A Deep Learning Approach Using DeepGBM for Credit Assessment. - Xue Chen; Zhenlong Liu; Ming Zhong; Xin Liu; Peng Song (RICAI, 2019)

Compact High-Efficiency Broadband Rectifier With Multi-Stage-Transmission-Line Matching. - Pengde Wu; Shao Ying Huang; Wenshen Zhou; Wenwei Yu; Zhenlong Liu; Xiaojie Chen; Changjun Liu (IEEE Trans. Circuits Syst. II Express Briefs, 2019)

SACC: A Size Adaptive Content Caching Algorithm in Fog/Edge Computing Using Deep Reinforcement Learning. - Xiaoping Zhou; Zhenlong Liu; Maozu Guo 001; Jichao Zhao; Jialin Wang (IEEE Trans. Emerg. Top. Comput., 2022)

Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss. - Zhenlong Liu; Lei Feng 006; Huiping Zhuang; Xiaofeng Cao; Hongxin Wei (ICML, 2024)

Exploring Learning Complexity for Downstream Data Pruning. - Wenyu Jiang; Zhenlong Liu; Zejian Xie; Songxin Zhang; Bingyi Jing; Hongxin Wei (CoRR, 2024)

SA-MVSNet: Self-attention-based multi-view stereo network for 3D reconstruction of images with weak texture. - Ronghao Yang; Wang Miao; Zhenxin Zhang; Zhenlong Liu; Mubai Li; Bin Lin (Eng. Appl. Artif. Intell., 2024)

Exploring Learning Complexity for Efficient Downstream Dataset Pruning. - Wenyu Jiang; Zhenlong Liu; Zejian Xie; Songxin Zhang; Bingyi Jing; Hongxin Wei (ICLR, 2025)

A Modulo Sampling Hardware Prototype and Reconstruction Algorithms Evaluation. - Jiang Zhu 004; Junnan Ma; Zhenlong Liu; Fengzhong Qu; Zheng Zhu; Qi Zhang 081 (IEEE Trans. Instrum. Meas., 2025)

Efficient Membership Inference Attacks by Bayesian Neural Network. - Zhenlong Liu; Wenyu Jiang; Feng Zhou; Hongxin Wei (CoRR, 2025)