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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j39]Qiyuan Yang, Zhongtian Cheng, Yan Kang
, Xinchao Wang:
A novel multi-view contrastive learning for herb recommendation. Appl. Intell. 54(22): 11412-11429 (2024)- [j38]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: 127050 (2024) - [j37]Ruonan Yu, Songhua Liu, Xinchao Wang:
Dataset Distillation: A Comprehensive Review. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 150-170 (2024) - [j36]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): 896-912 (2024) - [j35]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): 656-667 (2024) - [c154]Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang:
Mutual-Modality Adversarial Attack with Semantic Perturbation. AAAI 2024: 6657-6665 - [c153]Runpeng Yu, Xinchao Wang:
Neural Lineage. CVPR 2024: 4797-4807 - [c152]Weihao Yu, Pan Zhou, Shuicheng Yan, Xinchao Wang:
InceptionNeXt: When Inception Meets ConvNeXt. CVPR 2024: 5672-5683 - [c151]Yinwei Wu, Xingyi Yang, Xinchao Wang:
Relation Rectification in Diffusion Model. CVPR 2024: 7685-7694 - [c150]Shizun Wang, Songhua Liu, Zhenxiong Tan, Xinchao Wang:
MindBridge: A Cross-Subject Brain Decoding Framework. CVPR 2024: 11333-11342 - [c149]Chaoqin Huang, Aofan Jiang, Jinghao Feng, Ya Zhang, Xinchao Wang, Yanfeng Wang:
Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images. CVPR 2024: 11375-11385 - [c148]Jingwen Ye, Xinchao Wang:
Ungeneralizable Examples. CVPR 2024: 11944-11953 - [c147]Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang:
Distilled Datamodel with Reverse Gradient Matching. CVPR 2024: 11954-11963 - [c146]Xinyin Ma, Gongfan Fang, Xinchao Wang:
DeepCache: Accelerating Diffusion Models for Free. CVPR 2024: 15762-15772 - [c145]Jiahao Lu, Xingyi Yang, Xinchao Wang:
Unsegment Anything by Simulating Deformation. CVPR 2024: 24294-24304 - [c144]Xingyi Yang, Xinchao Wang:
Neural Metamorphosis. ECCV (34) 2024: 1-19 - [c143]Ruonan Yu, Songhua Liu, Jingwen Ye, Xinchao Wang:
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching. ECCV (46) 2024: 1-17 - [c142]Qi Li, Runpeng Yu, Xinchao Wang:
Encapsulating Knowledge in One Prompt. ECCV (65) 2024: 215-232 - [c141]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. ECCV (47) 2024: 221-239 - [c140]Gongfan Fang, Xinyin Ma, Michael Bi Mi, Xinchao Wang:
Isomorphic Pruning for Vision Models. ECCV (30) 2024: 232-250 - [c139]Runpeng Yu, Weihao Yu, Xinchao Wang:
Attention Prompting on Image for Large Vision-Language Models. ECCV (30) 2024: 251-268 - [c138]Hanyang Kong, Dongze Lian, Michael Bi Mi, Xinchao Wang:
DreamDrone: Text-to-Image Diffusion Models Are Zero-Shot Perpetual View Generators. ECCV (13) 2024: 324-341 - [c137]Yushun Tang, Shuoshuo Chen, Zhihe Lu, Xinchao Wang, Zhihai He:
Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-Time Adaptation. ECCV (67) 2024: 342-359 - [c136]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. ECCV (45) 2024: 346-363 - [c135]Qiuhong Shen, Xingyi Yang, Michael Bi Mi, Xinchao Wang:
Vista3D: Unravel the 3D Darkside of a Single Image. ECCV (22) 2024: 405-421 - [c134]Qiuhong Shen, Xingyi Yang, Xinchao Wang:
FlashSplat: 2D to 3D Gaussian Splatting Segmentation Solved Optimally. ECCV (22) 2024: 456-472 - [c133]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 - [c132]Dapeng Hu, Jian Liang, Xinchao Wang, Chuan-Sheng Foo:
Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation. ICML 2024 - [c131]Dongze Lian, Weihao Yu, Xinchao Wang:
Receptive Fields As Experts in Convolutional Neural Architectures. ICML 2024 - [c130]Songhua Liu, Xin Jin, Xingyi Yang, Jingwen Ye, Xinchao Wang:
StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization. ICML 2024 - [c129]Zhihe Lu, Jiawang Bai, Xin Li, Zeyu Xiao, Xinchao Wang:
Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models. ICML 2024 - [c128]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. ICML 2024 - [c127]Zigeng Chen, Chaowei Liu, Yuan Yuan, Michael Bi Mi, Xinchao Wang:
MetaISP: Efficient RAW-to-sRGB Mappings with Merely 1M Parameters. IJCAI 2024: 686-694 - [c126]Zeyu Xiao, Zhihe Lu, Michael Bi Mi, Zhiwei Xiong, Xinchao Wang:
Unraveling Motion Uncertainty for Local Motion Deblurring. ACM Multimedia 2024: 3065-3074 - [c125]Zeyu Xiao, Zhihe Lu, Xinchao Wang:
P-BiC: Ultra-High-Definition Image Moiré Patterns Removal via Patch Bilateral Compensation. ACM Multimedia 2024: 8365-8373 - [i168]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 abs/2401.09953 (2024) - [i167]Chaoqin Huang, Aofan Jiang, Jinghao Feng, Ya Zhang, Xinchao Wang, Yanfeng Wang:
Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images. CoRR abs/2403.12570 (2024) - [i166]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 abs/2403.18795 (2024) - [i165]Yinwei Wu, Xingyi Yang, Xinchao Wang:
Relation Rectification in Diffusion Model. CoRR abs/2403.20249 (2024) - [i164]Jiahao Lu, Xingyi Yang, Xinchao Wang:
Unsegment Anything by Simulating Deformation. CoRR abs/2404.02585 (2024) - [i163]Xingyi Yang, Xinchao Wang:
Hash3D: Training-free Acceleration for 3D Generation. CoRR abs/2404.06091 (2024) - [i162]Shizun Wang, Songhua Liu, Zhenxiong Tan, Xinchao Wang:
MindBridge: A Cross-Subject Brain Decoding Framework. CoRR abs/2404.07850 (2024) - [i161]Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang:
Distilled Datamodel with Reverse Gradient Matching. CoRR abs/2404.14006 (2024) - [i160]Jingwen Ye, Xinchao Wang:
Ungeneralizable Examples. CoRR abs/2404.14016 (2024) - [i159]Sitian Shen, Jing Xu, Yuheng Yuan, Xingyi Yang, Qiuhong Shen, Xinchao Wang:
DragGaussian: Enabling Drag-style Manipulation on 3D Gaussian Representation. CoRR abs/2405.05800 (2024) - [i158]Weihao Yu, Xinchao Wang:
MambaOut: Do We Really Need Mamba for Vision? CoRR abs/2405.07992 (2024) - [i157]Shizun Wang, Xingyi Yang, Qiuhong Shen, Zhenxiang Jiang, Xinchao Wang:
GFlow: Recovering 4D World from Monocular Video. CoRR abs/2405.18426 (2024) - [i156]Songhua Liu, Xin Jin, Xingyi Yang, Jingwen Ye, Xinchao Wang:
StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization. CoRR abs/2406.00275 (2024) - [i155]Xinyin Ma, Gongfan Fang, Michael Bi Mi, Xinchao Wang:
Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching. CoRR abs/2406.01733 (2024) - [i154]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 abs/2406.06367 (2024) - [i153]Zigeng Chen, Xinyin Ma, Gongfan Fang, Zhenxiong Tan, Xinchao Wang:
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising. CoRR abs/2406.06911 (2024) - [i152]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 abs/2406.08810 (2024) - [i151]Runpeng Yu, Xinchao Wang:
Neural Lineage. CoRR abs/2406.11129 (2024) - [i150]Zhenxiong Tan, Xingyi Yang, Songhua Liu, Xinchao Wang:
Video-Infinity: Distributed Long Video Generation. CoRR abs/2406.16260 (2024) - [i149]Gongfan Fang, Xinyin Ma, Michael Bi Mi, Xinchao Wang:
Isomorphic Pruning for Vision Models. CoRR abs/2407.04616 (2024) - [i148]Xingyi Yang, Xinchao Wang:
Compositional Video Generation as Flow Equalization. CoRR abs/2407.06182 (2024) - [i147]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 abs/2407.06964 (2024) - [i146]Zhenxiong Tan, Xinyin Ma, Gongfan Fang, Xinchao Wang:
LiteFocus: Accelerated Diffusion Inference for Long Audio Synthesis. CoRR abs/2407.10468 (2024) - [i145]Qi Li, Runpeng Yu, Xinchao Wang:
Encapsulating Knowledge in One Prompt. CoRR abs/2407.11902 (2024) - [i144]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 abs/2407.15451 (2024) - [i143]Runpeng Yu, Weihao Yu, Xinchao Wang:
KAN or MLP: A Fairer Comparison. CoRR abs/2407.16674 (2024) - [i142]Weihao Yu, Zhengyuan Yang, Linfeng Ren, Linjie Li, Jianfeng Wang, Kevin Lin, Chung-Ching Lin, Zicheng Liu, Lijuan Wang, Xinchao Wang:
MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models for Integrated Capabilities. CoRR abs/2408.00765 (2024) - [i141]Ruonan Yu, Songhua Liu, Zigeng Chen, Jingwen Ye, Xinchao Wang:
Heavy Labels Out! Dataset Distillation with Label Space Lightening. CoRR abs/2408.08201 (2024) - [i140]Bonan Li, Zicheng Zhang, Xingyi Yang, Xinchao Wang:
Focus on Neighbors and Know the Whole: Towards Consistent Dense Multiview Text-to-Image Generator for 3D Creation. CoRR abs/2408.13149 (2024) - [i139]Yushun Tang, Shuoshuo Chen, Zhihe Lu, Xinchao Wang, Zhihai He:
Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-time Adaptation. CoRR abs/2408.13983 (2024) - [i138]Songhua Liu, Weihao Yu, Zhenxiong Tan, Xinchao Wang:
LinFusion: 1 GPU, 1 Minute, 16K Image. CoRR abs/2409.02097 (2024) - [i137]Yinwei Wu, Xianpan Zhou, Bing Ma, Xuefeng Su, Kai Ma, Xinchao Wang:
IFAdapter: Instance Feature Control for Grounded Text-to-Image Generation. CoRR abs/2409.08240 (2024) - [i136]Qiuhong Shen, Xingyi Yang, Xinchao Wang:
FlashSplat: 2D to 3D Gaussian Splatting Segmentation Solved Optimally. CoRR abs/2409.08270 (2024) - [i135]Xingyi Yang, Xinchao Wang:
Kolmogorov-Arnold Transformer. CoRR abs/2409.10594 (2024) - [i134]Qiuhong Shen, Xingyi Yang, Michael Bi Mi, Xinchao Wang:
Vista3D: Unravel the 3D Darkside of a Single Image. CoRR abs/2409.12193 (2024) - [i133]Runpeng Yu, Weihao Yu, Xinchao Wang:
Attention Prompting on Image for Large Vision-Language Models. CoRR abs/2409.17143 (2024) - [i132]Gongfan Fang, Hongxu Yin, Saurav Muralidharan, Greg Heinrich, Jeff Pool, Jan Kautz, Pavlo Molchanov, Xinchao Wang:
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models. CoRR abs/2409.17481 (2024) - [i131]Ruonan Yu, Songhua Liu, Jingwen Ye, Xinchao Wang:
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching. CoRR abs/2410.07579 (2024) - [i130]Jiahao Lu, Yifan Zhang, Qiuhong Shen, Xinchao Wang, Shuicheng Yan:
Poison-splat: Computation Cost Attack on 3D Gaussian Splatting. CoRR abs/2410.08190 (2024) - [i129]Xingyi Yang, Xinchao Wang:
Neural Metamorphosis. CoRR abs/2410.11878 (2024) - [i128]Mengnan Zhao, Lihe Zhang, Jingwen Ye, Huchuan Lu, Baocai Yin, Xinchao Wang:
Adversarial Training: A Survey. CoRR abs/2410.15042 (2024) - [i127]Yujie Mo, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang:
HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters. CoRR abs/2411.01155 (2024) - [i126]Zhenxiong Tan, Songhua Liu, Xingyi Yang, Qiaochu Xue, Xinchao Wang:
OminiControl: Minimal and Universal Control for Diffusion Transformer. CoRR abs/2411.15098 (2024) - [i125]Zigeng Chen, Xinyin Ma, Gongfan Fang, Xinchao Wang:
Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient. CoRR abs/2411.17787 (2024) - [i124]Yujie Mo, Zhihe Lu, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang:
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective. CoRR abs/2412.00742 (2024) - [i123]Gongfan Fang, Kunjun Li, Xinyin Ma, Xinchao Wang:
TinyFusion: Diffusion Transformers Learned Shallow. CoRR abs/2412.01199 (2024) - [i122]Junyuan Zhang, Songhua Liu, Xinchao Wang:
One-shot Federated Learning via Synthetic Distiller-Distillate Communication. CoRR abs/2412.05186 (2024) - [i121]Gongfan Fang, Xinyin Ma, Xinchao Wang:
Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising. CoRR abs/2412.05628 (2024) - [i120]Xingyi Yang, Xinchao Wang:
Language Model as Visual Explainer. CoRR abs/2412.07802 (2024) - 2023
- [j34]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) - [j33]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: 107588 (2023) - [j32]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: 120207 (2023) - [j31]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): 337-348 (2023) - [j30]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): 10012-10026 (2023) - [j29]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: 109403 (2023) - [j28]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): 10151-10165 (2023) - [c124]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: 1410-1420 - [c123]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: 1643-1659 - [c122]Runpeng Yu, Songhua Liu, Xingyi Yang, Xinchao Wang:
Distribution Shift Inversion for Out-of-Distribution Prediction. CVPR 2023: 3592-3602 - [c121]Songhua Liu, Jingwen Ye, Runpeng Yu, Xinchao Wang:
Slimmable Dataset Condensation. CVPR 2023: 3759-3768 - [c120]Tao Yu, Zhihe Lu, Xin Jin, Zhibo Chen, Xinchao Wang:
Task Residual for Tuning Vision-Language Models. CVPR 2023: 10899-10909 - [c119]Gongfan Fang, Xinyin Ma, Mingli Song, Michael Bi Mi, Xinchao Wang:
DepGraph: Towards Any Structural Pruning. CVPR 2023: 16091-16101 - [c118]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: 18329-18338 - [c117]Jingwen Ye, Songhua Liu, Xinchao Wang:
Partial Network Cloning. CVPR 2023: 20137-20146 - [c116]Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang:
Diffusion Probabilistic Model Made Slim. CVPR 2023: 22552-22562 - [c115]Yongcheng Jing, Chongbin Yuan, Li Ju, Yiding Yang, Xinchao Wang, Dacheng Tao:
Deep Graph Reprogramming. CVPR 2023: 24345-24354 - [c114]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: 3778-3790 - [c113]Sucheng Ren, Xingyi Yang, Songhua Liu, Xinchao Wang:
SG-Former: Self-guided Transformer with Evolving Token Reallocation. ICCV 2023: 5980-5991 - [c112]Chenxin Xu, Robby T. Tan, Yuhong Tan, Siheng Chen, Xinchao Wang, Yanfeng Wang:
Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction. ICCV 2023: 9475-9486 - [c111]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: 9908-9918 - [c110]Hanyang Kong, Kehong Gong, Dongze Lian, Michael Bi Mi, Xinchao Wang:
Priority-Centric Human Motion Generation in Discrete Latent Space. ICCV 2023: 14760-14770 - [c109]Songhua Liu, Xinchao Wang:
Few-Shot Dataset Distillation via Translative Pre-Training. ICCV 2023: 18608-18618 - [c108]Xingyi Yang, Xinchao Wang:
Diffusion Model as Representation Learner. ICCV 2023: 18892-18903 - [c107]Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang:
Reachability-Aware Laplacian Representation in Reinforcement Learning. ICML 2023: 36670-36693 - [c106]Xin Li, Dongze Lian, Zhihe Lu, Jiawang Bai, Zhibo Chen, Xinchao Wang:
GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph. NeurIPS 2023 - [c105]Gongfan Fang, Xinyin Ma, Xinchao Wang:
Structural Pruning for Diffusion Models. NeurIPS 2023 - [c104]Keji He, Chenyang Si, Zhihe Lu, Yan Huang, Liang Wang, Xinchao Wang:
Frequency-Enhanced Data Augmentation for Vision-and-Language Navigation. NeurIPS 2023 - [c103]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 - [c102]Songhua Liu, Xinchao Wang:
MGDD: A Meta Generator for Fast Dataset Distillation. NeurIPS 2023 - [c101]