Yongqiang Yao

According to our database, Yongqiang Yao authored at least 26 papers between 2018 and 2024.

Collaborative distances:

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

2024

Towards Frame Rate Agnostic Multi-object Tracking.

Weitao Feng, Lei Bai, Yongqiang Yao, Fengwei Yu, Wanli Ouyang

Int. J. Comput. Vis., May, 2024

Similarity- and Quality-Guided Relation Learning for Joint Detection and Tracking.

Weitao Feng, Lei Bai, Yongqiang Yao, Weihao Gan, Wei Wu, Wanli Ouyang

IEEE Trans. Multim., 2024

Rectify representation bias in vision-language models for long-tailed recognition.

Bo Li, Yongqiang Yao, Jingru Tan, Ruihao Gong, Jianwei Lu, Ye Luo

Neural Networks, 2024

OmniBal: Towards Fast Instruct-tuning for Vision-Language Models via Omniverse Computation Balance.

Yongqiang Yao, Jingru Tan, Jiahao Hu, Feizhao Zhang, Xin Jin, Bo Li, Ruihao Gong, Pengfei Liu

CoRR, 2024

Is Next Token Prediction Sufficient for GPT? Exploration on Code Logic Comprehension.

Mengnan Qi, Yufan Huang, Yongqiang Yao, Maoquan Wang, Bin Gu, Neel Sundaresan

CoRR, 2024

2023 Low-Power Computer Vision Challenge (LPCVC) Summary.

Leo Chen, Benjamin Boardley, Ping Hu, Yiru Wang, Yifan Pu, Xin Jin, Yongqiang Yao, Ruihao Gong, Bo Li, Gao Huang, Xianglong Liu, Zifu Wan, Xinwang Chen, Ning Liu, Ziyi Zhang, Dongping Liu, Ruijie Shan, Zhengping Che, Fachao Zhang, Xiaofeng Mou, Jian Tang, Maxim Chuprov, Ivan Malofeev, Alexander Goncharenko, Andrey Shcherbin, Arseny Yanchenko, Sergey Alyamkin, Xiao Hu, George K. Thiruvathukal, Yung-Hsiang Lu

CoRR, 2024

2023

PicassoNet: Searching Adaptive Architecture for Efficient Facial Landmark Localization.

Tiancheng Wen, Zhonggan Ding, Yongqiang Yao, Yaxiong Wang, Xueming Qian

IEEE Trans. Neural Networks Learn. Syst., December, 2023

The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition.

Jingru Tan, Bo Li, Xin Lu, Yongqiang Yao, Fengwei Yu, Tong He, Wanli Ouyang

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Rethinking the Instruction Quality: LIFT is What You Need.

Yang Xu, Yongqiang Yao, Yufan Huang, Mengnan Qi, Maoquan Wang, Bin Gu, Neel Sundaresan

CoRR, 2023

SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency.

Yan Wang, Yuhang Li, Ruihao Gong, Aishan Liu, Yanfei Wang, Jian Hu, Yongqiang Yao, Yunchen Zhang, Tianzi Xiao, Fengwei Yu, Xianglong Liu

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

SUT: Active Defects Probing for Transcompiler Models.

Mengnan Qi, Yufan Huang, Maoquan Wang, Yongqiang Yao, Zihan Liu, Bin Gu, Colin B. Clement, Neel Sundaresan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Program Translation via Code Distillation.

Yufan Huang, Mengnan Qi, Yongqiang Yao, Maoquan Wang, Bin Gu, Colin B. Clement, Neel Sundaresan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Attention Mechanism Based on Improved Spatial-Temporal Convolutional Neural Networks for Traffic Police Gesture Recognition.

Zhixuan Wu, Nan Ma, Yue Gao, Jiahong Li, Xin-Kai Xu, Yongqiang Yao, Li Chen

Int. J. Pattern Recognit. Artif. Intell., 2022

Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative Learning.

Bo Li, Yongqiang Yao, Jingru Tan, Xin Lu, Fengwei Yu, Ye Luo, Jianwei Lu

CoRR, 2022

The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition.

Jingru Tan, Bo Li, Xin Lu, Yongqiang Yao, Fengwei Yu, Tong He, Wanli Ouyang

CoRR, 2022

Equalized Focal Loss for Dense Long-Tailed Object Detection.

Bo Li, Yongqiang Yao, Jingru Tan, Gang Zhang, Fengwei Yu, Jianwei Lu, Ye Luo

CoRR, 2022

Equalized Focal Loss for Dense Long-Tailed Object Detection.

Bo Li, Yongqiang Yao, Jingru Tan, Gang Zhang, Fengwei Yu, Jianwei Lu, Ye Luo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Lane following method based on Q-PID algorithm.

Jiahong Li, Yongqiang Yao, Nan Ma

Proceedings of the 18th International Conference on Computational Intelligence and Security, 2022

Survey of Hypergraph Neural Networks and Its Application to Action Recognition.

Cheng Wang, Nan Ma, Zhixuan Wu, Jin Zhang, Yongqiang Yao

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021

Towards Efficient Masked-Face Alignment Via Cascaded Regression.

Tiancheng Wen, Zhonggan Ding, Yongqiang Yao, WeiZhang, Yanhao Ge, Xueming Qian

Proceedings of the 2021 IEEE International Conference on Multimedia & Expo Workshops, 2021

Research on Control Method of Self-driving Vehicle Based on Adaptive Fuzzy PID.

Yongqiang Yao, Nan Ma, Jiahong Li, Zhixuan Wu, Guoping Zhang

Proceedings of the 17th International Conference on Computational Intelligence and Security CIS 2021, 2021

2020

Cross-dataset Training for Class Increasing Object Detection.

Yongqiang Yao, Yan Wang, Yu Guo, Jiaojiao Lin, Hongwei Qin, Junjie Yan

CoRR, 2020

Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection.

Shifeng Zhang, Cheng Chi, Yongqiang Yao, Zhen Lei, Stan Z. Li

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Improved Spatio-Temporal Convolutional Neural Networks for Traffic Police Gestures Recognition.

Zhixuan Wu, Nan Ma, Yiu-ming Cheung, Jiahong Li, Qin He, Yongqiang Yao, Guoping Zhang

Proceedings of the 16th International Conference on Computational Intelligence and Security, 2020

2018

Texture and Geometry Scattering Representation-Based Facial Expression Recognition in 2D+3D Videos.

Yongqiang Yao, Di Huang, Xudong Yang, Yunhong Wang, Liming Chen

ACM Trans. Multim. Comput. Commun. Appl., 2018

Dense Receptive Field for Object Detection.

Yongqiang Yao, Yuan Dong, Zesang Huang, Hongliang Bai

Proceedings of the 24th International Conference on Pattern Recognition, 2018