• Publications
  • Influence
Information Sharing and Order Variability Control Under a Generalized Demand Model
It is found that information sharing together with order postponement improves the supply chain performance, even though the order variability may amplify in some cases. Expand
Stack-based Algorithms for Pattern Matching on DAGs
This paper proposes a family of stack-based algorithms to handle path, twig, and dag pattern queries for directed acyclic graphs (DAGs) in particular and achieves an optimal runtime complexity quadratic in the average size of the query variable bindings. Expand
Software-based self-testing methodology for processor cores
  • L. Chen, S. Dey
  • Computer Science
  • IEEE Trans. Comput. Aided Des. Integr. Circuits…
  • 1 March 2001
A new software-based self-testing methodology for processors, which uses a software tester embedded in the processor memory as a vehicle for applying structural tests and demonstrates its significant cost/fault coverage benefits and its ability to apply at-speed test while alleviating the need for high-speed testers. Expand
News impact on stock price return via sentiment analysis
Results show that at individual stock, sector and index levels, the models with sentiment analysis outperform the bag-of-words model in both validation set and independent testing set, and the models which use sentiment polarity cannot provide useful predictions. Expand
A high performance ECC hardware implementation with instruction-level parallelism over GF(2163)
A high performance elliptic curve cryptographic processor over GF(2^1^6^3) for the applications that require high performance and has three finite field RISC cores and a main controller to achieve instruction-level parallelism (ILP) for elliptic Curve point multiplication. Expand
Bullwhip Effect Measurement and Its Implications
This paper develops a simple set of formulas that describe the traditional bullwhip measure as a combined outcome of several important drivers, such as finite capacity, batch-ordering, and seasonality, and shows that an aggregated measurement over relatively long time periods can mask the operational-level bullwhips. Expand
A scalable software-based self-test methodology for programmable processors
Experimental results demonstrate that software self-test programs generated using the proposed methodology are able to detect most (95.2%) of the functionally testable faults, and achieve significant simultaneous improvements in fault coverage and test length compared with conventional functional test. Expand
Tight Bounds for Some Risk Measures, with Applications to Robust Portfolio Selection
Tight bounds on the expected values of several risk measures that are of interest to us are developed, and the robust optimization problem in that case can be solved by means of semidefinite programming (SDP), if no more than two additional chance inequalities are to be incorporated. Expand
Bounds and Heuristics for Optimal Bayesian Inventory Control with Unobserved Lost Sales
  • L. Chen
  • Mathematics, Computer Science
  • Oper. Res.
  • 1 March 2010
This paper considers a finite-horizon inventory control problem for a nonperishable product with unobserved lost sales and a demand distribution having an unknown parameter and proposes two heuristics that outperform the myopic policies by a wide margin. Expand
An integrated transcriptomic and computational analysis for biomarker identification in gastric cancer
The novel information obtained in this study has led to identification of promising diagnostic markers for gastric cancer and can benefit further analyses of the key (early) abnormalities during its development. Expand