← Authors

Xue Lin

43 papers · 2019–2026 · 10 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (7) 🐝 Cross-Pollinator (6) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (56) πŸ”¬ Deep Specialist (15) 🀝 Dynamic Duo (26) πŸ† Grand Slam ❓ The Questioner (2) ⚑ Prolific Year (8) πŸš€ Conference Pioneer πŸ’Ž Century Club (43) πŸ—ƒοΈ Keyword Collector (158) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (8)

Conferences

IJCAI (9) AAAI (8) ICLR (5) NIPS (5) CVPR (4) ICCV (4) WACV (3) ECCV (2) EMNLP (2) ICML (1)

Top co-authors

Yanzhi Wang (26) Pu Zhao (22) Sijia Liu (14) Wei Niu (10) Zheng Zhan (9) Kaidi Xu (9) Pin-Yu Chen (9) Zhenglun Kong (9) Yifan Gong (8) Bin Ren (8)

Keywords

model compression (15) neural network optimization (7) adversarial robustness (6) neural architecture search (5) adversarial attack (5) adversarial defense (4) neural network pruning (4) weight pruning (4) structured pruning (4) inference acceleration (4) real-time inference (4) mobile inference (4) zeroth-order optimization (3) model pruning (3) edge computing (3) compiler optimization (3) certified robustness (2) deep neural network (2) vision transformer (2) black-box attack (2)

Papers

AFL-PRF: Adaptive Federated Learning for Low-Quality Data: Enhancing Performance, Robustness, and Fairness WACV 2026
Sparse Learning for State Space Models on Mobile ICLR 2025
Q-TempFusion: Quantization-Aware Temporal Multi-Sensor Fusion on Bird's-Eye View Representation WACV 2025
FairSMOE: Mitigating Multi-Attribute Fairness Problem with Sparse Mixture-of-Experts IJCAI 2025
Can Adversarial Examples Be Parsed to Reveal Victim Model Information? WACV 2025
Taming Diffusion for Dataset Distillation with High Representativeness ICML 2025
Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment AAAI 2025
FasterVD: On Acceleration of Video Diffusion Models IJCAI 2024
Rethinking Token Reduction for State Space Models EMNLP 2024
Pruning Foundation Models for High Accuracy without Retraining EMNLP 2024
Search for Efficient Large Language Models NIPS 2024
Finding a needle in a haystack: A Black-Box Approach to Invisible Watermark Detection ECCV 2024
Pruning Parameterization With Bi-Level Optimization for Efficient Semantic Segmentation on the Edge CVPR 2023
Towards Real-Time Segmentation on the Edge AAAI 2023
Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization IJCAI 2022
Reverse Engineering of Imperceptible Adversarial Image Perturbations ICLR 2022
Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations IJCAI 2022
Adaptive Hypergraph Neural Network for Multi-Person Pose Estimation AAAI 2022
Location-Free Human Pose Estimation CVPR 2022
NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration CVPR 2021
RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices AAAI 2021
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification NIPS 2021
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge NIPS 2021
Achieving On-Mobile Real-Time Super-Resolution With Neural Architecture and Pruning Search ICCV 2021
RMSMP: A Novel Deep Neural Network Quantization Framework With Row-Wise Mixed Schemes and Multiple Precisions ICCV 2021
Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks IJCAI 2021
Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers ICLR 2021
Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness ICLR 2020
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond NIPS 2020
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices AAAI 2020
Towards Certificated Model Robustness Against Weight Perturbations AAAI 2020
Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent AAAI 2020
Adversarial T-shirt! Evading Person Detectors in A Physical World ECCV 2020
Action-Guided Attention Mining and Relation Reasoning Network for Human-Object Interaction Detection IJCAI 2020
Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization IJCAI 2020
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses IJCAI 2019
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective IJCAI 2019
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization NIPS 2019
Structured Adversarial Attack: Towards General Implementation and Better Interpretability ICLR 2019
On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method ICCV 2019
Adversarial Robustness vs. Model Compression, or Both? ICCV 2019
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples CVPR 2019
Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks AAAI 2019