Huang Hantao
Huang Hantao
Verified email at E.NTU.EDU.SG
Cited by
Cited by
A multiagent minority-game-based demand-response management of smart buildings toward peak load reduction
H Huang, Y Cai, H Xu, H Yu
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2016
Distributed in-memory computing on binary RRAM crossbar
L Ni, H Huang, Z Liu, RV Joshi, H Yu
ACM Journal on Emerging Technologies in Computing Systems (JETC) 13 (3), 1-18, 2017
Fair energy resource allocation by minority game algorithm for smart buildings
C Zhang, W Wu, H Huang, H Yu
2012 Design, Automation & Test in Europe Conference & Exhibition (DATE), 63-68, 2012
A highly parallel and energy efficient three-dimensional multilayer CMOS-RRAM accelerator for tensorized neural network
H Huang, L Ni, K Wang, Y Wang, H Yu
IEEE Transactions on Nanotechnology 17 (4), 645-656, 2017
Distributed machine learning based smart-grid energy management with occupant cognition
H Xu, H Huang, RS Khalid, H Yu
2016 IEEE International Conference on Smart Grid Communications …, 2016
A Q-learning based self-adaptive I/O communication for 2.5 D integrated many-core microprocessor and memory
SM PD, H Yu, H Huang, D Xu
IEEE Transactions on Computers 65 (4), 1185-1196, 2015
LTNN: A layerwise tensorized compression of multilayer neural network
H Huang, H Yu
IEEE transactions on neural networks and learning systems 30 (5), 1497-1511, 2018
Distributed-neuron-network based machine learning on smart-gateway network towards real-time indoor data analytics
H Huang, Y Cai, H Yu
2016 Design, Automation & Test in Europe Conference & Exhibition (DATE), 720-725, 2016
Finding the evidence: Localization-aware answer prediction for text visual question answering
W Han, H Huang, T Han
arXiv preprint arXiv:2010.02582, 2020
A real-time cyber-physical energy management system for smart houses
W Wu, MK Aziz, H Huang, H Yu, HB Gooi
2011 IEEE PES Innovative Smart Grid Technologies, 1-8, 2011
Distributed machine learning on smart-gateway network toward real-time smart-grid energy management with behavior cognition
H Huang, H Xu, Y Cai, RS Khalid, H Yu
ACM Transactions on Design Automation of Electronic Systems (TODAES) 23 (5 …, 2018
Reinforcement learning based self-adaptive voltage-swing adjustment of 2.5 DI/Os for many-core microprocessor and memory communication
H Hantao, PDS Manoj, D Xu, H Yu, Z Hao
2014 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 224-229, 2014
Work-in-progress: a fast online sequential learning accelerator for iot network intrusion detection
H Huang, RS Khalid, W Liu, H Yu
2017 International Conference on Hardware/Software Codesign and System …, 2017
On-line machine learning accelerator on digital RRAM-crossbar
L Ni, H Huang, H Yu
2016 IEEE International Symposium on Circuits and Systems (ISCAS), 113-116, 2016
Distributed machine learning on smart-gateway network towards real-time indoor data analytics
H Huang, RS Khalid, H Yu
Data Science and Big Data: An Environment of Computational Intelligence, 231-263, 2017
An energy-efficient 2.5 D through-silicon interposer I/O with self-adaptive adjustment of output-voltage swing
D Xu, SM PD, H Huang, N Yu, H Yu
Proceedings of the 2014 international symposium on Low power electronics and …, 2014
A compressive-sensing based testing vehicle for 3D TSV pre-bond and post-bond testing data
H Huang, H Yu, C Zhuo, F Ren
Proceedings of the 2016 on International Symposium on Physical Design, 19-25, 2016
Compact and Fast Machine Learning Accelerator for IoT Devices
H Huang, H Yu
Springer, 2019
An energy-efficient non-volatile in-memory accelerator for sparse-representation based face recognition
Y Wang, H Huang, L Ni, H Yu, M Yan, C Weng, W Yang, J Zhao
2015 Design, Automation & Test in Europe Conference & Exhibition (DATE), 932-935, 2015
Q-Learning-Based Voltage-Swing Tuning and Compensation for 2.5-D Memory-Logic Integration
D Xu, N Yu, H Huang, PDS Manoj, H Yu
IEEE Design & Test 35 (2), 91-99, 2017
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