Complexity Issues in Learning by Neural Nets. - Jyh-Han Lin; Jeffrey Scott Vitter (COLT, 1989)

Complexity Results on Learning by Neural Nets. - Jyh-Han Lin; Jeffrey Scott Vitter (Mach. Learn., 1991)

Nearly Optimal Vecot Quantization via Linear Programming. - Jyh-Han Lin; Jeffrey Scott Vitter (Data Compression Conference, 1992)

epsilon-Approximations with Minimum Packing Constraint Violation (Extended Abstract) - Jyh-Han Lin; Jeffrey Scott Vitter (STOC, 1992)

Approximation Algorithms for Geometric Median Problems. - Jyh-Han Lin; Jeffrey Scott Vitter (Inf. Process. Lett., 1992)

Learning in Parallel - Jeffrey Scott Vitter; Jyh-Han Lin (Inf. Comput., 1992)

A Theory for Memory-Based Learning. - Jyh-Han Lin; Jeffrey Scott Vitter (Mach. Learn., 1994)

Experiencing and handling the diversity in data density and environmental locality in an indoor positioning service. - Liqun Li; Guobin Shen; Chunshui Zhao; Thomas Moscibroda; Jyh-Han Lin; Feng Zhao 001 (MobiCom, 2014)