Jieping Ye
Orcid: 0000-0001-8662-5818
According to our database1,
Jieping Ye
authored at least 483 papers
between 2000 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects.
IEEE Trans. Knowl. Data Eng., December, 2024
Label Deconvolution for Node Representation Learning on Large-Scale Attributed Graphs Against Learning Bias.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
Stochastic gradient descent without full data shuffle: with applications to in-database machine learning and deep learning systems.
VLDB J., September, 2024
Enhancing Closed-Loop Performance in Learning-Based Vehicle Motion Planning by Integrating Rule-Based Insights.
IEEE Robotics Autom. Lett., September, 2024
IEEE Trans. Knowl. Data Eng., May, 2024
Robust discriminative feature learning with calibrated data reconstruction and sparse low-rank model.
Appl. Intell., February, 2024
Exploring the Application of Large-Scale Pre-Trained Models on Adverse Weather Removal.
IEEE Trans. Image Process., 2024
IEEE Trans. Geosci. Remote. Sens., 2024
Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs.
CoRR, 2024
CoRR, 2024
Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding.
CoRR, 2024
SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graphs.
CoRR, 2024
GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching.
CoRR, 2024
CoRR, 2024
PerlDiff: Controllable Street View Synthesis Using Perspective-Layout Diffusion Models.
CoRR, 2024
CT3D++: Improving 3D Object Detection with Keypoint-induced Channel-wise Transformer.
CoRR, 2024
From Redundancy to Relevance: Enhancing Explainability in Multimodal Large Language Models.
CoRR, 2024
IBD: Alleviating Hallucinations in Large Vision-Language Models via Image-Biased Decoding.
CoRR, 2024
URRL-IMVC: Unified and Robust Representation Learning for Incomplete Multi-View Clustering.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
The 4th KDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems (DeepSpatial'24).
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Interpretable Composition Attribution Enhancement for Visio-linguistic Compositional Understanding.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
AddressCLIP: Empowering Vision-Language Models for City-Wide Image Address Localization.
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graph.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Offline Model-Based Adaptable Policy Learning for Decision-Making in Out-of-Support Regions.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023
Manag. Sci., September, 2023
IEEE Trans. Knowl. Data Eng., April, 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
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
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
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
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
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
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
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
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
Policy Evaluation for Temporal and/or Spatial Dependent Experiments in Ride-sourcing Platforms.
CoRR, 2022
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
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
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
Transp. Sci., 2021
Multi-Resemblance Multi-Target Low-Rank Coding for Prediction of Cognitive Decline With Longitudinal Brain Images.
IEEE Trans. Medical Imaging, 2021
IEEE Trans. Knowl. Data Eng., 2021
IEEE Trans. Image Process., 2021
IEEE Trans. Image Process., 2021
Building Personalized Transportation Model for Online Taxi-Hailing Demand Prediction.
IEEE Trans. Cybern., 2021
IEEE Trans. Circuits Syst. Video Technol., 2021
IEEE Signal Process. Mag., 2021
Partially observable environment estimation with uplift inference for reinforcement learning based recommendation.
Mach. Learn., 2021
Medical Image Anal., 2021
IEEE J. Sel. Areas Inf. Theory, 2021
CoRR, 2021
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
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
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 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
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
IEEE Trans. Big Data, 2020
IEEE Signal Process. Mag., 2020
INFORMS J. Appl. Anal., 2020
CoRR, 2020
Joint predictions of multi-modal ride-hailing demands: a deep multi-task multigraph learning-based approach.
CoRR, 2020
CoRR, 2020
Single-Timescale Stochastic Nonconvex-Concave Optimization for Smooth Nonlinear TD Learning.
CoRR, 2020
Ensemble Model with Batch Spectral Regularization and Data Blending for Cross-Domain Few-Shot Learning with Unlabeled Data.
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
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
Proceedings of the Fifth Conference on Machine Translation, 2020
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
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
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
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
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
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020
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
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
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
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
IEEE Trans. Big Data, 2019
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction.
J. Mach. Learn. Res., 2019
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
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
D<sup>2</sup>-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios.
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
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
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
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
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 20th Annual Conference of the International Speech Communication Association, 2019
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
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
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
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
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
IEEE Trans. Knowl. Data Eng., 2018
Multifeature, Sparse-Based Approach for Defects Detection and Classification in Semiconductor Units.
IEEE Trans Autom. Sci. Eng., 2018
IEEE Trans. Pattern Anal. Mach. Intell., 2018
GESF: A Universal Discriminative Mapping Mechanism for Graph Representation Learning.
CoRR, 2018
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
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
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
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
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
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
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
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
IEEE Trans. Knowl. Data Eng., 2017
Medical Image Anal., 2017
A Unified Neural Network Approach for Estimating Travel Time and Distance for a Taxi Trip.
CoRR, 2017
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
Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression.
CoRR, 2017
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
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
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
Proceedings of the Information Processing in Medical Imaging, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017
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
ACM Trans. Knowl. Discov. Data, 2016
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
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
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
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
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
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
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
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
IEEE Trans. Medical Imaging, 2015
IEEE Trans. Knowl. Data Eng., 2015
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
SIAM J. Sci. Comput., 2015
IEEE Trans. Pattern Anal. Mach. Intell., 2015
IEEE Trans. Pattern Anal. Mach. Intell., 2015
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
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
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
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
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
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
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
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
NeuroImage, 2014
NeuroImage, 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
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
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
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
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
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
Proceedings of the 5th Annual International Conference on Biologically Inspired Cognitive Architectures, 2014
Proceedings of the Low-Rank and Sparse Modeling for Visual Analysis, 2014
2013
ACM Trans. Knowl. Discov. Data, 2013
IEEE Trans. Pattern Anal. Mach. Intell., 2013
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
IEEE Trans. Pattern Anal. Mach. Intell., 2013
IEEE Trans. Pattern Anal. Mach. Intell., 2013
Applying tensor-based morphometry to parametric surfaces can improve MRI-based disease diagnosis.
NeuroImage, 2013
CoRR, 2013
CoRR, 2013
Image-level and group-level models for Drosophila gene expression pattern annotation.
BMC Bioinform., 2013
Proceedings of the 13th SIAM International Conference on Data Mining, 2013
Proceedings of the 13th SIAM International Conference on Data Mining, 2013
Proceedings of the Biocomputing 2013: Proceedings of the Pacific Symposium, 2013
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
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
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
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
2012
ACM Trans. Knowl. Discov. Data, 2012
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
Pattern Recognit., 2012
Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data.
NeuroImage, 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
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
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
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
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012
2011
IEEE Trans. Neural Networks, 2011
Canonical Correlation Analysis for Multilabel Classification: A Least-Squares Formulation, Extensions, and Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2011
J. Zhejiang Univ. Sci. C, 2011
Data Min. Knowl. Discov., 2011
Computer, 2011
FlyExpress: visual mining of spatiotemporal patterns for genes and publications in <i>Drosophila</i> embryogenesis.
Bioinform., 2011
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
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
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
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
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
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
ACM Trans. Knowl. Discov. Data, 2010
SIAM J. Optim., 2010
Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation.
NeuroImage, 2010
BMC Bioinform., 2010
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
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
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010
2009
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009
A Small Sphere and Large Margin Approach for Novelty Detection Using Training Data with Outliers.
IEEE Trans. Pattern Anal. Mach. Intell., 2009
BMC Bioinform., 2009
Proceedings of the UAI 2009, 2009
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
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
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009
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
Proceedings of the IJCAI 2009, 2009
Proceedings of the IJCAI 2009, 2009
On the Equivalence between Canonical Correlation Analysis and Orthonormalized Partial Least Squares.
Proceedings of the IJCAI 2009, 2009
Proceedings of the IJCAI 2009, 2009
DrosophilaGene Expression Pattern Annotation through Multi-Instance Multi-Label Learning.
Proceedings of the IJCAI 2009, 2009
Proceedings of the IJCAI 2009, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
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
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
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
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 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
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
Proceedings of the Machine Learning, 2008
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008
2007
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007
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
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
Proceedings of the Machine Learning, 2007
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
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007
2006
IEEE Trans. Knowl. Data Eng., 2006
Multim. Tools Appl., 2006
Computational and Theoretical Analysis of Null Space and Orthogonal Linear Discriminant Analysis.
J. Mach. Learn. Res., 2006
Proceedings of the Algorithms in Bioinformatics, 6th International Workshop, 2006
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006
Proceedings of the Machine Learning, 2006
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
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006
2005
IEEE Trans. Knowl. Data Eng., 2005
IEEE Trans. Pattern Anal. Mach. Intell., 2005
Characterization of a Family of Algorithms for Generalized Discriminant Analysis on Undersampled Problems.
J. Mach. Learn. Res., 2005
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
J. Comput. Biol., 2004
Pairwise Protein Structure Alignment Based on an Orientation-independent Backbone Representation.
J. Bioinform. Comput. Biol., 2004
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004
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
Appl. Math. Comput., 2000