Xupeng Miao
17 papers · 2022–2026 · 10 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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(5)
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Research topics
Machine Learning
(14)
Deep Learning
(10)
Application Areas
(8)
Optimization & Theory Β· Machine Learning
(7)
Learning Types
(6)
Artificial Intelligence
(5)
Core AI Β· Artificial Intelligence
(4)
Optimization & Theory Β· Deep Learning
(4)
Computer Science
(3)
Computer Vision
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Mathematics & Optimization
(2)
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(2)
Core AI Β· Computer Vision
(2)
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(2)
Keywords
distributed training
(4)
model parallelism
(3)
document retrieval
(2)
large language model
(2)
parameter-efficient fine-tuning
(2)
contrastive learning
(2)
tensor program
(2)
mixture of expert
(2)
semantic search
(2)
zero-shot learning
(2)
attention mechanism
(1)
text-to-image generation
(1)
visual representation
(1)
image editing
(1)
few-shot learning
(1)
representation learning
(1)
point cloud
(1)
dense retrieval
(1)
distributed learning
(1)
neural network optimization
(1)
Papers
FlexLLM: Token-Level Co-Serving of LLM Inference and Finetuning with SLO Guarantees
NSDI 2026
Hetu v2: A General and Scalable Deep Learning System with Hierarchical and Heterogeneous Single Program Multiple Data Annotations
OSDI 2026
MPK: A Compiler and Runtime for Mega-Kernelizing Tensor Programs
OSDI 2026
Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs
ICML 2025
Mirage: A Multi-Level Superoptimizer for Tensor Programs
OSDI 2025
NetMoE: Accelerating MoE Training through Dynamic Sample Placement
ICLR 2025
Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference
AAAI 2024
Generative Dense Retrieval: Memory Can Be a Burden
EACL 2024
LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing
NeurIPS 2024
Parcae: Proactive, Liveput-Optimized DNN Training on Preemptible Instances
NSDI 2024
Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models
ACL 2024
X-former Elucidator: Reviving Efficient Attention for Long Context Language Modeling
IJCAI 2024
CALIP: Zero-Shot Enhancement of CLIP with Parameter-Free Attention
AAAI 2023
EINNET: Optimizing Tensor Programs with Derivation-Based Transformations
OSDI 2023
Model-enhanced Vector Index
NeurIPS 2023
OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning
IJCAI 2023
PointCLIP: Point Cloud Understanding by CLIP
CVPR 2022