Fewer is More: Image Segmentation Based Weakly Supervised Object Detection with Partial Aggregation. - Ce Ge; Jingyu Wang 001; Qi Qi 001; Haifeng Sun 001; Jianxin Liao (BMVC, 2018)

Users Personalized Sketch-Based Image Retrieval Using Deep Transfer Learning. - Qiming Huo; Jingyu Wang 001; Qi Qi 001; Haifeng Sun 001; Ce Ge; Yu Zhao 006 (KSEM (1), 2018)

MindCamera: Interactive Sketch-Based Image Retrieval and Synthesis. - Jingyu Wang 001; Yu Zhao 006; Qi Qi 001; Qiming Huo; Jian Zou; Ce Ge; Jianxin Liao (IEEE Access, 2018)

OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks. - Jiashi Li; Qi Qi 001; Jingyu Wang 001; Ce Ge; Yujian Li; Zhangzhang Yue; Haifeng Sun 001 (CVPR, 2019)

Towards automatic visual inspection: A weakly supervised learning method for industrial applicable object detection. - Ce Ge; Jing Wang 039; Jingyu Wang 001; Qi Qi 001; Haifeng Sun 001; Jianxin Liao (Comput. Ind., 2020)

DLA-Net for FG-SBIR: Dynamic Local Aligned Network for Fine-Grained Sketch-Based Image Retrieval. - Jiaqing Xu; Haifeng Sun 001; Qi Qi 001; Jingyu Wang 001; Ce Ge; Lejian Zhang; Jianxin Liao (ACM Multimedia, 2021)

Entropy-Driven Mixed-Precision Quantization for Deep Network Design. - Zhenhong Sun; Ce Ge; Junyan Wang 001; Ming C. Lin; Hesen Chen; Hao Li 030; Xiuyu Sun (NeurIPS, 2022)

DLI-Net: Dual Local Interaction Network for Fine-Grained Sketch-Based Image Retrieval. - Haifeng Sun 001; Jiaqing Xu; Jingyu Wang 001; Qi Qi 001; Ce Ge; Jianxin Liao (IEEE Trans. Circuits Syst. Video Technol., 2022)

Exploring Local Detail Perception for Scene Sketch Semantic Segmentation. - Ce Ge; Haifeng Sun 001; Yi-Zhe Song; Zhanyu Ma; Jianxin Liao (IEEE Trans. Image Process., 2022)

Scene-Level Sketches for Semantic Segmentation. - Ce Ge (IEEE DataPort, 2022)

Freehand-Scene. - Ce Ge (IEEE DataPort, 2022)

TUB-Scene. - Ce Ge (IEEE DataPort, 2022)

SKY-Scene. - Ce Ge (IEEE DataPort, 2022)

Scene-Level Sketch-Based Image Retrieval with Minimal Pairwise Supervision. - Ce Ge; Jingyu Wang 001; Qi Qi 001; Haifeng Sun 001; Tong Xu 002; Jianxin Liao (AAAI, 2023)

Semi-transductive Learning for Generalized Zero-Shot Sketch-Based Image Retrieval. - Ce Ge; Jingyu Wang 001; Qi Qi 001; Haifeng Sun 001; Tong Xu 002; Jianxin Liao (AAAI, 2023)

PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search. - Haibin Wang; Ce Ge; Hesen Chen; Xiuyu Sun (ICML, 2023)

Data-Juicer: A One-Stop Data Processing System for Large Language Models. - Daoyuan Chen; Yilun Huang 004; Zhijian Ma; Hesen Chen; Xuchen Pan; Ce Ge; Dawei Gao; Yuexiang Xie; Zhaoyang Liu 003; Jinyang Gao; Yaliang Li; Bolin Ding; et al. (SIGMOD Conference Companion, 2024)

Data Mixing Made Efficient: A Bivariate Scaling Law for Language Model Pretraining. - Ce Ge; Zhijian Ma; Daoyuan Chen; Yaliang Li; Bolin Ding (CoRR, 2024)

Data-Juicer Sandbox: A Comprehensive Suite for Multimodal Data-Model Co-development. - Daoyuan Chen; Haibin Wang; Yilun Huang 004; Ce Ge; Yaliang Li; Bolin Ding; Jingren Zhou 001 (CoRR, 2024)

Data-Juicer 2.0: Cloud-Scale Adaptive Data Processing for Foundation Models. - Daoyuan Chen; Yilun Huang 004; Xuchen Pan; Nana Jiang; Haibin Wang; Ce Ge; Yushuo Chen; Wenhao Zhang; Zhijian Ma; Yilei Zhang; Jun Huang 007; Wei Lin 016; et al. (CoRR, 2025)