BF-MapReduce: A Bloom Filter Based Efficient Lightweight Search. - Zi-long Tan; Keren Zhou 001; Hao Zhang; Wei Zhou 011 (CIC, 2015)

Multi-Classes Feature Engineering with Sliding Window for Purchase Prediction in Mobile Commerce. - Qiang Li 043; Maojie Gu; Keren Zhou 001; Xiaoming Sun 001 (ICDM Workshops, 2015)

A performance analysis framework for exploiting GPU microarchitectural capability. - Keren Zhou 001; Guangming Tan; Xiuxia Zhang; Chaowei Wang; Ninghui Sun (ICS, 2017)

Understanding the GPU Microarchitecture to Achieve Bare-Metal Performance Tuning. - Xiuxia Zhang; Guangming Tan; Shuangbai Xue; Jiajia Li 001; Keren Zhou 001; Mingyu Chen 001 (PPoPP, 2017)

Quadboost: A Scalable Concurrent Quadtree. - Keren Zhou 001; Guangming Tan; Wei Zhou 011 (IEEE Trans. Parallel Distributed Syst., 2018)

A Tool for Performance Analysis of GPU-Accelerated Applications. - Keren Zhou 001; John M. Mellor-Crummey (CGO, 2019)

Tools for top-down performance analysis of GPU-accelerated applications. - Keren Zhou 001; Mark W. Krentel; John M. Mellor-Crummey (ICS, 2020)

A tool for top-down performance analysis of GPU-accelerated applications. - Keren Zhou 001; Mark Krentel; John M. Mellor-Crummey (PPoPP, 2020)

GVProf: a value profiler for GPU-based clusters. - Keren Zhou 001; Yueming Hao; John M. Mellor-Crummey; Xiaozhu Meng; Xu Liu 001 (SC, 2020)

GPA: A GPU Performance Advisor Based on Instruction Sampling. - Keren Zhou 001; Xiaozhu Meng; Ryuichi Sai; John M. Mellor-Crummey (CGO, 2021)

Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part I). - Barbara M. Chapman; Buu Pham; Charlene Yang; Christopher S. Daley; Colleen Bertoni; Dhruva Kulkarni; Dossay Oryspayev; Ed D'Azevedo; Johannes Doerfert; Keren Zhou 001; Kiran Ravikumar; Mark Gordon; et al. (IWOMP, 2021)

Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part II). - Barbara M. Chapman; Buu Pham; Charlene Yang; Christopher S. Daley; Colleen Bertoni; Dhruva Kulkarni; Dossay Oryspayev; Ed D'Azevedo; Johannes Doerfert; Keren Zhou 001; Kiran Ravikumar; Mark Gordon; et al. (IWOMP, 2021)

Measurement and Analysis of GPU-Accelerated OpenCL Computations on Intel GPUs. - Aaron Cherian; Keren Zhou 001; Dejan Grubisic; Xiaozhu Meng; John M. Mellor-Crummey (ProTools@SC, 2021)

Measurement and analysis of GPU-accelerated applications with HPCToolkit. - Keren Zhou 001; Laksono Adhianto; Jonathon M. Anderson; Aaron Cherian; Dejan Grubisic; Mark Krentel; Yumeng Liu; Xiaozhu Meng; John M. Mellor-Crummey (Parallel Comput., 2021)

ValueExpert: exploring value patterns in GPU-accelerated applications. - Keren Zhou 001; Yueming Hao; John M. Mellor-Crummey; Xiaozhu Meng; Xu Liu 001 (ASPLOS, 2022)

Low overhead and context sensitive profiling of CPU-accelerated applications. - Keren Zhou 001; Jonathon M. Anderson; Xiaozhu Meng; John M. Mellor-Crummey (ICS, 2022)

Accelerating high-order stencils on GPUs. - Ryuichi Sai; John M. Mellor-Crummey; Xiaozhu Meng; Keren Zhou 001; Mauricio Araya-Polo; Jie Meng (Concurr. Comput. Pract. Exp., 2022)

Efficient model compression with Random Operation Access Specific Tile (ROAST) hashing. - Aditya Desai; Keren Zhou 001; Anshumali Shrivastava (CoRR, 2022)

Paw-Net: Stacking ensemble deep learning for segmenting scanning electron microscopy images of fine-grained shale samples. - Binqian Yin; Qinhong Hu; Yingying Zhu 004; Chen Zhao; Keren Zhou 001 (Comput. Geosci., 2022)

An Automated Tool for Analysis and Tuning of GPU-Accelerated Code in HPC Applications. - Keren Zhou 001; Xiaozhu Meng; Ryuichi Sai; Dejan Grubisic; John M. Mellor-Crummey (IEEE Trans. Parallel Distributed Syst., 2022)

DrGPUM: Guiding Memory Optimization for GPU-Accelerated Applications. - Mao Lin; Keren Zhou 001; Pengfei Su 001 (ASPLOS (3), 2023)

Hardware-Aware Compression with Random Operation Access Specific Tile (ROAST) Hashing. - Aditya Desai; Keren Zhou 001; Anshumali Shrivastava (ICML, 2023)

PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation. - Jason Ansel; Edward Z. Yang; Horace He; Natalia Gimelshein; Animesh Jain; Michael Voznesensky; Bin Bao; Peter Bell 008; David Berard; Evgeni Burovski; Geeta Chauhan; Anjali Chourdia; et al. (ASPLOS (2), 2024)

FASTEN: Fast GPU-accelerated Segmented Matrix Multiplication for Heterogenous Graph Neural Networks. - Keren Zhou 001; Karthik Ganapathi Subramanian; Po-Hsun Lin; Matthias Fey; Binqian Yin; Jiajia Li 001 (ICS, 2024)

SS1: Accelerating Inference with Fast and Expressive Sketch Structured Transform. - Aditya Desai; Kimia Saedi; Apoorv Walia; Jihyeong Lee; Keren Zhou 001; Anshumali Shrivastava (NeurIPS, 2024)

Centimani: Enabling Fast AI Accelerator Selection for DNN Training with a Novel Performance Predictor. - Zhen Xie; Murali Emani; Xiaodong Yu 001; Dingwen Tao; Xin He; Pengfei Su 001; Keren Zhou 001; Venkatram Vishwanath (USENIX ATC, 2024)

DeepContext: A Context-aware, Cross-platform, and Cross-framework Tool for Performance Profiling and Analysis of Deep Learning Workloads. - Qidong Zhao; Hao Wu; Yuming Hao; Zilingfeng Ye; Jiajia Li 001; Xu Liu 001; Keren Zhou 001 (CoRR, 2024)

KPerfIR: Towards a Open and Compiler-centric Ecosystem for GPU Kernel Performance Tooling on Modern AI Workloads. - Yue Guan; Yuanwei Fang; Keren Zhou 001; Corbin Robeck; Manman Ren; Zhongkai Yu; Yufei Ding 001; Adnan Aziz (OSDI, 2025)

Triton-Viz: Visualizing GPU Programming in AI Courses. - Tejas Ramesh; Alexander Rush; Xu Liu 001; Binqian Yin; Keren Zhou 001; Shuyin Jiao (SIGCSE (1), 2025)

Do Large Language Models Understand Performance Optimization? - Bowen Cui; Tejas Ramesh; Oscar R. Hernandez; Keren Zhou 001 (CoRR, 2025)

KPerfIR: Towards an Open and Compiler-centric Ecosystem for GPU Kernel Performance Tooling on Modern AI Workloads. - Yue Guan; Yuanwei Fang; Keren Zhou 001; Corbin Robeck; Manman Ren; Zhongkai Yu; Yufei Ding 001; Adnan Aziz (CoRR, 2025)

Linear Layouts: Robust Code Generation of Efficient Tensor Computation Using 𝔽2. - Keren Zhou 001; Mario Lezcano; Adam Goucher; Akhmed Rakhmati; Jeff Niu; Justin Lebar; Pawel Szczerbuk; Peter Bell 008; Phil Tillet; Thomas Raoux; Zahi Moudallal (CoRR, 2025)