Shao-Lun Huang

193 papers A* 18A 11B 39C 2Misc 9Journal 85Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond the Golden Data: Resolving the Motion-Vision Quality Dilemma via Timestep Selective Training. CoRR Xiangyang Luo, Qingyu Li, Yuming Li, Guanbo Huang, Yongjie Zhu, Wenyu Qin, Meng Wang, Pengfei Wan, Shao-Lun Huang
2026	J	`jnl`	Classification and recognition of brain tumors from MRI images based on improved YOLOv6. Biomed. Signal Process. Control. Hongkang Zhang, Shao-Lun Huang, Ercan Engin Kuruoglu
2026	J	`jnl`	FactorMiner: A Self-Evolving Agent with Skills and Experience Memory for Financial Alpha Discovery. CoRR Yanlong Wang, Jian Xu, Hongkang Zhang, Shao-Lun Huang, Danny Dongning Sun, Xiao-Ping Zhang
2026	A*	`conf`	FilmWeaver: Weaving Consistent Multi-Shot Videos with Cache-Guided Autoregressive Diffusion. AAAI Xiangyang Luo, Qingyu Li, Xiaokun Liu, Wenyu Qin, Miao Yang, Meng Wang, Pengfei Wan, Di Zhang, Kun Gai, Shao-Lun Huang
2026	J	`jnl`	Unified Optimization of Source Weights and Transfer Quantities in Multi-Source Transfer Learning: An Asymptotic Framework. CoRR Qingyue Zhang, Chang Chu, Haohao Fu, Tianren Peng, Yanru Wu, Guanbo Huang, Yang Li, Shao-Lun Huang
2025	J	`jnl`	A Theoretical Framework for Data Efficient Multi-Source Transfer Learning Based on Cramér-Rao Bound. CoRR Qingyue Zhang, Haohao Fu, Guanbo Huang, Yaoyuan Liang, Chang Chu, Tianren Peng, Yanru Wu, Qi Li, Yang Li, Shao-Lun Huang
2025	J	`jnl`	Assessing Uncertainty in Stock Returns: A Gaussian Mixture Distribution-Based Method. CoRR Yanlong Wang, Jian Xu, Shao-Lun Huang, Danny Dongning Sun, Xiao-Ping Zhang
2025	J	`jnl`	CanonSwap: High-Fidelity and Consistent Video Face Swapping via Canonical Space Modulation. CoRR Xiangyang Luo, Ye Zhu, Yunfei Liu, Lijian Lin, Cong Wan, Zijian Cai, Shao-Lun Huang, Yu Li
2025	A	`conf`	Content-Style Disentangled Audio Style Transfer via Diffusion Model. ICME Yiran Wang, Jiasheng Lu, Jun Chen, Xinyu Zhang, Yingshan Liang, Zhicheng Du, Qingyang Shi, Shao-Lun Huang
2025	J	`jnl`	Cooperative Multi-Model Training for Personalized Federated Learning Over Heterogeneous Devices. IEEE J. Sel. Top. Signal Process. Jian Xu, Shuo Wan, Yinchuan Li, Sichun Luo, Zhilin Chen, Yunfeng Shao, Zhitang Chen, Shao-Lun Huang, Linqi Song
2025	Misc	`conf`	Efficient Global Attention and Correlation-Aware Fusion for Hyperspectral Image Classification. ICASSP Hongkang Zhang, Shao-Lun Huang, Ercan Engin Kuruoglu
2025	A*	`conf`	Efficient Rectification Signal Validation for Optimal Functional ECO Patch Generation. DAC Tzu-Yu Tung, Yu-Ling Hsu, Shao-Lun Huang, Chung-Yang Ric Huang
2025	J	`jnl`	FilmWeaver: Weaving Consistent Multi-Shot Videos with Cache-Guided Autoregressive Diffusion. CoRR Xiangyang Luo, Qingyu Li, Xiaokun Liu, Wenyu Qin, Miao Yang, Meng Wang, Pengfei Wan, Di Zhang, Kun Gai, Shao-Lun Huang
2025	J	`jnl`	FinTSBridge: A New Evaluation Suite for Real-world Financial Prediction with Advanced Time Series Models. CoRR Yanlong Wang, Jian Xu, Tiantian Gao, Hongkang Zhang, Shao-Lun Huang, Danny Dongning Sun, Xiao-Ping Zhang
2025	J	`jnl`	FinZero: Launching Multi-modal Financial Time Series Forecast with Large Reasoning Model. CoRR Yanlong Wang, Jian Xu, Fei Ma, Hongkang Zhang, Hang Yu, Tiantian Gao, Yu Wang, Haochen You, Shao-Lun Huang, Danny Dongning Sun, Xiao-Ping Zhang
2025	J	`jnl`	Generalizing to Unseen Domains With Wasserstein Distributional Robustness Under Limited Source Knowledge. IEEE J. Sel. Top. Signal Process. Jingge Wang, Liyan Xie, Yao Xie, Shao-Lun Huang, Yang Li
2025	J	`jnl`	Improved fuzzy C-means clustering algorithm based on fuzzy particle swarm optimization for solving data clustering problems. Math. Comput. Simul. Hongkang Zhang, Shao-Lun Huang
2025	B	`conf`	Information-Geometric Analysis of the Optimal Error Exponent in Fixed-Length Hypothesis Testing. ISIT Qingyue Zhang, Xinyi Tong, Tianren Peng, Shao-Lun Huang
2025	J	`jnl`	LoRA-DA: Data-Aware Initialization for Low-Rank Adaptation via Asymptotic Analysis. CoRR Qingyue Zhang, Chang Chu, Tianren Peng, Qi Li, Xiangyang Luo, Zhihao Jiang, Shao-Lun Huang
2025	J	`jnl`	On Theoretical Interpretations of Concept-Based In-Context Learning. CoRR Huaze Tang, Tianren Peng, Shao-Lun Huang
2025	B	`conf`	On the Optimal Second-Order Convergence Rate of Minimax Estimation Under Weighted Mse. ISIT Tianren Peng, Qi Li, Shao-Lun Huang
2025	B	`conf`	Quantum Entropy Prover. ISIT Shao-Lun Huang, Tobias Rippchen, Mario Berta
2025	J	`jnl`	Stabilizing and improving federated learning with highly non-iid data and client dropout. Appl. Intell. Jian Xu, Meilin Yang, Wenbo Ding, Shao-Lun Huang
2025	J	`jnl`	Transferability-Guided Cross-Domain Cross-Task Transfer Learning. IEEE Trans. Neural Networks Learn. Syst. Yang Tan, Enming Zhang, Yang Li, Shao-Lun Huang, Xiao-Ping Zhang
2025	J	`jnl`	VIFO: Visual Feature Empowered Multivariate Time Series Forecasting with Cross-Modal Fusion. CoRR Yanlong Wang, Hang Yu, Jian Xu, Fei Ma, Hongkang Zhang, Tongtong Feng, Zijian Zhang, Shao-Lun Huang, Danny Dongning Sun, Xiao-Ping Zhang
2025	—	`conf`	White-box Error Correction Code Transformer. CPAL Ziyan Zheng, Chin Wa Lau, Nian Guo, Xiang Shi, Shao-Lun Huang
2024	B	`conf`	A Non-asymptotic Framework for Characterizing Dependency Structures in Multimodal Learning. ITW Weida Wang, Tao Shi, Yaoyuan Liang, Xinyi Tong, Shao-Lun Huang
2024	A	`conf`	AdaForensics: Learning A Characteristic-aware Adaptive Deepfake Detector. ICME Xiaoke Yang, Haixu Song, Xiangyu Lu, Shao-Lun Huang, Yueqi Duan
2024	J	`jnl`	Bounds on f-Divergences between Distributions within Generalized Quasi-ε-Neighborhood. CoRR Xinchun Yu, Shuangqing Wei, Shao-Lun Huang, Xiao-Ping Zhang
2024	A*	`conf`	CoSTA: End-to-End Comprehensive Space-Time Entanglement for Spatio-Temporal Video Grounding. AAAI Yaoyuan Liang, Xiao Liang, Yansong Tang, Zhao Yang, Ziran Li, Jingang Wang, Wenbo Ding, Shao-Lun Huang
2024	—	`conf`	Enhancing VLC Vehicle Networks in Channel Estimation, Coding, and Multiple Access. GLOBECOM (Workshops) Yuan Xinjie, Jiaojiao Wang, Rui Chan, Zhenyu Liu, Jian Song, Shao-Lun Huang, Xun Guan
2024	J	`jnl`	HGR Correlation Pooling Fusion Framework for Recognition and Classification in Multimodal Remote Sensing Data. Remote. Sens. Hongkang Zhang, Shao-Lun Huang, Ercan Engin Kuruoglu
2024	J	`jnl`	MHFNet: An Improved HGR Multimodal Network for Informative Correlation Fusion in Remote Sensing Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Hongkang Zhang, Shao-Lun Huang, Ercan Engin Kuruoglu
2024	Misc	`conf`	NAC: Mitigating Noisy Correspondence in Cross-Modal Matching Via Neighbor Auxiliary Corrector. ICASSP Yuqing Li, Haoming Huang, Jian Xu, Shao-Lun Huang
2024	B	`conf`	On the Asymptotic HGR Maximal Correlation of Gaussian Markov Chain. ITW Tianren Peng, Xinyi Tong, Shao-Lun Huang
2024	J	`jnl`	On the Fundamental Limit of Distributed Learning With Interchangable Constrained Statistics. IEEE J. Sel. Areas Inf. Theory Xinyi Tong, Jian Xu, Shao-Lun Huang
2024	—	`conf`	On the Second Order Asymptotics of Covert Communications over AWGN Channels. ICC Xinchun Yu, Shuangqing Wei, Shao-Lun Huang, Xiao-Ping Zhang
2024	J	`jnl`	On the rate-distortion-perception-semantics tradeoff in low-rate regime for lossy compression. J. Frankl. Inst. Weida Wang, Xinyi Tong, Xinchun Yu, Shao-Lun Huang
2024	J	`jnl`	PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting. CoRR Yanlong Wang, Jian Xu, Fei Ma, Shao-Lun Huang, Danny Dongning Sun, Xiao-Ping Zhang
2024	B	`conf`	Second-Order Characterization of Minimax Parameter Estimation in Restricted Parameter Space. ISIT Tianren Peng, Xinyi Tong, Shao-Lun Huang
2024	A*	`conf`	Task Oriented In-Domain Data Augmentation. EMNLP Xiao Liang, Xinyu Hu, Simiao Zuo, Yeyun Gong, Qiang Lou, Yi Liu, Shao-Lun Huang, Jian Jiao
2024	J	`jnl`	Task Oriented In-Domain Data Augmentation. CoRR Xiao Liang, Xinyu Hu, Simiao Zuo, Yeyun Gong, Qiang Lou, Yi Liu, Shao-Lun Huang, Jian Jiao
2024	B	`conf`	The Second-Order Perspectives of Minimax Parameter Estimation in Restricted Space with Weighted Squared Error Loss. ITW Tianren Peng, Xinyi Tong, Shao-Lun Huang
2024	J	`jnl`	Universal Features for High-Dimensional Learning and Inference. Found. Trends Commun. Inf. Theory Shao-Lun Huang, Anuran Makur, Gregory W. Wornell, Lizhong Zheng
2024	A*	`conf`	Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation. NeurIPS Yaoyuan Liang, Zhuojun Cai, Jian Xu, Guanbo Huang, Yiran Wang, Xiao Liang, Jiahao Liu, Ziran Li, Jingang Wang, Shao-Lun Huang
2023	A	`conf`	A Joint Training-Calibration Framework for Test-Time Personalization with Label Shift in Federated Learning. CIKM Jian Xu, Shao-Lun Huang
2023	B	`conf`	An Information Theoretic Approach for Collaborative Distributed Parameter Estimation. ISIT Xinyi Tong, Tianren Peng, Shao-Lun Huang
2023	J	`jnl`	Exploring Iterative Refinement with Diffusion Models for Video Grounding. CoRR Xiao Liang, Tao Shi, Yaoyuan Liang, Te Tao, Shao-Lun Huang
2023	A*	`conf`	LUNA: Language as Continuing Anchors for Referring Expression Comprehension. ACM Multimedia Yaoyuan Liang, Zhao Yang, Yansong Tang, Jiashuo Fan, Ziran Li, Jingang Wang, Philip H. S. Torr, Shao-Lun Huang
2023	C	`conf`	Mitigating Model Poisoning Attacks on Distributed Learning with Heterogeneous Data. ICMLA Jian Xu, Guangfeng Yan, Ziyan Zheng, Shao-Lun Huang
2023	—	`conf`	MultiEMO: An Attention-Based Correlation-Aware Multimodal Fusion Framework for Emotion Recognition in Conversations. ACL (1) Tao Shi, Shao-Lun Huang
2023	J	`jnl`	On the Optimal Error Exponent of Type-Based Distributed Hypothesis Testing. Entropy Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang
2023	—	`conf`	Optimal Error Exponent of Type-Based Distributed Hypothesis Testing over AWGN Channels. Allerton Xinyi Tong, Shao-Lun Huang
2023	A*	`conf`	Personalized Federated Learning with Feature Alignment and Classifier Collaboration. ICLR Jian Xu, Xinyi Tong, Shao-Lun Huang
2023	J	`jnl`	Personalized Federated Learning with Feature Alignment and Classifier Collaboration. CoRR Jian Xu, Xinyi Tong, Shao-Lun Huang
2023	J	`jnl`	Predicting Events in MOBA Games: Prediction, Attribution, and Evaluation. IEEE Trans. Games Zelong Yang, Yan Wang, Piji Li, Shaobin Lin, Shuming Shi, Shao-Lun Huang, Wei Bi
2023	A*	`conf`	RCA-NOC: Relative Contrastive Alignment for Novel Object Captioning. ICCV Jiashuo Fan, Yaoyuan Liang, Leyao Liu, Shao-Lun Huang, Lei Zhang
2023	J	`jnl`	RCA-NOC: Relative Contrastive Alignment for Novel Object Captioning. CoRR Jiashuo Fan, Yaoyuan Liang, Leyao Liu, Shao-Lun Huang, Lei Zhang
2023	B	`conf`	Robust Deep Joint Source Channel Coding with Time-Varying Noise. GLOBECOM Weida Wang, Xinchun Yu, Xinyi Tong, Runpeng Yu, Xiao-Ping Zhang, Shao-Lun Huang
2023	—	`conf`	Robust Transfer Learning Based on Minimax Principle. Allerton Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng
2023	J	`jnl`	SSLCL: An Efficient Model-Agnostic Supervised Contrastive Learning Framework for Emotion Recognition in Conversations. CoRR Tao Shi, Xiao Liang, Yaoyuan Liang, Xinyi Tong, Shao-Lun Huang
2023	J	`jnl`	Special issue on non-deterministic machine learning. J. Frankl. Inst. Shao-Lun Huang, Emilie Chouzenoux, Simon J. Godsill, Tie Liu, Linqi Song, Lei Zhang
2023	J	`jnl`	Stabilizing and Improving Federated Learning with Non-IID Data and Client Dropout. CoRR Jian Xu, Meiling Yang, Wenbo Ding, Shao-Lun Huang
2023	J	`jnl`	The First and Second Order Asymptotics of Covert Communication over AWGN Channels. CoRR Xinchun Yu, Shuangqing Wei, Shao-Lun Huang, Xiao-Ping Zhang
2022	Misc	`conf`	A General Framework For Incomplete Cross-Modal Retrieval With Missing Labels And Missing Modalities. ICASSP Mingyang Li, Shao-Lun Huang, Lin Zhang
2022	B	`conf`	A Mathematical Framework to Characterize the Dependency Structures in Multimodal Learning with Minimax Principle. ISIT Tianren Peng, Weida Wang, Shao-Lun Huang
2022	J	`jnl`	AC-SGD: Adaptively Compressed SGD for Communication-Efficient Distributed Learning. IEEE J. Sel. Areas Commun. Guangfeng Yan, Tan Li, Shao-Lun Huang, Tian Lan, Linqi Song
2022	J	`jnl`	An Information Theoretic Interpretation to Deep Neural Networks. Entropy Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng, Gregory W. Wornell
2022	J	`jnl`	An Information-Theoretic Approach to Transferability in Task Transfer Learning. CoRR Yajie Bao, Yang Li, Shao-Lun Huang, Lin Zhang, Lizhong Zheng, Amir Zamir, Leonidas J. Guibas
2022	B	`conf`	An Information-theoretic Method for Collaborative Distributed Learning with Limited Communication. ITW Xinyi Tong, Jian Xu, Shao-Lun Huang
2022	J	`jnl`	An Information-theoretic Method for Collaborative Distributed Learning with Limited Communication. CoRR Xinyi Tong, Jian Xu, Shao-Lun Huang
2022	Misc	`conf`	Byzantine-Resilient Decentralized Collaborative Learning. ICASSP Jian Xu, Shao-Lun Huang
2022	A	`conf`	Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering. ICDCS Jian Xu, Shao-Lun Huang, Linqi Song, Tian Lan
2022	B	`conf`	Communicating Type Classes Through Channels: An Information Geometric View. ITW Shao-Lun Huang
2022	—	`conf`	Communication-Efficient and Byzantine-Robust Distributed Stochastic Learning with Arbitrary Number of Corrupted Workers. ICC Jian Xu, Xinyi Tong, Shao-Lun Huang
2022	J	`jnl`	Deep semantic segmentation for visual understanding on construction sites. Comput. Aided Civ. Infrastructure Eng. Zifeng Wang, Yuyang Zhang, Khalid M. Mosalam, Yuqing Gao, Shao-Lun Huang
2022	B	`conf`	FedPer++: Toward Improved Personalized Federated Learning on Heterogeneous and Imbalanced Data. IJCNN Jian Xu, Yi Yan, Shao-Lun Huang
2022	B	`conf`	Finding Influential Instances for Distantly Supervised Relation Extraction. COLING Zifeng Wang, Rui Wen, Xi Chen, Shao-Lun Huang, Ningyu Zhang, Yefeng Zheng
2022	J	`jnl`	Generalizing to Unseen Domains with Wasserstein Distributional Robustness under Limited Source Knowledge. CoRR Jingge Wang, Liyan Xie, Yao Xie, Shao-Lun Huang, Yang Li
2022	J	`jnl`	Interpretable Real-Time Win Prediction for Honor of Kings - A Popular Mobile MOBA Esport. IEEE Trans. Games Zelong Yang, Zhufeng Pan, Yan Wang, Deng Cai, Shuming Shi, Shao-Lun Huang, Wei Bi, Xiaojiang Liu
2022	—	`conf`	Multi-source Transfer Learning for Signal Detection over a Fading Channel with Co-channel Interference. ICC Ziyan Zheng, Xinyi Tong, Xinchun Yu, Xiangxiang Xu, Shao-Lun Huang
2022	J	`jnl`	On Distributed Learning With Constant Communication Bits. IEEE J. Sel. Areas Inf. Theory Xiangxiang Xu, Shao-Lun Huang
2022	—	`conf`	On Sample Complexity of Learning Shared Representations: The Asymptotic Regime. Allerton Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang
2022	A*	`conf`	PAC-Bayes Information Bottleneck. ICLR Zifeng Wang, Shao-Lun Huang, Ercan Engin Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng
2022	A*	`conf`	Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. AAAI Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He
2022	J	`jnl`	Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. CoRR Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He
2022	A*	`conf`	Revisiting Sparse Convolutional Model for Visual Recognition. NeurIPS Xili Dai, Mingyang Li, Pengyuan Zhai, Shengbang Tong, Xingjian Gao, Shao-Lun Huang, Zhihui Zhu, Chong You, Yi Ma
2022	J	`jnl`	Revisiting Sparse Convolutional Model for Visual Recognition. CoRR Xili Dai, Mingyang Li, Pengyuan Zhai, Shengbang Tong, Xingjian Gao, Shao-Lun Huang, Zhihui Zhu, Chong You, Yi Ma
2022	J	`jnl`	Transferability-Guided Cross-Domain Cross-Task Transfer Learning. CoRR Yang Tan, Yang Li, Shao-Lun Huang, Xiao-Ping Zhang
2021	A	`conf`	2021 CAD Contest Problem A: Functional ECO with Behavioral Change Guidance Invited Paper. ICCAD Yen-Chun Fang, Shao-Lun Huang, Chi-An Wu, Chung-Han Chou, Chih-Jen Hsu, WoeiTzy Jong, Kei-Yong Khoo
2021	A*	`conf`	A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning. NeurIPS Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng
2021	B	`conf`	A Semi-supervised Learning Approach for Visual Question Answering based on Maximal Correlation. SMC Sikai Yin, Fei Ma, Shao-Lun Huang
2021	A	`conf`	An Efficient Approach for Audio-Visual Emotion Recognition With Missing Labels And Missing Modalities. ICME Fei Ma, Shao-Lun Huang, Lin Zhang
2021	B	`conf`	An Information Theoretic Framework for Distributed Learning Algorithms. ISIT Xiangxiang Xu, Shao-Lun Huang
2021	B	`conf`	DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning. MASS Guangfeng Yan, Shao-Lun Huang, Tian Lan, Linqi Song
2021	J	`jnl`	DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning. CoRR Guangfeng Yan, Shao-Lun Huang, Tian Lan, Linqi Song
2021	—	`conf`	Dual Feature Distributional Regularization for Defending Against Adversarial Attacks. ICONIP (6) Mingyang Li, Xiangxiang Xu, Shao-Lun Huang, Lin Zhang
2021	B	`conf`	Enhancing Neural Network Based Hybrid Learning with Empirical Wavelet Transform for Time Series Forecasting. ICTAI Bunchalit Eua-Arporn, Shao-Lun Huang, Ercan Engin Kuruoglu
2021	B	`conf`	Exact Recovery in the Balanced Stochastic Block Model with Side Information. ITW Jin Sima, Feng Zhao, Shao-Lun Huang
2021	J	`jnl`	Exact Recovery of Stochastic Block Model by Ising Model. Entropy Feng Zhao, Min Ye, Shao-Lun Huang
2021	—	`conf`	Lifelong Learning Based Disease Diagnosis on Clinical Notes. PAKDD (1) Zifeng Wang, Yifan Yang, Rui Wen, Xi Chen, Shao-Lun Huang, Yefeng Zheng
2021	J	`jnl`	Lifelong Learning based Disease Diagnosis on Clinical Notes. CoRR Zifeng Wang, Yifan Yang, Rui Wen, Xi Chen, Shao-Lun Huang, Yefeng Zheng
2021	A*	`conf`	Live Gradient Compensation for Evading Stragglers in Distributed Learning. INFOCOM Jian Xu, Shao-Lun Huang, Linqi Song, Tian Lan
2021	J	`jnl`	Maximum Likelihood Estimation for Multimodal Learning with Missing Modality. CoRR Fei Ma, Xiangxiang Xu, Shao-Lun Huang, Lin Zhang
2021	A*	`conf`	OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations. CVPR Yang Tan, Yang Li, Shao-Lun Huang
2021	J	`jnl`	OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations. CoRR Yang Tan, Yang Li, Shao-Lun Huang
2021	A	`conf`	OTCMR: Bridging Heterogeneity Gap with Optimal Transport for Cross-modal Retrieval. CIKM Mingyang Li, Shao-Lun Huang, Lin Zhang
2021	B	`conf`	On Distributed Hypothesis Testing with Constant-Bit Communication Constraints. ITW Xiangxiang Xu, Shao-Lun Huang
2021	J	`jnl`	On Distributed Learning with Constant Communication Bits. CoRR Xiangxiang Xu, Shao-Lun Huang
2021	B	`conf`	On the Optimal Error Rate of Stochastic Block Model with Symmetric Side Information. ITW Feng Zhao, Jin Sima, Shao-Lun Huang
2021	J	`jnl`	On the Sample Complexity of HGR Maximal Correlation Functions for Large Datasets. IEEE Trans. Inf. Theory Shao-Lun Huang, Xiangxiang Xu
2021	A*	`conf`	Online Disease Diagnosis with Inductive Heterogeneous Graph Convolutional Networks. WWW Zifeng Wang, Rui Wen, Xi Chen, Shilei Cao, Shao-Lun Huang, Buyue Qian, Yefeng Zheng
2021	J	`jnl`	PAC-Bayes Information Bottleneck. CoRR Zifeng Wang, Shao-Lun Huang, Ercan E. Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng
2021	J	`jnl`	Practical Transferability Estimation for Image Classification Tasks. CoRR Yang Tan, Yang Li, Shao-Lun Huang
2021	Misc	`conf`	Semi-Supervised Multimodal Image Translation for Missing Modality Imputation. ICASSP Wangbin Sun, Fei Ma, Yang Li, Shao-Lun Huang, Shiguang Ni, Lin Zhang
2021	J	`jnl`	SignGuard: Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering. CoRR Jian Xu, Shao-Lun Huang, Linqi Song, Tian Lan
2021	J	`jnl`	Transferability Estimation for Semantic Segmentation Task. CoRR Yang Tan, Yang Li, Shao-Lun Huang
2021	—	`conf`	TriboGait: A deep learning enabled triboelectric gait sensor system for human activity recognition and individual identification. UbiComp/ISWC Adjunct Jiarong Li, Zihan Wang, Zihao Zhao, Yuchao Jin, Jihong Yin, Shao-Lun Huang, Jiyu Wang
2020	B	`conf`	A Local Characterization for Wyner Common Information. ISIT Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng, Gregory W. Wornell
2020	J	`jnl`	An Information-Theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data. IEEE J. Sel. Areas Inf. Theory Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng
2020	J	`jnl`	Finding Influential Instances for Distantly Supervised Relation Extraction. CoRR Zifeng Wang, Rui Wen, Xi Chen, Shao-Lun Huang, Ningyu Zhang, Yefeng Zheng
2020	A*	`conf`	Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback. NeurIPS Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang, Ercan E. Kuruoglu, Yefeng Zheng
2020	J	`jnl`	Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback. CoRR Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang, Ercan E. Kuruoglu, Yefeng Zheng
2020	J	`jnl`	Interpretable Real-Time Win Prediction for Honor of Kings, a Popular Mobile MOBA Esport. CoRR Zelong Yang, Zhufeng Pan, Yan Wang, Deng Cai, Shuming Shi, Shao-Lun Huang, Xiaojiang Liu
2020	A*	`conf`	Less Is Better: Unweighted Data Subsampling via Influence Function. AAAI Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang
2020	J	`jnl`	Maximal Correlation Regression. IEEE Access Xiangxiang Xu, Shao-Lun Huang
2020	J	`jnl`	Mining Regional Mobility Patterns for Urban Dynamic Analytics. Mob. Networks Appl. Jing Lian, Yang Li, Weixi Gu, Shao-Lun Huang, Lin Zhang
2020	J	`jnl`	On the Optimal Tradeoff Between Computational Efficiency and Generalizability of Oja's Algorithm. IEEE Access Xiangxiang Xu, Shao-Lun Huang
2020	B	`conf`	On the Sample Complexity of Estimating Small Singular Modes. ISIT Xiangxiang Xu, Weida Wang, Shao-Lun Huang
2020	J	`jnl`	Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks. CoRR Zifeng Wang, Rui Wen, Xi Chen, Shilei Cao, Shao-Lun Huang, Buyue Qian, Yefeng Zheng
2020	B	`conf`	Person Recognition with HGR Maximal Correlation on Multimodal Data. ICPR Yihua Liang, Fei Ma, Yang Li, Shao-Lun Huang
2020	J	`jnl`	Predicting Events in MOBA Games: Dataset, Attribution, and Evaluation. CoRR Zelong Yang, Yan Wang, Piji Li, Shaobin Lin, Shuming Shi, Shao-Lun Huang
2020	B	`conf`	Reproducing Scientific Experiment with Cloud DevOps. SERVICES Feng Zhao, Xingzhi Niu, Shao-Lun Huang, Lin Zhang
2020	B	`conf`	Semantically Supervised Maximal Correlation For Cross-Modal Retrieval. ICIP Mingyang Li, Yang Li, Shao-Lun Huang, Lin Zhang
2020	J	`jnl`	Triboelectric nanogenerators enabled internet of things: A survey. Intell. Converged Networks Jiarong Li, Changsheng Wu, Ishara Dharmasena, Xiaoyue Ni, Zihan Wang, Haixu Shen, Shao-Lun Huang, Wenbo Ding
2019	A*	`conf`	An Efficient Approach to Informative Feature Extraction from Multimodal Data. AAAI Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang
2019	A	`conf`	An End-to-End Learning Approach for Multimodal Emotion Recognition: Extracting Common and Private Information. ICME Fei Ma, Wei Zhang, Yang Li, Shao-Lun Huang, Lin Zhang
2019	B	`conf`	An Information Theoretic Interpretation to Deep Neural Networks. ISIT Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng, Gregory W. Wornell
2019	J	`jnl`	An Information Theoretic Interpretation to Deep Neural Networks. CoRR Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng, Gregory W. Wornell
2019	B	`conf`	An Information-Theoretic Approach to Transferability in Task Transfer Learning. ICIP Yajie Bao, Yang Li, Shao-Lun Huang, Lin Zhang, Lizhong Zheng, Amir Zamir, Leonidas J. Guibas
2019	J	`jnl`	An Information-theoretic Approach to Unsupervised Feature Selection for High-Dimensional Data. CoRR Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng
2019	Misc	`conf`	Anomaly detection in surface mount technology process using multi-modal data: poster abstract. SenSys Mingyang Li, Hanling Wang, Yue Zhang, Shao-Lun Huang, Lin Zhang
2019	—	`conf`	Info-Detection: An Information-Theoretic Approach to Detect Outlier. ICONIP (5) Feng Zhao, Fei Ma, Yang Li, Shao-Lun Huang, Lin Zhang
2019	J	`jnl`	Less Is Better: Unweighted Data Subsampling via Influence Function. CoRR Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang
2019	A	`conf`	Maximal Correlation Embedding Network for Multilabel Learning with Missing Labels. ICME Lu Li, Yang Li, Xiangxiang Xu, Shao-Lun Huang, Lin Zhang
2019	—	`conf`	Mining Mobility Patterns with Trip-Based Traffic Analysis Zones: A Deep Feature Embedding Approach. ITSC Jing Lian, Yang Li, Shao-Lun Huang, Lin Zhang
2019	B	`conf`	On The Sample Complexity of HGR Maximal Correlation Functions. ITW Shao-Lun Huang, Xiangxiang Xu
2019	J	`jnl`	On Universal Features for High-Dimensional Learning and Inference. CoRR Shao-Lun Huang, Anuran Makur, Gregory W. Wornell, Lizhong Zheng
2019	—	`conf`	On the Asymptotic Sample Complexity of HGR Maximal Correlation Functions in Semi-supervised Learning. Allerton Xiangxiang Xu, Shao-Lun Huang
2019	B	`conf`	On the Robustness of Noisy ACE Algorithm and Multi-Layer Residual Learning. ISIT Shao-Lun Huang, Xiangxiang Xu
2019	J	`jnl`	On the Sample Complexity of HGR Maximal Correlation Functions. CoRR Shao-Lun Huang, Xiangxiang Xu
2019	J	`jnl`	Reproducing Scientific Experiment with Cloud DevOps. CoRR Feng Zhao, Xingzhi Niu, Shao-Lun Huang, Lin Zhang
2019	—	`conf`	Unsupervised anomaly detection via generative adversarial networks: poster abstract. IPSN Hanling Wang, Mingyang Li, Fei Ma, Shao-Lun Huang, Lin Zhang
2018	J	`jnl`	A Spectral Reconstruction Algorithm of Miniature Spectrometer Based on Sparse Optimization and Dictionary Learning. Sensors Shang Zhang, Yuhan Dong, Hongyan Fu, Shao-Lun Huang, Lin Zhang
2018	J	`jnl`	An Efficient Approach to Informative Feature Extraction from Multimodal Data. CoRR Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang
2018	Misc	`conf`	Attention-based LSTM-CNNs For Time-series Classification. SenSys Qianjin Du, Weixi Gu, Lin Zhang, Shao-Lun Huang
2018	B	`conf`	Gaussian Universal Features, Canonical Correlations, and Common Information. ITW Shao-Lun Huang, Gregory W. Wornell, Lizhong Zheng
2018	C	`conf`	Joint Mobility Pattern Mining with Urban Region Partitions. MobiQuitous Jing Lian, Yang Li, Weixi Gu, Shao-Lun Huang, Lin Zhang
2018	Misc	`conf`	Multimodal Emotion Recognition by extracting common and modality-specific information. SenSys Wei Zhang, Weixi Gu, Fei Ma, Shiguang Ni, Lin Zhang, Shao-Lun Huang
2018	Misc	`conf`	Speech Emotion Recognition via Attention-based DNN from Multi-Task Learning. SenSys Fei Ma, Weixi Gu, Wei Zhang, Shiguang Ni, Shao-Lun Huang, Lin Zhang
2018	B	`conf`	The Geometric Structure of Generalized Softmax Learning. ITW Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng, Lin Zhang
2017	B	`conf`	An information-theoretic approach to universal feature selection in high-dimensional inference. ISIT Shao-Lun Huang, Anuran Makur, Lizhong Zheng, Gregory W. Wornell
2017	B	`conf`	An information-theoretic approach to unsupervised feature selection for high-dimensional data. ITW Shao-Lun Huang, Lin Zhang, Lizhong Zheng
2017	—	`conf`	Analysis and evaluation of driving behavior recognition based on a 3-axis accelerometer using a random forest approach: poster abstract. IPSN Wangjing Cao, Xin Lin, Kai Zhang, Yuhan Dong, Shao-Lun Huang, Lin Zhang
2017	—	`conf`	Zoning by mobility: evaluating city administrative regions by taxi data: poster abstract. IPSN Liandong Zhou, Shao-Lun Huang, Lin Zhang
2016	—	`conf`	Communication theoretic inference on heterogeneous data. ICC Kwang-Cheng Chen, Baturalp Mankir, Shao-Lun Huang, Lizhong Zheng, H. Vincent Poor
2016	B	`conf`	Data extraction via histogram and arithmetic mean queries: Fundamental limits and algorithms. ISIT I-Hsiang Wang, Shao-Lun Huang, Kuan-Yun Lee, Kwang-Cheng Chen
2016	—	`conf`	Extracting sparse data via histogram queries. Allerton I-Hsiang Wang, Shao-Lun Huang, Kuan-Yun Lee
2015	B	`conf`	A spectrum decomposition to the feature spaces and the application to big data analytics. ISIT Shao-Lun Huang, Lizhong Zheng
2015	—	`conf`	An efficient algorithm for information decomposition and extraction. Allerton Anuran Makur, Fabian Kozynski, Shao-Lun Huang, Lizhong Zheng
2015	J	`jnl`	Communication Theoretic Data Analytics. CoRR Kwang-Cheng Chen, Shao-Lun Huang, Lizhong Zheng, H. Vincent Poor
2015	J	`jnl`	Communication Theoretic Data Analytics. IEEE J. Sel. Areas Commun. Kwang-Cheng Chen, Shao-Lun Huang, Lizhong Zheng, H. Vincent Poor
2015	J	`jnl`	Euclidean Information Theory of Networks. CoRR Shao-Lun Huang, Changho Suh, Lizhong Zheng
2015	J	`jnl`	Euclidean Information Theory of Networks. IEEE Trans. Inf. Theory Shao-Lun Huang, Changho Suh, Lizhong Zheng
2015	—	`conf`	Information cascades in social networks via dynamic system analyses. ICC Shao-Lun Huang, Kwang-Cheng Chen
2015	—	`conf`	On locally decodable source coding. ICC Ali Makhdoumi, Shao-Lun Huang, Muriel Médard, Yury Polyanskiy
2014	—	`conf`	Efficient statistics: Extracting information from IID observations. Allerton Shao-Lun Huang, Anuran Makur, Fabian Kozynski, Lizhong Zheng
2014	—	`conf`	Green Traffic Compression in Wireless Sensor Networks. VTC Spring Kang-Hao Peng, Kwang-Cheng Chen, Shao-Lun Huang, Shao-Chou Hung, Xinhao Cheng
2014	J	`jnl`	The Linear Information Coupling Problems. CoRR Shao-Lun Huang, Lizhong Zheng
2013	B	`conf`	Euclidean information theory of networks. ISIT Shao-Lun Huang, Changho Suh, Lizhong Zheng
2013	—	`—`	Euclidean network information theory. Shao-Lun Huang
2013	J	`jnl`	Match and Replace: A Functional ECO Engine for Multierror Circuit Rectification. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Shao-Lun Huang, Wei-Hsun Lin, Po-Kai Huang, Chung-Yang Huang
2013	J	`jnl`	On Locally Decodable Source Coding. CoRR Ali Makhdoumi, Shao-Lun Huang, Muriel Médard, Yury Polyanskiy
2013	J	`jnl`	Proof of the Outage Probability Conjecture for MISO Channels. IEEE Trans. Inf. Theory Emmanuel Abbe, Shao-Lun Huang, Emre Telatar
2012	J	`jnl`	Linear Information Coupling Problems CoRR Shao-Lun Huang, Lizhong Zheng
2012	B	`conf`	Linear information coupling problems. ISIT Shao-Lun Huang, Lizhong Zheng
2012	B	`conf`	Proof of the outage probability conjecture for MISO channels. ITW Emmanuel Abbe, Shao-Lun Huang, Emre Telatar
2011	—	`conf`	A robust ECO engine by resource-constraint-aware technology mapping and incremental routing optimization. ASP-DAC Shao-Lun Huang, Chi-An Wu, Kai-Fu Tang, Chang-Hong Hsu, Chung-Yang Huang
2011	A	`conf`	Match and replace - A functional ECO engine for multi-error circuit rectification. ICCAD Shao-Lun Huang, Wei-Hsun Lin, Chung-Yang (Ric) Huang
2011	J	`jnl`	Proof of the outage probability conjecture for MISO channels CoRR Emmanuel Abbe, Shao-Lun Huang, Emre Telatar
2010	—	`conf`	The design of binary shaping filter of binary code. WCNIS Shao-Lun Huang, Yufei W. Blankenship, Lizhong Zheng
2009	A	`conf`	Interpolant generation without constructing resolution graph. ICCAD Chih-Jen Hsu, Shao-Lun Huang, Chi-An Wu, Chung-Yang Huang
2009	—	`conf`	SAT-controlled redundancy addition and removal: a novel circuit restructuring technique. ASP-DAC Chi-An Wu, Ting-Hao Lin, Shao-Lun Huang, Chung-Yang Huang