Geng Yuan

AFL-PRF: Adaptive Federated Learning for Low-Quality Data: Enhancing Performance, Robustness, and Fairness WACV 2026 Roots Beneath the Cut: Uncovering the Risk of Concept Revival in Pruning-Based Unlearning for Diffusion Models CVPR 2026 FairSMOE: Mitigating Multi-Attribute Fairness Problem with Sparse Mixture-of-Experts IJCAI 2025 Mutual Effort for Efficiency: A Similarity-based Token Pruning for Vision Transformers in Self-Supervised Learning ICLR 2025 Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment AAAI 2025 Advancing Dynamic Sparse Training by Exploring Optimization Opportunities ICML 2024 Fast and Memory-Efficient Video Diffusion Using Streamlined Inference NeurIPS 2024 Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning ICLR 2024 Data Level Lottery Ticket Hypothesis for Vision Transformers IJCAI 2023 HotBEV: Hardware-oriented Transformer-based Multi-View 3D Detector for BEV Perception NeurIPS 2023 PackQViT: Faster Sub-8-bit Vision Transformers via Full and Packed Quantization on the Mobile NeurIPS 2023 Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training AAAI 2023 Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors ICLR 2023 SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing ICLR 2023 Towards Real-Time Segmentation on the Edge AAAI 2023 EfficientFormer: Vision Transformers at MobileNet Speed NeurIPS 2022 Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training NeurIPS 2022 Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization IJCAI 2022 Real-Time Portrait Stylization on the Edge IJCAI 2022 SparCL: Sparse Continual Learning on the Edge NeurIPS 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 Achieving On-Mobile Real-Time Super-Resolution With Neural Architecture and Pruning Search ICCV 2021 A Compression-Compilation Co-Design Framework Towards Real-Time Object Detection on Mobile Devices AAAI 2021 A Compression-Compilation Framework for On-mobile Real-time BERT Applications 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 NeurIPS 2021 NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration CVPR 2021 Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? NeurIPS 2021 Teachers Do More Than Teach: Compressing Image-to-Image Models CVPR 2021 Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices IJCAI 2021 YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design AAAI 2021