Yuan Zhao
18 papers · 2016–2026 · 8 conferences · across top CS/AI conferences
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π Academic Marathon (9) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (8) π Cross-Pollinator (14)
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Conference Polyglot
(8)
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(14)
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Prolific Year
(5)
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Keyword Collector
(77)
Conferences
ACL (5)
AAAI (4)
NIPS (3)
ICLR (2)
EACL (1)
EMNLP (1)
ICML (1)
WACV (1)
Top co-authors
Keywords
large language model
(4)
dynamical system
(3)
text classification
(3)
gaussian process
(2)
variational inference
(2)
model compression
(2)
euphemism disambiguation
(2)
rank compression
(2)
time series
(2)
cross-lingual transfer
(2)
label smoothing
(1)
privacy preservation
(1)
multimodal learning
(1)
instruction tuning
(1)
ensemble learning
(1)
zero-shot learning
(1)
neural modeling
(1)
in-context learning
(1)
message passing
(1)
data augmentation
(1)
Papers
Co-EPG: A Framework for Co-Evolution of Planning and Grounding in Autonomous GUI Agents
AAAI 2026
Towards Authentic Movie Dubbing with Retrieve-Augmented Director-Actor Interaction Learning
AAAI 2026
Importance-Aware Data Selection for Efficient LLM Instruction Tuning
AAAI 2026
Interpretability of LLM Classifiers via the Rational Inattention Theory with Application to Hate Speech Detection
ACL 2026
ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression
AAAI 2025
GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models
ACL 2025
Layer-wise Importance Matters: Less Memory for Better Performance in Parameter-efficient Fine-tuning of Large Language Models
EMNLP 2024
eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling
NIPS 2024
Utilizing an Ensemble Model with Anomalous Label Smoothing to Detect Generated Scientific Papers
ACL 2024
Enhancing Cross-Lingual Emotion Detection with Data Augmentation and Token-Label Mapping
ACL 2024
MEDs for PETs: Multilingual Euphemism Disambiguation for Potentially Euphemistic Terms
EACL 2024
Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection
ICLR 2023
Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains
ICML 2023
Proactive Deepfake Defence via Identity Watermarking
WACV 2023
Real-time variational method for learning neural trajectory and its dynamics
ICLR 2023
FEED PETs: Further Experimentation and Expansion on the Disambiguation of Potentially Euphemistic Terms
ACL 2023
Rescuing neural spike train models from bad MLE
NIPS 2020
Interpretable Nonlinear Dynamic Modeling of Neural Trajectories
NIPS 2016