Haochen Luo

According to our database, Haochen Luo authored at least 11 papers between 2017 and 2024.

Collaborative distances:

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

2024

Model-agnostic Origin Attribution of Generated Images with Few-shot Examples.

Fengyuan Liu, Haochen Luo, Yiming Li, Philip Torr, Jindong Gu

CoRR, 2024

An Image Is Worth 1000 Lies: Adversarial Transferability across Prompts on Vision-Language Models.

Haochen Luo, Jindong Gu, Fengyuan Liu, Philip Torr

CoRR, 2024

An Image Is Worth 1000 Lies: Transferability of Adversarial Images across Prompts on Vision-Language Models.

Haochen Luo, Jindong Gu, Fengyuan Liu, Philip Torr

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution.

Fengyuan Liu, Haochen Luo, Yiming Li, Philip Torr, Jindong Gu

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

A novel Markov model for near-term railway delay prediction.

Jin Xu, Weiqi Wang, Zheming Gao, Haochen Luo, Qian Wu

Comput. Ind. Eng., July, 2023

Valid inequalities and facets for multi-module survivable network design problem.

Haochen Luo, Kiavash Kianfar

Networks, March, 2023

Together We Make Sense - Learning Meta-Sense Embeddings from Pretrained Static Sense Embeddings.

Haochen Luo, Yi Zhou, Danushka Bollegala

CoRR, 2023

Together We Make Sense-Learning Meta-Sense Embeddings.

Haochen Luo, Yi Zhou, Danushka Bollegala

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2019

Detection of m6A RNA Methylation in Nanopore Sequencing Data Using Support Vector Machine.

Shen Jia, Haochen Luo, Qiheng Gao, Jiaqi Guo, Jionglong Su, Jia Meng, Xiangyu Wu

Proceedings of the 12th International Congress on Image and Signal Processing, 2019

2017

FAMOUS: Fast Approximate string Matching using OptimUm search Schemes.

Kiavash Kianfar, Christopher Pockrandt, Bahman Torkamandi, Haochen Luo, Knut Reinert

CoRR, 2017

Jamming signals classification using convolutional neural network.

Zhilu Wu, Yanlong Zhao, Zhendong Yin, Haochen Luo

Proceedings of the 2017 IEEE International Symposium on Signal Processing and Information Technology, 2017