| 2026 | ACL | HumanLLM: Benchmarking and Improving LLM Anthropomorphism via Human Cognitive Patterns. | Xintao Wang, Jian Yang, Weiyuan Li, Rui Xie, Jen-tse Huang, Jun Gao, Shuai Huang, Yueping Kang, Yuanli Guo, Hongwei Feng, Yanghua Xiao |
| 2025 | CVPR | SmartHome-Bench: A Comprehensive Benchmark for Video Anomaly Detection in Smart Homes Using Multi-Modal Large Language Models. | Xinyi Zhao, Congjing Zhang, Pei Guo, Wei Li, Lin Chen, Chaoyue Zhao, Shuai Huang |
| 2025 | ICASSP | SSAAD: A Multi-Scale Temporal-Frequency Graph Network for Binary Auditory Attention Detection with Self-Supervised Learning. | Shuai Huang, Yongxiong Wang, Huan Luo, Shuwen Jia, Han Chen, Chendong Qin, Zhongcai He, Rui Luo |
| 2025 | ICASSP | SVTNet: Dual Branch of Swin Transformer and Vision Transformer for Monocular Depth Estimation. | Shuwen Jia, Yongxiong Wang, Han Chen, Shuai Huang |
| 2025 | ICDE | FedRoad: Secure and Efficient Road Network Queries over Traffic Data Federation. | Shuai Huang, Guoliang Li, Wei Zhou |
| 2025 | MICCAI | Head-and-Neck PET/CT Lesion Segmentation via SSIMH and SegResNet. | Shuai Huang, Yuqi Cheng, Shilin Yu, Hongtu Zhu |
| 2024 | ISPA | Dependency-aware Task Offloading and Resource Pricing in Vehicular Edge Computing: A Stackelberg Game Approach. | Liang Zhao, Shuai Huang, Yuxiang Cao, Huan Zhou, Victor C. M. Leung |
| 2024 | IWQoS | Game-Theoretic Dependent Task Offloading and Resource Pricing in Vehicular Edge Computing. | Liang Zhao, Shuai Huang, Huan Zhou, Zilong Bai, Victor C. M. Leung |
| 2023 | CVPR | Context De-Confounded Emotion Recognition. | Dingkang Yang, Zhaoyu Chen, Yuzheng Wang, Shunli Wang, Mingcheng Li, Siao Liu, Xiao Zhao, Shuai Huang, Zhiyan Dong, Peng Zhai, Lihua Zhang |
| 2023 | DASFAA | ACR-Tree: Constructing R-Trees Using Deep Reinforcement Learning. | Shuai Huang, Yong Wang, Guoliang Li |
| 2023 | ICCV | AIDE: A Vision-Driven Multi-View, Multi-Modal, Multi-Tasking Dataset for Assistive Driving Perception. | Dingkang Yang, Shuai Huang, Zhi Xu, Zhenpeng Li, Shunli Wang, Mingcheng Li, Yuzheng Wang, Yang Liu, Kun Yang, Zhaoyu Chen, Yan Wang, Jing Liu, Peixuan Zhang, Peng Zhai, Lihua Zhang |
| 2022 | AISTATS | VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition. | Randy Ardywibowo, Shahin Boluki, Zhangyang Wang, Bobak J. Mortazavi, Shuai Huang, Xiaoning Qian |
| 2022 | ECCV | Emotion Recognition for Multiple Context Awareness. | Dingkang Yang, Shuai Huang, Shunli Wang, Yang Liu, Peng Zhai, Liuzhen Su, Mingcheng Li, Lihua Zhang |
| 2022 | ICASSP | Dynimp: Dynamic Imputation for Wearable Sensing Data through Sensory and Temporal Relatedness. | Zepeng Huo, Taowei Ji, Yifei Liang, Shuai Huang, Zhangyang Wang, Xiaoning Qian, Bobak Mortazavi |
| 2022 | ICML | VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty. | Randy Ardywibowo, Zepeng Huo, Zhangyang Wang, Bobak J. Mortazavi, Shuai Huang, Xiaoning Qian |
| 2021 | ICASSP | Bayesian Massive MIMO Channel Estimation with Parameter Estimation Using Low-Resolution ADCs. | Shuai Huang, Deqiang Qiu, Trac D. Tran |
| 2021 | ICDE | A Learning-based Method for Computing Shortest Path Distances on Road Networks. | Shuai Huang, Yong Wang, Tianyu Zhao, Guoliang Li |
| 2021 | IROS | Multi-layer VI-GNSS Global Positioning Framework with Numerical Solution aided MAP Initialization. | Bing Han, Zhongyang Xiao, Shuai Huang, Tao Zhang |
| 2020 | AISTATS | Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery. | Zepeng Huo, Arash Pakbin, Xiaohan Chen, Nathan C. Hurley, Ye Yuan, Xiaoning Qian, Zhangyang Wang, Shuai Huang, Bobak Mortazavi |
| 2020 | ICASSP | 3D Unknown View Tomography Via Rotation Invariants. | Mona Zehni, Shuai Huang, Ivan Dokmanic, Zhizhen Zhao |
| 2020 | ICPR | GPSRL: Learning Semi-Parametric Bayesian Survival Rule Lists from Heterogeneous Patient Data. | Ameer Hamza Shakur, Xiaoning Qian, Zhangyang Wang, Bobak Mortazavi, Shuai Huang |
| 2019 | AISTATS | Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models. | Randy Ardywibowo, Guang Zhao, Zhangyang Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian |
| 2019 | ICASSP | Solving Complex Quadratic Equations with Full-rank Random Gaussian Matrices. | Shuai Huang, Sidharth Gupta, Ivan Dokmanic |
| 2019 | ICASSP | Geometric Invariants for Sparse Unknown View Tomography. | Mona Zehni, Shuai Huang, Ivan Dokmanic, Zhizhen Zhao |
| 2018 | AAAI | Predicting Depression Severity by Multi-Modal Feature Engineering and Fusion. | Aven Samareh, Yan Jin, Zhangyang Wang, Xiangyu Chang, Shuai Huang |
| 2018 | CHI | Eyes-Free Target Acquisition in Interaction Space around the Body for Virtual Reality. | Yukang Yan, Chun Yu, Xiaojuan Ma, Shuai Huang, Hasan Iqbal, Yuanchun Shi |
| 2018 | GLOBECOM | Mean and Variance of Received Signal in Diffusion-Based Mobile Molecular Communication. | Shuai Huang, Lin Lin, Hao Yan, Juan Xu, Fuqiang Liu |
| 2017 | ACII | Robust emotion recognition from low quality and low bit rate video: A deep learning approach. | Bowen Cheng, Zhangyang Wang, Zhaobin Zhang, Zhu Li, Ding Liu, Jianchao Yang, Shuai Huang, Thomas S. Huang |
| 2017 | APCC | Power-saving coercive sleep mode for machine type communications. | Shuai Huang, Gang Feng, Liang Liang, Shuang Qin |
| 2017 | BMVC | Transformed Anti-Sparse Hashing. | Zhangyang Wang, Ji Liu, Shuai Huang, Xinchao Wang, Shiyu Chang |
| 2017 | ICASSP | Sparse signal recovery using generalized approximate message passing with built-in parameter estimation. | Shuai Huang, Trac D. Tran |
| 2017 | IJCAI | Doubly Sparsifying Network. | Zhangyang Wang, Shuai Huang, Jiayu Zhou, Thomas S. Huang |
| 2017 | SDM | Pruning Decision Trees via Max-Heap Projection. | Zhi Nie, Binbin Lin, Shuai Huang, Naren Ramakrishnan, Wei Fan, Jieping Ye |
| 2016 | CVPR | On Benefits of Selection Diversity via Bilevel Exclusive Sparsity. | Haichuan Yang, Yijun Huang, Lam Tran, Ji Liu, Shuai Huang |
| 2016 | ICASSP | Low-rank matrices recovery via entropy function. | Dung N. Tran, Shuai Huang, Sang Peter Chin, Trac D. Tran |
| 2016 | ICIP | Dimensionality reduction for image classification via mutual information maximization. | Shuai Huang, Trac D. Tran |
| 2016 | ICIP | Sparse signal recovery based on nonconvex entropy minimization. | Shuai Huang, Dung N. Tran, Trac D. Tran |
| 2015 | AISTATS | A Scalable Algorithm for Structured Kernel Feature Selection. | Shaogang Ren, Shuai Huang, John A. Onofrey, Xenios Papademetris, Xiaoning Qian |
| 2015 | ICIP | Reranking of person re-identification by manifold-based approach. | Shuai Huang, Yun Gu, Jie Yang, Pengfei Shi |
| 2015 | SDM | Domain-Knowledge Driven Cognitive Degradation Modeling for Alzheimer's Disease. | Ying Lin, Kaibo Liu, Eunshin Byon, Xiaoning Qian, Shuai Huang |
| 2013 | ICASSP | Discriminative feature extraction for language identification. | Shuai Huang, Glen A. Coppersmith |
| 2013 | IGARSS | Validation of coarse-resolution Fractional Vegetation Cover product in Heihe basin, China. | Shuai Huang, Xihan Mu, Guangjian Yan |
| 2012 | DAC | Heterogeneous multi-channel: fine-grained DRAM control for both system performance and power efficiency. | Guangfei Zhang, Huandong Wang, Xinke Chen, Shuai Huang, Peng Li |
| 2012 | Interspeech | Constrained Maximum Mutual Information Dimensionality Reduction for Language Identification. | Shuai Huang, Glen A. Coppersmith, Damianos Karakos |
| 2011 | ASRU | Bootstrapping a spoken language identification system using unsupervised integrated sensing and processing decision trees. | Shuai Huang, Damianos Karakos, Glen A. Coppersmith, Kenneth Ward Church, Sabato Marco Siniscalchi |
| 2011 | KDD | Brain effective connectivity modeling for alzheimer's disease by sparse gaussian bayesian network. | Shuai Huang, Jing Li, Jieping Ye, Adam Fleisher, Kewei Chen, Teresa Wu, Eric Reiman |