Daniel Zhang

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 25

Top Topics

Language Learning

Feature Generation

Top Venues

Ad Hoc Networks

Publications

Emile Anand, Jan van den Brand, Mehrdad Ghadiri, Daniel Zhang
The Bit Complexity of Dynamic Algebraic Formulas and their Determinants. CoRR (2024)
Sayash Kapoor, Rishi Bommasani, Kevin Klyman, Shayne Longpre, Ashwin Ramaswami, Peter Cihon, Aspen 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 (2024)
Daniel Zhang, Zifeng Yang
Deep learning-based optical flow analysis of two-dimensional Rayleigh scattering imaging of high-speed flows. J. Vis. 27 (3) (2024)
Daniel Zhang
Development of a Neural Network-based Method for Improved Imputation of Missing Values in Time Series Data by Repurposing DataWig. CoRR (2023)
Megan Charity, Yash Bhartia, Daniel Zhang, Ahmed Khalifa, Julian Togelius
A Preliminary Study on a Conceptual Game Feature Generation and Recommendation System. CoRR (2023)
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)
Jan van den Brand, Daniel Zhang
Faster High Accuracy Multi-Commodity Flow from Single-Commodity Techniques. CoRR (2023)
Ali Abbasi, Chayne Thrash, Elaheh Akbari, Daniel Zhang, Soheil Kolouri
CovarNav: Machine Unlearning via Model Inversion and Covariance Navigation. CoRR (2023)
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)
Rishi Bommasani, Kevin Klyman, Shayne Longpre, Sayash Kapoor, Nestor Maslej, Betty Xiong, Daniel Zhang, Percy Liang
The Foundation Model Transparency Index. CoRR (2023)
Zain Shamsi, Daniel Zhang, Daehyun Kyoung, Alex Liu
Measuring and Clustering Network Attackers using Medium-Interaction Honeypots. EuroS&P Workshops (2022)
Daniel Zhang, Ashwinkumar Ganesan, Sarah Campbell, Daniel Korzekwa
L2-GEN: A Neural Phoneme Paraphrasing Approach to L2 Speech Synthesis for Mispronunciation Diagnosis. INTERSPEECH (2022)
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 (2022)
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)
Ziyi Kou, Yang Zhang, Daniel Zhang, Dong Wang
CrowdGraph: A Crowdsourcing Multi-modal Knowledge Graph Approach to Explainable Fauxtography Detection. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
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 (2022)
Zain Shamsi, Daniel Zhang, Daehyun Kyoung, Alex Liu
Measuring and Clustering Network Attackers using Medium-Interaction Honeypots. CoRR (2022)
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 (2021)
Yang Zhang, Daniel Zhang, Dong Wang
On migratable traffic risk estimation in urban sensing: A social sensing based deep transfer network approach. Ad Hoc Networks 111 (2021)
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)
Yang Zhang, Ruohan Zong, Jun Han, Daniel Zhang, Md. Tahmid Rashid, Dong Wang
TransRes: A Deep Transfer Learning Approach to Migratable Image Super-Resolution in Remote Urban Sensing. SECON (2020)
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)
Daniel Zhang, Colleen P. Bailey
Obstacle Avoidance and Navigation Utilizing Reinforcement Learning with Reward Shaping. CoRR (2020)
Ashkan Yousefpour, Caleb Fung, Tam Nguyen, David Hong, Daniel Zhang
Instant Accident Reporting and Crowdsensed Road Condition Analytics for Smart Cities. CoRR (2017)
Gabriel Culbertson, Erik Andersen, Walker M. White, Daniel Zhang, Malte F. Jung
Crystallize: An Immersive, Collaborative Game for Second Language Learning. CSCW (2016)
Min-Chun Tsai, Daniel Zhang, Zongwu Tang
Modeling Litho-Constrained Design Layout. DAC (2007)