Haohan Chen

According to our database, Haohan Chen authored at least 11 papers between 2021 and 2025.

Collaborative distances:

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

2025

VulBinLLM: LLM-powered Vulnerability Detection for Stripped Binaries.

Nasir Hussain, Haohan Chen, Chanh Tran, Philip Huang, Zhuohao Li, Pravir Chugh, William Chen, Ashish Kundu, Yuan Tian

CoRR, May, 2025

MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning.

Hongjia Liu, Rongzhen Zhao, Haohan Chen, Joni Pajarinen

CoRR, May, 2025

DMAGaze: Gaze Estimation Based on Feature Disentanglement and Multi-Scale Attention.

Haohan Chen, Hongjia Liu, Shiyong Lan, Wenwu Wang, Yixin Qiao, Yao Li, Guonan Deng

CoRR, April, 2025

2023

Lagged Linkage between the Kara-Barents Sea Ice and Early Summer Rainfall in Eastern China in Chinese CMIP6 Models.

Huidi Yang, Jian Rao, Haohan Chen, Qian Lu, Jingjia Luo

Remote. Sens., April, 2023

An Adaptive Hybrid Sampling Method for Free-Form Surfaces Based on Geodesic Distance.

Chen Chen, Huakun Jia, Yang Lu, Xiaodong Zhang, Haohan Chen, Liandong Yu

Sensors, March, 2023

Gradient and self-attention enabled convolutional neural network for crack detection in smart cities.

Renping Xie, Mengyao Chen, Ming Tao, Kai Ding, Haohan Chen

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

2022

Fluorescent Aptasensor for Highly Specific Detection of ATP Using a Newly Screened Aptamer.

Xin Chen, Yangkun Feng, Haohan Chen, Yuting Zhang, Xiaoli Wang, Nandi Zhou

Sensors, 2022

Understanding how people consume low quality and extreme news using web traffic data.

Zhouhan Chen, Haohan Chen, Juliana Freire, Jonathan Nagler, Joshua A. Tucker

CoRR, 2022

What we learned about The Gateway Pundit from its own web traffic data.

Zhouhan Chen, Haohan Chen, Joshua A. Tucker, Juliana Freire, Jonathan Nagler

Proceedings of the Workshop Proceedings of the 16th International AAAI Conference on Web and Social Media, 2022

2021

Amazon SageMaker Model Parallelism: A General and Flexible Framework for Large Model Training.

Can Karakus, Rahul Huilgol, Fei Wu, Anirudh Subramanian, Cade Daniel, Derya Çavdar, Teng Xu, Haohan Chen, Arash Rahnama, Luis Quintela

CoRR, 2021

Application of Grey Wolf Optimization in Anti-collision Vehicle.

Yingfeng Wu, Bin Ren, Haohan Chen

Proceedings of the ICMLSC '21: 2021 The 5th International Conference on Machine Learning and Soft Computing, 2021