Ziqi Gao
17 papers · 2022–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (47) π₯ Mega-Team Β· Squad
π
Grand Slam
π₯
Mega-Team Β· Squad
π€
Dynamic Duo
(10)
π
Renaissance Researcher
(5)
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(90)
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Deep Learning
(13)
Machine Learning
(13)
Core Methods
(7)
Artificial Intelligence
(6)
Application Areas
(6)
Architectures
(6)
Learning Types Β· Deep Learning
(6)
Computer Vision
(5)
Learning Types Β· Machine Learning
(4)
Core AI
(3)
Learning Paradigms
(3)
Processing
(3)
Interdisciplinary
(2)
Analysis
(2)
Models
(2)
Keywords
graph neural network
(4)
low-rank adaptation
(3)
representation learning
(3)
video understanding
(2)
foundation model
(2)
model compression
(2)
visual grounding
(2)
domain adaptation
(2)
node classification
(2)
anomaly detection
(2)
domain generalization
(1)
visual perception
(1)
online clustering
(1)
policy gradient
(1)
matrix factorization
(1)
few-shot learning
(1)
cross-domain learning
(1)
image restoration
(1)
contrastive learning
(1)
medical imaging
(1)
Papers
Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding
CVPR 2026
Synthetic Object Compositions for Scalable and Accurate Learning in Detection, Segmentation, and Grounding
CVPR 2026
Unified Structural Factors for Transfer Learning Generalization with PAC-Bayesian Guarantees
AAAI 2026
DAP-MAE: Domain-Adaptive Point Cloud Masked Autoencoder for Effective Cross-Domain Learning
ICCV 2025
InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization
ICLR 2025
MS-Glance: Bio-Inspired Non-Semantic Context Vectors and their Applications in Supervising Image Reconstruction
WACV 2025
One Trajectory, One Token: Grounded Video Tokenization via Panoptic Sub-object Trajectory
ICCV 2025
Parameter-Efficient Fine-Tuning via Circular Convolution
ACL 2025
Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps
ACL 2025
Deep Reinforcement Learning for Modelling Protein Complexes
ICLR 2024
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform
ICML 2024
Protein Multimer Structure Prediction via Prompt Learning
ICLR 2024
Towards Stable Representations for Protein Interface Prediction
NeurIPS 2024
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection
NeurIPS 2023
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder
AAAI 2023
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification
AAAI 2023
Rethinking Graph Neural Networks for Anomaly Detection
ICML 2022