Yunke Qu - RankMe

12 papers A* 1A 3Journal 7Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Sparse Gradient Training for Recommender Systems. Data Sci. Eng. Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Jianxin Li, Hongzhi Yin
2025	A	`conf`	Efficient Multimodal Streaming Recommendation via Expandable Side Mixture-of-Experts. CIKM Yunke Qu, Liang Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2025	J	`jnl`	Efficient Multimodal Streaming Recommendation via Expandable Side Mixture-of-Experts. CoRR Yunke Qu, Liang Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2024	A	`conf`	Budgeted Embedding Table For Recommender Systems. WSDM Yunke Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2024	A	`conf`	Scalable Dynamic Embedding Size Search for Streaming Recommendation. CIKM Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2024	J	`jnl`	Scalable Dynamic Embedding Size Search for Streaming Recommendation. CoRR Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2024	J	`jnl`	Sparser Training for On-Device Recommendation Systems. CoRR Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Jianxin Li, Hongzhi Yin
2023	J	`jnl`	Budgeted Embedding Table For Recommender Systems. CoRR Yunke Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin
2023	J	`jnl`	Combining Human and Machine Confidence in Truthfulness Assessment. ACM J. Data Inf. Qual. Yunke Qu, Kevin Roitero, David La Barbera, Damiano Spina, Stefano Mizzaro, Gianluca Demartini
2023	A*	`conf`	Continuous Input Embedding Size Search For Recommender Systems. SIGIR Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin
2023	J	`jnl`	Continuous Input Embedding Size Search For Recommender Systems. CoRR Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin
2021	—	`conf`	Human-in-the-Loop Systems for Truthfulness: A Study of Human and Machine Confidence. TTO Yunke Qu, Kevin Roitero, Stefano Mizzaro, Damiano Spina, Gianluca Demartini