Hang Liu

According to our database, Hang Liu authored at least 78 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

TeGraph+: Scalable Temporal Graph Processing Enabling Flexible Edge Modifications.

Chengying Huan, Yongchao Liu, Heng Zhang, Hang Liu, Shiyang Chen, Shuaiwen Leon Song, Yanjun Wu

IEEE Trans. Parallel Distributed Syst., August, 2024

<i>TEA+</i>: A Novel Temporal Graph Random Walk Engine with Hybrid Storage Architecture.

Chengying Huan, Yongchao Liu, Heng Zhang, Shuaiwen Song, Santosh Pandey, Shiyang Chen, Xiangfei Fang, Yue Jin, Baptiste Lepers, Yanjun Wu, Hang Liu

ACM Trans. Archit. Code Optim., June, 2024

TAO: Re-Thinking DL-based Microarchitecture Simulation.

Santosh Pandey, Amir Yazdanbakhsh, Hang Liu

Proc. ACM Meas. Anal. Comput. Syst., 2024

Zero-Space Cost Fault Tolerance for Transformer-based Language Models on ReRAM.

Bingbing Li, Geng Yuan, Zigeng Wang, Shaoyi Huang, Hongwu Peng, Payman Behnam, Wujie Wen, Hang Liu, Caiwen Ding

CoRR, 2024

2023

Motif-Based Graph Representation Learning with Application to Chemical Molecules.

Yifei Wang, Shiyang Chen, Guobin Chen, Ethan Shurberg, Hang Liu, Pengyu Hong

Informatics, March, 2023

DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies.

Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens

CoRR, 2023

Tango: rethinking quantization for graph neural network training on GPUs.

Shiyang Chen, Da Zheng, Caiwen Ding, Chengying Huan, Yuede Ji, Hang Liu

CoRR, 2023

ezLDA: Efficient and Scalable LDA on GPUs.

Shilong Wang, Hang Liu, Anil Gaihre, Hengyong Yu

IEEE Access, 2023

PeeK: A Prune-Centric Approach for K Shortest Path Computation.

Wang Feng, Shiyang Chen, Hang Liu, Yuede Ji

Proceedings of the International Conference for High Performance Computing, 2023

TANGO: re-thinking quantization for graph neural network training on GPUs.

Shiyang Chen, Da Zheng, Caiwen Ding, Chengying Huan, Yuede Ji, Hang Liu

Proceedings of the International Conference for High Performance Computing, 2023

Understanding Node Allocation on Leadership-Class Supercomputers with Graph Analytics.

Andy Trinh, Shivam Sheth, Anil Gaihre, Caiwen Ding, Jieyang Chen, Feiyi Wang, David Pugmire, Scott Klasky, Hang Liu, Lipeng Wan

Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

TEA: A General-Purpose Temporal Graph Random Walk Engine.

Chengying Huan, Shuaiwen Leon Song, Santosh Pandey, Hang Liu, Yongchao Liu, Baptiste Lepers, Changhua He, Kang Chen, Jinlei Jiang, Yongwei Wu

Proceedings of the Eighteenth European Conference on Computer Systems, 2023

2022

PM-LSH: a fast and accurate in-memory framework for high-dimensional approximate NN and closest pair search.

Bolong Zheng, Xi Zhao, Lianggui Weng, Quoc Viet Hung Nguyen, Hang Liu, Christian S. Jensen

VLDB J., 2022

gSoFa: Scalable Sparse Symbolic LU Factorization on GPUs.

Anil Gaihre, Xiaoye Sherry Li, Hang Liu

IEEE Trans. Parallel Distributed Syst., 2022

iSpan: Parallel Identification of Strongly Connected Components with Spanning Trees.

Yuede Ji, Hang Liu, Yang Hu, H. Howie Huang

ACM Trans. Parallel Comput., 2022

SimNet: Accurate and High-Performance Computer Architecture Simulation using Deep Learning.

Lingda Li, Santosh Pandey, Thomas Flynn, Hang Liu, Noel Wheeler, Adolfy Hoisie

Proc. ACM Meas. Anal. Comput. Syst., 2022

Scalable Deep Learning-Based Microarchitecture Simulation on GPUs.

Santosh Pandey, Lingda Li, Thomas Flynn, Adolfy Hoisie, Hang Liu

Proceedings of the SC22: International Conference for High Performance Computing, 2022

Variance of the Gradient Also Matters: Privacy Leakage from Gradients.

Yijue Wang, Jieren Deng, Dan Guo, Chenghong Wang, Xianrui Meng, Hang Liu, Chao Shang, Binghui Wang, Qin Cao, Caiwen Ding, Sanguthevar Rajasekaran

Proceedings of the International Joint Conference on Neural Networks, 2022

Bring orders into uncertainty: enabling efficient uncertain graph processing via novel path sampling on multi-accelerator systems.

Heng Zhang, Lingda Li, Hang Liu, Donglin Zhuang, Rui Liu, Chengying Huan, Shuang Song, Dingwen Tao, Yongchao Liu, Charles He, Yanjun Wu, Shuaiwen Leon Song

Proceedings of the ICS '22: 2022 International Conference on Supercomputing, Virtual Event, June 28, 2022

TeGraph: A Novel General-Purpose Temporal Graph Computing Engine.

Chengying Huan, Hang Liu, Mengxing Liu, Yongchao Liu, Changhua He, Kang Chen, Jinlei Jiang, Yongwei Wu, Shuaiwen Leon Song

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

A length adaptive algorithm-hardware co-design of transformer on FPGA through sparse attention and dynamic pipelining.

Hongwu Peng, Shaoyi Huang, Shiyang Chen, Bingbing Li, Tong Geng, Ang Li, Weiwen Jiang, Wujie Wen, Jinbo Bi, Hang Liu, Caiwen Ding

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm.

Shaoyi Huang, Dongkuan Xu, Ian En-Hsu Yen, Yijue Wang, Sung-En Chang, Bingbing Li, Shiyang Chen, Mimi Xie, Sanguthevar Rajasekaran, Hang Liu, Caiwen Ding

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

T-GCN: A Sampling Based Streaming Graph Neural Network System with Hybrid Architecture.

Chengying Huan, Shuaiwen Leon Song, Yongchao Liu, Heng Zhang, Hang Liu, Charles He, Kang Chen, Jinlei Jiang, Yongwei Wu

Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2021

Trust: Triangle Counting Reloaded on GPUs.

Santosh Pandey, Zhibin Wang, Sheng Zhong, Chen Tian, Bolong Zheng, Xiaoye S. Li, Lingda Li, Adolfy Hoisie, Caiwen Ding, Dong Li, Hang Liu

IEEE Trans. Parallel Distributed Syst., 2021

Optimizing Job Reliability Through Contention-Free, Distributed Checkpoint Scheduling.

Yu Xiang, Hang Liu, Tian Lan, H. Howie Huang, Suresh Subramaniam

IEEE Trans. Netw. Serv. Manag., 2021

Detecting Gender Bias in Transformer-based Models: A Case Study on BERT.

Bingbing Li, Hongwu Peng, Rajat Sainju, Junhuan Yang, Lei Yang, Yueying Liang, Weiwen Jiang, Binghui Wang, Hang Liu, Caiwen Ding

CoRR, 2021

Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm.

Shaoyi Huang, Dongkuan Xu, Ian En-Hsu Yen, Sung-En Chang, Bingbing Li, Shiyang Chen, Mimi Xie, Hang Liu, Caiwen Ding

CoRR, 2021

Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search.

Hongwu Peng, Shiyang Chen, Zhepeng Wang, Junhuan Yang, Scott A. Weitze, Tong Geng, Ang Li, Jinbo Bi, Minghu Song, Weiwen Jiang, Hang Liu, Caiwen Ding

CoRR, 2021

Binary Complex Neural Network Acceleration on FPGA.

Hongwu Peng, Shanglin Zhou, Scott Weitze, Jiaxin Li, Sahidul Islam, Tong Geng, Ang Li, Wei Zhang, Minghu Song, Mimi Xie, Hang Liu, Caiwen Ding

CoRR, 2021

SimNet: Computer Architecture Simulation using Machine Learning.

Lingda Li, Santosh Pandey, Thomas Flynn, Hang Liu, Noel Wheeler, Adolfy Hoisie

CoRR, 2021

TAG: Transformer Attack from Gradient.

Jieren Deng, Yijue Wang, Ji Li, Chao Shang, Hang Liu, Sanguthevar Rajasekaran, Caiwen Ding

CoRR, 2021

Universal location referencing and homomorphic evaluation of geospatial query.

Asma Aloufi, Peizhao Hu, Hang Liu, Sherman S. M. Chow, Kim-Kwang Raymond Choo

Comput. Secur., 2021

Dr. Top-k: delegate-centric Top-k on GPUs.

Anil Gaihre, Da Zheng, Scott Weitze, Lingda Li, Shuaiwen Leon Song, Caiwen Ding, Xiaoye S. Li, Hang Liu

Proceedings of the International Conference for High Performance Computing, 2021

E.T.: re-thinking self-attention for transformer models on GPUs.

Shiyang Chen, Shaoyi Huang, Santosh Pandey, Bingbing Li, Guang R. Gao, Long Zheng, Caiwen Ding, Hang Liu

Proceedings of the International Conference for High Performance Computing, 2021

Accelerating Transformer-based Deep Learning Models on FPGAs using Column Balanced Block Pruning.

Hongwu Peng, Shaoyi Huang, Tong Geng, Ang Li, Weiwen Jiang, Hang Liu, Shusen Wang, Caiwen Ding

Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021

FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator.

Geng Yuan, Payman Behnam, Zhengang Li, Ali Shafiee, Sheng Lin, Xiaolong Ma, Hang Liu, Xuehai Qian, Mahdi Nazm Bojnordi, Yanzhi Wang, Caiwen Ding

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

Against Membership Inference Attack: Pruning is All You Need.

Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search (Special Session Paper).

Hongwu Peng, Shiyang Chen, Zhepeng Wang, Junhuan Yang, Scott A. Weitze, Tong Geng, Ang Li, Jinbo Bi, Minghu Song, Weiwen Jiang, Hang Liu, Caiwen Ding

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

HMC-TRAN: A Tensor-core Inspired Hierarchical Model Compression for Transformer-based DNNs on GPU.

Shaoyi Huang, Shiyang Chen, Hongwu Peng, Daniel Manu, Zhenglun Kong, Geng Yuan, Lei Yang, Shusen Wang, Hang Liu, Caiwen Ding

Proceedings of the GLSVLSI '21: Great Lakes Symposium on VLSI 2021, 2021

Tahoe: tree structure-aware high performance inference engine for decision tree ensemble on GPU.

Zhen Xie, Wenqian Dong, Jiawen Liu, Hang Liu, Dong Li

Proceedings of the EuroSys '21: Sixteenth European Conference on Computer Systems, 2021

TAG: Gradient Attack on Transformer-based Language Models.

Jieren Deng, Yijue Wang, Ji Li, Chenghong Wang, Chao Shang, Hang Liu, Sanguthevar Rajasekaran, Caiwen Ding

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Binary Complex Neural Network Acceleration on FPGA : (Invited Paper).

Hongwu Peng, Shanglin Zhou, Scott Weitze, Jiaxin Li, Sahidul Islam, Tong Geng, Ang Li, Wei Zhang, Minghu Song, Mimi Xie, Hang Liu, Caiwen Ding

Proceedings of the 32nd IEEE International Conference on Application-specific Systems, 2021

2020

PM-LSH: A Fast and Accurate LSH Framework for High-Dimensional Approximate NN Search.

Bolong Zheng, Xi Zhao, Lianggui Weng, Nguyen Quoc Viet Hung, Hang Liu, Christian S. Jensen

Proc. VLDB Endow., 2020

SAPAG: A Self-Adaptive Privacy Attack From Gradients.

Yijue Wang, Jieren Deng, Dan Guo, Chenghong Wang, Xianrui Meng, Hang Liu, Caiwen Ding, Sanguthevar Rajasekaran

CoRR, 2020

MCMIA: Model Compression Against Membership Inference Attack in Deep Neural Networks.

Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran

CoRR, 2020

GSoFa: Scalable Sparse LU Symbolic Factorization on GPUs.

Anil Gaihre, Xiaoye S. Li, Hang Liu

CoRR, 2020

C-SAW: a framework for graph sampling and random walk on GPUs.

Santosh Pandey, Lingda Li, Adolfy Hoisie, Xiaoye S. Li, Hang Liu

Proceedings of the International Conference for High Performance Computing, 2020

ELDA: LDA made efficient via algorithm-system codesign submission.

Shilong Wang, Da Li, Hengyong Yu, Hang Liu

Proceedings of the PPoPP '20: 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2020

FTRANS: energy-efficient acceleration of transformers using FPGA.

Bingbing Li, Santosh Pandey, Haowen Fang, Yanjun Lyv, Ji Li, Jieyang Chen, Mimi Xie, Lipeng Wan, Hang Liu, Caiwen Ding

Proceedings of the ISLPED '20: ACM/IEEE International Symposium on Low Power Electronics and Design, 2020

BranchSpec: Information Leakage Attacks Exploiting Speculative Branch Instruction Executions.

Md Hafizul Islam Chowdhuryy, Hang Liu, Fan Yao

Proceedings of the 38th IEEE International Conference on Computer Design, 2020

FFT-based Gradient Sparsification for the Distributed Training of Deep Neural Networks.

Linnan Wang, Wei Wu, Junyu Zhang, Hang Liu, George Bosilca, Maurice Herlihy, Rodrigo Fonseca

Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020

SWARMGRAPH: Analyzing Large-Scale In-Memory Graphs on GPUs.

Yuede Ji, Hang Liu, H. Howie Huang

Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

FTDL: An FPGA-tailored Architecture for Deep Learning Systems.

Runbin Shi, Yuhao Ding, Xuechao Wei, Hang Liu, Hayden Kwok-Hay So, Caiwen Ding

Proceedings of the FPGA '20: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2020

Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning.

Bingbing Li, Zhenglun Kong, Tianyun Zhang, Ji Li, Zhengang Li, Hang Liu, Caiwen Ding

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

FTDL: A Tailored FPGA-Overlay for Deep Learning with High Scalability.

Runbin Shi, Yuhao Ding, Xuechao Wei, He Li, Hang Liu, Hayden Kwok-Hay So, Caiwen Ding

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019

Universal Location Referencing and Homomorphic Evaluation of Geospatial Query.

Asma Aloufi, Peizhao Hu, Hang Liu, Sherman S. M. Chow

IACR Cryptol. ePrint Arch., 2019

SIMD-X: Programming and Processing of Graph Algorithms on GPUs.

Hang Liu, H. Howie Huang

Proceedings of the 2019 USENIX Annual Technical Conference, 2019

CECI: Compact Embedding Cluster Index for Scalable Subgraph Matching.

Bibek Bhattarai, Hang Liu, H. Howie Huang

Proceedings of the 2019 International Conference on Management of Data, 2019

H-INDEX: Hash-Indexing for Parallel Triangle Counting on GPUs.

Santosh Pandey, Xiaoye Sherry Li, Aydin Buluç, Jiejun Xu, Hang Liu

Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

XBFS: eXploring Runtime Optimizations for Breadth-First Search on GPUs.

Anil Gaihre, Zhenlin Wu, Fan Yao, Hang Liu

Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing, 2019

Software Hardware Co-Optimized BFS on FPGAs.

Zachary Sherer, Eric Finnerty, Yan Luo, Hang Liu

Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

Dr. BFS: Data Centric Breadth-First Search on FPGAs.

Eric Finnerty, Zachary Sherer, Hang Liu, Yan Luo

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

Deanonymizing Cryptocurrency With Graph Learning: The Promises and Challenges.

Anil Gaihre, Santosh Pandey, Hang Liu

Proceedings of the 7th IEEE Conference on Communications and Network Security, 2019

2018

SuperNeurons: FFT-based Gradient Sparsification in the Distributed Training of Deep Neural Networks.

Linnan Wang, Wei Wu, Yiyang Zhao, Junyu Zhang, Hang Liu, George Bosilca, Jack J. Dongarra, Maurice Herlihy, Rodrigo Fonseca

CoRR, 2018

iSpan: parallel identification of strongly connected components with spanning trees.

Yuede Ji, Hang Liu, H. Howie Huang

Proceedings of the International Conference for High Performance Computing, 2018

TriCore: parallel triangle counting on GPUs.

Yang Hu, Hang Liu, H. Howie Huang

Proceedings of the International Conference for High Performance Computing, 2018

High-Performance Triangle Counting on GPUs.

Yang Hu, Hang Liu, H. Howie Huang

Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

UKSM: Swift Memory Deduplication via Hierarchical and Adaptive Memory Region Distilling.

Nai Xia, Chen Tian, Yan Luo, Hang Liu, Xiaoliang Wang

Proceedings of the 16th USENIX Conference on File and Storage Technologies, 2018

Do Bitcoin Users Really Care About Anonymity? An Analysis of the Bitcoin Transaction Graph.

Anil Gaihre, Yan Luo, Hang Liu

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Graphene: Fine-Grained IO Management for Graph Computing.

Hang Liu, H. Howie Huang

Proceedings of the 15th USENIX Conference on File and Storage Technologies, 2017

2016

Computational modeling of cardiac hemodynamics: Current status and future outlook.

Rajat Mittal, Jung Hee Seo, Vijay Vedula, Young J. Choi, Hang Liu, H. Howie Huang, Saurabh Jain, Laurent Younes, Theodore Abraham, Richard T. George

J. Comput. Phys., 2016

iBFS: Concurrent Breadth-First Search on GPUs.

Hang Liu, H. Howie Huang, Yang Hu

Proceedings of the 2016 International Conference on Management of Data, 2016

2015

Enterprise: breadth-first graph traversal on GPUs.

Hang Liu, H. Howie Huang

Proceedings of the International Conference for High Performance Computing, 2015

2014

Optimizing job reliability via contention-free, distributed scheduling of vm checkpointing.

Yu Xiang, Hang Liu, Tian Lan, H. Howie Huang, Suresh Subramaniam

Proceedings of the 2014 ACM SIGCOMM workshop on Distributed cloud computing, 2014

Big data machine learning and graph analytics: Current state and future challenges.

H. Howie Huang, Hang Liu

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013

GPU-accelerated scalable solver for banded linear systems.

Hang Liu, Jung Hee Seo, Rajat Mittal, H. Howie Huang

Proceedings of the 2013 IEEE International Conference on Cluster Computing, 2013

2012

Abstract: Matrix Decomposition Based Conjugate Gradient Solver for Poisson Equation.

Hang Liu, Jung Hee Seo, Rajat Mittal, H. Howie Huang

Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Poster: Matrix Decomposition Based Conjugate Gradient Solver for Poisson Equation.

Hang Liu, Jung Hee Seo, Rajat Mittal

Proceedings of the 2012 SC Companion: High Performance Computing, 2012