Jamming signals classification using convolutional neural network. - Zhilu Wu; Yanlong Zhao; Zhendong Yin; Haochen Luo (ISSPIT, 2017)

FAMOUS: Fast Approximate string Matching using OptimUm search Schemes. - Kiavash Kianfar; Christopher Pockrandt; Bahman Torkamandi; Haochen Luo; Knut Reinert (CoRR, 2017)

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 001; Xiangyu Wu (CISP-BMEI, 2019)

A Novel Markov Model for Near-Term Railway Delay Prediction. - Jin Xu; Weiqi Wang; Zheming Gao; Haochen Luo; Qian Wu (CoRR, 2022)

Together We Make Sense-Learning Meta-Sense Embeddings. - Haochen Luo; Yi Zhou 019; Danushka Bollegala (ACL (Findings), 2023)

Together We Make Sense - Learning Meta-Sense Embeddings from Pretrained Static Sense Embeddings. - Haochen Luo; Yi Zhou 019; Danushka Bollegala (CoRR, 2023)

Valid inequalities and facets for multi-module survivable network design problem. - Haochen Luo; Kiavash Kianfar (Networks, 2023)

A novel Markov model for near-term railway delay prediction. - Jin Xu; Weiqi Wang 005; Zheming Gao; Haochen Luo; Qian Wu (Comput. Ind. Eng., 2023)

Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution. - Fengyuan Liu; Haochen Luo; Yiming Li 004; Philip Torr 001; Jindong Gu (ECCV (62), 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 001 (ICLR, 2024)

An Image Is Worth 1000 Lies: Adversarial Transferability across Prompts on Vision-Language Models. - Haochen Luo; Jindong Gu; Fengyuan Liu; Philip Torr 001 (CoRR, 2024)

Model-agnostic Origin Attribution of Generated Images with Few-shot Examples. - Fengyuan Liu; Haochen Luo; Yiming Li 004; Philip Torr 001; Jindong Gu (CoRR, 2024)

ECDQC: Efficient Compilation for Distributed Quantum Computing with Linear Layout. - Kecheng Liu; Yidong Zhou; Haochen Luo; Lingjun Xiong; Yuchen Zhu; Eilis Casey; Jinglei Cheng; Samuel Yen-Chi Chen; Zhiding Liang (ISCAS, 2025)

DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers. - Xuyang Zhong; Haochen Luo; Chen Liu 027 (CoRR, 2025)