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Transferability Estimation for Semantic Segmentation Task


Oct 11, 2021
Yang Tan, Yang Li, Shao-Lun Huang

* It is a very early draft before the formal paper, so there may exist many typos or descriptions needing to be further improved. We will keep updating this manuscript 

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PAC-Bayes Information Bottleneck


Oct 04, 2021
Zifeng Wang, Shao-Lun Huang, Ercan E. Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng


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On Distributed Learning with Constant Communication Bits


Sep 14, 2021
Xiangxiang Xu, Shao-Lun Huang

* Submitted to JSAIT 

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SignGuard: Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering


Sep 13, 2021
Jian Xu, Shao-Lun Huang, Linqi Song, Tian Lan


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Maximum Likelihood Estimation for Multimodal Learning with Missing Modality


Aug 24, 2021
Fei Ma, Xiangxiang Xu, Shao-Lun Huang, Lin Zhang


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DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning


Jul 30, 2021
Guangfeng Yan, Shao-Lun Huang, Tian Lan, Linqi Song

* 10 pages, 7 figures 

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Practical Transferability Estimation for Image Classification Tasks


Jun 30, 2021
Yang Tan, Yang Li, Shao-Lun Huang

* 12 pages 

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OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations


Mar 25, 2021
Yang Tan, Yang Li, Shao-Lun Huang

* 13 pages, accepted by CVPR2021 

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Lifelong Learning based Disease Diagnosis on Clinical Notes


Mar 05, 2021
Zifeng Wang, Yifan Yang, Rui Wen, Xi Chen, Shao-Lun Huang, Yefeng Zheng

* Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'21) 

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Predicting Events in MOBA Games: Dataset, Attribution, and Evaluation


Dec 24, 2020
Zelong Yang, Yan Wang, Piji Li, Shaobin Lin, Shuming Shi, Shao-Lun Huang


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Predicting Events In MOBA Games: Dataset, Attribution, and Evaluation


Dec 17, 2020
Zelong Yang, Yan Wang, Piji Li, Shaobin Lin, Shuming Shi, Shao-Lun Huang


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Finding Influential Instances for Distantly Supervised Relation Extraction


Sep 17, 2020
Zifeng Wang, Rui Wen, Xi Chen, Shao-Lun Huang, Ningyu Zhang, Yefeng Zheng


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Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks


Sep 06, 2020
Zifeng Wang, Rui Wen, Xi Chen, Shilei Cao, Shao-Lun Huang, Buyue Qian, Yefeng Zheng


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


Sep 06, 2020
Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang, Ercan E. Kuruoglu, Yefeng Zheng


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Interpretable Real-Time Win Prediction for Honor of Kings, a Popular Mobile MOBA Esport


Sep 04, 2020
Zelong Yang, Zhufeng Pan, Yan Wang, Deng Cai, Shuming Shi, Shao-Lun Huang, Xiaojiang Liu

* 8 pages, 6 figures 

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On the Fairness of Randomized Trials for Recommendation with Heterogeneous Demographics and Beyond


Feb 05, 2020
Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang


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On the Fairness of Randomized Trials for Recommendation With Heterogeneous Demographics and Beyond


Jan 25, 2020
Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang


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Less Is Better: Unweighted Data Subsampling via Influence Function


Dec 03, 2019
Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang


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On Universal Features for High-Dimensional Learning and Inference


Nov 20, 2019
Shao-Lun Huang, Anuran Makur, Gregory W. Wornell, Lizhong Zheng


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


Oct 08, 2019
Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng

* 35 pages; Submitted to IEEE Journal on Selected Areas in Information Theory (JSAIT) 

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An Information Theoretic Interpretation to Deep Neural Networks


May 16, 2019
Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng, Gregory W. Wornell

* Accepted to ISIT 2019 

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An Efficient Approach to Informative Feature Extraction from Multimodal Data


Nov 22, 2018
Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang

* Accepted to AAAI 2019 

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