Publications

Found 600 results
[ Type(Asc)] Year
Conference Paper
B Cline, S Mukhopadhyay, PJ Wright, H Li, V Viswanath, P Wesling, G Qu, and A Iranmanesh. "Welcome." In Isqed. 2016.
BT Cline, S Heinrich-Barna, PJ Wright, H Li, V Viswanath, S Hu, P Wesling, G Qu, S Ghosh, and AA Iranmanesh. "Welcome." In Proceedings International Symposium on Quality Electronic Design, Isqed. 2017.
C Liu, and H Li. "A weighted sensing scheme for ReRAM-based cross-point memory array." In Proceedings of Ieee Computer Society Annual Symposium on Vlsi, Isvlsi, 65-70. 2014.
M Mao, J Hu, Y Chen, and H Li. "VWS: A versatile warp scheduler for exploring diverse cache localities of GPGPU applications." In Proceedings Design Automation Conference. Vol. 2015-July. 2015.
H Li, CY Cher, TN Vijaykumar, and K Roy. "VSV: L2-miss-driven variable supply-voltage scaling for low power." In Proceedings of the Annual International Symposium on Microarchitecture, Micro, 19-28. Vol. 2003-January. 2003.
WF Wong, CK Kon, Y Chen, and H Li. "VOSCH: Voltage scaled cache hierarchies." In 2007 Ieee International Conference on Computer Design, Iccd 2007, 496-503. 2007.
B Liu, H Li, Y Chen, X Li, Q Wu, and T Huang. "Vortex: Variation-aware training for memristor X-bar." In Proceedings Design Automation Conference. Vol. 2015-July. 2015.
Z Qin, Z Xu, Q Dong, Y Chen, and X Chen. "VoCaM: Visualization oriented convolutional neural network acceleration on mobile system: Invited paper." In Ieee/Acm International Conference on Computer Aided Design, Digest of Technical Papers, Iccad, 835-840. Vol. 2017-November. 2017.
Z Sun, H Li, Y Chen, and X Wang. "Variation tolerant sensing scheme of spin-transfer torque memory for yield improvement." In Ieee/Acm International Conference on Computer Aided Design, Digest of Technical Papers, Iccad, 432-437. 2010.
Y Chen, H Li, J Li, and CK Koh. "Variable-latency adder (VL-adder): New arithmetic circuit design practice to overcome NBTI." In Proceedings of the International Symposium on Low Power Electronics and Design, 195-200. 2007.
Z Shao, Y Liu, Y Chen, and T Li. "Utilizing PCM for energy optimization in embedded systems." In Proceedings 2012 Ieee Computer Society Annual Symposium on Vlsi, Isvlsi 2012, 398-403. 2012.
M Inkawhich, N Inkawhich, E Davis, H Li, and Y Chen. "The Untapped Potential of Off-the-Shelf Convolutional Neural Networks." In Proceedings 2022 Ieee/Cvf Winter Conference on Applications of Computer Vision, Wacv 2022, 2907-2916. 2022.
X Bi, M Mao, D Wang, and H Li. "Unleashing the potential of MLC STT-RAM caches." In Ieee/Acm International Conference on Computer Aided Design, Digest of Technical Papers, Iccad, 429-436. 2013.
R Joshi, R Kanj, P Wang, and HH Li. "Universal Statistical Cure For Predicting Memory Loss (Invited Paper)." In 2012 Ieee/Acm International Conference on Computer Aided Design (Iccad), 236-239. 2011.
R Joshi, R Kanj, P Wang, and HH Li. "Universal statistical cure for predicting memory loss." In Ieee/Acm International Conference on Computer Aided Design, Digest of Technical Papers, Iccad, 236-239. 2011.
B Yan, C Liu, X Liu, Y Chen, and H Li. "Understanding the trade-offs of device, circuit and application in ReRAM-based neuromorphic computing systems." In Technical Digest International Electron Devices Meeting, Iedm, 11.4.1-11.4.4. 2018.
HP Cheng, W Wen, C Wu, S Li, H Li, and Y Chen. "Understanding the design of IBM neurosynaptic system and its tradeoffs: A user perspective." In Proceedings of the 2017 Design, Automation and Test in Europe, Date 2017, 139-144. 2017.
YC Chen, W Wang, W Zhang, and H Li. "uBRAM-based run-time reconfigurable FPGA and corresponding reconfiguration methodology." In Fpt 2012 2012 International Conference on Field Programmable Technology, 80-86. 2012.
Y Xu, Y Li, S Zhang, W Wen, B Wang, Y Qi, Y Chen, W Lin, and H Xiong. "TRP: Trained rank pruning for efficient deep neural networks." In Ijcai International Joint Conference on Artificial Intelligence, 977-983. Vol. 2021-January. 2020.
B Li, Y Wang, Y Weng, Y Chen, and H Yang. "Training itself: Mixed-signal training acceleration for memristor-based neural network." In Proceedings of the Asia and South Pacific Design Automation Conference, Asp Dac, 361-366. 2014.
Y Xu, Y Li, S Zhang, W Wen, B Wang, W Dai, Y Qi, Y Chen, W Lin, and H Xiong. "Trained Rank Pruning for Efficient Deep Neural Networks." In Proceedings 5th Workshop on Energy Efficient Machine Learning and Cognitive Computing, Emc2 Nips 2019, 14-17. 2019.
HP Cheng, P Yu, H Hu, S Zawad, F Yan, S Li, H Li, and Y Chen. "Towards decentralized deep learning with differential privacy." In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 130-145. Vol. 11513 LNCS. 2019.
J Pan, CC Chang, Z Xie, A Li, M Tang, T Zhang, J Hu, and Y Chen. "Towards Collaborative Intelligence: Routability Estimation based on Decentralized Private Data." In Proceedings Design Automation Conference, 961-966. 2022.
A Li, Y Duan, H Yang, Y Chen, and J Yang. "TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework for Deep Learning with Anonymized Intermediate Representations." In Proceedings of the Acm Sigkdd International Conference on Knowledge Discovery and Data Mining, 824-832. 2020.
K Gauen, R Dailey, YH Lu, E Park, W Liu, AC Berg, and Y Chen. "Three years of low-power image recognition challenge: Introduction to special session." In Proceedings of the 2018 Design, Automation and Test in Europe Conference and Exhibition, Date 2018, 700-703. Vol. 2018-January. 2018.

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