Fooling AI with AI: An Accelerator for Adversarial Attacks on Deep Learning Visual Classification. - Haoqiang Guo; Lu Peng 001; Jian Zhang 004; Fang Qi; Lide Duan (ASAP, 2019)

Hardware Accelerator for Adversarial Attacks on Deep Learning Neural Networks. - Haoqiang Guo; Lu Peng 001; Jian Zhang 004; Fang Qi; Lide Duan (IGSC, 2019)

ATT: A Fault-Tolerant ReRAM Accelerator for Attention-based Neural Networks. - Haoqiang Guo; Lu Peng 001; Jian Zhang 004; Qing Chen; Travis LeCompte (ICCD, 2020)

Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese. - Haochun Wang; Sendong Zhao; Zewen Qiang; Zijian Li 020; Nuwa Xi; Yanrui Du; Muzhen Cai; Haoqiang Guo; Yuhan Chen 002; Haoming Xu; Bing Qin 001; Ting Liu 001 (CoRR, 2023)

The CALLA Dataset: Probing LLMs' Interactive Knowledge Acquisition from Chinese Medical Literature. - Yanrui Du; Sendong Zhao; Muzhen Cai; Jianyu Chen; Haochun Wang; Yuhan Chen 002; Haoqiang Guo; Bing Qin 001 (CoRR, 2023)

MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts. - Haoqiang Guo; Sendong Zhao; Haochun Wang; Yanrui Du; Bing Qin 001 (AAAI, 2024)