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Ye Shi
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
- Ye Shi 0001 — ShanghaiTech University, School of Information Science Technology, Shanghai, China (and 1 more)
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2020 – today
- 2025
- [j17]Shaoyuan Li, Yuxiang Zheng, Ye Shi, Shengjun Huang, Songcan Chen:
KD-Crowd: a knowledge distillation framework for learning from crowds. Frontiers Comput. Sci. 19(1): 191302 (2025) - [j16]Ping Qiu, Zhao Cai, Xiang T. R. Kong, Hing Kai Chan, Ye Shi:
Disentangling the impact of bidding price on advertising performance in E-commerce search advertising: The moderating role of product competitiveness. Inf. Manag. 62(2): 104096 (2025) - 2024
- [j15]Haimin Lu, Ye Shi, Zhi Pei:
A distributionally robust approach for the parallel machine scheduling problem with optional machines and job tardiness. Comput. Oper. Res. 170: 106776 (2024) - [c15]Ye Shi, C. S. George Lee:
Uniform Transformation: Refining Latent Representation in Variational Autoencoders. CASE 2024: 2786-2792 - [i11]Ye Shi, C. S. George Lee:
Uniform Transformation: Refining Latent Representation in Variational Autoencoders. CoRR abs/2407.02681 (2024) - [i10]Haixiang sun, Ye Shi:
Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective. CoRR abs/2410.23391 (2024) - [i9]Shijie Wu, Yihang Zhu, Yunao Huang, Kaizhen Zhu, Jiayuan Gu, Jingyi Yu, Ye Shi, Jingya Wang:
AffordDP: Generalizable Diffusion Policy with Transferable Affordance. CoRR abs/2412.03142 (2024) - 2023
- [j14]Yugang Yu, Ting Wang, Ye Shi:
Analytics for multiperiod risk-averse newsvendor under nonstationary demands. Decis. Sci. 54(5): 554-572 (2023) - [j13]Ye Shi, Shao-Yuan Li, Sheng-Jun Huang:
Learning from crowds with sparse and imbalanced annotations. Mach. Learn. 112(6): 1823-1845 (2023) - [c14]Ping Qiu, Zhao Cai, Hing Kai Chan, Xiangtianrui Kong, Ye Shi:
Disentangling the Impact of Bidding Price on Click-through Rate and Product Sales in E-commerce Search Advertising. PACIS 2023: 125 - 2022
- [j12]Shaoyuan Li, Ye Shi, Sheng-Jun Huang, Songcan Chen:
Improving deep label noise learning with dual active label correction. Mach. Learn. 111(3): 1103-1124 (2022) - [j11]Ruiheng Zhang, Lixin Xu, Zhengyu Yu, Ye Shi, Chengpo Mu, Min Xu:
Deep-IRTarget: An Automatic Target Detector in Infrared Imagery Using Dual-Domain Feature Extraction and Allocation. IEEE Trans. Multim. 24: 1735-1749 (2022) - 2021
- [j10]Ye Shi, Yugang Yu, Yuxuan Dong:
Warehousing platform's revenue management: A dynamic model of coordinating space allocation for self-use and rent. Eur. J. Oper. Res. 293(1): 167-176 (2021) - [j9]Ye Shi, Layth C. Alwan, Srinivasan Raghunathan, Yugang Yu, Xiaohang Yue:
Mobile Consumer Scanning Technology: A Replacement for Interorganizational Information Systems for Demand Information Learning in Supply Chains? Inf. Syst. Res. 32(4): 1431-1449 (2021) - [c13]Haozhen Zhao, Shi Ye, Jingchao Yang:
An Empirical Study on Transfer Learning for Privilege Review. IEEE BigData 2021: 2729-2733 - [i8]Christian J. Mahoney, Katie Jensen, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye:
Application of Deep Learning in Recognizing Bates Numbers and Confidentiality Stamping from Images. CoRR abs/2102.02995 (2021) - [i7]Ye Shi, Shao-Yuan Li, Sheng-Jun Huang:
Learning from Crowds with Sparse and Imbalanced Annotations. CoRR abs/2107.05039 (2021) - [i6]Haozhen Zhao, Shi Ye, Jingchao Yang:
An Empirical Study on Transfer Learning for Privilege Review. CoRR abs/2112.08606 (2021) - 2020
- [j8]Huan Yu, Ye Shi, Yugang Yu, Jie Liu, Feng Yang, Jie Wu:
Business analytics: online promotion with gift rewards. Ann. Oper. Res. 291(1): 1061-1076 (2020) - [j7]Ye Shi, Ting Wang, Layth C. Alwan:
Analytics for Cross-Border E-Commerce: Inventory Risk Management of an Online Fashion Retailer. Decis. Sci. 51(6): 1347-1376 (2020) - [c12]Christian J. Mahoney, Katie Jensen, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye:
Application of Deep Learning in Recognizing Bates Numbers and Confidentiality Stamping from Images. IEEE BigData 2020: 2127-2130
2010 – 2019
- 2019
- [j6]Ye Shi, Layth C. Alwan, Christopher S. Tang, Xiaohang Yue:
A newsvendor model with autocorrelated demand under a time-consistent dynamic CVaR measure. IISE Trans. 51(6): 653-671 (2019) - [c11]Robert Keeling, Rishi Chhatwal, Nathaniel Huber-Fliflet, Jianping Zhang, Fusheng Wei, Haozhen Zhao, Ye Shi, Han Qin:
Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review. IEEE BigData 2019: 2038-2042 - [c10]Nathaniel Huber-Fliflet, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye, Amy Tsang:
Image Analytics for Legal Document Review : A Transfer Learning Approach. IEEE BigData 2019: 4325-4328 - [c9]Christian J. Mahoney, Nathaniel Huber-Fliflet, Haozhen Zhao, Jianping Zhang, Peter Gronvall, Shi Ye:
Evaluation of Seed Set Selection Approaches and Active Learning Strategies in Predictive Coding. LegalAIIA@ICAIL 2019: 23-31 - [c8]Yuwei Sun, Jianbao Zhu, Qingshan Ma, Xinchun Yu, Ye Shi, Yu Chen:
Picture Management of Power Supply Safety Management System Based on Deep Learning Technology. ICSCC 2019: 71-75 - [i5]Christian J. Mahoney, Nathaniel Huber-Fliflet, Katie Jensen, Haozhen Zhao, Robert Neary, Shi Ye:
Empirical Evaluations of Seed Set Selection Strategies for Predictive Coding. CoRR abs/1903.08816 (2019) - [i4]Fusheng Wei, Han Qin, Shi Ye, Haozhen Zhao:
Empirical Study of Deep Learning for Text Classification in Legal Document Review. CoRR abs/1904.01723 (2019) - [i3]Christian J. Mahoney, Nathaniel Huber-Fliflet, Haozhen Zhao, Jianping Zhang, Peter Gronvall, Shi Ye:
Evaluation of Seed Set Selection Approaches and Active Learning Strategies in Predictive Coding. CoRR abs/1906.04367 (2019) - [i2]Robert Keeling, Rishi Chhatwal, Nathaniel Huber-Fliflet, Jianping Zhang, Fusheng Wei, Haozhen Zhao, Shi Ye, Han Qin:
Empirical Comparisons of CNN with Other Learning Algorithms for Text Classification in Legal Document Review. CoRR abs/1912.09499 (2019) - [i1]Nathaniel Huber-Fliflet, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye, Amy Tsang:
Image Analytics for Legal Document Review: A Transfer Learning Approach. CoRR abs/1912.12169 (2019) - 2018
- [b1]Ye Shi:
Nonconvex and nonsmooth optimization for robust control and power systems. University of Technology Sydney, Australia, 2018 - [j5]Ye Shi, Xiaolong Guo, Yugang Yu:
Dynamic warehouse size planning with demand forecast and contract flexibility. Int. J. Prod. Res. 56(3): 1313-1325 (2018) - [j4]Ye Shi, Xiaolong Guo, Ting Peng:
Sizing the pool of online users: a dynamic pricing model for online travel agencies. J. Oper. Res. Soc. 69(9): 1456-1467 (2018) - [j3]Bin Li, Ye Shi, Adam K. Fontecchio, Yon Visell:
Mechanical Imaging of Soft Tissues With a Highly Compliant Tactile Sensing Array. IEEE Trans. Biomed. Eng. 65(3): 687-697 (2018) - [c7]Christian J. Mahoney, Nathaniel Huber-Fliflet, Katie Jensen, Haozhen Zhao, Robert Neary, Shi Ye:
Empirical Evaluations of Seed Set Selection Strategies for Predictive Coding. IEEE BigData 2018: 3292-3301 - [c6]Fusheng Wei, Han Qin, Shi Ye, Haozhen Zhao:
Empirical Study of Deep Learning for Text Classification in Legal Document Review. IEEE BigData 2018: 3317-3320 - [c5]Zhiwei Yu, Ye Shi, Ao Luo, Jielian Tao, Simon X. Yang:
Research on Landing Collision Experiment of Gecko Robot with Bio-inspired Dry Adhesive Foot. ICIA 2018: 336-340 - 2015
- [c4]Ye Shi, Zai-jun Wu, Xiao-Bo Dou, Ming-qiang Hu:
A composite space vector hysteresis current controller based on duration allocation strategy. IECON 2015: 2024-2029 - [c3]Wenchao Fan, Zaijun Wu, Xiaobo Dou, Ye Shi, Yang Wang, Mingxing Zhou:
Preliminary study on adaptive fast-tripping current protection for microgrid. ISGT Asia 2015: 1-6 - 2014
- [j2]Junfeng Dong, Ye Shi, Liang Liang:
Futures and Option Contracts of the Supply Chain Influenced by e-Business Market. Asia Pac. J. Oper. Res. 31(5) (2014) - 2012
- [c2]Houde Liu, Bin Liang, Wenfu Xu, Xueqian Wang, Ye Shi:
Development of ground experiment system for space robot performing fine manipulation. ICARCV 2012: 1107-1112 - 2011
- [j1]Kai Li, Ye Shi, Shanlin Yang, Bayi Cheng:
Parallel machine scheduling problem to minimize the makespan with resource dependent processing times. Appl. Soft Comput. 11(8): 5551-5557 (2011)
2000 – 2009
- 2009
- [c1]Yuan Shi, Lap Keung Chu, Shi Ye, Jian Ni:
A Portfolio Approach to Procurement Risk Management. DET 2009: 1357-1369
Coauthor Index
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