SAT-controlled redundancy addition and removal: a novel circuit restructuring technique. - Chi-An Wu; Ting-Hao Lin; Shao-Lun Huang; Chung-Yang Huang (ASP-DAC, 2009)

Interpolant generation without constructing resolution graph. - Chih-Jen Hsu; Shao-Lun Huang; Chi-An Wu; Chung-Yang Huang (ICCAD, 2009)

The design of binary shaping filter of binary code. - Shao-Lun Huang; Yufei W. Blankenship; Lizhong Zheng (WCNIS, 2010)

A robust ECO engine by resource-constraint-aware technology mapping and incremental routing optimization. - Shao-Lun Huang; Chi-An Wu; Kai-Fu Tang; Chang-Hong Hsu; Chung-Yang Huang (ASP-DAC, 2011)

Match and replace - A functional ECO engine for multi-error circuit rectification. - Shao-Lun Huang; Wei-Hsun Lin; Chung-Yang (Ric) Huang (ICCAD, 2011)

Linear information coupling problems. - Shao-Lun Huang; Lizhong Zheng (ISIT, 2012)

Match and Replace: A Functional ECO Engine for Multierror Circuit Rectification. - Shao-Lun Huang; Wei-Hsun Lin; Po-Kai Huang; Chung-Yang Huang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2013)

Proof of the Outage Probability Conjecture for MISO Channels. - Emmanuel Abbe; Shao-Lun Huang; Emre Telatar (IEEE Trans. Inf. Theory, 2013)

Euclidean network information theory. - Shao-Lun Huang (2013)

Efficient statistics: Extracting information from IID observations. - Shao-Lun Huang; Anuran Makur; Fabian Kozynski; Lizhong Zheng (Allerton, 2014)

Green Traffic Compression in Wireless Sensor Networks. - Kang-Hao Peng; Kwang-Cheng Chen; Shao-Lun Huang; Shao-Chou Hung; Xinhao Cheng (VTC Spring, 2014)

An efficient algorithm for information decomposition and extraction. - Anuran Makur; Fabian Kozynski; Shao-Lun Huang; Lizhong Zheng (Allerton, 2015)

Information cascades in social networks via dynamic system analyses. - Shao-Lun Huang; Kwang-Cheng Chen (ICC, 2015)

On locally decodable source coding. - Ali Makhdoumi; Shao-Lun Huang; Muriel Médard; Yury Polyanskiy (ICC, 2015)

A spectrum decomposition to the feature spaces and the application to big data analytics. - Shao-Lun Huang; Lizhong Zheng (ISIT, 2015)

Communication Theoretic Data Analytics. - Kwang-Cheng Chen; Shao-Lun Huang; Lizhong Zheng; H. Vincent Poor (IEEE J. Sel. Areas Commun., 2015)

Euclidean Information Theory of Networks. - Shao-Lun Huang; Changho Suh; Lizhong Zheng (IEEE Trans. Inf. Theory, 2015)

Extracting sparse data via histogram queries. - I-Hsiang Wang; Shao-Lun Huang; Kuan-Yun Lee (Allerton, 2016)

Communication theoretic inference on heterogeneous data. - Kwang-Cheng Chen; Baturalp Mankir; Shao-Lun Huang; Lizhong Zheng; H. Vincent Poor (ICC, 2016)

Data extraction via histogram and arithmetic mean queries: Fundamental limits and algorithms. - I-Hsiang Wang; Shao-Lun Huang; Kuan-Yun Lee; Kwang-Cheng Chen (ISIT, 2016)

Analysis and evaluation of driving behavior recognition based on a 3-axis accelerometer using a random forest approach: poster abstract. - Wangjing Cao; Xin Lin; Kai Zhang 012; Yuhan Dong; Shao-Lun Huang; Lin Zhang 001 (IPSN, 2017)

Zoning by mobility: evaluating city administrative regions by taxi data: poster abstract. - Liandong Zhou; Shao-Lun Huang; Lin Zhang 001 (IPSN, 2017)

An information-theoretic approach to universal feature selection in high-dimensional inference. - Shao-Lun Huang; Anuran Makur; Lizhong Zheng; Gregory W. Wornell (ISIT, 2017)

An information-theoretic approach to unsupervised feature selection for high-dimensional data. - Shao-Lun Huang; Lin Zhang 001; Lizhong Zheng (ITW, 2017)

The Geometric Structure of Generalized Softmax Learning. - Xiangxiang Xu 001; Shao-Lun Huang; Lizhong Zheng; Lin Zhang 001 (ITW, 2018)

Gaussian Universal Features, Canonical Correlations, and Common Information. - Shao-Lun Huang; Gregory W. Wornell; Lizhong Zheng (ITW, 2018)

Joint Mobility Pattern Mining with Urban Region Partitions. - Jing Lian 003; Yang Li 104; Weixi Gu; Shao-Lun Huang; Lin Zhang 001 (MobiQuitous, 2018)

Attention-based LSTM-CNNs For Time-series Classification. - Qianjin Du; Weixi Gu; Lin Zhang 001; Shao-Lun Huang (SenSys, 2018)

Speech Emotion Recognition via Attention-based DNN from Multi-Task Learning. - Fei Ma 006; Weixi Gu; Wei Zhang; Shiguang Ni; Shao-Lun Huang; Lin Zhang 001 (SenSys, 2018)

Multimodal Emotion Recognition by extracting common and modality-specific information. - Wei Zhang; Weixi Gu; Fei Ma 006; Shiguang Ni; Lin Zhang 001; Shao-Lun Huang (SenSys, 2018)

A Spectral Reconstruction Algorithm of Miniature Spectrometer Based on Sparse Optimization and Dictionary Learning. - Shang Zhang; Yuhan Dong; Hongyan Fu 001; Shao-Lun Huang; Lin Zhang 001 (Sensors, 2018)

An Efficient Approach to Informative Feature Extraction from Multimodal Data. - Lichen Wang; Jiaxiang Wu 001; Shao-Lun Huang; Lizhong Zheng; Xiangxiang Xu 001; Lin Zhang 001; Junzhou Huang (AAAI, 2019)

On the Asymptotic Sample Complexity of HGR Maximal Correlation Functions in Semi-supervised Learning. - Xiangxiang Xu 001; Shao-Lun Huang (Allerton, 2019)

An Information-Theoretic Approach to Transferability in Task Transfer Learning. - Yajie Bao; Yang Li 104; Shao-Lun Huang; Lin Zhang 001; Lizhong Zheng; Amir Zamir; Leonidas J. Guibas (ICIP, 2019)

Maximal Correlation Embedding Network for Multilabel Learning with Missing Labels. - Lu Li; Yang Li 104; Xiangxiang Xu 001; Shao-Lun Huang; Lin Zhang 001 (ICME, 2019)

An End-to-End Learning Approach for Multimodal Emotion Recognition: Extracting Common and Private Information. - Fei Ma 006; Wei Zhang; Yang Li 104; Shao-Lun Huang; Lin Zhang 001 (ICME, 2019)

Info-Detection: An Information-Theoretic Approach to Detect Outlier. - Feng Zhao; Fei Ma 006; Yang Li 104; Shao-Lun Huang; Lin Zhang 001 (ICONIP (5), 2019)

Unsupervised anomaly detection via generative adversarial networks: poster abstract. - Hanling Wang; Mingyang Li; Fei Ma 006; Shao-Lun Huang; Lin Zhang 001 (IPSN, 2019)

On the Robustness of Noisy ACE Algorithm and Multi-Layer Residual Learning. - Shao-Lun Huang; Xiangxiang Xu 001 (ISIT, 2019)

Mining Mobility Patterns with Trip-Based Traffic Analysis Zones: A Deep Feature Embedding Approach. - Jing Lian 003; Yang Li 104; Shao-Lun Huang; Lin Zhang 001 (ITSC, 2019)

On The Sample Complexity of HGR Maximal Correlation Functions. - Shao-Lun Huang; Xiangxiang Xu 001 (ITW, 2019)

Anomaly detection in surface mount technology process using multi-modal data: poster abstract. - Mingyang Li; Hanling Wang; Yue Zhang 044; Shao-Lun Huang; Lin Zhang 001 (SenSys, 2019)

Less Is Better: Unweighted Data Subsampling via Influence Function. - Zifeng Wang 008; Hong Zhu 003; Zhenhua Dong; Xiuqiang He 001; Shao-Lun Huang (AAAI, 2020)

Semantically Supervised Maximal Correlation For Cross-Modal Retrieval. - Mingyang Li; Yang Li 104; Shao-Lun Huang; Lin Zhang 001 (ICIP, 2020)

Person Recognition with HGR Maximal Correlation on Multimodal Data. - Yihua Liang; Fei Ma 006; Yang Li 104; Shao-Lun Huang (ICPR, 2020)

On the Sample Complexity of Estimating Small Singular Modes. - Xiangxiang Xu 001; Weida Wang; Shao-Lun Huang (ISIT, 2020)

A Local Characterization for Wyner Common Information. - Shao-Lun Huang; Xiangxiang Xu 001; Lizhong Zheng; Gregory W. Wornell (ISIT, 2020)

Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback. - Zifeng Wang 008; Xi Chen 003; Rui Wen 001; Shao-Lun Huang; Ercan E. Kuruoglu; Yefeng Zheng 001 (NeurIPS, 2020)

Reproducing Scientific Experiment with Cloud DevOps. - Feng Zhao; Xingzhi Niu; Shao-Lun Huang; Lin Zhang 001 (SERVICES, 2020)

Maximal Correlation Regression. - Xiangxiang Xu 001; Shao-Lun Huang (IEEE Access, 2020)

On the Optimal Tradeoff Between Computational Efficiency and Generalizability of Oja's Algorithm. - Xiangxiang Xu 001; Shao-Lun Huang (IEEE Access, 2020)

Interpretable Real-Time Win Prediction for Honor of Kings, a Popular Mobile MOBA Esport. - Zelong Yang 002; Zhufeng Pan; Yan Wang 060; Deng Cai 002; Shuming Shi 001; Shao-Lun Huang; Xiaojiang Liu (CoRR, 2020)

Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks. - Zifeng Wang 008; Rui Wen 001; Xi Chen 003; Shilei Cao 001; Shao-Lun Huang; Buyue Qian; Yefeng Zheng 001 (CoRR, 2020)

Predicting Events in MOBA Games: Dataset, Attribution, and Evaluation. - Zelong Yang 002; Yan Wang 060; Piji Li; Shaobin Lin; Shuming Shi 001; Shao-Lun Huang (CoRR, 2020)

Triboelectric nanogenerators enabled internet of things: A survey. - Jiarong Li; Changsheng Wu; Ishara Dharmasena; Xiaoyue Ni; Zihan Wang; Haixu Shen; Shao-Lun Huang; Wenbo Ding 001 (Intell. Converged Networks, 2020)

An Information-Theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data. - Shao-Lun Huang; Xiangxiang Xu 001; Lizhong Zheng (IEEE J. Sel. Areas Inf. Theory, 2020)

Mining Regional Mobility Patterns for Urban Dynamic Analytics. - Jing Lian 003; Yang Li 104; Weixi Gu; Shao-Lun Huang; Lin Zhang 001 (Mob. Networks Appl., 2020)

OTCMR: Bridging Heterogeneity Gap with Optimal Transport for Cross-modal Retrieval. - Mingyang Li; Shao-Lun Huang; Lin Zhang 001 (CIKM, 2021)

OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations. - Yang Tan 004; Yang Li 104; Shao-Lun Huang (CVPR, 2021)

TriboGait: A deep learning enabled triboelectric gait sensor system for human activity recognition and individual identification. - Jiarong Li; Zihan Wang; Zihao Zhao; Yuchao Jin; Jihong Yin; Shao-Lun Huang; Jiyu Wang (UbiComp/ISWC Adjunct, 2021)

Semi-Supervised Multimodal Image Translation for Missing Modality Imputation. - Wangbin Sun; Fei Ma 006; Yang Li 104; Shao-Lun Huang; Shiguang Ni; Lin Zhang 001 (ICASSP, 2021)

2021 CAD Contest Problem A: Functional ECO with Behavioral Change Guidance Invited Paper. - Yen-Chun Fang; Shao-Lun Huang; Chi-An Wu; Chung-Han Chou; Chih-Jen Hsu; WoeiTzy Jong; Kei-Yong Khoo (ICCAD, 2021)

An Efficient Approach for Audio-Visual Emotion Recognition With Missing Labels And Missing Modalities. - Fei Ma 006; Shao-Lun Huang; Lin Zhang 001 (ICME, 2021)

Dual Feature Distributional Regularization for Defending Against Adversarial Attacks. - Mingyang Li; Xiangxiang Xu 001; Shao-Lun Huang; Lin Zhang 001 (ICONIP (6), 2021)

Enhancing Neural Network Based Hybrid Learning with Empirical Wavelet Transform for Time Series Forecasting. - Bunchalit Eua-Arporn; Shao-Lun Huang; Ercan Engin Kuruoglu (ICTAI, 2021)

Live Gradient Compensation for Evading Stragglers in Distributed Learning. - Jian Xu 016; Shao-Lun Huang; Linqi Song; Tian Lan 001 (INFOCOM, 2021)

An Information Theoretic Framework for Distributed Learning Algorithms. - Xiangxiang Xu 001; Shao-Lun Huang (ISIT, 2021)

Exact Recovery in the Balanced Stochastic Block Model with Side Information. - Jin Sima; Feng Zhao; Shao-Lun Huang (ITW, 2021)

On Distributed Hypothesis Testing with Constant-Bit Communication Constraints. - Xiangxiang Xu 001; Shao-Lun Huang (ITW, 2021)

On the Optimal Error Rate of Stochastic Block Model with Symmetric Side Information. - Feng Zhao; Jin Sima; Shao-Lun Huang (ITW, 2021)

DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning. - Guangfeng Yan; Shao-Lun Huang; Tian Lan 001; Linqi Song (MASS, 2021)

A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning. - Xinyi Tong 002; Xiangxiang Xu 001; Shao-Lun Huang; Lizhong Zheng (NeurIPS, 2021)

Lifelong Learning Based Disease Diagnosis on Clinical Notes. - Zifeng Wang 008; Yifan Yang 006; Rui Wen 001; Xi Chen 003; Shao-Lun Huang; Yefeng Zheng 001 (PAKDD (1), 2021)

A Semi-supervised Learning Approach for Visual Question Answering based on Maximal Correlation. - Sikai Yin; Fei Ma 006; Shao-Lun Huang (SMC, 2021)

Online Disease Diagnosis with Inductive Heterogeneous Graph Convolutional Networks. - Zifeng Wang 008; Rui Wen 001; Xi Chen 003; Shilei Cao 001; Shao-Lun Huang; Buyue Qian; Yefeng Zheng 001 (WWW, 2021)

Practical Transferability Estimation for Image Classification Tasks. - Yang Tan 004; Yang Li 104; Shao-Lun Huang (CoRR, 2021)

DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning. - Guangfeng Yan; Shao-Lun Huang; Tian Lan; Linqi Song (CoRR, 2021)

Maximum Likelihood Estimation for Multimodal Learning with Missing Modality. - Fei Ma 006; Xiangxiang Xu 001; Shao-Lun Huang; Lin Zhang 001 (CoRR, 2021)

SignGuard: Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering. - Jian Xu 016; Shao-Lun Huang; Linqi Song; Tian Lan 001 (CoRR, 2021)

Transferability Estimation for Semantic Segmentation Task. - Yang Tan 004; Yang Li 104; Shao-Lun Huang (CoRR, 2021)

Exact Recovery of Stochastic Block Model by Ising Model. - Feng Zhao; Min Ye; Shao-Lun Huang (Entropy, 2021)

On the Sample Complexity of HGR Maximal Correlation Functions for Large Datasets. - Shao-Lun Huang; Xiangxiang Xu 001 (IEEE Trans. Inf. Theory, 2021)

Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. - Runpeng Yu 001; Hong Zhu 003; Kaican Li; Lanqing Hong; Rui Zhang 003; Nanyang Ye 001; Shao-Lun Huang; Xiuqiang He 001 (AAAI, 2022)

On Sample Complexity of Learning Shared Representations: The Asymptotic Regime. - Xinyi Tong 002; Xiangxiang Xu 001; Shao-Lun Huang (Allerton, 2022)

Finding Influential Instances for Distantly Supervised Relation Extraction. - Zifeng Wang 008; Rui Wen 001; Xi Chen 003; Shao-Lun Huang; Ningyu Zhang 001; Yefeng Zheng 001 (COLING, 2022)

A General Framework For Incomplete Cross-Modal Retrieval With Missing Labels And Missing Modalities. - Mingyang Li; Shao-Lun Huang; Lin Zhang 001 (ICASSP, 2022)

Byzantine-Resilient Decentralized Collaborative Learning. - Jian Xu 016; Shao-Lun Huang (ICASSP, 2022)

Communication-Efficient and Byzantine-Robust Distributed Stochastic Learning with Arbitrary Number of Corrupted Workers. - Jian Xu 016; Xinyi Tong 002; Shao-Lun Huang (ICC, 2022)

Multi-source Transfer Learning for Signal Detection over a Fading Channel with Co-channel Interference. - Ziyan Zheng; Xinyi Tong 002; Xinchun Yu; Xiangxiang Xu 001; Shao-Lun Huang (ICC, 2022)

Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering. - Jian Xu 016; Shao-Lun Huang; Linqi Song; Tian Lan 001 (ICDCS, 2022)

PAC-Bayes Information Bottleneck. - Zifeng Wang 008; Shao-Lun Huang; Ercan Engin Kuruoglu; Jimeng Sun 001; Xi Chen 003; Yefeng Zheng 001 (ICLR, 2022)

FedPer++: Toward Improved Personalized Federated Learning on Heterogeneous and Imbalanced Data. - Jian Xu 016; Yi Yan; Shao-Lun Huang (IJCNN, 2022)

A Mathematical Framework to Characterize the Dependency Structures in Multimodal Learning with Minimax Principle. - Tianren Peng; Weida Wang; Shao-Lun Huang (ISIT, 2022)

Communicating Type Classes Through Channels: An Information Geometric View. - Shao-Lun Huang (ITW, 2022)

An Information-theoretic Method for Collaborative Distributed Learning with Limited Communication. - Xinyi Tong 002; Jian Xu 016; Shao-Lun Huang (ITW, 2022)

Revisiting Sparse Convolutional Model for Visual Recognition. - Xili Dai; Mingyang Li; Pengyuan Zhai; Shengbang Tong; Xingjian Gao; Shao-Lun Huang; Zhihui Zhu; Chong You; Yi Ma 001 (NeurIPS, 2022)

Deep semantic segmentation for visual understanding on construction sites. - Zifeng Wang 008; Yuyang Zhang; Khalid M. Mosalam; Yuqing Gao; Shao-Lun Huang (Comput. Aided Civ. Infrastructure Eng., 2022)

Transferability-Guided Cross-Domain Cross-Task Transfer Learning. - Yang Tan 004; Yang Li 104; Shao-Lun Huang; Xiao-Ping Zhang 003 (CoRR, 2022)

An Information Theoretic Interpretation to Deep Neural Networks. - Xiangxiang Xu 001; Shao-Lun Huang; Lizhong Zheng; Gregory W. Wornell (Entropy, 2022)

AC-SGD: Adaptively Compressed SGD for Communication-Efficient Distributed Learning. - Guangfeng Yan; Tan Li 002; Shao-Lun Huang; Tian Lan 001; Linqi Song (IEEE J. Sel. Areas Commun., 2022)

On Distributed Learning With Constant Communication Bits. - Xiangxiang Xu 001; Shao-Lun Huang (IEEE J. Sel. Areas Inf. Theory, 2022)

Interpretable Real-Time Win Prediction for Honor of Kings - A Popular Mobile MOBA Esport. - Zelong Yang 002; Zhufeng Pan; Yan Wang 060; Deng Cai 002; Shuming Shi 001; Shao-Lun Huang; Wei Bi; Xiaojiang Liu (IEEE Trans. Games, 2022)

MultiEMO: An Attention-Based Correlation-Aware Multimodal Fusion Framework for Emotion Recognition in Conversations. - Tao Shi; Shao-Lun Huang (ACL (1), 2023)

Optimal Error Exponent of Type-Based Distributed Hypothesis Testing over AWGN Channels. - Xinyi Tong 002; Shao-Lun Huang (Allerton, 2023)

Robust Transfer Learning Based on Minimax Principle. - Xinyi Tong 002; Xiangxiang Xu 001; Shao-Lun Huang; Lizhong Zheng (Allerton, 2023)

A Joint Training-Calibration Framework for Test-Time Personalization with Label Shift in Federated Learning. - Jian Xu 016; Shao-Lun Huang (CIKM, 2023)

Robust Deep Joint Source Channel Coding with Time-Varying Noise. - Weida Wang; Xinchun Yu; Xinyi Tong 002; Runpeng Yu; Xiao-Ping Zhang; Shao-Lun Huang (GLOBECOM, 2023)

RCA-NOC: Relative Contrastive Alignment for Novel Object Captioning. - Jiashuo Fan; Yaoyuan Liang; Leyao Liu; Shao-Lun Huang; Lei Zhang (ICCV, 2023)

Personalized Federated Learning with Feature Alignment and Classifier Collaboration. - Jian Xu 016; Xinyi Tong 002; Shao-Lun Huang (ICLR, 2023)

Mitigating Model Poisoning Attacks on Distributed Learning with Heterogeneous Data. - Jian Xu 016; Guangfeng Yan; Ziyan Zheng; Shao-Lun Huang (ICMLA, 2023)

An Information Theoretic Approach for Collaborative Distributed Parameter Estimation. - Xinyi Tong 002; Tianren Peng; Shao-Lun Huang (ISIT, 2023)

LUNA: Language as Continuing Anchors for Referring Expression Comprehension. - Yaoyuan Liang; Zhao Yang 002; Yansong Tang; Jiashuo Fan; Ziran Li; Jingang Wang; Philip H. S. Torr; Shao-Lun Huang (ACM Multimedia, 2023)

Stabilizing and Improving Federated Learning with Non-IID Data and Client Dropout. - Jian Xu 016; Meiling Yang; Wenbo Ding 001; Shao-Lun Huang (CoRR, 2023)

The First and Second Order Asymptotics of Covert Communication over AWGN Channels. - Xinchun Yu; Shuangqing Wei; Shao-Lun Huang; Xiao-Ping Zhang 003 (CoRR, 2023)

SSLCL: An Efficient Model-Agnostic Supervised Contrastive Learning Framework for Emotion Recognition in Conversations. - Tao Shi; Xiao Liang; Yaoyuan Liang; Xinyi Tong 002; Shao-Lun Huang (CoRR, 2023)

Exploring Iterative Refinement with Diffusion Models for Video Grounding. - Xiao Liang; Tao Shi; Yaoyuan Liang; Te Tao; Shao-Lun Huang (CoRR, 2023)

RCA-NOC: Relative Contrastive Alignment for Novel Object Captioning. - Jiashuo Fan; Yaoyuan Liang; Leyao Liu; Shao-Lun Huang; Lei Zhang 001 (CoRR, 2023)

Predicting Events in MOBA Games: Prediction, Attribution, and Evaluation. - Zelong Yang 002; Yan Wang 060; Piji Li; Shaobin Lin; Shuming Shi 001; Shao-Lun Huang; Wei Bi (IEEE Trans. Games, 2023)

On the Optimal Error Exponent of Type-Based Distributed Hypothesis Testing. - Xinyi Tong 002; Xiangxiang Xu 001; Shao-Lun Huang (Entropy, 2023)

Special issue on non-deterministic machine learning. - Shao-Lun Huang; Emilie Chouzenoux; Simon J. Godsill; Tie Liu; Linqi Song; Lei Zhang (J. Frankl. Inst., 2023)

CoSTA: End-to-End Comprehensive Space-Time Entanglement for Spatio-Temporal Video Grounding. - Yaoyuan Liang; Xiao Liang; Yansong Tang; Zhao Yang 002; Ziran Li; Jingang Wang; Wenbo Ding; Shao-Lun Huang (AAAI, 2024)

Task Oriented In-Domain Data Augmentation. - Xiao Liang; Xinyu Hu; Simiao Zuo; Yeyun Gong; Qiang Lou; Yi Liu; Shao-Lun Huang; Jian Jiao (EMNLP, 2024)

Enhancing VLC Vehicle Networks in Channel Estimation, Coding, and Multiple Access. - Yuan Xinjie; Jiaojiao Wang; Rui Chan; Zhenyu Liu; Jian Song 004; Shao-Lun Huang; Xun Guan (GLOBECOM (Workshops), 2024)

NAC: Mitigating Noisy Correspondence in Cross-Modal Matching Via Neighbor Auxiliary Corrector. - Yuqing Li; Haoming Huang; Jian Xu 016; Shao-Lun Huang (ICASSP, 2024)

On the Second Order Asymptotics of Covert Communications over AWGN Channels. - Xinchun Yu; Shuangqing Wei; Shao-Lun Huang; Xiao-Ping Zhang 003 (ICC, 2024)

AdaForensics: Learning A Characteristic-aware Adaptive Deepfake Detector. - Xiaoke Yang; Haixu Song; Xiangyu Lu; Shao-Lun Huang; Yueqi Duan (ICME, 2024)

Second-Order Characterization of Minimax Parameter Estimation in Restricted Parameter Space. - Tianren Peng; Xinyi Tong 002; Shao-Lun Huang (ISIT, 2024)

On the Asymptotic HGR Maximal Correlation of Gaussian Markov Chain. - Tianren Peng; Xinyi Tong 002; Shao-Lun Huang (ITW, 2024)

The Second-Order Perspectives of Minimax Parameter Estimation in Restricted Space with Weighted Squared Error Loss. - Tianren Peng; Xinyi Tong 002; Shao-Lun Huang (ITW, 2024)

A Non-asymptotic Framework for Characterizing Dependency Structures in Multimodal Learning. - Weida Wang; Tao Shi; Yaoyuan Liang; Xinyi Tong 002; Shao-Lun Huang (ITW, 2024)

Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation. - Yaoyuan Liang; Zhuojun Cai; Jian Xu; Guanbo Huang; Yiran Wang; Xiao Liang; Jiahao Liu; Ziran Li; Jingang Wang; Shao-Lun Huang (NeurIPS, 2024)

Bounds on f-Divergences between Distributions within Generalized Quasi-ε-Neighborhood. - Xinchun Yu; Shuangqing Wei; Shao-Lun Huang; Xiao-Ping Zhang (CoRR, 2024)

Task Oriented In-Domain Data Augmentation. - Xiao Liang; Xinyu Hu; Simiao Zuo; Yeyun Gong; Qiang Lou; Yi Liu; Shao-Lun Huang; Jian Jiao 007 (CoRR, 2024)

PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting. - Yanlong Wang; Jian Xu 016; Fei Ma; Shao-Lun Huang; Danny Dongning Sun; Xiao-Ping Zhang (CoRR, 2024)

Universal Features for High-Dimensional Learning and Inference. - Shao-Lun Huang; Anuran Makur; Gregory W. Wornell; Lizhong Zheng (Found. Trends Commun. Inf. Theory, 2024)

On the rate-distortion-perception-semantics tradeoff in low-rate regime for lossy compression. - Weida Wang; Xinyi Tong 002; Xinchun Yu; Shao-Lun Huang (J. Frankl. Inst., 2024)

On the Fundamental Limit of Distributed Learning With Interchangable Constrained Statistics. - Xinyi Tong 002; Jian Xu 016; Shao-Lun Huang (IEEE J. Sel. Areas Inf. Theory, 2024)

MHFNet: An Improved HGR Multimodal Network for Informative Correlation Fusion in Remote Sensing Image Classification. - Hongkang Zhang; Shao-Lun Huang; Ercan Engin Kuruoglu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

HGR Correlation Pooling Fusion Framework for Recognition and Classification in Multimodal Remote Sensing Data. - Hongkang Zhang; Shao-Lun Huang; Ercan Engin Kuruoglu (Remote. Sens., 2024)

White-box Error Correction Code Transformer. - Ziyan Zheng; Chin Wa Lau; Nian Guo; Xiang Shi; Shao-Lun Huang (CPAL, 2025)

Efficient Global Attention and Correlation-Aware Fusion for Hyperspectral Image Classification. - Hongkang Zhang; Shao-Lun Huang; Ercan Engin Kuruoglu (ICASSP, 2025)

Improved fuzzy C-means clustering algorithm based on fuzzy particle swarm optimization for solving data clustering problems. - Hongkang Zhang; Shao-Lun Huang (Math. Comput. Simul., 2025)

Generalizing to Unseen Domains With Wasserstein Distributional Robustness Under Limited Source Knowledge. - Jingge Wang; Liyan Xie; Yao Xie 002; Shao-Lun Huang; Yang Li 104 (IEEE J. Sel. Top. Signal Process., 2025)

Cooperative Multi-Model Training for Personalized Federated Learning Over Heterogeneous Devices. - Jian Xu 016; Shuo Wan; Yinchuan Li; Sichun Luo; Zhilin Chen; Yunfeng Shao 001; Zhitang Chen; Shao-Lun Huang; Linqi Song (IEEE J. Sel. Top. Signal Process., 2025)

Stabilizing and improving federated learning with highly non-iid data and client dropout. - Jian Xu 016; Meilin Yang; Wenbo Ding 001; Shao-Lun Huang (Appl. Intell., 2025)

A Theoretical Framework for Data Efficient Multi-Source Transfer Learning Based on Cramér-Rao Bound. - Qingyue Zhang; Haohao Fu; Guanbo Huang; Yaoyuan Liang; Chang Chu; Tianren Peng; Yanru Wu; Qi Li; Yang Li; Shao-Lun Huang (CoRR, 2025)

Transferability-Guided Cross-Domain Cross-Task Transfer Learning. - Yang Tan 004; Enming Zhang; Yang Li 104; Shao-Lun Huang; Xiao-Ping Zhang 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)

FinTSBridge: A New Evaluation Suite for Real-world Financial Prediction with Advanced Time Series Models. - Yanlong Wang; Jian Xu; Tiantian Gao; Hongkang Zhang; Shao-Lun Huang; Danny Dongning Sun; Xiao-Ping Zhang (CoRR, 2025)

Assessing Uncertainty in Stock Returns: A Gaussian Mixture Distribution-Based Method. - Yanlong Wang; Jian Xu; Shao-Lun Huang; Danny Dongning Sun; Xiao-Ping Zhang (CoRR, 2025)

CanonSwap: High-Fidelity and Consistent Video Face Swapping via Canonical Space Modulation. - Xiangyang Luo; Ye Zhu; Yunfei Liu; Lijian Lin; Cong Wan; Zijian Cai; Shao-Lun Huang; Yu Li (CoRR, 2025)