Yue Niu

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 32

Top Topics

Fault Diagnosis

Denotational Semantics

Resource Constrained

Top Venues

Trans. Mach. Learn. Res.

Proc. Priv. Enhancing Technol.

Publications

Tingting Tang, Yue Niu, Salman Avestimehr, Murali Annavaram
Edge Private Graph Neural Networks with Singular Value Perturbation. Proc. Priv. Enhancing Technol. 2024 (3) (2024)
Harrison Grodin, Yue Niu, Jonathan Sterling, Robert Harper
Decalf: A Directed, Effectful Cost-Aware Logical Framework. Proc. ACM Program. Lang. 8 (POPL) (2024)
Sunwoo Lee, Tuo Zhang, Saurav Prakash, Yue Niu, Salman Avestimehr
Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training. CoRR (2024)
Lei Gao, Yue Niu, Tingting Tang, Salman Avestimehr, Murali Annavaram
Ethos: Rectifying Language Models in Orthogonal Parameter Space. CoRR (2024)
Tingting Tang, Yue Niu, Salman Avestimehr, Murali Annavaram
Edge Private Graph Neural Networks with Singular Value Perturbation. CoRR (2024)
Yue Niu, Saurav Prakash, Salman Avestimehr
ATP: Enabling Fast LLM Serving via Attention on Top Principal Keys. CoRR (2024)
Asal Mehradfar, Xuzhe Zhao, Yue Niu, Sara Babakniya, Mahdi Alesheikh, Hamidreza Aghasi, Salman Avestimehr
AICircuit: A Multi-Level Dataset and Benchmark for AI-Driven Analog Integrated Circuit Design. CoRR (2024)
Yue Niu, Jonathan Sterling, Robert Harper
Cost-sensitive computational adequacy of higher-order recursion in synthetic domain theory. CoRR (2024)
Yue Niu, Ramy E. Ali, Saurav Prakash, Salman Avestimehr
All Rivers Run to the Sea: Private Learning with Asymmetric Flows. CoRR (2023)
Yue Niu, Robert Harper
A Metalanguage for Cost-Aware Denotational Semantics. LICS (2023)
Yue Niu, Zalan Fabian, Sunwoo Lee, Mahdi Soltanolkotabi, Salman Avestimehr
mL-BFGS: A Momentum-based L-BFGS for Distributed Large-scale Neural Network Optimization. Trans. Mach. Learn. Res. 2023 (2023)
Yue Niu, Zalan Fabian, Sunwoo Lee, Mahdi Soltanolkotabi, Salman Avestimehr
mL-BFGS: A Momentum-based L-BFGS for Distributed Large-Scale Neural Network Optimization. CoRR (2023)
Yue Niu, Parth Prashant Lathi, Ryozo Nagamune
. ACC (2023)
Harrison Grodin, Robert Harper, Yue Niu, Jonathan Sterling
Decalf: A Directed, Effectful Cost-Aware Logical Framework. CoRR (2023)
Sara Babakniya, Souvik Kundu, Saurav Prakash, Yue Niu, Salman Avestimehr
Revisiting Sparsity Hunting in Federated Learning: Why does Sparsity Consensus Matter? Trans. Mach. Learn. Res. 2023 (2023)
Yue Niu, Saurav Prakash, Souvik Kundu, Sunwoo Lee, Salman Avestimehr
Overcoming Resource Constraints in Federated Learning: Large Models Can Be Trained with only Weak Clients. Trans. Mach. Learn. Res. 2023 (2023)
Yue Niu, Annan Wang, Xuewu Wang, Shengxi Wu
ConvPose: A modern pure ConvNet for human pose estimation. Neurocomputing 544 (2023)
Yue Niu, Robert Harper
A metalanguage for cost-aware denotational semantics. CoRR (2022)
Junbo Zhou, Maohua Xiao, Yue Niu, Guojun Ji
Rolling Bearing Fault Diagnosis Based on WGWOA-VMD-SVM. Sensors 22 (16) (2022)
Yue Niu, Jonathan Sterling, Harrison Grodin, Robert Harper
A cost-aware logical framework. Proc. ACM Program. Lang. 6 (POPL) (2022)
Sara Babakniya, Souvik Kundu, Saurav Prakash, Yue Niu, Salman Avestimehr
Federated Sparse Training: Lottery Aware Model Compression for Resource Constrained Edge. CoRR (2022)
Yue Niu, Saurav Prakash, Souvik Kundu, Sunwoo Lee, Salman Avestimehr
Federated Learning of Large Models at the Edge via Principal Sub-Model Training. CoRR (2022)
Yue Niu, Ramy E. Ali, Salman Avestimehr
3LegRace: Privacy-Preserving DNN Training over TEEs and GPUs. Proc. Priv. Enhancing Technol. 2022 (4) (2022)
Yue Niu, Hongjie Zhang, Jing Li
A Pitman-Yor Process Self-Aggregated Topic Model for Short Texts of Social Media. IEEE Access 9 (2021)
Jie Yang, Weimin Bao, Yanming Liu, Xiaoping Li, Junjie Wang, Yue Niu
A pairwise graph regularized constraint based on deep belief network for fault diagnosis. Digit. Signal Process. 108 (2021)
Yue Niu, Jonathan Sterling, Harrison Grodin, Robert Harper
A cost-aware logical framework. CoRR (2021)
Jie Yang, Weimin Bao, Yanming Liu, Xiaoping Li, Junjie Wang, Yue Niu, Jin Li
Joint pairwise graph embedded sparse deep belief network for fault diagnosis. Eng. Appl. Artif. Intell. 99 (2021)
Yue Niu, Ramy E. Ali, Salman Avestimehr
AsymML: An Asymmetric Decomposition Framework for Privacy-Preserving DNN Training and Inference. CoRR (2021)
Yue Niu, Robert Harper
Cost-Aware Type Theory. CoRR (2020)
Feifei Xiao, Xizhi Luo, Ning Hao, Yue Niu, Xiangjun Xiao, Guoshuai Cai, Christopher I. Amos, Heping Zhang
An accurate and powerful method for copy number variation detection. Bioinform. 35 (17) (2019)
Yue Niu, Jan Hoffmann
Automatic Space Bound Analysis for Functional Programs with Garbage Collection. LPAR (2018)
Feifei Xiao, Yue Niu, Ning Hao, Yanxun Xu, Zhilin Jin, Heping Zhang
modSaRa: a computationally efficient R package for CNV identification. Bioinform. 33 (15) (2017)
HongJun Yin, Jing Li, Yue Niu
Detecting Local Communities within a Large Scale Social Network Using Mapreduce. Int. J. Intell. Inf. Technol. 10 (1) (2014)
Lianxi Liu, Yue Niu, Jiao Zou, Zhangming Zhu
A novel DC and PWM dual-mode dimming circuit for the WLED driver. IEICE Electron. Express 10 (19) (2013)
HongJun Yin, Jing Li, Yue Niu
FFSB: Fast Fibonacci Series-Based personalized PageRank on MPI. ICICS (2013)
Yue Niu, Yanxia Gao, Shuibao Guo, Xuefang Lin-Shi, Bruno Allard
Sliding Mode Controller for Switching Mode Power Supply. LSMS/ICSEE (1) (2010)
Jun Fang, Lei Guo, Yue Niu
Documents classification by using ontology reasoning and similarity measure. FSKD (2010)
Jianqing Fan, Yue Niu
Selection and validation of normalization methods for c-DNA microarrays using within-array replications. Bioinform. 23 (18) (2007)