Daniel Zhang

28 papers A* 2A 2C 2Journal 18Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
The Limits of AI Data Transparency Policy: Three Disclosure Fallacies.
CoRR
Judy Hanwen Shen, Ken Liu, Angelina Wang, Sarah H. Cen, Andy K. Zhang, Caroline Meinhardt, Daniel Zhang, Kevin Klyman, Rishi Bommasani, Daniel E. Ho
2025 J jnl
An MPC framework for efficient navigation of mobile robots in cluttered environments.
CoRR
Johannes Köhler, Daniel Zhang, Raffaele Soloperto, Andrea Carron, Melanie Nicole Zeilinger
2025 J jnl
RAGRank: Using PageRank to Counter Poisoning in CTI LLM Pipelines.
CoRR
Austin Jia, Avaneesh Ramesh, Zain Shamsi, Daniel Zhang, Alex Liu
2025 J jnl
Semantic Convergence: Investigating Shared Representations Across Scaled LLMs.
CoRR
Daniel Son, Sanjana Rathore, Andrew Rufail, Adrian Simon, Daniel Zhang, Soham Dave, Cole Blondin, Kevin Zhu, Sean O'Brien
2025 J jnl
The 2023 Foundation Model Transparency Index.
Trans. Mach. Learn. Res.
Rishi Bommasani, Kevin Klyman, Shayne Longpre, Sayash Kapoor, Nestor Maslej, Betty Xiong, Daniel Zhang, Percy Liang
2025 J jnl
The California Report on Frontier AI Policy.
CoRR
Rishi Bommasani, Scott R. Singer, Ruth E. Appel, Sarah H. Cen, A. Feder Cooper, Elena Cryst, Lindsey A. Gailmard, Ian Klaus, Meredith M. Lee, Inioluwa Deborah Raji, Anka Reuel, Drew Spence, Alexander Wan, Angelina Wang, Daniel Zhang, Daniel E. Ho, Percy Liang, Dawn Song, Joseph E. Gonzalez, Jonathan Zittrain, Jennifer Tour Chayes, Mariano-Florentino Cuellar, Li Fei-Fei
2024 J jnl
Deep learning-based optical flow analysis of two-dimensional Rayleigh scattering imaging of high-speed flows.
J. Vis.
Daniel Zhang, Zifeng Yang
2024 J jnl
On the Societal Impact of Open Foundation Models.
CoRR
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
2024 A* conf
Position: On the Societal Impact of Open Foundation Models.
ICML
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
2023 J jnl
A Preliminary Study on a Conceptual Game Feature Generation and Recommendation System.
CoRR
M Charity, Yash Bhartia, Daniel Zhang, Ahmed Khalifa, Julian Togelius
2023 J jnl
CovarNav: Machine Unlearning via Model Inversion and Covariance Navigation.
CoRR
Ali Abbasi, Chayne Thrash, Elaheh Akbari, Daniel Zhang, Soheil Kolouri
2023 J jnl
Development of a Neural Network-based Method for Improved Imputation of Missing Values in Time Series Data by Repurposing DataWig.
CoRR
Daniel Zhang
2023 — conf
Improving Low Resource Speech Translation with Data Augmentation and Ensemble Strategies.
IWSLT@ACL
Akshaya Vishnu Kudlu Shanbhogue, Ran Xue, Soumya Saha, Daniel Zhang, Ashwinkumar Ganesan
2023 J jnl
The Foundation Model Transparency Index.
CoRR
Rishi Bommasani, Kevin Klyman, Shayne Longpre, Sayash Kapoor, Nestor Maslej, Betty Xiong, Daniel Zhang, Percy Liang
2023 — conf
Urban Work Zone Detection and Sizing: A Data-Centric Training and Topology-Based Inference Approach.
ITSC
Fan Zuo, Jingqin Gao, Kaan Ozbay, Zilin Bian, Daniel Zhang
2022 — conf
Improving Machine Translation Formality Control with Weakly-Labelled Data Augmentation and Post Editing Strategies.
IWSLT@ACL
Daniel Zhang, Jiang Yu, Pragati Verma, Ashwinkumar Ganesan, Sarah Campbell
2022 A conf
L2-GEN: A Neural Phoneme Paraphrasing Approach to L2 Speech Synthesis for Mispronunciation Diagnosis.
INTERSPEECH
Daniel Zhang, Ashwinkumar Ganesan, Sarah Campbell, Daniel Korzekwa
2022 — conf
Measuring and Clustering Network Attackers using Medium-Interaction Honeypots.
EuroS&P Workshops
Zain Shamsi, Daniel Zhang, Daehyun Kyoung, Alex Liu
2022 J jnl
Measuring and Clustering Network Attackers using Medium-Interaction Honeypots.
CoRR
Zain Shamsi, Daniel Zhang, Daehyun Kyoung, Alex Liu
2022 J jnl
Plankton-FL: Exploration of Federated Learning for Privacy-Preserving Training of Deep Neural Networks for Phytoplankton Classification.
CoRR
Daniel Zhang, Vikram Voleti, Alexander Wong, Jason Deglint
2022 J jnl
The AI Index 2022 Annual Report.
CoRR
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
2021 J jnl
The AI Index 2021 Annual Report.
CoRR
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
2021 C conf
VR-based Training on Handling LNG Related Emergency in the Maritime Industry.
CW
Yisi Liu, Zirui Lan, Benedikt Tschoerner, Satinder Singh Virdi, Fan Li, Jian Cui, Olga Sourina, Daniel Zhang, Wolfgang Müller-Wittig
2020 C conf
Human Factors Assessment in VR-based Firefighting Training in Maritime: A Pilot Study.
CW
Yisi Liu, Zirui Lan, Benedikt Tschoerner, Satinder Singh Virdi, Jian Cui, Fan Li, Olga Sourina, Daniel Zhang, David Chai, Wolfgang Müller-Wittig
2020 J jnl
Obstacle Avoidance and Navigation Utilizing Reinforcement Learning with Reward Shaping.
CoRR
Daniel Zhang, Colleen P. Bailey
2017 J jnl
Instant Accident Reporting and Crowdsensed Road Condition Analytics for Smart Cities.
CoRR
Ashkan Yousefpour, Caleb Fung, Tam Nguyen, David Hong, Daniel Zhang
2016 A conf
Crystallize: An Immersive, Collaborative Game for Second Language Learning.
CSCW
Gabriel Culbertson, Erik Andersen, Walker M. White, Daniel Zhang, Malte F. Jung
2007 A* conf
Modeling Litho-Constrained Design Layout.
DAC
Min-Chun Tsai, Daniel Zhang, Zongwu Tang