Application of STM32 Microcomputer in the Design of Pressure Sensor Compensation. - Jianmin Wang; Yongxin Mou; Junqin Huang; Xiaodong Liu 011 (AsiaSim (1), 2012)

Big Data Model of Security Sharing Based on Blockchain. - Yue Li; Junqin Huang; Shengzhi Qin; Ruijin Wang (BigCom, 2017)

B-IoT: Blockchain Driven Internet of Things with Credit-Based Consensus Mechanism. - Junqin Huang; Linghe Kong; Guihai Chen; Long Cheng 005; Kaishun Wu; Xue Liu 001 (ICDCS, 2019)

Towards Secure Industrial IoT: Blockchain System With Credit-Based Consensus Mechanism. - Junqin Huang; Linghe Kong; Guihai Chen; Min-You Wu; Xue Liu 001; Peng Zeng 001 (IEEE Trans. Ind. Informatics, 2019)

Long-Short Graph Memory Network for Skeleton-based Action Recognition. - Junqin Huang; Zhenhuan Huang; Xiang Xiang 001; Xuan Gong; Baochang Zhang 001 (WACV, 2020)

Blockchain-Based Mobile Crowd Sensing in Industrial Systems. - Junqin Huang; Linghe Kong; Hong-Ning Dai; Weiping Ding 001; Long Cheng 005; Guihai Chen; Xi Jin 001; Peng Zeng 001 (IEEE Trans. Ind. Informatics, 2020)

A Privacy-Preserving Vehicular Data Sharing Framework atop Multi-Sharding Blockchain. - Jingwei Wang; Junqin Huang; Linghe Kong; Guihai Chen; Dianle Zhou; Joel J. P. C. Rodrigues (GLOBECOM, 2021)

Learning-based congestion control simulator for mobile internet education. - Junqin Huang; Linghe Kong; Jiejian Wu; Yutong Liu; Yuchen Li 006; Zhe Wang 015 (MobiArch, 2021)

One to Transfer All: A Universal Transfer Framework for Vision Foundation Model with Few Data. - Yujie Wang; Junqin Huang; Mengya Gao; Yichao Wu; Zhenfei Yin; Ding Liang; Junjie Yan (CoRR, 2021)

GLaMa: Joint Spatial and Frequency Loss for General Image Inpainting. - Zeyu Lu; Junjun Jiang; Junqin Huang; Gang Wu 010; Xianming Liu 005 (CVPR Workshops, 2022)

NTIRE 2022 Image Inpainting Challenge: Report. - Andrés Romero; Angela Castillo; Jose Abril-Nova; Radu Timofte; Ritwik Das; Sanchit Hira; Zhihong Pan 001; Min Zhang 030; Baopu Li; Dongliang He; Tianwei Lin; Fu Li 003; et al. (CVPR Workshops, 2022)

A novel method for financial distress prediction based on sparse neural networks with L1/2 regularization. - Ying Chen; Jifeng Guo 002; Junqin Huang; Bin Lin (Int. J. Mach. Learn. Cybern., 2022)

DeFLoc: Deep Learning Assisted Indoor Vehicle Localization Atop FM Fingerprint Map. - Jiale Lei; Junqin Huang; Linghe Kong; Guihai Chen; Muhammad Khurram Khan (IEEE Trans. Intell. Transp. Syst., 2022)

Relayer-Enabled Sharding Blockchain for Satellite Internet with High Concurrency. - Hong Tang; Junqin Huang; Kai Liu 034; Linghe Kong; Guihai Chen; Shuangxi Cao; Chuyan Niu; Yufeng Wei (GLOBECOM, 2023)

Edge-computing-driven Internet of Things: A Survey. - Linghe Kong; Jinlin Tan; Junqin Huang; Guihai Chen; Shuaitian Wang; Xi Jin 001; Peng Zeng 001; Muhammad Khurram Khan; Sajal K. Das 001 (ACM Comput. Surv., 2023)

PV-TSC: Learning to Control Traffic Signals for Pedestrian and Vehicle Traffic in 6G Era. - Kangjie Xu; Junqin Huang; Linghe Kong; Jiadi Yu; Guihai Chen (IEEE Trans. Intell. Transp. Syst., 2023)

AISChain: Blockchain-Based AIS Data Platform With Dynamic Bloom Filter Tree. - Yongshuai Duan; Junqin Huang; Jiale Lei; Linghe Kong; Yibin Lv; Zhiliang Lin; Guihai Chen; Muhammad Khurram Khan (IEEE Trans. Intell. Transp. Syst., 2023)

Blockchain-Based Federated Learning: A Systematic Survey. - Junqin Huang; Linghe Kong; Guihai Chen; Qiao Xiang; Xi Chen 009; Xue (Steve) Liu (IEEE Netw., 2023)

A GAN-Based Data Augmentation Method for Palm Vein Authentication. - Junqin Huang; Jiyi Huang; Haoheng Lin; Dacan Luo; Wenxiong Kang (CCBR (1), 2024)

Region of Interest Extraction for Palm in the Wild. - Haoheng Lin; Junqin Huang; Dacan Luo; Ming Zeng 012; Wenxiong Kang (CCBR (1), 2024)

Optimizing Sentiment Inference with Multi-Expert Models via Real-Time GPU Resource Monitoring. - Junqin Huang; Chuishuo Meng; Sen Wang; Feng Liang 004 (SmartIoT, 2024)

Advancing Web 3.0: Making Smart Contracts Smarter on Blockchain. - Junqin Huang; Linghe Kong; Guanjie Cheng; Qiao Xiang; Guihai Chen; Gang Huang 004; Xue Liu 001 (WWW, 2024)

Piccolo2: General Text Embedding with Multi-task Hybrid Loss Training. - Junqin Huang; Zhongjie Hu; Zihao Jing; Mengya Gao; Yichao Wu (CoRR, 2024)

Conditional Privacy-Preserving Multi-Domain Authentication and Pseudonym Management for 6G-Enabled IoV. - Guanjie Cheng; Junqin Huang; Yewei Wang; Jun Zhao 007; Linghe Kong; Shuiguang Deng; Xueqiang Yan (IEEE Trans. Inf. Forensics Secur., 2024)

BlockSense: Towards Trustworthy Mobile Crowdsensing via Proof-of-Data Blockchain. - Junqin Huang; Linghe Kong; Long Cheng 005; Hong-Ning Dai; Meikang Qiu; Guihai Chen; Xue (Steve) Liu; Gang Huang 004 (IEEE Trans. Mob. Comput., 2024)

Secure Data Sharing over Vehicular Networks Based on Multi-sharding Blockchain. - Junqin Huang; Linghe Kong; Jingwei Wang; Guihai Chen; Jianhua Gao; Gang Huang 004; Muhammad Khurram Khan (ACM Trans. Sens. Networks, 2024)

Pattern-Hiding Encrypted Multi-Maps With Support for Join Queries. - Jinguo Li; Delong Cui; Junqin Huang; Linghe Kong (IEEE Trans. Inf. Forensics Secur., 2025)

SatFusion: A Unified Framework for Enhancing Satellite IoT Images via Multi-Temporal and Multi-Source Data Fusion. - Yufei Tong; Guanjie Cheng; Peihan Wu; Yicheng Zhu; Kexu Lu; Feiyi Chen; Meng Xi 002; Junqin Huang; Shuiguang Deng (CoRR, 2025)

ALPINE: A Lightweight and Adaptive Privacy-Decision Agent Framework for Dynamic Edge Crowdsensing. - Guanjie Cheng; Siyang Liu; Junqin Huang; Xinkui Zhao; Yin Wang 004; Mengying Zhu; Linghe Kong; Shuiguang Deng (CoRR, 2025)