2025
PlanePDM: Boundary-aware 3D planar recovery by using parallel dilated mask head.
Pattern Recognit., 2025
2024
Euclidean Distance is Not Your Swiss Army Knife.
IEEE Trans. Knowl. Data Eng., December, 2024
A Survey of Trustworthy Federated Learning: Issues, Solutions, and Challenges.
ACM Trans. Intell. Syst. Technol., December, 2024
MVEB: Self-Supervised Learning With Multi-View Entropy Bottleneck.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2024
Topology Learning for Heterogeneous Decentralized Federated Learning Over Unreliable D2D Networks.
IEEE Trans. Veh. Technol., August, 2024
Label-Aware Distribution Calibration for Long-Tailed Classification.
IEEE Trans. Neural Networks Learn. Syst., May, 2024
Tackling Long-Tailed Distribution Issue in Graph Neural Networks via Normalization.
IEEE Trans. Knowl. Data Eng., May, 2024
CGDD: Multiview Graph Clustering via Cross-Graph Diversity Detection.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
Adaptive asynchronous federated learning.
Future Gener. Comput. Syst., March, 2024
TopicAns: Topic-informed Architecture for Answer Recommendation on Technical Q&A Site.
ACM Trans. Softw. Eng. Methodol., January, 2024
Multi-Task Multi-Attention Transformer for Generative Named Entity Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2024
Information-Theoretic Generalization Analysis for Topology-Aware Heterogeneous Federated Edge Learning Over Noisy Channels.
IEEE Signal Process. Lett., 2024
MixingMask: A contour-aware approach for joint object detection and instance segmentation.
Pattern Recognit., 2024
CUPID: Improving Battle Fairness and Position Satisfaction in Online MOBA Games with a Re-matchmaking System.
Proc. ACM Hum. Comput. Interact., 2024
Efficient privacy-preserving Gaussian process via secure multi-party computation.
J. Syst. Archit., 2024
Predicting intubation for intensive care units patients: A deep learning approach to improve patient management.
Int. J. Medical Informatics, 2024
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models through Statistically-Guided Geo-Prototyping.
CoRR, 2024
Centaur: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference.
CoRR, 2024
Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization.
CoRR, 2024
FedCVD: The First Real-World Federated Learning Benchmark on Cardiovascular Disease Data.
CoRR, 2024
MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning.
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CoRR, 2024
TimeCNN: Refining Cross-Variable Interaction on Time Point for Time Series Forecasting.
CoRR, 2024
M<sup>2</sup>PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning.
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CoRR, 2024
Can we only use guideline instead of shot in prompt?
CoRR, 2024
Online Optimization for Learning to Communicate over Time-Correlated Channels.
CoRR, 2024
Time Series Analysis for Education: Methods, Applications, and Future Directions.
CoRR, 2024
Intelligent Cross-Organizational Process Mining: A Survey and New Perspectives.
CoRR, 2024
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data.
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CoRR, 2024
Enhancing Efficiency in Sparse Models with Sparser Selection.
CoRR, 2024
FedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning.
CoRR, 2024
Enhancing Multivariate Time Series Forecasting with Mutual Information-driven Cross-Variable and Temporal Modeling.
CoRR, 2024
PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations.
CoRR, 2024
Cumulative Distribution Function based General Temporal Point Processes.
CoRR, 2024
SecFormer: Towards Fast and Accurate Privacy-Preserving Inference for Large Language Models.
CoRR, 2024
A Survey on Scheduling Techniques in Computing and Network Convergence.
IEEE Commun. Surv. Tutorials, 2024
Enhancing Sindhi Word Segmentation Using Subword Representation Learning and Position-Aware Self-Attention.
IEEE Access, 2024
FL@FM-TheWebConf'24: International Workshop on Federated Foundation Models for the Web.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
FedHLT: Efficient Federated Low-Rank Adaption with Hierarchical Language Tree for Multilingual Modeling.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Tensorized Hypergraph Neural Networks.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach.
RLJ, 2024
On the Necessity of Collaboration for Online Model Selection with Decentralized Data.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
FedLFC: Towards Efficient Federated Multilingual Modeling with LoRA-based Language Family Clustering.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Federated Learning for Vehicle Trajectory Prediction: Methodology and Benchmark Study.
Proceedings of the International Joint Conference on Neural Networks, 2024
A Systematic Survey on Federated Semi-supervised Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
On Diversified Preferences of Large Language Model Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning.
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Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Unveiling the Vulnerability of Private Fine-Tuning in Split-Based Frameworks for Large Language Models: A Bidirectionally Enhanced Attack.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024
XMoE: Sparse Models with Fine-grained and Adaptive Expert Selection.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
OctOcc: High-Resolution 3D Occupancy Prediction with Octree.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Preparing Lessons for Progressive Training on Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
RegNet: Self-Regulated Network for Image Classification.
IEEE Trans. Neural Networks Learn. Syst., November, 2023
Graph-Based Semi-Supervised Learning: A Comprehensive Review.
IEEE Trans. Neural Networks Learn. Syst., November, 2023
Single image denoising with a feature-enhanced network.
Neural Networks, November, 2023
Boosting adversarial robustness via self-paced adversarial training.
Neural Networks, October, 2023
A Survey on Deep Semi-Supervised Learning.
IEEE Trans. Knowl. Data Eng., September, 2023
Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity.
IEEE Trans. Knowl. Data Eng., August, 2023
Latent Representation Guided Multi-View Clustering.
IEEE Trans. Knowl. Data Eng., July, 2023
Stein Variational Gradient Descent with Multiple Kernels.
Cogn. Comput., March, 2023
Learning to generate complex question with intent prediction from long passage.
Appl. Intell., March, 2023
FedLab: A Flexible Federated Learning Framework.
J. Mach. Learn. Res., 2023
Edge enhancement improves adversarial robustness in image classification.
Neurocomputing, 2023
On Diversified Preferences of Large Language Model Alignment.
CoRR, 2023
Federated Generalization via Information-Theoretic Distribution Diversification.
CoRR, 2023
Less is More: On the Feature Redundancy of Pretrained Models When Transferring to Few-shot Tasks.
CoRR, 2023
Tackling Hybrid Heterogeneity on Federated Optimization via Gradient Diversity Maximization.
CoRR, 2023
Exploring Federated Optimization by Reducing Variance of Adaptive Unbiased Client Sampling.
CoRR, 2023
Personalized Federated Learning via Amortized Bayesian Meta-Learning.
CoRR, 2023
FedNoisy: Federated Noisy Label Learning Benchmark.
CoRR, 2023
Tensorized Hypergraph Neural Networks.
CoRR, 2023
Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping.
CoRR, 2023
BadCS: A Backdoor Attack Framework for Code search.
CoRR, 2023
Stochastic Clustered Federated Learning.
CoRR, 2023
Tensor Networks Meet Neural Networks: A Survey.
CoRR, 2023
MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing.
CoRR, 2023
Ti-MAE: Self-Supervised Masked Time Series Autoencoders.
CoRR, 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
1st Workshop on Federated Learning Technologies.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
Practical privacy-preserving Gaussian process regression via secret sharing.
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Reusing Pretrained Models by Multi-linear Operators for Efficient Training.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Flexible Contribution Estimation Methods for Horizontal Federated Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023
Prompt Learns Prompt: Exploring Knowledge-Aware Generative Prompt Collaboration For Video Captioning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
SMARTformer: Semi-Autoregressive Transformer with Efficient Integrated Window Attention for Long Time Series Forecasting.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Contrastive Kernel Subspace Clustering.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Generalized Category Discovery with Clustering Assignment Consistency.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Quantized SGD in Federated Learning: Communication, Optimization and Generalization.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization.
Proceedings of the IEEE International Conference on Data Mining, 2023
MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Multi-Task Transformer with Relation-Attention and Type-Attention for Named Entity Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023
Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models.
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Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
Generative Oversampling for Imbalanced Data via Majority-Guided VAE.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
MUSTIE: Multimodal Structural Transformer for Web Information Extraction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
ESync: Accelerating Intra-Domain Federated Learning in Heterogeneous Data Centers.
IEEE Trans. Serv. Comput., 2022
Improved Inference for Imputation-Based Semisupervised Learning Under Misspecified Setting.
IEEE Trans. Neural Networks Learn. Syst., 2022
Measuring Diversity in Graph Learning: A Unified Framework for Structured Multi-View Clustering.
IEEE Trans. Knowl. Data Eng., 2022
Efficient federated multi-view learning.
Pattern Recognit., 2022
AFINet: Attentive Feature Integration Networks for image classification.
Neural Networks, 2022
Re-thinking model robustness from stability: a new insight to defend adversarial examples.
Mach. Learn., 2022
Multiple partitions alignment via spectral rotation.
Mach. Learn., 2022
Spaks: Self-paced multiple kernel subspace clustering with feature smoothing regularization.
Knowl. Based Syst., 2022
Graph Fusion Network for Text Classification.
Knowl. Based Syst., 2022
Data Heterogeneity-Robust Federated Learning via Group Client Selection in Industrial IoT.
IEEE Internet Things J., 2022
Non-uniform Nyström approximation for sparse kernel regression: Theoretical analysis and experimental evaluation.
Neurocomputing, 2022
TedNet: A Pytorch toolkit for tensor decomposition networks.
Neurocomputing, 2022
When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods.
CoRR, 2022
MultiCoder: Multi-Programming-Lingual Pre-Training for Low-Resource Code Completion.
CoRR, 2022
Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling.
CoRR, 2022
A Closer Look into Transformer-Based Code Intelligence Through Code Transformation: Challenges and Opportunities.
CoRR, 2022
ResNorm: Tackling Long-tailed Degree Distribution Issue in Graph Neural Networks via Normalization.
CoRR, 2022
Aggregating Gradients in Encoded Domain for Federated Learning.
CoRR, 2022
MarkBERT: Marking Word Boundaries Improves Chinese BERT.
CoRR, 2022
Source Code Summarization with Structural Relative Position Guided Transformer.
Proceedings of the IEEE International Conference on Software Analysis, 2022
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Multi-view Subspace Clustering on Topological Manifold.
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.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
ACE: A Coarse-to-Fine Learning Framework for Reliable Representation Learning Against Label Noise.
Proceedings of the International Joint Conference on Neural Networks, 2022
Contrastive Multi-view Hyperbolic Hierarchical Clustering.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Channel Importance Matters in Few-Shot Image Classification.
Proceedings of the International Conference on Machine Learning, 2022
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks.
Proceedings of the International Conference on Machine Learning, 2022
Field-aware Variational Autoencoders for Billion-scale User Representation Learning.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Semantically Proportional Patchmix for Few-Shot Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022
Federated Model Decomposition with Private Vocabulary for Text Classification.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Leveraging Only the Category Name for Aspect Detection through Prompt-based Constrained Clustering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training.
Proceedings of the Database Systems for Advanced Applications, 2022
Multi-View Clustering on Topological Manifold.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Pseudo-Supervised Deep Subspace Clustering.
IEEE Trans. Image Process., 2021
Structured graph learning for clustering and semi-supervised classification.
Pattern Recognit., 2021
Robust deep k-means: An effective and simple method for data clustering.
Pattern Recognit., 2021
CRaDLe: Deep code retrieval based on semantic Dependency Learning.
Neural Networks, 2021
Byzantine Resistant Secure Blockchained Federated Learning at the Edge.
IEEE Netw., 2021
Gradient estimation of information measures in deep learning.
Knowl. Based Syst., 2021
Deep embedded multi-view clustering with collaborative training.
Inf. Sci., 2021
Multi-view subspace clustering via partition fusion.
Inf. Sci., 2021
Domain adaptation with feature and label adversarial networks.
Neurocomputing, 2021
MultiFace: A generic training mechanism for boosting face recognition performance.
Neurocomputing, 2021
CoreGen: Contextualized Code Representation Learning for Commit Message Generation.
Neurocomputing, 2021
Machine learning based early mortality prediction in the emergency department.
Int. J. Medical Informatics, 2021
Exploring Category-correlated Feature for Few-shot Image Classification.
CoRR, 2021
Self-Paced Deep Regression Forests with Consideration on Ranking Fairness.
CoRR, 2021
Graph Partner Neural Networks for Semi-Supervised Learning on Graphs.
CoRR, 2021
FedLab: A Flexible Federated Learning Framework.
CoRR, 2021
Kernel Selection for Stein Variational Gradient Descent.
CoRR, 2021
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE.
CoRR, 2021
Rectifying the Shortcut Learning of Background: Shared Object Concentration for Few-Shot Image Recognition.
CoRR, 2021
AFINet: Attentive Feature Integration Networks for Image Classification.
CoRR, 2021
Partial Differential Equations is All You Need for Generating Neural Architectures - A Theory for Physical Artificial Intelligence Systems.
CoRR, 2021
Contrastive Disentanglement in Generative Adversarial Networks.
CoRR, 2021
MultiFace: A Generic Training Mechanism for Boosting Face Recognition Performance.
CoRR, 2021
Unsupervised Sentiment Analysis by Transferring Multi-source Knowledge.
Cogn. Comput., 2021
Creating and Evaluating Resources for Sentiment Analysis in the Low-resource Language: Sindhi.
Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, 2021
Rectifying the Shortcut Learning of Background for Few-Shot Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
CDD: Multi-view Subspace Clustering via Cross-view Diversity Detection.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Angular Triplet Loss-based Camera Network for ReID.
Proceedings of the International Joint Conference on Neural Networks, 2021
Discrete Auto-regressive Variational Attention Models for Text Modeling.
Proceedings of the International Joint Conference on Neural Networks, 2021
Boosting Few-Shot Classification with View-Learnable Contrastive Learning.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
Robustness of Combined sEMG and Ultrasound Modalities Against Muscle Fatigue in Force Estimation.
Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021
2020
Multi-document semantic relation extraction for news analytics.
World Wide Web, 2020
Robust Graph Learning From Noisy Data.
IEEE Trans. Cybern., 2020
Auto-weighted multi-view clustering via deep matrix decomposition.
Pattern Recognit., 2020
Block-term tensor neural networks.
Neural Networks, 2020
Structured pruning of recurrent neural networks through neuron selection.
Neural Networks, 2020
Latent Dirichlet allocation based generative adversarial networks.
Neural Networks, 2020
Partition level multiview subspace clustering.
Neural Networks, 2020
Structure learning with similarity preserving.
Neural Networks, 2020
Relation-Guided Representation Learning.
Neural Networks, 2020
DART: Domain-Adversarial Residual-Transfer networks for unsupervised cross-domain image classification.
Neural Networks, 2020
Deep density-based image clustering.
Knowl. Based Syst., 2020
Multi-graph fusion for multi-view spectral clustering.
Knowl. Based Syst., 2020
Auto-weighted multi-view co-clustering with bipartite graphs.
Inf. Sci., 2020
Self-paced and auto-weighted multi-view clustering.
Neurocomputing, 2020
Two birds with one stone: Transforming and generating facial images with iterative GAN.
Neurocomputing, 2020
Regularized nonnegative matrix factorization with adaptive local structure learning.
Neurocomputing, 2020
A Subword Guided Neural Word Segmentation Model for Sindhi.
CoRR, 2020
Heuristic Rank Selection with Progressively Searching Tensor Ring Network.
CoRR, 2020
Contextualized Code Representation Learning for Commit Message Generation.
CoRR, 2020
ReadNet: Towards Accurate ReID with Limited and Noisy Samples.
CoRR, 2020
Discrete Variational Attention Models for Language Generation.
CoRR, 2020
Self-Paced Deep Regression Forests with Consideration on Underrepresented Samples.
CoRR, 2020
A combination model based on transfer learning for waste classification.
Concurr. Comput. Pract. Exp., 2020
Knowledge Fusion via Joint Tensor and Matrix Factorization.
Cogn. Comput., 2020
Combining Multi-Perspective Attention Mechanism With Convolutional Networks for Monaural Speech Enhancement.
IEEE Access, 2020
Read, Attend, and Exclude: Multi-Choice Reading Comprehension by Mimicking Human Reasoning Process.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Improving Contextual Language Models for Response Retrieval in Multi-Turn Conversation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Multi-Level Multimodal Transformer Network for Multimodal Recipe Comprehension.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Deep K-Means: A Simple and Effective Method for Data Clustering.
Proceedings of the Neural Computing for Advanced Applications, 2020
SiNER: A Large Dataset for Sindhi Named Entity Recognition.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
Learning to Search Efficient DenseNet with Layer-wise Pruning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Concatenated Tensor Networks for Deep Multi-Task Learning.
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Causal Inference for Mixed-Type Data in Additive Noise Models.
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Mutual Information Gradient Estimation for Representation Learning.
Proceedings of the 8th International Conference on Learning Representations, 2020
Self-Paced Deep Regression Forests with Consideration on Underrepresented Examples.
Proceedings of the Computer Vision - ECCV 2020, 2020
Large-Scale Multi-View Subspace Clustering in Linear Time.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Variational Random Function Model for Network Modeling.
IEEE Trans. Neural Networks Learn. Syst., 2019
Auto-weighted multi-view clustering via kernelized graph learning.
Pattern Recognit., 2019
Low-rank kernel learning for graph-based clustering.
Knowl. Based Syst., 2019
Self-paced and soft-weighted nonnegative matrix factorization for data representation.
Knowl. Based Syst., 2019
Self-paced multi-task clustering.
Neurocomputing, 2019
Parallel boosted clustering.
Neurocomputing, 2019
Semi-supervised deep embedded clustering.
Neurocomputing, 2019
Clustering with similarity preserving.
Neurocomputing, 2019
Structure Learning with Similarity Preserving.
CoRR, 2019
A New Corpus for Low-Resourced Sindhi Language with Word Embeddings.
CoRR, 2019
Structured Pruning of Recurrent Neural Networks through Neuron Selection.
CoRR, 2019
Tensor Ring Restricted Boltzmann Machines.
Proceedings of the International Joint Conference on Neural Networks, 2019
Multiple Partitions Aligned Clustering.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Adversarial Noise Layer: Regularize Neural Network by Adding Noise.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Deep Minimax Probability Machine.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019
A Two-Stage Multi-task Learning-Based Method for Selective Unsupervised Domain Adaptation.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019
Additive Adversarial Learning for Unbiased Authentication.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Machine Reading Comprehension: Matching and Orders.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Coherence and Salience-Based Multi-Document Relationship Mining.
Proceedings of the Web and Big Data - Third International Joint Conference, 2019
Constructing Interpretive Spatio-Temporal Features for Multi-Turn Responses Selection.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Similarity Learning via Kernel Preserving Embedding.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Manifold regularized matrix completion for multi-label learning with ADMM.
Neural Networks, 2018
Adaptive local structure learning for document co-clustering.
Knowl. Based Syst., 2018
Self-weighted multi-view clustering with soft capped norm.
Knowl. Based Syst., 2018
Robust multi-view data clustering with multi-view capped-norm K-means.
Neurocomputing, 2018
TensorD: A tensor decomposition library in TensorFlow.
Neurocomputing, 2018
Robust graph regularized nonnegative matrix factorization for clustering.
Data Min. Knowl. Discov., 2018
Latent Dirichlet Allocation in Generative Adversarial Networks.
CoRR, 2018
NeuralCP: Bayesian Multiway Data Analysis with Neural Tensor Decomposition.
Cogn. Comput., 2018
Knowledge Base Completion by Variational Bayesian Neural Tensor Decomposition.
Cogn. Comput., 2018
Semi-supervised DenPeak Clustering with Pairwise Constraints.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018
Superneurons: dynamic GPU memory management for training deep neural networks.
Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2018
Visualizing Multi-document Semantics via Open Domain Information Extraction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Mark-Guided Segmentation of Ultrasonic Thyroid Nodules Using Deep Learning.
Proceedings of the ISICDM 2018: The 2nd International Symposium on Image Computing and Digital Medicine 2018, 2018
Structured Inference for Recurrent Hidden Semi-markov Model.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Association Study of Alzheimer's Disease with Tree-Guided Sparse Canonical Correlation Analysis.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Self-Paced Multi-Task Multi-View Capped-norm Clustering.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Learning Compact Recurrent Neural Networks With Block-Term Tensor Decomposition.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Neural Relational Topic Models for Scientific Article Analysis.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
Learning With Incomplete Labels.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Unified Spectral Clustering With Optimal Graph.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
BT-Nets: Simplifying Deep Neural Networks via Block Term Decomposition.
CoRR, 2017
Two Birds with One Stone: Iteratively Learn Facial Attributes with GANs.
CoRR, 2017
Stochastic Sequential Neural Networks with Structured Inference.
CoRR, 2017
Efficient Communications in Training Large Scale Neural Networks.
Proceedings of the on Thematic Workshops of ACM Multimedia 2017, Mountain View, CA, USA, October 23, 2017
Link prediction by exploiting network formation games in exchangeable graphs.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Balanced self-paced learning with feature corruption.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Learning from semantically dependent multi-tasks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Simple and efficient parallelization for probabilistic temporal tensor factorization.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Nonnegative matrix factorization with adaptive neighbors.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Robust Softmax Regression for Multi-class Classification with Self-Paced Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Regularized Multi-source Matrix Factorization for Diagnosis of Alzheimer's Disease.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Learning with Feature Network and Label Network Simultaneously.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Manifold regularized matrix completion for multilabel classification.
Pattern Recognit. Lett., 2016
Association Discovery and Diagnosis of Alzheimer's Disease with Bayesian Multiview Learning.
J. Artif. Intell. Res., 2016
Distributed Flexible Nonlinear Tensor Factorization.
CoRR, 2016
Distributed Flexible Nonlinear Tensor Factorization.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Consensus Guided Multiple Match Removal for Geometry Verification in Image Retrieval.
Proceedings of the MultiMedia Modeling - 22nd International Conference, 2016
Multi-View Learning with Limited and Noisy Tagging.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
BLASX: A High Performance Level-3 BLAS Library for Heterogeneous Multi-GPU Computing.
Proceedings of the 2016 International Conference on Supercomputing, 2016
Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network.
Proceedings of The 8th Asian Conference on Machine Learning, 2016
DinTucker: Scaling Up Gaussian Process Models on Large Multidimensional Arrays.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
Learning with Marginalized Corrupted Features and Labels Together.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Bayesian Nonparametric Models for Multiway Data Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2015
Budget constrained non-monotonic feature selection.
Neural Networks, 2015
Learning from Others: User Anomaly Detection Using Anomalous Samples from Other Users.
Proceedings of the Computer Security - ESORICS 2015, 2015
Scalable Nonparametric Multiway Data Analysis.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
Sparse Bayesian Multiview Learning for Simultaneous Association Discovery and Diagnosis of Alzheimer's Disease.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Nystrom Approximation for Sparse Kernel Methods: Theoretical Analysis and Empirical Evaluation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Joint Association Discovery and Diagnosis of Alzheimer's Disease by Supervised Heterogeneous Multiview Learning.
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014
Non-monotonic Feature Selection for Regression.
Proceedings of the Neural Information Processing - 21st International Conference, 2014
Kernel tapering: A simple and effective approach to sparse kernels for image processing.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Detecting Insider Information Theft Using Features from File Access Logs.
Proceedings of the Computer Security - ESORICS 2014, 2014
2013
Supervised Heterogeneous Multiview Learning for Joint Association Study and Disease Diagnosis
CoRR, 2013
Exact and Stable Recovery of Pairwise Interaction Tensors.
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
2012
Infinite Tucker Decomposition: Nonparametric Bayesian Models for Multiway Data Analysis.
Proceedings of the 29th International Conference on Machine Learning, 2012
2011
Efficient Sparse Generalized Multiple Kernel Learning.
IEEE Trans. Neural Networks, 2011
InfTucker: t-Process based Infinite Tensor Decomposition
CoRR, 2011
Sparse matrix-variate Gaussian process blockmodels for network modeling.
Proceedings of the UAI 2011, 2011
Sparse Matrix-Variate t Process Blockmodels.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
2010
Discriminative semi-supervised feature selection via manifold regularization.
IEEE Trans. Neural Networks, 2010
Robust Metric Learning by Smooth Optimization.
Proceedings of the UAI 2010, 2010
Online Learning for Group Lasso.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
Simple and Efficient Multiple Kernel Learning by Group Lasso.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
Smooth Optimization for Effective Multiple Kernel Learning.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
2009
A novel kernel-based maximum a posteriori classification method.
Neural Networks, 2009
Heavy-Tailed Symmetric Stochastic Neighbor Embedding.
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
Adaptive Regularization for Transductive Support Vector Machine.
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
Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data.
Proceedings of the International Joint Conference on Neural Networks, 2009
Non-monotonic feature selection.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
2008
An Extended Level Method for Efficient Multiple Kernel Learning.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Semi-supervised Learning from General Unlabeled Data.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
An Effective Approach to 3D Deformable Surface Tracking.
Proceedings of the Computer Vision, 2008
Semi-supervised text categorization by active search.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008
2007
Feature Selection Based on Minimum Error minimax Probability Machine.
Int. J. Pattern Recognit. Artif. Intell., 2007
Web page classification with heterogeneous data fusion.
Proceedings of the 16th International Conference on World Wide Web, 2007
Efficient Convex Relaxation for Transductive Support Vector Machine.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Maximum Margin based Semi-supervised Spectral Kernel Learning.
Proceedings of the International Joint Conference on Neural Networks, 2007
Kernel Maximum a Posteriori Classification with Error Bound Analysis.
Proceedings of the Neural Information Processing, 14th International Conference, 2007
2004
Feature Selection with Particle Swarms.
Proceedings of the Computational and Information Science, First International Symposium, 2004