Publication in 2024
Xingyi Yang and Xinchao Wang
“GPT as Visual Explainer”,
Neural Information Processing Systems (NeurIPS), 2024.
Gongfan Fang, Xinyin Ma, and Xinchao Wang
“Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising”,
Neural Information Processing Systems (NeurIPS), 2024.
Zhenxiong Tan, Kaixin Wang, and Xinchao Wang
“Implicit Curriculum in Procgen Made Explicit”,
Neural Information Processing Systems (NeurIPS), 2024.
Junyuan Zhang, Songhua Liu, and Xinchao Wang
“One-shot Federated Learning via Synthetic Distiller-Distillate Communication”,
Neural Information Processing Systems (NeurIPS), 2024.
Xinyin Ma, Gongfan Fang, Michael Bi Mi, and Xinchao Wang
“Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching”,
Neural Information Processing Systems (NeurIPS), 2024.
Zigeng Chen, Gongfan Fang, Xinyin Ma, and Xinchao Wang
“SlimSAM: 0.1% Data Makes Segment Anything Slim”,
Neural Information Processing Systems (NeurIPS), 2024.
Zigeng Chen, Xinyin Ma, Gongfan Fang, Zhenxiong Tan, and Xinchao Wang
“AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising”,
Neural Information Processing Systems (NeurIPS), 2024.
Yujie Mo, Zhihe Lu, Runpeng Yu, Xiaofeng Zhu, and Xinchao Wang
“Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective”,
Neural Information Processing Systems (NeurIPS), 2024.
Gongfan Fang, Hongxu Yin, Saurav Muralidharan, Greg Heinrich, Jeff Pool, Jan Kautz, Pavlo Molchanov, and Xinchao Wang
“MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models”,
Neural Information Processing Systems (NeurIPS), 2024.
Xingyi Yang and Xinchao Wang
“Neural Metamorphosis”,
European Conference on Computer Vision (ECCV), 2024.
Qi Li, Runpeng Yu, and Xinchao Wang
“Encapsulating Knowledge in One Prompt”,
European Conference on Computer Vision (ECCV), 2024.
Qiuhong Shen, Xingyi Yang, and Xinchao Wang
“FlashSplat: 2D to 3D Gaussian Splatting Segmentation Solved Optimally”,
European Conference on Computer Vision (ECCV), 2024.
Runpeng Yu, Weihao Yu, and Xinchao Wang
“Attention Prompting on Image for Large Vision-Language Models”,
European Conference on Computer Vision (ECCV), 2024.
Ruonan Yu, Songhua Liu, Jingwen Ye, and Xinchao Wang
“Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching”,
European Conference on Computer Vision (ECCV), 2024.
Gongfan Fang, Xinyin Ma, Michael Bi Mi, and Xinchao Wang
“Isomorphic Pruning for Vision Models”,
European Conference on Computer Vision (ECCV), 2024.
Hanyang Kong, Dongze Lian, Michael Bi Mi, and Xinchao Wang
“DreamDrone: Text-to-Image Diffusion Models are Zero-shot Perpetual View Generators”,
European Conference on Computer Vision (ECCV), 2024.
Qiuhong Shen, Xingyi Yang, Michael Bi Mi, and Xinchao Wang
“Vista3D: unravel the 3d darkside of a single image”,
European Conference on Computer Vision (ECCV), 2024.
Taolin Zhang, Jiawang Bai, Zhihe Lu, Dongze Lian, Genping Wang, Xinchao Wang, and Shu-Tao Xia
“Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach”,
European Conference on Computer Vision (ECCV), 2024.
Runpeng Yu and Xinchao Wang
“Neural Lineage”,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Jingwen Ye and Xinchao Wang
“Ungeneralizable Examples”,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Xinyin Ma, Gongfan Fang, and Xinchao Wang
“DeepCache: Accelerating Diffusion Models for Free”,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Jiahao Lu, Xingyi Yang, and Xinchao Wang
“Unsegment Anything by Simulating Deformation”,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Yinwei Wu, Xingyi Yang, and Xinchao Wang
“Relation Rectification in Diffusion Model”,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Shizun Wang, Songhua Liu, Zhenxiong Tan, and Xinchao Wang
“MindBridge: A Cross-Subject Brain Decoding Framework”,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Weihao Yu, Pan Zhou, Shuicheng Yan, and Xinchao Wang
“InceptionNeXt: When Inception Meets ConvNeXt”,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Jingwen Ye, Ruonan Yu, Songhua Liu, and Xinchao Wang
“Distilled Datamodel with Reverse Gradient Matching”,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Zeyu Xiao, Zhihe Lu, Michael Bi Mi, Zhiwei Xiong, and Xinchao Wang
“Unraveling Motion Uncertainty for Local Motion Deblurring",
ACM Multimedia (MM), 2024.
Zeyu Xiao, Zhihe Lu, and Xinchao Wang
“P-BiC: Ultra-High-Definition Image Moiré Patterns Removal via Patch Bilateral Compensation ",
ACM Multimedia (MM), 2024.
Zigeng Chen, Chaowei Liu, Yuan Yuan, Michael Bi Mi, and Xinchao Wang
“MetaISP: Efficient RAW-to-sRGB Mappings with Merely 1M Parameters",
International Joint Conference on Artificial Intelligence (IJCAI), 2024.
Jingwen Ye, Ruonan Yu, Songhua Liu, and Xinchao Wang
“Mutual-modality Adversarial Attack with Semantic Perturbation",
AAAI Conference on Artificial Intelligence (AAAI), 2024.
Dongze Lian, Weihao Yu, and Xinchao Wang
“Receptive Fields As Experts in Vision Architectures",
International Conference on Machine Learning (ICML), 2024.
Songhua Liu, Xin Jin, Xingyi Yang, Jingwen Ye, and Xinchao Wang
“StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization",
International Conference on Machine Learning (ICML), 2024.
Zhihe Lu, Jiawang Bai, Xin Li, Zeyu Xiao, and Xinchao Wang
“Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models",
International Conference on Machine Learning (ICML), 2024.
Dapeng Hu, Jian Liang, Xinchao Wang, and Chuan-Sheng Foo
“Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation",
International Conference on Machine Learning (ICML), 2024.
Weihao Yu, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Kevin Lin, Zicheng Liu, Xinchao Wang, and Lijuan Wang
“MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities",
International Conference on Machine Learning (ICML), 2024.
Ruonan Yu, Songhua Liu, and Xinchao Wang
“Dataset distillation: A comprehensive review”,
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024.
Weihao Yu, Chenyang Si, Pan Zhou, Mi Luo, Yichen Zhou, Jiashi Feng, Shuicheng Yan, and Xinchao Wang
“Metaformer baselines for vision”,
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024.
Zhenxiong Tan, Xinyin Ma, Gongfan Fang, Xinchao Wang
“LiteFocus: Accelerated Diffusion Inference for Long Audio Synthesis”,
InterSpeech Conference, 2024.