Juntao Li

Orcid: 0000-0002-6286-7529

According to our database1, Juntao Li authored at least 176 papers between 2004 and 2025.

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Bibliography

2025
Adaptive Current Limiting Control in Half-Bridge MMC for DC Fault.
IEEE Trans. Ind. Electron., January, 2025

2024
Distributed Control Design for Solving Linear Algebraic Equations via Adjustable Domains.
IEEE Trans. Autom. Control., December, 2024

Randomness Regularization With Simple Consistency Training for Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2024

Auto-adjustable hypergraph regularized non-negative matrix factorization for image clustering.
Pattern Recognit., January, 2024

SMGCN: Multiple Similarity and Multiple Kernel Fusion Based Graph Convolutional Neural Network for Drug-Target Interactions Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024

MAHyNet: Parallel Hybrid Network for RNA-Protein Binding Sites Prediction Based on Multi-Head Attention and Expectation Pooling.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024

Enhancing Low-Resource NLP by Consistency Training With Data and Model Perturbations.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Screening Nonlinear miRNA Features of Breast Cancer by Using Ensemble Regularized Polynomial Logistic Regression.
J. Comput. Biol., 2024

Detection and recognition of multiple QR codes based on YOLO_CBAM algorithm.
Int. J. Bio Inspired Comput., 2024

Unleashing Reasoning Capability of LLMs via Scalable Question Synthesis from Scratch.
CoRR, 2024

LOGO - Long cOntext aliGnment via efficient preference Optimization.
CoRR, 2024

Beware of Calibration Data for Pruning Large Language Models.
CoRR, 2024

Revealing and Mitigating the Local Pattern Shortcuts of Mamba.
CoRR, 2024

L-CiteEval: Do Long-Context Models Truly Leverage Context for Responding?
CoRR, 2024

MemLong: Memory-Augmented Retrieval for Long Text Modeling.
CoRR, 2024

ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM.
CoRR, 2024

OPT-Tree: Speculative Decoding with Adaptive Draft Tree Structure.
CoRR, 2024

Timo: Towards Better Temporal Reasoning for Language Models.
CoRR, 2024

A Survey on Human Preference Learning for Large Language Models.
CoRR, 2024

Demonstration Augmentation for Zero-shot In-context Learning.
CoRR, 2024

Fennec: Fine-grained Language Model Evaluation and Correction Extended through Branching and Bridging.
CoRR, 2024

Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization.
CoRR, 2024

OpenBA-V2: Reaching 77.3% High Compression Ratio with Fast Multi-Stage Pruning.
CoRR, 2024

Rethinking Negative Instances for Generative Named Entity Recognition.
CoRR, 2024

StrokeNUWA: Tokenizing Strokes for Vector Graphic Synthesis.
CoRR, 2024

ALRIGMR: Adaptive logistic regression via integrating gene mutation and RNA-seq for liver cancer diagnosis.
Biomed. Signal Process. Control., 2024

Towards Better Chinese Spelling Check for Search Engines: A New Dataset and Strong Baseline.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024


The Benefits in Shallow: Merge Decoding Across Large Language Model Layers.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

StrokeNUWA - Tokenizing Strokes for Vector Graphic Synthesis.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Are Bert Family Good Instruction Followers? A Study on Their Potential And Limitations.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

LayoutNUWA: Revealing the Hidden Layout Expertise of Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Achieving Stronger Generation via Simple Contrastive Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

CMD: a framework for Context-aware Model self-Detoxification.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Retrieval and Reasoning on KGs: Integrate Knowledge Graphs into Large Language Models for Complex Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

TabMedBERT: A Tabular Knowledge Enhanced Biomedical Pretrained Language Model.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Towards More Realistic Chinese Spell Checking with New Benchmark and Specialized Expert Model.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Exploring and Mitigating Shortcut Learning for Generative Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Efficient Domain Adaptation for Non-Autoregressive Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Demonstration Augmentation for Zero-shot In-context Learning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning?
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Exploring Reversal Mathematical Reasoning Ability for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Rethinking Negative Instances for Generative Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Identifying phenotype-associated subpopulations through LP_SGL.
Briefings Bioinform., November, 2023

A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Are the BERT family zero-shot learners? A study on their potential and limitations.
Artif. Intell., September, 2023

3D directional gradient <i>L</i><sub><i>0</i></sub> norm minimization guided limited-view reconstruction in a dual-panel positron emission mammography.
Comput. Biol. Medicine, July, 2023

WGRLR: A Weighted Group Regularized Logistic Regression for Cancer Diagnosis and Gene Selection.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Resolving Crash Bugs via Large Language Models: An Empirical Study.
CoRR, 2023

Beyond Hard Samples: Robust and Effective Grammatical Error Correction with Cycle Self-Augmenting.
CoRR, 2023

OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch.
CoRR, 2023

Harnessing the Power of David against Goliath: Exploring Instruction Data Generation without Using Closed-Source Models.
CoRR, 2023

GameEval: Evaluating LLMs on Conversational Games.
CoRR, 2023

Detoxify Language Model Step-by-Step.
CoRR, 2023

Test-Time Adaptation with Perturbation Consistency Learning.
CoRR, 2023

AMOM: Adaptive Masking over Masking for Conditional Masked Language Model.
CoRR, 2023

Robust Question Answering against Distribution Shifts with Test-Time Adaptation: An Empirical Study.
CoRR, 2023

Improving diagnosis accuracy of non-small cell lung carcinoma on noisy data by adaptive group lasso regularized multinomial regression.
Biomed. Signal Process. Control., 2023

Future Augmentation with Self-distillation in Recommendation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Beyond Hard Samples: Robust and Effective Grammatical Error Correction with Cycle Self-Augmenting.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CT4Rec: Simple yet Effective Consistency Training for Sequential Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

INFORM : Information eNtropy based multi-step reasoning FOR large language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

G-SPEED: General SParse Efficient Editing MoDel.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Efficient Continue Training of Temporal Language Model with Structural Information.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Beware of Model Collapse! Fast and Stable Test-time Adaptation for Robust Question Answering.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Isotropic Representation Can Improve Zero-Shot Cross-Lingual Transfer on Multilingual Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Isotropy-Enhanced Conditional Masked Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

KBioXLM: A Knowledge-anchored Biomedical Multilingual Pretrained Language Model.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Towards Better Hierarchical Text Classification with Data Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

CORE: Cooperative Training of Retriever-Reranker for Effective Dialogue Response Selection.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Can Diffusion Model Achieve Better Performance in Text Generation ? Bridging the Gap between Training and Inference !
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Open-ended Long Text Generation via Masked Language Modeling.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Dynamic and Efficient Inference for Text Generation via BERT Family.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Early Exit with Disentangled Representation and Equiangular Tight Frame.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

AMOM: Adaptive Masking over Masking for Conditional Masked Language Model.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

RenewNAT: Renewing Potential Translation for Non-autoregressive Transformer.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Identification of miRNA biomarkers for breast cancer by combining ensemble regularized multinomial logistic regression and Cox regression.
BMC Bioinform., December, 2022

Active Converter Injection-Based Protection for a Photovoltaic DC Distribution System.
IEEE Trans. Ind. Electron., 2022

Multi-Teacher Distillation With Single Model for Neural Machine Translation.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

TSVMPath: Fast Regularization Parameter Tuning Algorithm for Twin Support Vector Machine.
Neural Process. Lett., 2022

Modeling green supply chain games with governmental interventions and risk preferences under fuzzy uncertainties.
Math. Comput. Simul., 2022

Deep Learning for Dialogue Systems: Chit-Chat and Beyond.
Found. Trends Inf. Retr., 2022

Solution path algorithm for twin multi-class support vector machine.
Expert Syst. Appl., 2022

Chinese grammatical error correction based on knowledge distillation.
CoRR, 2022

An interpretable deep learning approach for calibration transfer among multiple near-infrared instruments.
Comput. Electron. Agric., 2022

Logistic regression with adaptive sparse group lasso penalty and its application in acute leukemia diagnosis.
Comput. Biol. Medicine, 2022

Image-text Retrieval: A Survey on Recent Research and Development.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Robust Question Answering against Distribution Shifts with Test-Time Adaption: An Empirical Study.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Improving Temporal Generalization of Pre-trained Language Models with Lexical Semantic Change.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

JANUS: Joint Autoregressive and Non-autoregressive Training with Auxiliary Loss for Sequence Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SelfMix: Robust Learning against Textual Label Noise with Self-Mixup Training.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Gated Mechanism Enhanced Multi-Task Learning for Dialog Routing.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Dialogue History Matters! Personalized Response Selection in Multi-Turn Retrieval-Based Chatbots.
ACM Trans. Inf. Syst., 2021

A hybrid many-objective competitive swarm optimization algorithm for large-scale multirobot task allocation problem.
Int. J. Mach. Learn. Cybern., 2021

C<sup>2</sup>-Rec: An Effective Consistency Constraint for Sequential Recommendation.
CoRR, 2021

Building an Efficient and Effective Retrieval-based Dialogue System via Mutual Learning.
CoRR, 2021

Dialogue History Matters! Personalized Response Selectionin Multi-turn Retrieval-based Chatbots.
CoRR, 2021

Storage Assignment Optimization in Robotic Mobile Fulfillment Systems.
Complex., 2021

RAMRSGL: A Robust Adaptive Multinomial Regression Model for Multicancer Classification.
Comput. Math. Methods Medicine, 2021

How does Truth Evolve into Fake News? An Empirical Study of Fake News Evolution.
Proceedings of the Companion of The Web Conference 2021, 2021

R-Drop: Regularized Dropout for Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning to Organize a Bag of Words into Sentences with Neural Networks: An Empirical Study.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Road Network Optimization of Intelligent Warehouse Picking Systems Based on Improved Genetic Algorithm.
Proceedings of the 7th IEEE International Conference on Cloud Computing and Intelligent Systems, 2021

Research on Reconstruction Technology for Injection Molding Screws Based on Reverse Engineering.
Proceedings of the AIAM 2021: 3rd International Conference on Artificial Intelligence and Advanced Manufacture, Manchester, United Kingdom, October 23, 2021

Enhancing the Open-Domain Dialogue Evaluation in Latent Space.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Content Learning with Structure-Aware Writing: A Graph-Infused Dual Conditional Variational Autoencoder for Automatic Storytelling.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
The optimal upgrade frequency and lifecycle under maintenance for a single-product rollover.
J. Oper. Res. Soc., 2020

Machine vision of textile testing and quality research.
J. Intell. Fuzzy Syst., 2020

Multi-modal product title compression.
Inf. Process. Manag., 2020

Feature Adaptation of Pre-Trained Language Models across Languages and Domains for Text Classification.
CoRR, 2020

Urban population density estimation based on spatio-temporal trajectories.
Concurr. Comput. Pract. Exp., 2020

Task scheduling based on deep reinforcement learning in a cloud manufacturing environment.
Concurr. Comput. Pract. Exp., 2020

Chip Power-Frequency Scaling in 10/7nm Node.
IEEE Access, 2020

Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

A Community Platform for Research on Pricing and Distributed Machine Learning.
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Plan-CVAE: A Planning-Based Conditional Variational Autoencoder for Story Generation.
Proceedings of the Chinese Computational Linguistics - 19th China National Conference, CCL 2020, Hainan, China, October 30, 2020

Draft and Edit: Automatic Storytelling Through Multi-Pass Hierarchical Conditional Variational Autoencoder.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

A Character-Centric Neural Model for Automated Story Generation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Application of Q-learning based on adaptive greedy considering negative rewards in football match system.
Int. J. Wirel. Mob. Comput., 2019

Road Network Extraction from Low-Frequency Trajectories Based on a Road Structure-Aware Filter.
ISPRS Int. J. Geo Inf., 2019

Gene selection of rat hepatocyte proliferation using adaptive sparse group lasso with weighted gene co-expression network analysis.
Comput. Biol. Chem., 2019

Indexing and Search of Order-Preserving Submatrix for Gene Expression Data.
IEEE Access, 2019

The Pod Assignment Model and Algorithm in Robotic Mobile Fulfillment Systems.
Proceedings of the 2019 IEEE International Conference on Service Operations and Logistics, 2019

Flexible Assembly Shop Scheduling Based on Improved Genetic Algorithm.
Proceedings of the 2019 IEEE International Conference on Service Operations and Logistics, 2019

Bridging the Gap: Improve Part-of-speech Tagging for Chinese Social Media Texts with Foreign Words.
Proceedings of the 5th Workshop on Semantic Deep Learning, 2019

Design and Development of a Robotic Arm for Evaluation of Medical MEMS Sensors.
Proceedings of the 2019 IEEE International Conference on Real-time Computing and Robotics, 2019

Boosting Variational Generative Model via Condition Enhancing and Lexical-Editing.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Realtime Water-Hazard Detection and Visualisation for Autonomous Navigation and Advanced Driving Assistance.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2019

Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Stick to the Facts: Learning towards a Fidelity-oriented E-Commerce Product Description Generation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Temporal 3D Fully Connected Network for Water-Hazard Detection.
Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019

Research on Two-Stage Path Planning Algorithms for Storage Multi-AGV.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2019

A Local Map Construction Method for SLAM Problem Based on DBSCAN Clustering Algorithm.
Proceedings of the Bio-inspired Computing: Theories and Applications, 2019

Are Training Samples Correlated? Learning to Generate Dialogue Responses with Multiple References.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Insufficient Data Can Also Rock! Learning to Converse Using Smaller Data with Augmentation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Learning to Write Stories with Thematic Consistency and Wording Novelty.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Grouped Gene Selection of Cancer via Adaptive Sparse Group Lasso Based on Conditional Mutual Information.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Malicious Domain Name Detection Based on Extreme Machine Learning.
Neural Process. Lett., 2018

Adaptive multinomial regression with overlapping groups for multi-class classification of lung cancer.
Comput. Biol. Medicine, 2018

Overview of the NLPCC 2018 Shared Task: Multi-turn Human-Computer Conversations.
Proceedings of the Natural Language Processing and Chinese Computing, 2018

Knowledge-Guided Agent-Tactic-Aware Learning for StarCraft Micromanagement.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Generating Classical Chinese Poems via Conditional Variational Autoencoder and Adversarial Training.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Online Learning Algorithms for Double-Weighted Least Squares Twin Bounded Support Vector Machines.
Neural Process. Lett., 2017

Chaos control for a unified chaotic system using output feedback controllers.
Math. Comput. Simul., 2017

Signed consensus problems on networks of agents with fixed and switching topologies.
Int. J. Control, 2017

Logical Tree and Complex Event Processing in Power Systems.
Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017

Research on a Simulation Period Reference Model and Its General Description Language.
Proceedings of the 2017 IEEE 3rd International Conference on Big Data Security on Cloud (BigDataSecurity), 2017

BP-MPSO Algorithm for PUMA Robot Vacumn Path Planning.
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017, 2017

2016
Monitoring Dangerous Goods in Container Yard Using the Internet of Things.
Sci. Program., 2016

Weighted doubly regularized support vector machine and its application to microarray classification with noise.
Neurocomputing, 2016

GeneRank-based partly adaptive group-penalised multinomial regression for microarray classification.
Int. J. Data Min. Bioinform., 2016

The Research on E-Commerce Logistics Picking AGV Path Optimization Method Based on the Improved A* Algorithm.
Proceedings of the 2016 International Conference on Cybernetics, Robotics and Control, 2016

2015
Stabilization and Separation Principle of Networked Control Systems Using the T-S Fuzzy Model Approach.
IEEE Trans. Fuzzy Syst., 2015

Dynamic frequency shift in photonic crystal resonators and slow light waveguides.
Proceedings of the 17th International Conference on Transparent Optical Networks, 2015

2014
A location aware based handoff algorithm in V2I system of railway environment.
Proceedings of the Global Information Infrastructure and Networking Symposium, 2014

2013
Partly adaptive elastic net and its application to microarray classification.
Neural Comput. Appl., 2013

2012
Iterative Piecewise Linear Regression to Accurately Assess Statistical Significance in Batch Confounded Differential Expression Analysis.
Proceedings of the Bioinformatics Research and Applications - 8th International Symposium, 2012

2011
Adaptive huberized support vector machine and its application to microarray classification.
Neural Comput. Appl., 2011

A Survey of Bilevel Programming Model and Algorithm.
Proceedings of the 4th International Symposium on Computational Intelligence and Design, 2011

The Application of Mining Association Rules in Online Shopping.
Proceedings of the 4th International Symposium on Computational Intelligence and Design, 2011

2010
Genome-wide estimation of firing efficiencies of origins of DNA replication from time-course copy number variation data.
BMC Bioinform., 2010

Deciphering Transcription Factor Binding Patterns from Genome-Wide High Density ChIP-chip Tiling Array Data.
Proceedings of the Bioinformatics Research and Applications, 6th International Symposium, 2010

2009
Modeling and Visualizing Heterogeneity of Spatial Patterns of Protein-DNA Interaction from High-Density Chromatin Precipitation Mapping Data.
Proceedings of the Bioinformatics Research and Applications, 5th International Symposium, 2009

ERP ISV Investment Analysis under Fuzzy Decision Environment.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

An ERP System Selection Model Based on Fuzzy Grey TOPSIS for SMEs.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

Gene selection of multiple cancer types via huberized multi-class support vector machine.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

A new support vector machine for microarray classification and adaptive gene selection.
Proceedings of the American Control Conference, 2009

2008
Stepped Linear Regression to Accurately Assess Statistical Significance in Batch Confounded Differential Expression Analysis.
Proceedings of the Bioinformatics Research and Applications, 2008

Near-sigmoid Modeling to Simultaneously Profile Genome-wide DNA Replication Timing and Efficiency in Single DNA Replication Microarray Studies.
Proceedings of the 6th Asia-Pacific Bioinformatics Conference, 2008

2007
Data-Driven Smoothness Enhanced Variance Ratio Test to Unearth Responsive Genes in 0-Time Normalized Time-Course Microarray Data.
Proceedings of the Bioinformatics Research and Applications, Third International Symposium, 2007

Dual Forms of SVM and MEB in Terms of Different Norms of Distance.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, 2007

2004
Disease Gene Explorer: Display Disease Gene Dependency by Combining Bayesian Networks with Clustering.
Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004


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