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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2023
[j13]Lijun Zhang
, Qizheng Yang, Xiao Liu, Hui Guan:
An Alternative Hard-Parameter Sharing Paradigm for Multi-Domain Learning. IEEE Access 11: 10440-10452 (2023)- [j12]Na Chen, Jingyu Zhou, Hui Guan, Nan Xu, Sheng Xue, Shuting Li, Zhiqiong Liu:
5G Charging Mechanism Based on Dynamic Step Size. IEEE Access 11: 15069-15081 (2023) - [c38]Chuncheng Chi, Fuxue Li, Hong Yan, Hui Guan, Zhongchao Zhao:
A Data Augmentation Method Based on Sub-tree Exchange for Low-Resource Neural Machine Translation. ICIC (4) 2023: 646-657 - [c37]Jinlin Lai, Javier Burroni, Hui Guan, Daniel Sheldon:
Automatically marginalized MCMC in probabilistic programming. ICML 2023: 18301-18318 - [c36]Kunjal Panchal, Sunav Choudhary, Subrata Mitra, Koyel Mukherjee, Somdeb Sarkhel, Saayan Mitra, Hui Guan:
Flash: Concept Drift Adaptation in Federated Learning. ICML 2023: 26931-26962 - [c35]Hanmei Yang, Xin Zhao, Jin Zhou, Wei Wang, Sandip Kundu, Bo Wu, Hui Guan, Tongping Liu:
NUMAlloc: A Faster NUMA Memory Allocator. ISMM 2023: 97-110 - [c34]Jin Huang, Hui Guan, Deepak Ganesan:
Re-thinking computation offload for efficient inference on IoT devices with duty-cycled radios. MobiCom 2023: 13:1-13:15 - [i18]Jinlin Lai, Javier Burroni, Hui Guan, Daniel Sheldon:
Automatically Marginalized MCMC in Probabilistic Programming. CoRR abs/2302.00564 (2023) - [i17]Sandeep Polisetty, Juelin Liu, Kobi Falus, Yi Ren Fung, Seung-Hwan Lim, Hui Guan, Marco Serafini:
GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism. CoRR abs/2303.13775 (2023) - [i16]Siddhant Garg, Lijun Zhang, Hui Guan:
Structured Pruning for Multi-Task Deep Neural Networks. CoRR abs/2304.06840 (2023) - [i15]Lijun Zhang, Xiao Liu, Kaleel Mahmood, Caiwen Ding, Hui Guan:
Dynamic Gradient Balancing for Enhanced Adversarial Attacks on Multi-Task Models. CoRR abs/2305.12066 (2023) - 2022
- [j11]Hui Guan, Hang Liu, Qia Zhang, Jingyu Tang, Jianxiong Zou, Ling Kang, Menghan Hu, Jian Zhang:
Encoding Multiple Information into European Article Number (EAN)-13 Codes with Various Chromic Sensing Materials to Construct Intelligent Barcodes. Adv. Intell. Syst. 4(1) (2022) - [c33]Lijun Zhang, Xiao Liu, Hui Guan:
A Tree-Structured Multi-Task Model Recommender. AutoML 2022: 10/1-12 - [c32]Zifan Nan, Xipeng Shen, Hui Guan:
Enabling Near Real-Time NLU-Driven Natural Language Programming through Dynamic Grammar Graph-Based Translation. CGO 2022: 278-289 - [c31]Hui Guan, Tianyu Ma, Guangwei Wang:
An Improved Dissimilarity based Approach to Semantic Similarity Calculation. DSA 2022: 1023-1028 - [c30]Xuyan Sun, Hui Guan:
Research on Empathic Remediation Mechanism of Chatbots Mediated by Social Presence and Trust. EITCE 2022: 772-776 - [c29]Lijun Zhang, Qizheng Yang, Xiao Liu, Hui Guan:
Rethinking Hard-Parameter Sharing in Multi-Domain Learning. ICME 2022: 1-6 - [c28]Lijun Zhang, Xiao Liu, Hui Guan:
AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning. NeurIPS 2022 - [i14]Lijun Zhang, Xiao Liu, Hui Guan:
A Tree-Structured Multi-Task Model Recommender. CoRR abs/2203.05092 (2022) - [i13]Yili Shen, Jiaxu Yan, Cheng-Wei Ju, Jun Yi, Zhou Lin, Hui Guan:
Improving Subgraph Representation Learning via Multi-View Augmentation. CoRR abs/2205.13038 (2022) - [i12]Xiao Liu, Lijun Zhang, Hui Guan:
Break the Wall Between Homophily and Heterophily for Graph Representation Learning. CoRR abs/2210.05382 (2022) - [i11]Kunjal Panchal, Sunav Choudhary, Hui Guan:
Flow: Per-Instance Personalized Federated Learning Through Dynamic Routing. CoRR abs/2211.15281 (2022) - 2021
- [j10]Hui Guan, Shaoshan Liu, Xiaolong Ma, Wei Niu, Bin Ren, Xipeng Shen, Yanzhi Wang, Pu Zhao:
CoCoPIE: enabling real-time AI on off-the-shelf mobile devices via compression-compilation co-design. Commun. ACM 64(6): 62-68 (2021) - [j9]Lei Zheng, Zhiqiang Jia, Hui Guan, Liang Ma, Karthik Chandran, K. Deepa Thilak:
Task Modelling of Sports Events for Personalized Video Streaming Data in Augmentative and Alternative Communication. Int. J. Multim. Data Eng. Manag. 12(4): 1-19 (2021) - [j8]Lijun Zhang, Hui Guan, Yufei Ding, Xipeng Shen, Hamid Krim:
Reuse-centric k-means configuration. Inf. Syst. 100: 101787 (2021) - [j7]Sian Jin, Chengming Zhang, Xintong Jiang, Yunhe Feng, Hui Guan, Guanpeng Li, Shuaiwen Song, Dingwen Tao:
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression. Proc. VLDB Endow. 15(4): 886-899 (2021) - [j6]Hui Guan, Xipeng Shen, Hamid Krim:
An Automatic Synthesizer of Advising Tools for High Performance Computing. IEEE Trans. Parallel Distributed Syst. 32(2): 330-341 (2021) - [c27]Zifan Nan, Hui Guan, Xipeng Shen, Chunhua Liao:
Deep NLP-based co-evolvement for synthesizing code analysis from natural language. CC 2021: 141-152 - [c26]Hui Guan, Guorong Cai, Chuan Zhao:
An Automatic Approach to Extracting Requirement Dependencies based on Semantic Web. DSA 2021: 414-420 - [c25]Hong-wei Wu, Hui Guan:
The mechanism of brand reputation on consumer purchase intention in live banding. DSIT 2021: 342-347 - [c24]Hui Guan, Umana Chaudhary, Yuanchao Xu, Lin Ning, Lijun Zhang, Xipeng Shen:
Recurrent Neural Networks Meet Context-Free Grammar: Two Birds with One Stone. ICDM 2021: 1078-1083 - [c23]Xin Zhao, Jin Zhou, Hui Guan, Wei Wang, Xu Liu, Tongping Liu:
NumaPerf: predictive NUMA profiling. ICS 2021: 52-62 - [c22]Shaurya Patel, Tongping Liu, Hui Guan:
FreeLunch: Compression-based GPU Memory Management for Convolutional Neural Networks. MCHPC@SC 2021: 1-8 - [i10]Xin Zhao, Jin Zhou, Hui Guan, Wei Wang, Xu Liu, Tongping Liu:
NumaPerf: Predictive and Full NUMA Profiling. CoRR abs/2102.05204 (2021) - [i9]Marco Serafini, Hui Guan:
Scalable Graph Neural Network Training: The Case for Sampling. CoRR abs/2105.02315 (2021) - [i8]Lijun Zhang, Qizheng Yang, Xiao Liu, Hui Guan:
Rethinking Hard-Parameter Sharing in Multi-Task Learning. CoRR abs/2107.11359 (2021) - [i7]Lijun Zhang, Xiao Liu, Hui Guan:
AutoMTL: A Programming Framework for Automated Multi-Task Learning. CoRR abs/2110.13076 (2021) - [i6]Sian Jin, Chengming Zhang, Xintong Jiang, Yunhe Feng, Hui Guan, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao:
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression. CoRR abs/2111.09562 (2021) - [i5]Yuezhou Sun, Wenlong Zhao, Lijun Zhang, Xiao Liu, Hui Guan, Matei Zaharia:
Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression. CoRR abs/2111.10320 (2021) - 2020
- [j5]Hui Guan, Chengzhen Jia, Hongji Yang:
Intelligent recognition of semantic relationships based on antonymy. Multiagent Grid Syst. 16(3): 263-290 (2020) - [c21]Hui Guan, Laxmikant Kishor Mokadam, Xipeng Shen, Seung-Hwan Lim, Robert M. Patton:
FLEET: Flexible Efficient Ensemble Training for Heterogeneous Deep Neural Networks. MLSys 2020 - [c20]Zifan Nan, Hui Guan, Xipeng Shen:
HISyn: human learning-inspired natural language programming. ESEC/SIGSOFT FSE 2020: 75-86 - [i4]Lijun Zhang, Xiao Liu, Erik G. Learned-Miller, Hui Guan:
SID-NISM: A Self-supervised Low-light Image Enhancement Framework. CoRR abs/2012.08707 (2020)
2010 – 2019
- 2019
- [j4]Baowei Wang, Weiwen Kong, Hui Guan, Neal N. Xiong:
Air Quality Forecasting Based on Gated Recurrent Long Short Term Memory Model in Internet of Things. IEEE Access 7: 69524-69534 (2019) - [c19]Baowei Wang, Weiwen Kong, Hui Guan:
Air quality forcasting based on gated recurrent long short-term memory model. ACM TUR-C 2019: 128:1-128:9 - [c18]Lin Ning, Hui Guan, Xipeng Shen:
Adaptive Deep Reuse: Accelerating CNN Training on the Fly. ICDE 2019: 1538-1549 - [c17]Hui Guan, Lin Ning, Zhen Lin, Xipeng Shen, Huiyang Zhou, Seung-Hwan Lim:
In-Place Zero-Space Memory Protection for CNN. NeurIPS 2019: 5735-5744 - [c16]Hui Guan, Xipeng Shen, Seung-Hwan Lim:
Wootz: a compiler-based framework for fast CNN pruning via composability. PLDI 2019: 717-730 - [i3]Hui Guan, Lin Ning, Zhen Lin, Xipeng Shen, Huiyang Zhou, Seung-Hwan Lim:
In-Place Zero-Space Memory Protection for CNN. CoRR abs/1910.14479 (2019) - [i2]Hui Guan, Andrey Malevich, Jiyan Yang, Jongsoo Park, Hector Yuen:
Post-Training 4-bit Quantization on Embedding Tables. CoRR abs/1911.02079 (2019) - 2018
- [j3]Hui Guan, Hongji Yang, Zhaoxin Wen, Yang Li:
A dynamic model slicing approach for system comprehension during software evolution. Multiagent Grid Syst. 14(1): 1-29 (2018) - [c15]Hui Guan, Yufei Ding, Xipeng Shen, Hamid Krim:
Reuse-Centric K-Means Configuration. ICDE 2018: 1224-1227 - [c14]Randall Pittman, Hui Guan, Xipeng Shen, Seung-Hwan Lim, Robert M. Patton:
Exploring flexible communications for streamlining DNN ensemble training pipelines. SC 2018: 64:1-64:12 - 2017
- [c13]Hui Guan, Zhaobin Liu, Yan Zhang:
Improved RFID Anti-collision Algorithm Based on Quad-Tree. ISICA (2) 2017: 390-399 - [c12]Yufei Ding, Lin Ning, Hui Guan, Xipeng Shen:
Generalizations of the theory and deployment of triangular inequality for compiler-based strength reduction. PLDI 2017: 33-48 - [c11]Hui Guan, Xipeng Shen, Hamid Krim:
Egeria: a framework for automatic synthesis of HPC advising tools through multi-layered natural language processing. SC 2017: 10 - [i1]Hui Guan, Thanos Gentimis, Hamid Krim, James Keiser:
First Study on Data Readiness Level. CoRR abs/1702.02107 (2017) - 2016
- [j2]Hui Guan, Hongji Yang, Jun Wang:
An ontology-based approach to security pattern selection. Int. J. Autom. Comput. 13(2): 168-182 (2016) - [c10]Hui Guan, Wen Tang, Hamid Krim, James Keiser, Andrew J. Rindos, Radmila Sazdanovic:
A topological collapse for document summarization. SPAWC 2016: 1-5 - 2015
- [c9]Xin Ge, Bin Lu, Hui Guan, Kai Zhang:
Differential attack on image encryption algorithm using binary bitplane. FSKD 2015: 2519-2522 - [c8]Songchao Pang, Changyuan Luo, Hui Guan:
Secure Geographic Based Routing Protocol of Aeronautical Ad Hoc Networks. ITITS (2) 2015: 295-306 - [c7]Mingqing Zhang, Shu-qin Dong, Hongshan Kong, Xiao-hu Liu, Hui Guan:
Modeling and Simulation Strategies of Cryptographic Protocols Based on Finite State Machine. ITITS (1) 2015: 541-551 - 2014
- [b1]Hui Guan:
Security-driven software evolution using a model driven approach. De Montfort University, Leicester, UK, 2014 - [c6]Hossam Hakeem, Hui Guan, Hongji Yang:
A Framework of Patterns Applicability in Software Development. COMPSAC Workshops 2014: 486-491 - [c5]Hui Guan, Hongji Yang, Hossam Hakeem:
Reverse Engineering Web Applications for Security Mechanism Enhancement. COMPSAC Workshops 2014: 492-497 - [c4]Hui Guan, Xuan Wang, Hongji Yang:
A framework for security driven software evolution. ICAC 2014: 194-199 - 2011
- [c3]Hui Guan, Weiru Chen, Lin Liu, Hongji Yang:
Environment-Driven Threats Elicitation for Web Applications. KES-AMSTA 2011: 291-300 - 2010
- [j1]Hui Guan, Weiru Chen, Ning Huang, Hong-Ji Yang:
Estimation of reliability and cost relationship for architecture-based software. Int. J. Autom. Comput. 7(4): 603-610 (2010)
1990 – 1999
- 1997
- [c2]Hui Guan, Tatsuo Torii:
Modifying Curvatures at Design Points for Convex B-spline Curves. Computer Graphics International 1997: 223-229 - 1996
- [c1]Hui Guan, Tatsuo Torii:
An Intuitive Approach to Convex Curve Design. Computer Graphics International 1996: 214-219
Coauthor Index
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last updated on 2023-09-27 22:42 CEST by the dblp team
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