Yun Song
10 papers · 2017–2026 · 5 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(6)
Deep Learning
(5)
Artificial Intelligence
(4)
Computer Vision
(4)
Core Methods
(4)
Core AI
(3)
Learning Types
(3)
Processing
(3)
Architectures
(2)
Domain-Specific
(2)
Techniques
(2)
Computer Science
(1)
Interdisciplinary
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Keywords
point cloud compression
(2)
large language model
(2)
just recognizable distortion
(2)
legal intelligence
(2)
autonomous driving
(2)
object detection
(1)
feature extraction
(1)
semi-supervised learning
(1)
3d scene understanding
(1)
spiking neural network
(1)
image compression
(1)
instance segmentation
(1)
tensor decomposition
(1)
feature representation
(1)
transfer learning
(1)
noise robustness
(1)
population genetics
(1)
likelihood-free inference
(1)
evaluation framework
(1)
synthetic data generation
(1)
Papers
Firing Bits Where It Matters: Spiking-Guided Just Recognizable Distortion Modeling for Machine-Centric Video Coding
AAAI 2026
Perceive More with Less: LiDAR Point Cloud Compression at Just Recognizable Distortion for 3D Scene Understanding
AAAI 2026
Ready Jurist One: Benchmarking Language Agents for Legal Intelligence in Dynamic Environments
ACL 2026
The Last Byte: Learning Just Enough for Machine-Oriented Image Compression
AAAI 2026
Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction
NAACL 2025
msLPCC: A Multimodal-Driven Scalable Framework for Deep LiDAR Point Cloud Compression
AAAI 2024
CELLE-2: Translating Proteins to Pictures and Back with a Bidirectional Text-to-Image Transformer
NeurIPS 2023
Evaluating Protein Transfer Learning with TAPE
NeurIPS 2019
A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks
NeurIPS 2018
Tensor Decompositions via Two-Mode Higher-Order SVD (HOSVD)
AISTATS 2017