Shao-Lun Huang(黄绍伦)

Associate Professor

Data Science and Information Technology Research Center, Tsinghua-Berkeley Shenzhen Institute

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Awards and Honors
National Taiwan University Presidential Award, 2008.
International Mathematical Olympiad, Gold Medal (Tokyo, Japan), 2003.
International Mathematical Olympiad, Silver Medal (Glasgow, United Kingdom), 2002.

Papers60 papers

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Exact Recovery of Stochastic Block Model by Ising Model

Feng Zhao, Min Ye,Shao-Lun Huang

Entropy, no. 1 (2021): 65

WOSEIBibtex

An Information-theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data

Huang Shao-Lun,Xu Xiangxiang,Zheng Lizhong

IEEE J. Sel. Areas Inf. Theory, no. 1 (2020): 157-166

EIBibtex

Learning Better Representations for Audio-Visual Emotion Recognition with Common Information

Fei Ma,Wei Zhang,Yang Li,Shao-Lun Huang,Lin Zhang

Applied Sciences, no. 20 (2020): 7239

Bibtex

Semantically Supervised Maximal Correlation For Cross-Modal Retrieval

Mingyang Li,Yang Li,Shao-Lun Huang,Lin Zhang

ICIP, pp.2291-2295, (2020)

EIBibtex

On the Sample Complexity of Estimating Small Singular Modes

Xiangxiang Xu, Weida Wang,Shao-Lun Huang

ISIT, pp.1189-1194, (2020)

EIBibtex

A Local Characterization for Wyner Common Information

Shao-Lun Huang,Xiangxiang Xu,Lizhong Zheng,Gregory W. Wornell

ISIT, pp.2252-2257, (2020)

EIBibtex

Less Is Better: Unweighted Data Subsampling via Influence Function

Zifeng Wang, Hong Zhu, Zhenhua Dong,Xiuqiang He,Shao-Lun Huang

national conference on artificial intelligence, (2020)

Cited by1Bibtex

Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks

Zifeng Wang, Rui Wen, Xi Chen, Shilei Cao,Shao-Lun Huang,Buyue Qian,Yefeng Zheng

Bibtex

Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback

Zifeng Wang,Xi Chen,Rui Wen,Shao-Lun Huang,Ercan E. Kuruoglu,Yefeng Zheng

NIPS 2020, (2020)

EIBibtex

Maximal Correlation Regression

Xiangxiang Xu,Shao-Lun Huang

IEEE Access, (2020): 26591-26601

EIBibtex

Mining Regional Mobility Patterns for Urban Dynamic Analytics

Jing Lian, Yang Li,Weixi Gu,Shao-Lun Huang,Lin Zhang

Mobile Networks and Applications, no. 2 (2020): 459-473

Cited by1EIBibtex

The geometric structure of generalized softmax learning

Xu Xiangxiang,Huang Shao-Lun,Zheng Lizhong,Zhang Lin

2018 IEEE Information Theory Workshop, ITW 2018, (2019)

EIBibtex

Info-Detection: An Information-Theoretic Approach to Detect Outlier

Feng Zhao, Fei Ma, Yang Li,Shao-Lun Huang,Lin Zhang

ICONIP (5), pp.489-496, (2019)

EIBibtex

On The Sample Complexity of HGR Maximal Correlation Functions

Shao-Lun Huang,Xiangxiang Xu

ITW, pp.1-5, (2019)

EIBibtex

On the Asymptotic Sample Complexity of HGR Maximal Correlation Functions in Semi-supervised Learning

Xiangxiang Xu,Shao-Lun Huang

Allerton, pp.879-886, (2019)

EIBibtex

An Information-Theoretic Approach to Transferability in Task Transfer Learning

Yajie Bao, Yang Li,Shao-Lun Huang,Lin Zhang,Lizhong Zheng, Amir Zamir,Leonidas Guibas

international conference on image processing, pp.2309-2313, (2019)

Cited by1EIBibtex

On Universal Features for High-Dimensional Learning and Inference

Huang Shao-Lun, Makur Anuran,Wornell Gregory W.,Zheng Lizhong

Cited by7Bibtex

Anomaly detection in surface mount technology process using multi-modal data: poster abstract

Mingyang Li, Hanling Wang, Yue Zhang,Shao-Lun Huang,Lin Zhang

Proceedings of the 17th Conference on Embedded Networked Sensor Systems, pp.412-413, (2019)

EIBibtex

On the Robustness of Noisy ACE Algorithm and Multi-Layer Residual Learning

Shao-Lun Huang, Xiangxiang Xu

ISIT, pp.2474-2478, (2019)

EIBibtex

Maximal Correlation Embedding Network for Multilabel Learning with Missing Labels

Lu Li, Yang Li, Xiangxiang Xu,Shao-Lun Huang,Lin Zhang

ICME, pp.393-398, (2019)

EIBibtex

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Shao-Lun Huang(黄绍伦)Binding

Papers60 papers

Shao-Lun Huang(黄绍伦)