Yunxin Liu
13 papers · 2013–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (34) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Topic Evolution
🗃️
Keyword Collector
(71)
📈
Trend Setter
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
🌈
Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(10)
Artificial Intelligence
(9)
Application Areas
(8)
Core AI
(8)
Deep Learning
(6)
Learning Types · Machine Learning
(4)
Computer Vision
(2)
Learning Paradigms
(2)
Learning Types · Deep Learning
(2)
Models
(2)
Optimization & Theory · Machine Learning
(2)
Optimization & Theory · Deep Learning
(2)
Computer Science
(1)
Knowledge & Reasoning
(1)
Natural Language Processing
(1)
Keywords
large language model
(2)
model compression
(2)
unsupervised learning
(1)
model quantization
(1)
representation learning
(1)
continual learning
(1)
offline reinforcement learning
(1)
feature representation
(1)
image generation
(1)
question answering
(1)
empirical study
(1)
policy learning
(1)
image-to-image translation
(1)
out-of-distribution generalization
(1)
constrained optimization
(1)
catastrophic forgetting
(1)
synthetic data generation
(1)
energy efficiency
(1)
reinforcement learning from human feedback
(1)
neural network compression
(1)
Papers
Benchmarking LLM’s Capability in Reasoning over Conflicting Web References
ACL 2026
Enhancing Agentic Textual Graph Retrieval with Synthetic Stepwise Supervision
ACL 2026
An Empirical Study of LLM Reasoning Ability Under Strict Output Length Constraint
EMNLP 2025
Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement
ACL 2025
Data Center Cooling System Optimization Using Offline Reinforcement Learning
ICLR 2025
Region-based Content Enhancement for Efficient Video Analytics at the Edge
NSDI 2025
SwapMoE: Serving Off-the-shelf MoE-based Large Language Models with Tunable Memory Budget
ACL 2024
FedTherapist: Mental Health Monitoring with User-Generated Linguistic Expressions on Smartphones via Federated Learning
EMNLP 2023
Representational Continuity for Unsupervised Continual Learning
ICLR 2022
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation
ICLR 2022
StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding
AAAI 2021
SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization
CVPR 2019
V-edge: Fast Self-constructive Power Modeling of Smartphones Based on Battery Voltage Dynamics
NSDI 2013