Xiaolong Ma
24 papers · 2020–2025 · 9 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (9) 🏃 Academic Marathon (5) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🤝
Dynamic Duo
(13)
👑
Triple Crown
🏆
Grand Slam
🧬
Topic Evolution
💎
Century Club
(24)
⚡
Prolific Year
(5)
🗃️
Keyword Collector
(71)
❓
The Questioner
(2)
🔥
Unstoppable
(6)
Conferences
ECCV (4)
NIPS (4)
AAAI (3)
ICLR (3)
ICML (3)
CVPR (2)
ICCV (2)
IJCAI (2)
EMNLP (1)
Top co-authors
Keywords
model compression
(9)
neural network optimization
(6)
neural network pruning
(5)
sparse training
(5)
lottery ticket hypothesis
(4)
neural network
(3)
vision transformer
(2)
weight pruning
(2)
mobile inference
(2)
structured pruning
(2)
deep neural network
(2)
weight initialization
(2)
inference acceleration
(2)
human pose estimation
(1)
video super-resolution
(1)
network pruning
(1)
model unlearning
(1)
neural network compression
(1)
knowledge distillation
(1)
structured sparsity
(1)
Papers
Your RAG is Unfair: Exposing Fairness Vulnerabilities in Retrieval-Augmented Generation via Backdoor Attacks
EMNLP 2025
Sculpting Memory: Multi-Concept Forgetting in Diffusion Models via Dynamic Mask and Concept-Aware Optimization
ICCV 2025
Optimal Transport for Brain-Image Alignment: Unveiling Redundancy and Synergy in Neural Information Processing
ICCV 2025
Advancing Dynamic Sparse Training by Exploring Optimization Opportunities
ICML 2024
Data Overfitting for On-Device Super-Resolution with Dynamic Algorithm and Compiler Co-Design
ECCV 2024
A Single-Step, Sharpness-Aware Minimization is All You Need to Achieve Efficient and Accurate Sparse Training
NIPS 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
NIPS 2023
Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training
AAAI 2023
Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting
CVPR 2023
Rethinking Graph Lottery Tickets: Graph Sparsity Matters
ICLR 2023
SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning
ECCV 2022
CHEX: CHannel EXploration for CNN Model Compression
CVPR 2022
Effective Model Sparsification by Scheduled Grow-and-Prune Methods
ICLR 2022
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets
ICML 2022
You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding
ECCV 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
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
NIPS 2021
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?
NIPS 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