5 citations · 9 across the 5 of their papers we have counts for
5 papers
AutoCE: An Accurate and Efficient Model Advisor for Learned Cardinality Estimation
Jintao Zhang, Chao Zhang, Guoliang Li +1
Cardinality estimation (CE) plays a crucial role in many database-related tasks such as query generation, cost estimation, and join ordering. Lately, we have witnessed the emergenc…
FedMEKT: Distillation-based Embedding Knowledge Transfer for Multimodal Federated Learning
Huy Q. Le, Minh N. H. Nguyen, Chu Myaet Thwal +3
Federated learning (FL) enables a decentralized machine learning paradigm for multiple clients to collaboratively train a generalized global model without sharing their private dat…
A Solution to CVPR'2023 AQTC Challenge: Video Alignment for Multi-Step Inference
Chao Zhang, Shiwei Wu, Sirui Zhao +2
Affordance-centric Question-driven Task Completion (AQTC) for Egocentric Assistant introduces a groundbreaking scenario. In this scenario, through learning instructional videos, AI…
Do Not Blindly Imitate the Teacher: Using Perturbed Loss for Knowledge Distillation
Rongzhi Zhang, Jiaming Shen, Tianqi Liu +4
Knowledge distillation is a popular technique to transfer knowledge from large teacher models to a small student model. Typically, the student learns to imitate the teacher by mini…
A Reachability Index for Recursive Label-Concatenated Graph Queries
Chao Zhang, Angela Bonifati, Hugo Kapp +2
Reachability queries checking the existence of a path from a source node to a target node are fundamental operators for querying and processing graph data. Current approaches for i…