Xuan Shen
22 papers · 2021–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (11)
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(35)
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Interdisciplinary Bridge
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Conference Polyglot
(8)
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(10)
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Topic Evolution
π
Grand Slam
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Dynamic Duo
(20)
ποΈ
Keyword Collector
(97)
β
The Questioner
(2)
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Prolific Year
(5)
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Century Club
(20)
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Unstoppable
(5)
Conferences
AAAI (6)
IJCAI (4)
CVPR (3)
NIPS (3)
EMNLP (2)
ACL (1)
ECCV (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
model compression
(11)
inference acceleration
(3)
lottery ticket hypothesis
(3)
model efficiency
(3)
vision transformer
(3)
neural network pruning
(3)
image classification
(3)
efficient computing
(3)
neural architecture search
(3)
mobile inference
(2)
structured pruning
(2)
large language model
(2)
edge computing
(2)
weight initialization
(2)
weight pruning
(2)
neural network optimization
(2)
network pruning
(2)
state space model
(2)
sparse training
(2)
knowledge distillation
(1)
Papers
From Words to Pixels: A Comprehensive Survey on Large Language Models in Visual Segmentation
ACL 2026
OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive
AAAI 2026
FairSMOE: Mitigating Multi-Attribute Fairness Problem with Sparse Mixture-of-Experts
IJCAI 2025
Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment
AAAI 2025
LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers
AAAI 2025
Numerical Pruning for Efficient Autoregressive Models
AAAI 2025
QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge
CVPR 2025
Sparse Learning for State Space Models on Mobile
ICLR 2025
Pruning Foundation Models for High Accuracy without Retraining
EMNLP 2024
Exploring Token Pruning in Vision State Space Models
NIPS 2024
Rethinking Token Reduction for State Space Models
EMNLP 2024
Search for Efficient Large Language Models
NIPS 2024
Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge
AAAI 2024
DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network
CVPR 2023
Data Level Lottery Ticket Hypothesis for Vision Transformers
IJCAI 2023
Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training
AAAI 2023
SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning
ECCV 2022
Real-Time Portrait Stylization on the Edge
IJCAI 2022
Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices
IJCAI 2021
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?
ICML 2021
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?
NIPS 2021
NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration
CVPR 2021