Qingtao Yu - RankMe

17 papers A* 5A 2Journal 9Unranked 1

Year	Rank	Type	Title / 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