Xue Lin

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

Achievements

+13 more ↓

🌍 Conference Polyglot (10) 🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (6)

🐝 Cross-Pollinator (6) 🌈 Renaissance Researcher (6) 🗺️ Taxonomy Completionist (56) 🔬 Deep Specialist (15) 🤝 Dynamic Duo (26) 🏆 Grand Slam ❓ The Questioner (2) ⚡ Prolific Year (8) 🚀 Conference Pioneer 💎 Century Club (43) 🗃️ Keyword Collector (158) 📈 Trend Setter 🔥 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