Capacity Analysis and Improvement Scheme Basing on the TPS of Qtum Block Chain. - Wenqi Li; Zhihuai Li; Fusen Wang (ICNC-FSKD, 2019)

Scale-Aware Multi-stage Fusion Network for Crowd Counting. - Qi Liu; Jun Sang; Fusen Wang; Li Yang; Xiaofeng Xia; Nong Sang (ICONIP (6), 2021)

A deep learning based known plaintext attack method for chaotic cryptosystem. - Fusen Wang; Jun Sang; Qi Liu; Chunlin Huang; Jinghan Tan (CoRR, 2021)

Applying Deep Learning to Known-Plaintext Attack on Chaotic Image Encryption Schemes. - Fusen Wang; Jun Sang; Chunlin Huang; Bin Cai; Hong Xiang; Nong Sang (ICASSP, 2022)

MLRNet: Towards Real-Time Crowd Counting With Mobile-Based Lightweight Framework. - Peirong Ji; Xiaofeng Xia; Zhiwei Wu; Fusen Wang; Xinyue Liu; Jun Sang (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

SGCNet: Scale-aware and global contextual network for crowd counting. - Qi Liu; Yanqun Guo; Jun Sang; Jinghan Tan; Fusen Wang; Shaoli Tian (Appl. Intell., 2022)

MGSNet: A multi-scale and gated spatial attention network for crowd counting. - Ying Shi; Jun Sang; Zhongyuan Wu; Fusen Wang; Xinyue Liu; Xiaofeng Xia; Nong Sang (Appl. Intell., 2022)

Joint CNN and Transformer Network via weakly supervised Learning for efficient crowd counting. - Fusen Wang; Kai Liu; Fei Long; Nong Sang; Xiaofeng Xia; Jun Sang (CoRR, 2022)

Hybrid attention network based on progressive embedding scale-context for crowd counting. - Fusen Wang; Jun Sang; Zhongyuan Wu; Qi Liu; Nong Sang (Inf. Sci., 2022)

Weakly supervised crowd counting with joint CNN and transformer network. - Fusen Wang; Kai Liu; Ning Wei; Nong Sang; Xiaofeng Xia; Jun Sang (Pattern Recognit., 2026)