Hang Liu
11 papers · 2020–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (8) π Academic Marathon (5)
π
Renaissance Researcher
(7)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(30)
π
Century Club
(11)
β‘
Prolific Year
(5)
Conferences
EMNLP (3)
ACL (2)
CORL (1)
ICCV (1)
ICML (1)
IJCAI (1)
INTERSPEECH (1)
RSS (1)
Top co-authors
Research topics
Keywords
model pruning
(2)
privacy leakage
(2)
knowledge distillation
(2)
model compression
(2)
large language model
(2)
uncertainty quantification
(1)
bayesian inference
(1)
contrastive learning
(1)
source-free domain adaptation
(1)
speech recognition
(1)
information retrieval
(1)
distributed learning
(1)
privacy preservation
(1)
spoken language understanding
(1)
semantic segmentation
(1)
adversarial attack
(1)
data privacy
(1)
token efficiency
(1)
gaussian distribution
(1)
model calibration
(1)
Papers
Discrete-Time Hybrid Automata Learning: Legged Locomotion Meets Skateboarding
RSS 2025
A Survey of Uncertainty Estimation Methods on Large Language Models
ACL 2025
REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking
EMNLP 2025
Unlocking Constraints: Source-Free Occlusion-Aware Seamless Segmentation
ICCV 2025
RollingQ: Reviving the Cooperation Dynamics in Multimodal Transformer
ICML 2025
MBC: Multi-Brain Collaborative Control for Quadruped Robots
CORL 2024
Cross-modal Transfer Learning via Multi-grained Alignment for End-to-End Spoken Language Understanding
INTERSPEECH 2022
Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm
ACL 2022
Against Membership Inference Attack: Pruning is All You Need
IJCAI 2021
TAG: Gradient Attack on Transformer-based Language Models
EMNLP 2021
Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning
EMNLP 2020