Chaoyang He
11 papers · 2020–2024 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (31) π Conference Polyglot (6) π Interdisciplinary Bridge π£ Hot Topic Early Bird
π
Conference Polyglot
(6)
π₯
Mega-Team
(24)
π
Trend Setter
π₯
Unstoppable
(5)
π
Century Club
(11)
ποΈ
Keyword Collector
(59)
Conferences
NIPS (4)
AAAI (2)
EMNLP (2)
CVPR (1)
ICML (1)
NAACL (1)
Top co-authors
Keywords
federated learning
(5)
non-iid datum
(2)
model compression
(2)
edge computing
(2)
data-free learning
(1)
hyperparameter optimization
(1)
text classification
(1)
neural architecture search
(1)
multi-task learning
(1)
sequence tagging
(1)
question answering
(1)
efficient inference
(1)
query efficiency
(1)
neural network optimization
(1)
gradient descent
(1)
model serving
(1)
resource allocation
(1)
distributed training
(1)
expert selection
(1)
knowledge distillation
(1)
Papers
TensorOpera Router: A Multi-Model Router for Efficient LLM Inference
EMNLP 2024
ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency
EMNLP 2024
FairFed: Enabling Group Fairness in Federated Learning
AAAI 2023
A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks
NIPS 2023
FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks
NAACL 2022
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
NIPS 2022
SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data
AAAI 2022
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
NIPS 2021
PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models
ICML 2021
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation
CVPR 2020
Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge
NIPS 2020