Jinhao Cui

According to our database, Jinhao Cui authored at least 14 papers between 2020 and 2025.

Collaborative distances:

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

2025

MG-SIN: Multigraph Sparse Interaction Network for Multitask Stance Detection.

Heyan Chai, Jinhao Cui, Siyu Tang, Ye Ding, Xinwang Liu, Binxing Fang, Qing Liao

IEEE Trans. Neural Networks Learn. Syst., February, 2025

Joint Scheduling of Causal Prompts and Tasks for Multi-Task Learning.

Chaoyang Li, Jianyang Qin, Jinhao Cui, Zeyu Liu, Ning Hu, Qing Liao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

SGCL: Semantic-aware Graph Contrastive Learning with Lipschitz Graph Augmentation.

Jinhao Cui, Heyan Chai, Xu Yang, Ye Ding, Binxing Fang, Qing Liao

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Adaptive Recurrent Forward Network for Dense Point Cloud Completion.

Tianxin Huang, Hao Zou, Jinhao Cui, Jiangning Zhang, Xuemeng Yang, Lin Li, Yong Liu

IEEE Trans. Multim., 2023

HITSZQ at SemEval-2023 Task 10: Category-aware Sexism Detection Model with Self-training Strategy.

Ziyi Yao, Heyan Chai, Jinhao Cui, Siyu Tang, Qing Liao

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

MocGCL: Molecular Graph Contrastive Learning via Negative Selection.

Jinhao Cui, Heyan Chai, Yanbin Gong, Ye Ding, Zhongyun Hua, Cuiyun Gao, Qing Liao

Proceedings of the International Joint Conference on Neural Networks, 2023

Improving Gradient Trade-offs between Tasks in Multi-task Text Classification.

Heyan Chai, Jinhao Cui, Ye Wang, Min Zhang, Binxing Fang, Qing Liao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Improving Multi-task Stance Detection with Multi-task Interaction Network.

Heyan Chai, Siyu Tang, Jinhao Cui, Ye Ding, Binxing Fang, Qing Liao

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Learning to Train a Point Cloud Reconstruction Network Without Matching.

Tianxin Huang, Xuemeng Yang, Jiangning Zhang, Jinhao Cui, Hao Zou, Jun Chen, Xiangrui Zhao, Yong Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to Multi-Agent Moving Together.

Shanqi Liu, Licheng Wen, Jinhao Cui, Xuemeng Yang, Junjie Cao, Yong Liu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

PocoNet: SLAM-oriented 3D LiDAR Point Cloud Online Compression Network.

Jinhao Cui, Hao Zou, Xin Kong, Xuemeng Yang, Xiangrui Zhao, Yong Liu, Wanlong Li, Feng Wen, Hongbo Zhang

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

RFNet: Recurrent Forward Network for Dense Point Cloud Completion.

Tianxin Huang, Hao Zou, Jinhao Cui, Xuemeng Yang, Mengmeng Wang, Xiangrui Zhao, Jiangning Zhang, Yi Yuan, Yifan Xu, Yong Liu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

FlowMOT: 3D Multi-Object Tracking by Scene Flow Association.

Guangyao Zhai, Xin Kong, Jinhao Cui, Yong Liu, Zhen Yang

CoRR, 2020

F-Siamese Tracker: A Frustum-based Double Siamese Network for 3D Single Object Tracking.

Hao Zou, Jinhao Cui, Xin Kong, Chujuan Zhang, Yong Liu, Feng Wen, Wanlong Li

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020