Wang, Wenjia

34 publications

ECML-PKDD 2025 Aggressive Exploration in Offline Reinforcement Learning for Better Recommendations Kexin Shi, Wenjia Wang, Bingyi Jing

ICLR 2025 AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution Yun Zhang, Wei Li, Simiao Li, Hanting Chen, Zhijun Tu, Bingyi Jing, Shaohui Lin, Jie Hu, Wenjia Wang

IJCAI 2025 Deep Learning for Multivariate Time Series Imputation: A Survey Jun Wang, Wenjie Du, Yiyuan Yang, Linglong Qian, Wei Cao, Keli Zhang, Wenjia Wang, Yuxuan Liang, Qingsong Wen

ICLR 2025 Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning Linjiajie Fang, Ruoxue Liu, Jing Zhang, Wenjia Wang, Bingyi Jing

IJCAI 2025 KP-PINNs: Kernel Packet Accelerated Physics Informed Neural Networks Siyuan Yang, Cheng Song, Zhilu Lai, Wenjia Wang

ICLR 2025 Knowledge Distillation with Multi-Granularity Mixture of Priors for Image Super-Resolution Simiao Li, Yun Zhang, Wei Li, Hanting Chen, Wenjia Wang, Bingyi Jing, Shaohui Lin, Jie Hu

NeurIPS 2025 PANTHER: Generative Pretraining Beyond Language for Sequential User Behavior Modeling Guilin Li, Yun Zhang, Xiuyuan Chen, Chengqi Li, Bo Wang, Linghe Kong, Wenjia Wang, Weiran Huang, Matthias Hwai Yong Tan

ICCV 2025 SIMS: Simulating Stylized Human-Scene Interactions with Retrieval-Augmented Script Generation Wenjia Wang, Liang Pan, Zhiyang Dou, Jidong Mei, Zhouyingcheng Liao, Yuke Lou, Yifan Wu, Lei Yang, Jingbo Wang, Taku Komura

CVPR 2025 TokenHSI: Unified Synthesis of Physical Human-Scene Interactions Through Task Tokenization Liang Pan, Zeshi Yang, Zhiyang Dou, Wenjia Wang, Buzhen Huang, Bo Dai, Taku Komura, Jingbo Wang

CVPR 2024 AiOS: All-in-One-Stage Expressive Human Pose and Shape Estimation Qingping Sun, Yanjun Wang, Ailing Zeng, Wanqi Yin, Chen Wei, Wenjia Wang, Haiyi Mei, Chi-Sing Leung, Ziwei Liu, Lei Yang, Zhongang Cai

NeurIPS 2024 D2R2: Diffusion-Based Representation with Random Distance Matching for Tabular Few-Shot Learning Ruoxue Liu, Linjiajie Fang, Wenjia Wang, Bing-Yi Jing

IJCAI 2024 Deciphering the Projection Head: Representation Evaluation Self-Supervised Learning Jiajun Ma, Tianyang Hu, Wenjia Wang

ECCV 2024 EMDM: Efficient Motion Diffusion Model for Fast, High-Quality Human Motion Generation Wenyang Zhou, Zhiyang Dou, Zeyu Cao, Zhouyingcheng Liao, Jingbo Wang, Wenjia Wang, Yuan Liu, Taku Komura, Wenping Wang, Lingjie Liu

ICLR 2024 Elucidating the Design Space of Classifier-Guided Diffusion Generation Jiajun Ma, Tianyang Hu, Wenjia Wang, Jiacheng Sun

WACV 2024 MuSHRoom: Multi-Sensor Hybrid Room Dataset for Joint 3D Reconstruction and Novel View Synthesis Xuqian Ren, Wenjia Wang, Dingding Cai, Tuuli Tuominen, Juho Kannala, Esa Rahtu

NeurIPS 2024 Q-Distribution Guided Q-Learning for Offline Reinforcement Learning: Uncertainty Penalized Q-Value via Consistency Model Jing Zhang, Linjiajie Fang, Kexin Shi, Wenjia Wang, Bing-Yi Jing

JMLR 2024 Random Smoothing Regularization in Kernel Gradient Descent Learning Liang Ding, Tianyang Hu, Jiahang Jiang, Donghao Li, Wenjia Wang, Yuan Yao

ICML 2024 Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion Xuantong Liu, Tianyang Hu, Wenjia Wang, Kenji Kawaguchi, Yuan Yao

ICML 2024 The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling Jiajun Ma, Shuchen Xue, Tianyang Hu, Wenjia Wang, Zhaoqiang Liu, Zhenguo Li, Zhi-Ming Ma, Kenji Kawaguchi

NeurIPS 2023 Complexity Matters: Rethinking the Latent Space for Generative Modeling Tianyang Hu, Fei Chen, Haonan Wang, Jiawei Li, Wenjia Wang, Jiacheng Sun, Zhenguo Li

NeurIPS 2023 Constrained Policy Optimization with Explicit Behavior Density for Offline Reinforcement Learning Jing Zhang, Chi Zhang, Wenjia Wang, Bingyi Jing

NeurIPS 2023 Deep Insights into Noisy Pseudo Labeling on Graph Data Botao Wang, Jia Li, Yang Liu, Jiashun Cheng, Yu Rong, Wenjia Wang, Fugee Tsung

ICLR 2023 Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding Tianyang Hu, Zhili Liu, Fengwei Zhou, Wenjia Wang, Weiran Huang

ICCV 2023 Zolly: Zoom Focal Length Correctly for Perspective-Distorted Human Mesh Reconstruction Wenjia Wang, Yongtao Ge, Haiyi Mei, Zhongang Cai, Qingping Sun, Yanjun Wang, Chunhua Shen, Lei Yang, Taku Komura

AISTATS 2022 Uncertainty Quantification for Bayesian Optimization Rui Tuo, Wenjia Wang

JMLR 2022 Gaussian Process Regression: Optimality, Robustness, and Relationship with Kernel Ridge Regression Wenjia Wang, Bing-Yi Jing

ECCV 2022 HuMMan: Multi-Modal 4D Human Dataset for Versatile Sensing and Modeling Zhongang Cai, Daxuan Ren, Ailing Zeng, Zhengyu Lin, Tao Yu, Wenjia Wang, Xiangyu Fan, Yang Gao, Yifan Yu, Liang Pan, Fangzhou Hong, Mingyuan Zhang, Chen Change Loy, Lei Yang, Ziwei Liu

NeurIPS 2022 Understanding Square Loss in Training Overparametrized Neural Network Classifiers Tianyang Hu, Jun Wang, Wenjia Wang, Zhenguo Li

AISTATS 2021 Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network Tianyang Hu, Wenjia Wang, Cong Lin, Guang Cheng

IJCAI 2021 Segmenting Transparent Objects in the Wild with Transformer Enze Xie, Wenjia Wang, Wenhai Wang, Peize Sun, Hang Xu, Ding Liang, Ping Luo

JMLR 2020 Kriging Prediction with Isotropic Matern Correlations: Robustness and Experimental Designs Rui Tuo, Wenjia Wang

ECCV 2020 Scene Text Image Super-Resolution in the Wild Wenjia Wang, Enze Xie, Xuebo Liu, Wenhai Wang, Ding Liang, Chunhua Shen, Xiang Bai

ECCV 2020 Segmenting Transparent Objects in the Wild Enze Xie, Wenjia Wang, Wenhai Wang, Mingyu Ding, Chunhua Shen, Ping Luo

NeCo 2001 A Comparative Study of Feature-Salience Ranking Techniques Wenjia Wang, Phillis Jones, Derek Partridge