Facial expression recognition based on LLENet. - Dan Meng 001; Guitao Cao; Zhihai He; Wenming Cao 001 (BIBM, 2016)

Automated human physical function measurement using constrained high dispersal network with SVM-linear. - Dan Meng 001; Guitao Cao; Xinyu Song; Weiting Chen; Wenming Cao 001 (BIBM, 2016)

Automatic fall detection of human in video using combination of features. - Kun Wang; Guitao Cao; Dan Meng 001; Weiting Chen; Wenming Cao 001 (BIBM, 2016)

Liver Fibrosis Classification Based on Transfer Learning and FCNet for Ultrasound Images. - Dan Meng 001; Libo Zhang 001; Guitao Cao; Wenming Cao 001; Guixu Zhang; Bing Hu 004 (IEEE Access, 2017)

Coreference Resolution with Syntax and Semantics. - Zhiyuan Ma; Dan Meng 001; Chao Kong; Liang Zhou; Mengfei Li; Wan Tao (WISA, 2022)

Temporal Knowledge Graph Embedding for Link Prediction. - Yi Zhang; Zhi Deng; Dan Meng 001; Liang Zhou; Mengfei Li; Qijie Liu; Chao Kong (WISA, 2022)

SAME: Sampling Attack in Multiplex Network Embedding. - Chao Kong; Dan Meng 001; Tao Liu; Mengfei Li; Qijie Liu; Liang Zhou; Pingfu Chao; Yi Zhang (ADMA (2), 2022)

t-PSI: Efficient Multi-party Private Set Intersection with Threshold. - Dan Meng 001; Zhihui Fu; Chao Kong; Yue Qi; Guitao Cao (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

When Adversarial Example Attacks Meet Vertical Federated Learning. - Dan Meng 001; Zhihui Fu; Chao Kong; Yue Qi; Guitao Cao (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

GENE: Global Enhanced Graph Neural Network Embedding for Session-Based Recommendation. - Xianlan Sun; Dan Meng 001; Xiangyun Gao; Liping Zhang; Chao Kong (WISA, 2023)

DINE: Dynamic Information Network Embedding for Social Recommendation. - Yi Zhang; Dan Meng 001; Liping Zhang; Chao Kong (WISA, 2023)

FedPerturb: Covert Poisoning Attack on Federated Learning via Partial Perturbation. - Tongsai Jin; Zhihui Fu; Dan Meng 001; Jun Wang 020; Yue Qi; Guitao Cao (ECAI, 2023)

Backdoor Attack Against Automatic Speaker Verification Models in Federated Learning. - Dan Meng 001; Xue Wang; Jun Wang 020 (ICASSP, 2023)

FedLRS: A Communication-Efficient Federated Learning Framework With Low-Rank and Sparse Decomposition. - Mingkai Luo; Dan Meng 001; Jun Wang 020; Yu Fang; Jiangyong Ying (ICPADS, 2023)

Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems. - Yuyuan Li; Chaochao Chen 001; Xiaolin Zheng; Yizhao Zhang; Zhongxuan Han; Dan Meng 001; Jun Wang 020 (ACM Multimedia, 2023)

Differentially Private Sparse Mapping for Privacy-Preserving Cross Domain Recommendation. - Weiming Liu 005; Xiaolin Zheng; Chaochao Chen 001; Mengling Hu; Xinting Liao; Fan Wang 020; Yanchao Tan; Dan Meng 001; Jun Wang 020 (ACM Multimedia, 2023)

UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition. - Yuyuan Li; Chaochao Chen 001; Yizhao Zhang; Weiming Liu 005; Lingjuan Lyu; Xiaolin Zheng; Dan Meng 001; Jun Wang 020 (NeurIPS, 2023)

AGNE: Attentional Graph Convolutional Network Embedding for Knowledge Concept Recommendation in MOOCs. - Jiahui Chen; Dan Meng 001; Xiangyun Gao; Liping Zhang; Chao Kong (WISA, 2024)

STRec: Social-Augmented Time-Aware Cross-Domain Sequential Recommendation. - Xiangyun Gao; Dan Meng 001; Xianlan Sun; Wei Wang 296; Haibei Zhu; Chao Kong (ISPA, 2024)

LoopAnimate: Loopable Salient Object Animation. - Fanyi Wang; Peng Liu; Haotian Hu; Dan Meng 001; Jingwen Su; Jinjin Xu; Yanhao Zhang; Xiaoming Ren; Zhiwang Zhang (MMAsia, 2024)

Post-Training Attribute Unlearning in Recommender Systems. - Chaochao Chen 001; Yizhao Zhang; Yuyuan Li; Dan Meng 001; Jun Wang 020; Xiaoli Zheng; Jianwei Yin (CoRR, 2024)

An End-Cloud Collaborative Federated Learning Debugging Framework for Data Heterogeneity. - Chao Kong; Dan Meng 001; Zhihui Fu; Ruiguang Pei; Junjie Wu; Haibei Zhu; Tong Zhan (J. Circuits Syst. Comput., 2025)

Temporal Fusion Network for Noisy Long-Time Series Industrial Data Processing. - Gongwen Li; Dan Meng 001; Jiahui Chen; Na Xia; Chao Kong (J. Circuits Syst. Comput., 2025)

Attention to Trajectory: Trajectory-Aware Open-Vocabulary Tracking. - Yunhao Li; Yifan Jiao; Dan Meng 001; Heng Fan 001; Libo Zhang 001 (CoRR, 2025)

AttMOT: Improving Multiple-Object Tracking by Introducing Auxiliary Pedestrian Attributes. - Yunhao Li; Zhen Xiao; Lin Yang; Dan Meng 001; Xin Zhou; Heng Fan 001; Libo Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)