Qingtao Yu

17 papers A* 5A 2Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
AutoRefiner: Improving Autoregressive Video Diffusion Models via Reflective Refinement Over the Stochastic Sampling Path.
CoRR
Zhengyang Yu, Akio Hayakawa, Masato Ishii, Qingtao Yu, Takashi Shibuya, Jing Zhang, Yuki Mitsufuji
2025 J jnl
Establishing Reliability Metrics for Reward Models in Large Language Models.
CoRR
Yizhou Chen, Yawen Liu, Xuesi Wang, Qingtao Yu, Guangda Huzhang, Anxiang Zeng, Han Yu, Zhiming Zhou
2025 J jnl
Learning Personalizable Clustered Embedding for Recommender Systems.
Trans. Recomm. Syst.
Yizhou Chen, Guangda Huzhang, Anxiang Zeng, Qingtao Yu, Hui Sun, Heng-Yi Li, Jingyi Li, Yabo Ni, Han Yu, Zhiming Zhou
2025 A* conf
Probability Density Geodesics in Image Diffusion Latent Space.
CVPR
Qingtao Yu, Jaskirat Singh, Zhaoyuan Yang, Peter Henry Tu, Jing Zhang, Hongdong Li, Richard I. Hartley, Dylan Campbell
2025 J jnl
Probability Density Geodesics in Image Diffusion Latent Space.
CoRR
Qingtao Yu, Jaskirat Singh, Zhaoyuan Yang, Peter Henry Tu, Jing Zhang, Hongdong Li, Richard I. Hartley, Dylan Campbell
2025 J jnl
TTSnap: Test-Time Scaling of Diffusion Models via Noise-Aware Pruning.
CoRR
Qingtao Yu, Changlin Song, Minghao Sun, Zhengyang Yu, Vinay Kumar Verma, Soumya Roy, Sumit Negi, Hongdong Li, Dylan Campbell
2024 A* conf
An E-Commerce Dataset Revealing Variations during Sales.
SIGIR
Jianfu Zhang, Qingtao Yu, Yizhou Chen, Guoliang Zhou, Yawen Liu, Yawei Sun, Chen Liang, Guangda Huzhang, Yabo Ni, Anxiang Zeng, Han Yu
2024 A* conf
Benchmarking Audio Visual Segmentation for Long-Untrimmed Videos.
CVPR
Chen Liu, Peike Patrick Li, Qingtao Yu, Hongwei Sheng, Dadong Wang, Lincheng Li, Xin Yu
2024 A conf
When 3D Bounding-Box Meets SAM: Point Cloud Instance Segmentation with Weak-and-Noisy Supervision.
WACV
Qingtao Yu, Heming Du, Chen Liu, Xin Yu
2023 — conf
A New Perspective of Weakly Supervised 3D Instance Segmentation via Bounding Boxes.
AI (1)
Qingtao Yu, Heming Du, Xin Yu
2023 A* conf
Clustered Embedding Learning for Recommender Systems.
WWW
Yizhou Chen, Guangda Huzhang, Anxiang Zeng, Qingtao Yu, Hui Sun, Heng-Yi Li, Jingyi Li, Yabo Ni, Han Yu, Zhiming Zhou
2023 J jnl
Clustered Embedding Learning for Recommender Systems.
CoRR
Yizhou Chen, Guangda Huzhang, Anxiang Zeng, Qingtao Yu, Hui Sun, Heng-Yi Li, Jingyi Li, Yabo Ni, Han Yu, Zhiming Zhou
2023 J jnl
Divide and Ensemble: Progressively Learning for the Unknown.
CoRR
Hu Zhang, Xin Shen, Heming Du, Huiqiang Chen, Chen Liu, Hongwei Sheng, Qingzheng Xu, Wahiduzzaman Khan, Qingtao Yu, Tianqing Zhu, Scott C. Chapman, Zi Huang, Xin Yu
2023 A* conf
Recurrent Temporal Revision Graph Networks.
NeurIPS
Yizhou Chen, Anxiang Zeng, Qingtao Yu, Kerui Zhang, Yuanpeng Cao, Kangle Wu, Guangda Huzhang, Han Yu, Zhiming Zhou
2023 J jnl
Recurrent Temporal Revision Graph Networks.
CoRR
Yizhou Chen, Anxiang Zeng, Guangda Huzhang, Qingtao Yu, Kerui Zhang, Yuanpeng Cao, Kangle Wu, Han Yu, Zhiming Zhou
2023 J jnl
When 3D Bounding-Box Meets SAM: Point Cloud Instance Segmentation with Weak-and-Noisy Supervision.
CoRR
Qingtao Yu, Heming Du, Chen Liu, Xin Yu
2022 A conf
Non-stationary Continuum-armed Bandits for Online Hyperparameter Optimization.
WSDM
Shiyin Lu, Yu-Hang Zhou, Jing-Cheng Shi, Wenya Zhu, Qingtao Yu, Qing-Guo Chen, Qing Da, Lijun Zhang