Jianhua Yao
17 papers · 2015–2025 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (37) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Topic Evolution
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Keyword Pioneer
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Grand Slam
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Century Club Β· Bronze
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Renaissance Researcher
(6)
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Prolific Year Β· Productive
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Keyword Collector
(89)
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Trend Setter
Top co-authors
Research topics
Machine Learning
(13)
Deep Learning
(9)
Learning Types Β· Machine Learning
(9)
Artificial Intelligence
(5)
Natural Language Processing
(5)
Architectures
(5)
Computer Vision
(4)
Healthcare & Medicine
(4)
Core AI
(4)
Core Methods
(4)
Domain-Specific
(4)
Optimization & Theory
(4)
Learning Types Β· Deep Learning
(3)
Clinical
(2)
Generation
(2)
Keywords
medical imaging
(3)
multiple instance learning
(3)
protein language model
(3)
variational autoencoder
(2)
representation learning
(2)
contrastive learning
(2)
convolutional neural network
(2)
recurrent neural network
(2)
immune repertoire
(2)
domain adaptation
(1)
self-supervised learning
(1)
noisy label learning
(1)
domain generalization
(1)
weakly supervised learning
(1)
image classification
(1)
uncertainty quantification
(1)
deep learning
(1)
feature selection
(1)
subpopulation shift
(1)
cross-modal learning
(1)
Papers
Atomas: Hierarchical Adaptive Alignment on Molecule-Text for Unified Molecule Understanding and Generation
ICLR 2025
IgGM: A Generative Model for Functional Antibody and Nanobody Design
ICLR 2025
Steering Protein Language Models
ICML 2025
A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification
AAAI 2024
DePLM: Denoising Protein Language Models for Property Optimization
NeurIPS 2024
Knowledge-aware Reinforced Language Models for Protein Directed Evolution
ICML 2024
StableMask: Refining Causal Masking in Decoder-only Transformer
ICML 2024
A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification
IJCAI 2023
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images
ECCV 2022
Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification
CVPR 2022
Towards Better Understanding and Better Generalization of Low-shot Classification in Histology Images with Contrastive Learning
ICLR 2022
TreeMoCo: Contrastive Neuron Morphology Representation Learning
NeurIPS 2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup
NeurIPS 2022
Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution
CVPR 2020
Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation
JMLR 2016
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation
CVPR 2016
Interleaved Text/Image Deep Mining on a Very Large-Scale Radiology Database
CVPR 2015