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Trung Le

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

120

Venues

31

Active years

2010–2026

Best venue rank

A*

Where they publish

Papers

120 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIDIET: Machine Unlearning on a Data-Diet.Nilakshan Kunananthaseelan, Jing Wu, Trung Le, Gholamreza Haffari, Mehrtash Harandi
2026AAAICTPD: Cross Tokenizer Preference Distillation.Truong Nguyen, Phi Van Dat, Ngan Nguyen, Linh Ngo Van, Trung Le, Thanh Hong Nguyen
2026AAAIMCW-KD: Multi-Cost Wasserstein Knowledge Distillation for Large Language Models.Hoang Tran Vuong, Tue Le, Quyen Tran, Linh Ngo Van, Trung Le
2026ACLMTA: Multi-Granular Trajectory Alignment for Large Language Model Distillation.Pham Khanh Chi, Quoc Phong Dao, Thuat Nguyen, Linh Ngo Van, Trung Le, Thanh Hong Nguyen
2026ACLSRA: Span Representation Alignment for Large Language Model Distillation.Quoc Phong Dao, Hoang Son Nguyen, Pham Khanh Chi, Tung Nguyen, Linh Ngo Van, Nguyen Thi Ngoc Diep, Trung Le
2026ACLTALAS: Teacher-Anchored Layer Alignment with Adaptive Sharpness-Aware Minimization for Embedding Distillation.Quoc Phong Dao, Hoang Son Nguyen, Pham Khanh Chi, Linh Ngo Van, Nguyen Thi Ngoc Diep, Thien Huu Nguyen, Trung Le
2026ACLMIPIC: Matryoshka Representation Learning via Self-Distilled Intra-Relational and Progressive Information Chaining.Phung Gia Huy, Hai An Vu, Minh-Phuc Truong, Thang Duc Tran, Linh Ngo Van, Thanh Hong Nguyen, Trung Le
2026ACLLayer-Wise High-Impact Parameter Ratio Optimization in Post-Training Quantization for Large Language Models.Cuong Pham, Dung Anh Hoang, Cuong C. Nguyen, Trung Le, Gustavo Carneiro, Thanh-Toan Do
2026ACLMemORAI: Memory Organization and Retrieval via Adaptive Graph Intelligence for LLM Conversational Agents.Hung Pham Van, Nguyen Manh Hieu, Khang Pham Tran Tuan, Nam Le Hai, Linh Ngo Van, Nguyen Thi Ngoc Diep, Trung Le
2026ACLLLM-XTM: Enhancing Cross-Lingual Topic Models with Large Language Models.Minh Chu Xuan, Tien-Phat Nguyen, Linh Ngo Van, Dinh Viet Sang, Nguyen Thi Ngoc Diep, Trung Le
2026EACLCausal Direct Preference Optimization for Language Model Alignment.Uyen Le, Thin Nguyen, Toan Nguyen, Toan Doan, Trung Le, Bac Le
2026EACLBeyond Coherence: Improving Temporal Consistency and Interpretability in Dynamic Topic Models.Thanh Vinh Nguyen, Ngo Van Dong, Minh Chu Xuan, Tung Nguyen, Linh Ngo Van, Dinh Viet Sang, Trung Le
2026EACLDWA-KD: Dual-Space Weighting and Time-Warped Alignment for Cross-Tokenizer Knowledge Distillation.Duc Trung Vu, Chi Pham Khanh, Phi Van Dat, Ngo Van Linh, Dinh Viet Sang, Trung Le
2025CVPRErasing Undesirable Influence in Diffusion Models.Jing Wu, Trung Le, Munawar Hayat, Mehrtash Harandi
2025CVPREnhancing Dataset Distillation via Non-Critical Region Refinement.Minh-Tuan Tran, Trung Le, Xuan-May Le, Thanh-Toan Do, Dinh Q. Phung
2025CVPRPreserving Clusters in Prompt Learning for Unsupervised Domain Adaptation.Tung-Long Vuong, Hoang Phan, Vy Vo, Anh Bui, Thanh-Toan Do, Trung Le, Dinh Phung
2025EMNLPMixLoRA-DSI: Dynamically Expandable Mixture-of-LoRA Experts for Rehearsal-Free Generative Retrieval over Dynamic Corpora.Tuan-Luc Huynh, Thuy-Trang Vu, Weiqing Wang, Trung Le, Dragan Gasevic, Yuan-Fang Li, Thanh-Toan Do
2025EMNLPMulti-Surrogate-Objective Optimization for Neural Topic Models.Tue Le, Hoang Tran Vuong, Tung Nguyen, Linh Ngo Van, Dinh Viet Sang, Trung Le, Thien Huu Nguyen
2025EMNLPXTRA: Cross-Lingual Topic Modeling with Topic and Representation Alignments.Tien-Phat Nguyen, Vu Minh Ngo, Tung Nguyen, Linh Ngo Van, Duc Anh Nguyen, Dinh Viet Sang, Trung Le
2025EMNLPEMO: Embedding Model Distillation via Intra-Model Relation and Optimal Transport Alignments.Minh-Phuc Truong, Hai An Vu, Tu Vu, Nguyen Thi Ngoc Diep, Linh Van Ngo, Thien Huu Nguyen, Trung Le
2025FPGABAQET: BRAM-aware Quantization for Efficient Transformer Inference via Stream-based Architecture on an FPGA.LingChi Yang, Chi-Jui Chen, Trung Le, Bo-Cheng Lai, Scott Hauck, Shih-Chieh Hsu
2025ICCVBeyond Losses Reweighting: Empowering Multi-Task Learning via the Generalization Perspective.Hoang Phan, Lam Tran, Quyen Tran, Ngoc N. Tran, Tuan Truong, Qi Lei, Nhat Ho, Dinh Q. Phung, Trung Le
2025ICCVA Good Teacher Adapts Their Knowledge for Distillation.Chengyao Qian, Trung Le, Mehrtash Harandi
2025ICLRFantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them.Anh Tuan Bui, Thuy-Trang Vu, Long Tung Vuong, Trung Le, Paul Montague, Tamas Abraham, Junae Kim, Dinh Phung
2025ICLRImproved Training Technique for Latent Consistency Models.Quan Dao, Khanh Doan, Di Liu, Trung Le, Dimitris N. Metaxas
2025ICLRRevisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts.Minh Le, Chau Nguyen, Huy Nguyen, Quyen Tran, Trung Le, Nhat Ho
2025ICLRNetFormer: An interpretable model for recovering dynamical connectivity in neuronal population dynamics.Ziyu Lu, Wuwei Zhang, Trung Le, Hao Wang, Uygar Smbl, Eric Todd Shea-Brown, Lu Mi
2025ICLRBoosting Multiple Views for pretrained-based Continual Learning.Quyen Tran, Tung Lam Tran, Khanh Doan, Toan Tran, Dinh Q. Phung, Khoat Than, Trung Le
2025ICMLPromoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models.Ngoc-Quan Pham, Tuan Truong, Quyen Tran, Tan Minh Nguyen, Dinh Phung, Trung Le
2025ICMLRepLoRA: Reparameterizing Low-rank Adaptation via the Perspective of Mixture of Experts.Tuan Truong, Chau Nguyen, Huy Nguyen, Minh Le, Trung Le, Nhat Ho
2025ICMLImproving Generalization with Flat Hilbert Bayesian Inference.Tuan Truong, Quyen Tran, Ngoc-Quan Pham, Nhat Ho, Dinh Phung, Trung Le
2025NAACLMutual-pairing Data Augmentation for Fewshot Continual Relation Extraction.Nguyen Hoang Anh, Quyen Tran, Thanh Xuan Nguyen, Nguyen Thi Ngoc Diep, Linh Ngo Van, Thien Huu Nguyen, Trung Le
2024CVPRText-Enhanced Data-Free Approach for Federated Class-Incremental Learning.Minh-Tuan Tran, Trung Le, Xuan-May Le, Mehrtash Harandi, Dinh Phung
2024CVPRNAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation.Minh-Tuan Tran, Trung Le, Xuan-May Le, Mehrtash Harandi, Quan Hung Tran, Dinh Q. Phung
2024ECCVDiffAugment: Diffusion Based Long-Tailed Visual Relationship Recognition.Parul Gupta, Tuan Nguyen, Abhinav Dhall, Munawar Hayat, Trung Le, Thanh-Toan Do
2024ECCVMetaAug: Meta-data Augmentation for Post-training Quantization.Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do
2024EMNLPPreserving Generalization of Language models in Few-shot Continual Relation Extraction.Quyen Tran, Nguyen Xuan Thanh, Nguyen Hoang Anh, Nam Le Hai, Trung Le, Linh Van Ngo, Thien Huu Nguyen
2024ICMLSharpness-Aware Data Generation for Zero-shot Quantization.Hoang Anh Dung, Cuong Pham, Trung Le, Jianfei Cai, Thanh-Toan Do
2024ICMLOptimal Transport for Structure Learning Under Missing Data.Vy Vo, He Zhao, Trung Le, Edwin V. Bonilla, Dinh Phung
2024ICMLParameter Estimation in DAGs from Incomplete Data via Optimal Transport.Vy Vo, Trung Le, Long Tung Vuong, He Zhao, Edwin V. Bonilla, Dinh Phung
2024WACVFrequency Attention for Knowledge Distillation.Cuong Pham, Van-Anh Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do
2023AISTATSGlobal-Local Regularization Via Distributional Robustness.Hoang Phan, Trung Le, Trung Phung, Anh Tuan Bui, Nhat Ho, Dinh Q. Phung
2023APSECChatGPT for Vulnerability Detection, Classification, and Repair: How Far Are We?Michael Fu, Chakkrit Kla Tantithamthavorn, Van Nguyen, Trung Le
2023ICLRAn Additive Instance-Wise Approach to Multi-class Model Interpretation.Vy Vo, Van Nguyen, Trung Le, Quan Hung Tran, Gholamreza Haffari, Seyit Camtepe, Dinh Phung
2023ICMLVector Quantized Wasserstein Auto-Encoder.Long Tung Vuong, Trung Le, He Zhao, Chuanxia Zheng, Mehrtash Harandi, Jianfei Cai, Dinh Q. Phung
2023KDDFeature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations.Vy Vo, Trung Le, Van Nguyen, He Zhao, Edwin V. Bonilla, Gholamreza Haffari, Dinh Q. Phung
2023MICCAICross-Adversarial Local Distribution Regularization for Semi-supervised Medical Image Segmentation.Thanh Nguyen-Duc, Trung Le, Roland Bammer, He Zhao, Jianfei Cai, Dinh Q. Phung
2023WACVAdversarial local distribution regularization for knowledge distillation.Thanh Nguyen-Duc, Trung Le, He Zhao, Jianfei Cai, Dinh Phung
2022AISTATSOn Global-view Based Defense via Adversarial Attack and Defense Risk Guaranteed Bounds.Trung Le, Anh Tuan Bui, Le Minh Tri Tue, He Zhao, Paul Montague, Quan Hung Tran, Dinh Q. Phung
2022AISTATSParticle-based Adversarial Local Distribution Regularization.Thanh Nguyen-Duc, Trung Le, He Zhao, Jianfei Cai, Dinh Q. Phung
2022ICDCSSupporting Massive DLRM Inference through Software Defined Memory.Ehsan K. Ardestani, Changkyu Kim, Seung Jae Lee, Luoshang Pan, Jens Axboe, Valmiki Rampersad, Banit Agrawal, Fuxun Yu, Ansha Yu, Trung Le, Hector Yuen, Dheevatsa Mudigere, Shishir Juluri, Akshat Nanda, Manoj Wodekar, Krishnakumar Nair, Maxim Naumov, Chris Petersen, Mikhail Smelyanskiy, Vijay Rao
2022ICLRA Unified Wasserstein Distributional Robustness Framework for Adversarial Training.Anh Tuan Bui, Trung Le, Quan Hung Tran, He Zhao, Dinh Q. Phung
2022ICMLOn Transportation of Mini-batches: A Hierarchical Approach.Khai Nguyen, Dang Nguyen, Quoc Dinh Nguyen, Tung Pham, Hung Bui, Dinh Phung, Trung Le, Nhat Ho
2022ICSEReGVD: Revisiting Graph Neural Networks for Vulnerability Detection.Van-Anh Nguyen, Dai Quoc Nguyen, Van Nguyen, Trung Le, Quan Hung Tran, Dinh Phung
2022UAICycle class consistency with distributional optimal transport and knowledge distillation for unsupervised domain adaptation.Tuan Nguyen, Van Nguyen, Trung Le, He Zhao, Quan Hung Tran, Dinh Q. Phung
2021AAAIImproving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness.Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Dinh Phung
2021ICCDPOMI: Polling-Based Memory Interface for Hybrid Memory System.Trung Le, Zhao Zhang, Zhichun Zhu
2021ICCVSTEM: An approach to Multi-source Domain Adaptation with Guarantees.Van-Anh Nguyen, Tuan Nguyen, Trung Le, Quan Hung Tran, Dinh Phung
2021ICLRNeural Topic Model via Optimal Transport.He Zhao, Dinh Phung, Viet Huynh, Trung Le, Wray L. Buntine
2021ICMLLAMDA: Label Matching Deep Domain Adaptation.Trung Le, Tuan Nguyen, Nhat Ho, Hung Bui, Dinh Phung
2021IJCAITIDOT: A Teacher Imitation Learning Approach for Domain Adaptation with Optimal Transport.Tuan Nguyen, Trung Le, Nhan Dam, Quan Hung Tran, Truyen Nguyen, Dinh Q. Phung
2021IJCNNInformation-theoretic Source Code Vulnerability Highlighting.Van Nguyen, Trung Le, Olivier Y. de Vel, Paul Montague, John Grundy, Dinh Phung
2021UAIMost: multi-source domain adaptation via optimal transport for student-teacher learning.Tuan Nguyen, Trung Le, He Zhao, Quan Hung Tran, Truyen Nguyen, Dinh Q. Phung
2020COLINGExplain by Evidence: An Explainable Memory-based Neural Network for Question Answering.Quan Hung Tran, Nhan Dam, Tuan Manh Lai, Franck Dernoncourt, Trung Le, Nham Le, Dinh Phung
2020ECCVImproving Adversarial Robustness by Enforcing Local and Global Compactness.Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier Y. DeVel, Tamas Abraham, Dinh Q. Phung
2020ICMLParameterized Rate-Distortion Stochastic Encoder.Quan Hoang, Trung Le, Dinh Phung
2020ICPRExplain2Attack: Text Adversarial Attacks via Cross-Domain Interpretability.Mahmoud Hossam, Trung Le, He Zhao, Dinh Phung
2020IJCNNStein Variational Gradient Descent with Variance Reduction.Nhan Dam, Trung Le, Viet Huynh, Dinh Phung
2020IJCNNOptiGAN: Generative Adversarial Networks for Goal Optimized Sequence Generation.Mahmoud Hossam, Trung Le, Viet Huynh, Michael Papasimeon, Dinh Phung
2020IJCNNCode Pointer Network for Binary Function Scope Identification.Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, Dinh Phung
2020PAKDDCode Action Network for Binary Function Scope Identification.Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung
2020PAKDDDeep Cost-Sensitive Kernel Machine for Binary Software Vulnerability Detection.Tuan Nguyen, Trung Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung
2020PAKDDDual-Component Deep Domain Adaptation: A New Approach for Cross Project Software Vulnerability Detection.Van Nguyen, Trung Le, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung
2019AAAIRobust Anomaly Detection in Videos Using Multilevel Representations.Hung Vu, Tu Dinh Nguyen, Trung Le, Wei Luo, Dinh Q. Phung
2019ICLRMaximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection.Tue Le, Tuan Nguyen, Trung Le, Dinh Q. Phung, Paul Montague, Olivier Y. de Vel, Lizhen Qu
2019IJCAIThree-Player Wasserstein GAN via Amortised Duality.Nhan Dam, Quan Hoang, Trung Le, Tu Dinh Nguyen, Hung Bui, Dinh Phung
2019IJCAILearning Generative Adversarial Networks from Multiple Data Sources.Trung Le, Quan Hoang, Hung Vu, Tu Dinh Nguyen, Hung Bui, Dinh Q. Phung
2019IJCNNDeep Domain Adaptation for Vulnerable Code Function Identification.Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. DeVel, Paul Montague, Lizhen Qu, Dinh Q. Phung
2018ACMLClustering Induced Kernel Learning.Khanh Nguyen, Nhan Dam, Trung Le, Tu Dinh Nguyen, Dinh Q. Phung
2018ACMLBatch Normalized Deep Boltzmann Machines.Hung Vu, Tu Dinh Nguyen, Trung Le, Wei Luo, Dinh Q. Phung
2018ICLRMGAN: Training Generative Adversarial Nets with Multiple Generators.Quan Hoang, Tu Dinh Nguyen, Trung Le, Dinh Q. Phung
2018ICPRBayesian Multi-Hyperplane Machine for Pattern Recognition.Khanh Nguyen, Trung Le, Tu Dinh Nguyen, Dinh Q. Phung
2018IJCAIGeometric Enclosing Networks.Trung Le, Hung Vu, Tu Dinh Nguyen, Dinh Q. Phung
2018KDDRobust Bayesian Kernel Machine via Stein Variational Gradient Descent for Big Data.Khanh Nguyen, Trung Le, Tu Dinh Nguyen, Dinh Q. Phung, Geoffrey I. Webb
2018WISEJointly Predicting Affective and Mental Health Scores Using Deep Neural Networks of Visual Cues on the Web.Hung Nguyen, Van Nguyen, Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Duc Thanh Nguyen, Trung Le, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen
2017ICDMGoGP: Fast Online Regression with Gaussian Processes.Trung Le, Khanh Nguyen, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung
2017IJCAILarge-scale Online Kernel Learning with Random Feature Reparameterization.Tu Dinh Nguyen, Trung Le, Hung Bui, Dinh Q. Phung
2017IJCAIDiscriminative Bayesian Nonparametric Clustering.Vu Nguyen, Dinh Q. Phung, Trung Le, Hung Bui
2017UAISupervised Restricted Boltzmann Machines.Tu Dinh Nguyen, Dinh Q. Phung, Viet Huynh, Trung Le
2016ACMLMultiple Kernel Learning with Data Augmentation.Khanh Nguyen, Trung Le, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung
2016AISTATSNonparametric Budgeted Stochastic Gradient Descent.Trung Le, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung
2016ESANNFast Support Vector Clustering.Tung Pham, Trung Le, Thai Hoang Le, Dat Tran
2016ICDMOne-Pass Logistic Regression for Label-Drift and Large-Scale Classification on Distributed Systems.Vu Nguyen, Tu Dinh Nguyen, Trung Le, Svetha Venkatesh, Dinh Q. Phung
2016ICPRDistributed data augmented support vector machine on Spark.Tu Dinh Nguyen, Vu Nguyen, Trung Le, Dinh Q. Phung
2016IJCNNFast Kernel-based method for anomaly detection.Anh Le, Trung Le, Khanh Nguyen, Van Nguyen, Thai Hoang Le, Dat Tran
2016IJCNNFuzzy Kernel Stochastic Gradient Descent machines.Tuan Nguyen, Phuong Duong, Trung Le, Anh Le, Viet Ngo, Dat Tran, Wanli Ma
2016PAKDDSparse Adaptive Multi-hyperplane Machine.Khanh Nguyen, Trung Le, Vu Nguyen, Dinh Q. Phung
2016UAIBudgeted Semi-supervised Support Vector Machine .Trung Le, Phuong Duong, Mi Dinh, Tu Dinh Nguyen, Vu Nguyen, Dinh Q. Phung
2015IJCNNGraph-based semi-supervised Support Vector Data Description for novelty detection.Phuong Duong, Van Nguyen, Mi Dinh, Trung Le, Dat Tran, Wanli Ma
2015IJCNNLeast square Support Vector Machine for large-scale dataset.Khanh Nguyen, Trung Le, Vinh Lai, Duy Nguyen, Dat Tran, Wanli Ma
2015PAKDDFast One-Class Support Vector Machine for Novelty Detection.Trung Le, Dinh Q. Phung, Khanh Nguyen, Svetha Venkatesh
2014IJCNNRobust Support Vector Machine.Trung Le, Dat Tran, Wanli Ma, Thien Pham, Phuong Duong, Minh Nguyen
2014IJCNNUsing EEG artifacts for BCI applications.Wanli Ma, Dat Tran, Trung Le, Hong Lin, Shang-Ming Zhou
2014IJCNNKernel-based semi-supervised learning for novelty detection.Van Nguyen, Trung Le, Thien Pham, Mi Dinh, Thai Hoang Le
2013IJCNNMaximal margin learning vector quantisation.Trung Le, Dat Tran, Van Nguyen, Wanli Ma
2013IJCNNFuzzy entropy semi-supervised support vector data description.Trung Le, Dat Tran, Tien Tran, Khanh Nguyen, Wanli Ma
2013PAKDDFuzzy Multi-Sphere Support Vector Data Description.Trung Le, Dat Tran, Wanli Ma
2013PAKDDEEG-Based Person Verification Using Multi-Sphere SVDD and UBM.Phuoc Nguyen, Dat Tran, Trung Le, Xu Huang, Wanli Ma
2012ICONIPTime Domain Parameters for Online Feedback fNIRS-Based Brain-Computer Interface Systems.Tuan Hoang, Dat Tran, Khoa Truong, Trung Le, Xu Huang, Dharmendra Sharma, Toi Vo
2012ICONIPMaximal Margin Approach to Kernel Generalised Learning Vector Quantisation for Brain-Computer Interface.Trung Le, Dat Tran, Tuan Hoang, Dharmendra Sharma
2012ICONIPDeterministic Annealing Multi-Sphere Support Vector Data Description.Trung Le, Dat Tran, Wanli Ma, Dharmendra Sharma
2012IJCNNA unified model for support vector machine and support vector data description.Trung Le, Dat Tran, Wanli Ma, Dharmendra Sharma
2011ICONIPGeneralised Support Vector Machine for Brain-Computer Interface.Trung Le, Dat Tran, Tuan Hoang, Wanli Ma, Dharmendra Sharma
2011ICONIPA Novel Parameter Refinement Approach to One Class Support Vector Machine.Trung Le, Dat Tran, Wanli Ma, Dharmendra Sharma
2011ICONIPMulti-Sphere Support Vector Clustering.Trung Le, Dat Tran, Phuoc Nguyen, Wanli Ma, Dharmendra Sharma
2011IJCNNMultiple distribution data description learning method for novelty detection.Trung Le, Dat Tran, Phuoc Nguyen, Wanli Ma, Dharmendra Sharma
2011PAKDDMultiple Distribution Data Description Learning Algorithm for Novelty Detection.Trung Le, Dat Tran, Wanli Ma, Dharmendra Sharma
2010ICONIPA Theoretical Framework for Multi-sphere Support Vector Data Description.Trung Le, Dat Tran, Wanli Ma, Dharmendra Sharma
2010IJCNNAn optimal sphere and two large margins approach for novelty detection.Trung Le, Dat Tran, Wanli Ma, Dharmendra Sharma
2010InterspeechFuzzy support vector machines for age and gender classification.Phuoc Nguyen, Trung Le, Dat Tran, Xu Huang, Dharmendra Sharma