Haoze He

According to our database, Haoze He authored at least 18 papers between 2022 and 2026.

Collaborative distances:

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

2026

Preserving Long-Tailed Expert Information in Mixture-of-Experts Tuning.

Haoze He, Xingyuan Ding, Xuan Jiang, Xinkai Zou, Alex Cheng, Yibo Zhao, Juncheng Billy Li, Heather Miller

CoRR, April, 2026

2025

RAST-MoE-RL: A Regime-Aware Spatio-Temporal MoE Framework for Deep Reinforcement Learning in Ride-Hailing.

Yuhan Tang, Kangxin Cui, Jung Ho Park, Yibo Zhao, Xuan Jiang, Haoze He, Dingyi Zhuang, Shenhao Wang, Jiangbo Yu, Harilaos N. Koutsopoulos, Jinhua Zhao

CoRR, December, 2025

Randomized methods for computing joint eigenvalues, with applications to multiparameter eigenvalue problems and root finding.

Haoze He, Daniel Kressner, Bor Plestenjak

Numer. Algorithms, November, 2025

RJD-BASE: Multi-Modal Spectral Clustering via Randomized Joint Diagonalization.

Haoze He, Artemis Pados, Daniel Kressner

CoRR, September, 2025

CloudAnoAgent: Anomaly Detection for Cloud Sites via LLM Agent with Neuro-Symbolic Mechanism.

Xinkai Zou, Xuan Jiang, Ruikai Huang, Haoze He, Parv Kapoor, Jiahua Zhao

CoRR, August, 2025

Bridging Chaos Game Representations and <i>k</i>-mer Frequencies of DNA Sequences.

Haoze He, Lila Kari, Pablo Millan Arias

CoRR, June, 2025

Stochastic trace estimation for parameter-dependent matrices applied to spectral density approximation.

Fabio Matti, Haoze He, Daniel Kressner, Hei Yin Lam

CoRR, February, 2025

Bridging Chaos Game Representations and k-mer Frequencies of DNA Sequences.

Haoze He, Lila Kari, Pablo Millan Arias

Proceedings of the Unconventional Computation and Natural Computation, 2025

SMT: Fine-Tuning Large Language Models with Sparse Matrices.

Haoze He, Juncheng B. Li, Xuan Jiang, Heather Miller

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Randomized Joint Diagonalization of Symmetric Matrices.

Haoze He, Daniel Kressner

SIAM J. Matrix Anal. Appl., March, 2024

A simple, randomized algorithm for diagonalizing normal matrices.

Haoze He, Daniel Kressner

CoRR, 2024

Sparse Matrix in Large Language Model Fine-tuning.

Haoze He, Juncheng Billy Li, Xuan Jiang, Heather Miller

CoRR, 2024

A randomized algorithm for simultaneously diagonalizing symmetric matrices by congruence.

Haoze He, Daniel Kressner

CoRR, 2024

Multi-View Radar Autoencoder for Self-Supervised Automotive Radar Representation Learning.

Haoran Zhu, Haoze He, Anna Choromanska, Satish Ravindran, Binbin Shi, Lihui Chen

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Adjacent Leader Decentralized Stochastic Gradient Descent.

Haoze He, Jing Wang, Anna Choromanska

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

RCD-SGD: Resource-Constrained Distributed SGD in Heterogeneous Environment Via Submodular Partitioning.

Haoze He, Parijat Dube

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Accelerating Parallel Stochastic Gradient Descent via Non-blocking Mini-batches.

Haoze He, Parijat Dube

CoRR, 2022

Wrist pulse signal acquisition and analysis for disease diagnosis: A review.

Chaoxun Guo, Zhixing Jiang, Haoze He, Yining Liao, David Zhang

Comput. Biol. Medicine, 2022