Xuechen Zhang

According to our database, Xuechen Zhang authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

TREACLE: Thrifty Reasoning via Context-Aware LLM and Prompt Selection.

Xuechen Zhang, Zijian Huang, Ege Onur Taga, Carlee Joe-Wong, Samet Oymak, Jiasi Chen

CoRR, 2024

Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective.

Xuechen Zhang, Mingchen Li, Jiasi Chen, Christos Thrampoulidis, Samet Oymak

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions.

Karthik Elamvazhuthi, Xuechen Zhang, Matthew Jacobs, Samet Oymak, Fabio Pasqualetti

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

ECL 3.0: a sensitive peptide identification tool for cross-linking mass spectrometry data analysis.

Chen Zhou, Shuaijian Dai, Shengzhi Lai, Yuanqiao Lin, Xuechen Zhang, Ning Li, Weichuan Yu

BMC Bioinform., December, 2023

FedYolo: Augmenting Federated Learning with Pretrained Transformers.

Xuechen Zhang, Mingchen Li, Xiangyu Chang, Jiasi Chen, Amit K. Roy-Chowdhury, Ananda Theertha Suresh, Samet Oymak

CoRR, 2023

Text-to-3D Generative AI on Mobile Devices: Measurements and Optimizations.

Xuechen Zhang, Zheng Li, Samet Oymak, Jiasi Chen

Proceedings of the 2023 Workshop on Emerging Multimedia Systems, 2023

Max-Margin Token Selection in Attention Mechanism.

Davoud Ataee Tarzanagh, Yingcong Li, Xuechen Zhang, Samet Oymak

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs.

Karthik Elamvazhuthi, Xuechen Zhang, Samet Oymak, Fabio Pasqualetti

Proceedings of the Learning for Dynamics and Control Conference, 2023

2021

Post-hoc Models for Performance Estimation of Machine Learning Inference.

Xuechen Zhang, Samet Oymak, Jiasi Chen

CoRR, 2021

AutoBalance: Optimized Loss Functions for Imbalanced Data.

Mingchen Li, Xuechen Zhang, Christos Thrampoulidis, Jiasi Chen, Samet Oymak

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021