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Shi Pu
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2020 – today
- 2024
- [j33]Yu Shi, Shi Pu, Hongmei Peng, Jing Zhang, Yang Li, Xia Huang, Caiping Song, Yu Luo:
Impact of mobile application and outpatient follow-up on renal endpoints and physiological indices in patients with chronic kidney disease: a retrospective cohort study in Southwest China. BMC Medical Informatics Decis. Mak. 24(1): 163 (2024) - [j32]Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan:
Optimal gradient tracking for decentralized optimization. Math. Program. 207(1): 1-53 (2024) - [j31]Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan:
Provably Accelerated Decentralized Gradient Methods Over Unbalanced Directed Graphs. SIAM J. Optim. 34(1): 1131-1156 (2024) - [j30]Kun Huang, Xiao Li, Shi Pu:
Distributed Stochastic Optimization Under a General Variance Condition. IEEE Trans. Autom. Control. 69(9): 6105-6120 (2024) - [c29]Ziyu Wang, Shi Pu, Songpan Hong, Xingyu Huang, Chen Wang:
A Semi-Loop Seawater Tube Antenna Solution for 2.4 GHz Wi-Fi Router. ICC Workshops 2024: 1726-1730 - [i26]Kun Huang, Shi Pu, Angelia Nedic:
An Accelerated Distributed Stochastic Gradient Method with Momentum. CoRR abs/2402.09714 (2024) - [i25]Lingyun Zhang, Bin Jin, Gaojian Ge, Lunhui Liu, Xuewen Shen, Mingyong Wu, Houqian Zhang, Yongneng Jiang, Shiqi Chen, Shi Pu:
HARE: HumAn pRiors, a key to small language model Efficiency. CoRR abs/2406.11410 (2024) - 2023
- [j29]Yijie Zhou, Shi Pu:
Private and Accurate Decentralized Optimization via Encrypted and Structured Functional Perturbation. IEEE Control. Syst. Lett. 7: 1339-1344 (2023) - [j28]Kun Huang, Shi Pu:
Improving the Transient Times for Distributed Stochastic Gradient Methods. IEEE Trans. Autom. Control. 68(7): 4127-4142 (2023) - [j27]Kun Huang, Xiao Li, Andre Milzarek, Shi Pu, Junwen Qiu:
Distributed Random Reshuffling Over Networks. IEEE Trans. Signal Process. 71: 1143-1158 (2023) - [c28]Pravin Chopade, Shi Pu, Michelle LaMar, Christopher Kurzum:
Task-Based Workplace English: An Adaptive Multimodal Tutoring System. AIED (Posters/Late Breaking Results/...) 2023: 378-383 - [c27]Yiwei Liao, Zhuorui Li, Shi Pu:
A Linearly Convergent Robust Compressed Push-Pull Method for Decentralized Optimization. CDC 2023: 4156-4161 - [c26]Bo Wang, Kaili Zhao, Hongyang Zhao, Shi Pu, Bo Xiao, Jun Guo:
Video Attribute Prototype Network: A New Perspective for Zero-Shot Video Classification. ICCV (Workshops) 2023: 315-324 - [c25]Fan Bao, Shen Nie, Kaiwen Xue, Chongxuan Li, Shi Pu, Yaole Wang, Gang Yue, Yue Cao, Hang Su, Jun Zhu:
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale. ICML 2023: 1692-1717 - [c24]Shengfang Zhai, Yinpeng Dong, Qingni Shen, Shi Pu, Yuejian Fang, Hang Su:
Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning. ACM Multimedia 2023: 1577-1587 - [c23]Qiqi Xu, Guanhua Chen, Lan Shuai, Shi Pu, Hai Liu, Tianyong Hao:
A Positive-Negative Dual-View Model for Knowledge Tracing. NCAA (2) 2023: 492-504 - [i24]Kun Huang, Shi Pu:
CEDAS: A Compressed Decentralized Stochastic Gradient Method with Improved Convergence. CoRR abs/2301.05872 (2023) - [i23]Kun Huang, Xiao Li, Shi Pu:
Distributed Stochastic Optimization under a General Variance Condition. CoRR abs/2301.12677 (2023) - [i22]Fan Bao, Shen Nie, Kaiwen Xue, Chongxuan Li, Shi Pu, Yaole Wang, Gang Yue, Yue Cao, Hang Su, Jun Zhu:
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale. CoRR abs/2303.06555 (2023) - [i21]Shengfang Zhai, Yinpeng Dong, Qingni Shen, Shi Pu, Yuejian Fang, Hang Su:
Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning. CoRR abs/2305.04175 (2023) - [i20]Kun Huang, Linli Zhou, Shi Pu:
Distributed Random Reshuffling Methods with Improved Convergence. CoRR abs/2306.12037 (2023) - 2022
- [j26]Xin-Li Sheng, Yang Li, Shi Pu, Qun Wang:
Lorentz Transformation in Maxwell Equations for Slowly Moving Media. Symmetry 14(8): 1641 (2022) - [j25]Yiwei Liao, Zhuorui Li, Kun Huang, Shi Pu:
A Compressed Gradient Tracking Method for Decentralized Optimization With Linear Convergence. IEEE Trans. Autom. Control. 67(10): 5622-5629 (2022) - [j24]Shi Pu, Alex Olshevsky, Ioannis Ch. Paschalidis:
A Sharp Estimate on the Transient Time of Distributed Stochastic Gradient Descent. IEEE Trans. Autom. Control. 67(11): 5900-5915 (2022) - [j23]Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan:
Compressed Gradient Tracking for Decentralized Optimization Over General Directed Networks. IEEE Trans. Signal Process. 70: 1775-1787 (2022) - [c22]Shi Pu, Lee Becker, Misaki Kato:
Automatic Identification of Non-native English Speaker's Phoneme Mispronunciation Tendencies. AIED (2) 2022: 608-611 - [c21]Shi Pu, Lee Becker:
Self-attention in Knowledge Tracing: Why It Works. AIED (1) 2022: 731-736 - [c20]Shi Pu, Kaili Zhao, Mao Zheng:
Alignment-Uniformity aware Representation Learning for Zero-shot Video Classification. CVPR 2022: 19936-19945 - [c19]Yue Zhao, Yang Chuan, Shi Pu, Xuwen Han, Shiyu Xia, Yanqi Xie:
Intelligent rush repair of unmanned distribution network based on deep reinforcement learning. MSN 2022: 996-1000 - [i19]Shi Pu, Kaili Zhao, Mao Zheng:
Alignment-Uniformity aware Representation Learning for Zero-shot Video Classification. CoRR abs/2203.15381 (2022) - 2021
- [j22]Weidong Zhao, Shi Pu:
Collaboration prediction in heterogeneous academic network with dynamic structure and topic. Knowl. Inf. Syst. 63(8): 2053-2074 (2021) - [j21]Shi Pu, Angelia Nedic:
Distributed stochastic gradient tracking methods. Math. Program. 187(1): 409-457 (2021) - [j20]Shu-Dong Lin, Shi Pu, Chen Wang, Hai-Yang Ren:
Compact Design of Annular-Microstrip-Fed mmW Antenna Arrays. Sensors 21(11): 3695 (2021) - [j19]Shuhang Bie, Shi Pu:
Array Design of 300 GHz Dual-Band Microstrip Antenna Based on Dual-Surfaced Multiple Split-Ring Resonators. Sensors 21(14): 4912 (2021) - [j18]Shi Pu, Wei Shi, Jinming Xu, Angelia Nedic:
Push-Pull Gradient Methods for Distributed Optimization in Networks. IEEE Trans. Autom. Control. 66(1): 1-16 (2021) - [j17]Enes Ugur, Chi Xu, Fei Yang, Shi Pu, Bilal Akin:
A New Complete Condition Monitoring Method for SiC Power MOSFETs. IEEE Trans. Ind. Electron. 68(2): 1654-1664 (2021) - [j16]Shi Pu, Yibing Song, Chao Ma, Honggang Zhang, Ming-Hsuan Yang:
Learning Recurrent Memory Activation Networks for Visual Tracking. IEEE Trans. Image Process. 30: 725-738 (2021) - [c18]Geoffrey A. Converse, Shi Pu, Suely Oliveira:
Incorporating Item Response Theory into Knowledge Tracing. AIED (2) 2021: 114-118 - [c17]Shi Pu, Geoffrey A. Converse, Yuchi Huang:
Deep Performance Factors Analysis for Knowledge Tracing. AIED (1) 2021: 331-341 - [c16]Thanh Thieu, Ha Do, Thanh Duong, Shi Pu, Sathyanarayanan N. Aakur, Saad Khan:
LexDivPara: A Measure of Paraphrase Quality with Integrated Sentential Lexical Complexity. IntelliSys (3) 2021: 1-10 - [i18]Zhuorui Li, Yiwei Liao, Kun Huang, Shi Pu:
Compressed Gradient Tracking for Decentralized Optimization with Linear Convergence. CoRR abs/2103.13748 (2021) - [i17]Kun Huang, Shi Pu:
Improving the Transient Times for Distributed Stochastic Gradient Methods. CoRR abs/2105.04851 (2021) - [i16]Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan:
Compressed Gradient Tracking for Decentralized Optimization Over General Directed Networks. CoRR abs/2106.07243 (2021) - [i15]Zhuoqing Song, Lei Shi, Shi Pu, Ming Yan:
Provably Accelerated Decentralized Gradient Method Over Unbalanced Directed Graphs. CoRR abs/2107.12065 (2021) - [i14]Kun Huang, Xiao Li, Andre Milzarek, Shi Pu, Junwen Qiu:
Distributed Random Reshuffling over Networks. CoRR abs/2112.15287 (2021) - 2020
- [j15]Weidong Zhao, Shi Pu, Danni Jiang:
A human resource allocation method for business processes using team faultlines. Appl. Intell. 50(9): 2887-2900 (2020) - [j14]Ran Xin, Shi Pu, Angelia Nedic, Usman A. Khan:
A General Framework for Decentralized Optimization With First-Order Methods. Proc. IEEE 108(11): 1869-1889 (2020) - [j13]Jin Feng, Peng Xu, Shi Pu, Kaili Zhao, Honggang Zhang:
Robust visual tracking by embedding combination and weighted-gradient optimization. Pattern Recognit. 104: 107339 (2020) - [j12]Shi Pu, Alex Olshevsky, Ioannis Ch. Paschalidis:
Asymptotic Network Independence in Distributed Stochastic Optimization for Machine Learning: Examining Distributed and Centralized Stochastic Gradient Descent. IEEE Signal Process. Mag. 37(3): 114-122 (2020) - [j11]Xingkai Yu, Shi Pu, Jianxun Li:
An Optimal Filter for Singular Systems With Stochastic Multiplicative Disturbance. IEEE Trans. Circuits Syst. 67-II(12): 3607-3611 (2020) - [j10]Shi Pu, José Joaquín Escudero Garzás, Alfredo García, Shahin Shahrampour:
An Online Mechanism for Resource Allocation in Networks. IEEE Trans. Control. Netw. Syst. 7(3): 1140-1150 (2020) - [j9]Shi Pu, Enes Ugur, Fei Yang, Bilal Akin:
In situ Degradation Monitoring of SiC MOSFET Based on Switching Transient Measurement. IEEE Trans. Ind. Electron. 67(6): 5092-5100 (2020) - [c15]Shi Pu, Michael Yudelson, Lu Ou, Yuchi Huang:
Deep Knowledge Tracing with Transformers. AIED (2) 2020: 252-256 - [c14]Shi Pu:
A Robust Gradient Tracking Method for Distributed Optimization over Directed Networks. CDC 2020: 2335-2341 - [i13]Shi Pu:
A Robust Gradient Tracking Method for Distributed Optimization over Directed Networks. CoRR abs/2003.13980 (2020) - [i12]Ran Xin, Shi Pu, Angelia Nedic, Usman A. Khan:
A general framework for decentralized optimization with first-order methods. CoRR abs/2009.05837 (2020) - [i11]Shi Pu, Yijiang He, Zheng Li, Mao Zheng:
Multimodal Topic Learning for Video Recommendation. CoRR abs/2010.13373 (2020)
2010 – 2019
- 2019
- [j8]Shi Pu, Kaili Zhao, Honggang Zhang:
Learning Objectness Transfer Networks for Visual Tracking. IEEE Access 7: 148706-148717 (2019) - [j7]Yu Yan, Simon Hooper, Shi Pu:
Gamification and Student Engagement with a Curriculum-based Measurement System. Int. J. Learn. Anal. Artif. Intell. Educ. 1(1): 102-115 (2019) - [c13]Jin Feng, Shi Pu, Kaili Zhao, Honggang Zhang, Tianming Du:
Enhanced Initialization with Multi-Stage Learning for Robust Visual Tracking. VCIP 2019: 1-4 - [i10]Alex Olshevsky, Ioannis Ch. Paschalidis, Shi Pu:
A Non-Asymptotic Analysis of Network Independence for Distributed Stochastic Gradient Descent. CoRR abs/1906.02702 (2019) - [i9]Alex Olshevsky, Ioannis Ch. Paschalidis, Shi Pu:
Asymptotic Network Independence in Distributed Optimization for Machine Learning. CoRR abs/1906.12345 (2019) - 2018
- [j6]Shi Pu, Alfredo García:
A Flocking-Based Approach for Distributed Stochastic Optimization. Oper. Res. 66(1): 267-281 (2018) - [j5]Shi Pu, Alfredo García:
Swarming for Faster Convergence in Stochastic Optimization. SIAM J. Control. Optim. 56(4): 2997-3020 (2018) - [j4]Shi Pu, Alfredo García:
Erratum: Swarming for Faster Convergence in Stochastic Optimization. SIAM J. Control. Optim. 56(6): 4488-4492 (2018) - [c12]Shi Pu, Angelia Nedic:
A Distributed Stochastic Gradient Tracking Method. CDC 2018: 963-968 - [c11]Shi Pu, Wei Shi, Jinming Xu, Angelia Nedic:
A Push-Pull Gradient Method for Distributed Optimization in Networks. CDC 2018: 3385-3390 - [c10]Ian Pytlarz, Shi Pu, Monal Patel, Rajini Prabhu:
What can we learn from college students' network transactions? Constructing useful features for student success prediction. EDM 2018 - [c9]Shi Pu, Yibing Song, Chao Ma, Honggang Zhang, Ming-Hsuan Yang:
Deep Attentive Tracking via Reciprocative Learning. NeurIPS 2018: 1935-1945 - [i8]Shi Pu, Wei Shi, Jinming Xu, Angelia Nedich:
A Push-Pull Gradient Method for Distributed Optimization in Networks. CoRR abs/1803.07588 (2018) - [i7]Shi Pu, Angelia Nedic:
A Distributed Stochastic Gradient Tracking Method. CoRR abs/1803.07741 (2018) - [i6]Shi Pu, Angelia Nedic:
Distributed Stochastic Gradient Tracking Methods. CoRR abs/1805.11454 (2018) - [i5]Shi Pu, Alfredo García:
Swarming for Faster Convergence in Stochastic Optimization. CoRR abs/1806.04207 (2018) - [i4]Shi Pu, Yibing Song, Chao Ma, Honggang Zhang, Ming-Hsuan Yang:
Deep Attentive Tracking via Reciprocative Learning. CoRR abs/1810.03851 (2018) - [i3]Shi Pu, Wei Shi, Jinming Xu, Angelia Nedic:
Push-Pull Gradient Methods for Distributed Optimization in Networks. CoRR abs/1810.06653 (2018) - 2016
- [j3]Shi Pu, Alfredo García, Zongli Lin:
Noise Reduction by Swarming in Social Foraging. IEEE Trans. Autom. Control. 61(12): 4007-4013 (2016) - [c8]Shi Pu, Honggang Zhang, Kaili Zhao:
Structure and appearance preserving network flow for multi-object tracking. ICPR 2016: 1804-1808 - 2015
- [c7]Shi Pu, Hon Tat Hui:
An efficient wireless power transmission system by employing 3 × 3 stacked coil antenna arrays. RFID-TA 2015: 171-175 - 2014
- [c6]Joyce Sakata, Mengdi Zhang, Shi Pu, Jianqi Xing, Kritika Versha:
Beam: a mobile application to improve happiness and mental health. CHI Extended Abstracts 2014: 221-226 - 2013
- [j2]Hao Wang, Shi Pu, Gabe Knezek, Jyh-Charn Liu:
MIN-MAX: A Counter-Based Algorithm for Regular Expression Matching. IEEE Trans. Parallel Distributed Syst. 24(1): 92-103 (2013) - [c5]Shi Pu, Hon Tat Hui:
Improvement of power gain for efficient wireless power transmission by using 2Tx×2Rx coil array. ISIE 2013: 1-4 - [c4]Shi Pu, Jyh-Charn Liu:
EAGL: An Elliptic Curve Arithmetic GPU-Based Library for Bilinear Pairing. Pairing 2013: 1-19 - [i2]Shi Pu, Jyh-Charn Liu:
Computing Privacy-Preserving Edit Distance and Smith-Waterman Problems on the GPU Architecture. IACR Cryptol. ePrint Arch. 2013: 204 (2013) - 2012
- [c3]John M. Pecarina, Shi Pu, Jyh-Charn Liu:
SAPPHIRE: Anonymity for enhanced control and private collaboration in healthcare clouds. CloudCom 2012: 99-106 - 2011
- [i1]Shi Pu, Pu Duan, Jyh-Charn Liu:
Fastplay-A Parallelization Model and Implementation of SMC on CUDA based GPU Cluster Architecture. IACR Cryptol. ePrint Arch. 2011: 97 (2011) - 2010
- [c2]Hao Wang, Shi Pu, Gabriel Knezek, Jyh-Charn Liu:
A modular NFA architecture for regular expression matching. FPGA 2010: 209-218
2000 – 2009
- 2009
- [j1]Shi Pu, George Vosselman:
Building Facade Reconstruction by Fusing Terrestrial Laser Points and Images. Sensors 9(6): 4525-4542 (2009) - 2007
- [c1]Shi Pu, Bo Lang:
An Intrusion Detection Method Based on System Call Temporal Serial Analysis. ICIC (1) 2007: 656-666
Coauthor Index
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last updated on 2024-10-07 21:15 CEST by the dblp team
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