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ORCIDXuechen Zhang 0002
Person information
- affiliation: University of California Riverside, CA, USA
Other persons with the same name
- Xuechen Zhang 0001
![[0000-0002-3730-8901]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-3730-8901")
— Washington State University, Vancouver, WA, USA (and 3 more) - Xuechen Zhang 0003 — Hong Kong University of Science and Technology, Hong Kong (and 1 more)
- Xuechen Zhang 0004 — Tianjin University, School of Electrical and Information Engineering, China
- Xuechen Zhang 0005 — Ocean University of China, School of Mathematical Science, Qingdao, China
- Xuechen Zhang 0006 — Anhui Agricultural University, College of Engineering, Hefei, China
- Xuechen Zhang 0007 — University of Michigan, Ann Arbor, MI, USA
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2020 – today
- 2024
[c6]Karthik Elamvazhuthi, Xuechen Zhang, Matthew Jacobs, Samet Oymak, Fabio Pasqualetti:
A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions. AAAI 2024: 11866-11873- [c5]Xuechen Zhang, Mingchen Li, Jiasi Chen, Christos Thrampoulidis, Samet Oymak:
Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective. AAAI 2024: 16890-16898 - [i7]Xuechen Zhang, Mingchen Li, Jiasi Chen, Christos Thrampoulidis, Samet Oymak:
Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective. CoRR abs/2401.14343 (2024) - [i6]Xuechen Zhang, Zijian Huang, Ege Onur Taga, Carlee Joe-Wong, Samet Oymak, Jiasi Chen:
TREACLE: Thrifty Reasoning via Context-Aware LLM and Prompt Selection. CoRR abs/2404.13082 (2024) - 2023
- [j1]Chen Zhou, Shuaijian Dai, Shengzhi Lai, Yuanqiao Lin, Xuechen Zhang, Ning Li, Weichuan Yu:
ECL 3.0: a sensitive peptide identification tool for cross-linking mass spectrometry data analysis. BMC Bioinform. 24(1): 351 (2023) - [c4]Karthik Elamvazhuthi, Xuechen Zhang, Samet Oymak, Fabio Pasqualetti:
Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs. L4DC 2023: 1-11 - [c3]Davoud Ataee Tarzanagh, Yingcong Li, Xuechen Zhang, Samet Oymak:
Max-Margin Token Selection in Attention Mechanism. NeurIPS 2023 - [c2]Xuechen Zhang, Zheng Li, Samet Oymak, Jiasi Chen:
Text-to-3D Generative AI on Mobile Devices: Measurements and Optimizations. EMS@SIGCOMM 2023: 8-14 - [i5]Karthik Elamvazhuthi, Xuechen Zhang, Samet Oymak, Fabio Pasqualetti:
Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs. CoRR abs/2305.08849 (2023) - [i4]Davoud Ataee Tarzanagh, Yingcong Li, Xuechen Zhang, Samet Oymak:
Max-Margin Token Selection in Attention Mechanism. CoRR abs/2306.13596 (2023) - [i3]Xuechen Zhang, Mingchen Li, Xiangyu Chang, Jiasi Chen, Amit K. Roy-Chowdhury, Ananda Theertha Suresh, Samet Oymak:
FedYolo: Augmenting Federated Learning with Pretrained Transformers. CoRR abs/2307.04905 (2023) - 2022
- [i2]Mingchen Li, Xuechen Zhang, Christos Thrampoulidis, Jiasi Chen, Samet Oymak:
AutoBalance: Optimized Loss Functions for Imbalanced Data. CoRR abs/2201.01212 (2022) - 2021
- [c1]Mingchen Li, Xuechen Zhang, Christos Thrampoulidis, Jiasi Chen, Samet Oymak:
AutoBalance: Optimized Loss Functions for Imbalanced Data. NeurIPS 2021: 3163-3177 - [i1]Xuechen Zhang, Samet Oymak, Jiasi Chen:
Post-hoc Models for Performance Estimation of Machine Learning Inference. CoRR abs/2110.02459 (2021)
Coauthor Index
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