Xinchao Wang

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 299

Top Venues

Publications

Chaoqin Huang, Aofan Jiang, Jinghao Feng, Ya Zhang, Xinchao Wang, Yanfeng Wang
Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images. CoRR (2024)
Zhenxiong Tan, Xinyin Ma, Gongfan Fang, Xinchao Wang
LiteFocus: Accelerated Diffusion Inference for Long Audio Synthesis. CoRR (2024)
Weihao Yu, Chenyang Si, Pan Zhou, Mi Luo, Yichen Zhou, Jiashi Feng, Shuicheng Yan, Xinchao Wang
MetaFormer Baselines for Vision. IEEE Trans. Pattern Anal. Mach. Intell. 46 (2) (2024)
Chaoqin Huang, Haoyan Guan, Aofan Jiang, Yanfeng Wang, Michael W. Spratling, Xinchao Wang, Ya Zhang
Few-Shot Anomaly Detection via Category-Agnostic Registration Learning. CoRR (2024)
Yutong Xia, Runpeng Yu, Yuxuan Liang, Xavier Bresson, Xinchao Wang, Roger Zimmermann
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification. CoRR (2024)
Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang
Distilled Datamodel with Reverse Gradient Matching. CoRR (2024)
Zhenxiong Tan, Xingyi Yang, Songhua Liu, Xinchao Wang
Video-Infinity: Distributed Long Video Generation. CoRR (2024)
Xinchao Wang, Wei Wang, Cheng Huang, Ping Cao, Youwen Zhu, Qihui Wu
Blockchain-Based Certificateless Conditional Anonymous Authentication for IIoT. IEEE Syst. J. 18 (1) (2024)
Xuanyu Yi, Zike Wu, Qiuhong Shen, Qingshan Xu, Pan Zhou, Joo-Hwee Lim, Shuicheng Yan, Xinchao Wang, Hanwang Zhang
MVGamba: Unify 3D Content Generation as State Space Sequence Modeling. CoRR (2024)
Ruonan Yu, Songhua Liu, Xinchao Wang
Dataset Distillation: A Comprehensive Review. IEEE Trans. Pattern Anal. Mach. Intell. 46 (1) (2024)
Taolin Zhang, Jiawang Bai, Zhihe Lu, Dongze Lian, Genping Wang, Xinchao Wang, Shu-Tao Xia
Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach. CoRR (2024)
Jiahao Lu, Xingyi Yang, Xinchao Wang
Unsegment Anything by Simulating Deformation. CoRR (2024)
Xingyi Yang, Xinchao Wang
Compositional Video Generation as Flow Equalization. CoRR (2024)
Sitian Shen, Jing Xu, Yuheng Yuan, Xingyi Yang, Qiuhong Shen, Xinchao Wang
DragGaussian: Enabling Drag-style Manipulation on 3D Gaussian Representation. CoRR (2024)
Gongfan Fang, Xinyin Ma, Michael Bi Mi, Xinchao Wang
Isomorphic Pruning for Vision Models. CoRR (2024)
Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang
Mutual-Modality Adversarial Attack with Semantic Perturbation. AAAI (2024)
Yinwei Wu, Xingyi Yang, Xinchao Wang
Relation Rectification in Diffusion Model. CoRR (2024)
Weihao Yu, Xinchao Wang
MambaOut: Do We Really Need Mamba for Vision? CoRR (2024)
Qi Li, Runpeng Yu, Xinchao Wang
Encapsulating Knowledge in One Prompt. CoRR (2024)
Runpeng Yu, Weihao Yu, Xinchao Wang
KAN or MLP: A Fairer Comparison. CoRR (2024)
Yanhua Liang, Guihe Qin, Minghui Sun, Xinchao Wang, Jie Yan, Zhonghan Zhang
A systematic review of image-level camouflaged object detection with deep learning. Neurocomputing 566 (2024)
Yujie Mo, Feiping Nie, Ping Hu, Heng Tao Shen, Zheng Zhang, Xinchao Wang, Xiaofeng Zhu
Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View. ICLR (2024)
Runpeng Yu, Xinchao Wang
Neural Lineage. CoRR (2024)
Qiuhong Shen, Xuanyu Yi, Zike Wu, Pan Zhou, Hanwang Zhang, Shuicheng Yan, Xinchao Wang
Gamba: Marry Gaussian Splatting with Mamba for single view 3D reconstruction. CoRR (2024)
Zigeng Chen, Xinyin Ma, Gongfan Fang, Zhenxiong Tan, Xinchao Wang
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising. CoRR (2024)
Xinyin Ma, Gongfan Fang, Michael Bi Mi, Xinchao Wang
Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching. CoRR (2024)
Shizun Wang, Songhua Liu, Zhenxiong Tan, Xinchao Wang
MindBridge: A Cross-Subject Brain Decoding Framework. CoRR (2024)
Shizun Wang, Xingyi Yang, Qiuhong Shen, Zhenxiang Jiang, Xinchao Wang
GFlow: Recovering 4D World from Monocular Video. CoRR (2024)
Songhua Liu, Xin Jin, Xingyi Yang, Jingwen Ye, Xinchao Wang
StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization. CoRR (2024)
Xingyi Yang, Xinchao Wang
Hash3D: Training-free Acceleration for 3D Generation. CoRR (2024)
Yihao Ai, Yifei Qi, Bo Wang, Yu Cheng, Xinchao Wang, Robby T. Tan
Domain-Adaptive 2D Human Pose Estimation via Dual Teachers in Extremely Low-Light Conditions. CoRR (2024)
Jingwen Ye, Xinchao Wang
Ungeneralizable Examples. CoRR (2024)
Xingyi Yang, Xinchao Wang
Diffusion Model as Representation Learner. ICCV (2023)
Songhua Liu, Jingwen Ye, Xinchao Wang
Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate. CoRR (2023)
Xinyin Ma, Gongfan Fang, Xinchao Wang
DeepCache: Accelerating Diffusion Models for Free. CoRR (2023)
Zhihe Lu, Zeyu Xiao, Jiawang Bai, Zhiwei Xiong, Xinchao Wang
Can SAM Boost Video Super-Resolution? CoRR (2023)
Dapeng Hu, Jian Liang, Xinchao Wang, Chuan-Sheng Foo
PseudoCal: A Source-Free Approach to Unsupervised Uncertainty Calibration in Domain Adaptation. CoRR (2023)
Jianfeng Zhang, Kehong Gong, Xinchao Wang, Jiashi Feng
Learning to Augment Poses for 3D Human Pose Estimation in Images and Videos. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Gongfan Fang, Xinyin Ma, Xinchao Wang
Structural Pruning for Diffusion Models. CoRR (2023)
Dapeng Hu, Jian Liang, Jun Hao Liew, Chuhui Xue, Song Bai, Xinchao Wang
Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation. NeurIPS (2023)
Chenxin Xu, Robby T. Tan, Yuhong Tan, Siheng Chen, Xinchao Wang, Yanfeng Wang
Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction. CoRR (2023)
Runpeng Yu, Xinchao Wang
Generator Born from Classifier. CoRR (2023)
Runpeng Yu, Xinchao Wang
Generator Born from Classifier. NeurIPS (2023)
Xin Li, Dongze Lian, Zhihe Lu, Jiawang Bai, Zhibo Chen, Xinchao Wang
GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph. CoRR (2023)
Xingyi Yang, Xinchao Wang
Diffusion Model as Representation Learner. CoRR (2023)
Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang
Reachability-Aware Laplacian Representation in Reinforcement Learning. ICML (2023)
Sucheng Ren, Xingyi Yang, Songhua Liu, Xinchao Wang
SG-Former: Self-guided Transformer with Evolving Token Reallocation. ICCV (2023)
Jingwen Ye, Songhua Liu, Xinchao Wang
Partial Network Cloning. CVPR (2023)
Gongfan Fang, Xinyin Ma, Mingli Song, Michael Bi Mi, Xinchao Wang
DepGraph: Towards Any Structural Pruning. CVPR (2023)
Chenxin Xu, Robby T. Tan, Yuhong Tan, Siheng Chen, Yu Guang Wang, Xinchao Wang, Yanfeng Wang
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning. CoRR (2023)
Songhua Liu, Xinchao Wang
Few-Shot Dataset Distillation via Translative Pre-Training. ICCV (2023)
Kehong Gong, Dongze Lian, Heng Chang, Chuan Guo, Xinxin Zuo, Zihang Jiang, Xinchao Wang
TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration. CoRR (2023)
Yan Kang, Xinchao Wang, Cheng Xie, Huadong Zhang, Wentao Xie
BBLN: A bilateral-branch learning network for unknown protein-protein interaction prediction. Comput. Biol. Medicine 167 (2023)
Hanyang Kong, Kehong Gong, Dongze Lian, Michael Bi Mi, Xinchao Wang
Priority-Centric Human Motion Generation in Discrete Latent Space. CoRR (2023)
Weihao Yu, Pan Zhou, Shuicheng Yan, Xinchao Wang
InceptionNeXt: When Inception Meets ConvNeXt. CoRR (2023)
Hanyang Kong, Dongze Lian, Michael Bi Mi, Xinchao Wang
DreamDrone. CoRR (2023)
Songhua Liu, Xinchao Wang
MGDD: A Meta Generator for Fast Dataset Distillation. NeurIPS (2023)
Chenxin Xu, Robby T. Tan, Yuhong Tan, Siheng Chen, Yu Guang Wang, Xinchao Wang, Yanfeng Wang
EqMotion: Equivariant Multi-Agent Motion Prediction with Invariant Interaction Reasoning. CVPR (2023)
Yan Kang, Yulong Xu, Xinchao Wang, Bin Pu, Xuekun Yang, Yulong Rao, Jianguo Chen
HN-PPISP: a hybrid network based on MLP-Mixer for protein-protein interaction site prediction. Briefings Bioinform. 24 (1) (2023)
Songhua Liu, Jingwen Ye, Runpeng Yu, Xinchao Wang
Slimmable Dataset Condensation. CVPR (2023)
Hao Tang, Songhua Liu, Tianwei Lin, Shaoli Huang, Fu Li, Dongliang He, Xinchao Wang
Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer. CVPR (2023)
Tongya Zheng, Xinchao Wang, Zunlei Feng, Jie Song, Yunzhi Hao, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen
Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Zhihe Lu, Jiawang Bai, Xin Li, Zeyu Xiao, Xinchao Wang
Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models. CoRR (2023)
Gongfan Fang, Xinyin Ma, Mingli Song, Michael Bi Mi, Xinchao Wang
DepGraph: Towards Any Structural Pruning. CoRR (2023)
Gongfan Fang, Xinyin Ma, Xinchao Wang
Structural Pruning for Diffusion Models. NeurIPS (2023)
Runpeng Yu, Songhua Liu, Xingyi Yang, Xinchao Wang
Distribution Shift Inversion for Out-of-Distribution Prediction. CVPR (2023)
Yadi Shi, Guihe Qin, Yanhua Liang, Xinchao Wang, Jie Yan, Zhonghan Zhang
Salient object detection based on edge-interior feature fusion. IET Image Process. 17 (2) (2023)
Xinyin Ma, Gongfan Fang, Xinchao Wang
LLM-Pruner: On the Structural Pruning of Large Language Models. CoRR (2023)
Xinyin Ma, Gongfan Fang, Xinchao Wang
LLM-Pruner: On the Structural Pruning of Large Language Models. NeurIPS (2023)
Tao Yu, Zhihe Lu, Xin Jin, Zhibo Chen, Xinchao Wang
Task Residual for Tuning Vision-Language Models. CVPR (2023)
Qiuhong Shen, Xingyi Yang, Xinchao Wang
Anything-3D: Towards Single-view Anything Reconstruction in the Wild. CoRR (2023)
Jingwen Ye, Songhua Liu, Xinchao Wang
Partial Network Cloning. CoRR (2023)
Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang
Mutual-modality Adversarial Attack with Semantic Perturbation. CoRR (2023)
Marcos V. Conde, Manuel Kolmet, Tim Seizinger, Tom E. Bishop, Radu Timofte, Xiangyu Kong, Dafeng Zhang, Jinlong Wu, Fan Wang, Juewen Peng, Zhiyu Pan, Chengxin Liu, Xianrui Luo, Huiqiang Sun, Liao Shen, Zhiguo Cao, Ke Xian, Chaowei Liu, Zigeng Chen, Xingyi Yang, Songhua Liu, Yongcheng Jing, Michael Bi Mi, Xinchao Wang, Zhihao Yang, Wenyi Lian, Siyuan Lai, Haichuan Zhang, Trung Hoang, Amirsaeed Yazdani, Vishal Monga, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Yuxuan Zhao, Baoliang Chen, Yiqing Xu, JiXiangNiu
Lens-to-Lens Bokeh Effect Transformation. NTIRE 2023 Challenge Report. CVPR Workshops (2023)
Yongcheng Jing, Chongbin Yuan, Li Ju, Yiding Yang, Xinchao Wang, Dacheng Tao
Deep Graph Reprogramming. CVPR (2023)
Hanyang Kong, Kehong Gong, Dongze Lian, Michael Bi Mi, Xinchao Wang
Priority-Centric Human Motion Generation in Discrete Latent Space. ICCV (2023)
Chenxin Xu, Robby T. Tan, Yuhong Tan, Siheng Chen, Xinchao Wang, Yanfeng Wang
Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction. ICCV (2023)
Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang
Diffusion Probabilistic Model Made Slim. CVPR (2023)
Yan Kang, Wentao Xie, Xiaopeng Wang, Haining Wang, Xinchao Wang, Jinyuan Li
MOPISDE: A collaborative multi-objective information-sharing DE algorithm for software clustering. Expert Syst. Appl. 226 (2023)
Yongcheng Jing, Xinchao Wang, Dacheng Tao
Segment Anything in Non-Euclidean Domains: Challenges and Opportunities. CoRR (2023)
Keji He, Chenyang Si, Zhihe Lu, Yan Huang, Liang Wang, Xinchao Wang
Frequency-Enhanced Data Augmentation for Vision-and-Language Navigation. NeurIPS (2023)
Zigeng Chen, Gongfan Fang, Xinyin Ma, Xinchao Wang
0.1% Data Makes Segment Anything Slim. CoRR (2023)
Weihao Yu, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Kevin Lin, Zicheng Liu, Xinchao Wang, Lijuan Wang
MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities. CoRR (2023)
Yongcheng Jing, Chongbin Yuan, Li Ju, Yiding Yang, Xinchao Wang, Dacheng Tao
Deep Graph Reprogramming. CoRR (2023)
Xin Li, Yulin Ren, Xin Jin, Cuiling Lan, Xingrui Wang, Wenjun Zeng, Xinchao Wang, Zhibo Chen
Diffusion Models for Image Restoration and Enhancement - A Comprehensive Survey. CoRR (2023)
Zhihe Lu, Shuicheng Yan, Xinchao Wang
Efficient Multi-Grained Knowledge Reuse for Class Incremental Segmentation. CoRR (2023)
Runpeng Yu, Songhua Liu, Xingyi Yang, Xinchao Wang
Distribution Shift Inversion for Out-of-Distribution Prediction. CoRR (2023)
Zhenxiong Tan, Kaixin Wang, Xinchao Wang
C-Procgen: Empowering Procgen with Controllable Contexts. CoRR (2023)
Ming Nie, Yujing Xue, Chunwei Wang, Chaoqiang Ye, Hang Xu, Xinge Zhu, Qingqiu Huang, Michael Bi Mi, Xinchao Wang, Li Zhang
PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection. CoRR (2023)
Hao Tang, Songhua Liu, Tianwei Lin, Shaoli Huang, Fu Li, Dongliang He, Xinchao Wang
Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer. CoRR (2023)
Xin Li, Dongze Lian, Zhihe Lu, Jiawang Bai, Zhibo Chen, Xinchao Wang
GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph. NeurIPS (2023)
Tongya Zheng, Xinchao Wang, Zunlei Feng, Jie Song, Yunzhi Hao, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen
Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation. CoRR (2023)
Ruonan Yu, Songhua Liu, Xinchao Wang
Dataset Distillation: A Comprehensive Review. CoRR (2023)
Kehong Gong, Dongze Lian, Heng Chang, Chuan Guo, Zihang Jiang, Xinxin Zuo, Michael Bi Mi, Xinchao Wang
TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration. ICCV (2023)
Ming Nie, Yujing Xue, Chunwei Wang, Chaoqiang Ye, Hang Xu, Xinge Zhu, Qingqiu Huang, Michael Bi Mi, Xinchao Wang, Li Zhang
PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection. ICCV (2023)
Sucheng Ren, Xingyi Yang, Songhua Liu, Xinchao Wang
SG-Former: Self-guided Transformer with Evolving Token Reallocation. CoRR (2023)
Yu Cheng, Yihao Ai, Bo Wang, Xinchao Wang, Robby T. Tan
Bottom-up 2D pose estimation via dual anatomical centers for small-scale persons. Pattern Recognit. 139 (2023)
Chenyang Si, Weihao Yu, Pan Zhou, Yichen Zhou, Xinchao Wang, Shuicheng Yan
Inception Transformer. NeurIPS (2022)
Jinming Zhao, Tenggan Zhang, Jingwen Hu, Yuchen Liu, Qin Jin, Xinchao Wang, Haizhou Li
M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database. CoRR (2022)
Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Shuo Yang, Shuo Wang, Guan Huang, Hakan Bilen, Xinchao Wang, Yang You
CAFE: Learning to Condense Dataset by Aligning Features. CVPR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xinchao Wang