Chun Jason Xue
13 papers · 2020–2026 · 7 venues · across top CS/AI venues
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model compression
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whole slide image
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multiple instance learning
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attention mechanism
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inference optimization
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nested neural network
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variational inference
(1)
approximate inference
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model quantization
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medical imaging
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optimal transport
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autonomous driving
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trajectory prediction
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motion forecasting
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autoregressive transformer
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efficient inference
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uncertainty quantification
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natural language understanding
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vector quantization
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image compression
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Papers
Efficient GPU-Centric Evolving Graph Processing at Scale
OSDI 2026
LifeLine: An Object-Page Lifetime Alignment GC Enabling Minimal Memory Copying for Mobile Devices
OSDI 2026
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
WISE: A Framework for Gigapixel Whole-Slide-Image Lossless Compression
CVPR 2025
BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction
NeurIPS 2024
CHESS: Optimizing LLM Inference via Channel-Wise Thresholding and Selective Sparsification
EMNLP 2024
ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion
ICLR 2024
When Compression Meets Model Compression: Memory-Efficient Double Compression for Large Language Models
EMNLP 2024
Bayes-MIL: A New Probabilistic Perspective on Attention-based Multiple Instance Learning for Whole Slide Images
ICLR 2023
Retrieval-Augmented Multiple Instance Learning
NeurIPS 2023
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression
CVPR 2021
Fully Nested Neural Network for Adaptive Compression and Quantization
IJCAI 2020