Shao-Lun Huang

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 132

Top Venues

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Hongkang Zhang, Shao-Lun Huang, Ercan Engin Kuruoglu
HGR Correlation Pooling Fusion Framework for Recognition and Classification in Multimodal Remote Sensing Data. Remote. Sens. 16 (10) (2024)
Yaoyuan Liang, Xiao Liang, Yansong Tang, Zhao Yang, Ziran Li, Jingang Wang, Wenbo Ding, Shao-Lun Huang
CoSTA: End-to-End Comprehensive Space-Time Entanglement for Spatio-Temporal Video Grounding. AAAI (2024)
Weida Wang, Xinyi Tong, Xinchun Yu, Shao-Lun Huang
On the rate-distortion-perception-semantics tradeoff in low-rate regime for lossy compression. J. Frankl. Inst. 361 (11) (2024)
Xiao Liang, Xinyu Hu, Simiao Zuo, Yeyun Gong, Qiang Lou, Yi Liu, Shao-Lun Huang, Jian Jiao
Task Oriented In-Domain Data Augmentation. CoRR (2024)
Xinchun Yu, Shuangqing Wei, Shao-Lun Huang, Xiao-Ping Zhang
Bounds on f-Divergences between Distributions within Generalized Quasi-ε-Neighborhood. CoRR (2024)
Shao-Lun Huang, Anuran Makur, Gregory W. Wornell, Lizhong Zheng
Universal Features for High-Dimensional Learning and Inference. Found. Trends Commun. Inf. Theory 21 (1-2) (2024)
Xinyi Tong, Jian Xu, Shao-Lun Huang
On the Fundamental Limit of Distributed Learning With Interchangable Constrained Statistics. IEEE J. Sel. Areas Inf. Theory 5 (2024)
Yuqing Li, Haoming Huang, Jian Xu, Shao-Lun Huang
NAC: Mitigating Noisy Correspondence in Cross-Modal Matching Via Neighbor Auxiliary Corrector. ICASSP (2024)
Weida Wang, Xinchun Yu, Xinyi Tong, Runpeng Yu, Xiao-Ping Zhang, Shao-Lun Huang
Robust Deep Joint Source Channel Coding with Time-Varying Noise. GLOBECOM (2023)
Xinyi Tong, Tianren Peng, Shao-Lun Huang
An Information Theoretic Approach for Collaborative Distributed Parameter Estimation. ISIT (2023)
Jian Xu, Xinyi Tong, Shao-Lun Huang
Personalized Federated Learning with Feature Alignment and Classifier Collaboration. ICLR (2023)
Tao Shi, Shao-Lun Huang
MultiEMO: An Attention-Based Correlation-Aware Multimodal Fusion Framework for Emotion Recognition in Conversations. ACL (1) (2023)
Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng
Robust Transfer Learning Based on Minimax Principle. Allerton (2023)
Jian Xu, Guangfeng Yan, Ziyan Zheng, Shao-Lun Huang
Mitigating Model Poisoning Attacks on Distributed Learning with Heterogeneous Data. ICMLA (2023)
Jiashuo Fan, Yaoyuan Liang, Leyao Liu, Shao-Lun Huang, Lei Zhang
RCA-NOC: Relative Contrastive Alignment for Novel Object Captioning. ICCV (2023)
Tao Shi, Xiao Liang, Yaoyuan Liang, Xinyi Tong, Shao-Lun Huang
SSLCL: An Efficient Model-Agnostic Supervised Contrastive Learning Framework for Emotion Recognition in Conversations. CoRR (2023)
Jian Xu, Xinyi Tong, Shao-Lun Huang
Personalized Federated Learning with Feature Alignment and Classifier Collaboration. CoRR (2023)
Jian Xu, Shao-Lun Huang
A Joint Training-Calibration Framework for Test-Time Personalization with Label Shift in Federated Learning. CIKM (2023)
Jiashuo Fan, Yaoyuan Liang, Leyao Liu, Shao-Lun Huang, Lei Zhang
RCA-NOC: Relative Contrastive Alignment for Novel Object Captioning. CoRR (2023)
Xiao Liang, Tao Shi, Yaoyuan Liang, Te Tao, Shao-Lun Huang
Exploring Iterative Refinement with Diffusion Models for Video Grounding. CoRR (2023)
Jian Xu, Meiling Yang, Wenbo Ding, Shao-Lun Huang
Stabilizing and Improving Federated Learning with Non-IID Data and Client Dropout in IoT Systems. CoRR (2023)
Xinchun Yu, Shuangqing Wei, Shao-Lun Huang, Xiao-Ping Zhang
The First and Second Order Asymptotics of Covert Communication over AWGN Channels. CoRR (2023)
Zelong Yang, Yan Wang, Piji Li, Shaobin Lin, Shuming Shi, Shao-Lun Huang, Wei Bi
Predicting Events in MOBA Games: Prediction, Attribution, and Evaluation. IEEE Trans. Games 15 (2) (2023)
Shao-Lun Huang, Émilie Chouzenoux, Simon J. Godsill, Tie Liu, Linqi Song, Lei Zhang
Special issue on non-deterministic machine learning. J. Frankl. Inst. 360 (17) (2023)
Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang
On the Optimal Error Exponent of Type-Based Distributed Hypothesis Testing. Entropy 25 (10) (2023)
Xinyi Tong, Shao-Lun Huang
Optimal Error Exponent of Type-Based Distributed Hypothesis Testing over AWGN Channels. Allerton (2023)
Yaoyuan Liang, Zhao Yang, Yansong Tang, Jiashuo Fan, Ziran Li, Jingang Wang, Philip H. S. Torr, Shao-Lun Huang
LUNA: Language as Continuing Anchors for Referring Expression Comprehension. ACM Multimedia (2023)
Ziyan Zheng, Xinyi Tong, Xinchun Yu, Xiangxiang Xu, Shao-Lun Huang
Multi-source Transfer Learning for Signal Detection over a Fading Channel with Co-channel Interference. ICC (2022)
Tianren Peng, Weida Wang, Shao-Lun Huang
A Mathematical Framework to Characterize the Dependency Structures in Multimodal Learning with Minimax Principle. ISIT (2022)
Guangfeng Yan, Tan Li, Shao-Lun Huang, Tian Lan, Linqi Song
AC-SGD: Adaptively Compressed SGD for Communication-Efficient Distributed Learning. IEEE J. Sel. Areas Commun. 40 (9) (2022)
Xiangxiang Xu, Shao-Lun Huang
On Distributed Learning With Constant Communication Bits. IEEE J. Sel. Areas Inf. Theory 3 (1) (2022)
Jian Xu, Yi Yan, Shao-Lun Huang
FedPer++: Toward Improved Personalized Federated Learning on Heterogeneous and Imbalanced Data. IJCNN (2022)
Zifeng Wang, Shao-Lun Huang, Ercan Engin Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng
PAC-Bayes Information Bottleneck. ICLR (2022)
Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. AAAI (2022)
Mingyang Li, Shao-Lun Huang, Lin Zhang
A General Framework For Incomplete Cross-Modal Retrieval With Missing Labels And Missing Modalities. ICASSP (2022)
Jian Xu, Xinyi Tong, Shao-Lun Huang
Communication-Efficient and Byzantine-Robust Distributed Stochastic Learning with Arbitrary Number of Corrupted Workers. ICC (2022)
Zifeng Wang, Rui Wen, Xi Chen, Shao-Lun Huang, Ningyu Zhang, Yefeng Zheng
Finding Influential Instances for Distantly Supervised Relation Extraction. COLING (2022)
Xili Dai, Mingyang Li, Pengyuan Zhai, Shengbang Tong, Xingjian Gao, Shao-Lun Huang, Zhihui Zhu, Chong You, Yi Ma
Revisiting Sparse Convolutional Model for Visual Recognition. NeurIPS (2022)
Jian Xu, Shao-Lun Huang
Byzantine-Resilient Decentralized Collaborative Learning. ICASSP (2022)
Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. CoRR (2022)
Yang Tan, Yang Li, Shao-Lun Huang, Xiao-Ping Zhang
Transferability-Guided Cross-Domain Cross-Task Transfer Learning. CoRR (2022)
Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang
On Sample Complexity of Learning Shared Representations: The Asymptotic Regime. Allerton (2022)
Zelong Yang, Zhu Feng Pan, Yan Wang, Deng Cai, Shuming Shi, Shao-Lun Huang, Wei Bi, Xiaojiang Liu
Interpretable Real-Time Win Prediction for Honor of Kings - A Popular Mobile MOBA Esport. IEEE Trans. Games 14 (4) (2022)
Jian Xu, Shao-Lun Huang, Linqi Song, Tian Lan
Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering. ICDCS (2022)
Zifeng Wang, Yuyang Zhang, Khalid M. Mosalam, Yuqing Gao, Shao-Lun Huang
Deep semantic segmentation for visual understanding on construction sites. Comput. Aided Civ. Infrastructure Eng. 37 (2) (2022)
Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng, Gregory W. Wornell
An Information Theoretic Interpretation to Deep Neural Networks. Entropy 24 (1) (2022)
Xinyi Tong, Jian Xu, Shao-Lun Huang
An Information-theoretic Method for Collaborative Distributed Learning with Limited Communication. ITW (2022)
Xili Dai, Mingyang Li, Pengyuan Zhai, Shengbang Tong, Xingjian Gao, Shao-Lun Huang, Zhihui Zhu, Chong You, Yi Ma
Revisiting Sparse Convolutional Model for Visual Recognition. CoRR (2022)
Yajie Bao, Yang Li, Shao-Lun Huang, Lin Zhang, Lizhong Zheng, Amir Zamir, Leonidas J. Guibas
An Information-Theoretic Approach to Transferability in Task Transfer Learning. CoRR (2022)
Shao-Lun Huang
Communicating Type Classes Through Channels: An Information Geometric View. ITW (2022)
Xinyi Tong, Jian Xu, Shao-Lun Huang
An Information-theoretic Method for Collaborative Distributed Learning with Limited Communication. CoRR (2022)
Jingge Wang, Liyan Xie, Yao Xie, Shao-Lun Huang, Yang Li
Generalizing to Unseen Domains with Wasserstein Distributional Robustness under Limited Source Knowledge. CoRR (2022)
Zifeng Wang, Yifan Yang, Rui Wen, Xi Chen, Shao-Lun Huang, Yefeng Zheng
Lifelong Learning Based Disease Diagnosis on Clinical Notes. PAKDD (1) (2021)
Yang Tan, Yang Li, Shao-Lun Huang
OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations. CVPR (2021)
Mingyang Li, Shao-Lun Huang, Lin Zhang
OTCMR: Bridging Heterogeneity Gap with Optimal Transport for Cross-modal Retrieval. CIKM (2021)
Feng Zhao, Min Ye, Shao-Lun Huang
Exact Recovery of Stochastic Block Model by Ising Model. Entropy 23 (1) (2021)
Zifeng Wang, Yifan Yang, Rui Wen, Xi Chen, Shao-Lun Huang, Yefeng Zheng
Lifelong Learning based Disease Diagnosis on Clinical Notes. CoRR (2021)
Feng Zhao, Jin Sima, Shao-Lun Huang
On the Optimal Error Rate of Stochastic Block Model with Symmetric Side Information. ITW (2021)
Yang Tan, Yang Li, Shao-Lun Huang
OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations. CoRR (2021)
Xiangxiang Xu, Shao-Lun Huang
An Information Theoretic Framework for Distributed Learning Algorithms. ISIT (2021)
Mingyang Li, Xiangxiang Xu, Shao-Lun Huang, Lin Zhang
Dual Feature Distributional Regularization for Defending Against Adversarial Attacks. ICONIP (6) (2021)
Fei Ma, Xiangxiang Xu, Shao-Lun Huang, Lin Zhang
Maximum Likelihood Estimation for Multimodal Learning with Missing Modality. CoRR (2021)
Yang Tan, Yang Li, Shao-Lun Huang
Practical Transferability Estimation for Image Classification Tasks. CoRR (2021)
Jian Xu, Shao-Lun Huang, Linqi Song, Tian Lan
SignGuard: Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering. CoRR (2021)
Jin Sima, Feng Zhao, Shao-Lun Huang
Exact Recovery in the Balanced Stochastic Block Model with Side Information. ITW (2021)
Xiangxiang Xu, Shao-Lun Huang
On Distributed Hypothesis Testing with Constant-Bit Communication Constraints. ITW (2021)
Fei Ma, Shao-Lun Huang, Lin Zhang
An Efficient Approach for Audio-Visual Emotion Recognition With Missing Labels And Missing Modalities. ICME (2021)
Wangbin Sun, Fei Ma, Yang Li, Shao-Lun Huang, Shiguang Ni, Lin Zhang
Semi-Supervised Multimodal Image Translation for Missing Modality Imputation. ICASSP (2021)
Xiangxiang Xu, Shao-Lun Huang
On Distributed Learning with Constant Communication Bits. CoRR (2021)
Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng
A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning. NeurIPS (2021)
Guangfeng Yan, Shao-Lun Huang, Tian Lan, Linqi Song
DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning. MASS (2021)
Sikai Yin, Fei Ma, Shao-Lun Huang
A Semi-supervised Learning Approach for Visual Question Answering based on Maximal Correlation. SMC (2021)
Bunchalit Eua-Arporn, Shao-Lun Huang, Ercan Engin Kuruoglu
Enhancing Neural Network Based Hybrid Learning with Empirical Wavelet Transform for Time Series Forecasting. ICTAI (2021)
Zifeng Wang, Rui Wen, Xi Chen, Shilei Cao, Shao-Lun Huang, Buyue Qian, Yefeng Zheng
Online Disease Diagnosis with Inductive Heterogeneous Graph Convolutional Networks. WWW (2021)
Jiarong Li, Zihan Wang, Zihao Zhao, Yuchao Jin, Jihong Yin, Shao-Lun Huang, Jiyu Wang
TriboGait: A deep learning enabled triboelectric gait sensor system for human activity recognition and individual identification. UbiComp/ISWC Adjunct (2021)
Yang Tan, Yang Li, Shao-Lun Huang
Transferability Estimation for Semantic Segmentation Task. CoRR (2021)
Zifeng Wang, Shao-Lun Huang, Ercan E. Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng
PAC-Bayes Information Bottleneck. CoRR (2021)
Jian Xu, Shao-Lun Huang, Linqi Song, Tian Lan
Live Gradient Compensation for Evading Stragglers in Distributed Learning. INFOCOM (2021)
Guangfeng Yan, Shao-Lun Huang, Tian Lan, Linqi Song
DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning. CoRR (2021)
Shao-Lun Huang, Xiangxiang Xu
On the Sample Complexity of HGR Maximal Correlation Functions for Large Datasets. IEEE Trans. Inf. Theory 67 (3) (2021)
Yen-Chun Fang, Shao-Lun Huang, Chi-An Wu, Chung-Han Chou, Chih-Jen Hsu, WoeiTzy Jong, Kei-Yong Khoo
2021 CAD Contest Problem A: Functional ECO with Behavioral Change Guidance Invited Paper. ICCAD (2021)
Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang
Less Is Better: Unweighted Data Subsampling via Influence Function. AAAI (2020)
Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang, Ercan E. Kuruoglu, Yefeng Zheng
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback. NeurIPS (2020)
Xiangxiang Xu, Shao-Lun Huang
On the Optimal Tradeoff Between Computational Efficiency and Generalizability of Oja's Algorithm. IEEE Access 8 (2020)
Jiarong Li, Changsheng Wu, Ishara Dharmasena, Xiaoyue Ni, Zihan Wang, Haixu Shen, Shao-Lun Huang, Wenbo Ding
Triboelectric nanogenerators enabled internet of things: A survey. Intell. Converged Networks 1 (2) (2020)
Jing Lian, Yang Li, Weixi Gu, Shao-Lun Huang, Lin Zhang
Mining Regional Mobility Patterns for Urban Dynamic Analytics. Mob. Networks Appl. 25 (2) (2020)
Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng
An Information-Theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data. IEEE J. Sel. Areas Inf. Theory 1 (1) (2020)
Xiangxiang Xu, Shao-Lun Huang
Maximal Correlation Regression. IEEE Access 8 (2020)
Mingyang Li, Yang Li, Shao-Lun Huang, Lin Zhang
Semantically Supervised Maximal Correlation For Cross-Modal Retrieval. ICIP (2020)
Zifeng Wang, Rui Wen, Xi Chen, Shilei Cao, Shao-Lun Huang, Buyue Qian, Yefeng Zheng
Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks. CoRR (2020)
Yihua Liang, Fei Ma, Yang Li, Shao-Lun Huang
Person Recognition with HGR Maximal Correlation on Multimodal Data. ICPR (2020)
Xiangxiang Xu, Weida Wang, Shao-Lun Huang
On the Sample Complexity of Estimating Small Singular Modes. ISIT (2020)
Zelong Yang, Zhu Feng Pan, Yan Wang, Deng Cai, Shuming Shi, Shao-Lun Huang, Xiaojiang Liu
Interpretable Real-Time Win Prediction for Honor of Kings, a Popular Mobile MOBA Esport. CoRR (2020)
Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang, Ercan E. Kuruoglu, Yefeng Zheng
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback. CoRR (2020)
Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng, Gregory W. Wornell
A Local Characterization for Wyner Common Information. ISIT (2020)
Feng Zhao, Xingzhi Niu, Shao-Lun Huang, Lin Zhang
Reproducing Scientific Experiment with Cloud DevOps. SERVICES (2020)
Zifeng Wang, Rui Wen, Xi Chen, Shao-Lun Huang, Ningyu Zhang, Yefeng Zheng
Finding Influential Instances for Distantly Supervised Relation Extraction. CoRR (2020)
Zelong Yang, Yan Wang, Piji Li, Shaobin Lin, Shuming Shi, Shao-Lun Huang
Predicting Events in MOBA Games: Dataset, Attribution, and Evaluation. CoRR (2020)
Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang
On the Fairness of Randomized Trials for Recommendation With Heterogeneous Demographics and Beyond. CoRR (2020)
Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang
Less Is Better: Unweighted Data Subsampling via Influence Function. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shao-Lun Huang