Scholar
Shanshan Zhao
Google Scholar ID: TFp72vEAAAAJ
Alibaba
Citations & Impact
Citations
1,787
H-index
16
i10-index
23
Publications
20
Co-authors
24
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including:
- - Harnessing Text-to-Image Diffusion Models for Point Cloud Self-Supervised Learning
- - High-quality Pseudo-labeling for Point Cloud Segmentation with Scene-level Annotation
- - UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation
- - Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis
- - UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather
- - SimDistill: Simulated Multi-modal Distillation for BEV 3D Object Detection
- - ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding
- - All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation
- - Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation
- - Cross-modal & Cross-domain Learning for Unsupervised LiDAR Semantic Segmentation
- - Deep Corner
- - DeepSolo: Let Transformer Decoder with Explicit Points Solo for Text Spotting
- - MeshMAE: Masked Autoencoders
Research Experience
- Worked as a Researcher at JD Explore Academy and as an Engineer at HUAWEI (Hangzhou) Research Institute.
Education
- Obtained a PhD degree from The University of Sydney in 2022, supervised by Prof. Dacheng Tao and co-supervised by Prof. Mingming Gong; received a master's degree from the College of Computer Science and Technology, Zhejiang University in 2017, supervised by Prof. Xi Li; and a bachelor's degree in Network Engineering (Outstanding Engineer Plan) from Xidian University in 2014.
Background
- Currently a Researcher at Alibaba Group. Main research focus is on multi-modal generation and understanding.
