Chun Jason Xue
11 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (8)
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Conference Polyglot
(6)
🏃
Academic Marathon
(5)
🐝
Cross-Pollinator
(8)
📈
Trend Setter
🗃️
Keyword Collector
(61)
💎
Century Club
(11)
Conferences
EMNLP (3)
CVPR (2)
ICLR (2)
NIPS (2)
ACL (1)
IJCAI (1)
Top co-authors
Keywords
model compression
(5)
whole slide image
(2)
inference optimization
(2)
nested neural network
(2)
variational inference
(1)
domain adaptation
(1)
model quantization
(1)
medical imaging
(1)
autoregressive transformer
(1)
autonomous driving
(1)
trajectory prediction
(1)
motion forecasting
(1)
image compression
(1)
efficient inference
(1)
model pruning
(1)
optimal transport
(1)
vector quantization
(1)
bayesian approach
(1)
model inference
(1)
multiple instance learning
(1)
Papers
WISE: A Framework for Gigapixel Whole-Slide-Image Lossless Compression
CVPR 2025
A2ATS: Retrieval-Based KV Cache Reduction via Windowed Rotary Position Embedding and Query-Aware Vector Quantization
ACL 2025
MLWQ: Efficient Small Language Model Deployment via Multi-Level Weight Quantization
EMNLP 2025
When Compression Meets Model Compression: Memory-Efficient Double Compression for Large Language Models
EMNLP 2024
ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion
ICLR 2024
BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction
NIPS 2024
CHESS: Optimizing LLM Inference via Channel-Wise Thresholding and Selective Sparsification
EMNLP 2024
Retrieval-Augmented Multiple Instance Learning
NIPS 2023
Bayes-MIL: A New Probabilistic Perspective on Attention-based Multiple Instance Learning for Whole Slide Images
ICLR 2023
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression
CVPR 2021
Fully Nested Neural Network for Adaptive Compression and Quantization
IJCAI 2020