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ORCIDDaniel Huang 0001
Person information
- affiliation: San Francisco State University, Language-Based Artificial Intelligence (LBAI) Lab, CA, USA
- affiliation (former): University of California, Berkeley, Department of Electrical Engineering and Computer Sciences, CA, USA
- affiliation (PhD): Harvard University, School of Engineering and Applied Sciences, Cambridge, MA, USA
- not to be confused with: Daniel C. Huang
Other persons with the same name
- Daniel Huang
- Daniel Huang 0002 — National Tsing Hua University, Taiwan
- Daniel Huang 0003 — SAIC, Arlington, VA, USA
- Daniel Huang 0004 — ZTE Corporation
- Daniel Zhengyu Huang
![[0000-0001-6072-9352]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-6072-9352")
(aka: Daniel Huang 0005) — California Institute of Technology, Pasadena, CA, USA - Daniel Huang 0007 — Tsinghua University, Department of Automation, BNRist, Beijing, China
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2020 – today
- 2023
[j1]E. Wes Bethel, Mercy G. Amankwah, Jan Balewski, Roel Van Beeumen, Daan Camps, Daniel Huang, Talita Perciano:
Quantum Computing and Visualization: A Disruptive Technological Change Ahead. IEEE Computer Graphics and Applications 43(6): 101-111 (2023)- [i8]Daniel Huang, Christian Camaño, Jonathan Tsegaye:
PusH: Concurrent Probabilistic Programming with Function Spaces. CoRR abs/2306.06528 (2023) - [i7]KaiChieh Lo, Daniel Huang:
On Training Derivative-Constrained Neural Networks. CoRR abs/2310.01649 (2023) - [i6]E. Wes Bethel, Mercy G. Amankwah, Jan Balewski, Roel Van Beeumen, Daan Camps, Daniel Huang, Talita Perciano:
Quantum Computing and Visualization: A Disruptive Technological Change Ahead. CoRR abs/2310.04937 (2023) - 2020
- [i5]Daniel Huang:
Elementary Logic in Linear Space. CoRR abs/2001.11186 (2020)
2010 – 2019
- 2019
- [c6]Daniel Huang, Prafulla Dhariwal, Dawn Song, Ilya Sutskever:
GamePad: A Learning Environment for Theorem Proving. ICLR (Poster) 2019 - [i4]Daniel Huang:
On Learning to Prove. CoRR abs/1904.11099 (2019) - 2018
- [i3]Daniel Huang, Prafulla Dhariwal, Dawn Song, Ilya Sutskever:
GamePad: A Learning Environment for Theorem Proving. CoRR abs/1806.00608 (2018) - [i2]Daniel Huang, Greg Morrisett, Bas Spitters:
An Application of Computable Distributions to the Semantics of Probabilistic Programs. CoRR abs/1806.07966 (2018) - 2017
- [c5]Daniel Huang, Jean-Baptiste Tristan, Greg Morrisett:
Compiling Markov chain Monte Carlo algorithms for probabilistic modeling. PLDI 2017: 111-125 - 2016
- [c4]Daniel Huang, Greg Morrisett:
An Application of Computable Distributions to the Semantics of Probabilistic Programming Languages. ESOP 2016: 337-363 - 2014
- [c3]Jean-Baptiste Tristan, Daniel Huang, Joseph Tassarotti, Adam Craig Pocock, Stephen J. Green, Guy L. Steele Jr.:
Augur: Data-Parallel Probabilistic Modeling. NIPS 2014: 2600-2608 - 2013
- [c2]Daniel Huang, Greg Morrisett:
Formalizing the SAFECode Type System. CPP 2013: 211-226 - [i1]Jean-Baptiste Tristan, Daniel Huang, Joseph Tassarotti, Adam Craig Pocock, Stephen J. Green, Guy L. Steele Jr.:
Augur: a Modeling Language for Data-Parallel Probabilistic Inference. CoRR abs/1312.3613 (2013) - 2011
- [c1]Amelio Vázquez Reina, Michael Gelbart, Daniel Huang, Jeff Lichtman, Eric L. Miller, Hanspeter Pfister:
Segmentation fusion for connectomics. ICCV 2011: 177-184
Coauthor Index
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