4 citations · 4 across the 6 of their papers we have counts for
7 papers
PROMISE: Prompt-Attentive Hierarchical Contrastive Learning for Robust Cross-Modal Representation with Missing Modalities
Jiajun Chen, Sai Cheng, Yutao Yuan +4
Multimodal models integrating natural language and visual information have substantially improved generalization of representation models. However, their effectiveness significantl…
AMAZe: A Multi-Agent Zero-shot Index Advisor for Relational Databases
Zhaodonghui Li, Haitao Yuan, Jiachen Shi +3
Index recommendation is one of the most important problems in database management system (DBMS) optimization. Given queries and certain index-related constraints, traditional metho…
AdaMixT: Adaptive Weighted Mixture of Multi-Scale Expert Transformers for Time Series Forecasting
Huanyao Zhang, Jiaye Lin, Wentao Zhang +2
Multivariate time series forecasting involves predicting future values based on historical observations. However, existing approaches primarily rely on predefined single-scale patc…
FDABench: A Benchmark for Data Agents on Analytical Queries over Heterogeneous Data
Ziting Wang, Shize Zhang, Haitao Yuan +3
The growing demand for data-driven decision-making has created an urgent need for data agents that can reason over heterogeneous data (databases, documents, web content, images, vi…
Towards An Efficient and Effective En Route Travel Time Estimation Framework
Zekai Shen, Haitao Yuan, Xiaowei Mao +4
En route travel time estimation (ER-TTE) focuses on predicting the travel time of the remaining route. Existing ER-TTE methods always make re-estimation which significantly hinders…
CARROT: A Learned Cost-Constrained Retrieval Optimization System for RAG
Ziting Wang, Haitao Yuan, Wei Dong +2
Large Language Models (LLMs) have demonstrated impressive ability in generation and reasoning tasks but struggle with handling up-to-date knowledge, leading to inaccuracies or hall…