Wen-Mei Hwu - RankMe

104 papers A* 12A 12B 7Misc 1Journal 41Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Asynchrony and GPUs: Bridging this Dichotomy for I/O with AGIO. ASPLOS (2) Jihoon Han, Anand Sivasubramaniam, Chia-Hao Chang, Vikram Sharma Mailthody, Zaid Qureshi, Wen-Mei Hwu
2026	J	`jnl`	VibeTensor: System Software for Deep Learning, Fully Generated by AI Agents. CoRR Bing Xu, Terry Chen, Fengzhe Zhou, Tianqi Chen, Yangqing Jia, Vinod Grover, Haicheng Wu, Wei Liu, Craig Wittenbrink, Wen-Mei Hwu, Roger A. Bringmann, Ming-Yu Liu, Luis Ceze, Michael Lightstone, Humphrey Shi
2025	J	`jnl`	ANUBIS: Hybrid FPAA-FPGA Architecture for Entropy-Based True Random Number Generation in Secure UAV Communication. IEEE Embed. Syst. Lett. Mohamed El-Hadedy, Andrea Abelian, Kenny Lee, Benny N. Cheng, Wen-Mei Hwu
2025	J	`jnl`	From Minutes to Seconds: Redefining the Five-Minute Rule for AI-Era Memory Hierarchies. CoRR Tong Zhang, Vikram Sharma Mailthody, Fei Sun, Linsen Ma, Chris J. Newburn, Teresa Zhang, Yang Liu, Jiangpeng Li, Hao Zhong, Wen-Mei Hwu
2025	J	`jnl`	Generalized Neighborhood Attention: Multi-dimensional Sparse Attention at the Speed of Light. CoRR Ali Hassani, Fengzhe Zhou, Aditya Kane, Jiannan Huang, Chieh-Yun Chen, Min Shi, Steven Walton, Markus Hoehnerbach, Vijay Thakkar, Michael Isaev, Qinsheng Zhang, Bing Xu, Haicheng Wu, Wen-Mei Hwu, Ming-Yu Liu, Humphrey Shi
2025	—	`conf`	Ma'at: FPGA-Assisted Dual-Core Architecture for Deterministic IoT Telemetry Integrity. MILCOM Mohamed El-Hadedy, Wen-Mei Hwu, Benny N. Cheng
2025	—	`conf`	QuickCommand: A Low-Latency NLP Pipeline for Reliable UAV Telepresence. ISSREW Mohamed El-Hadedy, Wen-Mei Hwu
2025	A*	`conf`	SSDTrain: An Activation Offloading Framework to SSDs for Faster Large Language Model Training. DAC Kun Wu, Jeongmin Brian Park, Xiaofan Zhang, Mert Hidayetoglu, Vikram Sharma Mailthody, Sitao Huang, Steven S. Lumetta, Wen-Mei Hwu
2025	—	`conf`	Thoth: Reliable Orchestration of Post-Quantum Secure Communication in Multi-Architecture Edge Clusters. ISSREW Mohamed El-Hadedy, Wen-Mei Hwu
2024	J	`jnl`	Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses. Proc. VLDB Endow. Jeongmin Brian Park, Vikram Sharma Mailthody, Zaid Qureshi, Wen-Mei Hwu
2024	—	`conf`	Acceleration of Graph Neural Networks with Heterogenous Accelerators Architecture. SC Workshops Kaiwen Cao, Archit Gajjar, Liad Gerstman, Kun Wu, Sai Rahul Chalamalasetti, Aditya Dhakal, Giacomo Pedretti, Pavana Prakash, Wen-Mei Hwu, Deming Chen, Dejan S. Milojicic
2024	A	`conf`	CommBench: Micro-Benchmarking Hierarchical Networks with Multi-GPU, Multi-NIC Nodes. ICS Mert Hidayetoglu, Simon Garcia De Gonzalo, Elliott Slaughter, Yu Li, Christopher Zimmer, Tekin Bicer, Bin Ren, William Gropp, Wen-Mei Hwu, Alex Aiken
2024	J	`jnl`	Determining optimal channel partition for 2:4 fine grained structured sparsity. Optim. Lett. Mohit Mahajan, Wen-Mei Hwu, Rakesh Nagi
2024	A*	`conf`	Faster Neighborhood Attention: Reducing the O(n^2) Cost of Self Attention at the Threadblock Level. NeurIPS Ali Hassani, Wen-Mei Hwu, Humphrey Shi
2024	J	`jnl`	Faster Neighborhood Attention: Reducing the O(n^2) Cost of Self Attention at the Threadblock Level. CoRR Ali Hassani, Wen-Mei Hwu, Humphrey Shi
2024	—	`conf`	GMT: GPU Orchestrated Memory Tiering for the Big Data Era. ASPLOS (3) Chia-Hao Chang, Jihoon Han, Anand Sivasubramaniam, Vikram Sharma Mailthody, Zaid Qureshi, Wen-Mei Hwu
2024	—	`conf`	Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures. ASPLOS (3) Kun Wu, Mert Hidayetoglu, Xiang Song, Sitao Huang, Da Zheng, Israt Nisa, Wen-Mei Hwu
2023	J	`jnl`	Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses. CoRR Jeongmin Brian Park, Vikram Sharma Mailthody, Zaid Qureshi, Wen-Mei Hwu
2023	B	`conf`	BEEP: Balanced Efficient subgraph Enumeration in Parallel. ICPP Samiran Kawtikwar, Mohammad Almasri, Wen-Mei Hwu, Rakesh Nagi, Jinjun Xiong
2023	—	`conf`	BLTESTI: Benchmarking Lightweight TinyJAMBU on Embedded Systems for Trusted IoT. SOCC Mohamed El-Hadedy, Russell Hua, Shahzman Saqib, Kazutomo Yoshii, Wen-Mei Hwu, Martin Margala
2023	—	`conf`	Can Language Models Be Specific? How? ACL (Findings) Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
2023	A*	`conf`	IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research. KDD Arpandeep Khatua, Vikram Sharma Mailthody, Bhagyashree Taleka, Tengfei Ma, Xiang Song, Wen-Mei Hwu
2023	J	`jnl`	RECO-ASCON: Reconfigurable ASCON hash functions for IoT applications. Integr. Mohamed El-Hadedy, Xinfei Guo, Kazutomo Yoshii, Yichen Cai, Robert Herndon, Bryan Banta, Wen-Mei Hwu
2023	—	`conf`	RECO-LFSR: Reconfigurable Low-power Cryptographic processor based on LFSR for Trusted IoT platforms. ISQED Mohamed El-Hadedy, Russell Hua, Kazutomo Yoshii, Wen-Mei Hwu, Martin Margala
2023	A*	`conf`	RackBlox: A Software-Defined Rack-Scale Storage System with Network-Storage Co-Design. SOSP Benjamin Reidys, Yuqi Xue, Daixuan Li, Bharat Sukhwani, Wen-Mei Hwu, Deming Chen, Sameh W. Asaad, Jian Huang
2022	A	`conf`	A Compiler Framework for Optimizing Dynamic Parallelism on GPUs. CGO Mhd Ghaith Olabi, Juan Gómez-Luna, Onur Mutlu, Wen-Mei Hwu, Izzat El Hajj
2022	J	`jnl`	Can Language Models Be Specific? How? CoRR Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
2022	A*	`conf`	DEER: Descriptive Knowledge Graph for Explaining Entity Relationships. EMNLP Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
2022	J	`jnl`	DKG: A Descriptive Knowledge Graph for Explaining Relationships between Entities. CoRR Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
2022	A*	`conf`	Graph Neural Network Training and Data Tiering. KDD Seungwon Min, Kun Wu, Mert Hidayetoglu, Jinjun Xiong, Xiang Song, Wen-Mei Hwu
2022	—	`conf`	Open Relation Modeling: Learning to Define Relations between Entities. ACL (Findings) Jie Huang, Kevin Chang, Jinjun Xiong, Wen-Mei Hwu
2022	A	`conf`	PARSEC: PARallel Subgraph Enumeration in CUDA. IPDPS Vibhor Dodeja, Mohammad Almasri, Rakesh Nagi, Jinjun Xiong, Wen-Mei Hwu
2022	A	`conf`	Parallel K-clique counting on GPUs. ICS Mohammad Almasri, Izzat El Hajj, Rakesh Nagi, Jinjun Xiong, Wen-Mei Hwu
2022	—	`conf`	RECO-HCON: A High-Throughput Reconfigurable Compact ASCON Processor for Trusted IoT. SOCC Xiangdong Wei, Mohamed El-Hadedy, Sergiu Mosanu, Zhengping Zhu, Wen-Mei Hwu, Xinfei Guo
2022	J	`jnl`	Submission-Aware Reviewer Profiling for Reviewer Recommender System. CoRR Omer Anjum, Alok Kamatar, Toby Liang, Jinjun Xiong, Wen-Mei Hwu
2022	A*	`conf`	Understanding Jargon: Combining Extraction and Generation for Definition Modeling. EMNLP Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
2021	J	`jnl`	Efficient Methods for Mapping Neural Machine Translator on FPGAs. IEEE Trans. Parallel Distributed Syst. Qin Li, Xiaofan Zhang, Jinjun Xiong, Wen-Mei Hwu, Deming Chen
2021	Misc	`conf`	Extending HLS with High-Level Descriptive Language for Configurable Algorithm-Level Spatial Structure Design. FCCM Chengyue Wang, Sitao Huang, Wen-Mei Hwu, Deming Chen
2021	B	`conf`	FFT blitz: the tensor cores strike back. PPoPP Sultan Durrani, Muhammad Saad Chughtai, Abdul Dakkak, Wen-Mei Hwu, Lawrence Rauchwerger
2021	—	`conf`	Graviton: A Reconfigurable Memory-Compute Fabric for Data Intensive Applications. ARC Ashutosh Dhar, Paul Reckamp, Jinjun Xiong, Wen-Mei Hwu, Deming Chen
2021	—	`conf`	HyKernel: A Hybrid Selection of One/Two-Phase Kernels for Triangle Counting on GPUs. HPEC Mohammad Almasri, Neo Vasudeva, Rakesh Nagi, Jinjun Xiong, Wen-Mei Hwu
2021	A*	`conf`	Interpretable Visual Reasoning via Induced Symbolic Space. ICCV Zhonghao Wang, Kai Wang, Mo Yu, Jinjun Xiong, Wen-Mei Hwu, Mark Hasegawa-Johnson, Humphrey Shi
2021	—	`conf`	Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach. ACL/IJCNLP (1) Jie Huang, Kevin Chang, Jinjun Xiong, Wen-Mei Hwu
2021	—	`conf`	Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection. CVPR Workshops Jiachen Li, Bowen Cheng, Rogério Feris, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Humphrey Shi
2021	J	`jnl`	Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection. CoRR Jiachen Li, Bowen Cheng, Rogério Feris, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Humphrey Shi
2021	A	`conf`	PyLog: An Algorithm-Centric Python-Based FPGA Programming and Synthesis Flow. FPGA Sitao Huang, Kun Wu, Hyunmin Jeong, Chengyue Wang, Deming Chen, Wen-Mei Hwu
2021	J	`jnl`	PyLog: An Algorithm-Centric Python-Based FPGA Programming and Synthesis Flow. IEEE Trans. Computers Sitao Huang, Kun Wu, Hyunmin Jeong, Chengyue Wang, Deming Chen, Wen-Mei Hwu
2021	J	`jnl`	Safer Illinois and RokWall: Privacy Preserving University Health Apps for COVID-19. CoRR Vikram Sharma Mailthody, James Wei, Nicholas Chen, Mohammad Behnia, Ruihao Yao, Qihao Wang, Vedant Agrawal, Churan He, Lijian Wang, Leihao Chen, Amit Agarwal, Edward Richter, Wen-Mei Hwu, Christopher W. Fletcher, Jinjun Xiong, Andrew Miller, Sanjay Patel
2021	A	`conf`	TEMPI: An Interposed MPI Library with a Canonical Representation of CUDA-aware Datatypes. HPDC Carl Pearson, Kun Wu, I-Hsin Chung, Jinjun Xiong, Wen-Mei Hwu
2020	—	`conf`	Advancing Computing Infrastructure for Very Large-Scale Deep Learning at C3SR. IPDPS Workshops Wen-Mei Hwu
2020	J	`jnl`	Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation. CoRR Zhonghao Wang, Yunchao Wei, Rogério Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi
2020	—	`conf`	At-Scale Sparse Deep Neural Network Inference With Efficient GPU Implementation. HPEC Mert Hidayetoglu, Carl Pearson, Vikram Sharma Mailthody, Eiman Ebrahimi, Jinjun Xiong, Rakesh Nagi, Wen-Mei Hwu
2020	A	`conf`	Benanza: Automatic μBenchmark Generation to Compute "Lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUs. IPDPS Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei Hwu
2020	B	`conf`	DLBricks: Composable Benchmark Generation to Reduce Deep Learning Benchmarking Effort on CPUs. ICPE Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei Hwu
2020	J	`jnl`	DLSpec: A Deep Learning Task Exchange Specification. CoRR Abdul Dakkak, Cheng Li, Jinjun Xiong, Wen-Mei Hwu
2020	A	`conf`	DNNExplorer: A Framework for Modeling and Exploring a Novel Paradigm of FPGA-based DNN Accelerator. ICCAD Xiaofan Zhang, Hanchen Ye, Junsong Wang, Yonghua Lin, Jinjun Xiong, Wen-Mei Hwu, Deming Chen
2020	A*	`conf`	Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation. CVPR Zhonghao Wang, Mo Yu, Yunchao Wei, Rogério Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi
2020	J	`jnl`	Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation. CoRR Zhonghao Wang, Mo Yu, Yunchao Wei, Rogério Schmidt Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi
2020	J	`jnl`	EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal In GPUs. Proc. VLDB Endow. Seungwon Min, Vikram Sharma Mailthody, Zaid Qureshi, Jinjun Xiong, Eiman Ebrahimi, Wen-Mei Hwu
2020	—	`conf`	Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices. ACM Great Lakes Symposium on VLSI Cong Hao, Yao Chen, Xiaofan Zhang, Yuhong Li, Jinjun Xiong, Wen-Mei Hwu, Deming Chen
2020	J	`jnl`	Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices. CoRR Cong Hao, Yao Chen, Xiaofan Zhang, Yuhong Li, Jinjun Xiong, Wen-Mei Hwu, Deming Chen
2020	—	`conf`	Exploring Semantic Capacity of Terms. EMNLP (1) Jie Huang, Zilong Wang, Kevin Chang, Wen-Mei Hwu, Jinjun Xiong
2020	J	`jnl`	Exploring Semantic Capacity of Terms. CoRR Jie Huang, Zilong Wang, Kevin Chen-Chuan Chang, Wen-Mei Hwu, Jinjun Xiong
2020	J	`jnl`	Fast CUDA-Aware MPI Datatypes without Platform Support. CoRR Carl Pearson, Kun Wu, I-Hsin Chung, Jinjun Xiong, Wen-Mei Hwu
2020	J	`jnl`	Interpretable Visual Reasoning via Induced Symbolic Space. CoRR Zhonghao Wang, Mo Yu, Kai Wang, Jinjun Xiong, Wen-Mei Hwu, Mark Hasegawa-Johnson, Humphrey Shi
2020	J	`jnl`	MLModelScope: A Distributed Platform for Model Evaluation and Benchmarking at Scale. CoRR Abdul Dakkak, Cheng Li, Jinjun Xiong, Wen-Mei Hwu
2020	—	`conf`	Micro - GAGE: A Low-power Compact GAGE Hash Function Processor for IoT Applications. ICECS Mohamed El-Hadedy, Martin Margala, Sergiu Mosanu, Danilo Gligoroski, Jinjun Xiong, Wen-Mei Hwu
2020	J	`jnl`	PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-Efficient ReRAM. IEEE Trans. Computers Aayush Ankit, Izzat El Hajj, Sai Rahul Chalamalasetti, Sapan Agarwal, Matthew J. Marinella, Martin Foltin, John Paul Strachan, Dejan S. Milojicic, Wen-Mei Hwu, Kaushik Roy
2020	—	`conf`	SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems. MLSys Xiaofan Zhang, Haoming Lu, Cong Hao, Jiachen Li, Bowen Cheng, Yuhong Li, Kyle Rupnow, Jinjun Xiong, Thomas S. Huang, Honghui Shi, Wen-Mei Hwu, Deming Chen
2020	A	`conf`	The design and implementation of the wolfram language compiler. CGO Abdul Dakkak, Tom Wickham-Jones, Wen-Mei Hwu
2020	—	`conf`	Vertext: An End-to-end AI Powered Conversation Management System for Multi-party Chat Platforms. CSCW Companion Omer Anjum, Chak Ho Chan, Tanitpong Lawphongpanich, Yucheng Liang, Tianyi Tang, Shuchen Zhang, Wen-Mei Hwu, Jinjun Xiong, Sanjay Patel
2020	A	`conf`	XSP: Across-Stack Profiling and Analysis of Machine Learning Models on GPUs. IPDPS Cheng Li, Abdul Dakkak, Jinjun Xiong, Wei Wei, Lingjie Xu, Wen-Mei Hwu
2019	J	`jnl`	A Retrospective Recount of Computer Architecture Research with a Data-Driven Study of Over Four Decades of ISCA Publications. CoRR Omer Anjum, Wen-Mei Hwu, Jinjun Xiong
2019	J	`jnl`	Across-Stack Profiling and Characterization of Machine Learning Models on GPUs. CoRR Cheng Li, Abdul Dakkak, Jinjun Xiong, Wei Wei, Lingjie Xu, Wen-Mei Hwu
2019	—	`conf`	An Efficient GPU Implementation Technique for Higher-Order 3D Stencils. HPCC/SmartCity/DSS Omer Anjum, Simon Garcia De Gonzalo, Mert Hidayetoglu, Wen-Mei Hwu
2019	B	`conf`	Analysis and Optimization of I/O Cache Coherency Strategies for SoC-FPGA Device. FPL Seungwon Min, Sitao Huang, Mohamed El-Hadedy, Jinjun Xiong, Deming Chen, Wen-Mei Hwu
2019	J	`jnl`	Analysis and Optimization of I/O Cache Coherency Strategies for SoC-FPGA Device. CoRR Seungwon Min, Sitao Huang, Mohamed El-Hadedy, Jinjun Xiong, Deming Chen, Wen-Mei Hwu
2019	A	`conf`	Automatic Generation of Warp-Level Primitives and Atomic Instructions for Fast and Portable Parallel Reduction on GPUs. CGO Simon Garcia De Gonzalo, Sitao Huang, Juan Gómez-Luna, Simon D. Hammond, Onur Mutlu, Wen-Mei Hwu
2019	J	`jnl`	Benanza: Automatic μBenchmark Generation to Compute "Lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUs. CoRR Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei Hwu
2019	J	`jnl`	Challenges and Pitfalls of Reproducing Machine Learning Artifacts. CoRR Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei Hwu
2019	A*	`conf`	DeepStore: In-Storage Acceleration for Intelligent Queries. MICRO Vikram Sharma Mailthody, Zaid Qureshi, Weixin Liang, Ziyan Feng, Simon Garcia De Gonzalo, Youjie Li, Hubertus Franke, Jinjun Xiong, Jian Huang, Wen-Mei Hwu
2019	B	`conf`	Evaluating Characteristics of CUDA Communication Primitives on High-Bandwidth Interconnects. ICPE Carl Pearson, Abdul Dakkak, Sarah Hashash, Cheng Li, I-Hsin Chung, Jinjun Xiong, Wen-Mei Hwu
2019	A*	`conf`	FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge. DAC Cong Hao, Xiaofan Zhang, Yuhong Li, Sitao Huang, Jinjun Xiong, Kyle Rupnow, Wen-Mei Hwu, Deming Chen
2019	J	`jnl`	FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge. CoRR Cong Hao, Xiaofan Zhang, Yuhong Li, Sitao Huang, Jinjun Xiong, Kyle Rupnow, Wen-Mei Hwu, Deming Chen
2019	—	`conf`	Implementing neural machine translation with bi-directional GRU and attention mechanism on FPGAs using HLS. ASP-DAC Qin Li, Xiaofan Zhang, Jinjun Xiong, Wen-Mei Hwu, Deming Chen
2019	B	`conf`	MLModelScope: Evaluate and Introspect Cognitive Pipelines. SERVICES Cheng Li, Abdul Dakkak, Jinjun Xiong, Wen-Mei Hwu
2019	A	`conf`	NAIS: Neural Architecture and Implementation Search and its Applications in Autonomous Driving. ICCAD Cong Hao, Yao Chen, Xinheng Liu, Atif Sarwari, Daryl Sew, Ashutosh Dhar, Bryan Wu, Dongdong Fu, Jinjun Xiong, Wen-Mei Hwu, Junli Gu, Deming Chen
2019	J	`jnl`	NAIS: Neural Architecture and Implementation Search and its Applications in Autonomous Driving. CoRR Cong Hao, Yao Chen, Xinheng Liu, Atif Sarwari, Daryl Sew, Ashutosh Dhar, Bryan Wu, Dongdong Fu, Jinjun Xiong, Wen-Mei Hwu, Junli Gu, Deming Chen
2019	J	`jnl`	PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference. CoRR Aayush Ankit, Izzat El Hajj, Sai Rahul Chalamalasetti, Geoffrey Ndu, Martin Foltin, R. Stanley Williams, Paolo Faraboschi, Wen-Mei Hwu, John Paul Strachan, Kaushik Roy, Dejan S. Milojicic
2019	—	`conf`	PaRe: A Paper-Reviewer Matching Approach Using a Common Topic Space. EMNLP/IJCNLP (1) Omer Anjum, Hongyu Gong, Suma Bhat, Wen-Mei Hwu, Jinjun Xiong
2019	J	`jnl`	PaRe: A Paper-Reviewer Matching Approach Using a Common Topic Space. CoRR Omer Anjum, Hongyu Gong, Suma Bhat, Wen-Mei Hwu, Jinjun Xiong
2019	J	`jnl`	Reinforcement Learning Based Text Style Transfer without Parallel Training Corpus. CoRR Hongyu Gong, Suma Bhat, Lingfei Wu, Jinjun Xiong, Wen-Mei Hwu
2019	A*	`conf`	SPGNet: Semantic Prediction Guidance for Scene Parsing. ICCV Bowen Cheng, Liang-Chieh Chen, Yunchao Wei, Yukun Zhu, Zilong Huang, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Honghui Shi
2019	J	`jnl`	SPGNet: Semantic Prediction Guidance for Scene Parsing. CoRR Bowen Cheng, Liang-Chieh Chen, Yunchao Wei, Yukun Zhu, Zilong Huang, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Honghui Shi
2019	J	`jnl`	SkyNet: A Champion Model for DAC-SDC on Low Power Object Detection. CoRR Xiaofan Zhang, Cong Hao, Haoming Lu, Jiachen Li, Yuhong Li, Yuchen Fan, Kyle Rupnow, Jinjun Xiong, Thomas S. Huang, Honghui Shi, Wen-Mei Hwu, Deming Chen
2019	B	`conf`	TrIMS: Transparent and Isolated Model Sharing for Low Latency Deep Learning Inference in Function-as-a-Service. CLOUD Abdul Dakkak, Cheng Li, Simon Garcia De Gonzalo, Jinjun Xiong, Wen-Mei Hwu
2018	J	`jnl`	Accelerator Architectures A Ten-Year Retrospective. IEEE Micro Wen-Mei Hwu, Sanjay J. Patel
2018	—	`conf`	Collaborative (CPU + GPU) Algorithms for Triangle Counting and Truss Decomposition. HPEC Vikram S. Mailthody, Ketan Date, Zaid Qureshi, Carl Pearson, Rakesh Nagi, Jinjun Xiong, Wen-Mei Hwu
2018	—	`conf`	Hardware-Software Co-Design for an Analog-Digital Accelerator for Machine Learning. ICRC Joao Ambrosi, Aayush Ankit, Rodrigo Antunes, Sai Rahul Chalamalasetti, Soumitra Chatterjee, Izzat El Hajj, Guilherme Fachini, Paolo Faraboschi, Martin Foltin, Sitao Huang, Wen-Mei Hwu, Gustavo Knuppe, Sunil Vishwanathpur Lakshminarasimha, Dejan S. Milojicic, Mohan Parthasarathy, Filipe Ribeiro, Lucas Rosa, Kaushik Roy, Plínio Silveira, John Paul Strachan
2018	—	`conf`	NUMA-Aware Data-Transfer Measurements for Power/NVLink Multi-GPU Systems. ISC Workshops Carl Pearson, I-Hsin Chung, Zehra Sura, Wen-Mei Hwu, Jinjun Xiong
2018	J	`jnl`	Semi-Coherent DMA: An Alternative I/O Coherency Management for Embedded Systems. IEEE Comput. Archit. Lett. Seungwon Min, Mohammad Alian, Wen-Mei Hwu, Nam Sung Kim
2018	—	`conf`	Triangle Counting and Truss Decomposition using FPGA. HPEC Sitao Huang, Mohamed El-Hadedy, Cong Hao, Qin Li, Vikram S. Mailthody, Ketan Date, Jinjun Xiong, Deming Chen, Rakesh Nagi, Wen-Mei Hwu
2017	—	`conf`	Enabling GPU Support for the COMPSs-Mobile Framework. WACCPD@SC Francesc Lordan, Rosa M. Badia, Wen-Mei Hwu
1990	J	`jnl`	Snoopy cache test-and-test-and-set without execessive bus contention. SIGARCH Comput. Archit. News Andy Glew, Wen-Mei Hwu