Scholar
Qiangqiang Wu
Google Scholar ID: hNO_FXIAAAAJ
Postdoc, City University of Hong Kong, Princeton University
Computer Vision
Self-Supervised Temporal Representation Learning
Healthcare AI
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Citations & Impact
All-time
Citations
723
H-index
12
i10-index
14
Publications
20
Co-authors
0
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No contact links provided.
Publications
11 items
M2P: Improving Visual Foundation Models with Mask-to-Point Weakly-Supervised Learning for Dense Point Tracking
2026
Cited
0
Order-Aware Test-Time Adaptation: Leveraging Temporal Dynamics for Robust Streaming Inference
2026
Cited
0
MGCA-Net: Multi-Graph Contextual Attention Network for Two-View Correspondence Learning
2025
Cited
0
ViSS-R1: Self-Supervised Reinforcement Video Reasoning
2025
Cited
0
Sparse by Rule: Probability-Based N:M Pruning for Spiking Neural Networks
2025
Cited
0
Learning from Dense Events: Towards Fast Spiking Neural Networks Training via Event Dataset Distillatio
2025
Cited
0
SAVER: Mitigating Hallucinations in Large Vision-Language Models via Style-Aware Visual Early Revision
2025
Cited
0
Temporal Unlearnable Examples: Preventing Personal Video Data from Unauthorized Exploitation by Object Tracking
2025
Cited
0
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Resume (English only)
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0 total
Co-authors: 0 (list not available)
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