.
Neurocomputing, 2016

Online robust principal component analysis via truncated nuclear norm regularization.
Neurocomputing, 2016

Atom Decomposition Based Subgradient Descent for matrix classification.
Neurocomputing, 2016

Scaling Up Sparse Support Vector Machine by Simultaneous Feature and Sample Reduction.
CoRR, 2016

Stereo Matching by Joint Energy Minimization.
CoRR, 2016

Relational Multi-Manifold Co-Clustering.
CoRR, 2016

EFANNA : An Extremely Fast Approximate Nearest Neighbor Search Algorithm Based on kNN Graph.
CoRR, 2016

Question Retrieval for Community-based Question Answering via Heterogeneous Network Integration Learning.
CoRR, 2016

User Personalized Satisfaction Prediction via Multiple Instance Deep Learning.
CoRR, 2016

Which to View: Personalized Prioritization for Broadcast Emails.
Proceedings of the 25th International Conference on World Wide Web, 2016

Distributed Representations of Expertise.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Partial Multi-Modal Sparse Coding via Adaptive Similarity Structure Regularization.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

The Million Domain Challenge: Broadcast Email Prioritization by Cross-domain Recommendation.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Expert Finding for Community-Based Question Answering via Ranking Metric Network Learning.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Non-Negative Matrix Factorization with Sinkhorn Distance.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Weakly-Supervised Deep Learning for Customer Review Sentiment Classification.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Accelerated Sparse Linear Regression via Random Projection.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
EMR: A Scalable Graph-Based Ranking Model for Content-Based Image Retrieval.
IEEE Trans. Knowl. Data Eng., 2015

Treelets Binary Feature Retrieval for Fast Keypoint Recognition.
IEEE Trans. Cybern., 2015

Large Scale Spectral Clustering Via Landmark-Based Sparse Representation.
IEEE Trans. Cybern., 2015

Sparse fixed-rank representation for robust visual analysis.
Signal Process., 2015

Opinions matter: a general approach to user profile modeling for contextual suggestion.
Inf. Retr. J., 2015

Large scale multi-class classification with truncated nuclear norm regularization.
Neurocomputing, 2015

Unsupervised document summarization from data reconstruction perspective.
Neurocomputing, 2015

Multi-view based multi-label propagation for image annotation.
Neurocomputing, 2015

Event Recovery by Faster Truncated Nuclear Norm Minimization.
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques, 2015

Compressed Spectral Regression for Efficient Nonlinear Dimensionality Reduction.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Towards Less Biased Web Search.
Proceedings of the 2015 International Conference on The Theory of Information Retrieval, 2015

2014
Feature Correlation Hypergraph: Exploiting High-order Potentials for Multimodal Recognition.
IEEE Trans. Cybern., 2014

Constrained Concept Factorization for Image Representation.
IEEE Trans. Cybern., 2014

Fast and Accurate Hashing Via Iterative Nearest Neighbors Expansion.
IEEE Trans. Cybern., 2014

Density Sensitive Hashing.
IEEE Trans. Cybern., 2014

Cross domain recommendation based on multi-type media fusion.
Neurocomputing, 2014

Active learning on manifolds.
Neurocomputing, 2014

Manifold optimal experimental design via dependence maximization for active learning.
Neurocomputing, 2014

Spatially correlated nonnegative matrix factorization.
Neurocomputing, 2014

Discriminative Orthogonal Nonnegative matrix factorization with flexibility for data representation.
Expert Syst. Appl., 2014

Iterative Multi-View Hashing for Cross Media Indexing.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Sparse Learning for Stochastic Composite Optimization.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Who Also Likes It? Generating the Most Persuasive Social Explanations in Recommender Systems.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Mapping Users across Networks by Manifold Alignment on Hypergraph.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Semi-Supervised Nonlinear Hashing Using Bootstrap Sequential Projection Learning.
IEEE Trans. Knowl. Data Eng., 2013

Co-Occurrence-Based Diffusion for Expert Search on the Web.
IEEE Trans. Knowl. Data Eng., 2013

Parallel Field Ranking.
ACM Trans. Knowl. Discov. Data, 2013

Nonnegative Local Coordinate Factorization for Image Representation.
IEEE Trans. Image Process., 2013

Relational Multimanifold Coclustering.
IEEE Trans. Cybern., 2013

Multi-Manifold Concept Factorization for Data Clustering.
Int. J. Softw. Informatics, 2013

Subspace learning via Locally Constrained A-optimal nonnegative projection.
Neurocomputing, 2013

Whom to mention: expand the diffusion of tweets by @ recommendation on micro-blogging systems.
Proceedings of the 22nd International World Wide Web Conference, 2013

Parallel field alignment for cross media retrieval.
Proceedings of the ACM Multimedia Conference, 2013

Salient Object Detection via Fast Iterative Truncated Nuclear Norm Recovery.
Proceedings of the Intelligence Science and Big Data Engineering, 2013

A Unified Approximate Nearest Neighbor Search Scheme by Combining Data Structure and Hashing.
Proceedings of the IJCAI 2013, 2013

Bilevel Visual Words Coding for Image Classification.
Proceedings of the IJCAI 2013, 2013

Harmonious Hashing.
Proceedings of the IJCAI 2013, 2013

Active Learning Based on Local Representation.
Proceedings of the IJCAI 2013, 2013

Complementary Projection Hashing.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Compressed Hashing.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Locally Discriminative Coclustering.
IEEE Trans. Knowl. Data Eng., 2012

Manifold Adaptive Experimental Design for Text Categorization.
IEEE Trans. Knowl. Data Eng., 2012

Locally discriminative topic modeling.
Pattern Recognit., 2012

Constrained Nonnegative Matrix Factorization for Image Representation.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Density Sensitive Hashing
CoRR, 2012

An exploration of improving collaborative recommender systems via user-item subgroups.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Search web images using objects, backgrounds and conditions.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Unsupervised face-name association via commute distance.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Spatially Correlated Nonnegative Matrix Factorization for Image Analysis.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

A Convolutional Treelets Binary Feature Approach to Fast Keypoint Recognition.
Proceedings of the Computer Vision - ECCV 2012, 2012

Metric learning with two-dimensional smoothness for visual analysis.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Accelerating locality preserving nonnegative matrix factorization.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

A Bregman Divergence Optimization Framework for Ranking on Data Manifold and Its New Extensions.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Random Projection with Filtering for Nearly Duplicate Search.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Document Summarization Based on Data Reconstruction.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Speed up kernel discriminant analysis.
VLDB J., 2011

Laplacian Regularized Gaussian Mixture Model for Data Clustering.
IEEE Trans. Knowl. Data Eng., 2011

Locally Consistent Concept Factorization for Document Clustering.
IEEE Trans. Knowl. Data Eng., 2011

Variational inference with graph regularization for image annotation.
ACM Trans. Intell. Syst. Technol., 2011

Graph Regularized Sparse Coding for Image Representation.
IEEE Trans. Image Process., 2011

Active Learning Based on Locally Linear Reconstruction.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Graph Regularized Nonnegative Matrix Factorization for Data Representation.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Kernel approximately harmonic projection.
Neurocomputing, 2011

Efficient manifold ranking for image retrieval.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Sparse concept coding for visual analysis.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Large Scale Spectral Clustering with Landmark-Based Representation.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Document recommendation in social tagging services.
Proceedings of the 19th International Conference on World Wide Web, 2010

Self-taught hashing for fast similarity search.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Unsupervised feature selection for multi-cluster data.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Error-correcting output hashing in fast similarity search.
Proceedings of the Second International Conference on Internet Multimedia Computing and Service, 2010

Laplacian Co-hashing of Terms and Documents.
Proceedings of the Advances in Information Retrieval, 2010

Gaussian Mixture Model with Local Consistency.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Spectral Regression: A Regression Framework for Efficient Regularized Subspace Learning
PhD thesis, 2009

Convex experimental design using manifold structure for image retrieval.
Proceedings of the 17th International Conference on Multimedia 2009, 2009

Semi-supervised topic modeling for image annotation.
Proceedings of the 17th International Conference on Multimedia 2009, 2009

Locality Preserving Nonnegative Matrix Factorization.
Proceedings of the IJCAI 2009, 2009

Probabilistic dyadic data analysis with local and global consistency.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Active subspace learning.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008
Learning a Maximum Margin Subspace for Image Retrieval.
IEEE Trans. Knowl. Data Eng., 2008

SRDA: An Efficient Algorithm for Large-Scale Discriminant Analysis.
IEEE Trans. Knowl. Data Eng., 2008

Topic modeling with network regularization.
Proceedings of the 17th International Conference on World Wide Web, 2008

Non-negative Matrix Factorization on Manifold.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Training Linear Discriminant Analysis in Linear Time.
Proceedings of the 24th International Conference on Data Engineering, 2008

Modeling hidden topics on document manifold.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Sparse Projections over Graph.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Clustering and searching WWW images using link and page layout analysis.
ACM Trans. Multim. Comput. Commun. Appl., 2007

Laplacian optimal design for image retrieval.
Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

Spectral regression: a unified subspace learning framework for content-based image retrieval.
Proceedings of the 15th International Conference on Multimedia 2007, 2007

Regularized regression on image manifold for retrieval.
Proceedings of the 9th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2007

Locality Sensitive Discriminant Analysis.
Proceedings of the IJCAI 2007, 2007

Efficient Kernel Discriminant Analysis via Spectral Regression.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Spectral Regression: A Unified Approach for Sparse Subspace Learning.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Semi-supervised Discriminant Analysis.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Spectral Regression for Efficient Regularized Subspace Learning.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Learning a Spatially Smooth Subspace for Face Recognition.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Regularized locality preserving indexing via spectral regression.
Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, 2007

Isometric Projection.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Orthogonal Laplacianfaces for Face Recognition.
IEEE Trans. Image Process., 2006

An algorithm for semi-supervised learning in image retrieval.
Pattern Recognit., 2006

Tensor space model for document analysis.
Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

2005
Document Clustering Using Locality Preserving Indexing.
IEEE Trans. Knowl. Data Eng., 2005

Orthogonal locality preserving indexing.
Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

Community Mining from Multi-relational Networks.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Tensor Subspace Analysis.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Laplacian Score for Feature Selection.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Image clustering with tensor representation.
Proceedings of the 13th ACM International Conference on Multimedia, 2005

Mining hidden community in heterogeneous social networks.
Proceedings of the 3rd international workshop on Link discovery, 2005

Statistical and computational analysis of locality preserving projection.
Proceedings of the Machine Learning, 2005

Neighborhood Preserving Embedding.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

2004
Locality preserving indexing for document representation.
Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

Block-based web search.
Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

Block-level link analysis.
Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

Locality preserving clustering for image database.
Proceedings of the 12th ACM International Conference on Multimedia, 2004

Hierarchical clustering of WWW image search results using visual, textual and link information.
Proceedings of the 12th ACM International Conference on Multimedia, 2004

Organizing WWW images based on the analysis of page layout and Web link structure.
Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004

2003
Improving pseudo-relevance feedback in web information retrieval using web page segmentation.
Proceedings of the Twelfth International World Wide Web Conference, 2003

Microsoft Research Asia at the Web Track of TREC 2003.
Proceedings of The Twelfth Text REtrieval Conference, 2003

Extracting Content Structure for Web Pages Based on Visual Representation.
Proceedings of the Web Technologies and Applications, 5th Asian-Pacific Web Conference, 2003


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