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Pai-Shun Ting
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2010 – 2019
- 2019
- [b1]Pai-Shun Ting:
Design of Sequential Stochastic Computing Systems. University of Michigan, USA, 2019 - [j3]Pai-Shun Ting, John P. Hayes:
Removing constant-induced errors in stochastic circuits. IET Comput. Digit. Tech. 13(3): 187-197 (2019) - [j2]Pin-Yu Chen
, Chun-Chen Tu, Pai-Shun Ting
, Ya-Yun Lo, Danai Koutra, Alfred O. Hero III:
Identifying Influential Links for Event Propagation on Twitter: A Network of Networks Approach. IEEE Trans. Signal Inf. Process. over Networks 5(1): 139-151 (2019) - [c13]Chun-Chen Tu, Pai-Shun Ting, Pin-Yu Chen, Sijia Liu, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Shin-Ming Cheng:
AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks. AAAI 2019: 742-749 - [c12]Pai-Shun Ting, John P. Hayes:
Exploiting Randomness in Stochastic Computing. ICCAD 2019: 1-6 - 2018
- [c11]Pai-Shun Ting, John P. Hayes:
Maxflow: Minimizing Latency in Hybrid Stochastic-Binary Systems. ACM Great Lakes Symposium on VLSI 2018: 21-26 - [c10]Amit Dhurandhar, Pin-Yu Chen, Ronny Luss, Chun-Chen Tu, Pai-Shun Ting, Karthikeyan Shanmugam
, Payel Das:
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives. NeurIPS 2018: 590-601 - [c9]Sijia Liu, Bhavya Kailkhura, Pin-Yu Chen, Pai-Shun Ting, Shiyu Chang, Lisa Amini:
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization. NeurIPS 2018: 3731-3741 - [i7]Amit Dhurandhar, Pin-Yu Chen, Ronny Luss, Chun-Chen Tu, Pai-Shun Ting, Karthikeyan Shanmugam, Payel Das:
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives. CoRR abs/1802.07623 (2018) - [i6]Sijia Liu, Bhavya Kailkhura, Pin-Yu Chen, Pai-Shun Ting, Shiyu Chang, Lisa Amini:
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization. CoRR abs/1805.10367 (2018) - [i5]Chun-Chen Tu, Pai-Shun Ting, Pin-Yu Chen, Sijia Liu, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Shin-Ming Cheng:
AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks. CoRR abs/1805.11770 (2018) - 2017
- [c8]Pai-Shun Ting, Chun-Chen Tu, Pin-Yu Chen, Ya-Yun Lo, Shin-Ming Cheng:
FEAST: An Automated Feature Selection Framework for Compilation Tasks. AINA 2017: 1138-1145 - [c7]Pai-Shun Ting, John P. Hayes:
Eliminating a hidden error source in stochastic circuits. DFT 2017: 1-6 - [c6]Te-Hsuan Chen, Pai-Shun Ting, John P. Hayes:
Achieving progressive precision in stochastic computing. GlobalSIP 2017: 1320-1324 - [c5]Pai-Shun Ting, John P. Hayes:
On the Role of Sequential Circuits in Stochastic Computing. ACM Great Lakes Symposium on VLSI 2017: 475-478 - 2016
- [c4]Pai-Shun Ting, John P. Hayes:
Isolation-based decorrelation of stochastic circuits. ICCD 2016: 88-95 - [i4]Pin-Yu Chen, Chun-Chen Tu, Pai-Shun Ting, Ya-Yun Lo, Danai Koutra, Alfred O. Hero III:
Identifying Influential Links for Event Propagation on Twitter: A Network of Networks Approach. CoRR abs/1609.05378 (2016) - [i3]Pai-Shun Ting, Chun-Chen Tu, Pin-Yu Chen, Ya-Yun Lo, Shin-Ming Cheng:
FEAST: An Automated Feature Selection Framework for Compilation Tasks. CoRR abs/1610.09543 (2016) - 2015
- [j1]Pin-Yu Chen, Shin-Ming Cheng, Pai-Shun Ting, Chia-Wei Lien, Fu-Jen Chu:
When crowdsourcing meets mobile sensing: a social network perspective. IEEE Commun. Mag. 53(10): 157-163 (2015) - [c3]Pin-Yu Chen, Chia-Wei Lien, Fu-Jen Chu, Pai-Shun Ting, Shin-Ming Cheng:
Supervised Collective Classification for Crowdsourcing. GLOBECOM Workshops 2015: 1-6 - [i2]Pin-Yu Chen, Chia-Wei Lien, Fu-Jen Chu, Pai-Shun Ting, Shin-Ming Cheng:
Supervised Collective Classification for Crowdsourcing. CoRR abs/1507.06682 (2015) - [i1]Pin-Yu Chen, Shin-Ming Cheng, Pai-Shun Ting, Chia-Wei Lien, Fu-Jen Chu:
When Crowdsourcing Meets Mobile Sensing: A Social Network Perspective. CoRR abs/1508.00299 (2015) - 2014
- [c2]Pai-Shun Ting, John Patrick Hayes:
Stochastic Logic Realization of Matrix Operations. DSD 2014: 356-364 - 2012
- [c1]Yu-Jung Chen, Pai-Shun Ting, Meng-Lin Yu, Chia-Ming Chang, Shao-Yi Chien
:
TCU: Thread compaction unit for GPGPU applications on mobile graphics hardware. MMSP 2012: 146-151
Coauthor Index
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