Ziqi Gao
15 papers · 2022–2026 · 7 conferences · across top CS/AI conferences
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AAAI (3)
ICLR (3)
ACL (2)
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ICML (2)
NIPS (2)
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Top co-authors
Keywords
representation learning
(3)
graph neural network
(3)
anomaly detection
(2)
domain adaptation
(2)
node classification
(2)
model compression
(2)
low-rank adaptation
(2)
medical imaging
(1)
online clustering
(1)
transfer learning
(1)
visual perception
(1)
graph anomaly detection
(1)
matrix factorization
(1)
cross-domain learning
(1)
domain generalization
(1)
image reconstruction
(1)
3d vision
(1)
point cloud
(1)
video understanding
(1)
supervised learning
(1)
Papers
Unified Structural Factors for Transfer Learning Generalization with PAC-Bayesian Guarantees
AAAI 2026
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
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
Deep Reinforcement Learning for Modelling Protein Complexes
ICLR 2024
Towards Stable Representations for Protein Interface Prediction
NIPS 2024
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform
ICML 2024
Protein Multimer Structure Prediction via Prompt Learning
ICLR 2024
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification
AAAI 2023
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder
AAAI 2023
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection
NIPS 2023
Rethinking Graph Neural Networks for Anomaly Detection
ICML 2022