Chongyang Gao
19 papers · 2020–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (9) π Cross-Pollinator (10)
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Taxonomy Completionist
(49)
π
Interdisciplinary Bridge
π§
Keyword Pioneer
π€
Dynamic Duo
(12)
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(88)
π₯
Unstoppable
(7)
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Century Club
(19)
Conferences
NAACL (4)
EMNLP (3)
ICLR (3)
AAAI (2)
ICCV (2)
NIPS (2)
CVPR (1)
IJCAI (1)
WACV (1)
Top co-authors
Keywords
large language model
(3)
representation learning
(3)
visual question answering
(2)
mixture of expert
(2)
parameter-efficient fine-tuning
(2)
few-shot learning
(2)
semantic similarity
(2)
contrastive learning
(2)
low-rank adaptation
(2)
transfer learning
(2)
in-context learning
(2)
transformer model
(2)
text classification
(2)
multimodal learning
(2)
language model
(2)
multi-instance learning
(1)
adversarial learning
(1)
natural language processing
(1)
ensemble learning
(1)
link prediction
(1)
Papers
Exploiting Label-Independent Regularization from Spatial Patterns for Whole Slide Image Analysis
WACV 2026
MoLA: MoE LoRA with Layer-wise Expert Allocation
NAACL 2025
Assessing and Mitigating Medical Knowledge Drift and Conflicts in Large Language Models
EMNLP 2025
GODDS: The Global Online Deepfake Detection System
AAAI 2025
On Large Language Model Continual Unlearning
ICLR 2025
Semantic-Preserving Adversarial Example Attack against BERT
NAACL 2024
How to Configure Good In-Context Sequence for Visual Question Answering
CVPR 2024
AlphaLoRA: Assigning LoRA Experts Based on Layer Training Quality
EMNLP 2024
GEM: Generating Engaging Multimodal Content
IJCAI 2024
Improving Representation Learning for Histopathologic Images with Cluster Constraints
ICCV 2023
Bootstrapping Vision-Language Learning with Decoupled Language Pre-training
NIPS 2023
Knowledge Infused Decoding
ICLR 2022
Non-Parallel Text Style Transfer with Self-Parallel Supervision
ICLR 2022
Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings
NIPS 2022
Embedding Hallucination for Few-shot Language Fine-tuning
NAACL 2022
Contrastive Learning for Prompt-based Few-shot Language Learners
NAACL 2022
Auto-Parsing Network for Image Captioning and Visual Question Answering
ICCV 2021
Embedding Heterogeneous Networks into Hyperbolic Space Without Meta-path
AAAI 2021
An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data
EMNLP 2020