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2020 – today
- 2024
[j25]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): 1-299 (2024)- [j24]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): 106873 (2024) - [j23]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: 396-406 (2024) - [j22]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): 1708 (2024) - [j21]Hongkang Zhang, Shao-Lun Huang, Ercan Engin Kuruoglu:
MHFNet: An Improved HGR Multimodal Network for Informative Correlation Fusion in Remote Sensing Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 15052-15066 (2024) - [c94]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: 3324-3332 - [c93]Xiao Liang, Xinyu Hu, Simiao Zuo, Yeyun Gong, Qiang Lou, Yi Liu, Shao-Lun Huang, Jian Jiao:
Task Oriented In-Domain Data Augmentation. EMNLP 2024: 20889-20907 - [c92]Yuqing Li, Haoming Huang, Jian Xu, Shao-Lun Huang:
NAC: Mitigating Noisy Correspondence in Cross-Modal Matching Via Neighbor Auxiliary Corrector. ICASSP 2024: 6815-6819 - [c91]Xinchun Yu, Shuangqing Wei, Shao-Lun Huang, Xiao-Ping Zhang:
On the Second Order Asymptotics of Covert Communications over AWGN Channels. ICC 2024: 1479-1484 - [c90]Xiaoke Yang, Haixu Song, Xiangyu Lu, Shao-Lun Huang, Yueqi Duan:
AdaForensics: Learning A Characteristic-aware Adaptive Deepfake Detector. ICME 2024: 1-6 - [c89]Tianren Peng, Xinyi Tong, Shao-Lun Huang:
Second-Order Characterization of Minimax Parameter Estimation in Restricted Parameter Space. ISIT 2024: 3420-3425 - [i42]Xinchun Yu, Shuangqing Wei, Shao-Lun Huang, Xiao-Ping Zhang:
Bounds on f-Divergences between Distributions within Generalized Quasi-ε-Neighborhood. CoRR abs/2406.00939 (2024) - [i41]Xiao Liang, Xinyu Hu, Simiao Zuo, Yeyun Gong, Qiang Lou, Yi Liu, Shao-Lun Huang, Jian Jiao:
Task Oriented In-Domain Data Augmentation. CoRR abs/2406.16694 (2024) - [i40]Yanlong Wang, Jian Xu, Fei Ma, Shao-Lun Huang, Danny Dongning Sun, Xiao-Ping Zhang:
PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting. CoRR abs/2411.01419 (2024) - 2023
- [j20]Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang:
On the Optimal Error Exponent of Type-Based Distributed Hypothesis Testing. Entropy 25(10): 1434 (2023) - [j19]Shao-Lun Huang, Emilie Chouzenoux, Simon J. Godsill, Tie Liu, Linqi Song, Lei Zhang:
Special issue on non-deterministic machine learning. J. Frankl. Inst. 360(17): 12875-12877 (2023) - [j18]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): 193-201 (2023) - [c88]Tao Shi, Shao-Lun Huang:
MultiEMO: An Attention-Based Correlation-Aware Multimodal Fusion Framework for Emotion Recognition in Conversations. ACL (1) 2023: 14752-14766 - [c87]Xinyi Tong, Shao-Lun Huang:
Optimal Error Exponent of Type-Based Distributed Hypothesis Testing over AWGN Channels. Allerton 2023: 1-7 - [c86]Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng:
Robust Transfer Learning Based on Minimax Principle. Allerton 2023: 1-7 - [c85]Jian Xu, Shao-Lun Huang:
A Joint Training-Calibration Framework for Test-Time Personalization with Label Shift in Federated Learning. CIKM 2023: 4370-4374 - [c84]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: 5665-5670 - [c83]Jiashuo Fan, Yaoyuan Liang, Leyao Liu, Shao-Lun Huang, Lei Zhang:
RCA-NOC: Relative Contrastive Alignment for Novel Object Captioning. ICCV 2023: 15464-15474 - [c82]Jian Xu, Xinyi Tong, Shao-Lun Huang:
Personalized Federated Learning with Feature Alignment and Classifier Collaboration. ICLR 2023 - [c81]Jian Xu, Guangfeng Yan, Ziyan Zheng, Shao-Lun Huang:
Mitigating Model Poisoning Attacks on Distributed Learning with Heterogeneous Data. ICMLA 2023: 738-743 - [c80]Xinyi Tong, Tianren Peng, Shao-Lun Huang:
An Information Theoretic Approach for Collaborative Distributed Parameter Estimation. ISIT 2023: 1878-1883 - [c79]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: 5174-5184 - [i39]Jian Xu, Meiling Yang, Wenbo Ding, Shao-Lun Huang:
Stabilizing and Improving Federated Learning with Non-IID Data and Client Dropout. CoRR abs/2303.06314 (2023) - [i38]Xinchun Yu, Shuangqing Wei, Shao-Lun Huang, Xiao-Ping Zhang:
The First and Second Order Asymptotics of Covert Communication over AWGN Channels. CoRR abs/2305.17924 (2023) - [i37]Jian Xu, Xinyi Tong, Shao-Lun Huang:
Personalized Federated Learning with Feature Alignment and Classifier Collaboration. CoRR abs/2306.11867 (2023) - [i36]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 abs/2310.16676 (2023) - [i35]Xiao Liang, Tao Shi, Yaoyuan Liang, Te Tao, Shao-Lun Huang:
Exploring Iterative Refinement with Diffusion Models for Video Grounding. CoRR abs/2310.17189 (2023) - [i34]Jiashuo Fan, Yaoyuan Liang, Leyao Liu, Shao-Lun Huang, Lei Zhang:
RCA-NOC: Relative Contrastive Alignment for Novel Object Captioning. CoRR abs/2312.06299 (2023) - 2022
- [j17]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): 145-162 (2022) - [j16]Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng, Gregory W. Wornell:
An Information Theoretic Interpretation to Deep Neural Networks. Entropy 24(1): 135 (2022) - [j15]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): 2678-2693 (2022) - [j14]Xiangxiang Xu, Shao-Lun Huang:
On Distributed Learning With Constant Communication Bits. IEEE J. Sel. Areas Inf. Theory 3(1): 125-134 (2022) - [j13]Zelong Yang, Zhufeng 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): 589-597 (2022) - [c78]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: 8945-8953 - [c77]Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang:
On Sample Complexity of Learning Shared Representations: The Asymptotic Regime. Allerton 2022: 1-8 - [c76]Zifeng Wang, Rui Wen, Xi Chen, Shao-Lun Huang, Ningyu Zhang, Yefeng Zheng:
Finding Influential Instances for Distantly Supervised Relation Extraction. COLING 2022: 2639-2650 - [c75]Mingyang Li, Shao-Lun Huang, Lin Zhang:
A General Framework For Incomplete Cross-Modal Retrieval With Missing Labels And Missing Modalities. ICASSP 2022: 4763-4767 - [c74]Jian Xu, Shao-Lun Huang:
Byzantine-Resilient Decentralized Collaborative Learning. ICASSP 2022: 5253-5257 - [c73]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: 2609-2614 - [c72]Jian Xu, Xinyi Tong, Shao-Lun Huang:
Communication-Efficient and Byzantine-Robust Distributed Stochastic Learning with Arbitrary Number of Corrupted Workers. ICC 2022: 5415-5420 - [c71]Jian Xu, Shao-Lun Huang, Linqi Song, Tian Lan:
Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering. ICDCS 2022: 1223-1235 - [c70]Zifeng Wang, Shao-Lun Huang, Ercan Engin Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng:
PAC-Bayes Information Bottleneck. ICLR 2022 - [c69]Jian Xu, Yi Yan, Shao-Lun Huang:
FedPer++: Toward Improved Personalized Federated Learning on Heterogeneous and Imbalanced Data. IJCNN 2022: 1-8 - [c68]Tianren Peng, Weida Wang, Shao-Lun Huang:
A Mathematical Framework to Characterize the Dependency Structures in Multimodal Learning with Minimax Principle. ISIT 2022: 1489-1494 - [c67]Xinyi Tong, Jian Xu, Shao-Lun Huang:
An Information-theoretic Method for Collaborative Distributed Learning with Limited Communication. ITW 2022: 49-54 - [c66]Shao-Lun Huang:
Communicating Type Classes Through Channels: An Information Geometric View. ITW 2022: 309-314 - [c65]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 - [i33]Xinyi Tong, Jian Xu, Shao-Lun Huang:
An Information-theoretic Method for Collaborative Distributed Learning with Limited Communication. CoRR abs/2205.06515 (2022) - [i32]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 abs/2206.05749 (2022) - [i31]Jingge Wang, Liyan Xie, Yao Xie, Shao-Lun Huang, Yang Li:
Generalizing to Unseen Domains with Wasserstein Distributional Robustness under Limited Source Knowledge. CoRR abs/2207.04913 (2022) - [i30]Yang Tan, Yang Li, Shao-Lun Huang, Xiao-Ping Zhang:
Transferability-Guided Cross-Domain Cross-Task Transfer Learning. CoRR abs/2207.05510 (2022) - [i29]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 abs/2210.12945 (2022) - [i28]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 abs/2212.10082 (2022) - 2021
- [j12]Feng Zhao, Min Ye, Shao-Lun Huang:
Exact Recovery of Stochastic Block Model by Ising Model. Entropy 23(1): 65 (2021) - [j11]Shao-Lun Huang, Xiangxiang Xu:
On the Sample Complexity of HGR Maximal Correlation Functions for Large Datasets. IEEE Trans. Inf. Theory 67(3): 1951-1980 (2021) - [c64]Mingyang Li, Shao-Lun Huang, Lin Zhang:
OTCMR: Bridging Heterogeneity Gap with Optimal Transport for Cross-modal Retrieval. CIKM 2021: 3216-3220 - [c63]Yang Tan, Yang Li, Shao-Lun Huang:
OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations. CVPR 2021: 15779-15788 - [c62]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: 643-648 - [c61]Wangbin Sun, Fei Ma, Yang Li, Shao-Lun Huang, Shiguang Ni, Lin Zhang:
Semi-Supervised Multimodal Image Translation for Missing Modality Imputation. ICASSP 2021: 4320-4324 - [c60]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: 1-6 - [c59]Fei Ma, Shao-Lun Huang, Lin Zhang:
An Efficient Approach for Audio-Visual Emotion Recognition With Missing Labels And Missing Modalities. ICME 2021: 1-6 - [c58]Mingyang Li, Xiangxiang Xu, Shao-Lun Huang, Lin Zhang:
Dual Feature Distributional Regularization for Defending Against Adversarial Attacks. ICONIP (6) 2021: 377-386 - [c57]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: 386-390 - [c56]Jian Xu, Shao-Lun Huang, Linqi Song, Tian Lan:
Live Gradient Compensation for Evading Stragglers in Distributed Learning. INFOCOM 2021: 1-10 - [c55]Xiangxiang Xu, Shao-Lun Huang:
An Information Theoretic Framework for Distributed Learning Algorithms. ISIT 2021: 314-319 - [c54]Jin Sima, Feng Zhao, Shao-Lun Huang:
Exact Recovery in the Balanced Stochastic Block Model with Side Information. ITW 2021: 1-6 - [c53]Xiangxiang Xu, Shao-Lun Huang:
On Distributed Hypothesis Testing with Constant-Bit Communication Constraints. ITW 2021: 1-6 - [c52]Feng Zhao, Jin Sima, Shao-Lun Huang:
On the Optimal Error Rate of Stochastic Block Model with Symmetric Side Information. ITW 2021: 1-6 - [c51]Guangfeng Yan, Shao-Lun Huang, Tian Lan, Linqi Song:
DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning. MASS 2021: 136-144 - [c50]Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng:
A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning. NeurIPS 2021: 26103-26116 - [c49]Zifeng Wang, Yifan Yang, Rui Wen, Xi Chen, Shao-Lun Huang, Yefeng Zheng:
Lifelong Learning Based Disease Diagnosis on Clinical Notes. PAKDD (1) 2021: 213-224 - [c48]Sikai Yin, Fei Ma, Shao-Lun Huang:
A Semi-supervised Learning Approach for Visual Question Answering based on Maximal Correlation. SMC 2021: 3152-3157 - [c47]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: 3349-3358 - [i27]Zifeng Wang, Yifan Yang, Rui Wen, Xi Chen, Shao-Lun Huang, Yefeng Zheng:
Lifelong Learning based Disease Diagnosis on Clinical Notes. CoRR abs/2103.00165 (2021) - [i26]Yang Tan, Yang Li, Shao-Lun Huang:
OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations. CoRR abs/2103.13843 (2021) - [i25]Yang Tan, Yang Li, Shao-Lun Huang:
Practical Transferability Estimation for Image Classification Tasks. CoRR abs/2106.10479 (2021) - [i24]Guangfeng Yan, Shao-Lun Huang, Tian Lan, Linqi Song:
DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning. CoRR abs/2107.14575 (2021) - [i23]Fei Ma, Xiangxiang Xu, Shao-Lun Huang, Lin Zhang:
Maximum Likelihood Estimation for Multimodal Learning with Missing Modality. CoRR abs/2108.10513 (2021) - [i22]Jian Xu, Shao-Lun Huang, Linqi Song, Tian Lan:
SignGuard: Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering. CoRR abs/2109.05872 (2021) - [i21]Xiangxiang Xu, Shao-Lun Huang:
On Distributed Learning with Constant Communication Bits. CoRR abs/2109.06388 (2021) - [i20]Zifeng Wang, Shao-Lun Huang, Ercan E. Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng:
PAC-Bayes Information Bottleneck. CoRR abs/2109.14509 (2021) - [i19]Yang Tan, Yang Li, Shao-Lun Huang:
Transferability Estimation for Semantic Segmentation Task. CoRR abs/2109.15242 (2021) - 2020
- [j10]Xiangxiang Xu, Shao-Lun Huang:
Maximal Correlation Regression. IEEE Access 8: 26591-26601 (2020) - [j9]Xiangxiang Xu, Shao-Lun Huang:
On the Optimal Tradeoff Between Computational Efficiency and Generalizability of Oja's Algorithm. IEEE Access 8: 102616-102628 (2020) - [j8]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): 115-141 (2020) - [j7]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): 157-166 (2020) - [j6]Jing Lian, Yang Li, Weixi Gu, Shao-Lun Huang, Lin Zhang:
Mining Regional Mobility Patterns for Urban Dynamic Analytics. Mob. Networks Appl. 25(2): 459-473 (2020) - [c46]Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang:
Less Is Better: Unweighted Data Subsampling via Influence Function. AAAI 2020: 6340-6347 - [c45]Mingyang Li, Yang Li, Shao-Lun Huang, Lin Zhang:
Semantically Supervised Maximal Correlation For Cross-Modal Retrieval. ICIP 2020: 2291-2295 - [c44]Yihua Liang, Fei Ma, Yang Li, Shao-Lun Huang:
Person Recognition with HGR Maximal Correlation on Multimodal Data. ICPR 2020: 2188-2195 - [c43]Xiangxiang Xu, Weida Wang, Shao-Lun Huang:
On the Sample Complexity of Estimating Small Singular Modes. ISIT 2020: 1189-1194 - [c42]Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng, Gregory W. Wornell:
A Local Characterization for Wyner Common Information. ISIT 2020: 2252-2257 - [c41]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 - [c40]Feng Zhao, Xingzhi Niu, Shao-Lun Huang, Lin Zhang:
Reproducing Scientific Experiment with Cloud DevOps. SERVICES 2020: 259-264 - [i18]Zelong Yang, Zhufeng 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 abs/2008.06313 (2020) - [i17]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 abs/2009.02623 (2020) - [i16]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 abs/2009.02625 (2020) - [i15]Zifeng Wang, Rui Wen, Xi Chen, Shao-Lun Huang, Ningyu Zhang, Yefeng Zheng:
Finding Influential Instances for Distantly Supervised Relation Extraction. CoRR abs/2009.09841 (2020) - [i14]Zelong Yang, Yan Wang, Piji Li, Shaobin Lin, Shuming Shi, Shao-Lun Huang:
Predicting Events in MOBA Games: Dataset, Attribution, and Evaluation. CoRR abs/2012.09424 (2020)
2010 – 2019
- 2019
- [c39]Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang:
An Efficient Approach to Informative Feature Extraction from Multimodal Data. AAAI 2019: 5281-5288 - [c38]Xiangxiang Xu, Shao-Lun Huang:
On the Asymptotic Sample Complexity of HGR Maximal Correlation Functions in Semi-supervised Learning. Allerton 2019: 879-886 - [c37]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. ICIP 2019: 2309-2313 - [c36]Lu Li, Yang Li, Xiangxiang Xu, Shao-Lun Huang, Lin Zhang:
Maximal Correlation Embedding Network for Multilabel Learning with Missing Labels. ICME 2019: 393-398 - [c35]Fei Ma, Wei Zhang, Yang Li, Shao-Lun Huang, Lin Zhang:
An End-to-End Learning Approach for Multimodal Emotion Recognition: Extracting Common and Private Information. ICME 2019: 1144-1149 - [c34]Feng Zhao, Fei Ma, Yang Li, Shao-Lun Huang, Lin Zhang:
Info-Detection: An Information-Theoretic Approach to Detect Outlier. ICONIP (5) 2019: 489-496 - [c33]Hanling Wang, Mingyang Li, Fei Ma, Shao-Lun Huang, Lin Zhang:
Unsupervised anomaly detection via generative adversarial networks: poster abstract. IPSN 2019: 313-314 - [c32]Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng, Gregory W. Wornell:
An Information Theoretic Interpretation to Deep Neural Networks. ISIT 2019: 1984-1988 - [c31]Shao-Lun Huang, Xiangxiang Xu:
On the Robustness of Noisy ACE Algorithm and Multi-Layer Residual Learning. ISIT 2019: 2474-2478 - [c30]Jing Lian, Yang Li, Shao-Lun Huang, Lin Zhang:
Mining Mobility Patterns with Trip-Based Traffic Analysis Zones: A Deep Feature Embedding Approach. ITSC 2019: 1650-1657 - [c29]Shao-Lun Huang, Xiangxiang Xu:
On The Sample Complexity of HGR Maximal Correlation Functions. ITW 2019: 1-5 - [c28]Mingyang Li, Hanling Wang, Yue Zhang, Shao-Lun Huang, Lin Zhang:
Anomaly detection in surface mount technology process using multi-modal data: poster abstract. SenSys 2019: 412-413 - [i13]Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng, Gregory W. Wornell:
An Information Theoretic Interpretation to Deep Neural Networks. CoRR abs/1905.06600 (2019) - [i12]Shao-Lun Huang, Xiangxiang Xu:
On the Sample Complexity of HGR Maximal Correlation Functions. CoRR abs/1907.00393 (2019) - [i11]Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng:
An Information-theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data. CoRR abs/1910.03196 (2019) - [i10]Feng Zhao, Xingzhi Niu, Shao-Lun Huang, Lin Zhang:
Reproducing Scientific Experiment with Cloud DevOps. CoRR abs/1910.13397 (2019) - [i9]Shao-Lun Huang, Anuran Makur, Gregory W. Wornell, Lizhong Zheng:
On Universal Features for High-Dimensional Learning and Inference. CoRR abs/1911.09105 (2019) - [i8]Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang:
Less Is Better: Unweighted Data Subsampling via Influence Function. CoRR abs/1912.01321 (2019) - 2018
- [j5]Shang Zhang, Yuhan Dong, Hongyan Fu, Shao-Lun Huang, Lin Zhang:
A Spectral Reconstruction Algorithm of Miniature Spectrometer Based on Sparse Optimization and Dictionary Learning. Sensors 18(2): 644 (2018) - [c27]Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng, Lin Zhang:
The Geometric Structure of Generalized Softmax Learning. ITW 2018: 1-5 - [c26]Shao-Lun Huang, Gregory W. Wornell, Lizhong Zheng:
Gaussian Universal Features, Canonical Correlations, and Common Information. ITW 2018: 1-5 - [c25]Jing Lian, Yang Li, Weixi Gu, Shao-Lun Huang, Lin Zhang:
Joint Mobility Pattern Mining with Urban Region Partitions. MobiQuitous 2018: 362-371 - [c24]Fei Ma, Weixi Gu, Wei Zhang, Shiguang Ni, Shao-Lun Huang, Lin Zhang:
Speech Emotion Recognition via Attention-based DNN from Multi-Task Learning. SenSys 2018: 363-364 - [c23]Wei Zhang, Weixi Gu, Fei Ma, Shiguang Ni, Lin Zhang, Shao-Lun Huang:
Multimodal Emotion Recognition by extracting common and modality-specific information. SenSys 2018: 396-397 - [c22]Qianjin Du, Weixi Gu, Lin Zhang, Shao-Lun Huang:
Attention-based LSTM-CNNs For Time-series Classification. SenSys 2018: 410-411 - [i7]Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang:
An Efficient Approach to Informative Feature Extraction from Multimodal Data. CoRR abs/1811.08979 (2018) - 2017
- [c21]Liandong Zhou, Shao-Lun Huang, Lin Zhang:
Zoning by mobility: evaluating city administrative regions by taxi data: poster abstract. IPSN 2017: 289-290 - [c20]Wangjing Cao, Xin Lin, Kai Zhang, Yuhan Dong, Shao-Lun Huang, Lin Zhang:
Analysis and evaluation of driving behavior recognition based on a 3-axis accelerometer using a random forest approach: poster abstract. IPSN 2017: 303-304 - [c19]Shao-Lun Huang, Anuran Makur, Lizhong Zheng, Gregory W. Wornell:
An information-theoretic approach to universal feature selection in high-dimensional inference. ISIT 2017: 1336-1340 - [c18]Shao-Lun Huang, Lin Zhang, Lizhong Zheng:
An information-theoretic approach to unsupervised feature selection for high-dimensional data. ITW 2017: 434-438 - 2016
- [c17]I-Hsiang Wang, Shao-Lun Huang, Kuan-Yun Lee:
Extracting sparse data via histogram queries. Allerton 2016: 39-45 - [c16]Kwang-Cheng Chen, Baturalp Mankir, Shao-Lun Huang, Lizhong Zheng, H. Vincent Poor:
Communication theoretic inference on heterogeneous data. ICC 2016: 1-6 - [c15]I-Hsiang Wang, Shao-Lun Huang, Kuan-Yun Lee, Kwang-Cheng Chen:
Data extraction via histogram and arithmetic mean queries: Fundamental limits and algorithms. ISIT 2016: 1386-1390 - 2015
- [j4]Kwang-Cheng Chen, Shao-Lun Huang, Lizhong Zheng, H. Vincent Poor:
Communication Theoretic Data Analytics. IEEE J. Sel. Areas Commun. 33(4): 663-675 (2015) - [j3]Shao-Lun Huang, Changho Suh, Lizhong Zheng:
Euclidean Information Theory of Networks. IEEE Trans. Inf. Theory 61(12): 6795-6814 (2015) - [c14]Anuran Makur, Fabian Kozynski, Shao-Lun Huang, Lizhong Zheng:
An efficient algorithm for information decomposition and extraction. Allerton 2015: 972-979 - [c13]Shao-Lun Huang, Kwang-Cheng Chen:
Information cascades in social networks via dynamic system analyses. ICC 2015: 1262-1267 - [c12]Ali Makhdoumi, Shao-Lun Huang, Muriel Médard, Yury Polyanskiy:
On locally decodable source coding. ICC 2015: 4394-4399 - [c11]Shao-Lun Huang, Lizhong Zheng:
A spectrum decomposition to the feature spaces and the application to big data analytics. ISIT 2015: 661-665 - [i6]Kwang-Cheng Chen, Shao-Lun Huang, Lizhong Zheng, H. Vincent Poor:
Communication Theoretic Data Analytics. CoRR abs/1501.05379 (2015) - [i5]Shao-Lun Huang, Changho Suh, Lizhong Zheng:
Euclidean Information Theory of Networks. CoRR abs/1505.04673 (2015) - 2014
- [c10]Shao-Lun Huang, Anuran Makur, Fabian Kozynski, Lizhong Zheng:
Efficient statistics: Extracting information from IID observations. Allerton 2014: 699-706 - [c9]Kang-Hao Peng, Kwang-Cheng Chen, Shao-Lun Huang, Shao-Chou Hung, Xinhao Cheng:
Green Traffic Compression in Wireless Sensor Networks. VTC Spring 2014: 1-5 - [i4]Shao-Lun Huang, Lizhong Zheng:
The Linear Information Coupling Problems. CoRR abs/1406.2834 (2014) - 2013
- [b1]Shao-Lun Huang:
Euclidean network information theory. Massachusetts Institute of Technology, Cambridge, MA, USA, 2013 - [j2]Shao-Lun Huang, Wei-Hsun Lin, Po-Kai Huang, Chung-Yang Huang:
Match and Replace: A Functional ECO Engine for Multierror Circuit Rectification. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 32(3): 467-478 (2013) - [j1]Emmanuel Abbe, Shao-Lun Huang, Emre Telatar:
Proof of the Outage Probability Conjecture for MISO Channels. IEEE Trans. Inf. Theory 59(5): 2596-2602 (2013) - [c8]Shao-Lun Huang, Changho Suh, Lizhong Zheng:
Euclidean information theory of networks. ISIT 2013: 794-798 - [i3]Ali Makhdoumi, Shao-Lun Huang, Muriel Médard, Yury Polyanskiy:
On Locally Decodable Source Coding. CoRR abs/1308.5239 (2013) - 2012
- [c7]Shao-Lun Huang, Lizhong Zheng:
Linear information coupling problems. ISIT 2012: 1029-1033 - [c6]Emmanuel Abbe, Shao-Lun Huang, Emre Telatar:
Proof of the outage probability conjecture for MISO channels. ITW 2012: 65-69 - [i2]Shao-Lun Huang, Lizhong Zheng:
Linear Information Coupling Problems. CoRR abs/1206.3612 (2012) - 2011
- [c5]Shao-Lun Huang, Chi-An Wu, Kai-Fu Tang, Chang-Hong Hsu, Chung-Yang Huang:
A robust ECO engine by resource-constraint-aware technology mapping and incremental routing optimization. ASP-DAC 2011: 382-387 - [c4]Shao-Lun Huang, Wei-Hsun Lin, Chung-Yang (Ric) Huang:
Match and replace - A functional ECO engine for multi-error circuit rectification. ICCAD 2011: 383-388 - [i1]Emmanuel Abbe, Shao-Lun Huang, Emre Telatar:
Proof of the outage probability conjecture for MISO channels. CoRR abs/1103.5478 (2011) - 2010
- [c3]Shao-Lun Huang, Yufei W. Blankenship, Lizhong Zheng:
The design of binary shaping filter of binary code. WCNIS 2010: 228-232
2000 – 2009
- 2009
- [c2]Chi-An Wu, Ting-Hao Lin, Shao-Lun Huang, Chung-Yang Huang:
SAT-controlled redundancy addition and removal: a novel circuit restructuring technique. ASP-DAC 2009: 191-196 - [c1]Chih-Jen Hsu, Shao-Lun Huang, Chi-An Wu, Chung-Yang Huang:
Interpolant generation without constructing resolution graph. ICCAD 2009: 9-12
Coauthor Index
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