Scholar
Jianghang Lin
Google Scholar ID: hxZ-5AkAAAAJ
Xiamen University
Multimodal Large Language Model
Vision-Language Model
Semi/Weakly-Supervised Learning
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Citations & Impact
All-time
Citations
197
H-index
5
i10-index
4
Publications
14
Co-authors
5
list available
Contact
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Publications
10 items
HieraVid: Hierarchical Token Pruning for Fast Video Large Language Models
2026
Cited
0
SEA-Vision: A Multilingual Benchmark for Comprehensive Document and Scene Text Understanding in Southeast Asia
2026
Cited
0
Referring Industrial Anomaly Segmentation
2026
Cited
0
Understanding What Is Not Said:Referring Remote Sensing Image Segmentation with Scarce Expressions
2025
Cited
0
Generate Aligned Anomaly: Region-Guided Few-Shot Anomaly Image-Mask Pair Synthesis for Industrial Inspection
2025
Cited
0
What You Perceive Is What You Conceive: A Cognition-Inspired Framework for Open Vocabulary Image Segmentation
2025
Cited
0
Pseudo-Label Quality Decoupling and Correction for Semi-Supervised Instance Segmentation
2025
Cited
0
S$^2$Teacher: Step-by-step Teacher for Sparsely Annotated Oriented Object Detection
2025
Cited
0
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Resume (English only)
Academic Achievements
Published 'Active Teacher for Semi-Supervised Object Detection' at CVPR 2022 (co-first author).
Published 'Weakly Supervised Open-Vocabulary Object Detection' at AAAI 2024.
Published 'Adaptive Selection based Referring Image Segmentation' at ACM MM 2024 (co-first author).
Published 'GOI: Find 3D Gaussians of Interest with an Optimizable Open-vocabulary Semantic-space Hyperplane' at ACM MM 2024.
Published 'EOV-Seg: Efficient Open-Vocabulary Panoptic Segmentation' at AAAI 2025 (co-first author).
Published 'Exploring Semantic Consistency and Style Diversity for Domain Generalized Semantic Segmentation' at AAAI 2025 (co-first author).
Published 'U-SAM: Upgrade Segment Anything Model With Semantic-Aware and Memory-Efficient' at ICASSP 2025.
Published 'What You Perceive Is What You Conceive: A Cognition-Inspired Framework for Open Vocabulary Image Segmentation' at ACM MM 2025.
Published 'Generate Aligned Anomaly: Region-Guided Few-Shot Anomaly Image-Mask Pair Synthesis for' at ACM MM 2025 (co-first author).
Research Experience
May 2025 - Present: Research Intern, Medical multimodal large model of ByteDance Soaring Star Talent Program, ByteDance, Shanghai, China.
Jan 2024 - May 2024: Research Intern, CATL, Ningde, China.
Dec 2022 - May 2023: Research Intern, CATL, Ningde, China.
Feb 2022 - Aug 2022: Research Intern under the supervision of Dr. Yunhang Shen, Tencent Youtu Lab, Shanghai, China.
Jul 2020 - Aug 2020: Development Intern, Ruijie Networks, Fuzhou, China.
Background
Research Interests: Computer Vision, Multimodal, and Machine Learning. Recently focused on Open Vocabulary Learning and Large Visual-Language Models.
Co-authors
5 total
Rongrong Ji 纪荣嵘
Professor, Xiamen University
Yunhang Shen 沈云航
Xiamen University
Yansong Qu 曲延松
XMU | BUAA
Co-author 4
Co-author 5
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