Zhongzhi Yu
8 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (24) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (5)
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Cross-Pollinator
(13)
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Renaissance Researcher
(5)
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Grand Slam
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Trend Setter
π₯
Unstoppable
(5)
Conferences
ICML (3)
NIPS (2)
AAAI (1)
CVPR (1)
ICLR (1)
Top co-authors
Keywords
efficient computing
(2)
vision transformer
(2)
representation learning
(1)
feature learning
(1)
adversarial robustness
(1)
few-shot learning
(1)
self-supervised learning
(1)
knowledge transfer
(1)
knowledge distillation
(1)
data augmentation
(1)
speech recognition
(1)
speech processing
(1)
automatic speech recognition
(1)
multilingual speech processing
(1)
multitask learning
(1)
model pruning
(1)
adaptive computation
(1)
foundation model
(1)
parameter-efficient fine-tuning
(1)
low-rank adaptation
(1)
Papers
LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models
ICML 2025
Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration
ICML 2024
AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment
NIPS 2024
Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning
ICML 2023
Hint-Aug: Drawing Hints From Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning
CVPR 2023
Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing
NIPS 2022
MIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation
AAAI 2022
HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark
ICLR 2021