2 citations · 5 across the 7 of their papers we have counts for
7 papers
BlazingAML: High-Throughput Anti-Money Laundering (AML) via Multi-Stage Graph Mining
Haojie Ye, Arjun Laxman, Yichao Yuan +2
Money laundering detection faces challenges due to excessive false positives and inadequate adaptation to sophisticated multi-stage schemes that exploit modern financial networks.…
NMP-PaK: Near-Memory Processing Acceleration of Scalable De Novo Genome Assembly
Heewoo Kim, Sanjay Sri Vallabh Singapuram, Haojie Ye +4
De novo assembly enables investigations of unknown genomes, paving the way for personalized medicine and disease management. However, it faces immense computational challenges aris…
Palermo: Improving the Performance of Oblivious Memory using Protocol-Hardware Co-Design
Haojie Ye, Yuchen Xia, Yuhan Chen +6
Oblivious RAM (ORAM) hides the memory access patterns, enhancing data privacy by preventing attackers from discovering sensitive information based on the sequence of memory accesse…
Understanding the Performance and Estimating the Cost of LLM Fine-Tuning
Yuchen Xia, Jiho Kim, Yuhan Chen +4
Due to the cost-prohibitive nature of training Large Language Models (LLMs), fine-tuning has emerged as an attractive alternative for specializing LLMs for specific tasks using lim…
Demystifying Graph Sparsification Algorithms in Graph Properties Preservation
Yuhan Chen, Haojie Ye, Sanketh Vedula +4
Graph sparsification is a technique that approximates a given graph by a sparse graph with a subset of vertices and/or edges. The goal of an effective sparsification algorithm is t…
Everest: GPU-Accelerated System For Mining Temporal Motifs
Yichao Yuan, Haojie Ye, Sanketh Vedula +2
Temporal motif mining is the task of finding the occurrences of subgraph patterns within a large input temporal graph that obey the specified structural and temporal constraints. D…
CoDR: Computation and Data Reuse Aware CNN Accelerator
Alireza Khadem, Haojie Ye, Trevor Mudge
Computation and Data Reuse is critical for the resource-limited Convolutional Neural Network (CNN) accelerators. This paper presents Universal Computation Reuse to exploit weight s…