Xing Gao - RankMe

24 papers A* 1A 2B 2C 1Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CSTA: Spatial-Temporal Causal Adaptive Learning for Exemplar-Free Video Class-Incremental Learning. CoRR Tieyuan Chen, Huabin Liu, Chern Hong Lim, John See, Xing Gao, Junhui Hou, Weiyao Lin
2025	J	`jnl`	CSTA: Spatial-Temporal Causal Adaptive Learning for Exemplar-Free Video Class-Incremental Learning. IEEE Trans. Circuits Syst. Video Technol. Tieyuan Chen, Huabin Liu, Chern Hong Lim, John See, Xing Gao, Junhui Hou, Weiyao Lin
2025	J	`jnl`	GDPlan: Generative Network Planning via Graph Diffusion Model. IEEE Trans. Netw. Nuowen Kan, Sa Yan, Junni Zou, Wenrui Dai, Xing Gao, Chenglin Li, Hongkai Xiong
2025	J	`jnl`	O CoRR Jianbiao Mei, Tao Hu, Daocheng Fu, Licheng Wen, Xuemeng Yang, Rong Wu, Pinlong Cai, Xinyu Cai, Xing Gao, Yu Yang, Chengjun Xie, Botian Shi, Yong Liu, Yu Qiao
2025	J	`jnl`	ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting. CoRR Xing Gao, Zherui Huang, Weiyao Lin, Xiao Sun
2025	A*	`conf`	Safety-Critical Traffic Simulation with Adversarial Transfer of Driving Intentions. ICRA Zherui Huang, Xing Gao, Guanjie Zheng, Licheng Wen, Xuemeng Yang, Xiao Sun
2025	J	`jnl`	Safety-Critical Traffic Simulation with Adversarial Transfer of Driving Intentions. CoRR Zherui Huang, Xing Gao, Guanjie Zheng, Licheng Wen, Xuemeng Yang, Xiao Sun
2025	—	`conf`	SceneDM: Consistent Diffusion Models for Coherent Multi-agent Trajectory Generation. CASE Zhiming Guo, Xing Gao, Jianlan Zhou, Xinyu Cai, Xuemeng Yang, Licheng Wen, Xiao Sun
2024	J	`jnl`	OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous Driving. CoRR 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
2024	A	`conf`	Realistic Rainy Weather Simulation for LiDARs in CARLA Simulator. IROS Donglin Yang, Xinyu Cai, Zhenfeng Liu, Wentao Jiang, Bo Zhang, Guohang Yan, Xing Gao, Si Liu, Botian Shi
2023	J	`jnl`	Dynamic Scenario Representation Learning for Motion Forecasting With Heterogeneous Graph Convolutional Recurrent Networks. IEEE Robotics Autom. Lett. Xing Gao, Xiaogang Jia, Yikang Li, Hongkai Xiong
2023	J	`jnl`	Dynamic Scenario Representation Learning for Motion Forecasting with Heterogeneous Graph Convolutional Recurrent Networks. CoRR Xing Gao, Xiaogang Jia, Yikang Li, Hongkai Xiong
2023	J	`jnl`	Realistic Rainy Weather Simulation for LiDARs in CARLA Simulator. CoRR Donglin Yang, Zhenfeng Liu, Wentao Jiang, Guohang Yan, Xing Gao, Botian Shi, Si Liu, Xinyu Cai
2023	J	`jnl`	Towards Knowledge-driven Autonomous Driving. CoRR 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
2022	J	`jnl`	iPool - Information-Based Pooling in Hierarchical Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Xing Gao, Wenrui Dai, Chenglin Li, Hongkai Xiong, Pascal Frossard
2021	J	`jnl`	Message Passing in Graph Convolution Networks via Adaptive Filter Banks. CoRR Xing Gao, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong, Pascal Frossard
2021	J	`jnl`	Multiscale Representation Learning of Graph Data With Node Affinity. IEEE Trans. Signal Inf. Process. over Networks Xing Gao, Wenrui Dai, Chenglin Li, Hongkai Xiong, Pascal Frossard
2020	J	`jnl`	Graph Pooling with Node Proximity for Hierarchical Representation Learning. CoRR Xing Gao, Wenrui Dai, Chenglin Li, Hongkai Xiong, Pascal Frossard
2020	J	`jnl`	Spatial-Temporal Transformer Networks for Traffic Flow Forecasting. CoRR Mingxing Xu, Wenrui Dai, Chunmiao Liu, Xing Gao, Weiyao Lin, Guo-Jun Qi, Hongkai Xiong
2019	J	`jnl`	iPool - Information-based Pooling in Hierarchical Graph Neural Networks. CoRR Xing Gao, Hongkai Xiong, Pascal Frossard
2018	C	`conf`	Structurally Constrained Correlation Transfer for Zero-shot Learning. VCIP Yu Chen, Yuehan Xiong, Xing Gao, Hongkai Xiong
2018	B	`conf`	Structured Semantic Representation for Visual Question Answering. ICIP Dongchen Yu, Xing Gao, Hongkai Xiong
2018	A	`conf`	Unsupervised Representation Learning with Prior-Free and Adversarial Mechanism Embedded Autoencoders. ICME Xing Gao, Hongkai Xiong
2016	B	`conf`	A hybrid wavelet convolution network with sparse-coding for image super-resolution. ICIP Xing Gao, Hongkai Xiong