2 citations · 3 across the 6 of their papers we have counts for
7 papers
Query-Centric Optimization of AI Workflows via Approximate Query Processing and Proxy Models
Huayi Wang, Jun Xu, Gromit Yeuk-Yin Chan
Many modern AI workflows -- ranging from LLM post-training pipelines to agentic reasoning tasks -- can be expressed as declarative queries whose expensive predicate is evaluated by…
U-HNSW: An Efficient Graph-based Solution to ANNS Under Universal Lp Metrics
Huayi Wang, Jingfan Meng, Jun Xu
Approximate nearest neighbor search under universal L_p metrics (ANNS-U-L_p) is an important and challenging research problem, as it requires answering queries under all possible p…
OddEEC: A New Sketch Technique for Error Estimating Coding
Huayi Wang, Jingfan Meng, Jun Xu
Error estimating coding (EEC) is a standard technique for estimating the number of bit errors during packet transmission over wireless networks. In this paper, we propose OddEEC, a…
Rethinking Similarity Search: Embracing Smarter Mechanisms over Smarter Data
Renzhi Wu, Jingfan Meng, Jie Jeff Xu +2
In this vision paper, we propose a shift in perspective for improving the effectiveness of similarity search. Rather than focusing solely on enhancing the data quality, particularl…
On Efficient Range-Summability of Ideally IID Random Variables in Two or Higher Dimensions
Jingfan Meng, Huayi Wang, Jun Xu +1
-dimensional (for ) efficient range-summability (D-ERS) of random variables (RVs) is a fundamental algorithmic problem that has applications to two important families of…
A Dyadic Simulation Approach to Efficient Range-Summability
Jingfan Meng, Huayi Wang, Jun Xu +1
Efficient range-summability (ERS) of a long list of random variables is a fundamental algorithmic problem that has applications to three important database applications, namely, da…
MP-RW-LSH: An Efficient Multi-Probe LSH Solution to ANNS in Distance
Huayi Wang, Jingfan Meng, Long Gong +2
Approximate Nearest Neighbor Search (ANNS) is a fundamental algorithmic problem, with numerous applications in many areas of computer science. Locality-sensitive hashing (LSH) is o…