BibSLEIGH — Ling

Travelled to:

1 × Korea
1 × Taiwan
1 × United Kingdom
3 × USA

Collaborated with:

S.Wang E.A.Rundensteiner Liang Gao 0001 M.Mani M.Jiang Bin-qi Sun Jing-jing Wang X.Li J.Deng Mao Tan Miqing Li T.Lin H.Xue H.Zha G.Xiang B.Fan J.I.Hong C.P.Rosé Yuesheng Luo C.Lu Meng Zhao Mi Xiao Kunkun Peng Quan-Ke Pan Xudong Deng C.Li X.Zhang K.Dimitrova M.El-Sayed B.Murphy B.Pielech M.Mulchandani L.Ding

Talks about:

algorithm (6) schedul (6) problem (5) distribut (3) shop (3) xml (3) machin (2) improv (2) hybrid (2) updat (2)

Person: Ling Wang

DBLP: Wang:Ling

Contributed to:

2014

2012

2006

2003

2018

2019

Wrote 13 papers:

CASE-2014-DengWW #algorithm #distributed #problem #scheduling: A competitive memetic algorithm for the distributed flow shop scheduling problem (JD, LW, SW), pp. 107–112.
CASE-2014-WangW #algorithm #estimation #problem #scheduling #testing: Compact estimation of distribution algorithm for semiconductor final testing scheduling problem (SW, LW), pp. 113–118.
CIKM-2012-XiangFWHR #corpus #detection #scalability #topic #twitter: Detecting offensive tweets via topical feature discovery over a large scale twitter corpus (GX, BF, LW, JIH, CPR), pp. 1980–1984.
ICML-2012-LinXWZ #learning: Total Variation and Euler’s Elastica for Supervised Learning (TL, HX, LW, HZ), p. 82.
CIKM-2006-WangRMJ #approach #named #xml: HUX: a schemacentric approach for updating XML views (LW, EAR, MM, MJ), pp. 816–817.
VLDB-2006-WangRMJ #named #xml: HUX: Handling Updates in XML (LW, EAR, MM, MJ), pp. 1235–1238.
SIGMOD-2003-ZhangDWEMPMDR #multi #named #optimisation #using #xml: Rainbow: Multi-XQuery Optimization Using Materialized XML Views (XZ, KD, LW, MES, BM, BP, MM, LD, EAR), p. 671.
CASE-2018-TanLW #algorithm #scheduling: An Improved NSGA-II based Algorithm for Economical Hot Rolling Batch Scheduling under Time-sensitive Electricity Prices (MT, ML, LW), pp. 962–967.
CASE-2019-LuoLLWG #multi #optimisation #problem #scheduling #using: Green Job Shop Scheduling Problem with Machine at Different Speeds using a multi-objective grey wolf optimization algorithm* (YL, CL, XL, LW, LG0), pp. 573–578.
CASE-2019-PengPWDLG #problem #scheduling: Iterated Local Search for Steelmaking-refining-Continuous Casting Scheduling Problem (KP, QKP, LW, XD, CL, LG0), pp. 567–572.
CASE-2019-SunW #algorithm #assembly #design #hybrid #network: Hybrid Evolutionary Algorithm for Integrated Supply Chain Network Design With Assembly Line Balancing (BqS, LW), pp. 885–890.
CASE-2019-WangW #algorithm #distributed #hybrid #problem #scheduling: An Iterated Greedy Algorithm for Distributed Hybrid Flowshop Scheduling Problem with Total Tardiness Minimization (JjW, LW), pp. 350–355.
CASE-2019-ZhaoLGWX #flexibility: An improved Q-learning based rescheduling method for flexible job-shops with machine failures (MZ, XL, LG0, LW, MX), pp. 331–337.