Eric Wang

69 papers A* 5A 2B 6C 2Misc 4Journal 36Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Implementation of Forest-Based Predictive and Causal Machine Learning Techniques for Identifying the most Important Predictors of Mortality and Estimating Radiotherapy Treatment Effects in Breast Cancer Patients.
KSII Trans. Internet Inf. Syst.
HeeJeong Jasmine Lee, Igor Shuryak, Eric Wang, Kang-Yoon Lee
2026 J jnl
MuSEAgent: A Multimodal Reasoning Agent with Stateful Experiences.
CoRR
Shijian Wang, Jiarui Jin, Runhao Fu, Zexuan Yan, Xingjian Wang, Mengkang Hu, Eric Wang, Xiaoxi Li, Kangning Zhang, Li Yao, Wenxiang Jiao, Xuelian Cheng, Yuan Lu, Zongyuan Ge
2026 J jnl
PAVE: Premise-Aware Validation and Editing for Retrieval-Augmented LLMs.
CoRR
Tianyi Huang, Caden Yang, Emily Yin, Eric Wang, Michael Zhang
2026 J jnl
TensorCommitments: A Lightweight Verifiable Inference for Language Models.
CoRR
Oguzhan Baser, Elahe Sadeghi, Eric Wang, David Ribeiro Alves, Sam Kazemian, Hong Kang, Sandeep P. Chinchali, Sriram Vishwanath
2025 B conf
Algebra Is Half the Battle: Verifying Presentations of Graded Unipotent Chevalley Groups.
ITP
Eric Wang, Arohee Bhoja, Cayden R. Codel, Noah G. Singer
2025 J jnl
CAST: Time-Varying Treatment Effects with Application to Chemotherapy and Radiotherapy on Head and Neck Squamous Cell Carcinoma.
CoRR
Everest Yang, Ria Vasishtha, Luqman K. Dad, Lisa A. Kachnic, Andrew Hope, Eric Wang, Xiao Wu, Yading Yuan, David J. Brenner, Igor Shuryak
2025 B conf
Emotion influences behavioral outcomes and attention during goal-directed reading.
CogSci
Eric Wang, Yueyuan Zheng, Janet H. Hsiao, Urs Maurer
2025 — conf
Enough Coin Flips Can Make LLMs Act Bayesian.
ACL (1)
Ritwik Gupta, Rodolfo Corona, Jiaxin Ge, Eric Wang, Dan Klein, Trevor Darrell, David M. Chan
2025 J jnl
Enough Coin Flips Can Make LLMs Act Bayesian.
CoRR
Ritwik Gupta, Rodolfo Corona, Jiaxin Ge, Eric Wang, Dan Klein, Trevor Darrell, David M. Chan
2025 J jnl
MSM-BD: Multimodal Social Media Bot Detection Using Heterogeneous Information.
CoRR
Tingxuan Wu, Zhaorui Ma, Yanjun Cui, Ziyi Zhou, Eric Wang
2025 J jnl
Mercury: Ultra-Fast Language Models Based on Diffusion.
CoRR
Samar Khanna, Siddhant Kharbanda, Shufan Li, Harshit Varma, Eric Wang, Sawyer Birnbaum, Ziyang Luo, Yanis Miraoui, Akash Palrecha, Stefano Ermon, Aditya Grover, Volodymyr Kuleshov
2025 J jnl
Multi-Agent Path Finding Among Dynamic Uncontrollable Agents with Statistical Safety Guarantees.
CoRR
Kegan J. Strawn, Thomy Phan, Eric Wang, Nora Ayanian, Sven Koenig, Lars Lindemann
2025 J jnl
TxGemma: Efficient and Agentic LLMs for Therapeutics.
CoRR
Eric Wang, Samuel Schmidgall, Paul F. Jaeger, Fan Zhang, Rory Pilgrim, Yossi Matias, Joelle K. Barral, David J. Fleet, Shekoofeh Azizi
2025 A conf
Unfolding Boxes with Local Constraints.
CADE
Long Qian, Eric Wang, Bernardo Subercaseaux, Marijn J. H. Heule
2025 J jnl
Unfolding Boxes with Local Constraints.
CoRR
Long Qian, Eric Wang, Bernardo Subercaseaux, Marijn J. H. Heule
2024 J jnl
Advancing Multimodal Medical Capabilities of Gemini.
CoRR
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
2024 J jnl
Compiling Probabilistic Programs for Variable Elimination with Information Flow.
Proc. ACM Program. Lang.
Jianlin Li, Eric Wang, Yizhou Zhang
2024 C conf
Exploring Arterial and Venous Oxygenation Separation with Multichannel PPG
BSN
Eric Wang, Philip Tan, G. Jack Son, Cristian Colon, Eric Snider, Nanshu Lu
2024 J jnl
Security and Privacy Product Inclusion.
CoRR
Dave Kleidermacher, Emmanuel Arriaga, Eric Wang, Sebastian Porst, Roger Piqueras Jover
2024 J jnl
Semantic Loss Functions for Neuro-Symbolic Structured Prediction.
CoRR
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
2024 J jnl
Speeding up and reducing memory usage for scientific machine learning via mixed precision.
CoRR
Joel Hayford, Jacob Goldman-Wetzler, Eric Wang, Lu Lu
2024 J jnl
Tx-LLM: A Large Language Model for Therapeutics.
CoRR
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
2023 — conf
A Micro-anatomical Model of the Infarcted Left Ventricle Border Zone to Study the Influence of Collagen Undulation.
FIMH
Emilio A. Mendiola, Eric Wang, Abby Leatherman, Qian Xiang, Sunder Neelakantan, Peter Vanderslice, Reza Avazmohammadi
2023 J jnl
Fuzzing Configurations of Program Options - RCR Report.
ACM Trans. Softw. Eng. Methodol.
Zenong Zhang, George Klees, Eric Wang, Michael Hicks, Shiyi Wei
2023 J jnl
Fuzzing Configurations of Program Options.
ACM Trans. Softw. Eng. Methodol.
Zenong Zhang, George Klees, Eric Wang, Michael Hicks, Shiyi Wei
2023 — conf
High Density Embedded 3D Stackable Via RRAM in Advanced MCU Applications.
VLSI Technology and Circuits
Yao-Hung Huang, Yu-Cheng Hsieh, Yu-Cheng Lin, Yue-Der Chih, Eric Wang, Jonathan Chang, Ya-Chin King, Chrong Jung Lin
2023 A* conf
MTIA: First Generation Silicon Targeting Meta's Recommendation Systems.
ISCA
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
2023 A* conf
Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve.
ICLR
Juhan Bae, Michael R. Zhang, Michael Ruan, Eric Wang, So Hasegawa, Jimmy Ba, Roger Baker Grosse
2023 — ch.
Semantic Loss Functions for Neuro-Symbolic Structured Prediction.
Compendium of Neurosymbolic Artificial Intelligence
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
2023 — conf
Towards Simultaneous Noninvasive Arterial and Venous Oxygenation Monitoring with Wearable E-Tattoo.
EMBC
Philip Tan, Eric Wang, Shreya Tamma, Sarnab Bhattacharya, Nanshu Lu
2022 J jnl
Design of immunogens for eliciting antibody responses that may protect against SARS-CoV-2 variants.
PLoS Comput. Biol.
Eric Wang, Arup K. Chakraborty
2022 J jnl
Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve.
CoRR
Juhan Bae, Michael R. Zhang, Michael Ruan, Eric Wang, So Hasegawa, Jimmy Ba, Roger B. Grosse
2022 J jnl
Neuro-Symbolic Entropy Regularization.
CoRR
Kareem Ahmed, Eric Wang, Kai-Wei Chang, Guy Van den Broeck
2022 A conf
Neuro-symbolic entropy regularization.
UAI
Kareem Ahmed, Eric Wang, Kai-Wei Chang, Guy Van den Broeck
2021 A* conf
Generalization in data-driven models of primary visual cortex.
ICLR
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
2021 J jnl
Leveraging Unlabeled Data for Entity-Relation Extraction through Probabilistic Constraint Satisfaction.
CoRR
Kareem Ahmed, Eric Wang, Guy Van den Broeck, Kai-Wei Chang
2021 A* conf
Probabilistic Sufficient Explanations.
IJCAI
Eric Wang, Pasha Khosravi, Guy Van den Broeck
2021 J jnl
Probabilistic Sufficient Explanations.
CoRR
Eric Wang, Pasha Khosravi, Guy Van den Broeck
2020 B conf
Analysis of Grading Times of Short Answer Questions.
L@S
Michael Yen, Sergey Karayev, Eric Wang
2019 — conf
Stochastic Optimization of Sorting Networks via Continuous Relaxations.
ICLR (Poster)
Aditya Grover, Eric Wang, Aaron Zweig, Stefano Ermon
2019 J jnl
Stochastic Optimization of Sorting Networks via Continuous Relaxations.
CoRR
Aditya Grover, Eric Wang, Aaron Zweig, Stefano Ermon
2018 J jnl
Repeated review based image captioning for image evidence review.
Signal Process. Image Commun.
Jinning Guan, Eric Wang
2017 — conf
Hardware module-based message authentication in intra-vehicle networks.
ICCPS
Eric Wang, William Xu, Suhas Sastry, Songsong Liu, Kai Zeng
2017 J jnl
Improved Lower Bounds for Kissing Numbers in Dimensions 25 through 31.
SIAM J. Discret. Math.
Kenz Kallal, Tomoka Kan, Eric Wang
2017 — conf
LittleTable: A Time-Series Database and Its Uses.
SIGMOD Conference
Sean C. Rhea, Eric Wang, Edmund Wong, Ethan Atkins, Nat Storer
2016 Misc conf
Generating a 3D Normative Infant Cranial Model.
ICCS
Binhang Yuan, Ronald N. Goldman, Eric Wang, Olushola Olorunnipa, David Khechoyan
2014 — conf
G.fast for FTTdp: Enabling gigabit copper access.
GLOBECOM Workshops
Dong Wei, Amir Fazlollahi, Guozhu Long, Eric Wang
2014 J jnl
Zero-Knowledge Blackbox Testing: where are the Faults?
Int. J. Found. Comput. Sci.
Eric Wang, Cewei Cui, Zhe Dang, Thomas R. Fischer, Linmin Yang
2014 J jnl
iNavigation: an image based indoor navigation system.
Multim. Tools Appl.
Eric Wang, Wei-Qi Yan
2013 Misc conf
Dynamic Bayesian activity modeling in video via multi-feature integration.
ICASSP
T. Scott Brandes, Eric Wang
2012 — conf
Inter-Firm Cooperatoin and IOS Deployments in Buyer-supplier Relationships: a Relational View.
ECIS
Ying-Kuang Lu, Eric Wang
2011 Misc conf
Joint dictionary learning and topic modeling for image clustering.
ICASSP
Lingbo Li, Mingyuan Zhou, Eric Wang, Lawrence Carin
2011 Misc conf
Time-evolving modeling of social networks.
ICASSP
Eric Wang, Jorge G. Silva, Rebecca Willett, Lawrence Carin
2010 J jnl
Hierarchical Bayesian Modeling of Topics in Time-Stamped Documents.
IEEE Trans. Pattern Anal. Mach. Intell.
Iulian Pruteanu-Malinici, Lu Ren, John W. Paisley, Eric Wang, Lawrence Carin
2010 — conf
Joint Analysis of Time-Evolving Binary Matrices and Associated Documents.
NIPS
Eric Wang, Dehong Liu, Jorge G. Silva, David B. Dunson, Lawrence Carin
2009 J jnl
ANN-based 3D part search with different levels of detail (LOD) in negative feature decomposition.
Expert Syst. Appl.
Chih-Hsing Chu, Han-Chung Cheng, Eric Wang, Yong Se Kim
2009 J jnl
GOBASE: an organelle genome database.
Nucleic Acids Res.
Emmet A. O'Brien, Yue Zhang, Eric Wang, Veronique Marie, Wole Badejoko, B. Franz Lang, Gertraud Burger
2008 A* conf
Hierarchical kernel stick-breaking process for multi-task image analysis.
ICML
Qi An, Chunping Wang, Ivo Shterev, Eric Wang, Lawrence Carin, David B. Dunson
2007 B conf
A Outliers Analysis of Learner's Data based on User Interface Behaviors.
ICALT
Yong Se Kim, Tae Bok Yoon, Hyun Jin Cha, Young Mo Jung, Eric Wang, Jee-Hyong Lee
2007 — conf
Form-Function Reasoning for Product Shape Ontology.
SWW 2.0
Eric Wang, Yong Se Kim
2007 J jnl
TBestDB: a taxonomically broad database of expressed sequence tags (ESTs).
Nucleic Acids Res.
Emmet A. O'Brien, Liisa B. Koski, Yue Zhang, Liusong Yang, Eric Wang, Michael W. Gray, Gertraud Burger, B. Franz Lang
2006 B conf
A Teaching Strategies Engine Using Translation from SWRL to Jess.
Intelligent Tutoring Systems
Eric Wang, Yong Se Kim
2006 J jnl
GOBASE - a database of organelle and bacterial genome information.
Nucleic Acids Res.
Emmet A. O'Brien, Yue Zhang, Liusong Yang, Eric Wang, Veronique Marie, B. Franz Lang, Gertraud Burger
2005 B conf
Intelligent Visual Reasoning Tutor.
ICALT
Eric Wang, Yong Se Kim
2005 — conf
Ontology Modeling and Storage System for Robot Context Understanding.
KES (3)
Eric Wang, Yong Se Kim, Hak Soo Kim, Jin Hyun Son, Sanghoon Lee, Il Hong Suh
2005 C conf
Teaching Strategies Ontology Using SWRL Rules.
ICCE
Eric Wang, Leila Kashani, Yong Se Kim
2004 — conf
Understanding Organizational Change and Misfits of Enterprise Resource Planning System: A Stage View of Context, Content, and Process Analysis.
PACIS
Hsiao-Lan Wie, Eric Wang
2002 J jnl
Recognition of machining features for cast then machined parts.
Comput. Aided Des.
Yong Se Kim, Eric Wang
1998 J jnl
Form feature recognition using convex decomposition: results presented at the 1997 ASME CIE Feature Panel Session.
Comput. Aided Des.
Eric Wang, Yong Se Kim