An Automatic Clustering Algorithm Based on Region Segmentation. - Zhaowei Chen; Dongxia Chang; Yao Zhao 001 (IEEE Access, 2018)

A Seabed Real-Time Sensing System for In-Situ Long-Term Multi-Parameter Observation Applications. - Lanjun Liu; Zhibo Liao; Caiyi Chen; Jialin Chen; Jiong Niu; Yonggang Jia; Xiujun Guo; Zhaowei Chen; Li Deng; Haibo Xu; Tao Liu (Sensors, 2019)

Lane Detection in Low-light Conditions Using an Efficient Data Enhancement: Light Conditions Style Transfer. - Tong Liu; Zhaowei Chen; Yi Yang; Zehao Wu; Haowei Li (IV, 2020)

Item Ownership Relationship Semantic Learning Strategy for Personalized Service Robot. - Hao Wu 065; Zhaowei Chen; Guohui Tian; Qing Ma; Menglin Jia (Int. J. Autom. Comput., 2020)

Aspect-Based Sentiment Analysis Using Graph Convolutional Networks and Co-attention Mechanism. - Zhaowei Chen; Yun Xue; Luwei Xiao; Jinpeng Chen; Haolan Zhang 001 (ICONIP (6), 2021)

Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data. - Yuhao Chen; Xin Tan 002; Borui Zhao; Zhaowei Chen; Renjie Song; Jiajun Liang; Xuequan Lu (CVPR, 2023)

Geogcn: Geometric Dual-Domain Graph Convolution Network For Point Cloud Denoising. - Zhaowei Chen; Peng Li 064; Zeyong Wei; Honghua Chen; Haoran Xie 001; Mingqiang Wei; Fu Lee Wang (ICASSP, 2023)

The future of multi-terabit datacenter interconnects based on tight co-integration of photonics and electronics technologies. - Maria Spyropoulou; Giannis Kanakis; Giorgos Brestas; Yuqing Jiao; Salim Abdi; Zhaowei Chen; Desalegn Wolde Feyisa; Ripalta Stabile; Nicola Calabretta; Kevin A. Williams; Virginie Nodjiadjim; Romain Hersent; et al. (OFC, 2023)

HiDiffusion: Unlocking High-Resolution Creativity and Efficiency in Low-Resolution Trained Diffusion Models. - Shen Zhang; Zhaowei Chen; Zhenyu Zhao; Zhenyuan Chen; Yao Tang; Yuhao Chen; Wengang Cao; Jiajun Liang (CoRR, 2023)

Cascade Prompt Learning for Vision-Language Model Adaptation. - Ge Wu; Xin Zhang; Zheng Li 028; Zhaowei Chen; Jiajun Liang; Jian Yang 003; Xiang Li 041 (ECCV (50), 2024)

HiDiffusion: Unlocking Higher-Resolution Creativity and Efficiency in Pretrained Diffusion Models. - Shen Zhang; Zhaowei Chen; Zhenyu Zhao; Yuhao Chen; Yao Tang; Jiajun Liang (ECCV (51), 2024)

Revisiting Prompt Pretraining of Vision-Language Models. - Zhenyuan Chen; Lingfeng Yang; Shuo Chen 003; Zhaowei Chen; Jiajun Liang; Xiang Li 041 (CoRR, 2024)

LEDiT: Your Length-Extrapolatable Diffusion Transformer without Positional Encoding. - Shen Zhang; Yaning Tan; Siyuan Liang; Zhaowei Chen; Linze Li; Ge Wu; Yuhao Chen; Shuheng Li; Zhenyu Zhao; Caihua Chen; Jiajun Liang; Yao Tang (CoRR, 2025)

Asymmetric Decision-Making in Online Knowledge Distillation:Unifying Consensus and Divergence. - Zhaowei Chen; Borui Zhao; Yuchen Ge; Yuhao Chen; Renjie Song; Jiajun Liang (CoRR, 2025)

Representation Entanglement for Generation:Training Diffusion Transformers Is Much Easier Than You Think. - Ge Wu; Shen Zhang; Ruijing Shi; Shanghua Gao; Zhenyuan Chen; Lei Wang; Zhaowei Chen; Hongcheng Gao; Yao Tang; Jian Yang 003; Ming-Ming Cheng; Xiang Li 041 (CoRR, 2025)