Xiaolong Ma
25 papers · 2020–2026 · 9 venues · across top CS/AI venues
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Research topics
Machine Learning
(20)
Deep Learning
(15)
Application Areas
(13)
Artificial Intelligence
(12)
Core AI Β· Artificial Intelligence
(12)
Optimization & Theory Β· Machine Learning
(11)
Techniques
(7)
Architectures
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Optimization & Theory Β· Deep Learning
(5)
Computer Vision
(3)
Core Methods
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Models
(2)
Analysis
(1)
Core AI Β· Computer Vision
(1)
Learning Types
(1)
Keywords
model compression
(11)
neural network pruning
(7)
neural network optimization
(6)
lottery ticket hypothesis
(5)
sparse training
(5)
neural network
(3)
network pruning
(2)
mobile inference
(2)
inference acceleration
(2)
concept erasure
(2)
dynamic sparse training
(2)
weight initialization
(2)
weight pruning
(2)
vision transformer
(2)
structured pruning
(2)
diffusion model
(2)
deep neural network
(2)
video super-resolution
(1)
model unlearning
(1)
knowledge distillation
(1)
Papers
Roots Beneath the Cut: Uncovering the Risk of Concept Revival in Pruning-Based Unlearning for Diffusion Models
CVPR 2026
Optimal Transport for Brain-Image Alignment: Unveiling Redundancy and Synergy in Neural Information Processing
ICCV 2025
Sculpting Memory: Multi-Concept Forgetting in Diffusion Models via Dynamic Mask and Concept-Aware Optimization
ICCV 2025
Your RAG is Unfair: Exposing Fairness Vulnerabilities in Retrieval-Augmented Generation via Backdoor Attacks
EMNLP 2025
Advancing Dynamic Sparse Training by Exploring Optimization Opportunities
ICML 2024
A Single-Step, Sharpness-Aware Minimization is All You Need to Achieve Efficient and Accurate Sparse Training
NeurIPS 2024
Data Overfitting for On-Device Super-Resolution with Dynamic Algorithm and Compiler Co-Design
ECCV 2024
NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization
ICLR 2024
Data Level Lottery Ticket Hypothesis for Vision Transformers
IJCAI 2023
Dynamic Sparsity Is Channel-Level Sparsity Learner
NeurIPS 2023
Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training
AAAI 2023
Rethinking Graph Lottery Tickets: Graph Sparsity Matters
ICLR 2023
Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting
CVPR 2023
CHEX: CHannel EXploration for CNN Model Compression
CVPR 2022
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets
ICML 2022
Effective Model Sparsification by Scheduled Grow-and-Prune Methods
ICLR 2022
SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning
ECCV 2022
You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding
ECCV 2022
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?
ICML 2021
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
NeurIPS 2021
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?
NeurIPS 2021
Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices
IJCAI 2021
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices
ECCV 2020
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates
AAAI 2020
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices
AAAI 2020