A New Watermark Mechanism for Relational Data. - Min Huang 009; Jiaheng Cao; Zhiyong Peng; Ying Fang (CIT, 2004)

Geo-WDBMS: An Improved DBMS with the Function of Watermarking Geographical Data. - Min Huang 009; Xiang Zhou; Jiaheng Cao; Zhiyong Peng (DASFAA, 2007)

Hybrid Indexing of Moving Objects with Frequent Updates on Fixed Networks. - Ying Fang; Jiaheng Cao; Min Huang 009; Cheng Zeng; Jinshuo Liu (MSA, 2007)

An additive-attack-proof watermarking mechanism for databases' copyrights protection using image. - Xiang Zhou; Min Huang 009; Zhiyong Peng (SAC, 2007)

The Design and Building of Metadata Model in XBRL Taxonomy Engineering. - Ding Wang; Min Huang 009; Ying Wang 030; Peng Chen 014 (ISCID (2), 2011)

Deep embedding network for robust age estimation. - Yating He; Min Huang 009; Qinghai Miao; Haiyun Guo; Jinqiao Wang (ICIP, 2017)

Architecting the Discontinuous Deformation Analysis Method Pipeline on the GPU. - Yunfan Xiao; Min Huang 009; Qinghai Miao; Jun Xiao 005; Ying Wang 030 (IPDPS Workshops, 2017)

Pose-Weighted Gan for Photorealistic Face Frontalization. - Sufang Zhang; Qinghai Miao; Min Huang 009; Xiangyu Zhu 001; Yingying Chen 003; Zhen Lei 001; Jinqiao Wang (ICIP, 2019)

Vehicle Re-Identification with Refined Part Model. - Xingan Ma; Kuan Zhu; Haiyun Guo; Jinqiao Wang; Min Huang 009; Qinghai Miao (ICME Workshops, 2019)

Improving Efficient Neural Architecture Search Using Out-net. - Cong Liu; Qinghai Miao; Min Huang 009 (ICCAI, 2021)

Parallel Learning between Science for AI and AI for Science: A Brief Overview and Perspective*. - Qinghai Miao; Min Huang 009; Yisheng Lv; Fei-Yue Wang 001 (ANZCC, 2022)

Hybrid Attention-based Transformer for Long-range Document Classification. - Ruyu Qin; Min Huang 009; Jiawei Liu; Qinghai Miao (IJCNN, 2022)

Graph Neural Networks Based Multi-granularity Feature Representation Learning for Fine-Grained Visual Categorization. - Hongyan Wu; Haiyun Guo; Qinghai Miao; Min Huang 009; Jinqiao Wang (MMM (2), 2022)

Trip Purposes Mining From Mobile Signaling Data. - Zhishuai Li; Gang Xiong 001; Zebing Wei; Yu Zhang; Meng Zheng; Xiaoli Liu 005; Sasu Tarkoma; Min Huang 009; Yisheng Lv; Chuheng Wu (IEEE Trans. Intell. Transp. Syst., 2022)

Instance-Proxy Loss for Semi-supervised Learning with Coarse Labels. - Hongyan Wu; Qinghai Miao; Haiyun Guo; Min Huang 009; Jinqiao Wang (PRCV (12), 2023)

Parallel Learning: Overview and Perspective for Computational Learning Across Syn2Real and Sim2Real. - Qinghai Miao; Yisheng Lv; Min Huang 009; Xiao Wang 014; Fei-Yue Wang 001 (IEEE CAA J. Autom. Sinica, 2023)

DAO to HANOI via DeSci: AI Paradigm Shifts from AlphaGo to ChatGPT. - Qinghai Miao; Wenbo Zheng; Yisheng Lv; Min Huang 009; Wenwen Ding; Fei-Yue Wang 001 (IEEE CAA J. Autom. Sinica, 2023)

DimA: A Parameter-efficient Fine-tuning Method with Knowledge Transfer Based on Transformer. - Wenxuan Zhang; Min Huang 009; Zhuoyang Song; Qinghai Miao (LREC/COLING, 2024)

Mitigating Spurious Correlations in Named Entity Recognition Models Through Counterfactual Data Augmentation. - Jiawei Liu; Min Huang 009; Qinghai Miao (IJCNN, 2024)

Parallel Learning for Legal Intelligence: A HANOI Approach Based on Unified Prompting. - Zhuoyang Song; Min Huang 009; Qinghai Miao; Fei-Yue Wang 001 (IEEE Trans. Comput. Soc. Syst., 2024)

Structural Dependence Learning Based on Self-attention for Face Alignment. - Biying Li; Zhiwei Liu 004; Wei Zhou; Haiyun Guo; Xin Wen 005; Min Huang 009; Jinqiao Wang (Mach. Intell. Res., 2024)