Xing Gao

According to our database, Xing Gao authored at least 16 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

CSTA: Spatial-Temporal Causal Adaptive Learning for Exemplar-Free Video Class-Incremental Learning.

Tieyuan Chen, Huabin Liu, Chern Hong Lim, John See, Xing Gao, Junhui Hou, Weiyao Lin

CoRR, January, 2025

2024

OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous Driving.

Guohang Yan, Jiahao Pi, Jianfei Guo, Zhaotong Luo, Min Dou, Nianchen Deng, Qiusheng Huang, Daocheng Fu, Licheng Wen, Pinlong Cai, Xing Gao, Xinyu Cai, Bo Zhang, Xuemeng Yang, Yeqi Bai, Hongbin Zhou, Botian Shi

CoRR, 2024

Realistic Rainy Weather Simulation for LiDARs in CARLA Simulator.

Donglin Yang, Xinyu Cai, Zhenfeng Liu, Wentao Jiang, Bo Zhang, Guohang Yan, Xing Gao, Si Liu, Botian Shi

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023

Dynamic Scenario Representation Learning for Motion Forecasting With Heterogeneous Graph Convolutional Recurrent Networks.

Xing Gao, Xiaogang Jia, Yikang Li, Hongkai Xiong

IEEE Robotics Autom. Lett., May, 2023

Realistic Rainy Weather Simulation for LiDARs in CARLA Simulator.

Donglin Yang, Zhenfeng Liu, Wentao Jiang, Guohang Yan, Xing Gao, Botian Shi, Si Liu, Xinyu Cai

CoRR, 2023

Towards Knowledge-driven Autonomous Driving.

Xin Li, Yeqi Bai, Pinlong Cai, Licheng Wen, Daocheng Fu, Bo Zhang, Xuemeng Yang, Xinyu Cai, Tao Ma, Jianfei Guo, Xing Gao, Min Dou, Yikang Li, Botian Shi, Yong Liu, Liang He, Yu Qiao

CoRR, 2023

2022

iPool - Information-Based Pooling in Hierarchical Graph Neural Networks.

Xing Gao, Wenrui Dai, Chenglin Li, Hongkai Xiong, Pascal Frossard

IEEE Trans. Neural Networks Learn. Syst., 2022

2021

Multiscale Representation Learning of Graph Data With Node Affinity.

Xing Gao, Wenrui Dai, Chenglin Li, Hongkai Xiong, Pascal Frossard

IEEE Trans. Signal Inf. Process. over Networks, 2021

Message Passing in Graph Convolution Networks via Adaptive Filter Banks.

Xing Gao, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, Pascal Frossard

CoRR, 2021

2020

Graph Pooling with Node Proximity for Hierarchical Representation Learning.

Xing Gao, Wenrui Dai, Chenglin Li, Hongkai Xiong, Pascal Frossard

CoRR, 2020

Spatial-Temporal Transformer Networks for Traffic Flow Forecasting.

Mingxing Xu, Wenrui Dai, Chunmiao Liu, Xing Gao, Weiyao Lin, Guo-Jun Qi, Hongkai Xiong

CoRR, 2020

2019

iPool - Information-based Pooling in Hierarchical Graph Neural Networks.

Xing Gao, Hongkai Xiong, Pascal Frossard

CoRR, 2019

2018

Structurally Constrained Correlation Transfer for Zero-shot Learning.

Yu Chen, Yuehan Xiong, Xing Gao, Hongkai Xiong

Proceedings of the IEEE Visual Communications and Image Processing, 2018

Unsupervised Representation Learning with Prior-Free and Adversarial Mechanism Embedded Autoencoders.

Xing Gao, Hongkai Xiong

Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Structured Semantic Representation for Visual Question Answering.

Dongchen Yu, Xing Gao, Hongkai Xiong

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2016

A hybrid wavelet convolution network with sparse-coding for image super-resolution.

Xing Gao, Hongkai Xiong

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016