Haotian Ju

According to our database, Haotian Ju authored at least 8 papers between 2022 and 2024.

Collaborative distances:

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

2024

Configuration Design and Analysis of Reconfigurable Supernumerary Robotic Legs for Multitask Adaptation: SuperLegs.

Qinghua Zhang, Hongwu Li, Yuan Tang, Yuancheng Li, Minghao Bai, Xianglong Li, Haotian Ju, Tianjiao Zheng, Mingzhu Lai, Jie Zhao, Yanhe Zhu

Adv. Intell. Syst., March, 2024

2023

Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis.

Abhinav Nippani, Dongyue Li, Haotian Ju, Haris N. Koutsopoulos, Hongyang R. Zhang

CoRR, 2023

Noise Stability Optimization for Flat Minima with Optimal Convergence Rates.

Haotian Ju, Dongyue Li, Hongyang R. Zhang

CoRR, 2023

Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis.

Abhinav Nippani, Dongyue Li, Haotian Ju, Haris K. Koutsopoulos, Hongyang R. Zhang

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

Boosting Multitask Learning on Graphs through Higher-Order Task Affinities.

Dongyue Li, Haotian Ju, Aneesh Sharma, Hongyang R. Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion.

Haotian Ju, Dongyue Li, Aneesh Sharma, Hongyang R. Zhang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

RTSRAs: A Series-Parallel-Reconfigurable Tendon-Driven Supernumerary Robotic Arms.

Qinghua Zhang, Changle Li, Hongwei Jing, Hongwu Li, Xianglong Li, Haotian Ju, Yuan Tang, Jie Zhao, Yanhe Zhu

IEEE Robotics Autom. Lett., 2022

Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees.

Haotian Ju, Dongyue Li, Hongyang R. Zhang

Proceedings of the International Conference on Machine Learning, 2022