PhD in Computer Science
University of Southern California, 1989
Conference paper
Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation
Conference paper
Gaining wisdom from setbacks: Aligning large language models via mistake analysis
Conference paper
Gaussian shell maps for efficient 3D human generation
Conference paper
GeoDiffusion: Text-prompted geometric control for object detection data generation
Conference paper
MagicDrive: Street view generation with diverse 3D geometry control
Conference paper
Rethinking targeted adversarial attacks for neural machine translation
Conference paper
Article
Article
Temporal Link Prediction: A Unified Framework, Taxonomy, and Review
Article
Article
Adaptive online replanning with diffusion models
Conference paper
CLIP2: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data
Conference paper
Detection recovery in online multi-object tracking with sparse graph tracker
Conference paper
ILA-DA: Improving transferability of intermediate level attack with data augmentation
Conference paper
Learning 3D-Aware Image Synthesis with Unknown Pose Distribution
Conference paper
Mixed Autoencoder for Self-supervised Visual Representation Learning
Conference paper
SongRewriter: A Chinese Song Rewriting System with Controllable Content and Rhyme Scheme
Conference paper
SVQNet: Sparse voxel-adjacent query network for 4D spatio-temporal LiDAR semantic segmentation
Conference paper
Towards general error diagnosis via behavioral testing in machine translation
Conference paper
Towards Reference-free Text Simplification Evaluation with a BERT Siamese Network Architecture
Conference paper
The United States COVID-19 Forecast Hub dataset
Article
3D-Aware Indoor Scene Synthesis with Depth Priors
Conference paper
AdaAug: Learning class- and instance-adaptive data augmentation policies
Conference paper
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving
Conference paper
Controlled text generation using dictionary prior in variational autoencoders
Conference paper
Earthformer: Exploring space-time transformers for earth system forecasting
Conference paper
Improving 3D-aware image synthesis with a geometry-aware discriminator
Conference paper
Probabilistic Continuous-Time Whole-Graph Forecasting
Conference paper
Deep learning and the weather forecasting problem -- precipitation nowcasting
Book chapter
Clickstream Knowledge Tracing: Modeling How Students Answer Interactive Online Questions
Conference paper
MODALS: Modality-agnostic automated data augmentation in the latent space
Conference paper
MultiSiam: Self-supervised multi-instance siamese representation learning for autonomous driving
Conference paper
Probing Toxic Content in Large Pre-trained Language Models
Conference paper
Stereo Waterdrop Removal with Row-wise Dilated Attention
Conference paper
A Survey on Bayesian Deep Learning
Article
Comparative Evaluation of Label-Agnostic Selection Bias in Multilingual Hate Speech Datasets
Conference paper
Conference paper
Article
Point-Cloud-Based Place Recognition Using CNN Feature Extraction
Article
Conference paper
Knowledge Query Network for Knowledge Tracing: How Knowledge Interacts With Skills
Conference paper
Marginalized Average Attentional Network for Weakly-supervised Learning
Conference paper
Multilingual and Multi-Aspect Hate Speech Analysis
Conference paper
Semi-semantic Line-Cluster Assisted Monocular SLAM for Indoor Environments
Conference paper
Addressing Two Problems in Deep Knowledge Tracing via Prediction-Consistent Regularization
Conference paper
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs
Conference paper
Conference paper
Learning unmanned aerial vehicle control for autonomous target following
Conference paper
Article
Deep Learning for Precipitation Nowcasting: A Benchmark and a New Model
Conference paper
Dynamic Key-Value Memory Networks for Knowledge Tracing
Conference paper
Gesture-based piloting of an aerial robot using monocular vision
Conference paper
Lattice long short-term memory for human action recognition
Conference paper
Relational Deep Learning: a Deep Latent Variable Model for Link Prediction
Conference paper
Sparse Boltzmann Machines With Structure Learning as Applied to Text Analysis
Conference paper
Spatiotemporal Modeling for Crowd Counting in Videos
Conference paper
Temporal dynamic graph LSTM for action-driven video object detection
Conference paper
Visual Object Tracking for Unmanned Aerial Vehicles: a Benchmark and New Motion Models
Conference paper
Spectral Multimodal Hashing and Its Application to Multimedia Retrieval
Article
Towards Bayesian Deep Learning: A Framework and Some Existing Methods
Article
Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks
Conference paper
Natural parameter networks: a class of probabilistic neural networks
Conference paper
Natural-Parameter Networks: A Class of Probabilistic Neural Networks
Conference paper
The Visual Object Tracking VOT2016 Challenge Results
Conference paper
Instance-Specific Canonical Correlation Analysis
Article
Bayesian Adaptive Matrix Factorization with Automatic Model Selection
Conference paper
Collaborative Deep Learning for Recommender Systems
Conference paper
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Conference paper
DevNet: A Deep Event Network for Multimedia Event Detection and Evidence Recounting
Conference paper
Human Action Recognition Using Factorized Spatio-temporal Convolutional Networks
Conference paper
Probabilistic Graphical Models for Boosting Cardinal and Ordinal Peer Grading in MOOCs
Conference paper
Relational stacked denoising autoencoder for tag recommendation
Conference paper
Temporal Models for Predicting Student Dropout in Massive Open Online Courses
Conference paper
The Visual Object Tracking VOT2015 Challenge Results
Conference paper
Understanding and Diagnosing Visual Tracking Systems
Conference paper
A Regularization Approach to Learning Task Relationships in Multitask Learning
Article
Multicategory large margin classification methods: Hinge losses vs. coherence functions
Article
Semiparametric preference learning
Article
Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data
Conference paper
Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data
Conference paper
Active Hashing and Its Application to Image and Text Retrieval
Article
Multilabel Relationship Learning
Article
Bayesian robust matrix factorization for image and video processing
Conference paper
Learning a deep compact image representation for visual tracking
Conference paper
Learning High-order Task Relationships in Multi-task Learning
Conference paper
Online robust non-negative dictionary learning for visual tracking
Conference paper
SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering
Conference paper
Solution Path for Manifold Regularized Semisupervised Classification
Article
Transfer Metric Learning With Semi-supervised Extension
Article
A probabilistic approach to robust matrix factorization
Conference paper
A probabilistic model for multimodal hash function learning
Conference paper
Co-Regularized Hashing for Multimodal Data
Conference paper
Multi-task Boosting by Exploiting Task Relationships
Conference paper
Overlapping Community Detection via Bounded Nonnegative Matrix Tri-factorization
Conference paper
Sparse probabilistic relational projection
Conference paper
Supervised Probabilistic Robust Embedding With Sparse Noise
Conference paper
Semisupervised Generalized Discriminant Analysis
Article
A convex formulation of modularity maximization for community detection
Conference paper
Discriminative Experimental Design
Conference paper
Generalized latent factor models for social network analysis
Conference paper
Multi-task Learning in Heterogeneous Feature Spaces
Conference paper
Social relations model for collaborative filtering
Conference paper
A regularization framework for multiclass classification: A deterministic annealing approach
Article
MILD: Multiple-Instance Learning via Disambiguation
Article
A Convex Formulation for Learning Task Relationships in Multi-task Learning
Conference paper
Conference paper
Gaussian process latent random field
Conference paper
Multi-domain Collaborative Filtering
Conference paper
Multi-task Learning Using Generalized t Process
Conference paper
Multi-task Warped Gaussian Process for Personalized Age Estimation
Conference paper
Probabilistic Multi-task Feature Selection
Conference paper
SED: Supervised experimental design and its application to text classification
Conference paper
Transductive Learning on Adaptive Graphs
Conference paper
Transfer Metric Learning by Learning Task Relationships
Conference paper
Worst-case Linear Discriminant Analysis
Conference paper
Learning Inverse Dynamics by Gaussian Process Regression Under the Multi-task Learning Framework
Book chapter
Coherence functions for multicategory margin-based classification methods
Conference paper
Coherence functions for multicategory margin-based classification methods
Conference paper
Heteroscedastic Probabilistic Linear Discriminant Analysis With Semi-supervised Extension
Conference paper
Latent Wishart processes for relational kernel learning
Conference paper
Latent Wishart Processes for Relational Kernel Learning
Conference paper
Localized content-based image retrieval through evidence region identification
Conference paper
Conference paper
Relation Regularized Matrix Factorization
Conference paper
Semi-supervised Multi-task Regression
Conference paper
TagiCoFi: Tag informed collaborative filtering
Conference paper
A New Solution Path Algorithm in Support Vector Regression
Article
Article
Robust path-based spectral clustering
Article
Sliced coordinate analysis for effective dimension reduction and nonlinear extensions
Article
Human action recognition using local spatio-temporal discriminant embedding
Conference paper
Learning two-view stereo matching
Conference paper
Learning Two-View Stereo Matching
Conference paper
Posterior consistency of the Silverman g-prior in Bayesian model choice
Conference paper
Semi-Supervised Discriminant Analysis using robust path-based similarity
Conference paper
Semi-supervised Discriminant Analysis via CCCP
Conference paper
Structuring visual words in 3D for arbitrary-view object localization
Conference paper
A kernel approach for semisupervised metric learning
Article
Face recognition using a kernel fractional-step discriminant analysis algorithm
Article
Kernel-based distance metric learning for content-based image retrieval
Article
Learning the kernel matrix by maximizing a KFD-based class separability criterion
Article
Pulsing RoQ DDoS attack and defense scheme in mobile ad hoc networks
Article
Surrogate Maximization/Minimization Algorithms and Extensions
Article
A kernel path algorithm for support vector machines
Conference paper
A learning approach to spam detection based on social networks
Conference paper
A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning
Conference paper
Conference paper
Image hallucination using neighbor embedding over visual primitive manifolds
Conference paper
Kernel selection forl semi-supervised kernel machines
Conference paper
Locally smooth metric learning with application to image retrieval
Conference paper
Semi-supervised cast indexing for feature-length films
Conference paper
Surrogate maximization/minimization algorithms and extensions
Conference paper
The kernel path in kernelized LASSO
Conference paper
Extending kernel Fisher discriminant analysis with the weighted pairwise Chernoff criterion
Article
Article
Intrusion detection routers: Design, implementation. and evaluation using an experimental testbed
Article
Locally linear metric adaptation with application to semi-supervised clustering and image retrieval
Article
Model-based transductive learning of the kernel matrix
Article
Article
Robust locally linear embedding
Article
TCP performance evaluation over AODV and DSDV in RW and SN mobility models
Article
Throttling spoofed SYN flooding traffic at the source
Article
Book
A coordinated detection and response scheme for distributed denial-of-service attacks
Conference paper
A manifold regularization approach to calibration reduction for sensor-network based tracking
Conference paper
Defending against TCP SYN flooding attacks under different types of IP spoofing
Conference paper
Face recognition with image sets using hierarchically extracted exemplars from appearance manifolds
Conference paper
Conference paper
Graph Laplacian kernels for object classification from a single example
Conference paper
Kernel-based metric adaptation with pairwise constraints
Conference paper
Local discriminant embedding with tensor representation
Conference paper
Conference paper
Solution path for semi-supervised classification with manifold regularization
Conference paper
Conference paper
Two-dimensional solution path for support vector regression
Conference paper
Nonlinear dimensionality reduction for classification using kernel weighted subspace method
Conference paper
Nonlinear dimensionality reduction for classification using kernel weighted subspace method
Conference paper
Robust path-based spectral clustering with application to image segmentation
Conference paper
Semisupervised metric learning by kernel matrix adaptation
Conference paper
Conference paper
Special issue on deformable models for image analysis and pattern recognition
Article
SVC2004: First international signature verification competition
Article
Time series clustering with ARMA mixtures
Article
Conference paper
Bayesian inference on principal component analysis using reversible jump markov chain Monte Carlo
Conference paper
Conference paper
Locally linear metric adaptation for semi-supervised clustering
Conference paper
Reinforcement learning in episodic non-stationary markovian environments
Conference paper
Super-resolution through neighbor embedding
Conference paper
Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model
Conference paper
Host-based intrusion detection using dynamic and static behavioral models
Article
Parametric distance metric learning with label information
Conference paper
Bidirectional deformable matching with application to handwritten character extraction
Article
On deformable models for visual pattern recognition
Article
Mixtures of ARMA models for model-based time series clustering
Conference paper
Multi-model approach to non-stationary reinforcement learning
Conference paper
Parzen-window network intrusion detectors
Conference paper
User profiling for intrusion detection using dynamic and static behavioral models
Conference paper
Article
Hidden-mode Markov decision processes for nonstationary sequential decision making
Book chapter
PenCalc: A novel application of on-line mathematical expression recognition technology
Conference paper
Solving hidden-mode Markov decision problems
Conference paper
Article
Mathematical expression recognition: a survey
Article
An environment model for nonstationary reinforcement learning
Conference paper
An Environment Model for Nonstationary Reinforcement Learning
Conference paper
Recognizing on-line handwritten alphanumeric characters through flexible structural matching
Article
A simple yet robust structural approach for on-line handwritten alphanumeric character recognition
Book chapter
Robust deformable matching for character extraction
Book chapter
Conference paper
Hidden-mode Markov decision processes
Conference paper
Article
Book
A simple yet robust structural approach for recognizing on-line handwritten alphanumeric characters
Conference paper
Elastic structural matching for on-line handwritten alphanumeric character recognition
Conference paper
Towards Efficient Structural Analysis of Mathematical Expressions
Conference paper
Article
Objective functions for training new hidden units in constructive neural networks
Article
On-line handwritten alphanumeric character recognition using dominant points in strokes
Article
Use of bias term in projection pursuit learning improves approximation and convergence properties
Article
Bayesian regularization in constructive neural networks
Conference paper
Competitive Mixture of Deformable Models for Pattern Classification
Conference paper
Predictive Q-routing: A memory-based reinforcement learning approach to adaptive traffic control
Conference paper
Recognition of handwritten digits using deformable model
Conference paper
Reference priors for neural networks: Laplace versus Gaussian
Conference paper
Chinese glyph generation using character composition and beauty evaluation metrics
Article
IMPROVING THE APPROXIMATION AND CONVERGENCE CAPABILITIES OF PROJECTION PURSUIT LEARNING
Article
A learning model for the selection of problem-solving strategies in continuous physical systems
Book chapter
A grammatical inference approach to on-line handwriting modeling and recognition: A pilot study
Conference paper
A HYBRID EXPERT SYSTEM FOR ERROR MESSAGE CLASSIFICATION
Conference paper
A unified framework for handwritten character recognition using deformable models
Conference paper
Efficient Cross-Validation for Feedforward Neural Networks
Conference paper
On-line handwritten alphanumeric character recognition using feature sequences
Conference paper
A theoretically sound learning algorithm for constructive neural networks
Conference paper
Constructive Neural Networks : Some Practical Considerations
Conference paper
Gabriel networks: Self-organizing neural networks for adaptive vector quantization
Conference paper
CONSTRUCTIVE NEURAL NETWORKS AS ESTIMATORS OF BAYESIAN DISCRIMINANT FUNCTIONS
Article
On Reducing Learning Time in Context-Dependent Mappings
Article
Experimental Analysis Of Input Weight Freezing In Constructive Neural Networks
Conference paper
Automatic determination of network size for supervised learning
Conference paper
A NEURAL-NETWORK APPROACH TO CONSTRUCTIVE INDUCTION
Conference paper
Using a context-sensitive learning network for robot arm control
Conference paper
A learning model for the selection of problem solving strategies in continuous physical system
Conference paper
Adaptive load balancing between mobile robots through learning in an artificial neural system
Conference paper
Game-theoretic interaction among stochastic learning networks for adaptive load balancing
Conference paper
Supervised learning of action probabilities in associative reinforcement learning
Conference paper
Context-free classification of Mandarin unvoiced initials
Article
A decentralized approach to the motion planning problem for multiple mobile robots
Conference paper
Coordinating multiple mobile robots for materials handling
Conference paper
Context-free classification of unvoiced consonants
Conference paper
Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation
Gaining wisdom from setbacks: Aligning large language models via mistake analysis
GeoDiffusion: Text-prompted geometric control for object detection data generation
MagicDrive: Street view generation with diverse 3D geometry control
Rethinking targeted adversarial attacks for neural machine translation
CLIP2: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data
Detection recovery in online multi-object tracking with sparse graph tracker
ILA-DA: Improving transferability of intermediate level attack with data augmentation
Learning 3D-Aware Image Synthesis with Unknown Pose Distribution
Mixed Autoencoder for Self-supervised Visual Representation Learning
SongRewriter: A Chinese Song Rewriting System with Controllable Content and Rhyme Scheme
SVQNet: Sparse voxel-adjacent query network for 4D spatio-temporal LiDAR semantic segmentation
Towards general error diagnosis via behavioral testing in machine translation
Towards Reference-free Text Simplification Evaluation with a BERT Siamese Network Architecture
AdaAug: Learning class- and instance-adaptive data augmentation policies
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving
Controlled text generation using dictionary prior in variational autoencoders
Earthformer: Exploring space-time transformers for earth system forecasting
Improving 3D-aware image synthesis with a geometry-aware discriminator
Deep Learning for Precipitation Nowcasting: A Benchmark and a New Model
Gesture-based piloting of an aerial robot using monocular vision
Relational Deep Learning: a Deep Latent Variable Model for Link Prediction
Sparse Boltzmann Machines With Structure Learning as Applied to Text Analysis
Temporal dynamic graph LSTM for action-driven video object detection
Visual Object Tracking for Unmanned Aerial Vehicles: a Benchmark and New Motion Models
Bayesian Adaptive Matrix Factorization with Automatic Model Selection
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
DevNet: A Deep Event Network for Multimedia Event Detection and Evidence Recounting
Human Action Recognition Using Factorized Spatio-temporal Convolutional Networks
Probabilistic Graphical Models for Boosting Cardinal and Ordinal Peer Grading in MOOCs
Relational stacked denoising autoencoder for tag recommendation
Temporal Models for Predicting Student Dropout in Massive Open Online Courses
Bayesian robust matrix factorization for image and video processing
Learning a deep compact image representation for visual tracking
Learning High-order Task Relationships in Multi-task Learning
Online robust non-negative dictionary learning for visual tracking
SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering
A regularization framework for multiclass classification: A deterministic annealing approach
Learning Inverse Dynamics by Gaussian Process Regression Under the Multi-task Learning Framework
Coherence functions for multicategory margin-based classification methods
Coherence functions for multicategory margin-based classification methods
Heteroscedastic Probabilistic Linear Discriminant Analysis With Semi-supervised Extension
Localized content-based image retrieval through evidence region identification
Human action recognition using local spatio-temporal discriminant embedding
Posterior consistency of the Silverman g-prior in Bayesian model choice
Semi-Supervised Discriminant Analysis using robust path-based similarity
Structuring visual words in 3D for arbitrary-view object localization
Face recognition using a kernel fractional-step discriminant analysis algorithm
Kernel-based distance metric learning for content-based image retrieval
Learning the kernel matrix by maximizing a KFD-based class separability criterion
Pulsing RoQ DDoS attack and defense scheme in mobile ad hoc networks
Surrogate Maximization/Minimization Algorithms and Extensions
A learning approach to spam detection based on social networks
A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning
Image hallucination using neighbor embedding over visual primitive manifolds
Locally smooth metric learning with application to image retrieval
Surrogate maximization/minimization algorithms and extensions
Extending kernel Fisher discriminant analysis with the weighted pairwise Chernoff criterion
Intrusion detection routers: Design, implementation. and evaluation using an experimental testbed
Locally linear metric adaptation with application to semi-supervised clustering and image retrieval
TCP performance evaluation over AODV and DSDV in RW and SN mobility models
A coordinated detection and response scheme for distributed denial-of-service attacks
A manifold regularization approach to calibration reduction for sensor-network based tracking
Defending against TCP SYN flooding attacks under different types of IP spoofing
Face recognition with image sets using hierarchically extracted exemplars from appearance manifolds
Graph Laplacian kernels for object classification from a single example
Solution path for semi-supervised classification with manifold regularization
Special issue on deformable models for image analysis and pattern recognition
SVC2004: First international signature verification competition
Bayesian inference on principal component analysis using reversible jump markov chain Monte Carlo
Locally linear metric adaptation for semi-supervised clustering
Reinforcement learning in episodic non-stationary markovian environments
Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model
Recognizing on-line handwritten alphanumeric characters through flexible structural matching
Use of bias term in projection pursuit learning improves approximation and convergence properties
Chinese glyph generation using character composition and beauty evaluation metrics
IMPROVING THE APPROXIMATION AND CONVERGENCE CAPABILITIES OF PROJECTION PURSUIT LEARNING
A learning model for the selection of problem-solving strategies in continuous physical systems
Automatic determination of network size for supervised learning
Using a context-sensitive learning network for robot arm control
A learning model for the selection of problem solving strategies in continuous physical system
Adaptive load balancing between mobile robots through learning in an artificial neural system
Game-theoretic interaction among stochastic learning networks for adaptive load balancing
Supervised learning of action probabilities in associative reinforcement learning
Addressing Two Problems in Deep Knowledge Tracing via Prediction-Consistent Regularization
Conference paper
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs
Conference paper
Conference paper
Learning unmanned aerial vehicle control for autonomous target following
Conference paper
Article
Deep Learning for Precipitation Nowcasting: A Benchmark and a New Model
Conference paper
Dynamic Key-Value Memory Networks for Knowledge Tracing
Conference paper
Gesture-based piloting of an aerial robot using monocular vision
Conference paper
Lattice long short-term memory for human action recognition
Conference paper
Relational Deep Learning: a Deep Latent Variable Model for Link Prediction
Conference paper
Sparse Boltzmann Machines With Structure Learning as Applied to Text Analysis
Conference paper
Spatiotemporal Modeling for Crowd Counting in Videos
Conference paper
Temporal dynamic graph LSTM for action-driven video object detection
Conference paper
Visual Object Tracking for Unmanned Aerial Vehicles: a Benchmark and New Motion Models
Conference paper
Spectral Multimodal Hashing and Its Application to Multimedia Retrieval
Article
Towards Bayesian Deep Learning: A Framework and Some Existing Methods
Article
Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks
Conference paper
Natural parameter networks: a class of probabilistic neural networks
Conference paper
Natural-Parameter Networks: A Class of Probabilistic Neural Networks
Conference paper
The Visual Object Tracking VOT2016 Challenge Results
Conference paper
Instance-Specific Canonical Correlation Analysis
Article
Bayesian Adaptive Matrix Factorization with Automatic Model Selection
Conference paper
Collaborative Deep Learning for Recommender Systems
Conference paper
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Conference paper
DevNet: A Deep Event Network for Multimedia Event Detection and Evidence Recounting
Conference paper
Human Action Recognition Using Factorized Spatio-temporal Convolutional Networks
Conference paper
Probabilistic Graphical Models for Boosting Cardinal and Ordinal Peer Grading in MOOCs
Conference paper
Relational stacked denoising autoencoder for tag recommendation
Conference paper
Temporal Models for Predicting Student Dropout in Massive Open Online Courses
Conference paper
The Visual Object Tracking VOT2015 Challenge Results
Conference paper
Understanding and Diagnosing Visual Tracking Systems
Conference paper
A Regularization Approach to Learning Task Relationships in Multitask Learning
Article
Multicategory large margin classification methods: Hinge losses vs. coherence functions
Article
Semiparametric preference learning
Article
Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data
Conference paper
Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data
Conference paper
Active Hashing and Its Application to Image and Text Retrieval
Article
Multilabel Relationship Learning
Article
Bayesian robust matrix factorization for image and video processing
Conference paper
Learning a deep compact image representation for visual tracking
Conference paper
Learning High-order Task Relationships in Multi-task Learning
Conference paper
Online robust non-negative dictionary learning for visual tracking
Conference paper
SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering
Conference paper
Solution Path for Manifold Regularized Semisupervised Classification
Article
Transfer Metric Learning With Semi-supervised Extension
Article
A probabilistic approach to robust matrix factorization
Conference paper
A probabilistic model for multimodal hash function learning
Conference paper
Co-Regularized Hashing for Multimodal Data
Conference paper
Multi-task Boosting by Exploiting Task Relationships
Conference paper
Overlapping Community Detection via Bounded Nonnegative Matrix Tri-factorization
Conference paper
Sparse probabilistic relational projection
Conference paper
Supervised Probabilistic Robust Embedding With Sparse Noise
Conference paper
Semisupervised Generalized Discriminant Analysis
Article
A convex formulation of modularity maximization for community detection
Conference paper
Discriminative Experimental Design
Conference paper
Generalized latent factor models for social network analysis
Conference paper
Multi-task Learning in Heterogeneous Feature Spaces
Conference paper
Social relations model for collaborative filtering
Conference paper
A regularization framework for multiclass classification: A deterministic annealing approach
Article
MILD: Multiple-Instance Learning via Disambiguation
Article
A Convex Formulation for Learning Task Relationships in Multi-task Learning
Conference paper
Conference paper
Gaussian process latent random field
Conference paper
Multi-domain Collaborative Filtering
Conference paper
Multi-task Learning Using Generalized t Process
Conference paper
Multi-task Warped Gaussian Process for Personalized Age Estimation
Conference paper
Probabilistic Multi-task Feature Selection
Conference paper
SED: Supervised experimental design and its application to text classification
Conference paper
Transductive Learning on Adaptive Graphs
Conference paper
Transfer Metric Learning by Learning Task Relationships
Conference paper
Worst-case Linear Discriminant Analysis
Conference paper
Learning Inverse Dynamics by Gaussian Process Regression Under the Multi-task Learning Framework
Book chapter
Coherence functions for multicategory margin-based classification methods
Conference paper
Coherence functions for multicategory margin-based classification methods
Conference paper
Heteroscedastic Probabilistic Linear Discriminant Analysis With Semi-supervised Extension
Conference paper
Latent Wishart processes for relational kernel learning
Conference paper
Latent Wishart Processes for Relational Kernel Learning
Conference paper
Localized content-based image retrieval through evidence region identification
Conference paper
Conference paper
Relation Regularized Matrix Factorization
Conference paper
Semi-supervised Multi-task Regression
Conference paper
TagiCoFi: Tag informed collaborative filtering
Conference paper
A New Solution Path Algorithm in Support Vector Regression
Article
Article
Robust path-based spectral clustering
Article
Sliced coordinate analysis for effective dimension reduction and nonlinear extensions
Article
Human action recognition using local spatio-temporal discriminant embedding
Conference paper
Learning two-view stereo matching
Conference paper
Learning Two-View Stereo Matching
Conference paper
Posterior consistency of the Silverman g-prior in Bayesian model choice
Conference paper
Semi-Supervised Discriminant Analysis using robust path-based similarity
Conference paper
Semi-supervised Discriminant Analysis via CCCP
Conference paper
Structuring visual words in 3D for arbitrary-view object localization
Conference paper
A kernel approach for semisupervised metric learning
Article
Face recognition using a kernel fractional-step discriminant analysis algorithm
Article
Kernel-based distance metric learning for content-based image retrieval
Article
Learning the kernel matrix by maximizing a KFD-based class separability criterion
Article
Pulsing RoQ DDoS attack and defense scheme in mobile ad hoc networks
Article
Surrogate Maximization/Minimization Algorithms and Extensions
Article
A kernel path algorithm for support vector machines
Conference paper
A learning approach to spam detection based on social networks
Conference paper
A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning
Conference paper
Conference paper
Image hallucination using neighbor embedding over visual primitive manifolds
Conference paper
Kernel selection forl semi-supervised kernel machines
Conference paper
Locally smooth metric learning with application to image retrieval
Conference paper
Semi-supervised cast indexing for feature-length films
Conference paper
Surrogate maximization/minimization algorithms and extensions
Conference paper
The kernel path in kernelized LASSO
Conference paper
Extending kernel Fisher discriminant analysis with the weighted pairwise Chernoff criterion
Article
Article
Intrusion detection routers: Design, implementation. and evaluation using an experimental testbed
Article
Locally linear metric adaptation with application to semi-supervised clustering and image retrieval
Article
Model-based transductive learning of the kernel matrix
Article
Article
Robust locally linear embedding
Article
TCP performance evaluation over AODV and DSDV in RW and SN mobility models
Article
Throttling spoofed SYN flooding traffic at the source
Article
Book
A coordinated detection and response scheme for distributed denial-of-service attacks
Conference paper
A manifold regularization approach to calibration reduction for sensor-network based tracking
Conference paper
Defending against TCP SYN flooding attacks under different types of IP spoofing
Conference paper
Face recognition with image sets using hierarchically extracted exemplars from appearance manifolds
Conference paper
Conference paper
Graph Laplacian kernels for object classification from a single example
Conference paper
Kernel-based metric adaptation with pairwise constraints
Conference paper
Local discriminant embedding with tensor representation
Conference paper
Conference paper
Solution path for semi-supervised classification with manifold regularization
Conference paper
Conference paper
Two-dimensional solution path for support vector regression
Conference paper
Nonlinear dimensionality reduction for classification using kernel weighted subspace method
Conference paper
Nonlinear dimensionality reduction for classification using kernel weighted subspace method
Conference paper
Robust path-based spectral clustering with application to image segmentation
Conference paper
Semisupervised metric learning by kernel matrix adaptation
Conference paper
Conference paper
Special issue on deformable models for image analysis and pattern recognition
Article
SVC2004: First international signature verification competition
Article
Time series clustering with ARMA mixtures
Article
Conference paper
Bayesian inference on principal component analysis using reversible jump markov chain Monte Carlo
Conference paper
Conference paper
Locally linear metric adaptation for semi-supervised clustering
Conference paper
Reinforcement learning in episodic non-stationary markovian environments
Conference paper
Super-resolution through neighbor embedding
Conference paper
Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model
Conference paper
Host-based intrusion detection using dynamic and static behavioral models
Article
Parametric distance metric learning with label information
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COMP4211 | Machine Learning |
COMP4981 | Final Year Project |
COMP4211 | Machine Learning |
COMP4910 | Co-op Program |
COMP4981 | Final Year Project |
COMP4981H | Final Year Thesis |
COMP2711 | Discrete Mathematical Tools for Computer Science |
COMP4981 | Final Year Project |
COMP4981H | Final Year Thesis |
COMP4910 | Co-op Program |
COMP4981 | Final Year Project |
COMP4981H | Final Year Thesis |
No Teaching Assignments |
YU, Ruonan
(co-supervision)
Computer Science and Engineering
JIANG, Chenhan
Computer Science and Engineering
WU, Junjie
(co-supervision)
Individualized Interdisciplinary Program (Artificial Intelligence)
ZHOU, Siyuan
Computer Science and Engineering
CHUNG, Tsz Ting
Computer Science and Engineering
XU, Shuangjie
Computer Science and Engineering
CHEN, Kai
Computer Science and Engineering
QIN, Meng
Computer Science and Engineering
CHEUNG, Tsz Him
Computer Science and Engineering
LAI, Wing Yin
Computer Science and Engineering
LAU, Ying Yee Ava
Computer Science and Engineering
LEUNG, Chun Hin
Computer Science and Engineering
LO, Tak Yan
Computer Science and Engineering
WONG, Chi Ho
Computer Science and Engineering
TANG, Zheng
Computer Science and Engineering
GAO, Zhihan
Computer Science and Engineering( Completed in 2024 )
SHI, Zifan
Computer Science and Engineering( Completed in 2024 )
OUSIDHOUM, Nedjma Djouhra
(co-supervision)
Computer Science and Engineering( Completed in 2021 )
FANG, Xianghong
(co-supervision)
Individualized Interdisciplinary Program (Artificial Intelligence)( Completed in 2022 )
HAO, Guangyuan
(co-supervision)
Individualized Interdisciplinary Program (Artificial Intelligence)( Completed in 2022 )
HYUN, Jeongseok
Computer Science and Engineering( Completed in 2022 )
SUN, Yusen
Computer Science and Engineering( Completed in 2022 )
WANG, Yanxin
(co-supervision)
Individualized Interdisciplinary Program (Artificial Intelligence)( Completed in 2022 )
YAN, Chiu Wai
Computer Science and Engineering( Completed in 2022 )