Feng Yan - RankMe

130 papers A* 13A 16B 15C 1Misc 1Journal 60Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DARE-bench: Evaluating Modeling and Instruction Fidelity of LLMs in Data Science. CoRR Fan Shu, Yite Wang, Ruofan Wu, Boyi Liu, Zhewei Yao, Yuxiong He, Feng Yan
2025	J	`jnl`	A Generic, High-Performance, Compression-Aware Framework for Data Parallel DNN Training. IEEE Trans. Parallel Distributed Syst. Hao Wu, Shiyi Wang, Youhui Bai, Cheng Li, Quan Zhou, Jun Yi, Feng Yan, Ruichuan Chen, Yinlong Xu
2025	J	`jnl`	A survey on self-supervised learning: Recent advances and open problems. Neurocomputing Jianping Zhang, Lei Yang, Seyed Mahmoud Sajjadi Mohammadabadi, Feng Yan
2025	J	`jnl`	Agentic Verification for Ambiguous Query Disambiguation. CoRR Youngwon Lee, Seung-won Hwang, Ruofan Wu, Feng Yan, Danmei Xu, Moutasem Akkad, Zhewei Yao, Yuxiong He
2025	J	`jnl`	ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering. CoRR Ruofan Wu, Youngwon Lee, Fan Shu, Danmei Xu, Seung-won Hwang, Zhewei Yao, Yuxiong He, Feng Yan
2025	J	`jnl`	Diffusion-Based, Data-Assimilation-Enabled Super-Resolution of Hub-height Winds. CoRR Xiaolong Ma, Xu Dong, Ashley Tarrant, Lei Yang, Rao Kotamarthi, Jiali Wang, Feng Yan, Rajkumar Kettimuthu
2025	J	`jnl`	Enabling scalable and adaptive machine learning training via serverless computing on public cloud. Perform. Evaluation Ahsan Ali, Xiaolong Ma, Syed Zawad, Paarijaat Aditya, Istemi Ekin Akkus, Ruichuan Chen, Lei Yang, Feng Yan
2025	J	`jnl`	FedCust: Offloading hyperparameter customization for federated learning. Perform. Evaluation Syed Zawad, Xiaolong Ma, Jun Yi, Cheng Li, Minjia Zhang, Lei Yang, Feng Yan, Yuxiong He
2025	J	`jnl`	Speed Up Federated Learning in Heterogeneous Environments: A Dynamic Tiering Approach. IEEE Internet Things J. Seyed Mahmoud Sajjadi Mohammadabadi, Syed Zawad, Feng Yan, Lei Yang
2025	J	`jnl`	Towards Agile and Judicious Metadata Load Balancing for Ceph File System via Matrix-based Modeling. ACM Trans. Storage Xinyang Shao, Yiduo Wang, Cheng Li, Hengyu Liang, Chenhan Wang, Feng Yan, Yinlong Xu
2025	J	`jnl`	Towards Automated Model Design on Recommender Systems. Trans. Recomm. Syst. Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Yudong Liu, Feng Cheng, Yufan Cao, Feng Yan, Hai Li, Yiran Chen, Wei Wen
2024	—	`conf`	CSCO: Connectivity Search of Convolutional Operators. CVPR Workshops Tunhou Zhang, Shiyu Li, Hsin-Pai Cheng, Feng Yan, Hai Li, Yiran Chen
2024	J	`jnl`	CSCO: Connectivity Search of Convolutional Operators. CoRR Tunhou Zhang, Shiyu Li, Hsin-Pai Cheng, Feng Yan, Hai Li, Yiran Chen
2024	A	`conf`	Communication-Efficient Training Workload Balancing for Decentralized Multi-Agent Learning. ICDCS Seyed Mahmoud Sajjadi Mohammadabadi, Lei Yang, Feng Yan, Junshan Zhang
2024	J	`jnl`	Communication-Efficient Training Workload Balancing for Decentralized Multi-Agent Learning. CoRR Seyed Mahmoud Sajjadi Mohammadabadi, Lei Yang, Feng Yan, Junshan Zhang
2024	B	`conf`	DistDNAS: Search Efficient Feature Interactions within 2 Hours. IEEE Big Data Tunhou Zhang, Wei Wen, Igor Fedorov, Xi Liu, Buyun Zhang, Fangqiu Han, Wen-Yen Chen, Yiping Han, Feng Yan, Hai Li, Yiran Chen
2024	J	`jnl`	MalleTrain: Deep Neural Network Training on Unfillable Supercomputer Nodes. CoRR Xiaolong Ma, Feng Yan, Lei Yang, Ian T. Foster, Michael E. Papka, Zhengchun Liu, Rajkumar Kettimuthu
2024	B	`conf`	MalleTrain: Deep Neural Networks Training on Unfillable Supercomputer Nodes. ICPE Xiaolong Ma, Feng Yan, Lei Yang, Ian T. Foster, Michael E. Papka, Zhengchun Liu, Rajkumar Kettimuthu
2024	A	`conf`	Noctua: Towards Automated and Practical Fine-grained Consistency Analysis. EuroSys Kai Ma, Cheng Li, Enzuo Zhu, Ruichuan Chen, Feng Yan, Kang Chen
2024	J	`jnl`	Peeking Behind the Curtains of Residual Learning. CoRR Tunhou Zhang, Feng Yan, Hai Helen Li, Yiran Chen
2024	J	`jnl`	Towards Automated Model Design on Recommender Systems. CoRR Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Yudong Liu, Feng Cheng, Yufan Cao, Feng Yan, Hai Li, Yiran Chen, Wei Wen
2024	A*	`conf`	ZeRO++: Extremely Efficient Collective Communication for Large Model Training. ICLR Guanhua Wang, Heyang Qin, Sam Ade Jacobs, Xiaoxia Wu, Connor Holmes, Zhewei Yao, Samyam Rajbhandari, Olatunji Ruwase, Feng Yan, Lei Yang, Yuxiong He
2023	A	`conf`	: Joint Point Interaction-Dimension Search for 3D Point Cloud. WACV Tunhou Zhang, Mingyuan Ma, Feng Yan, Hai Li, Yiran Chen
2023	J	`jnl`	AI augmented Edge and Fog computing: Trends and challenges. J. Netw. Comput. Appl. Shreshth Tuli, Fatemeh Mirhakimi, Samodha Pallewatta, Syed Zawad, Giuliano Casale, Bahman Javadi, Feng Yan, Rajkumar Buyya, Nicholas R. Jennings
2023	J	`jnl`	DistDNAS: Search Efficient Feature Interactions within 2 Hours. CoRR Tunhou Zhang, Wei Wen, Igor Fedorov, Xi Liu, Buyun Zhang, Fangqiu Han, Wen-Yen Chen, Yiping Han, Feng Yan, Hai Li, Yiran Chen
2023	A*	`conf`	DySR: Adaptive Super-Resolution via Algorithm and System Co-design. ICLR Syed Zawad, Cheng Li, Zhewei Yao, Elton Zheng, Yuxiong He, Feng Yan
2023	J	`jnl`	Farthest Greedy Path Sampling for Two-shot Recommender Search. CoRR Yufan Cao, Tunhou Zhang, Wei Wen, Feng Yan, Hai Li, Yiran Chen
2023	B	`conf`	HDFL: A Heterogeneity and Client Dropout-Aware Federated Learning Framework. CCGrid Syed Zawad, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Feng Yan
2023	J	`jnl`	InfiniStore: Elastic Serverless Cloud Storage. Proc. VLDB Endow. Jingyuan Zhang, Ao Wang, Xiaolong Ma, Benjamin Carver, Nicholas John Newman, Ali Anwar, Lukas Rupprecht, Vasily Tarasov, Dimitrios Skourtis, Feng Yan, Yue Cheng
2023	A*	`conf`	MPress: Democratizing Billion-Scale Model Training on Multi-GPU Servers via Memory-Saving Inter-Operator Parallelism. HPCA Quan Zhou, Haiquan Wang, Xiaoyan Yu, Cheng Li, Youhui Bai, Feng Yan, Yinlong Xu
2023	A*	`conf`	NASRec: Weight Sharing Neural Architecture Search for Recommender Systems. WWW Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Feng Yan, Hai Li, Yiran Chen, Wei Wen
2023	C	`conf`	SciLance: Mitigate Load Imbalance for Parallel Scientific Applications in Cloud Environments. CLUSTER Xinying Wang, Lipeng Wan, Scott Klasky, Dongfang Zhao, Feng Yan
2023	J	`jnl`	Speed Up Federated Learning in Heterogeneous Environment: A Dynamic Tiering Approach. CoRR Seyed Mahmoud Sajjadi Mohammadabadi, Syed Zawad, Feng Yan, Lei Yang
2023	J	`jnl`	ZeRO++: Extremely Efficient Collective Communication for Giant Model Training. CoRR Guanhua Wang, Heyang Qin, Sam Ade Jacobs, Connor Holmes, Samyam Rajbhandari, Olatunji Ruwase, Feng Yan, Lei Yang, Yuxiong He
2022	J	`jnl`	AI Augmented Edge and Fog Computing: Trends and Challenges. CoRR Shreshth Tuli, Fatemeh Mirhakimi, Samodha Pallewatta, Syed Zawad, Giuliano Casale, Bahman Javadi, Feng Yan, Rajkumar Buyya, Nicholas R. Jennings
2022	J	`jnl`	BiFeat: Supercharge GNN Training via Graph Feature Quantization. CoRR Yuxin Ma, Ping Gong, Jun Yi, Zhewei Yao, Minjie Wang, Cheng Li, Yuxiong He, Feng Yan
2022	J	`jnl`	Enabling Cost-Effective, SLO-Aware Machine Learning Inference Serving on Public Cloud. IEEE Trans. Cloud Comput. Chengliang Zhang, Minchen Yu, Wei Wang, Feng Yan
2022	B	`conf`	Heterogeneity-Aware Adaptive Federated Learning Scheduling. IEEE Big Data Jingoo Han, Ahmad Faraz Khan, Syed Zawad, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Feng Yan, Ali Raza Butt
2022	—	`ch.`	Introduction to Federated Learning Systems. Federated Learning Syed Zawad, Feng Yan, Ali Anwar
2022	—	`ch.`	Local Training and Scalability of Federated Learning Systems. Federated Learning Syed Zawad, Feng Yan, Ali Anwar
2022	J	`jnl`	Memory Scaling of Cloud-Based Big Data Systems: A Hybrid Approach. IEEE Trans. Big Data Xinying Wang, Cong Xu, Ke Wang, Feng Yan, Dongfang Zhao
2022	J	`jnl`	NASRec: Weight Sharing Neural Architecture Search for Recommender Systems. CoRR Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Feng Yan, Hai Li, Yiran Chen, Wei Wen
2022	J	`jnl`	Nemo: An Open-Source Transformer-Supercharged Benchmark for Fine-Grained Wildfire Smoke Detection. Remote. Sens. Amirhessam Yazdi, Heyang Qin, Connor B. Jordan, Lei Yang, Feng Yan
2022	J	`jnl`	Optimizing Inference Serving on Serverless Platforms. Proc. VLDB Endow. Ahsan Ali, Riccardo Pinciroli, Feng Yan, Evgenia Smirni
2022	J	`jnl`	PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud. CoRR Tunhou Zhang, Mingyuan Ma, Feng Yan, Hai Li, Yiran Chen
2022	J	`jnl`	SMLT: A Serverless Framework for Scalable and Adaptive Machine Learning Design and Training. CoRR Ahsan Ali, Syed Zawad, Paarijaat Aditya, Istemi Ekin Akkus, Ruichuan Chen, Feng Yan
2022	—	`conf`	ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation. AutoML Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen
2022	J	`jnl`	Sion: Elastic Serverless Cloud Storage. CoRR Jingyuan Zhang, Ao Wang, Xiaolong Ma, Benjamin Carver, Nicholas John Newman, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng
2022	—	`ch.`	Straggler Management. Federated Learning Syed Zawad, Feng Yan, Ali Anwar
2022	—	`ch.`	Systems Bias in Federated Learning. Federated Learning Syed Zawad, Feng Yan, Ali Anwar
2022	B	`conf`	TIFF: Tokenized Incentive for Federated Learning. CLOUD Jingoo Han, Ahmad Faraz Khan, Syed Zawad, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Feng Yan, Ali Raza Butt
2022	A	`conf`	Topological Modeling and Parallelization of Multidimensional Data on Microelectrode Arrays. IPDPS Olamide Timothy Tawose, Bin Li, Lei Yang, Feng Yan, Dongfang Zhao
2021	J	`jnl`	AutoGR: Automated Geo-Replication with Fast System Performance and Preserved Application Semantics. Proc. VLDB Endow. Jiawei Wang, Cheng Li, Kai Ma, Jingze Huo, Feng Yan, Xinyu Feng, Yinlong Xu
2021	A	`conf`	BAASH: lightweight, efficient, and reliable blockchain-as-a-service for HPC systems. SC Abdullah Al-Mamun, Feng Yan, Dongfang Zhao
2021	J	`jnl`	CEDULE+: Resource Management for Burstable Cloud Instances Using Predictive Analytics. IEEE Trans. Netw. Serv. Manag. Riccardo Pinciroli, Ahsan Ali, Feng Yan, Evgenia Smirni
2021	J	`jnl`	Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning with SGX. CoRR Chengliang Zhang, Junzhe Xia, Baichen Yang, Huancheng Puyang, Wei Wang, Ruichuan Chen, Istemi Ekin Akkus, Paarijaat Aditya, Feng Yan
2021	—	`conf`	Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning. SoCC Chengliang Zhang, Junzhe Xia, Baichen Yang, Huancheng Puyang, Wei Wang, Ruichuan Chen, Istemi Ekin Akkus, Paarijaat Aditya, Feng Yan
2021	A*	`conf`	Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning. AAAI Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan
2021	J	`jnl`	Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning. CoRR Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan
2021	A*	`conf`	Gradient Compression Supercharged High-Performance Data Parallel DNN Training. SOSP Youhui Bai, Cheng Li, Quan Zhou, Jun Yi, Ping Gong, Feng Yan, Ruichuan Chen, Yinlong Xu
2021	A	`conf`	Lunule: an agile and judicious metadata load balancer for CephFS. SC Yiduo Wang, Cheng Li, Xinyang Shao, Youxu Chen, Feng Yan, Yinlong Xu
2021	A*	`conf`	NASGEM: Neural Architecture Search via Graph Embedding Method. AAAI Hsin-Pai Cheng, Tunhou Zhang, Yixing Zhang, Shiyu Li, Feng Liang, Feng Yan, Meng Li, Vikas Chandra, Hai Li, Yiran Chen
2021	J	`jnl`	STEP: A Spatio-Temporal Fine-Granular User Traffic Prediction System for Cellular Networks. IEEE Trans. Mob. Comput. Lixing Yu, Ming Li, Wenqiang Jin, Yifan Guo, Qianlong Wang, Feng Yan, Pan Li
2021	A*	`conf`	SciChain: Blockchain-enabled Lightweight and Efficient Data Provenance for Reproducible Scientific Computing. ICDE Abdullah Al-Mamun, Feng Yan, Dongfang Zhao
2021	A*	`conf`	SimiGrad: Fine-Grained Adaptive Batching for Large Scale Training using Gradient Similarity Measurement. NeurIPS Heyang Qin, Samyam Rajbhandari, Olatunji Ruwase, Feng Yan, Lei Yang, Yuxiong He
2021	—	`conf`	The Age of Correlated Features in Supervised Learning based Forecasting. INFOCOM Workshops Md Kamran Chowdhury Shisher, Heyang Qin, Lei Yang, Feng Yan, Yin Sun
2021	J	`jnl`	The Age of Correlated Features in Supervised Learning based Forecasting. CoRR Md Kamran Chowdhury Shisher, Heyang Qin, Lei Yang, Feng Yan, Yin Sun
2021	—	`conf`	Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression. DRBSD@SC Xinying Wang, Lipeng Wan, Jieyang Chen, Qian Gong, Ben Whitney, Jinzhen Wang, Ana Gainaru, Qing Liu, Norbert Podhorszki, Dongfang Zhao, Feng Yan, Scott Klasky
2021	—	`conf`	X-composer: enabling cross-environments in-situ workflows between HPC and cloud. PASC Feng Li, Dali Wang, Feng Yan, Fengguang Song
2020	A*	`conf`	AutoGrow: Automatic Layer Growing in Deep Convolutional Networks. KDD Wei Wen, Feng Yan, Yiran Chen, Hai Li
2020	A*	`conf`	AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture. AAAI Tunhou Zhang, Hsin-Pai Cheng, Zhenwen Li, Feng Yan, Chengyu Huang, Hai Helen Li, Yiran Chen
2020	A	`conf`	Batch: machine learning inference serving on serverless platforms with adaptive batching. SC Ahsan Ali, Riccardo Pinciroli, Feng Yan, Evgenia Smirni
2020	—	`conf`	BatchCrypt: Efficient Homomorphic Encryption for Cross-Silo Federated Learning. USENIX ATC Chengliang Zhang, Suyi Li, Junzhe Xia, Wei Wang, Feng Yan, Yang Liu
2020	J	`jnl`	Distributed Nonblocking Commit Protocols for Many-Party Cross-Blockchain Transactions. CoRR Xinying Wang, Olamide Timothy Tawose, Feng Yan, Dongfang Zhao
2020	J	`jnl`	ElasticBroker: Combining HPC with Cloud to Provide Realtime Insights into Simulations. CoRR Feng Li, Dali Wang, Feng Yan, Fengguang Song
2020	A*	`conf`	HDK: Toward High-Performance Deep-Learning-Based Kirchhoff Analysis. AAAI Xinying Wang, Olamide Timothy Tawose, Feng Yan, Dongfang Zhao
2020	A	`conf`	InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache. FAST Ao Wang, Jingyuan Zhang, Xiaolong Ma, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng
2020	J	`jnl`	InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache. CoRR Ao Wang, Jingyuan Zhang, Xiaolong Ma, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng
2020	—	`conf`	Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification. CVPR Workshops Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen
2020	J	`jnl`	Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification. CoRR Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen
2020	J	`jnl`	NASGEM: Neural Architecture Search via Graph Embedding Method. CoRR Hsin-Pai Cheng, Tunhou Zhang, Shiyu Li, Feng Yan, Meng Li, Vikas Chandra, Hai Helen Li, Yiran Chen
2020	A	`conf`	Not All Explorations Are Equal: Harnessing Heterogeneous Profiling Cost for Efficient MLaaS Training. IPDPS Jun Yi, Chengliang Zhang, Wei Wang, Cheng Li, Feng Yan
2020	J	`jnl`	Reinforcement-Learning-Empowered MLaaS Scheduling for Serving Intelligent Internet of Things. IEEE Internet Things J. Heyang Qin, Syed Zawad, Yanqi Zhou, Sanjay Padhi, Lei Yang, Feng Yan
2020	A	`conf`	SEFEE: lightweight storage error forecasting in large-scale enterprise storage systems. SC Amirhessam Yazdi, Xing Lin, Lei Yang, Feng Yan
2020	J	`jnl`	ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition. CoRR Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen
2020	A	`conf`	TiFL: A Tier-based Federated Learning System. HPDC Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng
2020	J	`jnl`	TiFL: A Tier-based Federated Learning System. CoRR Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng
2019	J	`jnl`	AutoGrow: Automatic Layer Growing in Deep Convolutional Networks. CoRR Wei Wen, Feng Yan, Hai Helen Li
2019	J	`jnl`	AutoShrink: A Topology-aware NAS for Discovering Efficient Neural Architecture. CoRR Tunhou Zhang, Hsin-Pai Cheng, Zhenwen Li, Feng Yan, Chengyu Huang, Hai Helen Li, Yiran Chen
2019	J	`jnl`	BlockLite: A Lightweight Emulator for Public Blockchains. CoRR Xinying Wang, Abdullah Al-Mamun, Feng Yan, Mohammad Sadoghi, Dongfang Zhao
2019	J	`jnl`	EPNAS: Efficient Progressive Neural Architecture Search. CoRR Yanqi Zhou, Peng Wang, Sercan Ömer Arik, Haonan Yu, Syed Zawad, Feng Yan, Greg Diamos
2019	A	`conf`	GRNN: Low-Latency and Scalable RNN Inference on GPUs. EuroSys Connor Holmes, Daniel Mawhirter, Yuxiong He, Feng Yan, Bo Wu
2019	—	`conf`	It's not a Sprint, it's a Marathon: Stretching Multi-resource Burstable Performance in Public Clouds. Middleware Industry Ahsan Ali, Riccardo Pinciroli, Feng Yan, Evgenia Smirni
2019	—	`conf`	MArk: Exploiting Cloud Services for Cost-Effective, SLO-Aware Machine Learning Inference Serving. USENIX ATC Chengliang Zhang, Minchen Yu, Wei Wang, Feng Yan
2019	—	`conf`	MSNet: Structural Wired Neural Architecture Search for Internet of Things. ICCV Workshops Hsin-Pai Cheng, Tunhou Zhang, Yukun Yang, Feng Yan, Harris Teague, Yiran Chen, Hai Li
2019	A	`conf`	Swift machine learning model serving scheduling: a region based reinforcement learning approach. SC Heyang Qin, Syed Zawad, Yanqi Zhou, Lei Yang, Dongfang Zhao, Feng Yan
2019	J	`jnl`	SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures. CoRR Hsin-Pai Cheng, Tunhou Zhang, Yukun Yang, Feng Yan, Shiyu Li, Harris Teague, Hai Helen Li, Yiran Chen
2019	B	`conf`	Toward Accurate and Efficient Emulation of Public Blockchains in the Cloud. CLOUD Xinying Wang, Abdullah Al-Mamun, Feng Yan, Dongfang Zhao
2019	B	`conf`	Towards Decentralized Deep Learning with Differential Privacy. CLOUD Hsin-Pai Cheng, Patrick Yu, Haojing Hu, Syed Zawad, Feng Yan, Shiyu Li, Hai Helen Li, Yiran Chen
2018	—	`conf`	CEDULE: A Scheduling Framework for Burstable Performance in Cloud Computing. ICAC Ahsan Ali, Riccardo Pinciroli, Feng Yan, Evgenia Smirni
2018	J	`jnl`	Differentiable Fine-grained Quantization for Deep Neural Network Compression. CoRR Hsin-Pai Cheng, Yuanjun Huang, Xuyang Guo, Yifei Huang, Feng Yan, Hai Li, Yiran Chen
2018	J	`jnl`	Efficient Deep Neural Network Serving: Fast and Furious. IEEE Trans. Netw. Serv. Manag. Feng Yan, Yuxiong He, Olatunji Ruwase, Evgenia Smirni
2018	J	`jnl`	LEASGD: an Efficient and Privacy-Preserving Decentralized Algorithm for Distributed Learning. CoRR Hsin-Pai Cheng, Patrick Yu, Haojing Hu, Feng Yan, Shiyu Li, Hai Li, Yiran Chen
2018	J	`jnl`	SmoothOut: Smoothing Out Sharp Minima for Generalization in Large-Batch Deep Learning. CoRR Wei Wen, Yandan Wang, Feng Yan, Cong Xu, Yiran Chen, Hai Li
2018	A	`conf`	Stay Fresh: Speculative Synchronization for Fast Distributed Machine Learning. ICDCS Chengliang Zhang, Huangshi Tian, Wei Wang, Feng Yan
2018	—	`conf`	Toward Cost-Effective Memory Scaling in Clouds: Symbiosis of Virtual and Physical Memory. IEEE CLOUD Xinying Wang, Cong Xu, Ke Wang, Feng Yan, Dongfang Zhao
2017	J	`jnl`	DyScale: A MapReduce Job Scheduler for Heterogeneous Multicore Processors. IEEE Trans. Cloud Comput. Feng Yan, Ludmila Cherkasova, Zhuoyao Zhang, Evgenia Smirni
2017	B	`conf`	How to Supercharge the Amazon T2: Observations and Suggestions. CLOUD Feng Yan, Lihua Ren, Daniel J. Dubois, Giuliano Casale, Jiawei Wen, Evgenia Smirni
2017	A	`conf`	HyperDrive: exploring hyperparameters with POP scheduling. Middleware Jeff Rasley, Yuxiong He, Feng Yan, Olatunji Ruwase, Rodrigo Fonseca
2017	—	`conf`	TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning. NIPS Wei Wen, Cong Xu, Feng Yan, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li
2017	J	`jnl`	TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning. CoRR Wei Wen, Cong Xu, Feng Yan, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li
2016	J	`jnl`	PREFiguRE: An Analytic Framework for HDD Management. ACM Trans. Model. Perform. Evaluation Comput. Syst. Feng Yan, Xenia Mountrouidou, Alma Riska, Evgenia Smirni
2016	A	`conf`	SERF: efficient scheduling for fast deep neural network serving via judicious parallelism. SC Feng Yan, Yuxiong He, Olatunji Ruwase, Evgenia Smirni
2016	J	`jnl`	Scheduling data analytics work with performance guarantees: queuing and machine learning models in synergy. Clust. Comput. Ji Xue, Feng Yan, Alma Riska, Evgenia Smirni
2016	B	`conf`	Workload interleaving with performance guarantees in data centers. NOMS Feng Yan, Evgenia Smirni
2015	Misc	`conf`	PRACTISE - Demonstrating a Neural Network Based Framework for Robust Prediction of Data Center Workload. UCC Thomas Scherer, Ji Xue, Feng Yan, Robert Birke, Lydia Y. Chen, Evgenia Smirni
2015	B	`conf`	PRACTISE: Robust prediction of data center time series. CNSM Ji Xue, Feng Yan, Robert Birke, Lydia Y. Chen, Thomas Scherer, Evgenia Smirni
2015	A*	`conf`	Performance Modeling and Scalability Optimization of Distributed Deep Learning Systems. KDD Feng Yan, Olatunji Ruwase, Yuxiong He, Trishul M. Chilimbi
2015	—	`conf`	Proactive Management of Systems via Hybrid Analytic Techniques. ICCAC Ji Xue, Feng Yan, Alma Riska, Evgenia Smirni
2014	B	`conf`	Agile middleware for scheduling: meeting competing performance requirements of diverse tasks. ICPE Feng Yan, Shannon Hughes, Alma Riska, Evgenia Smirni
2014	B	`conf`	Heterogeneous cores for MapReduce processing: Opportunity or challenge? NOMS Feng Yan, Ludmila Cherkasova, Zhuoyao Zhang, Evgenia Smirni
2014	—	`conf`	Optimizing Power and Performance Trade-offs of MapReduce Job Processing with Heterogeneous Multi-core Processors. IEEE CLOUD Feng Yan, Ludmila Cherkasova, Zhuoyao Zhang, Evgenia Smirni
2014	—	`conf`	Storage Workload Isolation via Tier Warming: How Models Can Help. ICAC Ji Xue, Feng Yan, Alma Riska, Evgenia Smirni
2013	B	`conf`	Overcoming Limitations of Off-the-Shelf Priority Schedulers in Dynamic Environments. MASCOTS Feng Yan, Shannon Hughes, Alma Riska, Evgenia Smirni
2012	B	`conf`	Busy bee: how to use traffic information for better scheduling of background tasks. ICPE Feng Yan, Alma Riska, Evgenia Smirni
2012	—	`conf`	Fast Eventual Consistency with Performance Guarantees for Distributed Storage. ICDCS Workshops Feng Yan, Alma Riska, Evgenia Smirni
2012	—	`conf`	Quantitative Estimation of the Performance Delay with Propagation Effects in Disk Power Savings. HotPower Feng Yan, Xenia Mountrouidou, Evgenia Smirni
2012	—	`conf`	Toward fast eventual consistency with performance guarantees. ICAC Feng Yan, Alma Riska, Evgenia Smirni
2011	J	`jnl`	Copy rate synchronization with performance guarantees for work consolidation in storage clusters. SIGMETRICS Perform. Evaluation Rev. Feng Yan, Xenia Mountrouidou, Alma Riska, Evgenia Smirni
2011	B	`conf`	Toward Automating Work Consolidation with Performance Guarantees in Storage Clusters. MASCOTS Feng Yan, Xenia Mountrouidou, Alma Riska, Evgenia Smirni