Jieping Ye

According to our database1, Jieping Ye authored at least 442 papers between 2000 and 2024.

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Bibliography

2024
Exploring the Application of Large-Scale Pre-Trained Models on Adverse Weather Removal.
IEEE Trans. Image Process., 2024

INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection.
CoRR, 2024

Bootstrapping Audio-Visual Segmentation by Strengthening Audio Cues.
CoRR, 2024

2023
Offline Model-Based Adaptable Policy Learning for Decision-Making in Out-of-Support Regions.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Putting Teams into the Gig Economy: A Field Experiment at a Ride-Sharing Platform.
Manag. Sci., September, 2023

A survey on machine learning from few samples.
Pattern Recognit., July, 2023

A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications.
IEEE Trans. Knowl. Data Eng., April, 2023

Object Detection in 20 Years: A Survey.
Proc. IEEE, March, 2023

LLaFS: When Large-Language Models Meet Few-Shot Segmentation.
CoRR, 2023

Concise and Organized Perception Facilitates Large Language Models for Deductive Reasoning.
CoRR, 2023

Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias.
CoRR, 2023

A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects.
CoRR, 2023

Self-Learning Symmetric Multi-view Probabilistic Clustering.
CoRR, 2023

OFCOURSE: A Multi-Agent Reinforcement Learning Environment for Order Fulfillment.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

KDD-2023 Workshop on Decision Intelligence and Analytics for Online Marketplaces.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

The 12th International Workshop on Urban Computing.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Towards Capacity-Aware Broker Matching: From Recommendation to Assignment.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Uncertainty-aware Unsupervised Multi-Object Tracking.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Rethinking Learning-Based Method for Lossless Genome Compression.
Proceedings of the IEEE International Conference on Acoustics, 2023

Ultra-High Resolution Segmentation with Ultra-Rich Context: A Novel Benchmark.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Robust Unsupervised Video Anomaly Detection by Multipath Frame Prediction.
IEEE Trans. Neural Networks Learn. Syst., 2022

Learning to Delay in Ride-Sourcing Systems: A Multi-Agent Deep Reinforcement Learning Framework.
IEEE Trans. Knowl. Data Eng., 2022

Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning.
ACM Trans. Knowl. Discov. Data, 2022

A Synopsis Based Approach for Itemset Frequency Estimation over Massive Multi-Transaction Stream.
ACM Trans. Knowl. Discov. Data, 2022

Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning.
IEEE Trans. Intell. Transp. Syst., 2022

CoDriver ETA: Combine Driver Information in Estimated Time of Arrival by Driving Style Learning Auxiliary Task.
IEEE Trans. Intell. Transp. Syst., 2022

A Multi-Task Matrix Factorized Graph Neural Network for Co-Prediction of Zone-Based and OD-Based Ride-Hailing Demand.
IEEE Trans. Intell. Transp. Syst., 2022

Scalable Distributed Hashing for Approximate Nearest Neighbor Search.
IEEE Trans. Image Process., 2022

PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

ResNorm: Tackling Long-tailed Degree Distribution Issue in Graph Neural Networks via Normalization.
CoRR, 2022

Stochastic Gradient Descent without Full Data Shuffle.
CoRR, 2022

Policy Evaluation for Temporal and/or Spatial Dependent Experiments in Ride-sourcing Platforms.
CoRR, 2022

Rethinking Graph Convolutional Networks in Knowledge Graph Completion.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

The 5th Artificial Intelligence of Things (AIoT) Workshop.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

The 11th International Workshop on Urban Computing.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

DeepSpatial'22: The 3rd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
Equilibrium Analysis of Urban Traffic Networks with Ride-Sourcing Services.
Transp. Sci., 2021

Multi-Resemblance Multi-Target Low-Rank Coding for Prediction of Cognitive Decline With Longitudinal Brain Images.
IEEE Trans. Medical Imaging, 2021

SlimML: Removing Non-Critical Input Data in Large-Scale Iterative Machine Learning.
IEEE Trans. Knowl. Data Eng., 2021

Adversarial Training for Solving Inverse Problems in Image Processing.
IEEE Trans. Image Process., 2021

Fast kNN Search in Weighted Hamming Space With Multiple Tables.
IEEE Trans. Image Process., 2021

Building Personalized Transportation Model for Online Taxi-Hailing Demand Prediction.
IEEE Trans. Cybern., 2021

Multi-Grained Attention Networks for Single Image Super-Resolution.
IEEE Trans. Circuits Syst. Video Technol., 2021

Autonomous Driving: Part 2-Learning and Cognition [From the Guest Editors].
IEEE Signal Process. Mag., 2021

Partially observable environment estimation with uplift inference for reinforcement learning based recommendation.
Mach. Learn., 2021

Predicting future cognitive decline with hyperbolic stochastic coding.
Medical Image Anal., 2021

On Finite-Time Convergence of Actor-Critic Algorithm.
IEEE J. Sel. Areas Inf. Theory, 2021

Real-world Ride-hailing Vehicle Repositioning using Deep Reinforcement Learning.
CoRR, 2021

Offline Model-based Adaptable Policy Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DeepSpatial'21: 2nd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

The 4th Artificial Intelligence of Things (AIoT) Workshop.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Reinforcement Learning for Ridesharing: A Survey.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Automatic Detection of Alzheimer's Disease Using Spontaneous Speech Only.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game.
Proceedings of the 38th International Conference on Machine Learning, 2021

Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions.
Proceedings of the 38th International Conference on Machine Learning, 2021

Multi-Objective Distributional Reinforcement Learning for Large-Scale Order Dispatching.
Proceedings of the IEEE International Conference on Data Mining, 2021

FMA-ETA: Estimating Travel Time Entirely Based on FFN with Attention.
Proceedings of the IEEE International Conference on Acoustics, 2021

Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Attention-Based Deep Ensemble Net for Large-Scale Online Taxi-Hailing Demand Prediction.
IEEE Trans. Intell. Transp. Syst., 2020

Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis.
IEEE Trans. Big Data, 2020

Autonomous Driving: Part 1-Sensing and Perception [From the Guest Editors].
IEEE Signal Process. Mag., 2020

Ride-Hailing Order Dispatching at DiDi via Reinforcement Learning.
INFORMS J. Appl. Anal., 2020

Successive Projection for Solving Systems of Nonlinear Equations/Inequalities.
CoRR, 2020

Domain Adaptation with Incomplete Target Domains.
CoRR, 2020

Joint predictions of multi-modal ride-hailing demands: a deep multi-task multigraph learning-based approach.
CoRR, 2020

Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction.
CoRR, 2020

Meta Graph Attention on Heterogeneous Graph with Node-Edge Co-evolution.
CoRR, 2020

Learning from Very Few Samples: A Survey.
CoRR, 2020

Single-Timescale Stochastic Nonconvex-Concave Optimization for Smooth Nonlinear TD Learning.
CoRR, 2020

A Transductive Multi-Head Model for Cross-Domain Few-Shot Learning.
CoRR, 2020

Ensemble Model with Batch Spectral Regularization and Data Blending for Cross-Domain Few-Shot Learning with Unlabeled Data.
CoRR, 2020

Fusion Recurrent Neural Network.
CoRR, 2020

Feature Transformation Ensemble Model with Batch Spectral Regularization for Cross-Domain Few-Shot Classification.
CoRR, 2020

Sequential Sentence Matching Network for Multi-turn Response Selection in Retrieval-based Chatbots.
CoRR, 2020

Mutual Learning Network for Multi-Source Domain Adaptation.
CoRR, 2020

Augmented Parallel-Pyramid Net for Attention Guided Pose-Estimation.
CoRR, 2020

Upper Confidence Primal-Dual Optimization: Stochastically Constrained Markov Decision Processes with Adversarial Losses and Unknown Transitions.
CoRR, 2020

A Reinforcement Learning Framework for Time-Dependent Causal Effects Evaluation in A/B Testing.
CoRR, 2020

Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

DiDi's Machine Translation System for WMT2020.
Proceedings of the Fifth Conference on Machine Translation, 2020

Deep Natural Language Processing for Search and Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Predicting Individual Treatment Effects of Large-scale Team Competitions in a Ride-sharing Economy.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Dynamic Heterogeneous Graph Neural Network for Real-time Event Prediction.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Towards Building an Intelligent Chatbot for Customer Service: Learning to Respond at the Appropriate Time.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

HetETA: Heterogeneous Information Network Embedding for Estimating Time of Arrival.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

CompactETA: A Fast Inference System for Travel Time Prediction.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Constructing Geographic and Long-term Temporal Graph for Traffic Forecasting.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Road Network Metric Learning for Estimated Time of Arrival.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

A Multi-Modal Approach for Driver Gaze Prediction to Remove Identity Bias.
Proceedings of the ICMI '20: International Conference on Multimodal Interaction, 2020

Multi-modal Fusion Using Spatio-temporal and Static Features for Group Emotion Recognition.
Proceedings of the ICMI '20: International Conference on Multimodal Interaction, 2020

Real Time Object Detection for Traffic Based on Knowledge Distillation: 3<sup>rd</sup> Place Solution to Pair Competition.
Proceedings of the 2020 IEEE International Conference on Multimedia & Expo Workshops, 2020

Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

AHINE: Adaptive Heterogeneous Information Network Embedding.
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

Bi-Dimensional Feature Alignment for Cross-Domain Object Detection.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Adaptive Object Detection with Dual Multi-label Prediction.
Proceedings of the Computer Vision - ECCV 2020, 2020

Deep Adversarial Decomposition: A Unified Framework for Separating Superimposed Images.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

PropagationNet: Propagate Points to Curve to Learn Structure Information.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Joint Inverse Reinforcement Learning and Deep Learning Model for Drivers' Behavioral Prediction.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Masked-field Pre-training for User Intent Prediction.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

An Attention-Based Graph Neural Network for Heterogeneous Structural Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Hexagon-Based Convolutional Neural Network for Supply-Demand Forecasting of Ride-Sourcing Services.
IEEE Trans. Intell. Transp. Syst., 2019

A Unified Model for Joint Normalization and Differential Gene Expression Detection in RNA-Seq Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference From fMRI Data.
IEEE Trans. Biomed. Eng., 2019

A Distributed Computing Platform for fMRI Big Data Analytics.
IEEE Trans. Big Data, 2019

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

Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets.
J. Mach. Learn. Res., 2019

Multi-task learning based survival analysis for multi-source block-wise missing data.
Neurocomputing, 2019

Building Effective Large-Scale Traffic State Prediction System: Traffic4cast Challenge Solution.
CoRR, 2019

Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network.
CoRR, 2019

AHINE: Adaptive Heterogeneous Information Network Embedding.
CoRR, 2019

Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle.
CoRR, 2019

AutoSlim: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates.
CoRR, 2019

Multi-Modal Graph Interaction for Multi-Graph Convolution Network in Urban Spatiotemporal Forecasting.
CoRR, 2019

Where to Find Next Passengers on E-hailing Platforms? - A Markov Decision Process Approach.
CoRR, 2019

Object Detection in 20 Years: A Survey.
CoRR, 2019

D<sup>2</sup>-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios.
CoRR, 2019

POI Semantic Model with a Deep Convolutional Structure.
CoRR, 2019

Optimizing Online Matching for Ride-Sourcing Services with Multi-Agent Deep Reinforcement Learning.
CoRR, 2019

Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning.
CoRR, 2019

Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning.
Proceedings of the World Wide Web Conference, 2019

Graph-Based Semi-Supervised Learning with Non-ignorable Non-response.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Transportation: A Data Driven Approach.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

A Deep Value-network Based Approach for Multi-Driver Order Dispatching.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Deep Reinforcement Learning with Applications in Transportation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Automatic Dialogue Summary Generation for Customer Service.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

An Attention-Based Hybrid Network for Automatic Detection of Alzheimer's Disease from Narrative Speech.
Proceedings of the Interspeech 2019, 2019

Deep Multi-Task Learning with Adversarial-and-Cooperative Nets.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Multi-task Dictionary Learning Based on Convolutional Neural Networks for Longitudinal Clinical Score Predictions in Alzheimer's Disease.
Proceedings of the Human Brain and Artificial Intelligence - First International Workshop, 2019

Deep Reinforcement Learning for Multi-driver Vehicle Dispatching and Repositioning Problem.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

InBEDE: Integrating Contextual Bandit with TD Learning for Joint Pricing and Dispatch of Ride-Hailing Platforms.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Cooperation-Aware Task Assignment in Spatial Crowdsourcing.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

DBUS: Human Driving Behavior Understanding System.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Generative Adversarial Training for Weakly Supervised Cloud Matting.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Recommendation-based Team Formation for On-demand Taxi-calling Platforms.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

CIKM 2019 Workshop on Artificial Intelligence in Transportation (AI in transportation).
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Origin-destination Flow Prediction with Vehicle Trajectory Data and Semi-supervised Recurrent Neural Network.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

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

Road Traffic Speed Prediction: A Probabilistic Model Fusing Multi-Source Data.
IEEE Trans. Knowl. Data Eng., 2018

Multifeature, Sparse-Based Approach for Defects Detection and Classification in Semiconductor Units.
IEEE Trans Autom. Sci. Eng., 2018

Order Dispatch in Price-aware Ridesharing.
Proc. VLDB Endow., 2018

A Unified Approach to Route Planning for Shared Mobility.
Proc. VLDB Endow., 2018

Safe Feature Screening for Generalized LASSO.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning.
CoRR, 2018

Dynamic Pricing in Spatial Crowdsourcing: A Matching-Based Approach.
Proceedings of the 2018 International Conference on Management of Data, 2018

Taxi or Hitchhiking: Predicting Passenger's Preferred Service on Ride Sharing Platforms.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Big Data at Didi Chuxing.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Multi-Task Learning based Survival Analysis for Predicting Alzheimer's Disease Progression with Multi-Source Block-wise Missing Data.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Large-Scale Targeted Marketing by Supervised PageRank with Seeds.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

Large-Scale Order Dispatch in On-Demand Ride-Hailing Platforms: A Learning and Planning Approach.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Learning to Estimate the Travel Time.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

TINET: Learning Invariant Networks via Knowledge Transfer.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Learning Adversarial Networks for Semi-Supervised Text Classification via Policy Gradient.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Multi-task Representation Learning for Travel Time Estimation.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Multi-task sparse screening for predicting future clinical scores using longitudinal cortical thickness measures.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Human-Centric Urban Transit Evaluation and Planning.
Proceedings of the IEEE International Conference on Data Mining, 2018

Deep Reinforcement Learning with Knowledge Transfer for Online Rides Order Dispatching.
Proceedings of the IEEE International Conference on Data Mining, 2018

Did You Enjoy the Ride? Understanding Passenger Experience via Heterogeneous Network Embedding.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Margin Based PU Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Feature Constrained Multi-Task Learning Models for Spatiotemporal Event Forecasting.
IEEE Trans. Knowl. Data Eng., 2017

Flexible Online Task Assignment in Real-Time Spatial Data.
Proc. VLDB Endow., 2017

Task fMRI data analysis based on supervised stochastic coordinate coding.
Medical Image Anal., 2017

A Unified Neural Network Approach for Estimating Travel Time and Distance for a Taxi Trip.
CoRR, 2017

Identifying Genetic Risk Factors via Sparse Group Lasso with Group Graph Structure.
CoRR, 2017

Multi-task Dictionary Learning based Convolutional Neural Network for Computer aided Diagnosis with Longitudinal Images.
CoRR, 2017

Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics.
CoRR, 2017

Nonconvex One-bit Single-label Multi-label Learning.
CoRR, 2017

Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression.
CoRR, 2017

Pruning Decision Trees via Max-Heap Projection.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Computational Drug Discovery with Dyadic Positive-Unlabeled Learning.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Randomization or Condensation?: Linear-Cost Matrix Sketching Via Cascaded Compression Sampling.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

A Taxi Order Dispatch Model based On Combinatorial Optimization.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Functional Annotation of Human Protein Coding Isoforms via Non-convex Multi-Instance Learning.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Template-guided Functional Network Identification via Supervised Dictionary Learning.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Empowering cortical thickness measures in clinical diagnosis of Alzheimer's disease with spherical sparse coding.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Multi-source Multi-target Dictionary Learning for Prediction of Cognitive Decline.
Proceedings of the Information Processing in Medical Imaging, 2017

Robust Self-Tuning Sparse Subspace Clustering.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Multi-task Survival Analysis.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

DeepSD: Supply-Demand Prediction for Online Car-Hailing Services Using Deep Neural Networks.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016
Jointly Modeling Label and Feature Heterogeneity in Medical Informatics.
ACM Trans. Knowl. Discov. Data, 2016

An Efficient Algorithm For Weak Hierarchical Lasso.
ACM Trans. Knowl. Discov. Data, 2016

Guest Editors' Introduction: Special issue on deep learning with applications to visual representation and analysis.
Signal Process. Image Commun., 2016

LSSLP - Local structure sensitive label propagation.
Inf. Sci., 2016

Multidimensional folding for sinusoidal order selection.
Digit. Signal Process., 2016

Detection of number of components in CANDECOMP/PARAFAC models via minimum description length.
Digit. Signal Process., 2016

Seeing the Forest from the Trees in Two Looks: Matrix Sketching by Cascaded Bilateral Sampling.
CoRR, 2016

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

A Non-convex One-Pass Framework for Generalized Factorization Machines and Rank-One Matrix Sensing.
CoRR, 2016

A Non-convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix Sensing.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Embedded sparse representation of fMRI data via group-wise dictionary optimization.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Large-Scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Hyperbolic Space Sparse Coding with Its Application on Prediction of Alzheimer's Disease in Mild Cognitive Impairment.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Annealed Sparsity via Adaptive and Dynamic Shrinking.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Absolute Fused Lasso and Its Application to Genome-Wide Association Studies.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Predict Risk of Relapse for Patients with Multiple Stages of Treatment of Depression.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

A Multi-Task Learning Formulation for Survival Analysis.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Parallel Lasso Screening for Big Data Optimization.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Applying sparse coding to surface multivariate tensor-based morphometry to predict future cognitive decline.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Modeling functional network dynamics via multi-scale dictionary learning and network continuums.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Fast Laplace Approximation for Sparse Bayesian Spike and Slab Models.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Multi-feature sparse-based defect detection and classification in semiconductor units.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Transfer Learning for Survival Analysis via Efficient L2, 1-Norm Regularized Cox Regression.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Persistent Homology in Sparse Regression and Its Application to Brain Morphometry.
IEEE Trans. Medical Imaging, 2015

A Reconstruction Error Based Framework for Multi-Label and Multi-View Learning.
IEEE Trans. Knowl. Data Eng., 2015

Querying Discriminative and Representative Samples for Batch Mode Active Learning.
ACM Trans. Knowl. Discov. Data, 2015

Holistic Atlases of Functional Networks and Interactions Reveal Reciprocal Organizational Architecture of Cortical Function.
IEEE Trans. Biomed. Eng., 2015

Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix Completion.
SIAM J. Sci. Comput., 2015

Fused Multiple Graphical Lasso.
SIAM J. Optim., 2015

Fused Lasso Screening Rules via the Monotonicity of Subdifferentials.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Active Batch Selection via Convex Relaxations with Guaranteed Solution Bounds.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Simultaneous pursuit of sparseness and rank structures for matrix decomposition.
J. Mach. Learn. Res., 2015

Lasso screening rules via dual polytope projection.
J. Mach. Learn. Res., 2015

Parallel Architecture With Resistive Crosspoint Array for Dictionary Learning Acceleration.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2015

Deep convolutional neural networks for annotating gene expression patterns in the mouse brain.
BMC Bioinform., 2015

Efficient nonconvex sparse group feature selection via continuous and discrete optimization.
Artif. Intell., 2015

Automated Gene Expression Pattern Annotation in the Mouse Brain.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

Melancholic Depression Prediction by Identifying Representative Features in Metabolic and Microarray Profiles with Missing Values.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

Session Introduction.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

Multi-Layer Feature Reduction for Tree Structured Group Lasso via Hierarchical Projection.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

HONOR: Hybrid Optimization for NOn-convex Regularized problems.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Recognizing Social Constructs from Textual Conversation.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Coupled Support Vector Machines for Supervised Domain Adaptation.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Modeling Task FMRI Data via Supervised Stochastic Coordinate Coding.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Multi-Task Learning for Spatio-Temporal Event Forecasting.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Structural Graphical Lasso for Learning Mouse Brain Connectivity.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Dynamic Poisson Autoregression for Influenza-Like-Illness Case Count Prediction.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Transfer Learning for Bilingual Content Classification.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Unified and Contrasting Cuts in Multiple Graphs: Application to Medical Imaging Segmentation.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

BatchRank: A Novel Batch Mode Active Learning Framework for Hierarchical Classification.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Boosting classification accuracy of diffusion MRI derived brain networks for the subtypes of mild cognitive impairment using higher order singular value decomposition.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Detecting genetic risk factors for Alzheimer's disease in whole genome sequence data via Lasso screening.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices.
Proceedings of the 32nd International Conference on Machine Learning, 2015

A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Efficient Approximate Solutions to Mutual Information Based Global Feature Selection.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Mitigating Effects of Non-ideal Synaptic Device Characteristics for On-chip Learning.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015

Technology-design co-optimization of resistive cross-point array for accelerating learning algorithms on chip.
Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015

2014
Bi-level multi-source learning for heterogeneous block-wise missing data.
NeuroImage, 2014

Analysis of sampling techniques for imbalanced data: An n = 648 ADNI study.
NeuroImage, 2014

Sparse trace norm regularization.
Comput. Stat., 2014

Generalization Bounds for Representative Domain Adaptation.
CoRR, 2014

Stochastic Coordinate Coding and Its Application for Drosophila Gene Expression Pattern Annotation.
CoRR, 2014

Linear Convergence of Variance-Reduced Projected Stochastic Gradient without Strong Convexity.
CoRR, 2014

Automated annotation of developmental stages of <i>Drosophila</i> embryos in images containing spatial patterns of expression.
Bioinform., 2014

myFX: a turn-key software for laboratory desktops to analyze spatial patterns of gene expression in <i>Drosophila</i> embryos.
Bioinform., 2014

Sparse Generalized Functional Linear Model for Predicting Remission Status of Depression Patients.
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014

Session introduction.
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014

A Safe Screening Rule for Sparse Logistic Regression.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Evaluating the predictive power of multivariate tensor-based morphometry in Alzheimer's disease progression via convex fused sparse group Lasso.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

From micro to macro: data driven phenotyping by densification of longitudinal electronic medical records.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Simultaneous feature and feature group selection through hard thresholding.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Efficient multi-task feature learning with calibration.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Scaling SVM and Least Absolute Deviations via Exact Data Reduction.
Proceedings of the 31th International Conference on Machine Learning, 2014

A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models.
Proceedings of the 31th International Conference on Machine Learning, 2014

Rank-One Matrix Pursuit for Matrix Completion.
Proceedings of the 31th International Conference on Machine Learning, 2014

Safe Screening with Variational Inequalities and Its Application to Lasso.
Proceedings of the 31th International Conference on Machine Learning, 2014

Geodesic Distance Function Learning via Heat Flow on Vector Fields.
Proceedings of the 31th International Conference on Machine Learning, 2014

Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint.
Proceedings of the 31th International Conference on Machine Learning, 2014

Image Cosegmentation via Multi-task Learning.
Proceedings of the British Machine Vision Conference, 2014

Neurophysics-inspired parallel architecture with resistive crosspoint array for dictionary learning.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014

Parallel Programming of Resistive Cross-point Array for Synaptic Plasticity.
Proceedings of the 5th Annual International Conference on Biologically Inspired Cognitive Architectures, 2014

Low-Rank and Sparse Multi-task Learning.
Proceedings of the Low-Rank and Sparse Modeling for Visual Analysis, 2014

2013
A framework for interactive image color editing.
Vis. Comput., 2013

On Similarity Preserving Feature Selection.
IEEE Trans. Knowl. Data Eng., 2013

Batch Mode Active Sampling Based on Marginal Probability Distribution Matching.
ACM Trans. Knowl. Discov. Data, 2013

Efficient Methods for Overlapping Group Lasso.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Tensor Completion for Estimating Missing Values in Visual Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

A Sparse Structure Learning Algorithm for Gaussian Bayesian Network Identification from High-Dimensional Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

A Convex Formulation for Learning a Shared Predictive Structure from Multiple Tasks.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Modeling disease progression via multi-task learning.
NeuroImage, 2013

Applying tensor-based morphometry to parametric surfaces can improve MRI-based disease diagnosis.
NeuroImage, 2013

Multi-stage multi-task feature learning.
J. Mach. Learn. Res., 2013

Efficient Mixed-Norm Regularization: Algorithms and Safe Screening Methods.
CoRR, 2013

Safe Screening With Variational Inequalities and Its Applicaiton to LASSO.
CoRR, 2013

Image-level and group-level models for Drosophila gene expression pattern annotation.
BMC Bioinform., 2013

Patient Risk Prediction Model via Top-k Stability Selection.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Multi-objective Multi-view Spectral Clustering via Pareto Optimization.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Session introduction.
Proceedings of the Biocomputing 2013: Proceedings of the Pacific Symposium, 2013

Lasso Screening Rules via Dual Polytope Projection.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

FeaFiner: biomarker identification from medical data through feature generalization and selection.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

An efficient ADMM algorithm for multidimensional anisotropic total variation regularization problems.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Multi-source learning with block-wise missing data for Alzheimer's disease prediction.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Robust principal component analysis via capped norms.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Active Learning from Relative Queries.
Proceedings of the IJCAI 2013, 2013

Efficient Sparse Group Feature Selection via Nonconvex Optimization.
Proceedings of the 30th International Conference on Machine Learning, 2013

A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems.
Proceedings of the 30th International Conference on Machine Learning, 2013

Joint Transfer and Batch-mode Active Learning.
Proceedings of the 30th International Conference on Machine Learning, 2013

Guaranteed Sparse Recovery under Linear Transformation.
Proceedings of the 30th International Conference on Machine Learning, 2013

Active Matrix Completion.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks.
ACM Trans. Knowl. Discov. Data, 2012

Multisource domain adaptation and its application to early detection of fatigue.
ACM Trans. Knowl. Discov. Data, 2012

Drosophila Gene Expression Pattern Annotation through Multi-Instance Multi-Label Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

A Subject-Independent Method for Automatically Grading Electromyographic Features During a Fatiguing Contraction.
IEEE Trans. Biomed. Eng., 2012

Sparse methods for biomedical data.
SIGKDD Explor., 2012

Sparse non-negative tensor factorization using columnwise coordinate descent.
Pattern Recognit., 2012

Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data.
NeuroImage, 2012

A Multi-Stage Framework for Dantzig Selector and LASSO.
J. Mach. Learn. Res., 2012

Fused Multiple Graphical Lasso
CoRR, 2012

Efficient Sparse Group Feature Selection via Nonconvex Optimization
CoRR, 2012

Multi-Task Feature Learning Via Efficient l2,1-Norm Minimization
CoRR, 2012

Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval.
BMC Bioinform., 2012

Exploring spatial patterns of gene expression from Fruit Fly embryogenesis on the iPhone.
Bioinform., 2012

Generalization Bounds for Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Multi-task Vector Field Learning.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Modeling disease progression via fused sparse group lasso.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Feature grouping and selection over an undirected graph.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Optimal exact least squares rank minimization.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Accelerated singular value thresholding for matrix completion.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Robust multi-task feature learning.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Matrix completion by Truncated Nuclear Norm Regularization.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Perspective Analysis for Online Debates.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011
Efficient Sparse Generalized Multiple Kernel Learning.
IEEE Trans. Neural Networks, 2011

Tuberculosis Surveillance by Analyzing Google Trends.
IEEE Trans. Biomed. Eng., 2011

Canonical Correlation Analysis for Multilabel Classification: A Least-Squares Formulation, Extensions, and Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Integrating outlier filtering in large margin training.
J. Zhejiang Univ. Sci. C, 2011

Matrix-variate and higher-order probabilistic projections.
Data Min. Knowl. Discov., 2011

Machine Learning Approaches for the Neuroimaging Study of Alzheimer's Disease.
Computer, 2011

FlyExpress: visual mining of spatiotemporal patterns for genes and publications in <i>Drosophila</i> embryogenesis.
Bioinform., 2011

Clustered Multi-Task Learning Via Alternating Structure Optimization.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

A Two-Stage Weighting Framework for Multi-Source Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Projection onto A Nonnegative Max-Heap.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

A multi-task learning formulation for predicting disease progression.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Brain effective connectivity modeling for alzheimer's disease by sparse gaussian bayesian network.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Integrating low-rank and group-sparse structures for robust multi-task learning.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Multi-source domain adaptation and its application to early detection of fatigue.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Transfer Learning Framework for Early Detection of Fatigue Using Non-invasive Surface Electromyogram Signals (SEMG).
Proceedings of the Computational Physiology, 2011

2010
A shared-subspace learning framework for multi-label classification.
ACM Trans. Knowl. Discov. Data, 2010

Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning.
SIAM J. Optim., 2010

Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation.
NeuroImage, 2010

Efficient L1/Lq Norm Regularization
CoRR, 2010

Fast Overlapping Group Lasso
CoRR, 2010

Multiple structure alignment and consensus identification for proteins.
BMC Bioinform., 2010

Moreau-Yosida Regularization for Grouped Tree Structure Learning.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Multi-Stage Dantzig Selector.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

A scalable two-stage approach for a class of dimensionality reduction techniques.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

An efficient algorithm for a class of fused lasso problems.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Kernel Learning for Efficiency Maximization in the Conformal Predictions Framework.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2009
Biological Image Analysis via Matrix Approximation.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Interest Pixel Mining.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Compressed Facade Displacement Maps.
IEEE Trans. Vis. Comput. Graph., 2009

A Small Sphere and Large Margin Approach for Novelty Detection Using Training Data with Outliers.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

A bag-of-words approach for <i>Drosophila </i>gene expression pattern annotation.
BMC Bioinform., 2009

Multi-Task Feature Learning Via Efficient l2, 1-Norm Minimization.
Proceedings of the UAI 2009, 2009

Efficient Recovery of Jointly Sparse Vectors.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Mining discrete patterns via binary matrix factorization.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Large-scale sparse logistic regression.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Drosophila gene expression pattern annotation using sparse features and term-term interactions.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Multiclass Probabilistic Kernel Discriminant Analysis.
Proceedings of the IJCAI 2009, 2009

On Multiple Kernel Learning with Multiple Labels.
Proceedings of the IJCAI 2009, 2009

On the Equivalence between Canonical Correlation Analysis and Orthonormalized Partial Least Squares.
Proceedings of the IJCAI 2009, 2009

Learning the Optimal Neighborhood Kernel for Classification.
Proceedings of the IJCAI 2009, 2009

DrosophilaGene Expression Pattern Annotation through Multi-Instance Multi-Label Learning.
Proceedings of the IJCAI 2009, 2009

Linear Dimensionality Reduction for Multi-label Classification.
Proceedings of the IJCAI 2009, 2009

Online learning by ellipsoid method.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Non-monotonic feature selection.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

A least squares formulation for a class of generalized eigenvalue problems in machine learning.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Efficient Euclidean projections in linear time.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

An accelerated gradient method for trace norm minimization.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

A convex formulation for learning shared structures from multiple tasks.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection.
IEEE Trans. Neural Networks, 2008

Kernel Uncorrelated and Regularized Discriminant Analysis: A Theoretical and Computational Study.
IEEE Trans. Knowl. Data Eng., 2008

Developmental stage annotation of Drosophila gene expression pattern images via an entire solution path for LDA.
ACM Trans. Knowl. Discov. Data, 2008

Interest point detection using imbalance oriented selection.
Pattern Recognit., 2008

Multi-class Discriminant Kernel Learning via Convex Programming.
J. Mach. Learn. Res., 2008

Comments on the Complete Characterization of a Family of Solutions to a Generalized <i>Fisher</i> Criterion.
J. Mach. Learn. Res., 2008

An evaluation of identity representability of facial expressions using feature distributions.
Neurocomputing, 2008

Adaptive Appearance Based Face Recognition.
Int. J. Artif. Intell. Tools, 2008

Adaptive diffusion kernel learning from biological networks for protein function prediction.
BMC Bioinform., 2008

Automated annotation of <i>Drosophila</i> gene expression patterns using a controlled vocabulary.
Bioinform., 2008

Multi-label Multiple Kernel Learning.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Identifying biologically relevant genes via multiple heterogeneous data sources.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Heterogeneous data fusion for alzheimer's disease study.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Hypergraph spectral learning for multi-label classification.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Extracting shared subspace for multi-label classification.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Learning subspace kernels for classification.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

A least squares formulation for canonical correlation analysis.
Proceedings of the Machine Learning, 2008

Training SVM with indefinite kernels.
Proceedings of the Machine Learning, 2008

A unified framework for generalized Linear Discriminant Analysis.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
SVM versus Least Squares SVM.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Discriminative K-means for Clustering.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Nonlinear adaptive distance metric learning for clustering.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Discriminant kernel and regularization parameter learning via semidefinite programming.
Proceedings of the Machine Learning, 2007

Least squares linear discriminant analysis.
Proceedings of the Machine Learning, 2007

Adaptive Distance Metric Learning for Clustering.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Biased Manifold Embedding: A Framework for Person-Independent Head Pose Estimation.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Feature Reduction via Generalized Uncorrelated Linear Discriminant Analysis.
IEEE Trans. Knowl. Data Eng., 2006

Spatial interest pixels (SIPs): useful low-level features of visual media data.
Multim. Tools Appl., 2006

Computational and Theoretical Analysis of Null Space and Orthogonal Linear Discriminant Analysis.
J. Mach. Learn. Res., 2006

Multiple Structure Alignment and Consensus Identification for Proteins.
Proceedings of the Algorithms in Bioinformatics, 6th International Workshop, 2006

CPM: A Covariance-preserving Projection Method.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Regularized discriminant analysis for high dimensional, low sample size data.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Null space versus orthogonal linear discriminant analysis.
Proceedings of the Machine Learning, 2006

Kernel Uncorrelated and Orthogonal Discriminant Analysis: A Unified Approach.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Integrating Spatial and Discriminant Strength for Feature Selection and Linear Dimensionality Reduction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

Efficient model selection for regularized linear discriminant analysis.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

2005
IDR/QR: An Incremental Dimension Reduction Algorithm via QR Decomposition.
IEEE Trans. Knowl. Data Eng., 2005

A Two-Stage Linear Discriminant Analysis via QR-Decomposition.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Generalized Low Rank Approximations of Matrices.
Mach. Learn., 2005

Characterization of a Family of Algorithms for Generalized Discriminant Analysis on Undersampled Problems.
J. Mach. Learn. Res., 2005

2-Dimensional Singular Value Decomposition for 2D Maps and Images.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

2004
Using Uncorrelated Discriminant Analysis for Tissue Classification with Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2004

LDA/QR: an efficient and effective dimension reduction algorithm and its theoretical foundation.
Pattern Recognit., 2004

An Optimization Criterion for Generalized Discriminant Analysis on Undersampled Problems.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

Approximate Multiple Protein Structure Alignment Using the Sum-of-Pairs Distance.
J. Comput. Biol., 2004

Pairwise Protein Structure Alignment Based on an Orientation-independent Backbone Representation.
J. Bioinform. Comput. Biol., 2004

Two-Dimensional Linear Discriminant Analysis.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Efficient Kernel Discriminant Analysis via QR Decomposition.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

GPCA: an efficient dimension reduction scheme for image compression and retrieval.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Feature extraction via generalized uncorrelated linear discriminant analysis.
Proceedings of the Machine Learning, 2004

Linear Projection Methods in Face Recognition under Unconstrained Illuminations: A Comparative Study.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003
Pairwise Protein Structure Alignment Based on an Orientation-Independent Representation of the Backbone Geometry.
Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2003), 2003

A new optimization criterion for generalized discriminant analysis on undersampled problems.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2000
Efficient approximation of minimum energy curves with interpolatory constraints.
Appl. Math. Comput., 2000

Approximation of minimum energy curves.
Appl. Math. Comput., 2000


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