An Enhanced Framework for Real-Time Hair Animation. - Wenqi Liang; Zhiyong Huang (PG, 2003)

M2M-GAN: Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification. - Wenqi Liang; Guangcong Wang; Jianhuang Lai; Jun-Yong Zhu (CoRR, 2018)

Learnable Parameter Similarity. - Guangcong Wang; Jianhuang Lai; Wenqi Liang; Guangrun Wang (CoRR, 2019)

Smoothing Adversarial Domain Attack and P-Memory Reconsolidation for Cross-Domain Person Re-Identification. - Guangcong Wang; Jian-Huang Lai; Wenqi Liang; Guangrun Wang (CVPR, 2020)

Homogeneous-to-Heterogeneous: Unsupervised Learning for RGB-Infrared Person Re-Identification. - Wenqi Liang; Guangcong Wang; Jianhuang Lai; Xiaohua Xie (IEEE Trans. Image Process., 2021)

Understanding Weight Similarity of Neural Networks via Chain Normalization Rule and Hypothesis-Training-Testing. - Guangcong Wang; Guangrun Wang; Wenqi Liang; Jianhuang Lai (CoRR, 2022)

Heterogeneous Forgetting Compensation for Class-Incremental Learning. - Jiahua Dong 001; Wenqi Liang; Yang Cong; Gan Sun (ICCV, 2023)

Tiny-YOLOv7: Tiny Object Detection Model for Drone Imagery. - Pengchao Cheng; Xu Tang; Wenqi Liang; Yu Li; Wei Cong; Chuanzhi Zang (ICIG (3), 2023)

I3DOD: Towards Incremental 3D Object Detection via Prompting. - Wenqi Liang; Gan Sun; Chenxi Liu; Jiahua Dong 001; Kangru Wang (IROS, 2023)

Extended Application of Inertial Measurement Units in Biomechanics: From Activity Recognition to Force Estimation. - Wenqi Liang; Fanjie Wang; Ao Fan; Wenrui Zhao; Wei Yao; Pengfei Yang (Sensors, 2023)

Deep-learning model for the prediction of lower-limb joint moments using single inertial measurement unit during different locomotive activities. - Wenqi Liang; Fanjie Wang; Ao Fan; Wenrui Zhao; Wei Yao; Pengfei Yang (Biomed. Signal Process. Control., 2023)

Estimation of Lower Limb Joint Angles and Joint Moments during Different Locomotive Activities Using the Inertial Measurement Units and a Hybrid Deep Learning Model. - Fanjie Wang; Wenqi Liang; Hafiz Muhammad Rehan Afzal; Ao Fan; Wenjiong Li; Xiaoqian Dai; Shujuan Liu; Yiwei Hu; Zhili Li; Pengfei Yang (Sensors, 2023)

How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization? - Jiahua Dong 001; Wenqi Liang; Hongliu Li; Duzhen Zhang; Meng Cao 002; Henghui Ding; Salman H. Khan 001; Fahad Shahbaz Khan (NeurIPS, 2024)

Never-Ending Embodied Robot Learning. - Wenqi Liang; Gan Sun; Qian He; Yu Ren; Jiahua Dong 001; Yang Cong (CoRR, 2024)

Create Your World: Lifelong Text-to-Image Diffusion. - Gan Sun; Wenqi Liang; Jiahua Dong 001; Jun Li 027; Zhengming Ding; Yang Cong (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Scalable Federated One-Step Multi-View Clustering with Tensorized Regularization. - Wei Feng; Danting Liu; Qianqian Wang; Wenqi Liang; Zheng Yan (AAAI, 2025)

GLAM: Global-Local Variation Awareness in Mamba-based World Model. - Qian He; Wenqi Liang; Chunhui Hao; Gan Sun; Jiandong Tian (AAAI, 2025)

MuseumMaker: Continual Style Customization Without Catastrophic Forgetting. - Chenxi Liu; Gan Sun; Wenqi Liang; Jiahua Dong 001; Can Qin; Yang Cong (IEEE Trans. Image Process., 2025)