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Eric Wang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Other persons with the same name
- Eric Wang 0001 (aka: Gengkun Wang 0001) — James Cook University, College of Science and Engineering, Cairns, QLD, Australia (and 1 more)
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2020 – today
- 2024
- [j15]Jianlin Li, Eric Wang, Yizhou Zhang:
Compiling Probabilistic Programs for Variable Elimination with Information Flow. Proc. ACM Program. Lang. 8(PLDI): 1755-1780 (2024) - [c28]Eric Wang, Philip Tan, G. Jack Son, Cristian Colon, Eric Snider, Nanshu Lu:
Exploring Arterial and Venous Oxygenation Separation with Multichannel PPG*. BSN 2024: 1-4 - [i10]Joel Hayford, Jacob Goldman-Wetzler, Eric Wang, Lu Lu:
Speeding up and reducing memory usage for scientific machine learning via mixed precision. CoRR abs/2401.16645 (2024) - [i9]Dave Kleidermacher, Emmanuel Arriaga, Eric Wang, Sebastian Porst, Roger Piqueras Jover:
Security and Privacy Product Inclusion. CoRR abs/2404.13220 (2024) - [i8]Lin Yang, Shawn Xu, Andrew Sellergren, Timo Kohlberger, Yuchen Zhou, Ira Ktena, Atilla P. Kiraly, Faruk Ahmed, Farhad Hormozdiari, Tiam Jaroensri, Eric Wang, Ellery Wulczyn, Fayaz Jamil, Theo Guidroz, Chuck Lau, Siyuan Qiao, Yun Liu, Akshay Goel, Kendall Park, Arnav Agharwal, Nick George, Yang Wang, Ryutaro Tanno, David G. T. Barrett, Wei-Hung Weng, S. Sara Mahdavi, Khaled Saab, Tao Tu, Sreenivasa Raju Kalidindi, Mozziyar Etemadi, Jorge Cuadros, Gregory Sorensen, Yossi Matias, Katherine Chou, Greg Corrado, Joelle K. Barral, Shravya Shetty, David J. Fleet, S. M. Ali Eslami, Daniel Tse, Shruthi Prabhakara, Cory Y. McLean, Dave Steiner, Rory Pilgrim, Christopher Kelly, Shekoofeh Azizi, Daniel Golden:
Advancing Multimodal Medical Capabilities of Gemini. CoRR abs/2405.03162 (2024) - [i7]Kareem Ahmed, Stefano Teso, Paolo Morettin, Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi, Yitao Liang, Eric Wang, Kai-Wei Chang, Andrea Passerini, Guy Van den Broeck:
Semantic Loss Functions for Neuro-Symbolic Structured Prediction. CoRR abs/2405.07387 (2024) - [i6]Juan Manuel Zambrano Chaves, Eric Wang, Tao Tu, Eeshit Dhaval Vaishnav, Byron Lee, S. Sara Mahdavi, Christopher Semturs, David J. Fleet, Vivek Natarajan, Shekoofeh Azizi:
Tx-LLM: A Large Language Model for Therapeutics. CoRR abs/2406.06316 (2024) - 2023
- [j14]Zenong Zhang, George Klees, Eric Wang, Michael Hicks, Shiyi Wei:
Fuzzing Configurations of Program Options. ACM Trans. Softw. Eng. Methodol. 32(2): 53:1-53:21 (2023) - [j13]Zenong Zhang, George Klees, Eric Wang, Michael Hicks, Shiyi Wei:
Fuzzing Configurations of Program Options - RCR Report. ACM Trans. Softw. Eng. Methodol. 32(2): 55:1-55:3 (2023) - [c27]Philip Tan, Eric Wang, Shreya Tamma, Sarnab Bhattacharya, Nanshu Lu:
Towards Simultaneous Noninvasive Arterial and Venous Oxygenation Monitoring with Wearable E-Tattoo. EMBC 2023: 1-4 - [c26]Emilio A. Mendiola, Eric Wang, Abby Leatherman, Qian Xiang, Sunder Neelakantan, Peter Vanderslice, Reza Avazmohammadi:
A Micro-anatomical Model of the Infarcted Left Ventricle Border Zone to Study the Influence of Collagen Undulation. FIMH 2023: 34-43 - [c25]Juhan Bae, Michael R. Zhang, Michael Ruan, Eric Wang, So Hasegawa, Jimmy Ba, Roger Baker Grosse:
Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve. ICLR 2023 - [c24]Amin Firoozshahian, Joel Coburn, Roman Levenstein, Rakesh Nattoji, Ashwin Kamath, Olívia Wu, Gurdeepak Grewal, Harish Aepala, Bhasker Jakka, Bob Dreyer, Adam Hutchin, Utku Diril, Krishnakumar Nair, Ehsan K. Ardestani, Martin Schatz, Yuchen Hao, Rakesh Komuravelli, Kunming Ho, Sameer Abu Asal, Joe Shajrawi, Kevin Quinn, Nagesh Sreedhara, Pankaj Kansal, Willie Wei, Dheepak Jayaraman, Linda Cheng, Pritam Chopda, Eric Wang, Ajay Bikumandla, Arun Karthik Sengottuvel, Krishna Thottempudi, Ashwin Narasimha, Brian Dodds, Cao Gao, Jiyuan Zhang, Mohammed Al-Sanabani, Ana Zehtabioskuie, Jordan Fix, Hangchen Yu, Richard Li, Kaustubh Gondkar, Jack Montgomery, Mike Tsai, Saritha Dwarakapuram, Sanjay Desai, Nili Avidan, Poorvaja Ramani, Karthik Narayanan, Ajit Mathews, Sethu Gopal, Maxim Naumov, Vijay Rao, Krishna Noru, Harikrishna Reddy, Prahlad Venkatapuram, Alexis Bjorlin:
MTIA: First Generation Silicon Targeting Meta's Recommendation Systems. ISCA 2023: 80:1-80:13 - [c23]Yao-Hung Huang, Yu-Cheng Hsieh, Yu-Cheng Lin, Yue-Der Chih, Eric Wang, Jonathan Chang, Ya-Chin King, Chrong Jung Lin:
High Density Embedded 3D Stackable Via RRAM in Advanced MCU Applications. VLSI Technology and Circuits 2023: 1-2 - [p1]Kareem Ahmed, Stefano Teso, Paolo Morettin, Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi, Yitao Liang, Eric Wang, Kai-Wei Chang, Andrea Passerini, Guy Van den Broeck:
Semantic Loss Functions for Neuro-Symbolic Structured Prediction. Compendium of Neurosymbolic Artificial Intelligence 2023: 485-505 - 2022
- [j12]Eric Wang, Arup K. Chakraborty:
Design of immunogens for eliciting antibody responses that may protect against SARS-CoV-2 variants. PLoS Comput. Biol. 18(9): 1010563 (2022) - [c22]Kareem Ahmed, Eric Wang, Kai-Wei Chang, Guy Van den Broeck:
Neuro-symbolic entropy regularization. UAI 2022: 43-53 - [i5]Kareem Ahmed, Eric Wang, Kai-Wei Chang, Guy Van den Broeck:
Neuro-Symbolic Entropy Regularization. CoRR abs/2201.11250 (2022) - [i4]Juhan Bae, Michael R. Zhang, Michael Ruan, Eric Wang, So Hasegawa, Jimmy Ba, Roger B. Grosse:
Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve. CoRR abs/2212.03905 (2022) - 2021
- [c21]Konstantin-Klemens Lurz, Mohammad Bashiri, Konstantin Willeke, Akshay Kumar Jagadish, Eric Wang, Edgar Y. Walker, Santiago A. Cadena, Taliah Muhammad, Erick Cobos, Andreas S. Tolias, Alexander S. Ecker, Fabian H. Sinz:
Generalization in data-driven models of primary visual cortex. ICLR 2021 - [c20]Eric Wang, Pasha Khosravi, Guy Van den Broeck:
Probabilistic Sufficient Explanations. IJCAI 2021: 3082-3088 - [i3]Kareem Ahmed, Eric Wang, Guy Van den Broeck, Kai-Wei Chang:
Leveraging Unlabeled Data for Entity-Relation Extraction through Probabilistic Constraint Satisfaction. CoRR abs/2103.11062 (2021) - [i2]Eric Wang, Pasha Khosravi, Guy Van den Broeck:
Probabilistic Sufficient Explanations. CoRR abs/2105.10118 (2021) - 2020
- [c19]Michael Yen, Sergey Karayev, Eric Wang:
Analysis of Grading Times of Short Answer Questions. L@S 2020: 365-368
2010 – 2019
- 2019
- [c18]Aditya Grover, Eric Wang, Aaron Zweig, Stefano Ermon:
Stochastic Optimization of Sorting Networks via Continuous Relaxations. ICLR (Poster) 2019 - [i1]Aditya Grover, Eric Wang, Aaron Zweig, Stefano Ermon:
Stochastic Optimization of Sorting Networks via Continuous Relaxations. CoRR abs/1903.08850 (2019) - 2018
- [j11]Jinning Guan, Eric Wang:
Repeated review based image captioning for image evidence review. Signal Process. Image Commun. 63: 141-148 (2018) - 2017
- [j10]Kenz Kallal, Tomoka Kan, Eric Wang:
Improved Lower Bounds for Kissing Numbers in Dimensions 25 through 31. SIAM J. Discret. Math. 31(3): 1895-1908 (2017) - [c17]Eric Wang, William Xu, Suhas Sastry, Songsong Liu, Kai Zeng:
Hardware module-based message authentication in intra-vehicle networks. ICCPS 2017: 207-216 - [c16]Sean Rhea, Eric Wang, Edmund Wong, Ethan Atkins, Nat Storer:
LittleTable: A Time-Series Database and Its Uses. SIGMOD Conference 2017: 125-138 - 2016
- [c15]Binhang Yuan, Ronald N. Goldman, Eric Wang, Olushola Olorunnipa, David Khechoyan:
Generating a 3D Normative Infant Cranial Model. ICCS 2016: 988-998 - 2014
- [j9]Eric Wang, Cewei Cui, Zhe Dang, Thomas R. Fischer, Linmin Yang:
Zero-Knowledge Blackbox Testing: where are the Faults? Int. J. Found. Comput. Sci. 25(2): 195-218 (2014) - [j8]Eric Wang, Wei-Qi Yan:
iNavigation: an image based indoor navigation system. Multim. Tools Appl. 73(3): 1597-1615 (2014) - [c14]Dong Wei, Amir Fazlollahi, Guozhu Long, Eric Wang:
G.fast for FTTdp: Enabling gigabit copper access. GLOBECOM Workshops 2014: 668-673 - 2013
- [c13]T. Scott Brandes, Eric Wang:
Dynamic Bayesian activity modeling in video via multi-feature integration. ICASSP 2013: 3193-3197 - 2012
- [c12]Ying-Kuang Lu, Eric Wang:
Inter-Firm Cooperatoin and IOS Deployments in Buyer-supplier Relationships: a Relational View. ECIS 2012: 45 - 2011
- [c11]Lingbo Li, Mingyuan Zhou, Eric Wang, Lawrence Carin:
Joint dictionary learning and topic modeling for image clustering. ICASSP 2011: 2168-2171 - [c10]Eric Wang, Jorge G. Silva, Rebecca Willett, Lawrence Carin:
Time-evolving modeling of social networks. ICASSP 2011: 2184-2187 - 2010
- [j7]Iulian Pruteanu-Malinici, Lu Ren, John W. Paisley, Eric Wang, Lawrence Carin:
Hierarchical Bayesian Modeling of Topics in Time-Stamped Documents. IEEE Trans. Pattern Anal. Mach. Intell. 32(6): 996-1011 (2010) - [c9]Eric Wang, Dehong Liu, Jorge G. Silva, David B. Dunson, Lawrence Carin:
Joint Analysis of Time-Evolving Binary Matrices and Associated Documents. NIPS 2010: 2370-2378
2000 – 2009
- 2009
- [j6]Chih-Hsing Chu, Han-Chung Cheng, Eric Wang, Yong Se Kim:
ANN-based 3D part search with different levels of detail (LOD) in negative feature decomposition. Expert Syst. Appl. 36(8): 10905-10913 (2009) - [j5]Emmet A. O'Brien, Yue Zhang, Eric Wang, Veronique Marie, Wole Badejoko, B. Franz Lang, Gertraud Burger:
GOBASE: an organelle genome database. Nucleic Acids Res. 37(Database-Issue): 946-950 (2009) - 2008
- [c8]Qi An, Chunping Wang, Ivo Shterev, Eric Wang, Lawrence Carin, David B. Dunson:
Hierarchical kernel stick-breaking process for multi-task image analysis. ICML 2008: 17-24 - 2007
- [j4]Emmet A. O'Brien, Liisa B. Koski, Yue Zhang, LiuSong Yang, Eric Wang, Michael W. Gray, Gertraud Burger, B. Franz Lang:
TBestDB: a taxonomically broad database of expressed sequence tags (ESTs). Nucleic Acids Res. 35(Database-Issue): 445-451 (2007) - [c7]Yong Se Kim, Tae Bok Yoon, Hyun Jin Cha, Young Mo Jung, Eric Wang, Jee-Hyong Lee:
A Outliers Analysis of Learner's Data based on User Interface Behaviors. ICALT 2007: 935-936 - [c6]Eric Wang, Yong Se Kim:
Form-Function Reasoning for Product Shape Ontology. SWW 2.0 2007 - 2006
- [j3]Emmet A. O'Brien, Yue Zhang, LiuSong Yang, Eric Wang, Veronique Marie, B. Franz Lang, Gertraud Burger:
GOBASE - a database of organelle and bacterial genome information. Nucleic Acids Res. 34(Database-Issue): 697-699 (2006) - [c5]Eric Wang, Yong Se Kim:
A Teaching Strategies Engine Using Translation from SWRL to Jess. Intelligent Tutoring Systems 2006: 51-60 - 2005
- [c4]Eric Wang, Yong Se Kim:
Intelligent Visual Reasoning Tutor. ICALT 2005: 511-515 - [c3]Eric Wang, Leila Kashani, Yong Se Kim:
Teaching Strategies Ontology Using SWRL Rules. ICCE 2005: 532-539 - [c2]Eric Wang, Yong Se Kim, Hak Soo Kim, Jin Hyun Son, Sanghoon Lee, Il Hong Suh:
Ontology Modeling and Storage System for Robot Context Understanding. KES (3) 2005: 922-929 - 2004
- [c1]Hsiao-Lan Wie, Eric Wang:
Understanding Organizational Change and Misfits of Enterprise Resource Planning System: A Stage View of Context, Content, and Process Analysis. PACIS 2004: 134 - 2002
- [j2]Yong Se Kim, Eric Wang:
Recognition of machining features for cast then machined parts. Comput. Aided Des. 34(1): 71-87 (2002)
1990 – 1999
- 1998
- [j1]Eric Wang, Yong Se Kim:
Form feature recognition using convex decomposition: results presented at the 1997 ASME CIE Feature Panel Session. Comput. Aided Des. 30(13): 983-989 (1998)
Coauthor Index
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