conftrace_
← Authors

Xuefei Ning

35 papers · 2020–2026 · 10 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+12 more ↓ 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (9)
🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (63) πŸŒ‰ Interdisciplinary Bridge 🧬 Topic Evolution πŸ‘‘ Triple Crown 🀝 Dynamic Duo (28) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (138) ❓ The Questioner ⚑ Prolific Year (10) πŸ’Ž Century Club (33) πŸ”₯ Unstoppable (6)

Conferences

CVPR (6) ICLR (6) NIPS (6) AAAI (5) ECCV (4) ICCV (2) ICML (2) WACV (2) EACL (1) EMNLP (1)

Top co-authors

Yu Wang (29) Huazhong Yang (19) Tianchen Zhao (13) Guohao Dai (12) Zinan Lin (9) Enshu Liu (8) Shengen Yan (7) Zixuan Zhou (5) Linfeng Zhang (5) Shiyao Li (5)

Keywords

image generation (6) diffusion model (4) model compression (4) neural architecture search (3) ensemble learning (3) efficient computing (3) knowledge distillation (2) video generation (2) vision-language model (2) large language model (2) computational efficiency (2) memory efficiency (2) semantic segmentation (2) in-context learning (1) adversarial robustness (1) attention mechanism (1) multi-task learning (1) post-training quantization (1) generative evaluation (1) image restoration (1)

Papers

GENMAC: Compositional Text-to-Video Generation with Multi-Agent Collaboration AAAI 2026 How Quantization Shapes Bias in Large Language Models EACL 2026 MBQ: Modality-Balanced Quantization for Large Vision-Language Models CVPR 2025 Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning CVPR 2025 Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding ICLR 2025 ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation ICLR 2025 Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better ICLR 2025 FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Vision Language Models ICCV 2025 Training-Free and Hardware-Friendly Acceleration for Diffusion Models via Similarity-based Token Pruning AAAI 2025 Efficient Inference for Large Language Models –Algorithm, Model, and System EMNLP 2025 Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching ICLR 2025 ProReflow: Progressive Reflow with Decomposed Velocity CVPR 2025 TCP: Triplet Contrastive-Relationship Preserving for Class-Incremental Learning WACV 2024 DiTFastAttn: Attention Compression for Diffusion Transformer Models NIPS 2024 Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study NIPS 2024 Rad-NeRF: Ray-decoupled Training of Neural Radiance Field NIPS 2024 FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models CVPR 2024 MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization ECCV 2024 Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation ICLR 2024 A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models ICLR 2024 Evaluating Quantized Large Language Models ICML 2024 THInImg: Cross-Modal Steganography for Presenting Talking Heads in Images WACV 2024 Ensemble-in-One: Ensemble Learning within Random Gated Networks for Enhanced Adversarial Robustness AAAI 2023 Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS β€œCold-Start” AAAI 2023 Memory-Oriented Structural Pruning for Efficient Image Restoration AAAI 2023 Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels NIPS 2023 Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection ICCV 2023 OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models ICML 2023 TA-GATES: An Encoding Scheme for Neural Network Architectures NIPS 2022 FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning CVPR 2022 CLOSE: Curriculum Learning on the Sharing Extent towards Better One-Shot NAS ECCV 2022 CodedVTR: Codebook-Based Sparse Voxel Transformer With Geometric Guidance CVPR 2022 Evaluating Efficient Performance Estimators of Neural Architectures NIPS 2021 A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS ECCV 2020 DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation ECCV 2020