A hybrid wavelet convolution network with sparse-coding for image super-resolution. - Xing Gao 005; Hongkai Xiong (ICIP, 2016)

Structured Semantic Representation for Visual Question Answering. - Dongchen Yu; Xing Gao 005; Hongkai Xiong (ICIP, 2018)

Unsupervised Representation Learning with Prior-Free and Adversarial Mechanism Embedded Autoencoders. - Xing Gao 005; Hongkai Xiong (ICME, 2018)

Structurally Constrained Correlation Transfer for Zero-shot Learning. - Yu Chen; Yuehan Xiong; Xing Gao 005; Hongkai Xiong (VCIP, 2018)

iPool - Information-based Pooling in Hierarchical Graph Neural Networks. - Xing Gao 005; Hongkai Xiong; Pascal Frossard (CoRR, 2019)

Spatial-Temporal Transformer Networks for Traffic Flow Forecasting. - Mingxing Xu; Wenrui Dai; Chunmiao Liu; Xing Gao 005; Weiyao Lin; Guo-Jun Qi; Hongkai Xiong (CoRR, 2020)

Graph Pooling with Node Proximity for Hierarchical Representation Learning. - Xing Gao 005; Wenrui Dai; Chenglin Li; Hongkai Xiong; Pascal Frossard (CoRR, 2020)

Message Passing in Graph Convolution Networks via Adaptive Filter Banks. - Xing Gao 005; Wenrui Dai; Chenglin Li; Junni Zou; Hongkai Xiong; Pascal Frossard (CoRR, 2021)

Multiscale Representation Learning of Graph Data With Node Affinity. - Xing Gao 005; Wenrui Dai; Chenglin Li; Hongkai Xiong; Pascal Frossard (IEEE Trans. Signal Inf. Process. over Networks, 2021)

iPool - Information-Based Pooling in Hierarchical Graph Neural Networks. - Xing Gao 005; Wenrui Dai; Chenglin Li; Hongkai Xiong; Pascal Frossard (IEEE Trans. Neural Networks Learn. Syst., 2022)

Towards Knowledge-driven Autonomous Driving. - Xin Li 110; Yeqi Bai; Pinlong Cai; Licheng Wen; Daocheng Fu; Bo Zhang 069; Xuemeng Yang; Xinyu Cai; Tao Ma 002; Jianfei Guo; Xing Gao 005; Min Dou; et al. (CoRR, 2023)

Realistic Rainy Weather Simulation for LiDARs in CARLA Simulator. - Donglin Yang; Zhenfeng Liu; Wentao Jiang; Guohang Yan; Xing Gao 005; Botian Shi; Si Liu 001; Xinyu Cai (CoRR, 2023)

Dynamic Scenario Representation Learning for Motion Forecasting With Heterogeneous Graph Convolutional Recurrent Networks. - Xing Gao 005; Xiaogang Jia; Yikang Li 002; Hongkai Xiong (IEEE Robotics Autom. Lett., 2023)

Realistic Rainy Weather Simulation for LiDARs in CARLA Simulator. - Donglin Yang; Xinyu Cai; Zhenfeng Liu; Wentao Jiang; Bo Zhang 069; Guohang Yan; Xing Gao 005; Si Liu 001; Botian Shi (IROS, 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 005; Xinyu Cai; et al. (CoRR, 2024)

CSTA: Spatial-Temporal Causal Adaptive Learning for Exemplar-Free Video Class-Incremental Learning. - Tieyuan Chen; Huabin Liu 001; Chern Hong Lim; John See; Xing Gao 005; Junhui Hou; Weiyao Lin (CoRR, 2025)

O2-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering. - Jianbiao Mei; Tao Hu; Daocheng Fu; Licheng Wen; Xuemeng Yang; Rong Wu; Pinlong Cai; Xinyu Cai; Xing Gao 005; Yu Yang; Chengjun Xie; Botian Shi; et al. (CoRR, 2025)