Yaxin Shi

29 papers A* 3A 1B 4Journal 18Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
A review of deep learning based anomaly detection.
Neurocomputing
Yaxin Shi, Guang Yang, Xiao Wang, Qianqian Yu, Ying Feng, Ang Liu
2026 A* conf
GenMatLab: A Generative Platform for Inverse Materials Design.
AAAI
Hangwei Qian, Yang He, Yaxin Shi, Ivor W. Tsang
2025 J jnl
A review of time series forecasting and spatio-temporal series forecasting in deep learning.
J. Supercomput.
Qianqian Yu, Guang Yang, Xiao Wang, Yaxin Shi, Ying Feng, Ang Liu
2025 J jnl
Evolutionary Computation as Natural Generative AI.
CoRR
Yaxin Shi, Abhishek Gupta, Ying Wu, Melvin Wong, Ivor W. Tsang, Thiago Rios, Stefan Menzel, Bernhard Sendhoff, Yaqing Hou, Yew-Soon Ong
2025 A* conf
Grounding Open-Domain Knowledge from LLMs to Real-World Reinforcement Learning Tasks: A Survey.
IJCAI
Haiyan Yin, Hangwei Qian, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong
2025 J jnl
Uncover and Unlearn Nuisances: Agnostic Fully Test-Time Adaptation.
CoRR
Ponhvoan Srey, Yaxin Shi, Hangwei Qian, Jing Li, Ivor W. Tsang
2025 J jnl
Uncover and unlearn nuisances: agnostic fully test-time adaptation.
Mach. Learn.
Ponhvoan Srey, Yaxin Shi, Hangwei Qian, Jing Li, Ivor W. Tsang
2024 J jnl
On r-hued coloring of connected P5-free tripartite graphs.
Appl. Math. Comput.
Yaxin Shi, Fengxia Liu, Hong-Jian Lai
2024 J jnl
Service Time and Pricing Decisions in Online Retailing with Drop-Shipping and Guaranteed Service Framework.
Asia Pac. J. Oper. Res.
Linjing Zhang, Yi Ding, Yaxin Shi
2023 J jnl
Incentive-Based Federated Learning for Digital-Twin-Driven Industrial Mobile Crowdsensing.
IEEE Internet Things J.
Beibei Li, Yaxin Shi, Qinglei Kong, Qingyun Du, Rongxing Lu
2023 J jnl
Relational Fisher Analysis: Dimensionality Reduction in Relational Data with Global Convergence.
Algorithms
Li-Na Wang, Guoqiang Zhong, Yaxin Shi, Mohamed Cheriet
2023 J jnl
UTSGAN: Unseen Transition Suss GAN for Transition-Aware Image-to-image Translation.
CoRR
Yaxin Shi, Xiaowei Zhou, Ping Liu, Ivor W. Tsang
2022 — conf
Incentive and Knowledge Distillation Based Federated Learning for Cross-Silo Applications.
INFOCOM Workshops
Beibei Li, Yaxin Shi, Yuqing Guo, Qinglei Kong, Yukun Jiang
2021 J jnl
Generative Transition Mechanism to Image-to-Image Translation via Encoded Transformation.
CoRR
Yaxin Shi, Xiaowei Zhou, Ping Liu, Ivor W. Tsang
2021 B conf
Honeypot-Enabled Optimal Defense Strategy Selection for Smart Grids.
GLOBECOM
Beibei Li, Yaxin Shi, Qinglei Kong, Chao Zhai, Yuankai Ouyang
2021 — —
Revisiting Data Representation Learning, Generation and Translation from A Consistency Perspective
Yaxin Shi
2020 J jnl
Anti-Honeypot Enabled Optimal Attack Strategy for Industrial Cyber-Physical Systems.
IEEE Open J. Comput. Soc.
Beibei Li, Yue Xiao, Yaxin Shi, Qinglei Kong, Yuhao Wu, Haiyong Bao
2020 B conf
Infrared Target Detection Using Intensity Saliency And Self-Attention.
ICIP
Ruiheng Zhang, Min Xu, Yaxin Shi, Jian Fan, Chengpo Mu, Lixin Xu
2020 J jnl
Multi-view Alignment and Generation in CCA via Consistent Latent Encoding.
CoRR
Yaxin Shi, Yuangang Pan, Donna Xu, Ivor W. Tsang
2020 J jnl
Multiview Alignment and Generation in CCA via Consistent Latent Encoding.
Neural Comput.
Yaxin Shi, Yuangang Pan, Donna Xu, Ivor W. Tsang
2020 B conf
ReAL: A New ResNet-ALSTM Based Intrusion Detection System for the Internet of Energy.
LCN
Jiarui Song, Beibei Li, Yuhao Wu, Yaxin Shi, Aohan Li
2020 J jnl
Survey on Multi-Output Learning.
IEEE Trans. Neural Networks Learn. Syst.
Donna Xu, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong, Chen Gong, Xiaobo Shen
2019 J jnl
A Survey on Multi-output Learning.
CoRR
Donna Xu, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong, Chen Gong, Xiaobo Shen
2019 A* conf
Label Embedding with Partial Heterogeneous Contexts.
AAAI
Yaxin Shi, Donna Xu, Yuangang Pan, Ivor W. Tsang, Shirui Pan
2019 J jnl
Probabilistic CCA with Implicit Distributions.
CoRR
Yaxin Shi, Yuangang Pan, Donna Xu, Ivor W. Tsang
2018 J jnl
Multi-Context Label Embedding.
CoRR
Yaxin Shi, Donna Xu, Yuangang Pan, Ivor W. Tsang
2016 B conf
Relational Fisher Analysis: A general framework for dimensionality reduction.
IJCNN
Guoqiang Zhong, Yaxin Shi, Mohamed Cheriet
2015 — conf
3D Texture Recognition for RGB-D Images.
CAIP (2)
Guoqiang Zhong, Xin Mao, Yaxin Shi, Junyu Dong
2015 A conf
Stretching deep architectures for text recognition.
ICDAR
Yuchen Zheng, Yajuan Cai, Guoqiang Zhong, Youssouf Chherawala, Yaxin Shi, Junyu Dong