Hui Guan - RankMe

82 papers A* 14A 9B 2C 2Journal 45Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	Atom: Efficient On-Device Video-Language Pipelines Through Modular Reuse. MMSys Kunjal Panchal, Saayan Mitra, Somdeb Sarkhel, Haoliang Wang, Ishita Dasgupta, Gang Wu, Hui Guan
2026	J	`jnl`	Recurrent Neural Networks Meet Context-Free Grammar: Two Birds with One Stone. ACM Trans. Knowl. Discov. Data Hui Guan, Umang Chaudhary, Yuanchao Xu, Lin Ning, Lijun Zhang, Xipeng Shen
2025	J	`jnl`	Adaptive Spiking with Plasticity for Energy Aware Neuromorphic Systems. CoRR Eduardo Calle-Ortiz, Hui Guan, Deepak Ganesan, Phuc Nguyen
2025	C	`conf`	An Empirical Study of Microscaling Formats for Low-Precision LLM Training. ARITH Hanmei Yang, Summer Deng, Amit Nagpal, Maxim Naumov, Mohammad Janani, Tongping Liu, Hui Guan
2025	J	`jnl`	Atom: Efficient On-Device Video-Language Pipelines Through Modular Reuse. CoRR Kunjal Panchal, Saayan Mitra, Somdeb Sarkhel, Haoliang Wang, Ishita Dasgupta, Gang Wu, Hui Guan
2025	J	`jnl`	Attacking all tasks at once using adversarial examples in multi-task learning. Neurocomputing Lijun Zhang, Xiao Liu, Kaleel Mahmood, Caiwen Ding, Hui Guan
2025	J	`jnl`	Communication-Efficient Multi-Device Inference Acceleration for Transformer Models. CoRR Xiao Liu, Lijun Zhang, Deepak Ganesan, Hui Guan
2025	—	`conf`	DiffServe: Efficiently Serving Text-to-Image Diffusion Models with Query-Aware Model Scaling. MLSys Sohaib Ahmad, Qizheng Yang, Haoliang Wang, Ramesh K. Sitaraman, Hui Guan
2025	J	`jnl`	HADIS: Hybrid Adaptive Diffusion Model Serving for Efficient Text-to-Image Generation. CoRR Qizheng Yang, Tung-I Chen, Siyu Zhao, Ramesh K. Sitaraman, Hui Guan
2025	—	`conf`	Spa: Scaling Graph Neural Network Training on Large graphs via Probabilistic splitting. MLSys Sandeep Polisetty, Juelin Liu, Yi Fung, Seung-Hwan Lim, Hui Guan, Marco Serafini
2025	J	`jnl`	The Cost of Avoiding Backpropagation. CoRR Kunjal Panchal, Sunav Choudhary, Yuriy Brun, Hui Guan
2025	—	`conf`	What Makes a Visualization Visually Complex? CHI Extended Abstracts Kylie R. Lin, Sean Sheng-tse Ru, David N. Rapp, Hui Guan, Cindy Xiong Bearfield
2024	J	`jnl`	A Tree-Structured Multitask Model Architectures Recommendation System. IEEE Trans. Neural Networks Learn. Syst. Lijun Zhang, Xiao Liu, Hui Guan
2024	A*	`conf`	AdapMTL: Adaptive Pruning Framework for Multitask Learning Model. ACM Multimedia Mingcan Xiang, Jiaxun Tang, Qizheng Yang, Hui Guan, Tongping Liu
2024	J	`jnl`	AdapMTL: Adaptive Pruning Framework for Multitask Learning Model. CoRR Mingcan Xiang, Steven Jiaxun Tang, Qizheng Yang, Hui Guan, Tongping Liu
2024	A*	`conf`	Attack-Resilient Image Watermarking Using Stable Diffusion. NeurIPS Lijun Zhang, Xiao Liu, Antoni Viros Martin, Cindy Xiong Bearfield, Yuriy Brun, Hui Guan
2024	A	`conf`	CACTUS: Dynamically Switchable Context-aware micro-Classifiers for Efficient IoT Inference. MobiSys Mohammad Mehdi Rastikerdar, Jin Huang, Shiwei Fang, Hui Guan, Deepak Ganesan
2024	J	`jnl`	DiffServe: Efficiently Serving Text-to-Image Diffusion Models with Query-Aware Model Scaling. CoRR Sohaib Ahmad, Qizheng Yang, Haoliang Wang, Ramesh K. Sitaraman, Hui Guan
2024	A	`conf`	GMorph: Accelerating Multi-DNN Inference via Model Fusion. EuroSys Qizheng Yang, Tianyi Yang, Mingcan Xiang, Lijun Zhang, Haoliang Wang, Marco Serafini, Hui Guan
2024	J	`jnl`	Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch. CoRR Saurabh Bajaj, Hui Guan, Marco Serafini
2024	J	`jnl`	Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch. Proc. VLDB Endow. Saurabh Bajaj, Hui Guan, Marco Serafini, Juelin Liu, Hojae Son
2024	J	`jnl`	GraphMini: Accelerating Graph Pattern Matching Using Auxiliary Graphs. CoRR Juelin Liu, Sandeep Polisetty, Hui Guan, Marco Serafini
2024	J	`jnl`	In-Situ Fine-Tuning of Wildlife Models in IoT-Enabled Camera Traps for Efficient Adaptation. CoRR Mohammad Mehdi Rastikerdar, Jin Huang, Hui Guan, Deepak Ganesan
2024	J	`jnl`	Information-Enhanced Graph Neural Network for Transcending Homophily Barriers. IEEE Access Xiao Liu, Lijun Zhang, Hui Guan
2024	J	`jnl`	Integrating Graph Neural Networks and Many-Body Expansion Theory for Potential Energy Surfaces. CoRR Siqi Chen, Zhiqiang Wang, Xianqi Deng, Yili Shen, Cheng-Wei Ju, Jun Yi, Lin Xiong, Guo Ling, Dieaa Alhmoud, Hui Guan, Zhou Lin
2024	A	`conf`	Loki: A System for Serving ML Inference Pipelines with Hardware and Accuracy Scaling. HPDC Sohaib Ahmad, Hui Guan, Ramesh K. Sitaraman
2024	J	`jnl`	Loki: A System for Serving ML Inference Pipelines with Hardware and Accuracy Scaling. CoRR Sohaib Ahmad, Hui Guan, Ramesh K. Sitaraman
2024	J	`jnl`	ProTrain: Efficient LLM Training via Memory-Aware Techniques. CoRR Hanmei Yang, Jin Zhou, Yao Fu, Xiaoqun Wang, Ramine Roane, Hui Guan, Tongping Liu
2024	—	`conf`	Proteus: A High-Throughput Inference-Serving System with Accuracy Scaling. ASPLOS (1) Sohaib Ahmad, Hui Guan, Brian D. Friedman, Thomas Williams, Ramesh K. Sitaraman, Thomas Y. C. Woo
2024	J	`jnl`	Robust Image Watermarking using Stable Diffusion. CoRR Lijun Zhang, Xiao Liu, Antoni Viros Martin, Cindy Xiong Bearfield, Yuriy Brun, Hui Guan
2024	—	`conf`	Structured Pruning for Multi-Task Deep Neural Networks. MIPR Siddhant Garg, Lijun Zhang, Hui Guan
2024	A*	`conf`	Thinking Forward: Memory-Efficient Federated Finetuning of Language Models. NeurIPS Kunjal Panchal, Nisarg Parikh, Sunav Choudhary, Lijun Zhang, Yuriy Brun, Hui Guan
2024	J	`jnl`	Thinking Forward: Memory-Efficient Federated Finetuning of Language Models. CoRR Kunjal Panchal, Nisarg Parikh, Sunav Choudhary, Lijun Zhang, Yuriy Brun, Hui Guan
2024	J	`jnl`	Understanding and Alleviating Memory Consumption in RLHF for LLMs. CoRR Jin Zhou, Hanmei Yang, Steven (Jiaxun) Tang, Mingcan Xiang, Hui Guan, Tongping Liu
2023	J	`jnl`	An Alternative Hard-Parameter Sharing Paradigm for Multi-Domain Learning. IEEE Access Lijun Zhang, Qizheng Yang, Xiao Liu, Hui Guan
2023	J	`jnl`	Automatically Marginalized MCMC in Probabilistic Programming. CoRR Jinlin Lai, Javier Burroni, Hui Guan, Daniel Sheldon
2023	A*	`conf`	Automatically marginalized MCMC in probabilistic programming. ICML Jinlin Lai, Javier Burroni, Hui Guan, Daniel Sheldon
2023	J	`jnl`	Dynamic Gradient Balancing for Enhanced Adversarial Attacks on Multi-Task Models. CoRR Lijun Zhang, Xiao Liu, Kaleel Mahmood, Caiwen Ding, Hui Guan
2023	J	`jnl`	Efficient IoT Inference via Context-Awareness. CoRR Mohammad Mehdi Rastikerdar, Jin Huang, Shiwei Fang, Hui Guan, Deepak Ganesan
2023	A*	`conf`	Flash: Concept Drift Adaptation in Federated Learning. ICML Kunjal Panchal, Sunav Choudhary, Subrata Mitra, Koyel Mukherjee, Somdeb Sarkhel, Saayan Mitra, Hui Guan
2023	A*	`conf`	Flow: Per-instance Personalized Federated Learning. NeurIPS Kunjal Panchal, Sunav Choudhary, Nisarg Parikh, Lijun Zhang, Hui Guan
2023	J	`jnl`	GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism. CoRR Sandeep Polisetty, Juelin Liu, Kobi Falus, Yi Ren Fung, Seung-Hwan Lim, Hui Guan, Marco Serafini
2023	B	`conf`	GraphMini: Accelerating Graph Pattern Matching Using Auxiliary Graphs. PACT Juelin Liu, Sandeep Polisetty, Hui Guan, Marco Serafini
2023	C	`conf`	NUMAlloc: A Faster NUMA Memory Allocator. ISMM Hanmei Yang, Xin Zhao, Jin Zhou, Wei Wang, Sandip Kundu, Bo Wu, Hui Guan, Tongping Liu
2023	A*	`conf`	Re-thinking computation offload for efficient inference on IoT devices with duty-cycled radios. MobiCom Jin Huang, Hui Guan, Deepak Ganesan
2023	J	`jnl`	Structured Pruning for Multi-Task Deep Neural Networks. CoRR Siddhant Garg, Lijun Zhang, Hui Guan
2022	—	`conf`	A Tree-Structured Multi-Task Model Recommender. AutoML Lijun Zhang, Xiao Liu, Hui Guan
2022	J	`jnl`	A Tree-Structured Multi-Task Model Recommender. CoRR Lijun Zhang, Xiao Liu, Hui Guan
2022	A*	`conf`	AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning. NeurIPS Lijun Zhang, Xiao Liu, Hui Guan
2022	J	`jnl`	Break the Wall Between Homophily and Heterophily for Graph Representation Learning. CoRR Xiao Liu, Lijun Zhang, Hui Guan
2022	A	`conf`	Enabling Near Real-Time NLU-Driven Natural Language Programming through Dynamic Grammar Graph-Based Translation. CGO Zifan Nan, Xipeng Shen, Hui Guan
2022	J	`jnl`	Flow: Per-Instance Personalized Federated Learning Through Dynamic Routing. CoRR Kunjal Panchal, Sunav Choudhary, Hui Guan
2022	J	`jnl`	Improving Subgraph Representation Learning via Multi-View Augmentation. CoRR Yili Shen, Jiaxu Yan, Cheng-Wei Ju, Jun Yi, Zhou Lin, Hui Guan
2022	A	`conf`	Rethinking Hard-Parameter Sharing in Multi-Domain Learning. ICME Lijun Zhang, Qizheng Yang, Xiao Liu, Hui Guan
2021	J	`jnl`	An Automatic Synthesizer of Advising Tools for High Performance Computing. IEEE Trans. Parallel Distributed Syst. Hui Guan, Xipeng Shen, Hamid Krim
2021	J	`jnl`	AutoMTL: A Programming Framework for Automated Multi-Task Learning. CoRR Lijun Zhang, Xiao Liu, Hui Guan
2021	J	`jnl`	COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression. CoRR Sian Jin, Chengming Zhang, Xintong Jiang, Yunhe Feng, Hui Guan, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao
2021	J	`jnl`	COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression. Proc. VLDB Endow. Sian Jin, Chengming Zhang, Xintong Jiang, Yunhe Feng, Hui Guan, Guanpeng Li, Shuaiwen Song, Dingwen Tao
2021	J	`jnl`	CoCoPIE: enabling real-time AI on off-the-shelf mobile devices via compression-compilation co-design. Commun. ACM Hui Guan, Shaoshan Liu, Xiaolong Ma, Wei Niu, Bin Ren, Xipeng Shen, Yanzhi Wang, Pu Zhao
2021	B	`conf`	Deep NLP-based co-evolvement for synthesizing code analysis from natural language. CC Zifan Nan, Hui Guan, Xipeng Shen, Chunhua Liao
2021	—	`conf`	FreeLunch: Compression-based GPU Memory Management for Convolutional Neural Networks. MCHPC@SC Shaurya Patel, Tongping Liu, Hui Guan
2021	J	`jnl`	NumaPerf: Predictive and Full NUMA Profiling. CoRR Xin Zhao, Jin Zhou, Hui Guan, Wei Wang, Xu Liu, Tongping Liu
2021	A	`conf`	NumaPerf: predictive NUMA profiling. ICS Xin Zhao, Jin Zhou, Hui Guan, Wei Wang, Xu Liu, Tongping Liu
2021	A*	`conf`	Recurrent Neural Networks Meet Context-Free Grammar: Two Birds with One Stone. ICDM Hui Guan, Umana Chaudhary, Yuanchao Xu, Lin Ning, Lijun Zhang, Xipeng Shen
2021	J	`jnl`	Rethinking Hard-Parameter Sharing in Multi-Task Learning. CoRR Lijun Zhang, Qizheng Yang, Xiao Liu, Hui Guan
2021	J	`jnl`	Reuse-centric k-means configuration. Inf. Syst. Lijun Zhang, Hui Guan, Yufei Ding, Xipeng Shen, Hamid Krim
2021	J	`jnl`	Scalable Graph Neural Network Training: The Case for Sampling. CoRR Marco Serafini, Hui Guan
2021	J	`jnl`	Toward Compact Parameter Representations for Architecture-Agnostic Neural Network Compression. CoRR Yuezhou Sun, Wenlong Zhao, Lijun Zhang, Xiao Liu, Hui Guan, Matei Zaharia
2020	—	`conf`	FLEET: Flexible Efficient Ensemble Training for Heterogeneous Deep Neural Networks. MLSys Hui Guan, Laxmikant Kishor Mokadam, Xipeng Shen, Seung-Hwan Lim, Robert M. Patton
2020	—	`conf`	HISyn: human learning-inspired natural language programming. ESEC/SIGSOFT FSE Zifan Nan, Hui Guan, Xipeng Shen
2020	J	`jnl`	SID-NISM: A Self-supervised Low-light Image Enhancement Framework. CoRR Lijun Zhang, Xiao Liu, Erik G. Learned-Miller, Hui Guan
2019	A*	`conf`	Adaptive Deep Reuse: Accelerating CNN Training on the Fly. ICDE Lin Ning, Hui Guan, Xipeng Shen
2019	A*	`conf`	In-Place Zero-Space Memory Protection for CNN. NeurIPS Hui Guan, Lin Ning, Zhen Lin, Xipeng Shen, Huiyang Zhou, Seung-Hwan Lim
2019	J	`jnl`	In-Place Zero-Space Memory Protection for CNN. CoRR Hui Guan, Lin Ning, Zhen Lin, Xipeng Shen, Huiyang Zhou, Seung-Hwan Lim
2019	J	`jnl`	Post-Training 4-bit Quantization on Embedding Tables. CoRR Hui Guan, Andrey Malevich, Jiyan Yang, Jongsoo Park, Hector Yuen
2019	A*	`conf`	Wootz: a compiler-based framework for fast CNN pruning via composability. PLDI Hui Guan, Xipeng Shen, Seung-Hwan Lim
2018	A	`conf`	Exploring flexible communications for streamlining DNN ensemble training pipelines. SC Randall Pittman, Hui Guan, Xipeng Shen, Seung-Hwan Lim, Robert M. Patton
2018	A*	`conf`	Reuse-Centric K-Means Configuration. ICDE Hui Guan, Yufei Ding, Xipeng Shen, Hamid Krim
2017	A	`conf`	Egeria: a framework for automatic synthesis of HPC advising tools through multi-layered natural language processing. SC Hui Guan, Xipeng Shen, Hamid Krim
2017	J	`jnl`	First Study on Data Readiness Level. CoRR Hui Guan, Thanos Gentimis, Hamid Krim, James Keiser
2017	A*	`conf`	Generalizations of the theory and deployment of triangular inequality for compiler-based strength reduction. PLDI Yufei Ding, Lin Ning, Hui Guan, Xipeng Shen
2016	—	`conf`	A topological collapse for document summarization. SPAWC Hui Guan, Wen Tang, Hamid Krim, James Keiser, Andrew J. Rindos, Radmila Sazdanovic