Zhixiang Chi
18 papers · 2020–2026 · 8 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (40)
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Topic Evolution
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Dynamic Duo
(16)
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Keyword Collector
(70)
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Research topics
Machine Learning
(11)
Artificial Intelligence
(9)
Deep Learning
(8)
Learning Types Β· Deep Learning
(7)
Learning Types Β· Machine Learning
(6)
Computer Vision
(5)
Core AI
(5)
Learning Paradigms Β· Artificial Intelligence
(5)
Learning Paradigms Β· Machine Learning
(5)
Application Areas
(3)
Core Methods
(3)
Processing
(3)
Analysis
(2)
Computer Science
(1)
Applications
(1)
Keywords
test-time adaptation
(5)
self-supervised learning
(3)
domain adaptation
(3)
continual learning
(2)
bilevel optimization
(2)
contrastive learning
(2)
auxiliary learning
(2)
few-shot learning
(2)
knowledge distillation
(2)
online learning
(1)
attention mechanism
(1)
action recognition
(1)
feature quantization
(1)
batch normalization
(1)
class-incremental learning
(1)
image restoration
(1)
image reconstruction
(1)
code generation
(1)
chain-of-thought reasoning
(1)
domain generalization
(1)
Papers
Bridging the Modality Gap in Compositional Zero-Shot Learning via Sparse Alignment and Unimodal Memory Bank
CVPR 2026
ETR: Entropy Trend Reward for Efficient Chain-of-Thought Reasoning
ACL 2026
TALON: Test-time Adaptive Learning for On-the-Fly Category Discovery
CVPR 2026
Widget2Code: From Visual Widgets to UI Code via Multimodal LLMs
CVPR 2026
Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation
ICLR 2025
Plug-in Feedback Self-adaptive Attention in CLIP for Training-free Open-Vocabulary Segmentation
ICCV 2025
Adapting to Distribution Shift by Visual Domain Prompt Generation
ICLR 2024
Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams
ECCV 2024
Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization
AAAI 2024
Hyper-Skin: A Hyperspectral Dataset for Reconstructing Facial Skin-Spectra from RGB Images
NeurIPS 2023
Meta-Auxiliary Learning for Future Depth Prediction in Videos
WACV 2023
MetaGCD: Learning to Continually Learn in Generalized Category Discovery
ICCV 2023
Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay
ECCV 2022
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts
NeurIPS 2022
MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning
CVPR 2022
Self-Supervised Spatiotemporal Representation Learning by Exploiting Video Continuity
AAAI 2022
Test-Time Fast Adaptation for Dynamic Scene Deblurring via Meta-Auxiliary Learning
CVPR 2021
All at Once: Temporally Adaptive Multi-Frame Interpolation with Advanced Motion Modeling
ECCV 2020