Automatic Garment Modeling From Front And Back Images. - Lifeng Huang; Chengying Gao (PG (Short Papers), 2014)

Associating sentimental orientation of Chinese neologism in social media data. - Lifeng Huang; Xi Liu; Vincent Ng 002 (CSCWD, 2015)

Macro-pico amplitude-space sharing with layered interference alignment. - Yafei Tian; Lifeng Huang; Chenyang Yang 001 (EURASIP J. Wirel. Commun. Netw., 2015)

Predicting the Bursts of Data Access Streams by Filtering Correlated I/Os. - Lifeng Huang; Yuhui Deng; Cheng Hu 004; Yongtao Zhou; Ru Yang; Ruikai Liu (HPCC/SmartCity/DSS, 2016)

G-UAP: Generic Universal Adversarial Perturbation that Fools RPN-based Detectors. - Xing Wu; Lifeng Huang; Chengying Gao (ACML, 2019)

UPC: Learning Universal Physical Camouflage Attacks on Object Detectors. - Lifeng Huang; Chengying Gao; Yuyin Zhou; Changqing Zou; Cihang Xie; Alan L. Yuille; Ning Liu (CoRR, 2019)

Universal Physical Camouflage Attacks on Object Detectors. - Lifeng Huang; Chengying Gao; Yuyin Zhou; Cihang Xie; Alan L. Yuille; Changqing Zou; Ning Liu (CVPR, 2020)

Scale-aware Progressive Optimization Network. - Ying Chen; Lifeng Huang; Chengying Gao; Ning Liu (ACM Multimedia, 2020)

Enhancing Adversarial Examples Via Self-Augmentation. - Lifeng Huang; Chengying Gao; Wenzi Zhuang; Ning Liu (ICME, 2021)

An Effective Low-Contrast SF₆ Gas Leakage Detection Method for Infrared Imaging. - Quan Lu; Qin Li; Likun Hu; Lifeng Huang (IEEE Trans. Instrum. Meas., 2021)

DEFEAT: Decoupled feature attack across deep neural networks. - Lifeng Huang; Chengying Gao; Ning Liu (Neural Networks, 2022)

Cyclical Adversarial Attack Pierces Black-box Deep Neural Networks. - Lifeng Huang; Shuxin Wei; Chengying Gao; Ning Liu (Pattern Recognit., 2022)

Erosion Attack: Harnessing Corruption To Improve Adversarial Examples. - Lifeng Huang; Chengying Gao; Ning Liu (IEEE Trans. Image Process., 2023)

Investigation of the Causal Relationship Between Alcohol Consumption and COVID-19: A Two-Sample Mendelian Randomization Study. - Zhihan Xiao; Yawei Qian; Yi Liu; Lifeng Huang; Mingxuan Si; Zichen Wang; Tongyu Zhang; Xiru Chen; Jing Cao; Liang Chen; Yang Liu 261; Weicheng Liu; et al. (Int. J. Comput. Intell. Syst., 2023)

Boosting Imperceptibility of Adversarial Attacks for Environmental Sound Classification. - Shaojian Qiu; Xiaokang You; Wei Rong; Lifeng Huang; Yun Liang 003 (ICTAI, 2024)

LAFED: Towards robust ensemble models via Latent Feature Diversification. - Wenzi Zhuang; Lifeng Huang; Chengying Gao; Ning Liu (Pattern Recognit., 2024)

FASTEN: Fast Ensemble Learning for Improved Adversarial Robustness. - Lifeng Huang; Qiong Huang 001; Peichao Qiu; Shuxin Wei; Chengying Gao (IEEE Trans. Inf. Forensics Secur., 2024)

DanceComposer: Dance-to-Music Generation Using a Progressive Conditional Music Generator. - Xiao Liang; Wensheng Li; Lifeng Huang; Chengying Gao (IEEE Trans. Multim., 2024)

AUTE: Peer-Alignment and Self-Unlearning Boost Adversarial Robustness for Training Ensemble Models. - Lifeng Huang; Tian Su; Chengying Gao; Ning Liu; Qiong Huang 001 (AAAI, 2025)