| 2026 | AAAI | FilmWeaver: Weaving Consistent Multi-Shot Videos with Cache-Guided Autoregressive Diffusion. | Xiangyang Luo, Qingyu Li, Xiaokun Liu, Wenyu Qin, Miao Yang, Meng Wang, Pengfei Wan, Di Zhang, Kun Gai, Shao-Lun Huang |
| 2026 | ICPR | PSformer: Parameter-Efficient Transformer with Segment Shared Attention for Time Series Forecasting. | Yanlong Wang, Jian Xu, Fei Ma, Hongkang Zhang, Shao-Lun Huang, Danny Dongning Sun, Xiao-Ping Zhang |
| 2026 | ISIT | On the Equivalence Relationships among Fisher Information, Shannon Measures and Variance. | Yuan Xinjie, Tianren Peng, Zhenyu Liu, Shao-Lun Huang |
| 2025 | DAC | Efficient Rectification Signal Validation for Optimal Functional ECO Patch Generation. | Tzu-Yu Tung, Yu-Ling Hsu, Shao-Lun Huang, Chung-Yang Ric Huang |
| 2025 | ICASSP | Efficient Global Attention and Correlation-Aware Fusion for Hyperspectral Image Classification. | Hongkang Zhang, Shao-Lun Huang, Ercan Engin Kuruoglu |
| 2025 | ICCV | Canonswap: High-Fidelity and Consistent Video Face Swapping Via Canonical Space Modulation. | Xiangyang Luo, Ye Zhu, Yunfei Liu, Lijian Lin, Cong Wan, Zijian Cai, Yu Li, Shao-Lun Huang |
| 2025 | ISIT | Quantum Entropy Prover. | Shao-Lun Huang, Tobias Rippchen, Mario Berta |
| 2025 | ISIT | On the Optimal Second-Order Convergence Rate of Minimax Estimation Under Weighted Mse. | Tianren Peng, Qi Li, Shao-Lun Huang |
| 2025 | ISIT | Information-Geometric Analysis of the Optimal Error Exponent in Fixed-Length Hypothesis Testing. | Qingyue Zhang, Xinyi Tong, Tianren Peng, Shao-Lun Huang |
| 2024 | AAAI | CoSTA: End-to-End Comprehensive Space-Time Entanglement for Spatio-Temporal Video Grounding. | Yaoyuan Liang, Xiao Liang, Yansong Tang, Zhao Yang, Ziran Li, Jingang Wang, Wenbo Ding, Shao-Lun Huang |
| 2024 | EMNLP | Task Oriented In-Domain Data Augmentation. | Xiao Liang, Xinyu Hu, Simiao Zuo, Yeyun Gong, Qiang Lou, Yi Liu, Shao-Lun Huang, Jian Jiao |
| 2024 | GLOBECOM | Enhancing VLC Vehicle Networks in Channel Estimation, Coding, and Multiple Access. | Yuan Xinjie, Jiaojiao Wang, Rui Chan, Zhenyu Liu, Jian Song, Shao-Lun Huang, Xun Guan |
| 2024 | ICASSP | NAC: Mitigating Noisy Correspondence in Cross-Modal Matching Via Neighbor Auxiliary Corrector. | Yuqing Li, Haoming Huang, Jian Xu, Shao-Lun Huang |
| 2024 | ISIT | Second-Order Characterization of Minimax Parameter Estimation in Restricted Parameter Space. | Tianren Peng, Xinyi Tong, Shao-Lun Huang |
| 2024 | ITW | On the Asymptotic HGR Maximal Correlation of Gaussian Markov Chain. | Tianren Peng, Xinyi Tong, Shao-Lun Huang |
| 2024 | ITW | The Second-Order Perspectives of Minimax Parameter Estimation in Restricted Space with Weighted Squared Error Loss. | Tianren Peng, Xinyi Tong, Shao-Lun Huang |
| 2024 | ITW | A Non-asymptotic Framework for Characterizing Dependency Structures in Multimodal Learning. | Weida Wang, Tao Shi, Yaoyuan Liang, Xinyi Tong, Shao-Lun Huang |
| 2023 | ACL | MultiEMO: An Attention-Based Correlation-Aware Multimodal Fusion Framework for Emotion Recognition in Conversations. | Tao Shi, Shao-Lun Huang |
| 2023 | CIKM | A Joint Training-Calibration Framework for Test-Time Personalization with Label Shift in Federated Learning. | Jian Xu, Shao-Lun Huang |
| 2023 | GLOBECOM | Robust Deep Joint Source Channel Coding with Time-Varying Noise. | Weida Wang, Xinchun Yu, Xinyi Tong, Runpeng Yu, Xiao-Ping Zhang, Shao-Lun Huang |
| 2023 | ICCV | RCA-NOC: Relative Contrastive Alignment for Novel Object Captioning. | Jiashuo Fan, Yaoyuan Liang, Leyao Liu, Shao-Lun Huang, Lei Zhang |
| 2023 | ICLR | Personalized Federated Learning with Feature Alignment and Classifier Collaboration. | Jian Xu, Xinyi Tong, Shao-Lun Huang |
| 2023 | ICMLA | Mitigating Model Poisoning Attacks on Distributed Learning with Heterogeneous Data. | Jian Xu, Guangfeng Yan, Ziyan Zheng, Shao-Lun Huang |
| 2023 | ISIT | An Information Theoretic Approach for Collaborative Distributed Parameter Estimation. | Xinyi Tong, Tianren Peng, Shao-Lun Huang |
| 2022 | AAAI | Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. | Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He |
| 2022 | COLING | Finding Influential Instances for Distantly Supervised Relation Extraction. | Zifeng Wang, Rui Wen, Xi Chen, Shao-Lun Huang, Ningyu Zhang, Yefeng Zheng |
| 2022 | ICASSP | A General Framework For Incomplete Cross-Modal Retrieval With Missing Labels And Missing Modalities. | Mingyang Li, Shao-Lun Huang, Lin Zhang |
| 2022 | ICASSP | Byzantine-Resilient Decentralized Collaborative Learning. | Jian Xu, Shao-Lun Huang |
| 2022 | ICDCS | Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering. | Jian Xu, Shao-Lun Huang, Linqi Song, Tian Lan |
| 2022 | ICLR | PAC-Bayes Information Bottleneck. | Zifeng Wang, Shao-Lun Huang, Ercan Engin Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng |
| 2022 | IJCNN | FedPer++: Toward Improved Personalized Federated Learning on Heterogeneous and Imbalanced Data. | Jian Xu, Yi Yan, Shao-Lun Huang |
| 2022 | ISIT | A Mathematical Framework to Characterize the Dependency Structures in Multimodal Learning with Minimax Principle. | Tianren Peng, Weida Wang, Shao-Lun Huang |
| 2022 | ITW | Communicating Type Classes Through Channels: An Information Geometric View. | Shao-Lun Huang |
| 2022 | ITW | An Information-theoretic Method for Collaborative Distributed Learning with Limited Communication. | Xinyi Tong, Jian Xu, Shao-Lun Huang |
| 2021 | CIKM | OTCMR: Bridging Heterogeneity Gap with Optimal Transport for Cross-modal Retrieval. | Mingyang Li, Shao-Lun Huang, Lin Zhang |
| 2021 | CVPR | OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations. | Yang Tan, Yang Li, Shao-Lun Huang |
| 2021 | ICASSP | Semi-Supervised Multimodal Image Translation for Missing Modality Imputation. | Wangbin Sun, Fei Ma, Yang Li, Shao-Lun Huang, Shiguang Ni, Lin Zhang |
| 2021 | ICCAD | 2021 CAD Contest Problem A: Functional ECO with Behavioral Change Guidance Invited Paper. | Yen-Chun Fang, Shao-Lun Huang, Chi-An Wu, Chung-Han Chou, Chih-Jen Hsu, WoeiTzy Jong, Kei-Yong Khoo |
| 2021 | ICONIP | Dual Feature Distributional Regularization for Defending Against Adversarial Attacks. | Mingyang Li, Xiangxiang Xu, Shao-Lun Huang, Lin Zhang |
| 2021 | INFOCOM | Live Gradient Compensation for Evading Stragglers in Distributed Learning. | Jian Xu, Shao-Lun Huang, Linqi Song, Tian Lan |
| 2021 | ICTAI | Enhancing Neural Network Based Hybrid Learning with Empirical Wavelet Transform for Time Series Forecasting. | Bunchalit Eua-Arporn, Shao-Lun Huang, Ercan Engin Kuruoglu |
| 2021 | ISIT | An Information Theoretic Framework for Distributed Learning Algorithms. | Xiangxiang Xu, Shao-Lun Huang |
| 2021 | ITW | Exact Recovery in the Balanced Stochastic Block Model with Side Information. | Jin Sima, Feng Zhao, Shao-Lun Huang |
| 2021 | ITW | On Distributed Hypothesis Testing with Constant-Bit Communication Constraints. | Xiangxiang Xu, Shao-Lun Huang |
| 2021 | ITW | On the Optimal Error Rate of Stochastic Block Model with Symmetric Side Information. | Feng Zhao, Jin Sima, Shao-Lun Huang |
| 2021 | MASS | DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning. | Guangfeng Yan, Shao-Lun Huang, Tian Lan, Linqi Song |
| 2021 | PAKDD | Lifelong Learning Based Disease Diagnosis on Clinical Notes. | Zifeng Wang, Yifan Yang, Rui Wen, Xi Chen, Shao-Lun Huang, Yefeng Zheng |
| 2021 | SMC | A Semi-supervised Learning Approach for Visual Question Answering based on Maximal Correlation. | Sikai Yin, Fei Ma, Shao-Lun Huang |
| 2021 | WWW | Online Disease Diagnosis with Inductive Heterogeneous Graph Convolutional Networks. | Zifeng Wang, Rui Wen, Xi Chen, Shilei Cao, Shao-Lun Huang, Buyue Qian, Yefeng Zheng |
| 2020 | AAAI | Less Is Better: Unweighted Data Subsampling via Influence Function. | Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang |
| 2020 | ICIP | Semantically Supervised Maximal Correlation For Cross-Modal Retrieval. | Mingyang Li, Yang Li, Shao-Lun Huang, Lin Zhang |
| 2020 | ICPR | Person Recognition with HGR Maximal Correlation on Multimodal Data. | Yihua Liang, Fei Ma, Yang Li, Shao-Lun Huang |
| 2020 | ISIT | On the Sample Complexity of Estimating Small Singular Modes. | Xiangxiang Xu, Weida Wang, Shao-Lun Huang |
| 2020 | ISIT | A Local Characterization for Wyner Common Information. | Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng, Gregory W. Wornell |
| 2020 | SERVICES | Reproducing Scientific Experiment with Cloud DevOps. | Feng Zhao, Xingzhi Niu, Shao-Lun Huang, Lin Zhang |
| 2019 | AAAI | An Efficient Approach to Informative Feature Extraction from Multimodal Data. | Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang |
| 2019 | ICIP | An Information-Theoretic Approach to Transferability in Task Transfer Learning. | Yajie Bao, Yang Li, Shao-Lun Huang, Lin Zhang, Lizhong Zheng, Amir Zamir, Leonidas J. Guibas |
| 2019 | ICONIP | Info-Detection: An Information-Theoretic Approach to Detect Outlier. | Feng Zhao, Fei Ma, Yang Li, Shao-Lun Huang, Lin Zhang |
| 2019 | ISIT | On the Robustness of Noisy ACE Algorithm and Multi-Layer Residual Learning. | Shao-Lun Huang, Xiangxiang Xu |
| 2019 | ISIT | An Information Theoretic Interpretation to Deep Neural Networks. | Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng, Gregory W. Wornell |
| 2019 | ITW | On The Sample Complexity of HGR Maximal Correlation Functions. | Shao-Lun Huang, Xiangxiang Xu |
| 2019 | SENSYS | Anomaly detection in surface mount technology process using multi-modal data: poster abstract. | Mingyang Li, Hanling Wang, Yue Zhang, Shao-Lun Huang, Lin Zhang |
| 2018 | ITW | The Geometric Structure of Generalized Softmax Learning. | Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng, Lin Zhang |
| 2018 | ITW | Gaussian Universal Features, Canonical Correlations, and Common Information. | Shao-Lun Huang, Gregory W. Wornell, Lizhong Zheng |
| 2018 | Mobiquitous | Joint Mobility Pattern Mining with Urban Region Partitions. | Jing Lian, Yang Li, Weixi Gu, Shao-Lun Huang, Lin Zhang |
| 2018 | SENSYS | Attention-based LSTM-CNNs For Time-series Classification. | Qianjin Du, Weixi Gu, Lin Zhang, Shao-Lun Huang |
| 2018 | SENSYS | Speech Emotion Recognition via Attention-based DNN from Multi-Task Learning. | Fei Ma, Weixi Gu, Wei Zhang, Shiguang Ni, Shao-Lun Huang, Lin Zhang |
| 2018 | SENSYS | Multimodal Emotion Recognition by extracting common and modality-specific information. | Wei Zhang, Weixi Gu, Fei Ma, Shiguang Ni, Lin Zhang, Shao-Lun Huang |
| 2017 | ISIT | An information-theoretic approach to universal feature selection in high-dimensional inference. | Shao-Lun Huang, Anuran Makur, Lizhong Zheng, Gregory W. Wornell |
| 2017 | ITW | An information-theoretic approach to unsupervised feature selection for high-dimensional data. | Shao-Lun Huang, Lin Zhang, Lizhong Zheng |
| 2016 | ISIT | Data extraction via histogram and arithmetic mean queries: Fundamental limits and algorithms. | I-Hsiang Wang, Shao-Lun Huang, Kuan-Yun Lee, Kwang-Cheng Chen |
| 2015 | ISIT | A spectrum decomposition to the feature spaces and the application to big data analytics. | Shao-Lun Huang, Lizhong Zheng |
| 2014 | VTC | Green Traffic Compression in Wireless Sensor Networks. | Kang-Hao Peng, Kwang-Cheng Chen, Shao-Lun Huang, Shao-Chou Hung, Xinhao Cheng |
| 2013 | ISIT | Euclidean information theory of networks. | Shao-Lun Huang, Changho Suh, Lizhong Zheng |
| 2012 | ISIT | Linear information coupling problems. | Shao-Lun Huang, Lizhong Zheng |
| 2012 | ITW | Proof of the outage probability conjecture for MISO channels. | Emmanuel Abbe, Shao-Lun Huang, Emre Telatar |
| 2011 | ASPDAC | A robust ECO engine by resource-constraint-aware technology mapping and incremental routing optimization. | Shao-Lun Huang, Chi-An Wu, Kai-Fu Tang, Chang-Hong Hsu, Chung-Yang Huang |
| 2011 | ICCAD | Match and replace - A functional ECO engine for multi-error circuit rectification. | Shao-Lun Huang, Wei-Hsun Lin, Chung-Yang (Ric) Huang |
| 2009 | ASPDAC | SAT-controlled redundancy addition and removal: a novel circuit restructuring technique. | Chi-An Wu, Ting-Hao Lin, Shao-Lun Huang, Chung-Yang Huang |
| 2009 | ICCAD | Interpolant generation without constructing resolution graph. | Chih-Jen Hsu, Shao-Lun Huang, Chi-An Wu, Chung-Yang Huang |