Zhitao Zhu

According to our database, Zhitao Zhu authored at least 12 papers between 2020 and 2026.

Collaborative distances:

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

2026

How Should LLMs Consume High-Quality Data? Optimal Data Scheduling via Quality-Aware Functional Scaling Laws.

Zhitao Zhu, Xili Wang, Shizhe Wu, Jiawei Fu, Xiaoqing Liu

CoRR, May, 2026

2025

Provable Low-Rank Tensor-Train Approximations in the Inverse of Large-Scale Structured Matrices.

Chuanfu Xiao, Kejun Tang, Zhitao Zhu

CoRR, January, 2025

APTT: Accuracy-Preserved Tensor-Train Method for the Boltzmann-BGK Equation.

Zhitao Zhu, Chuanfu Xiao, Kejun Tang, Jizu Huang, Chao Yang

SIAM J. Sci. Comput., 2025

2024

APTT: An accuracy-preserved tensor-train method for the Boltzmann-BGK equation.

Zhitao Zhu, Chuanfu Xiao, Kejun Tang, Jizu Huang, Chao Yang

CoRR, 2024

2023

D3-TD3: Deep Dense Dueling Architectures in TD3 Algorithm for Robot Path Planning Based on 3D Point Cloud.

Yuwan Gu, Zhitao Zhu, Yongtao Chu, Jidong Lv, Xueyuan Wang, Shoukun Xu

J. Circuits Syst. Comput., December, 2023

DM-DQN: Dueling Munchausen deep Q network for robot path planning.

Yuwan Gu, Zhitao Zhu, Jidong Lv, Lin Shi, Zhenjie Hou, Shoukun Xu

Complex Intell. Syst., 2023

2022

Research on Obstacle Avoidance Method of Robot Based on Region Location.

Yuwan Gu, Qiuyuan Yang, Zhitao Zhu, Shoukun Xu, Hui Qian

J. Circuits Syst. Comput., 2022

Debias the Black-Box: A Fair Ranking Framework via Knowledge Distillation.

Zhitao Zhu, Shijing Si, Jianzong Wang, Yaodong Yang, Jing Xiao

Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

Cali3F: Calibrated Fast Fair Federated Recommendation System.

Zhitao Zhu, Shijing Si, Jianzong Wang, Jing Xiao

Proceedings of the International Joint Conference on Neural Networks, 2022

Leveraging Causal Inference for Explainable Automatic Program Repair.

Jianzong Wang, Shijing Si, Zhitao Zhu, Xiaoyang Qu, Zhenhou Hong, Jing Xiao

Proceedings of the International Joint Conference on Neural Networks, 2022

A Fair Federated Learning Framework With Reinforcement Learning.

Yaqi Sun, Shijing Si, Jianzong Wang, Yuhan Dong, Zhitao Zhu, Jing Xiao

Proceedings of the International Joint Conference on Neural Networks, 2022

2020

Design of a Ku-band MMIC LNA with a Simple T-type Input Matching Network.

Tian Qi, Songbai He, Cheng Zhong, Zhitao Zhu

J. Circuits Syst. Comput., 2020