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Yue Niu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. 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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Other persons with the same name
- Yue Niu 0001 — University of Southern California, Los Angeles, CA, USA (and 1 more)
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2020 – today
- 2024
- [j18]Harrison Grodin, Yue Niu, Jonathan Sterling, Robert Harper:
Decalf: A Directed, Effectful Cost-Aware Logical Framework. Proc. ACM Program. Lang. 8(POPL): 273-301 (2024) - [j17]Tingting Tang, Yue Niu, Salman Avestimehr, Murali Annavaram:
Edge Private Graph Neural Networks with Singular Value Perturbation. Proc. Priv. Enhancing Technol. 2024(3): 391-406 (2024) - [j16]Sunwoo Lee, Tuo Zhang, Saurav Prakash, Yue Niu, Salman Avestimehr:
Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training. IEEE Trans. Mob. Comput. 23(12): 11133-11143 (2024) - [c10]Yue Niu, Ramy E. Ali, Saurav Prakash, Salman Avestimehr:
All Rivers Run to the Sea: Private Learning with Asymmetric Flows. CVPR 2024: 12353-12362 - [c9]Annan Wang, Yue Niu, Xuewu Wang, Shengxi Wu:
RevPose: A Multi-Stage Reversible Networks for Human Pose Estimation. IJCNN 2024: 1-8 - [c8]Lei Gao, Yue Niu, Tingting Tang, Salman Avestimehr, Murali Annavaram:
Ethos: Rectifying Language Models in Orthogonal Parameter Space. NAACL-HLT (Findings) 2024: 2054-2068 - [i16]Yue Niu, Saurav Prakash, Salman Avestimehr:
ATP: Enabling Fast LLM Serving via Attention on Top Principal Keys. CoRR abs/2403.02352 (2024) - [i15]Lei Gao, Yue Niu, Tingting Tang, Salman Avestimehr, Murali Annavaram:
Ethos: Rectifying Language Models in Orthogonal Parameter Space. CoRR abs/2403.08994 (2024) - [i14]Tingting Tang, Yue Niu, Salman Avestimehr, Murali Annavaram:
Edge Private Graph Neural Networks with Singular Value Perturbation. CoRR abs/2403.10995 (2024) - [i13]Yue Niu, Jonathan Sterling, Robert Harper:
Cost-sensitive computational adequacy of higher-order recursion in synthetic domain theory. CoRR abs/2404.00212 (2024) - [i12]Sunwoo Lee, Tuo Zhang, Saurav Prakash, Yue Niu, Salman Avestimehr:
Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training. CoRR abs/2406.15125 (2024) - [i11]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 abs/2407.18272 (2024) - [i10]Lei Gao, Amir Ziashahabi, Yue Niu, Salman Avestimehr, Murali Annavaram:
Enabling Resource-Efficient On-Device Fine-Tuning of LLMs Using Only Inference Engines. CoRR abs/2409.15520 (2024) - 2023
- [j15]Yue Niu, Annan Wang, Xuewu Wang, Shengxi Wu:
ConvPose: A modern pure ConvNet for human pose estimation. Neurocomputing 544: 126301 (2023) - [j14]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) - [j13]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) - [j12]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) - [c7]Yue Niu, Parth Prashant Lathi, Ryozo Nagamune:
Floating Offshore Wind Farm Control via Turbine Repositioning with Aerodynamic Force*. ACC 2023: 2542-2547 - [c6]Xiruo Liu, Furqan Khan, Yue Niu, Pradeep Natarajan, Rinat Khaziev, Salman Avestimehr, Prateek Singhal:
Performance and Failure Cause Estimation for Machine Learning Systems in the Wild. ICVS 2023: 377-390 - [c5]Yue Niu, Robert Harper:
A Metalanguage for Cost-Aware Denotational Semantics. LICS 2023: 1-14 - [i9]Harrison Grodin, Robert Harper, Yue Niu, Jonathan Sterling:
Decalf: A Directed, Effectful Cost-Aware Logical Framework. CoRR abs/2307.05938 (2023) - [i8]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 abs/2307.13744 (2023) - [i7]Yue Niu, Ramy E. Ali, Saurav Prakash, Salman Avestimehr:
All Rivers Run to the Sea: Private Learning with Asymmetric Flows. CoRR abs/2312.05264 (2023) - 2022
- [j11]Yue Niu, Jonathan Sterling, Harrison Grodin, Robert Harper:
A cost-aware logical framework. Proc. ACM Program. Lang. 6(POPL): 1-31 (2022) - [j10]Yue Niu, Ramy E. Ali, Salman Avestimehr:
3LegRace: Privacy-Preserving DNN Training over TEEs and GPUs. Proc. Priv. Enhancing Technol. 2022(4): 183-203 (2022) - [j9]Junbo Zhou, Maohua Xiao, Yue Niu, Guojun Ji:
Rolling Bearing Fault Diagnosis Based on WGWOA-VMD-SVM. Sensors 22(16): 6281 (2022) - [i6]Sara Babakniya, Souvik Kundu, Saurav Prakash, Yue Niu, Salman Avestimehr:
Federated Sparse Training: Lottery Aware Model Compression for Resource Constrained Edge. CoRR abs/2208.13092 (2022) - [i5]Yue Niu, Saurav Prakash, Souvik Kundu, Sunwoo Lee, Salman Avestimehr:
Federated Learning of Large Models at the Edge via Principal Sub-Model Training. CoRR abs/2208.13141 (2022) - [i4]Yue Niu, Robert Harper:
A metalanguage for cost-aware denotational semantics. CoRR abs/2209.12669 (2022) - 2021
- [j8]Yue Niu, Hongjie Zhang, Jing Li:
A Pitman-Yor Process Self-Aggregated Topic Model for Short Texts of Social Media. IEEE Access 9: 129011-129021 (2021) - [j7]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: 102868 (2021) - [j6]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: 104149 (2021) - [i3]Yue Niu, Jonathan Sterling, Harrison Grodin, Robert Harper:
A cost-aware logical framework. CoRR abs/2107.04663 (2021) - [i2]Yue Niu, Ramy E. Ali, Salman Avestimehr:
AsymML: An Asymmetric Decomposition Framework for Privacy-Preserving DNN Training and Inference. CoRR abs/2110.01229 (2021) - 2020
- [i1]Yue Niu, Robert Harper:
Cost-Aware Type Theory. CoRR abs/2011.03660 (2020)
2010 – 2019
- 2019
- [j5]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): 2891-2898 (2019) - 2018
- [c4]Yue Niu, Jan Hoffmann:
Automatic Space Bound Analysis for Functional Programs with Garbage Collection. LPAR 2018: 543-563 - 2017
- [j4]Feifei Xiao, Yue Niu, Ning Hao, Yanxun Xu, Zhilin Jin, Heping Zhang:
modSaRa: a computationally efficient R package for CNV identification. Bioinform. 33(15): 2384-2385 (2017) - 2014
- [j3]HongJun Yin, Jing Li, Yue Niu:
Detecting Local Communities within a Large Scale Social Network Using Mapreduce. Int. J. Intell. Inf. Technol. 10(1): 57-76 (2014) - 2013
- [j2]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): 20130579 (2013) - [c3]HongJun Yin, Jing Li, Yue Niu:
FFSB: Fast Fibonacci Series-Based personalized PageRank on MPI. ICICS 2013: 1-6 - 2010
- [c2]Jun Fang, Lei Guo, Yue Niu:
Documents classification by using ontology reasoning and similarity measure. FSKD 2010: 1535-1539 - [c1]Yue Niu, Yanxia Gao, Shuibao Guo, Xuefang Lin-Shi, Bruno Allard:
Sliding Mode Controller for Switching Mode Power Supply. LSMS/ICSEE (1) 2010: 416-424
2000 – 2009
- 2007
- [j1]Jianqing Fan, Yue Niu:
Selection and validation of normalization methods for c-DNA microarrays using within-array replications. Bioinform. 23(18): 2391-2398 (2007)
Coauthor Index
aka: Salman Avestimehr
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