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James Zou
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
- James Zou 0001 (aka: James Y. Zou) — Stanford University, Department of Electrical Engineering, CA, USA (and 1 more)
- James Zou 0002 — Microsoft Research, One Memorial Dr, Cambridge, MA, USA
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2020 – today
- 2024
- [j3]Rohaid Ali, Ian D. Connolly, Oliver Y. Tang, Fatima N. Mirza, Benjamin Johnston, Hael F. Abdulrazeq, Paul F. Galamaga, Tiffany J. Libby, Neel R. Sodha, Michael W. Groff, Ziya L. Gokaslan, Albert E. Telfeian, John H. Shin, Wael F. Asaad, James Zou, Curtis E. Doberstein:
Bridging the literacy gap for surgical consents: an AI-human expert collaborative approach. npj Digit. Medicine 7(1) (2024) - [j2]Rohaid Ali, Ian D. Connolly, Oliver Y. Tang, Fatima N. Mirza, Benjamin Johnston, Hael F. Abdulrazeq, Rachel K. Lim, Paul F. Galamaga, Tiffany J. Libby, Neel R. Sodha, Michael W. Groff, Ziya L. Gokaslan, Albert E. Telfeian, John H. Shin, Wael F. Asaad, James Zou, Curtis E. Doberstein:
Author Correction: Bridging the literacy gap for surgical consents: an AI-human expert collaborative approach. npj Digit. Medicine 7(1) (2024) - [j1]Karanpartap Singh, James Zou:
New Evaluation Metrics Capture Quality Degradation due to LLM Watermarking. Trans. Mach. Learn. Res. 2024 (2024) - [i20]Lizhen Liang, Han Zhuang, James Zou, Daniel E. Acuna:
The complementary contributions of academia and industry to AI research. CoRR abs/2401.10268 (2024) - [i19]Haowei Lin, Baizhou Huang, Haotian Ye, Qinyu Chen, Zihao Wang, Sujian Li, Jianzhu Ma, Xiaojun Wan, James Zou, Yitao Liang:
Selecting Large Language Model to Fine-tune via Rectified Scaling Law. CoRR abs/2402.02314 (2024) - [i18]Yuchi Liu, Lei Wang, Yuli Zou, James Zou, Liang Zheng:
Optimizing Calibration by Gaining Aware of Prediction Correctness. CoRR abs/2404.13016 (2024) - [i17]Valeriia Cherepanova, James Zou:
Talking Nonsense: Probing Large Language Models' Understanding of Adversarial Gibberish Inputs. CoRR abs/2404.17120 (2024) - [i16]Rahul Thapa, Bryan He, Magnus Ruud Kjær, Hyatt E. Moore IV, Gauri Ganjoo, Emmanuel Mignot, James Zou:
SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals. CoRR abs/2405.17766 (2024) - [i15]Yihe Deng, Pan Lu, Fan Yin, Ziniu Hu, Sheng Shen, James Zou, Kai-Wei Chang, Wei Wang:
Enhancing Large Vision Language Models with Self-Training on Image Comprehension. CoRR abs/2405.19716 (2024) - [i14]Kezhen Chen, Rahul Thapa, Rahul Chalamala, Ben Athiwaratkun, Shuaiwen Leon Song, James Zou:
Dragonfly: Multi-Resolution Zoom Supercharges Large Visual-Language Model. CoRR abs/2406.00977 (2024) - [i13]Junlin Wang, Jue Wang, Ben Athiwaratkun, Ce Zhang, James Zou:
Mixture-of-Agents Enhances Large Language Model Capabilities. CoRR abs/2406.04692 (2024) - [i12]Sheng Liu, Oscar Pastor-Serrano, Yizheng Chen, Matthew Gopaulchan, Weixing Liang, Mark Buyyounouski, Erqi Pollom, Quynh-Thu Le, Michael Gensheimer, Peng Dong, Yong Yang, James Zou, Lei Xing:
Automated radiotherapy treatment planning guided by GPT-4Vision. CoRR abs/2406.15609 (2024) - 2023
- [i11]Yiqun Chen, James Zou:
TWIGMA: A dataset of AI-Generated Images with Metadata From Twitter. CoRR abs/2306.08310 (2023) - [i10]Sheng Liu, Lei Xing, James Zou:
In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering. CoRR abs/2311.06668 (2023) - [i9]Karanpartap Singh, James Zou:
New Evaluation Metrics Capture Quality Degradation due to LLM Watermarking. CoRR abs/2312.02382 (2023) - 2022
- [c5]Prashnna K. Gyawali, Xiaoxia Liu, James Zou, Zihuai He:
Ensembling improves stability and power of feature selection for deep learning models. MLCB 2022: 33-45 - [i8]Prashnna K. Gyawali, Yann Le Guen, Xiaoxia Liu, Hua Tang, James Zou, Zihuai He:
Improving genetic risk prediction across diverse population by disentangling ancestry representations. CoRR abs/2205.04673 (2022) - [i7]Prashnna K. Gyawali, Xiaoxia Liu, James Zou, Zihuai He:
Ensembling improves stability and power of feature selection for deep learning models. CoRR abs/2210.00604 (2022) - 2021
- [i6]Bryan He, Matthew Thomson, Meena Subramaniam, Richard Perez, Chun Jimmie Ye, James Zou:
CloudPred: Predicting Patient Phenotypes From Single-cell RNA-seq. CoRR abs/2110.07069 (2021) - 2020
- [c4]Austin Van Loon, Sheridan Stewart, Brandon Waldon, Shrinidhi K. Lakshmikanth, Ishan Shah, Sharath Chandra Guntuku, Garrick Sherman, James Zou, Johannes C. Eichstaedt:
Explaining the Trump Gap in Social Distancing Using COVID Discourse. NLP4COVID@EMNLP 2020
2010 – 2019
- 2019
- [i5]Maulik R. Kamdar, Tymor Hamamsy, Shea Shelton, Ayin Vala, Tome Eftimov, James Zou, Suzanne Tamang:
A Knowledge Graph-based Approach for Exploring the U.S. Opioid Epidemic. CoRR abs/1905.11513 (2019) - 2018
- [c3]Kevin Tian, Teng Zhang, James Zou:
CoVeR: Learning Covariate-Specific Vector Representations with Tensor Decompositions. ICML 2018: 4933-4942 - [i4]Kevin Tian, Teng Zhang, James Zou:
CoVeR: Learning Covariate-Specific Vector Representations with Tensor Decompositions. CoRR abs/1802.07839 (2018) - [i3]Bryan He, James Zou:
Minimizing Close-k Aggregate Loss Improves Classification. CoRR abs/1811.00521 (2018) - 2017
- [c2]Jonathan Huggins, James Zou:
Quantifying the accuracy of approximate diffusions and Markov chains. AISTATS 2017: 382-391 - 2016
- [c1]Daniel Russo, James Zou:
Controlling Bias in Adaptive Data Analysis Using Information Theory. AISTATS 2016: 1232-1240 - [i2]S. Matthew Weinberg, James Zou:
Signal to noise in matching markets. CoRR abs/1612.09006 (2016) - 2015
- [i1]Daniel Russo, James Zou:
Controlling Bias in Adaptive Data Analysis Using Information Theory. CoRR abs/1511.05219 (2015)
Coauthor Index
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last updated on 2024-08-20 20:31 CEST by the dblp team
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