4 citations · 5 across the 6 of their papers we have counts for
6 papers
Contour-integral based quantum eigenvalue transformation: analysis and applications
Shan Jiang, Dong An
Eigenvalue transformations appear ubiquitously in scientific computation, ranging from matrix polynomials to differential equations, and are beyond the reach of the quantum singula…
GraphNet: A Large-Scale Computational Graph Dataset for Tensor Compiler Research
Xinqi Li, Yiqun Liu, Shan Jiang +6
We introduce GraphNet, a dataset of 2.7K real-world deep learning computational graphs with rich metadata, spanning six major task categories across multiple deep learning framewor…
Learning-Augmented Streaming Algorithms for Correlation Clustering
Yinhao Dong, Shan Jiang, Shi Li +1
We study streaming algorithms for Correlation Clustering. Given a graph as an arbitrary-order stream of edges, with each edge labeled as positive or negative, the goal is to partit…
Tenure Under Pressure: Simulating the Disruptive Effects of AI on Academic Publishing
Shan Jiang
Generative artificial intelligence (AI) has begun to reshape academic publishing by enabling the rapid production of submission-ready manuscripts. While such tools promise to enhan…
CASCADE: LLM-Powered JavaScript Deobfuscator at Google
Shan Jiang, Pranoy Kovuri, David Tao +1
Software obfuscation, particularly prevalent in JavaScript, hinders code comprehension and analysis, posing significant challenges to software testing, static analysis, and malware…
Assessing and Enhancing Robustness of Deep Learning Models with Corruption Emulation in Digital Pathology
Peixiang Huang, Songtao Zhang, Yulu Gan +6
Deep learning in digital pathology brings intelligence and automation as substantial enhancements to pathological analysis, the gold standard of clinical diagnosis. However, multip…