Ce Ge (戈策)
About
I am currently a Algorithm Engineer II at Tongyi Lab, Alibaba Group. My recent research focuses on data-centric AI systems, including large language models (LLMs), multimodal learning (MLLM), and efficient deep learning.
Contact:
cege.sci (at) gmail (dot) com
gece (at) foxmail (dot) com
Education
Ph.D., 2016 – 2022, School of Computer Science, Beijing University of Posts and Telecommunications. Supervisor: Prof. Jianxin Liao
Visiting researcher, 2019 – 2020, SketchX Lab, University of Surrey. Advisor: Prof. Yi-Zhe Song
B.E., 2012 - 2016, School of Computer Science, Beijing University of Posts and Telecommunications.
Projects
Data-Juicer
Principal developer in the founding team, focusing on multimodal operators, inference acceleration, and model evaluation.
Led and organized BetterMixture challenge on Tianchi, the second event in the Data-Juicer for LLMs series.
TinyNAS
Designed PreNAS framework for one-shot training of CNN and ViT models.
Developed QE-Score and QBR Algorithm for CNN architecture search with mixed-precision quantization.
https://github.com/alibaba/lightweight-neural-architecture-search
Selected Publications
Generative AI
Efficient Neural Architecture
PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search. ICML 2023. [pdf][code]
Haibin Wang, Ce Ge (co-first author), Hesen Chen, Xiuyu Sun
Entropy-Driven Mixed-Precision Quantization for Deep Network Design. NeurIPS 2022. [pdf] [code]
Zhenhong Sun, Ce Ge, Junyan Wang, Ming C. Lin, Hesen Chen, Hao Li, Xiuyu Sun
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks. CVPR 2019. [pdf] [code]
Jiashi Li, Qi Qi, Jingyu Wang, Ce Ge, Yujian Li, Zhangzhang Yue, Haifeng Sun
Image Recognition (Detection & Retrieval )
Scene-Level Sketch-Based Image Retrieval with Minimal Pairwise Supervision. AAAI 2023. [pdf]
Ce Ge, Jingyu Wang, Qi Qi, Haifeng Sun, Tong Xu, Jianxin Liao
Semi-transductive Learning for Generalized Zero-Shot Sketch-Based Image Retrieval. AAAI 2023. [pdf]
Ce Ge, Jingyu Wang, Qi Qi, Haifeng Sun, Tong Xu, Jianxin Liao
Exploring Local Detail Perception for Scene Sketch Semantic Segmentation. IEEE TIP 2022. [pdf] [code]
Ce Ge, Haifeng Sun, Yi-Zhe Song, Zhanyu Ma, Jianxin Liao
DLI-Net: Dual Local Interaction Network for Fine-Grained Sketch-Based Image Retrieval. IEEE TCSVT 2022. [pdf]
Haifeng Sun, Jiaqing Xu, Jingyu Wang, Qi Qi, Ce Ge, Jianxin Liao
DLA-Net for FG-SBIR: Dynamic Local Aligned Network for Fine-Grained Sketch-Based Image Retrieval. MM 2021. [pdf]
Jiaqing Xu, Haifeng Sun, Qi Qi, Jingyu Wang, Ce Ge, Lejian Zhang, Jianxin Liao
Towards Automatic Visual Inspection: A Weakly Supervised Learning Method for Industrial Applicable Object Detection. COMPUT IND 2020. [pdf] [code]
Ce Ge, Jing Wang, Jingyu Wang, Qi Qi, Haifeng Sun, Jianxin Liao
Fewer is More: Image Segmentation Based Weakly Supervised Object Detection with Partial Aggregation. BMVC 2018. [pdf]
Ce Ge, Jingyu Wang, Qi Qi, Haifeng Sun, Jianxin Liao