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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.
Person information
Other persons with the same name
- Daniel Yue Zhang
![[0000-0002-0667-5397]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-0667-5397")
(aka: Daniel Zhang 0001) — University of Notre Dame, IN, USA
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2020 – today
- 2024
[j1]Daniel Zhang, Zifeng Yang:
Deep learning-based optical flow analysis of two-dimensional Rayleigh scattering imaging of high-speed flows. J. Vis. 27(3): 323-331 (2024)- [c10]Sayash Kapoor, Rishi Bommasani, Kevin Klyman, Shayne Longpre, Ashwin Ramaswami, Peter Cihon, Aspen K. Hopkins, Kevin Bankston, Stella Biderman, Miranda Bogen, Rumman Chowdhury, Alex Engler, Peter Henderson, Yacine Jernite, Seth Lazar, Stefano Maffulli, Alondra Nelson, Joelle Pineau, Aviya Skowron, Dawn Song, Victor Storchan, Daniel Zhang, Daniel E. Ho, Percy Liang, Arvind Narayanan:
Position: On the Societal Impact of Open Foundation Models. ICML 2024 - [i11]Sayash Kapoor, Rishi Bommasani, Kevin Klyman, Shayne Longpre, Ashwin Ramaswami, Peter Cihon, Aspen K. Hopkins, Kevin Bankston, Stella Biderman, Miranda Bogen, Rumman Chowdhury, Alex Engler, Peter Henderson, Yacine Jernite, Seth Lazar, Stefano Maffulli, Alondra Nelson, Joelle Pineau, Aviya Skowron, Dawn Song, Victor Storchan, Daniel Zhang, Daniel E. Ho, Percy Liang, Arvind Narayanan:
On the Societal Impact of Open Foundation Models. CoRR abs/2403.07918 (2024) - 2023
- [c9]Fan Zuo, Jingqin Gao, Kaan Ozbay, Zilin Bian, Daniel Zhang:
Urban Work Zone Detection and Sizing: A Data-Centric Training and Topology-Based Inference Approach. ITSC 2023: 3235-3240 - [c8]Akshaya Vishnu Kudlu Shanbhogue, Ran Xue, Soumya Saha, Daniel Zhang, Ashwinkumar Ganesan:
Improving Low Resource Speech Translation with Data Augmentation and Ensemble Strategies. IWSLT@ACL 2023: 241-250 - [i10]Daniel Zhang:
Development of a Neural Network-based Method for Improved Imputation of Missing Values in Time Series Data by Repurposing DataWig. CoRR abs/2308.09635 (2023) - [i9]Megan Charity, Yash Bhartia, Daniel Zhang, Ahmed Khalifa, Julian Togelius:
A Preliminary Study on a Conceptual Game Feature Generation and Recommendation System. CoRR abs/2308.13538 (2023) - [i8]Rishi Bommasani, Kevin Klyman, Shayne Longpre, Sayash Kapoor, Nestor Maslej, Betty Xiong, Daniel Zhang, Percy Liang:
The Foundation Model Transparency Index. CoRR abs/2310.12941 (2023) - [i7]Ali Abbasi, Chayne Thrash, Elaheh Akbari, Daniel Zhang, Soheil Kolouri:
CovarNav: Machine Unlearning via Model Inversion and Covariance Navigation. CoRR abs/2311.12999 (2023) - 2022
- [c7]Zain Shamsi, Daniel Zhang, Daehyun Kyoung, Alex Liu:
Measuring and Clustering Network Attackers using Medium-Interaction Honeypots. EuroS&P Workshops 2022: 294-306 - [c6]Daniel Zhang, Ashwinkumar Ganesan, Sarah Campbell, Daniel Korzekwa:
L2-GEN: A Neural Phoneme Paraphrasing Approach to L2 Speech Synthesis for Mispronunciation Diagnosis. INTERSPEECH 2022: 4317-4321 - [c5]Daniel Zhang, Jiang Yu, Pragati Verma, Ashwinkumar Ganesan, Sarah Campbell:
Improving Machine Translation Formality Control with Weakly-Labelled Data Augmentation and Post Editing Strategies. IWSLT@ACL 2022: 351-360 - [i6]Daniel Zhang, Nestor Maslej, Erik Brynjolfsson, John Etchemendy, Terah Lyons, James Manyika, Helen Ngo, Juan Carlos Niebles, Michael Sellitto, Ellie Sakhaee, Yoav Shoham, Jack Clark, C. Raymond Perrault:
The AI Index 2022 Annual Report. CoRR abs/2205.03468 (2022) - [i5]Zain Shamsi, Daniel Zhang, Daehyun Kyoung, Alex Liu:
Measuring and Clustering Network Attackers using Medium-Interaction Honeypots. CoRR abs/2206.13614 (2022) - [i4]Daniel Zhang, Vikram Voleti, Alexander Wong, Jason Deglint:
Plankton-FL: Exploration of Federated Learning for Privacy-Preserving Training of Deep Neural Networks for Phytoplankton Classification. CoRR abs/2212.08990 (2022) - 2021
- [c4]Yisi Liu, Zirui Lan, Benedikt Tschoerner, Satinder Singh Virdi, Fan Li, Jian Cui, Olga Sourina, Daniel Zhang, Wolfgang Müller-Wittig:
VR-based Training on Handling LNG Related Emergency in the Maritime Industry. CW 2021: 159-165 - [i3]Daniel Zhang, Saurabh Mishra, Erik Brynjolfsson, John Etchemendy, Deep Ganguli, Barbara J. Grosz, Terah Lyons, James Manyika, Juan Carlos Niebles, Michael Sellitto, Yoav Shoham, Jack Clark, C. Raymond Perrault:
The AI Index 2021 Annual Report. CoRR abs/2103.06312 (2021) - 2020
- [c3]Yisi Liu, Zirui Lan, Benedikt Tschoerner, Satinder Singh Virdi, Jian Cui, Fan Li, Olga Sourina, Daniel Zhang, David Chai, Wolfgang Müller-Wittig:
Human Factors Assessment in VR-based Firefighting Training in Maritime: A Pilot Study. CW 2020: 157-163 - [i2]Daniel Zhang, Colleen P. Bailey:
Obstacle Avoidance and Navigation Utilizing Reinforcement Learning with Reward Shaping. CoRR abs/2003.12863 (2020)
2010 – 2019
- 2017
- [i1]Ashkan Yousefpour, Caleb Fung, Tam Nguyen, David Hong, Daniel Zhang:
Instant Accident Reporting and Crowdsensed Road Condition Analytics for Smart Cities. CoRR abs/1711.06710 (2017) - 2016
- [c2]Gabriel Culbertson, Erik Andersen, Walker M. White, Daniel Zhang, Malte F. Jung:
Crystallize: An Immersive, Collaborative Game for Second Language Learning. CSCW 2016: 635-646
2000 – 2009
- 2007
- [c1]Min-Chun Tsai, Daniel Zhang, Zongwu Tang:
Modeling Litho-Constrained Design Layout. DAC 2007: 354-357
Coauthor Index
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