Yonggang Wen
16 papers · 2016–2026 · 9 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (36) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Half
π
Renaissance Researcher
(6)
β
The Questioner
π
Century Club Β· Bronze
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Keyword Collector
(87)
Top co-authors
Research topics
Machine Learning
(14)
Learning Types Β· Machine Learning
(9)
Core Methods
(7)
Artificial Intelligence
(5)
Deep Learning
(5)
Application Areas
(5)
Optimization & Theory
(5)
Learning Paradigms Β· Artificial Intelligence
(4)
Learning Paradigms Β· Machine Learning
(4)
Learning Types Β· Deep Learning
(3)
Natural Language Processing
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Knowledge & Reasoning
(1)
Reinforcement Learning
(1)
Keywords
federated learning
(4)
non-iid data
(3)
representation learning
(2)
knowledge distillation
(2)
distance metric learning
(2)
resource utilization
(2)
distributed learning
(2)
multi-task learning
(2)
heterogeneous transfer learning
(2)
link prediction
(1)
manifold regularization
(1)
transfer learning
(1)
policy gradient
(1)
uncertainty quantification
(1)
catastrophic forgetting
(1)
unsupervised learning
(1)
binary classification
(1)
natural language inference
(1)
online learning
(1)
knowledge transfer
(1)
Papers
Physics-Informed Multi-Task Learning for Battery State of Health Prediction with Uncertainty Quantification
AAAI 2026
Characterization of Large Language Model Development in the Datacenter
NSDI 2024
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases
ICML 2024
Joint Input and Output Coordination for Class-Incremental Learning
IJCAI 2024
Discriminative Reasoning with Sparse Event Representation for Document-level Event-Event Relation Extraction
ACL 2023
FedABC: Targeting Fair Competition in Personalized Federated Learning
AAAI 2023
Hydro: Surrogate-Based Hyperparameter Tuning Service in Datacenters
OSDI 2023
MAS: Towards Resource-Efficient Federated Multiple-Task Learning
ICCV 2023
Divergence-aware Federated Self-Supervised Learning
ICLR 2022
Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion
ACL 2021
Collaborative Unsupervised Visual Representation Learning From Decentralized Data
ICCV 2021
Privacy-Preserving Collaborative Learning With Automatic Transformation Search
CVPR 2021
Online Heterogeneous Transfer Metric Learning
IJCAI 2018
Exploiting High-Order Information in Heterogeneous Multi-Task Feature Learning
IJCAI 2017
General Heterogeneous Transfer Distance Metric Learning via Knowledge Fragments Transfer
IJCAI 2017
On Combining Side Information and Unlabeled Data for Heterogeneous Multi-Task Metric Learning
IJCAI 2016