Scholar
Shuang Zeng
Google Scholar ID: _65KJlIAAAAJ
Peking University, Georgia Institute of Technology
Self-supervised Contrastive Learning
Medical Image Segmentation
Superpixel
Large Language Model
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Citations & Impact
All-time
Citations
60
H-index
3
i10-index
1
Publications
14
Co-authors
0
Contact
Email
stevezs@pku.edu.cn
GitHub
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Publications
25 items
ABot-PhysWorld: Interactive World Foundation Model for Robotic Manipulation with Physics Alignment
2026
Cited
0
MindDriver: Introducing Progressive Multimodal Reasoning for Autonomous Driving
2026
Cited
0
Geometry-as-context: Modulating Explicit 3D in Scene-consistent Video Generation to Geometry Context
2026
Cited
0
ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning
2026
Cited
0
MerNav: A Highly Generalizable Memory-Execute-Review Framework for Zero-Shot Object Goal Navigation
2026
Cited
0
Bridging Information Asymmetry: A Hierarchical Framework for Deterministic Blind Face Restoration
2026
Cited
1
Incorporating Self-Rewriting into Large Language Model Reasoning Reinforcement
2025
Cited
0
AdaTok: Adaptive Token Compression with Object-Aware Representations for Efficient Multimodal LLMs
2025
Cited
0
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Resume (English only)
Academic Achievements
Paper titled “Novel Extraction of Discriminative Fine-Grained Feature to Improve Retinal Vessel Segmentation” accepted by Image and Vision Computing
4 one-page abstracts accepted by IEEE BHI 2025 as poster presentations
Selected for IEEE BHI 2025 NSF-EMBS-Google Sponsored Young Professional NextGen Scholar Recognition
Won First Prize in the 33rd “Challenge Cup” May Fourth Youth Science Award Competition of Peking University
Attended AAAI 2025 as a co-author (Feb. 25 – Mar. 4, 2025)
Participated in CRIDC 2025 poster competition at Georgia Institute of Technology
Presented SuperCL work at the 22nd NSF International Summer Leadership Academy on Bio-X (May 27–June 2, 2025, Rhodes, Greece)
Published multiple journal papers on medical image segmentation and processing in venues including TMI (IF:9.8), TNNLS (IF:10.2), and IMAVIS (IF:4.2)
Co-authors
0 total
Co-authors: 0 (list not available)
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