Jianhua Yao
17 papers · 2015–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (10) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (8) π Cross-Pollinator (9)
π
Cross-Pollinator
(9)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(29)
π
Grand Slam
π§¬
Topic Evolution
ποΈ
Keyword Collector
(59)
π
Century Club
(17)
π
Trend Setter
β‘
Prolific Year
(5)
Conferences
CVPR (4)
ICLR (3)
ICML (3)
NIPS (3)
AAAI (1)
ECCV (1)
IJCAI (1)
JMLR (1)
Top co-authors
Keywords
medical imaging
(3)
multiple instance learning
(3)
immune repertoire
(2)
convolutional neural network
(2)
recurrent neural network
(2)
variational autoencoder
(2)
domain adaptation
(1)
domain generalization
(1)
image classification
(1)
uncertainty quantification
(1)
noisy label learning
(1)
self-supervised learning
(1)
feature selection
(1)
weakly supervised learning
(1)
semi-supervised learning
(1)
label disambiguation
(1)
deep learning
(1)
latent dirichlet allocation
(1)
image interpretation
(1)
subpopulation shift
(1)
Papers
IgGM: A Generative Model for Functional Antibody and Nanobody Design
ICLR 2025
Steering Protein Language Models
ICML 2025
Atomas: Hierarchical Adaptive Alignment on Molecule-Text for Unified Molecule Understanding and Generation
ICLR 2025
DePLM: Denoising Protein Language Models for Property Optimization
NIPS 2024
Knowledge-aware Reinforced Language Models for Protein Directed Evolution
ICML 2024
A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification
AAAI 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
TreeMoCo: Contrastive Neuron Morphology Representation Learning
NIPS 2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup
NIPS 2022
Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification
CVPR 2022
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images
ECCV 2022
Towards Better Understanding and Better Generalization of Low-shot Classification in Histology Images with Contrastive Learning
ICLR 2022
Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution
CVPR 2020
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation
CVPR 2016
Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation
JMLR 2016
Interleaved Text/Image Deep Mining on a Very Large-Scale Radiology Database
CVPR 2015