Hang Liu

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 68

Top Topics

Subgraph Matching

Hybrid Architecture

Top Venues

IEEE Trans. Parallel Distributed Syst.

Proc. ACM Meas. Anal. Comput. Syst.

Publications

Chengying Huan, Yongchao Liu, Heng Zhang, Shuaiwen Song, Santosh Pandey, Shiyang Chen, Xiangfei Fang, Yue Jin, Baptiste Lepers, Yanjun Wu, Hang Liu
: A Novel Temporal Graph Random Walk Engine with Hybrid Storage Architecture. ACM Trans. Archit. Code Optim. 21 (2) (2024)
Santosh Pandey, Amir Yazdanbakhsh, Hang Liu
TAO: Re-Thinking DL-based Microarchitecture Simulation. SIGMETRICS/Performance (Abstracts) (2024)
Santosh Pandey, Amir Yazdanbakhsh, Hang Liu
TAO: Re-Thinking DL-based Microarchitecture Simulation. Proc. ACM Meas. Anal. Comput. Syst. 8 (2) (2024)
Santosh Pandey, Amir Yazdanbakhsh, Hang Liu
Tao: Re-Thinking DL-based Microarchitecture Simulation. CoRR (2024)
Bingbing Li, Geng Yuan, Zigeng Wang, Shaoyi Huang, Hongwu Peng, Payman Behnam, Wujie Wen, Hang Liu, Caiwen Ding
Zero-Space Cost Fault Tolerance for Transformer-based Language Models on ReRAM. CoRR (2024)
Chengying Huan, Yongchao Liu, Heng Zhang, Hang Liu, Shiyang Chen, Shuaiwen Leon Song, Yanjun Wu
TeGraph+: Scalable Temporal Graph Processing Enabling Flexible Edge Modifications. IEEE Trans. Parallel Distributed Syst. 35 (8) (2024)
Shilong Wang, Hang Liu, Anil Gaihre, Hengyong Yu
ezLDA: Efficient and Scalable LDA on GPUs. IEEE Access 11 (2023)
Wang Feng, Shiyang Chen, Hang Liu, Yuede Ji
PeeK: A Prune-Centric Approach for K Shortest Path Computation. SC (2023)
Chengying Huan, Shuaiwen Leon Song, Santosh Pandey, Hang Liu, Yongchao Liu, Baptiste Lepers, Changhua He, Kang Chen, Jinlei Jiang, Yongwei Wu
TEA: A General-Purpose Temporal Graph Random Walk Engine. EuroSys (2023)
Andy Trinh, Shivam Sheth, Anil Gaihre, Caiwen Ding, Jieyang Chen, Feiyi Wang, David Pugmire, Scott Klasky, Hang Liu, Lipeng Wan
Understanding Node Allocation on Leadership-Class Supercomputers with Graph Analytics. HPCC/DSS/SmartCity/DependSys (2023)
Yifei Wang, Shiyang Chen, Guobin Chen, Ethan Shurberg, Hang Liu, Pengyu Hong
Motif-Based Graph Representation Learning with Application to Chemical Molecules. Informatics 10 (1) (2023)
Yijue Wang, Jieren Deng, Dan Guo, Chenghong Wang, Xianrui Meng, Hang Liu, Chao Shang, Binghui Wang, Qin Cao, Caiwen Ding, Sanguthevar Rajasekaran
Variance of the Gradient Also Matters: Privacy Leakage from Gradients. IJCNN (2022)
Yifei Wang, Shiyang Chen, Guobin Chen, Ethan Shurberg, Hang Liu, Pengyu Hong
Motif-based Graph Representation Learning with Application to Chemical Molecules. CoRR (2022)
Chengying Huan, Shuaiwen Leon Song, Yongchao Liu, Heng Zhang, Hang Liu, Charles He, Kang Chen, Jinlei Jiang, Yongwei Wu
T-GCN: A Sampling Based Streaming Graph Neural Network System with Hybrid Architecture. PACT (2022)
Lingda Li, Santosh Pandey, Thomas Flynn, Hang Liu, Noel Wheeler, Adolfy Hoisie
SimNet: Accurate and High-Performance Computer Architecture Simulation using Deep Learning. SIGMETRICS (Abstracts) (2022)
Anil Gaihre, Xiaoye Sherry Li, Hang Liu
gSoFa: Scalable Sparse Symbolic LU Factorization on GPUs. IEEE Trans. Parallel Distributed Syst. 33 (4) (2022)
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
Bring orders into uncertainty: enabling efficient uncertain graph processing via novel path sampling on multi-accelerator systems. ICS (2022)
Bolong Zheng, Xi Zhao, Lianggui Weng, Quoc Viet Hung Nguyen, Hang Liu, Christian S. Jensen
PM-LSH: a fast and accurate in-memory framework for high-dimensional approximate NN and closest pair search. VLDB J. 31 (6) (2022)
Chengying Huan, Hang Liu, Mengxing Liu, Yongchao Liu, Changhua He, Kang Chen, Jinlei Jiang, Yongwei Wu, Shuaiwen Leon Song
TeGraph: A Novel General-Purpose Temporal Graph Computing Engine. ICDE (2022)
Santosh Pandey, Lingda Li, Thomas Flynn, Adolfy Hoisie, Hang Liu
Scalable Deep Learning-Based Microarchitecture Simulation on GPUs. SC (2022)
Lingda Li, Santosh Pandey, Thomas Flynn, Hang Liu, Noel Wheeler, Adolfy Hoisie
SimNet: Accurate and High-Performance Computer Architecture Simulation using Deep Learning. Proc. ACM Meas. Anal. Comput. Syst. 6 (2) (2022)
Yuede Ji, Hang Liu, Yang Hu, H. Howie Huang
iSpan: Parallel Identification of Strongly Connected Components with Spanning Trees. ACM Trans. Parallel Comput. 9 (3) (2022)
Hongwu Peng, Shaoyi Huang, Shiyang Chen, Bingbing Li, Tong Geng, Ang Li, Weiwen Jiang, Wujie Wen, Jinbo Bi, Hang Liu, Caiwen Ding
A Length Adaptive Algorithm-Hardware Co-design of Transformer on FPGA Through Sparse Attention and Dynamic Pipelining. CoRR (2022)
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
Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm. ACL (1) (2022)
Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran
Against Membership Inference Attack: Pruning is All You Need. IJCAI (2021)
Shiyang Chen, Shaoyi Huang, Santosh Pandey, Bingbing Li, Guang R. Gao, Long Zheng, Caiwen Ding, Hang Liu
E.T.: re-thinking self-attention for transformer models on GPUs. SC (2021)
Bolong Zheng, Xi Zhao, Lianggui Weng, Nguyen Quoc Viet Hung, Hang Liu, Christian S. Jensen
PM-LSH: a fast and accurate in-memory framework for high-dimensional approximate NN and closest pair search. CoRR (2021)
Jieren Deng, Yijue Wang, Ji Li, Chao Shang, Hang Liu, Sanguthevar Rajasekaran, Caiwen Ding
TAG: Transformer Attack from Gradient. CoRR (2021)
Hongwu Peng, Shanglin Zhou, Scott Weitze, Jiaxin Li, Sahidul Islam, Tong Geng, Ang Li, Wei Zhang, Minghu Song, Mimi Xie, Hang Liu, Caiwen Ding
Binary Complex Neural Network Acceleration on FPGA. CoRR (2021)
Santosh Pandey, Zhibin Wang, Sheng Zhong, Chen Tian, Bolong Zheng, Xiaoye Li, Lingda Li, Adolfy Hoisie, Caiwen Ding, Dong Li, Hang Liu
Trust: Triangle Counting Reloaded on GPUs. IEEE Trans. Parallel Distributed Syst. 32 (11) (2021)
Geng Yuan, Payman Behnam, Zhengang Li, Ali Shafiee, Sheng Lin, Xiaolong Ma, Hang Liu, Xuehai Qian, Mahdi Nazm Bojnordi, Yanzhi Wang, Caiwen Ding
FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator. CoRR (2021)
Yu Xiang, Hang Liu, Tian Lan, H. Howie Huang, Suresh Subramaniam
Optimizing Job Reliability Through Contention-Free, Distributed Checkpoint Scheduling. IEEE Trans. Netw. Serv. Manag. 18 (2) (2021)
Bingbing Li, Hongwu Peng, Rajat Sainju, Junhuan Yang, Lei Yang, Yueying Liang, Weiwen Jiang, Binghui Wang, Hang Liu, Caiwen Ding
Detecting Gender Bias in Transformer-based Models: A Case Study on BERT. CoRR (2021)
Santosh Pandey, Zhibin Wang, Sheng Zhong, Chen Tian, Bolong Zheng, Xiaoye Li, Lingda Li, Adolfy Hoisie, Caiwen Ding, Dong Li, Hang Liu
TRUST: Triangle Counting Reloaded on GPUs. CoRR (2021)
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
Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search. CoRR (2021)
Shaoyi Huang, Shiyang Chen, Hongwu Peng, Daniel Manu, Zhenglun Kong, Geng Yuan, Lei Yang, Shusen Wang, Hang Liu, Caiwen Ding
HMC-TRAN: A Tensor-core Inspired Hierarchical Model Compression for Transformer-based DNNs on GPU. ACM Great Lakes Symposium on VLSI (2021)
Hongwu Peng, Shaoyi Huang, Tong Geng, Ang Li, Weiwen Jiang, Hang Liu, Shusen Wang, Caiwen Ding
Accelerating Transformer-based Deep Learning Models on FPGAs using Column Balanced Block Pruning. ISQED (2021)
Geng Yuan, Payman Behnam, Zhengang Li, Ali Shafiee, Sheng Lin, Xiaolong Ma, Hang Liu, Xuehai Qian, Mahdi Nazm Bojnordi, Yanzhi Wang, Caiwen Ding
FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator. ISCA (2021)
Zhen Xie, Wenqian Dong, Jiawen Liu, Hang Liu, Dong Li
Tahoe: tree structure-aware high performance inference engine for decision tree ensemble on GPU. EuroSys (2021)
Shaoyi Huang, Dongkuan Xu, Ian En-Hsu Yen, Sung-en Chang, Bingbing Li, Shiyang Chen, Mimi Xie, Hang Liu, Caiwen Ding
Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm. CoRR (2021)
Santosh Pandey, Lingda Li, Adolfy Hoisie, Xiaoye S. Li, Hang Liu
C-SAW: A Framework for Graph Sampling and Random Walk on GPUs. CoRR (2020)
Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran
MCMIA: Model Compression Against Membership Inference Attack in Deep Neural Networks. CoRR (2020)
Md Hafizul Islam Chowdhuryy, Hang Liu, Fan Yao
BranchSpec: Information Leakage Attacks Exploiting Speculative Branch Instruction Executions. ICCD (2020)
Yijue Wang, Jieren Deng, Dan Guo, Chenghong Wang, Xianrui Meng, Hang Liu, Caiwen Ding, Sanguthevar Rajasekaran
SAPAG: A Self-Adaptive Privacy Attack From Gradients. CoRR (2020)
Shilong Wang, Da Li, Hengyong Yu, Hang Liu
ELDA: LDA made efficient via algorithm-system codesign submission. PPoPP (2020)
Bingbing Li, Santosh Pandey, Haowen Fang, Yanjun Lyv, Ji Li, Jieyang Chen, Mimi Xie, Lipeng Wan, Hang Liu, Caiwen Ding
FTRANS: Energy-Efficient Acceleration of Transformers using FPGA. CoRR (2020)
Bolong Zheng, Xi Zhao, Lianggui Weng, Nguyen Quoc Viet Hung, Hang Liu, Christian S. Jensen
PM-LSH: A Fast and Accurate LSH Framework for High-Dimensional Approximate NN Search. Proc. VLDB Endow. 13 (5) (2020)
Bingbing Li, Santosh Pandey, Haowen Fang, Yanjun Lyv, Ji Li, Jieyang Chen, Mimi Xie, Lipeng Wan, Hang Liu, Caiwen Ding
FTRANS: energy-efficient acceleration of transformers using FPGA. ISLPED (2020)
Runbin Shi, Yuhao Ding, Xuechao Wei, He Li, Hang Liu, Hayden Kwok-Hay So, Caiwen Ding
FTDL: A Tailored FPGA-Overlay for Deep Learning with High Scalability. DAC (2020)
Runbin Shi, Yuhao Ding, Xuechao Wei, Hang Liu, Hayden Kwok-Hay So, Caiwen Ding
FTDL: An FPGA-tailored Architecture for Deep Learning Systems. FPGA (2020)
Santosh Pandey, Lingda Li, Adolfy Hoisie, Xiaoye S. Li, Hang Liu
C-SAW: a framework for graph sampling and random walk on GPUs. SC (2020)
Bingbing Li, Zhenglun Kong, Tianyun Zhang, Ji Li, Zhengang Li, Hang Liu, Caiwen Ding
Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning. EMNLP (Findings) (2020)
Yuede Ji, Hang Liu, H. Howie Huang
SWARMGRAPH: Analyzing Large-Scale In-Memory Graphs on GPUs. HPCC/DSS/SmartCity (2020)
Linnan Wang, Wei Wu, Junyu Zhang, Hang Liu, George Bosilca, Maurice Herlihy, Rodrigo Fonseca
FFT-based Gradient Sparsification for the Distributed Training of Deep Neural Networks. HPDC (2020)
Bingbing Li, Zhenglun Kong, Tianyun Zhang, Ji Li, Zhengang Li, Hang Liu, Caiwen Ding
Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning. CoRR (2020)
Bibek Bhattarai, Hang Liu, H. Howie Huang
CECI: Compact Embedding Cluster Index for Scalable Subgraph Matching. SIGMOD Conference (2019)
Anil Gaihre, Zhenlin Wu, Fan Yao, Hang Liu
XBFS: eXploring Runtime Optimizations for Breadth-First Search on GPUs. HPDC (2019)
Zachary Sherer, Eric Finnerty, Yan Luo, Hang Liu
Software Hardware Co-Optimized BFS on FPGAs. FPGA (2019)
Hang Liu, H. Howie Huang
SIMD-X: Programming and Processing of Graph Algorithms on GPUs. USENIX Annual Technical Conference (2019)
Eric Finnerty, Zachary Sherer, Hang Liu, Yan Luo
Dr. BFS: Data Centric Breadth-First Search on FPGAs. DAC (2019)
Yuede Ji, Hang Liu, H. Howie Huang
iSpan: parallel identification of strongly connected components with spanning trees. SC (2018)
Nai Xia, Chen Tian, Yan Luo, Hang Liu, Xiaoliang Wang
UKSM: Swift Memory Deduplication via Hierarchical and Adaptive Memory Region Distilling. FAST (2018)
Yang Hu, Hang Liu, H. Howie Huang
High-Performance Triangle Counting on GPUs. HPEC (2018)
Yang Hu, Hang Liu, H. Howie Huang
TriCore: parallel triangle counting on GPUs. SC (2018)
Hang Liu, H. Howie Huang
SIMD-X: Programming and Processing of Graph Algorithms on GPUs. CoRR (2018)
Hang Liu, H. Howie Huang
Graphene: Fine-Grained IO Management for Graph Computing. FAST (2017)
Hang Liu, H. Howie Huang, Yang Hu
iBFS: Concurrent Breadth-First Search on GPUs. SIGMOD Conference (2016)
Rajat Mittal, Jung Hee Seo, Vijay Vedula, Young J. Choi, Hang Liu, H. Howie Huang, Saurabh Jain, Laurent Younes, Theodore Abraham, Richard T. George
Computational modeling of cardiac hemodynamics: Current status and future outlook. J. Comput. Phys. 305 (2016)
Hang Liu, H. Howie Huang
Enterprise: breadth-first graph traversal on GPUs. SC (2015)
Yu Xiang, Hang Liu, Tian Lan, H. Howie Huang, Suresh Subramaniam
Optimizing job reliability via contention-free, distributed scheduling of vm checkpointing. DCC@SIGCOMM (2014)
H. Howie Huang, Hang Liu
Big data machine learning and graph analytics: Current state and future challenges. IEEE BigData (2014)
Hang Liu, Jung Hee Seo, Rajat Mittal, H. Howie Huang
GPU-accelerated scalable solver for banded linear systems. CLUSTER (2013)
Hang Liu, Jung Hee Seo, Rajat Mittal, H. Howie Huang
Abstract: Matrix Decomposition Based Conjugate Gradient Solver for Poisson Equation. SC Companion (2012)
Hang Liu, Jung Hee Seo, Rajat Mittal
Poster: Matrix Decomposition Based Conjugate Gradient Solver for Poisson Equation. SC Companion (2012)