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ORCIDShan Jiang 0007
Person information
- affiliation: North Carolina State University, Department of Industrial and Systems Engineering, Raleigh, NC, USA
Other persons with the same name
- Shan Jiang — disambiguation page
- Shan Jiang 0001 — University of Illinois at Urbana-Champaign, Department of Computer Science, Urbana, IL, USA (and 1 more)
- Shan Jiang 0002
![[0000-0003-1792-1503]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-1792-1503")
— University of Massachusetts Boston, Department of Management Science and Information Systems, MA, USA (and 1 more) - Shan Jiang 0003 — University of California, Irvine, Department of Computer Science, CA, USA
- Shan Jiang 0004 — Tufts University, Department of Urban and Environmental Policy and Planning / Department of Civil & Environmental Engineering, Medford, MA, USA (and 1 more)
- Shan Jiang 0005 — Hong Kong Polytechnic University, Department of Computing, Hong Kong
- Shan Jiang 0006 — Tsinghua University, Department of Automation, Beijing, China
- Shan Jiang 0008 — Northeastern University, MA, USA (and 2 more)
- Shan Jiang 0009 — Tianjin University, Tianjin, China
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Journal Articles
- 2022
[j5]Jianqin Zhou, Shu-Cherng Fang, Shan Jiang, Songdong Ju:
Optimal planar facility location with dense demands along a curve. J. Oper. Res. Soc. 73(8): 1844-1855 (2022)- 2021
- [j4]Shan Jiang, Shu-Cherng Fang, Qingwei Jin:
Sparse Solutions by a Quadratically Constrained ℓ q (0 q < 1) Minimization Model. INFORMS J. Comput. 33(2): 511-530 (2021) - 2020
- [j3]Shan Jiang, Shu-Cherng Fang, Tiantian Nie, Wenxun Xing:
A gradient descent based algorithm for ℓp minimization. Eur. J. Oper. Res. 283(1): 47-56 (2020) - [j2]Shan Jiang, Shu-Cherng Fang, Tiantian Nie, Qi An:
Structured linear reformulation of binary quadratically constrained quadratic programs. Optim. Lett. 14(3): 611-636 (2020) - 2019
- [j1]Shan Jiang, Shu-Cherng Fang, Qi An, John E. Lavery:
A sub-one quasi-norm-based similarity measure for collaborative filtering in recommender systems. Inf. Sci. 487: 142-155 (2019)
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