Yusheng Zhao

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 20

Top Topics

Graph Classification

Intelligent Transportation Systems

Top Venues

Publications

Jinsheng Huang, Liang Chen, Taian Guo, Fu Zeng, Yusheng Zhao, Bohan Wu, Ye Yuan, Haozhe Zhao, Zhihui Guo, Yichi Zhang, Jingyang Yuan, Wei Ju, Luchen Liu, Tianyu Liu, Baobao Chang, Ming Zhang
MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation. CoRR (2024)
Wei Ju, Yusheng Zhao, Yifang Qin, Siyu Yi, Jingyang Yuan, Zhiping Xiao, Xiao Luo, Xiting Yan, Ming Zhang
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting. CoRR (2024)
Xiao Luo, Yusheng Zhao, Yifang Qin, Wei Ju, Ming Zhang
Towards Semi-Supervised Universal Graph Classification. IEEE Trans. Knowl. Data Eng. 36 (1) (2024)
Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Yifan Wang, Xiao Luo, Ming Zhang
A Comprehensive Survey on Deep Graph Representation Learning. Neural Networks 173 (2024)
Yusheng Zhao, Hui Zhong, Xinyue Zhang, Chi Zhang, Miao Pan
Bridging Quantum Computing and Differential Privacy: A Survey on Quantum Computing Privacy. CoRR (2024)
Wei Ju, Yusheng Zhao, Yifang Qin, Siyu Yi, Jingyang Yuan, Zhiping Xiao, Xiao Luo, Xiting Yan, Ming Zhang
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting. Inf. Fusion 107 (2024)
Hourun Li, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Zhiping Xiao, Jiaqi Feng, Yiyang Gu, Wei Ju, Xiao Luo, Ming Zhang
A Survey on Graph Neural Networks in Intelligent Transportation Systems. CoRR (2024)
Yusheng Zhao, Xiao Luo, Wei Ju, Chong Chen, Xian-Sheng Hua, Ming Zhang
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting. ICDE (2023)
Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Xiao Luo, Ming Zhang
A Comprehensive Survey on Deep Graph Representation Learning. CoRR (2023)
Xiao Luo, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun
RIGNN: A Rationale Perspective for Semi-supervised Open-world Graph Classification. Trans. Mach. Learn. Res. 2023 (2023)
Xiao Luo, Yusheng Zhao, Yifang Qin, Wei Ju, Ming Zhang
Towards Semi-supervised Universal Graph Classification. CoRR (2023)
Yusheng Zhao, Xiao Luo, Wei Ju, Chong Chen, Xian-Sheng Hua, Ming Zhang
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting. CoRR (2023)
Jingyang Yuan, Xiao Luo, Yifang Qin, Yusheng Zhao, Wei Ju, Ming Zhang
Learning on Graphs under Label Noise. ICASSP (2023)
Jingyang Yuan, Xiao Luo, Yifang Qin, Yusheng Zhao, Wei Ju, Ming Zhang
Learning on Graphs under Label Noise. CoRR (2023)
Yusheng Zhao, Jinyu Chen, Chen Gao, Wenguan Wang, Lirong Yang, Haibing Ren, Huaxia Xia, Si Liu
Target-Driven Structured Transformer Planner for Vision-Language Navigation. CoRR (2022)
Yusheng Zhao, Jinyu Chen, Chen Gao, Wenguan Wang, Lirong Yang, Haibing Ren, Huaxia Xia, Si Liu
Target-Driven Structured Transformer Planner for Vision-Language Navigation. ACM Multimedia (2022)
Dailan He, Yusheng Zhao, Junyu Luo, Tianrui Hui, Shaofei Huang, Aixi Zhang, Si Liu
TransRefer3D: Entity-and-Relation Aware Transformer for Fine-Grained 3D Visual Grounding. CoRR (2021)
Dailan He, Yusheng Zhao, Junyu Luo, Tianrui Hui, Shaofei Huang, Aixi Zhang, Si Liu
TransRefer3D: Entity-and-Relation Aware Transformer for Fine-Grained 3D Visual Grounding. ACM Multimedia (2021)
Yusheng Zhao, Rea L. Antoniou-Kourounioti, Grant Calder, Caroline Dean, Martin Howard
Temperature-dependent growth contributes to long-term cold sensing. Nat. 583 (7818) (2020)
Yusheng Zhao, Huanqian Yan, Xingxing Wei
Object Hider: Adversarial Patch Attack Against Object Detectors. CoRR (2020)