Hui Guan

According to our database, Hui Guan authored at least 60 papers between 2016 and 2024.

Collaborative distances:

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

2024

A Tree-Structured Multitask Model Architectures Recommendation System.

Lijun Zhang, Xiao Liu, Hui Guan

IEEE Trans. Neural Networks Learn. Syst., November, 2024

DiffServe: Efficiently Serving Text-to-Image Diffusion Models with Query-Aware Model Scaling.

Sohaib Ahmad, Qizheng Yang, Haoliang Wang, Ramesh K. Sitaraman, Hui Guan

CoRR, 2024

Aligned Vector Quantization for Edge-Cloud Collabrative Vision-Language Models.

Xiao Liu, Lijun Zhang, Deepak Ganesan, Hui Guan

CoRR, 2024

Integrating Graph Neural Networks and Many-Body Expansion Theory for Potential Energy Surfaces.

Siqi Chen, Zhiqiang Wang, Xianqi Deng, Yili Shen, Cheng-Wei Ju, Jun Yi, Lin Xiong, Guo Ling, Dieaa Alhmoud, Hui Guan, Zhou Lin

CoRR, 2024

Understanding and Alleviating Memory Consumption in RLHF for LLMs.

Jin Zhou, Hanmei Yang, Steven (Jiaxun) Tang, Mingcan Xiang, Hui Guan, Tongping Liu

CoRR, 2024

In-Situ Fine-Tuning of Wildlife Models in IoT-Enabled Camera Traps for Efficient Adaptation.

Mohammad Mehdi Rastikerdar, Jin Huang, Hui Guan, Deepak Ganesan

CoRR, 2024

ProTrain: Efficient LLM Training via Memory-Aware Techniques.

Hanmei Yang, Jin Zhou, Yao Fu, Xiaoqun Wang, Ramine Roane, Hui Guan, Tongping Liu

CoRR, 2024

Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch.

Saurabh Bajaj, Hui Guan, Marco Serafini

CoRR, 2024

Thinking Forward: Memory-Efficient Federated Finetuning of Language Models.

Kunjal Panchal, Nisarg Parikh, Sunav Choudhary, Lijun Zhang, Yuriy Brun, Hui Guan

CoRR, 2024

Robust Image Watermarking using Stable Diffusion.

Lijun Zhang, Xiao Liu, Antoni Viros Martin, Cindy Xiong Bearfield, Yuriy Brun, Hui Guan

CoRR, 2024

Information-Enhanced Graph Neural Network for Transcending Homophily Barriers.

Xiao Liu, Lijun Zhang, Hui Guan

IEEE Access, 2024

CACTUS: Dynamically Switchable Context-aware micro-Classifiers for Efficient IoT Inference.

Mohammad Mehdi Rastikerdar, Jin Huang, Shiwei Fang, Hui Guan, Deepak Ganesan

Proceedings of the 22nd Annual International Conference on Mobile Systems, 2024

AdapMTL: Adaptive Pruning Framework for Multitask Learning Model.

Mingcan Xiang, Jiaxun Tang, Qizheng Yang, Hui Guan, Tongping Liu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Structured Pruning for Multi-Task Deep Neural Networks.

Siddhant Garg, Lijun Zhang, Hui Guan

Proceedings of the 7th IEEE International Conference on Multimedia Information Processing and Retrieval, 2024

Loki: A System for Serving ML Inference Pipelines with Hardware and Accuracy Scaling.

Sohaib Ahmad, Hui Guan, Ramesh K. Sitaraman

Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing, 2024

GMorph: Accelerating Multi-DNN Inference via Model Fusion.

Qizheng Yang, Tianyi Yang, Mingcan Xiang, Lijun Zhang, Haoliang Wang, Marco Serafini, Hui Guan

Proceedings of the Nineteenth European Conference on Computer Systems, 2024

Proteus: A High-Throughput Inference-Serving System with Accuracy Scaling.

Sohaib Ahmad, Hui Guan, Brian D. Friedman, Thomas Williams, Ramesh K. Sitaraman, Thomas Y. C. Woo

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Efficient IoT Inference via Context-Awareness.

Mohammad Mehdi Rastikerdar, Jin Huang, Shiwei Fang, Hui Guan, Deepak Ganesan

CoRR, 2023

Dynamic Gradient Balancing for Enhanced Adversarial Attacks on Multi-Task Models.

Lijun Zhang, Xiao Liu, Kaleel Mahmood, Caiwen Ding, Hui Guan

CoRR, 2023

GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism.

Sandeep Polisetty, Juelin Liu, Kobi Falus, Yi Ren Fung, Seung-Hwan Lim, Hui Guan, Marco Serafini

CoRR, 2023

An Alternative Hard-Parameter Sharing Paradigm for Multi-Domain Learning.

Lijun Zhang, Qizheng Yang, Xiao Liu, Hui Guan

IEEE Access, 2023

Flow: Per-instance Personalized Federated Learning.

Kunjal Panchal, Sunav Choudhary, Nisarg Parikh, Lijun Zhang, Hui Guan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Re-thinking computation offload for efficient inference on IoT devices with duty-cycled radios.

Jin Huang, Hui Guan, Deepak Ganesan

Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

NUMAlloc: A Faster NUMA Memory Allocator.

Hanmei Yang, Xin Zhao, Jin Zhou, Wei Wang, Sandip Kundu, Bo Wu, Hui Guan, Tongping Liu

Proceedings of the 2023 ACM SIGPLAN International Symposium on Memory Management, 2023

Flash: Concept Drift Adaptation in Federated Learning.

Kunjal Panchal, Sunav Choudhary, Subrata Mitra, Koyel Mukherjee, Somdeb Sarkhel, Saayan Mitra, Hui Guan

Proceedings of the International Conference on Machine Learning, 2023

Automatically marginalized MCMC in probabilistic programming.

Jinlin Lai, Javier Burroni, Hui Guan, Daniel Sheldon

Proceedings of the International Conference on Machine Learning, 2023

GraphMini: Accelerating Graph Pattern Matching Using Auxiliary Graphs.

Juelin Liu, Sandeep Polisetty, Hui Guan, Marco Serafini

Proceedings of the 32nd International Conference on Parallel Architectures and Compilation Techniques, 2023

2022

Flow: Per-Instance Personalized Federated Learning Through Dynamic Routing.

Kunjal Panchal, Sunav Choudhary, Hui Guan

CoRR, 2022

Break the Wall Between Homophily and Heterophily for Graph Representation Learning.

Xiao Liu, Lijun Zhang, Hui Guan

CoRR, 2022

Improving Subgraph Representation Learning via Multi-View Augmentation.

Yili Shen, Jiaxu Yan, Cheng-Wei Ju, Jun Yi, Zhou Lin, Hui Guan

CoRR, 2022

AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning.

Lijun Zhang, Xiao Liu, Hui Guan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Rethinking Hard-Parameter Sharing in Multi-Domain Learning.

Lijun Zhang, Qizheng Yang, Xiao Liu, Hui Guan

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Enabling Near Real-Time NLU-Driven Natural Language Programming through Dynamic Grammar Graph-Based Translation.

Zifan Nan, Xipeng Shen, Hui Guan

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2022

A Tree-Structured Multi-Task Model Recommender.

Lijun Zhang, Xiao Liu, Hui Guan

Proceedings of the International Conference on Automated Machine Learning, 2022

2021

An Automatic Synthesizer of Advising Tools for High Performance Computing.

Hui Guan, Xipeng Shen, Hamid Krim

IEEE Trans. Parallel Distributed Syst., 2021

COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression.

Sian Jin, Chengming Zhang, Xintong Jiang, Yunhe Feng, Hui Guan, Guanpeng Li, Shuaiwen Song, Dingwen Tao

Proc. VLDB Endow., 2021

Reuse-centric k-means configuration.

Lijun Zhang, Hui Guan, Yufei Ding, Xipeng Shen, Hamid Krim

Inf. Syst., 2021

Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression.

Yuezhou Sun, Wenlong Zhao, Lijun Zhang, Xiao Liu, Hui Guan, Matei Zaharia

CoRR, 2021

AutoMTL: A Programming Framework for Automated Multi-Task Learning.

Lijun Zhang, Xiao Liu, Hui Guan

CoRR, 2021

Rethinking Hard-Parameter Sharing in Multi-Task Learning.

Lijun Zhang, Qizheng Yang, Xiao Liu, Hui Guan

CoRR, 2021

Scalable Graph Neural Network Training: The Case for Sampling.

Marco Serafini, Hui Guan

CoRR, 2021

NumaPerf: Predictive and Full NUMA Profiling.

Xin Zhao, Jin Zhou, Hui Guan, Wei Wang, Xu Liu, Tongping Liu

CoRR, 2021

CoCoPIE: enabling real-time AI on off-the-shelf mobile devices via compression-compilation co-design.

Hui Guan, Shaoshan Liu, Xiaolong Ma, Wei Niu, Bin Ren, Xipeng Shen, Yanzhi Wang, Pu Zhao

Commun. ACM, 2021

FreeLunch: Compression-based GPU Memory Management for Convolutional Neural Networks.

Shaurya Patel, Tongping Liu, Hui Guan

Proceedings of the IEEE/ACM Workshop on Memory Centric High Performance Computing, 2021

NumaPerf: predictive NUMA profiling.

Xin Zhao, Jin Zhou, Hui Guan, Wei Wang, Xu Liu, Tongping Liu

Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021

Recurrent Neural Networks Meet Context-Free Grammar: Two Birds with One Stone.

Hui Guan, Umana Chaudhary, Yuanchao Xu, Lin Ning, Lijun Zhang, Xipeng Shen

Proceedings of the IEEE International Conference on Data Mining, 2021

Deep NLP-based co-evolvement for synthesizing code analysis from natural language.

Zifan Nan, Hui Guan, Xipeng Shen, Chunhua Liao

Proceedings of the CC '21: 30th ACM SIGPLAN International Conference on Compiler Construction, 2021

2020

SID-NISM: A Self-supervised Low-light Image Enhancement Framework.

Lijun Zhang, Xiao Liu, Erik G. Learned-Miller, Hui Guan

CoRR, 2020

HISyn: human learning-inspired natural language programming.

Zifan Nan, Hui Guan, Xipeng Shen

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

FLEET: Flexible Efficient Ensemble Training for Heterogeneous Deep Neural Networks.

Hui Guan, Laxmikant Kishor Mokadam, Xipeng Shen, Seung-Hwan Lim, Robert M. Patton

Proceedings of the Third Conference on Machine Learning and Systems, 2020

2019

Post-Training 4-bit Quantization on Embedding Tables.

Hui Guan, Andrey Malevich, Jiyan Yang, Jongsoo Park, Hector Yuen

CoRR, 2019

Wootz: a compiler-based framework for fast CNN pruning via composability.

Hui Guan, Xipeng Shen, Seung-Hwan Lim

Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2019

In-Place Zero-Space Memory Protection for CNN.

Hui Guan, Lin Ning, Zhen Lin, Xipeng Shen, Huiyang Zhou, Seung-Hwan Lim

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Adaptive Deep Reuse: Accelerating CNN Training on the Fly.

Lin Ning, Hui Guan, Xipeng Shen

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018

Exploring flexible communications for streamlining DNN ensemble training pipelines.

Randall Pittman, Hui Guan, Xipeng Shen, Seung-Hwan Lim, Robert M. Patton

Proceedings of the International Conference for High Performance Computing, 2018

Reuse-Centric K-Means Configuration.

Hui Guan, Yufei Ding, Xipeng Shen, Hamid Krim

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

First Study on Data Readiness Level.

Hui Guan, Thanos Gentimis, Hamid Krim, James Keiser

CoRR, 2017

Egeria: a framework for automatic synthesis of HPC advising tools through multi-layered natural language processing.

Hui Guan, Xipeng Shen, Hamid Krim

Proceedings of the International Conference for High Performance Computing, 2017

Generalizations of the theory and deployment of triangular inequality for compiler-based strength reduction.

Yufei Ding, Lin Ning, Hui Guan, Xipeng Shen

Proceedings of the 38th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2017

2016

A topological collapse for document summarization.

Hui Guan, Wen Tang, Hamid Krim, James Keiser, Andrew J. Rindos, Radmila Sazdanovic

Proceedings of the 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2016