Bing He
9 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (31) 🌈 Renaissance Researcher (6)
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Keyword Collector
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Research topics
Machine Learning
(8)
Deep Learning
(6)
Core Methods
(5)
Computer Vision
(3)
Architectures
(3)
Learning Types · Deep Learning
(3)
Learning Types · Machine Learning
(3)
Artificial Intelligence
(2)
Core AI
(2)
Optimization & Theory · Machine Learning
(2)
Optimization & Theory · Deep Learning
(2)
Processing
(2)
Computer Science
(1)
Healthcare & Medicine
(1)
Mathematics & Optimization
(1)
Keywords
multiple instance learning
(2)
immune repertoire
(2)
learned image compression
(2)
cloud computing
(2)
feature extraction
(1)
computer vision
(1)
metric learning
(1)
knowledge distillation
(1)
binary classification
(1)
multimodal learning
(1)
feature embedding
(1)
image compression
(1)
deep learning
(1)
label disambiguation
(1)
noisy label learning
(1)
sequence classification
(1)
heuristic search
(1)
resource allocation
(1)
receptive field
(1)
object detection
(1)
Papers
Adaptive Learned Image Compression with Graph Neural Networks
CVPR 2026
DVLA: Dynamic VM Lifetime Aware Scheduling for Drifting Lifetime Distributions and Long-Lived VM Placement Debt (Operational Systems)
OSDI 2026
Knowledge Distillation for Learned Image Compression
ICCV 2025
Steering Protein Language Models
ICML 2025
A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification
AAAI 2024
A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification
IJCAI 2023
Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems
AAAI 2021
PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector
AAAI 2021
Part-Regularized Near-Duplicate Vehicle Re-Identification
CVPR 2019