Travelled to:3 × USA
Collaborated with:Y.Chen H.Li Q.Wu M.Hu X.Li T.Huang M.Barnell R.E.Pino H.H.Li H.Jiang C.Wu Q.Qiu W.Wen C.Wu X.Hu T.Ho Z.Mao W.Zhang C.Liu B.Yan C.Yang L.Song Z.Li X.Liu M.Mao B.Li Y.Wang J.Yang
Talks about:neuromorph (5) comput (4) memristor (3) design (3) crossbar (2) system (2) train (2) reconfigur (1) framework (1) challeng (1)
Person: Beiye Liu
DBLP: Liu:Beiye
Contributed to:
201520132012Wrote 7 papers:
- DAC-2015-LiuLCLWH #named
- Vortex: variation-aware training for memristor X-bar (BL, HL, YC, XL, QW, TH), p. 6.
- DAC-2015-LiuMLLCLWJBWY #configuration management #design #named
- RENO: a high-efficient reconfigurable neuromorphic computing accelerator design (XL, MM, BL, HL, YC, BL, YW, HJ, MB, QW, JY), p. 6.
- DAC-2015-LiuWLCWBQ #challenge #design #security
- Cloning your mind: security challenges in cognitive system designs and their solutions (BL, CW, HL, YC, QW, MB, QQ), p. 5.
- DAC-2015-LiuYYSLLCLWJ #design
- A spiking neuromorphic design with resistive crossbar (CL, BY, CY, LS, ZL, BL, YC, HL, QW, HJ), p. 6.
- DAC-2015-WenWHLHLC #framework #hybrid #scalability
- An EDA framework for large scale hybrid neuromorphic computing systems (WW, CRW, XH, BL, TYH, XL, YC), p. 6.
- DAC-2013-LiuHLMCHZ
- Digital-assisted noise-eliminating training for memristor crossbar-based analog neuromorphic computing engine (BL, MH, HL, ZHM, YC, TH, WZ), p. 6.
- DAC-2012-PinoLCHL #case study #modelling #statistics
- Statistical memristor modeling and case study in neuromorphic computing (REP, HHL, YC, MH, BL), pp. 585–590.