Xiaowei Huang

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 51

Top Topics

Reinforcement Learning

Maximum Power Point Tracking

Semantic Segmentation

Top Venues

Publications

Benjamin Rise, Murat Uney, Xiaowei Huang
Two-Stage Transfer Learning for Fusion and Classification of Airborne Hyperspectral Imagery. ICASSP (2024)
Xiaowei Huang, Jingquan Luo, Lvzhou Li
Quantum speedup and limitations on matroid property problems. Frontiers Comput. Sci. 18 (4) (2024)
Tiehua Zhang, Yuze Liu, Zhishu Shen, Rui Xu, Xin Chen, Xiaowei Huang, Xi Zheng
An Adaptive Federated Relevance Framework for Spatial-Temporal Graph Learning. IEEE Trans. Artif. Intell. 5 (5) (2024)
Xiaowei Huang, Fabin Guo, Long Chen
A RES-GANomaly Method for Machine Sound Anomaly Detection. IEEE Access 12 (2024)
Xiaowei Huang, Shihao Zhang, Lvzhou Li
Quantum algorithms for learning hidden strings with applications to matroid problems. Theor. Comput. Sci. 981 (2024)
Xiaowei Huang, Jingquan Luo, Lvzhou Li
Quantum speedup and limitations on matroid property problems. Frontiers Comput. Sci. 18 (4) (2024)
Zihan Ye, Shreyank N. Gowda, Xiaobo Jin, Xiaowei Huang, Haotian Xu, Yaochu Jin, Kaizhu Huang
Exploring Data Efficiency in Zero-Shot Learning with Diffusion Models. CoRR (2024)
Yi Dong, Ronghui Mu, Gaojie Jin, Yi Qi, Jinwei Hu, Xingyu Zhao, Jie Meng, Wenjie Ruan, Xiaowei Huang
Building Guardrails for Large Language Models. CoRR (2024)
Yuze Liu, Ziming Zhao, Tiehua Zhang, Kang Wang, Xin Chen, Xiaowei Huang, Jun Yin, Zhishu Shen
Exploiting Spatial-Temporal Data for Sleep Stage Classification via Hypergraph Learning. ICASSP (2024)
Xiaowei Huang, Shiguang Feng, Lvzhou Li
Quantum and classical query complexities for determining connectedness of matroids. CoRR (2023)
Gaojie Jin, Xinping Yi, Dengyu Wu, Ronghui Mu, Xiaowei Huang
Randomized Adversarial Training via Taylor Expansion. CVPR (2023)
Tiehua Zhang, Yuze Liu, Zhishu Shen, Xingjun Ma, Xin Chen, Xiaowei Huang, Jun Yin, Jiong Jin
Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs. CoRR (2023)
Xiaowei Huang, Huangqing Xiao, Ying Huang, Tao Liu, Ping Yang
Black Start Strategy of DRU-Based Low-Frequency AC Transmission System for Offshore Wind Power Integration. IAS (2023)
Tiehua Zhang, Rui Xu, Jianping Zhang, Yuzhe Tian, Xin Chen, Xiaowei Huang, Jun Yin, Xi Zheng
DSHGT: Dual-Supervisors Heterogeneous Graph Transformer - A pioneer study of using heterogeneous graph learning for detecting software vulnerabilities. CoRR (2023)
Wangyu Wu, Tianhong Dai, Xiaowei Huang, Fei Ma, Jimin Xiao
Image Augmentation with Controlled Diffusion for Weakly-Supervised Semantic Segmentation. CoRR (2023)
Ronghui Mu, Leandro Soriano Marcolino, Tianle Zhang, Yanghao Zhang, Xiaowei Huang, Wenjie Ruan
Reward Certification for Policy Smoothed Reinforcement Learning. CoRR (2023)
Saddek Bensalem, Chih-Hong Cheng, Wei Huang, Xiaowei Huang, Changshun Wu, Xingyu Zhao
What, Indeed, is an Achievable Provable Guarantee for Learning-Enabled Safety Critical Systems. CoRR (2023)
Xiangyu Yin, Sihao Wu, Jiaxu Liu, Meng Fang, Xingyu Zhao, Xiaowei Huang, Wenjie Ruan
ReRoGCRL: Representation-based Robustness in Goal-Conditioned Reinforcement Learning. CoRR (2023)
Saddek Bensalem, Chih-Hong Cheng, Wei Huang, Xiaowei Huang, Changshun Wu, Xingyu Zhao
What, Indeed, is an Achievable Provable Guarantee for Learning-Enabled Safety-Critical Systems. AISoLA (2023)
Anxu Wang, Fuqi Jing, Xiaowei Huang, Chengye Gong, Shu Xu
Structure Keeping Control for Heterogeneous Formations Based on Consistency Theory and Graph Theory. ICMRE (2023)
Wangyu Wu, Tianhong Dai, Xiaowei Huang, Fei Ma, Jimin Xiao
Top-K Pooling with Patch Contrastive Learning for Weakly-Supervised Semantic Segmentation. CoRR (2023)
Jinyong Wang, Zhiqiu Huang, Xiaowei Huang, Tiexin Wang, Guohua Shen, Jian Xie
An accident prediction architecture based on spatio-clock stochastic and hybrid model for autonomous driving safety. Concurr. Comput. Pract. Exp. 35 (17) (2023)
Yuze Liu, Ziming Zhao, Tiehua Zhang, Kang Wang, Xin Chen, Xiaowei Huang, Jun Yin, Zhishu Shen
Exploiting Spatial-temporal Data for Sleep Stage Classification via Hypergraph Learning. CoRR (2023)
Huangqing Xiao, Hongliang He, Huichen Gan, Xiaowei Huang, Leisi Dai, Jun Wang
An Arm Inductance Variation Identification Method for Modular Multilevel Converters. IAS (2023)
Fu Wang, Peipei Xu, Wenjie Ruan, Xiaowei Huang
Towards Verifying the Geometric Robustness of Large-Scale Neural Networks. AAAI (2023)
Xiaowei Huang, Wenjie Ruan, Wei Huang, Gaojie Jin, Yi Dong, Changshun Wu, Saddek Bensalem, Ronghui Mu, Yi Qi, Xingyu Zhao, Kaiwen Cai, Yanghao Zhang, Sihao Wu, Peipei Xu, Dengyu Wu, André Freitas, Mustafa A. Mustafa
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation. CoRR (2023)
Xiaowei Huang, Pengjiang Qian
GAN for Blind Image Deblurring Based on Latent Image Extraction and Blur Kernel Estimation. ICIC (5) (2023)
Saddek Bensalem, Panagiotis Katsaros, Dejan Nickovic, Brian Hsuan-Cheng Liao, Ricardo Ruiz Nolasco, Mohamed Abd El Salam Ahmed, Tewodros A. Beyene, Filip Cano, Antoine Delacourt, Hasan Esen, Alexandru Forrai, Weicheng He, Xiaowei Huang, Nikolaos Kekatos, Bettina Könighofer, Michael Paulitsch, Doron Peled, Matthieu Ponchant, Lev Sorokin, Son Tong, Changshun Wu
Continuous Engineering for Trustworthy Learning-Enabled Autonomous Systems. AISoLA (2023)
Gaojie Jin, Xinping Yi, Dengyu Wu, Ronghui Mu, Xiaowei Huang
Randomized Adversarial Training via Taylor Expansion. CoRR (2023)
Dengyu Wu, Gaojie Jin, Han Yu, Xinping Yi, Xiaowei Huang
Optimising Event-Driven Spiking Neural Network with Regularisation and Cutoff. CoRR (2023)
Wei Huang, Xingyu Zhao, Gaojie Jin, Xiaowei Huang
SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability. ICCV (2023)
Kaiwen Cai, Chris Xiaoxuan Lu, Xiaowei Huang
STUN: Self-Teaching Uncertainty Estimation for Place Recognition. IROS (2022)
Tiehua Zhang, Yuze Liu, Zhishu Shen, Rui Xu, Xin Chen, Xiaowei Huang, Xi Zheng
FedRel: An Adaptive Federated Relevance Framework for Spatial Temporal Graph Learning. CoRR (2022)
Yanda Meng, Joshua Bridge, Meng Wei, Yitian Zhao, Yihong Qiao, Xiaoyun Yang, Xiaowei Huang, Yalin Zheng
Counting with Adaptive Auxiliary Learning. CoRR (2022)
Ganlin Liu, Xiaowei Huang, Xinping Yi
Adversarial Label Poisoning Attack on Graph Neural Networks via Label Propagation. ECCV (5) (2022)
Gaojie Jin, Xinping Yi, Pengfei Yang, Lijun Zhang, Sven Schewe, Xiaowei Huang
Weight Expansion: A New Perspective on Dropout and Generalization. CoRR (2022)
Saddek Bensalem, Chih-Hong Cheng, Xiaowei Huang, Panagiotis Katsaros, Adam Molin, Dejan Nickovic, Doron Peled
Formal Specification for Learning-Enabled Autonomous Systems. NSV/FoMLAS@CAV (2022)
Kaiwen Cai, Chris Xiaoxuan Lu, Xiaowei Huang
Exploring Cross-Point Embeddings for 3D Dense Uncertainty Estimation. CoRR (2022)
Kaiwen Cai, Chris Xiaoxuan Lu, Xiaowei Huang
STUN: Self-Teaching Uncertainty Estimation for Place Recognition. CoRR (2022)
Tiehua Zhang, Yuze Liu, Yao Yao, Youhua Xia, Xin Chen, Xiaowei Huang, Jiong Jin
Towards Relation-centered Pooling and Convolution for Heterogeneous Graph Learning Networks. CoRR (2022)
Yu Chen, Shuang Wang, Yi Hao, Kai Yao, Hanzhi Li, Feng Jia, Dongli Yue, Qingyun Shi, Yonghong Cheng, Xiaowei Huang
Temperature Monitoring for 500 kV Oil-Filled Submarine Cable Based on BOTDA Distributed Optical Fiber Sensing Technology: Method and Application. IEEE Trans. Instrum. Meas. 71 (2022)
Yedan Shen, Xiaowei Huang, Buzhou Tang, Xiaolong Wang, Qingcai Chen, Yuan Ni
A Deep Transfer Learning Method for Medical Question Matching. ICHI (2021)
Yikang Chen, Xiaojun Li, Chi Cai, Cong Wu, Weijia Zhang, Xiaowei Huang, Qiang Guo, Daoyu Jiang
Submarine Cable Detection Method Based on Multisensor Communication. J. Sensors 2021 (2021)
Tiehua Zhang, Yuze Liu, Xin Chen, Xiaowei Huang, Feng Zhu, Xi Zheng
GPS: A Policy-driven Sampling Approach for Graph Representation Learning. CoRR (2021)
Xiaoming Yu, Yedan Shen, Yuan Ni, Xiaowei Huang, Xiaolong Wang, Qingcai Chen, Buzhou Tang
CapsTM: capsule network for Chinese medical text matching. BMC Medical Informatics Decis. Mak. (2) (2021)
Weizhu Qian, Bowei Chen, Xiaowei Huang
Learning Robust Variational Information Bottleneck with Reference. CoRR (2021)
Chengqiang Huang, Hu Zheng, Xiaowei Huang, Ke Pei
Statistical Certification of Acceptable Robustness for Neural Networks. ICANN (1) (2021)
Kangshi Wang, Dou Hong, Jieming Ma, Ka Lok Man, Kaizhu Huang, Xiaowei Huang
Maximum Power Point Tracking of Photovoltaic Systems Using Deep Q-networks. INDIN (2020)
Nahid Juma, Xiaowei Huang, Mahesh Tripunitara
Forensic Analysis in Access Control: Foundations and a Case-Study from Practice. CCS (2020)
Songqing Mei, Xiaowei Huang, Chengshu Xie, Antonio Mora
GREG - studying transcriptional regulation using integrative graph databases. Database J. Biol. Databases Curation 2020 (2020)
Shuai Chen, Yuanhang Huang, Xiaowei Huang, Haoming Qin, Jun Yan, Buzhou Tang
HITSZ-ICRC: A Report for SMM4H Shared Task 2019-Automatic Classification and Extraction of Adverse Effect Mentions in Tweets. SMM4H@ACL (2019)
Yanxiao Li, Xiaobo Zou, Xiaowei Huang, Jiyong Shi, Jiewen Zhao
A gas sensor based on natural dye-sensitized TiO2 thin film for pork-borne amines monitor. NEMS (2014)
Xiaowei Huang, Li Jiao, Weiming Lu
A Semantic Preorder on Refinement and Fairness. TASE (2007)