Yongqiang Yao - RankMe

40 papers A* 5B 1C 3Misc 1Journal 26Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Multi-Level Framework for Multi-Objective Hypergraph Partitioning: Combining Minimum Spanning Tree and Proximal Gradient. CoRR Yingying Li, Mingxuan Xie, Hailong You, Yongqiang Yao, Hongwei Liu
2025	J	`jnl`	HH-Codec: High Compression High-fidelity Discrete Neural Codec for Spoken Language Modeling. CoRR Rongkun Xue, Yazhe Niu, Shuai Hu, Zixin Yin, Yongqiang Yao, Jing Yang
2025	J	`jnl`	Hierarchical Balance Packing: Towards Efficient Supervised Fine-tuning for Long-Context LLM. CoRR Yongqiang Yao, Jingru Tan, Kaihuan Liang, Feizhao Zhang, Yazhe Niu, Jiahao Hu, Ruihao Gong, Dahua Lin, Ningyi Xu
2025	J	`jnl`	Lita: Light Agent Uncovers the Agentic Coding Capabilities of LLMs. CoRR Hankun Dai, Maoquan Wang, Mengnan Qi, Yikai Zhang, Zijian Jin, Yongqiang Yao, Yufan Huang, Shengyu Fu, Elsie Nallipogu
2025	A*	`conf`	OmniBal: Towards Fast Instruction-Tuning for Vision-Language Models via Omniverse Computation Balance. ICML Yongqiang Yao, Jingru Tan, Feizhao Zhang, Jiahao Hu, Yazhe Niu, Xin Jin, Bo Li, Pengfei Liu, Ruihao Gong, Dahua Lin, Ningyi Xu
2025	J	`jnl`	Robust long-tailed recognition with distribution-aware adversarial example generation. Neural Networks Bo Li, Yongqiang Yao, Jingru Tan, Dandan Zhu, Ruihao Gong, Ye Luo, Jianwei Lu
2025	—	`conf`	TokenSim: Enabling Hardware and Software Exploration for Large Language Model Inference Systems. APPT Feiyang Wu, Zhuohang Bian, Guoyang Duan, Tianle Xu, Junchi Wu, Teng Ma, Yongqiang Yao, Ruihao Gong, Youwei Zhuo
2025	J	`jnl`	TokenSim: Enabling Hardware and Software Exploration for Large Language Model Inference Systems. CoRR Feiyang Wu, Zhuohang Bian, Guoyang Duan, Tianle Xu, Junchi Wu, Teng Ma, Yongqiang Yao, Ruihao Gong, Youwei Zhuo
2025	Misc	`conf`	Tool Playgrounds: A Comprehensive and Analyzable Benchmark for LLM Tool Invocation. ICASSP Zhiwei Dong, Ruihao Gong, Yang Yong, Shuo Wu, Yongqiang Yao, Song-Lu Chen, Xu-Cheng Yin
2024	J	`jnl`	2023 Low-Power Computer Vision Challenge (LPCVC) Summary. CoRR 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
2024	J	`jnl`	Is Next Token Prediction Sufficient for GPT? Exploration on Code Logic Comprehension. CoRR Mengnan Qi, Yufan Huang, Yongqiang Yao, Maoquan Wang, Bin Gu, Neel Sundaresan
2024	J	`jnl`	OmniBal: Towards Fast Instruct-tuning for Vision-Language Models via Omniverse Computation Balance. CoRR Yongqiang Yao, Jingru Tan, Jiahao Hu, Feizhao Zhang, Xin Jin, Bo Li, Ruihao Gong, Pengfei Liu
2024	J	`jnl`	Rectify representation bias in vision-language models for long-tailed recognition. Neural Networks Bo Li, Yongqiang Yao, Jingru Tan, Ruihao Gong, Jianwei Lu, Ye Luo
2024	J	`jnl`	Similarity- and Quality-Guided Relation Learning for Joint Detection and Tracking. IEEE Trans. Multim. Weitao Feng, Lei Bai, Yongqiang Yao, Weihao Gan, Wei Wu, Wanli Ouyang
2024	J	`jnl`	Towards Frame Rate Agnostic Multi-object Tracking. Int. J. Comput. Vis. Weitao Feng, Lei Bai, Yongqiang Yao, Fengwei Yu, Wanli Ouyang
2023	J	`jnl`	PicassoNet: Searching Adaptive Architecture for Efficient Facial Landmark Localization. IEEE Trans. Neural Networks Learn. Syst. Tiancheng Wen, Zhonggan Ding, Yongqiang Yao, Yaxiong Wang, Xueming Qian
2023	A*	`conf`	Program Translation via Code Distillation. EMNLP Yufan Huang, Mengnan Qi, Yongqiang Yao, Maoquan Wang, Bin Gu, Colin B. Clement, Neel Sundaresan
2023	J	`jnl`	Program Translation via Code Distillation. CoRR Yufan Huang, Mengnan Qi, Yongqiang Yao, Maoquan Wang, Bin Gu, Colin B. Clement, Neel Sundaresan
2023	J	`jnl`	Rethinking the Instruction Quality: LIFT is What You Need. CoRR Yang Xu, Yongqiang Yao, Yufan Huang, Mengnan Qi, Maoquan Wang, Bin Gu, Neel Sundaresan
2023	A*	`conf`	SUT: Active Defects Probing for Transcompiler Models. EMNLP Mengnan Qi, Yufan Huang, Maoquan Wang, Yongqiang Yao, Zihan Liu, Bin Gu, Colin B. Clement, Neel Sundaresan
2023	J	`jnl`	SUT: Active Defects Probing for Transcompiler Models. CoRR Mengnan Qi, Yufan Huang, Maoquan Wang, Yongqiang Yao, Zihan Liu, Bin Gu, Colin B. Clement, Neel Sundaresan
2023	—	`conf`	SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency. MLSys Yan Wang, Yuhang Li, Ruihao Gong, Aishan Liu, Yanfei Wang, Jian Hu, Yongqiang Yao, Yunchen Zhang, Tianzi Xiao, Fengwei Yu, Xianglong Liu
2023	J	`jnl`	SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency. CoRR Yan Wang, Yuhang Li, Ruihao Gong, Aishan Liu, Yanfei Wang, Jian Hu, Yongqiang Yao, Yunchen Zhang, Tianzi Xiao, Fengwei Yu, Xianglong Liu
2023	J	`jnl`	The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Jingru Tan, Bo Li, Xin Lu, Yongqiang Yao, Fengwei Yu, Tong He, Wanli Ouyang
2022	J	`jnl`	Attention Mechanism Based on Improved Spatial-Temporal Convolutional Neural Networks for Traffic Police Gesture Recognition. Int. J. Pattern Recognit. Artif. Intell. Zhixuan Wu, Nan Ma, Yue Gao, Jiahong Li, Xin-Kai Xu, Yongqiang Yao, Li Chen
2022	A*	`conf`	Equalized Focal Loss for Dense Long-Tailed Object Detection. CVPR Bo Li, Yongqiang Yao, Jingru Tan, Gang Zhang, Fengwei Yu, Jianwei Lu, Ye Luo
2022	J	`jnl`	Equalized Focal Loss for Dense Long-Tailed Object Detection. CoRR Bo Li, Yongqiang Yao, Jingru Tan, Gang Zhang, Fengwei Yu, Jianwei Lu, Ye Luo
2022	J	`jnl`	Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative Learning. CoRR Bo Li, Yongqiang Yao, Jingru Tan, Xin Lu, Fengwei Yu, Ye Luo, Jianwei Lu
2022	C	`conf`	Lane following method based on Q-PID algorithm. CIS Jiahong Li, Yongqiang Yao, Nan Ma
2022	—	`conf`	Survey of Hypergraph Neural Networks and Its Application to Action Recognition. CICAI (2) Cheng Wang, Nan Ma, Zhixuan Wu, Jin Zhang, Yongqiang Yao
2022	J	`jnl`	The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition. CoRR Jingru Tan, Bo Li, Xin Lu, Yongqiang Yao, Fengwei Yu, Tong He, Wanli Ouyang
2022	J	`jnl`	Towards Frame Rate Agnostic Multi-Object Tracking. CoRR Weitao Feng, Lei Bai, Yongqiang Yao, Fengwei Yu, Wanli Ouyang
2021	C	`conf`	Research on Control Method of Self-driving Vehicle Based on Adaptive Fuzzy PID. CIS Yongqiang Yao, Nan Ma, Jiahong Li, Zhixuan Wu, Guoping Zhang
2021	—	`conf`	Towards Efficient Masked-Face Alignment Via Cascaded Regression. ICME Workshops Tiancheng Wen, Zhonggan Ding, Yongqiang Yao, WeiZhang, Yanhao Ge, Xueming Qian
2020	A*	`conf`	Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection. CVPR Shifeng Zhang, Cheng Chi, Yongqiang Yao, Zhen Lei, Stan Z. Li
2020	J	`jnl`	Cross-dataset Training for Class Increasing Object Detection. CoRR Yongqiang Yao, Yan Wang, Yu Guo, Jiaojiao Lin, Hongwei Qin, Junjie Yan
2020	C	`conf`	Improved Spatio-Temporal Convolutional Neural Networks for Traffic Police Gestures Recognition. CIS Zhixuan Wu, Nan Ma, Yiu-ming Cheung, Jiahong Li, Qin He, Yongqiang Yao, Guoping Zhang
2019	J	`jnl`	Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection. CoRR Shifeng Zhang, Cheng Chi, Yongqiang Yao, Zhen Lei, Stan Z. Li
2018	B	`conf`	Dense Receptive Field for Object Detection. ICPR Yongqiang Yao, Yuan Dong, Zesang Huang, Hongliang Bai
2018	J	`jnl`	Texture and Geometry Scattering Representation-Based Facial Expression Recognition in 2D+3D Videos. ACM Trans. Multim. Comput. Commun. Appl. Yongqiang Yao, Di Huang, Xudong Yang, Yunhong Wang, Liming Chen