Ivor W. Tsang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Diversifying Policies With Non-Markov Dispersion to Expand the Solution Space.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Transductive Reward Inference on Graph.

[BibT_eX]

[DOI]

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

Taming Overconfident Prediction on Unlabeled Data From Hindsight.

[BibT_eX]

[DOI]

Jing Li

Yuangang Pan

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Guest Editorial Special Issue on Resource Sustainable Computational and Artificial Intelligence.

[BibT_eX]

[DOI]

Joey Tianyi Zhou

Yew Soon Ong

IEEE Trans. Emerg. Top. Comput. Intell., October, 2024

Distribution Matching for Machine Teaching.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., September, 2024

PROUD: PaRetO-gUided diffusion model for multi-objective generation.

[BibT_eX]

[DOI]

Mach. Learn., September, 2024

Sanitized clustering against confounding bias.

[BibT_eX]

[DOI]

Mach. Learn., June, 2024

Imitation Learning: Progress, Taxonomies and Challenges.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., May, 2024

Co-Guiding for Multi-Intent Spoken Language Understanding.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Coarse-to-Fine Contrastive Learning on Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., April, 2024

A Convergence Path to Deep Learning on Noisy Labels.

[BibT_eX]

[DOI]

Defu Liu

Guowu Yang

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Online Multi-Agent Forecasting With Interpretable Collaborative Graph Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Differential-Critic GAN: Generating What You Want by a Cue of Preferences.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., March, 2024

CGDD: Multiview Graph Clustering via Cross-Graph Diversity Detection.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Enhancing Locally Adaptive Smoothing of Graph Neural Networks Via Laplacian Node Disagreement.

[BibT_eX]

[DOI]

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

Learning node representations against perturbations.

[BibT_eX]

[DOI]

Pattern Recognit., January, 2024

Adversarial Learning for Coordinate Regression Through $k$k-Layer Penetrating Representation.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2024

Generative Adversarial Ranking Nets.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2024

USN: A Robust Imitation Learning Method against Diverse Action Noise.

[BibT_eX]

[DOI]

Xingrui Yu

J. Artif. Intell. Res., 2024

Exploiting Contextual Target Attributes for Target Sentiment Classification.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2024

Coherence-guided Preference Disentanglement for Cross-domain Recommendations.

[BibT_eX]

[DOI]

CoRR, 2024

ExpertFlow: Optimized Expert Activation and Token Allocation for Efficient Mixture-of-Experts Inference.

[BibT_eX]

[DOI]

CoRR, 2024

Sharpness-Aware Black-Box Optimization.

[BibT_eX]

[DOI]

CoRR, 2024

Self-Assessed Generation: Trustworthy Label Generation for Optical Flow and Stereo Matching in Real-world.

[BibT_eX]

[DOI]

CoRR, 2024

Quality Diversity Imitation Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Covariance-Adaptive Sequential Black-box Optimization for Diffusion Targeted Generation.

[BibT_eX]

[DOI]

CoRR, 2024

HC<sup>2</sup>L: Hybrid and Cooperative Contrastive Learning for Cross-lingual Spoken Language Understanding.

[BibT_eX]

[DOI]

CoRR, 2024

Collaborative Knowledge Infusion for Low-resource Stance Detection.

[BibT_eX]

[DOI]

Ming Yan

Joey Tianyi Zhou

CoRR, 2024

Second-Order Fine-Tuning without Pain for LLMs: A Hessian Informed Zeroth-Order Optimizer.

[BibT_eX]

[DOI]

CoRR, 2024

The Bigger the Better? Rethinking the Effective Model Scale in Long-term Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2024

Multi-objective meta-learning.

[BibT_eX]

[DOI]

Artif. Intell., 2024

Low-Hanging Fruit: Knowledge Distillation from Noisy Teachers for Open Domain Spoken Language Understanding.

[BibT_eX]

[DOI]

Cheng Chen

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

MetaRepair: Learning to Repair Deep Neural Networks from Repairing Experiences.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Diagnose with Uncertainty Awareness: Diagnostic Uncertainty Encoding Framework for Radiology Report Generation.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2024

Cross-Context Backdoor Attacks against Graph Prompt Learning.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Ladder-of-Thought: Using Knowledge as Steps to Elevate Stance Detection.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

Fast Unpaired Multi-view Clustering.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Can Gaussian Sketching Converge Faster on a Preconditioned Landscape?

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Double Variance Reduction: A Smoothing Trick for Composite Optimization Problems without First-Order Gradient.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Double Stochasticity Gazes Faster: Snap-Shot Decentralized Stochastic Gradient Tracking Methods.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Diversified Batch Selection for Training Acceleration.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Self-Teaching Prompting for Multi-Intent Learning with Limited Supervision.

[BibT_eX]

[DOI]

Cheng Chen

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

On Harmonizing Implicit Subpopulations.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Multisize Dataset Condensation.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DC-Instruct: An Effective Framework for Generative Multi-intent Spoken Language Understanding.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Boosting Transferability in Vision-Language Attacks via Diversification Along the Intersection Region of Adversarial Trajectory.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

AHIVE: Anatomy-Aware Hierarchical Vision Encoding for Interactive Radiology Report Retrieval.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Relational Temporal Graph Reasoning for Dual-Task Dialogue Language Understanding.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Noisy Label Learning With Provable Consistency for a Wider Family of Losses.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

DifFormer: Multi-Resolutional Differencing Transformer With Dynamic Ranging for Time Series Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Data-Efficient Learning via Minimizing Hyperspherical Energy.

[BibT_eX]

[DOI]

Weiyang Liu

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Earning Extra Performance From Restrictive Feedbacks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

LADDER: Latent boundary-guided adversarial training.

[BibT_eX]

[DOI]

Mach. Learn., October, 2023

Missingness-Pattern-Adaptive Learning With Incomplete Data.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

MetaCAR: Cross-Domain Meta-Augmentation for Content-Aware Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., August, 2023

Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., August, 2023

A Multi-View Multi-Task Learning Framework for Multi-Variate Time Series Forecasting.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., August, 2023

Latent Class-Conditional Noise Model.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Latent Representation Guided Multi-View Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., July, 2023

Open Set Domain Adaptation With Soft Unknown-Class Rejection.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., March, 2023

Toward Equivalent Transformation of User Preferences in Cross Domain Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., January, 2023

Contrastive Attraction and Contrastive Repulsion for Representation Learning.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Structure-Informed Shadow Removal Networks.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

Leveraging Open-Vocabulary Diffusion to Camouflaged Instance Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Aggregation Weighting of Federated Learning via Generalization Bound Estimation.

[BibT_eX]

[DOI]

CoRR, 2023

Ladder-of-Thought: Using Knowledge as Steps to Elevate Stance Detection.

[BibT_eX]

[DOI]

CoRR, 2023

SuperInpaint: Learning Detail-Enhanced Attentional Implicit Representation for Super-resolutional Image Inpainting.

[BibT_eX]

[DOI]

CoRR, 2023

On the Robustness of Segment Anything.

[BibT_eX]

[DOI]

CoRR, 2023

Causal Intervention for Abstractive Related Work Generation.

[BibT_eX]

[DOI]

CoRR, 2023

Learning Structured Components: Towards Modular and Interpretable Multivariate Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2023

Learning Restoration is Not Enough: Transfering Identical Mapping for Single-Image Shadow Removal.

[BibT_eX]

[DOI]

CoRR, 2023

UTSGAN: Unseen Transition Suss GAN for Transition-Aware Image-to-image Translation.

[BibT_eX]

[DOI]

CoRR, 2023

Unfolded Self-Reconstruction LSH: Towards Machine Unlearning in Approximate Nearest Neighbour Search.

[BibT_eX]

[DOI]

CoRR, 2023

Adversary-Aware Partial label learning with Label distillation.

[BibT_eX]

[DOI]

Cheng Chen

CoRR, 2023

Co-Evolving Graph Reasoning Network for Emotion-Cause Pair Extraction.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Nonparametric Teaching for Multiple Learners.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-Task Learning via Time-Aware Neural ODE.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Nonparametric Iterative Machine Teaching.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Leveraging Inpainting for Single-Image Shadow Removal.

[BibT_eX]

[DOI]

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

Causal Intervention for Abstractive Related Work Generation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

MTKDN: Multi-Task Knowledge Disentanglement Network for Recommendation.

[BibT_eX]

[DOI]

Haotian Wu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Learning With Label Proportions by Incorporating Unmarked Data.

[BibT_eX]

[DOI]

Jing Chai

IEEE Trans. Neural Networks Learn. Syst., 2022

Shattering Distribution for Active Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Deep Co-Image-Label Hashing for Multi-Label Image Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2022

Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

Deep Pairwise Hashing for Cold-Start Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Measuring Diversity in Graph Learning: A Unified Framework for Structured Multi-View Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Domain-Adversarial Network Alignment.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Towards Faster Vehicle Routing by Transferring Knowledge From Customer Representation.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Understand Me, if You Refer to Aspect Knowledge: Knowledge-Aware Gated Recurrent Memory Network.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., 2022

Cold-Start Active Sampling Via γ-Tube.

[BibT_eX]

[DOI]

Jianliang Xu

IEEE Trans. Cybern., 2022

Efficient federated multi-view learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Recursive Copy and Paste GAN: Face Hallucination From Shaded Thumbnails.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

The Emerging Trends of Multi-Label Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learning on Attribute-Missing Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Distribution Disagreement via Lorentzian Focal Representation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Multiple partitions alignment via spectral rotation.

[BibT_eX]

[DOI]

Mach. Learn., 2022

XAI Beyond Classification: Interpretable Neural Clustering.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2022

Fast and Robust Rank Aggregation against Model Misspecification.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2022

Out of Context: A New Clue for Context Modeling of Aspect-based Sentiment Analysis.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2022

One-shot Machine Teaching: Cost Very Few Examples to Converge Faster.

[BibT_eX]

[DOI]

CoRR, 2022

A Survey of Learning on Small Data.

[BibT_eX]

[DOI]

CoRR, 2022

When an Active Learner Meets a Black-box Teacher.

[BibT_eX]

[DOI]

CoRR, 2022

Latent Boundary-guided Adversarial Training.

[BibT_eX]

[DOI]

CoRR, 2022

DigNet: Digging Clues from Local-Global Interactive Graph for Aspect-level Sentiment Classification.

[BibT_eX]

[DOI]

CoRR, 2022

Edge but not Least: Cross-View Graph Pooling.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Multi-view Subspace Clustering on Topological Manifold.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Smooth Representation for Multi-view Subspace Clustering.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Neural Subgraph Explorer: Reducing Noisy Information via Target-oriented Syntax Graph Pruning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Group is better than individual: Exploiting Label Topologies and Label Relations for Joint Multiple Intent Detection and Slot Filling.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Co-guiding Net: Achieving Mutual Guidances between Multiple Intent Detection and Slot Filling via Heterogeneous Semantics-Label Graphs.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

DARER: Dual-task Temporal Relational Recurrent Reasoning Network for Joint Dialog Sentiment Classification and Act Recognition.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Multi-View Clustering on Topological Manifold.

[BibT_eX]

[DOI]

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

2021

Privacy-Preserving Stochastic Gradual Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

The Pulse of Urban Transport: Exploring the Co-evolving Pattern for Spatio-temporal Forecasting.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2021

Face Hallucination With Finishing Touches.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Complementary Attributes: A New Clue to Zero-Shot Learning.

[BibT_eX]

[DOI]

Xiaofeng Xu

Chuancai Liu

IEEE Trans. Cybern., 2021

Online Mental Fatigue Monitoring via Indirect Brain Dynamics Evaluation.

[BibT_eX]

[DOI]

Neural Comput., 2021

TRIP: Refining Image-to-Image Translation via Rival Preferences.

[BibT_eX]

[DOI]

CoRR, 2021

Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network.

[BibT_eX]

[DOI]

CoRR, 2021

Imitation Learning: Progress, Taxonomies and Opportunities.

[BibT_eX]

[DOI]

CoRR, 2021

Neural Optimization Kernel: Towards Robust Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Contrastive Conditional Transport for Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Bayesian Active Learning by Disagreements: A Geometric Perspective.

[BibT_eX]

[DOI]

CoRR, 2021

Generative Transition Mechanism to Image-to-Image Translation via Encoded Transformation.

[BibT_eX]

[DOI]

CoRR, 2021

Black-Box Optimizer with Stochastic Implicit Natural Gradient.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Human-Understandable Decision Making for Visual Recognition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

CDD: Multi-view Subspace Clustering via Cross-view Diversity Detection.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Survey on Multi-Output Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Large Margin Partial Label Machine.

[BibT_eX]

[DOI]

Jing Chai

Husam Abdulrasool H. Al-Najjar

Weijie Chen

IEEE Trans. Neural Networks Learn. Syst., 2020

Guest Editorial Special Issue on Structured Multi-Output Learning: Modeling, Algorithm, Theory, and Applications.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis, and Case Study.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2020

VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2020

Familial Clustering for Weakly-Labeled Android Malware Using Hybrid Representation Learning.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2020

Secure Metric Learning via Differential Pairwise Privacy.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2020

Unseen Land Cover Classification from High-Resolution Orthophotos Using Integration of Zero-Shot Learning and Convolutional Neural Networks.

[BibT_eX]

[DOI]

Biswajeet Pradhan

Maher Ibrahim Sameen

Abdullah M. Alamri

Remote. Sens., 2020

Improving Generalization via Attribute Selection on Out-of-the-Box Data.

[BibT_eX]

[DOI]

Xiaofeng Xu

Chuancai Liu

Neural Comput., 2020

Multiview Alignment and Generation in CCA via Consistent Latent Encoding.

[BibT_eX]

[DOI]

Neural Comput., 2020

Stochastic Multichannel Ranking with Brain Dynamics Preferences.

[BibT_eX]

[DOI]

Neural Comput., 2020

Auto-weighted multi-view co-clustering with bipartite graphs.

[BibT_eX]

[DOI]

Inf. Sci., 2020

Collaborative Generative Hashing for Marketing and Fast Cold-Start Recommendation.

[BibT_eX]

[DOI]

Yan Zhang

IEEE Intell. Syst., 2020

A Survey of Label-noise Representation Learning: Past, Present and Future.

[BibT_eX]

[DOI]

CoRR, 2020

Deep N-ary Error Correcting Output Codes.

[BibT_eX]

[DOI]

CoRR, 2020

Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation.

[BibT_eX]

[DOI]

CoRR, 2020

Learning Robust Node Representations on Graphs.

[BibT_eX]

[DOI]

CoRR, 2020

Multi-view Alignment and Generation in CCA via Consistent Latent Encoding.

[BibT_eX]

[DOI]

CoRR, 2020

Towards Sharper First-Order Adversary with Quantized Gradients.

[BibT_eX]

[DOI]

Zhuanghua Liu

CoRR, 2020

Subgroup-based Rank-1 Lattice Quasi-Monte Carlo.

[BibT_eX]

[DOI]

Yuan Yuan

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Graph Cross Networks with Vertex Infomax Pooling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Intrinsic Reward Driven Imitation Learning via Generative Model.

[BibT_eX]

[DOI]

Xingrui Yu

Proceedings of the 37th International Conference on Machine Learning, 2020

SIGUA: Forgetting May Make Learning with Noisy Labels More Robust.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Curriculum Loss: Robust Learning and Generalization against Label Corruption.

[BibT_eX]

[DOI]

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

I/O Efficient Approximate Nearest Neighbour Search based on Learned Functions.

[BibT_eX]

[DOI]

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Copy and Paste GAN: Face Hallucination From Shaded Thumbnails.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

An Empirical Study of Code Deobfuscations on Detecting Obfuscated Android Piggybacked Apps.

[BibT_eX]

[DOI]

Proceedings of the 27th Asia-Pacific Software Engineering Conference, 2020

2019

Beyond Majority Voting: A Coarse-to-Fine Label Filtration for Heavily Noisy Labels.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Domain Adaption via Feature Selection on Explicit Feature Map.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Deep Learning From Noisy Image Labels With Quality Embedding.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2019

Hyperspectral Imagery Classification via Stochastic HHSVMs.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2019

Late Fusion via Subspace Search With Consistency Preservation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2019

Well-M<sup>3</sup>N: A Maximum-Margin Approach to Unsupervised Structured Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., 2019

Error Correcting Input and Output Hashing.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

Auto-weighted multi-view clustering via kernelized graph learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2019

Metric Learning for Multi-Output Tasks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2019

N-ary decomposition for multi-class classification.

[BibT_eX]

[DOI]

Mach. Learn., 2019

Millionaire: a hint-guided approach for crowdsourcing.

[BibT_eX]

[DOI]

Mach. Learn., 2019

Multi-class Heterogeneous Domain Adaptation.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2019

A Data-Analytics Approach for Enterprise Resilience.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2019

Stochastic Implicit Natural Gradient for Black-box Optimization.

[BibT_eX]

[DOI]

CoRR, 2019

Node Attribute Generation on Graphs.

[BibT_eX]

[DOI]

CoRR, 2019

Latent Adversarial Defence with Boundary-guided Generation.

[BibT_eX]

[DOI]

CoRR, 2019

Probabilistic CCA with Implicit Distributions.

[BibT_eX]

[DOI]

CoRR, 2019

Efficient Batch Black-box Optimization with Deterministic Regret Bounds.

[BibT_eX]

[DOI]

Yuan Yuan

CoRR, 2019

A deep learning framework for Hybrid Heterogeneous Transfer Learning.

[BibT_eX]

[DOI]

Joey Tianyi Zhou

Sinno Jialin Pan

Artif. Intell., 2019

Rectified Encoder Network for High-Dimensional Imbalanced Learning.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Learning Image-Specific Attributes by Hyperbolic Neighborhood Graph Propagation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Support Matching: A Novel Regularization to Escape from Mode Collapse in GANs.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 26th International Conference, 2019

How does Disagreement Help Generalization against Label Corruption?

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Marginalized Average Attentional Network for Weakly-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Long-short Distance Aggregation Networks for Positive Unlabeled Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Understanding VAEs in Fisher-Shannon Plane.

[BibT_eX]

[DOI]

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

Safeguarded Dynamic Label Regression for Noisy Supervision.

[BibT_eX]

[DOI]

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

Label Embedding with Partial Heterogeneous Contexts.

[BibT_eX]

[DOI]

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

2018

Online Heterogeneous Transfer by Hedge Ensemble of Offline and Online Decisions.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Multilabel Prediction via Cross-View Search.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Progressive Stochastic Learning for Noisy Labels.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Online Product Quantization.

[BibT_eX]

[DOI]

Donna Xu

Ying Zhang

IEEE Trans. Knowl. Data Eng., 2018

'Who Likes What and, Why?' Insights into Modeling Users' Personality Based on Image 'Likes'.

[BibT_eX]

[DOI]

Sharath Chandra Guntuku

IEEE Trans. Affect. Comput., 2018

Stagewise learning for noisy k-ary preferences.

[BibT_eX]

[DOI]

Yuangang Pan

Mach. Learn., 2018

Robust Plackett-Luce model for k-ary crowdsourced preferences.

[BibT_eX]

[DOI]

Yuangang Pan

Mach. Learn., 2018

Pumpout: A Meta Approach for Robustly Training Deep Neural Networks with Noisy Labels.

[BibT_eX]

[DOI]

CoRR, 2018

Understanding VAEs in Fisher-Shannon Plane.

[BibT_eX]

[DOI]

CoRR, 2018

Matrix Co-completion for Multi-label Classification with Missing Features and Labels.

[BibT_eX]

[DOI]

CoRR, 2018

Multi-Context Label Embedding.

[BibT_eX]

[DOI]

CoRR, 2018

Co-sampling: Training Robust Networks for Extremely Noisy Supervision.

[BibT_eX]

[DOI]

CoRR, 2018

Zero-shot Learning with Complementary Attributes.

[BibT_eX]

[DOI]

Xiaofeng Xu

Chuancai Liu

CoRR, 2018

Variational Composite Autoencoders.

[BibT_eX]

[DOI]

Jiangchao Yao

Ya Zhang

CoRR, 2018

VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Degeneration in VAE: in the Light of Fisher Information Loss.

[BibT_eX]

[DOI]

CoRR, 2018

Co-teaching: Robust training of deep neural networks with extremely noisy labels.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Masking: A New Perspective of Noisy Supervision.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Discrete Ranking-based Matrix Factorization with Self-Paced Learning.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

High-order Proximity Preserving Information Network Hashing.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Towards the Learning of Weighted Multi-label Associative Classifiers.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Deep Discrete Prototype Multilabel Learning.

[BibT_eX]

[DOI]

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

An Efficient Exact Nearest Neighbor Search by Compounded Embedding.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2018

SC2Net: Sparse LSTMs for Sparse Coding.

[BibT_eX]

[DOI]

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

Doubly Approximate Nearest Neighbor Classification.

[BibT_eX]

[DOI]

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

Compact Multi-Label Learning.

[BibT_eX]

[DOI]

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

2017

Incremental Subgraph Feature Selection for Graph Classification.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2017

Partial Hash Update via Hamming Subspace Learning.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

Multi-instance dictionary learning via multivariate performance measure optimization.

[BibT_eX]

[DOI]

Pattern Recognit., 2017

Principal Graph and Structure Learning Based on Reversed Graph Embedding.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2017

A unified probabilistic framework for robust manifold learning and embedding.

[BibT_eX]

[DOI]

Mach. Learn., 2017

An Easy-to-hard Learning Paradigm for Multiple Classes and Multiple Labels.

[BibT_eX]

[DOI]

Klaus-Robert Müller

J. Mach. Learn. Res., 2017

Making Decision Trees Feasible in Ultrahigh Feature and Label Dimensions.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2017

Sparse Embedded k-Means Clustering.

[BibT_eX]

[DOI]

Xiao-Bo Shen

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Discovering User Interests from Social Images.

[BibT_eX]

[DOI]

Proceedings of the MultiMedia Modeling - 23rd International Conference, 2017

Compact Multiple-Instance Learning.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Latent Smooth Skeleton Embedding.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Compressed K-Means for Large-Scale Clustering.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Approximate Conditional Gradient Descent on Multi-Class Classification.

[BibT_eX]

[DOI]

Zhuanghua Liu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Understanding Deep Representations Learned in Modeling Users Likes.

[BibT_eX]

[DOI]

Sharath Chandra Guntuku

IEEE Trans. Image Process., 2016

DEFEATnet - A Deep Conventional Image Representation for Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2016

Making Trillion Correlations Feasible in Feature Grouping and Selection.

[BibT_eX]

[DOI]

Yiteng Zhai

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Co-Labeling for Multi-View Weakly Labeled Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Learning word dependencies in text by means of a deep recurrent belief network.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2016

N-ary Error Correcting Coding Scheme.

[BibT_eX]

[DOI]

CoRR, 2016

Simple and Efficient Learning using Privileged Information.

[BibT_eX]

[DOI]

CoRR, 2016

On the Convergence of a Family of Robust Losses for Stochastic Gradient Descent.

[BibT_eX]

[DOI]

Ling Chen

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Transfer Hashing with Privileged Information.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Inferring Latent Network from Cascade Data for Dynamic Social Recommendation.

[BibT_eX]

[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Transfer Learning for Cross-Language Text Categorization through Active Correspondences Construction.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Robust Semi-Supervised Learning through Label Aggregation.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Optimizing Multivariate Performance Measures from Multi-View Data.

[BibT_eX]

[DOI]

Jim Jing-Yan Wang

Xin Gao

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Sparse Perceptron Decision Tree for Millions of Dimensions.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Matching Pursuit LASSO Part II: Applications and Sparse Recovery Over Batch Signals.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2015

Matching Pursuit LASSO Part I: Sparse Recovery Over Big Dictionary.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2015

Generalized Multiple Kernel Learning With Data-Dependent Priors.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

A Unified Feature Selection Framework for Graph Embedding on High Dimensional Data.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2015

Memetic Search With Interdomain Learning: A Realization Between CVRP and CARP.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2015

Memes as building blocks: a case study on evolutionary optimization + transfer learning for routing problems.

[BibT_eX]

[DOI]

Memetic Comput., 2015

A Novel Regularized Principal Graph Learning Framework on Explicit Graph Representation.

[BibT_eX]

[DOI]

CoRR, 2015

On the Optimality of Classifier Chain for Multi-label Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search.

[BibT_eX]

[DOI]

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

Objects co-segmentation: Propagated from simpler images.

[BibT_eX]

[DOI]

Marcus Chen

Santiago Velasco-Forero

Tat-Jen Cham

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Defragging Subgraph Features for Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Large Margin Metric Learning for Multi-Label Prediction.

[BibT_eX]

[DOI]

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

Effectively Predicting Whether and When a Topic Will Become Prevalent in a Social Network.

[BibT_eX]

[DOI]

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

2014

Concurrent Single-Label Image Classification and Annotation via Efficient Multi-Layer Group Sparse Coding.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2014

Learning Category-Specific Dictionary and Shared Dictionary for Fine-Grained Image Categorization.

[BibT_eX]

[DOI]

Yi Ma

IEEE Trans. Image Process., 2014

Spectral Embedded Hashing for Scalable Image Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2014

Region-Based Saliency Detection and Its Application in Object Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2014

Learning With Augmented Features for Supervised and Semi-Supervised Heterogeneous Domain Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Towards ultrahigh dimensional feature selection for big data.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2014

The Emerging ?Big Dimensionality?

[BibT_eX]

[DOI]

Yiteng Zhai

IEEE Comput. Intell. Mag., 2014

Riemannian Pursuit for Big Matrix Recovery.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

Feature Disentangling Machine - A Novel Approach of Feature Selection and Disentangling in Facial Expression Analysis.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2014, 2014

Event Detection Using Multi-level Relevance Labels and Multiple Features.

[BibT_eX]

[DOI]

Alexander G. Hauptmann

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Heterogeneous Domain Adaptation for Multiple Classes.

[BibT_eX]

[DOI]

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Robust Domain Adaptation for Relation Extraction via Clustering Consistency.

[BibT_eX]

[DOI]

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Deep Representations to Model User 'Likes'.

[BibT_eX]

[DOI]

Sharath Chandra Guntuku

Proceedings of the Computer Vision - ACCV 2014, 2014

Hybrid Heterogeneous Transfer Learning through Deep Learning.

[BibT_eX]

[DOI]

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

2013

Soft Margin Multiple Kernel Learning.

[BibT_eX]

[DOI]

Xinxing Xu

IEEE Trans. Neural Networks Learn. Syst., 2013

Minimax Sparse Logistic Regression for Very High-Dimensional Feature Selection.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2013

Transfer Ordinal Label Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2013

Efficient Multitemplate Learning for Structured Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2013

Objective-Guided Image Annotation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2013

Sparse Representation With Kernels.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2013

Combating Negative Transfer From Predictive Distribution Differences.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2013

A Feature Selection Method for Multivariate Performance Measures.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Efficient Optimization of Performance Measures by Classifier Adaptation.

[BibT_eX]

[DOI]

Nan Li

Zhi-Hua Zhou

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Laplacian Sparse Coding, Hypergraph Laplacian Sparse Coding, and Applications.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Discovering Low-Rank Shared Concept Space for Adapting Text Mining Models.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Convex and scalable weakly labeled SVMs.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2013

Is Matching Pursuit Solving Convex Problems?

[BibT_eX]

[DOI]

CoRR, 2013

Feature Weighting via Optimal Thresholding for Video Analysis.

[BibT_eX]

[DOI]

Alexander G. Hauptmann

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

Transductive Ordinal Regression.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2012

Domain Adaptation From Multiple Sources: A Domain-Dependent Regularization Approach.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2012

Laplacian Embedded Regression for Scalable Manifold Regularization.

[BibT_eX]

[DOI]

Lin Chen

IEEE Trans. Neural Networks Learn. Syst., 2012

Tag-Based Image Retrieval Improved by Augmented Features and Group-Based Refinement.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2012

Visual Event Recognition in Videos by Learning from Web Data.

[BibT_eX]

[DOI]

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

Domain Transfer Multiple Kernel Learning.

[BibT_eX]

[DOI]

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

Multi-view Positive and Unlabeled Learning.

[BibT_eX]

[DOI]

Proceedings of the 4th Asian Conference on Machine Learning, 2012

Relevance vector machine based infinite decision agent ensemble learning for credit risk analysis.

[BibT_eX]

[DOI]

Narendra S. Chaudhari

Expert Syst. Appl., 2012

Towards Large-scale and Ultrahigh Dimensional Feature Selection via Feature Generation

[BibT_eX]

[DOI]

CoRR, 2012

Meme as Building Block for Evolutionary Optimization of Problem Instances

[BibT_eX]

[DOI]

CoRR, 2012

Discovering Support and Affiliated Features from Very High Dimensions.

[BibT_eX]

[DOI]

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

A Split-Merge Framework for Comparing Clusterings.

[BibT_eX]

[DOI]

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

Learning with Augmented Features for Heterogeneous Domain Adaptation.

[BibT_eX]

[DOI]

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

Handling Ambiguity via Input-Output Kernel Learning.

[BibT_eX]

[DOI]

Xinxing Xu

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

Learning Target Predictive Function without Target Labels.

[BibT_eX]

[DOI]

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

Co-labeling: A New Multi-view Learning Approach for Ambiguous Problems.

[BibT_eX]

[DOI]

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

Domain Adaptation for Coreference Resolution: An Adaptive Ensemble Approach.

[BibT_eX]

[DOI]

Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Batch mode Adaptive Multiple Instance Learning for computer vision tasks.

[BibT_eX]

[DOI]

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

Pareto Rank Learning in Multi-objective Evolutionary Algorithms.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

An evolutionary search paradigm that learns with past experiences.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Efficient Discriminative Learning of Class Hierarchy for Many Class Prediction.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2012, 2012

Convex Matching Pursuit for Large-Scale Sparse Coding and Subset Selection.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

A Hybrid PSO-BFGS Strategy for Global Optimization of Multimodal Functions.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2011

Domain Adaptation via Transfer Component Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2011

Spectral Embedded Clustering: A Framework for In-Sample and Out-of-Sample Spectral Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2011

Improving Web Image Search by Bag-Based Reranking.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2011

Textual Query of Personal Photos Facilitated by Large-Scale Web Data.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2011

Two-Layer Multiple Kernel Learning.

[BibT_eX]

[DOI]

Jinfeng Zhuang

Steven C. H. Hoi

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

A Family of Simple Non-Parametric Kernel Learning Algorithms.

[BibT_eX]

[DOI]

Jinfeng Zhuang

Steven C. H. Hoi

J. Mach. Learn. Res., 2011

Learning to Locate Relative Outliers.

[BibT_eX]

[DOI]

Proceedings of the 3rd Asian Conference on Machine Learning, 2011

Exploratory analysis of cell-based screening data for phenotype identification in drug-siRNA study.

[BibT_eX]

[DOI]

Int. J. Comput. Biol. Drug Des., 2011

Multiple Template Learning for Structured Prediction

[BibT_eX]

[DOI]

CoRR, 2011

Hierarchical Maximum Margin Learning for Multi-Class Classification.

[BibT_eX]

[DOI]

Jian-Bo Yang

Proceedings of the UAI 2011, 2011

Maximum Margin/Volume Outlier Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Infinite Decision Agent Ensemble Learning System for Credit Risk Analysis.

[BibT_eX]

[DOI]

Narendra S. Chaudhari

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Healing Sample Selection Bias by Source Classifier Selection.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Optimizing Performance Measures for Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Text-based image retrieval using progressive multi-instance learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2011

Multi-layer group sparse coding - For concurrent image classification and annotation.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Incorporating the loss function into discriminative clustering of structured outputs.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2010

Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2010

Efficiently Learning Nonlinear Classifiers for Domain Specific Performance Measures

[BibT_eX]

[DOI]

Nan Li

Zhi-Hua Zhou

CoRR, 2010

Parameter-Free Spectral Kernel Learning.

[BibT_eX]

[DOI]

Proceedings of the UAI 2010, 2010

Predictive Distribution Matching SVM for Multi-domain Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Automatic image tagging via category label and web data.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Multimedia 2010, 2010

Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets.

[BibT_eX]

[DOI]

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

Location and Scatter Matching for Dataset Shift in Text Mining.

[BibT_eX]

[DOI]

Proceedings of the ICDM 2010, 2010

Kernel Sparse Representation for Image Classification and Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2010

Local features are not lonely - Laplacian sparse coding for image classification.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Tag-based web photo retrieval improved by batch mode re-tagging.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Clustering-based methodology with minimal user supervision for displaying cell-phenotype signatures in image-based screening.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

2009

Maximum Margin Clustering Made Practical.

[BibT_eX]

[DOI]

Kai Zhang

IEEE Trans. Neural Networks, 2009

Maximum Penalized Likelihood Kernel Regression for Fast Adaptation.

[BibT_eX]

[DOI]

IEEE Trans. Speech Audio Process., 2009

Tighter and Convex Maximum Margin Clustering.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

A Semi-Supervised Framework for Feature Mapping and Multiclass Classification.

[BibT_eX]

[DOI]

Proceedings of the SIAM International Conference on Data Mining, 2009

A Convex Method for Locating Regions of Interest with Multi-instance Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

T-IRS: textual query based image retrieval system for consumer photos.

[BibT_eX]

[DOI]

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

Using large-scale web data to facilitate textual query based retrieval of consumer photos.

[BibT_eX]

[DOI]

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

Extracting discriminative concepts for domain adaptation in text mining.

[BibT_eX]

[DOI]

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Spectral Embedded Clustering.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2009, 2009

SimpleNPKL: simple non-parametric kernel learning.

[BibT_eX]

[DOI]

Jinfeng Zhuang

Steven C. H. Hoi

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

Domain adaptation from multiple sources via auxiliary classifiers.

[BibT_eX]

[DOI]

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

Domain Transfer SVM for video concept detection.

[BibT_eX]

[DOI]

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

2008

Large-Scale Maximum Margin Discriminant Analysis Using Core Vector Machines.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2008

Improved Nyström low-rank approximation and error analysis.

[BibT_eX]

[DOI]

Kai Zhang

Proceedings of the Machine Learning, 2008

2007

A Class of Single-Class Minimax Probability Machines for Novelty Detection.

[BibT_eX]

[DOI]

Jacek M. Zurada

IEEE Trans. Neural Networks, 2007

SVDD-Based Pattern Denoising.

[BibT_eX]

[DOI]

Neural Comput., 2007

Ensembles of Partially Trained SVMs with Multiplicative Updates.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2007, 2007

Simpler core vector machines with enclosing balls.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2007

2006

Generalized Core Vector Machines.

[BibT_eX]

[DOI]

Jacek M. Zurada

IEEE Trans. Neural Networks, 2006

Efficient hyperkernel learning using second-order cone programming.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2006

Large-Scale Sparsified Manifold Regularization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Efficient kernel feature extraction for massive data sets.

[BibT_eX]

[DOI]

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Learning the Kernel in Mahalanobis One-Class Support Vector Machines.

[BibT_eX]

[DOI]

Shutao Li

Proceedings of the International Joint Conference on Neural Networks, 2006

Fast Speaker Adaption Via Maximum Penalized Likelihood Kernel Regression.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Diversified SVM Ensembles for Large Data Sets.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML 2006, 2006

2005

Core Vector Machines: Fast SVM Training on Very Large Data Sets.

[BibT_eX]

[DOI]

Pak-Ming Cheung

J. Mach. Learn. Res., 2005

Core Vector Regression for very large regression problems.

[BibT_eX]

[DOI]

Kimo T. Lai

Proceedings of the Machine Learning, 2005

Position estimation for wireless sensor networks.

[BibT_eX]

[DOI]

Proceedings of the Global Telecommunications Conference, 2005. GLOBECOM '05, St. Louis, Missouri, USA, 28 November, 2005

Very Large SVM Training using Core Vector Machines.

[BibT_eX]

[DOI]

Pak-Ming Cheung

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004

Fusing images with different focuses using support vector machines.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2004

The pre-image problem in kernel methods.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2004

2003

Linear dependency between ε and the input noise in ε-support vector regression.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2003

Learning with Idealized Kernels.

[BibT_eX]

[DOI]