Kaixin Gao

14 papers A* 2B 1C 1Journal 10
YearRankTypeTitle / Venue / Authors
2025 A* conf
EfficientPIE: Real-Time Prediction on Pedestrian Crossing Intention with Sole Observation.
IJCAI
Fang Qu, Pengzhan Zhou, Yuepeng He, Kaixin Gao, Youyu Luo, Xin Feng, Yu Liu, Songtao Guo
2025 J jnl
Existence theorems of generalized K-lateral support equilibria via local cooperative strategies for multi-player pure strategy games in tensor form.
J. Comput. Appl. Math.
Chenli Xu, Kaixin Gao, Zheng-Hai Huang
2025 J jnl
Tensor Robust Principal Component Analysis Based on a Two-Layer Tucker Rank Minimization Model.
SIAM J. Imaging Sci.
Kaixin Gao, Zheng-Hai Huang, Yang Xu
2025 B conf
uFedMBA: Unforgotten Personalized Federated Learning with Memory Bank for Adaptively Aggregated Layers.
SMC
Yijun Zhai, Pengzhan Zhou, Yuepeng He, Kaixin Gao, Fang Qu, Ziyi Li, Li Gao, Youyu Luo
2024 A* conf
A Layer-Wise Natural Gradient Optimizer for Training Deep Neural Networks.
NeurIPS
Xiaolei Liu, Shaoshuai Li, Kaixin Gao, Binfeng Wang
2024 J jnl
FedAH: Aggregated Head for Personalized Federated Learning.
CoRR
Pengzhan Zhou, Yuepeng He, Yijun Zhai, Kaixin Gao, Chao Chen, Zhida Qin, Chong Zhang, Songtao Guo
2024 J jnl
Incremental quaternion singular value decomposition and its application for low rank quaternion matrix completion.
Comput. Appl. Math.
Yang Xu, Kaixin Gao
2024 J jnl
Low-rank matrix recovery problem minimizing a new ratio of two norms approximating the rank function then using an ADMM-type solver with applications.
J. Comput. Appl. Math.
Kaixin Gao, Zheng-Hai Huang, Lulu Guo
2023 J jnl
Low rank tensor recovery by schatten capped
Neurocomputing
Lulu Guo, Kaixin Gao, Zheng-Hai Huang
2023 J jnl
Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation.
ACM Trans. Inf. Syst.
Naicheng Guo, Xiaolei Liu, Shaoshuai Li, Qiongxu Ma, Kaixin Gao, Bing Han, Lin Zheng, Sheng Guo, Xiaobo Guo
2023 J jnl
Tensor Robust Principal Component Analysis via Tensor Fibered Rank and \({\boldsymbol{{l_p}}}\) Minimization.
SIAM J. Imaging Sci.
Kaixin Gao, Zheng-Hai Huang
2022 J jnl
Development of a core feature identification application based on the Faster R-CNN algorithm.
Eng. Appl. Artif. Intell.
Quan Jiang, Mingtao Jia, Bi Lin, Zheng Zhuang, Kaixin Gao
2022 C conf
Low Rank and Semi-Nonnegative Tensor Factorization for Hyperspectral Imagery Denoising.
IGARSS
Aihong Yuan, Junchao Yu, Xiaoyi Zuo, Kaixin Gao, Mengbo You
2019 J jnl
Development of Virtual Reality Serious Game for Underground Rock-Related Hazards Safety Training.
IEEE Access
Zhipeng Liang, Keping Zhou, Kaixin Gao
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski