Referred Journal Publications

1. Tiantian Nie, Ziteng Wang, Shu-Cherng Fang and John E. Lavery, 2017. Convex shape preservation of cubic L1 spline fits. Annals of Data Science, 4(1), pp. 123-147. [PDF]

2. Tiantian Nie, Shu-Cherng Fang, Zhibin Deng and John Lavery, 2016. On linear conic relaxation of discrete quadratic programs. Optimization Methods and Software, 31(4), pp. 737-754. [PDF]

3. Han-Lin Li, Shu-Cherng Fang, Yao-Huei Huang and Tiantian Nie, 2016. An enhanced logarithmic method for signomial programming with discrete variables. European Journal on Operational Research, 255(3), pp. 922-934. [PDF]


Papers Under Revision/Review

1. Xiaohu Qian, Shu-Cherng Fang, Min Huang, Tiantian Nie and Xingwei Wang. Bidding decisions of non-equilibrium strategic thinking in reverse auctions. Under Review, Journal of the Operational Research Society, Submitted 2017.

2. Qi An, Shu-Cherng Fang, Han-Lin Li and Tiantian Nie. Enhanced linear reformulation for engineering optimization models with discrete and bounded continuous variables, Under Review, Applied Mathematical Modelling, Submitted 2017.

3. Qi An, Shu-Cherng Fang, Tiantian Nie and Shan Jiang. l1-norm based central point analysis for asymmetric radial data, Under Review, Annals of Data Science, Submitted 2017.

4. Shan Jiang, Shu-Cherng Fang, Tiantian Nie and Qi An, Structured linear reformulation of binary quadratically constrained quadratic programs, Under Review, Optimization Letters, Submitted 2017.


Working Papers

1. Tiantian Nie, Shu-Cherng Fang and Qi An. On l1-norm constrained quadratic programs. 

2. Zhibin Deng, Shu-Cherng Fang, Tiantian Nie and Ye Tian,  Note on linear conic semi-infinite programming. 

3. Shan Jiang, Shu-Cherng Fang, Tiantian Nie and Qi An. A gradient decent algorithm for linearly constrained lp norm minimization problems.