FADE: Fusing the Assets of Decoder and Encoder for Task-Agnostic Upsampling. - Hao Lu 003; Wenze Liu; Hongtao Fu; Zhiguo Cao 001 (ECCV (27), 2022)

SAPA: Similarity-Aware Point Affiliation for Feature Upsampling. - Hao Lu 003; Wenze Liu; Zixuan Ye; Hongtao Fu; Yuliang Liu; Zhiguo Cao 001 (NeurIPS, 2022)

Learning to Upsample by Learning to Sample. - Wenze Liu; Hao Lu 003; Hongtao Fu; Zhiguo Cao 001 (ICCV, 2023)

On Point Affiliation in Feature Upsampling. - Wenze Liu; Hao Lu 003; Yuliang Liu; Zhiguo Cao 001 (CoRR, 2023)

Box-DETR: Understanding and Boxing Conditional Spatial Queries. - Wenze Liu; Hao Lu 003; Yuliang Liu; Zhiguo Cao 001 (CoRR, 2023)

SIERRA: A robust bilateral feature upsampler for dense prediction. - Hongtao Fu; Wenze Liu; Yuliang Liu; Zhiguo Cao 001; Hao Lu 003 (Comput. Vis. Image Underst., 2023)

Unifying Automatic and Interactive Matting with Pretrained ViTs. - Zixuan Ye; Wenze Liu; He Guo 005; Yujia Liang; Chaoyi Hong; Hao Lu 003; Zhiguo Cao 001 (CVPR, 2024)

SCAPE: A Simple and Strong Category-Agnostic Pose Estimator. - Yujia Liang; Zixuan Ye; Wenze Liu; Hao Lu 003 (ECCV (23), 2024)

Lumina-Next : Making Lumina-T2X Stronger and Faster with Next-DiT. - Le Zhuo; Ruoyi Du; Han Xiao 010; Yangguang Li 001; Dongyang Liu; Rongjie Huang 001; Wenze Liu; Xiangyang Zhu; Fu-Yun Wang; Zhanyu Ma; Xu Luo; Zehan Wang 001; et al. (NeurIPS, 2024)

Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiT. - Le Zhuo; Ruoyi Du; Han Xiao 010; Yangguang Li 001; Dongyang Liu; Rongjie Huang 001; Wenze Liu; Lirui Zhao; Fu-Yun Wang; Zhanyu Ma; Xu Luo; Zehan Wang 001; et al. (CoRR, 2024)

Customize Your Visual Autoregressive Recipe with Set Autoregressive Modeling. - Wenze Liu; Le Zhuo; Yi Xin 003; Sheng Xia; Peng Gao 007; Xiangyu Yue 001 (CoRR, 2024)

Training Matting Models Without Alpha Labels. - Wenze Liu; Zixuan Ye; Hao Lu 003; Zhiguo Cao 001; Xiangyu Yue 001 (AAAI, 2025)

DiTCtrl: Exploring Attention Control in Multi-Modal Diffusion Transformer for Tuning-Free Multi-Prompt Longer Video Generation. - Minghong Cai; Xiaodong Cun; Xiaoyu Li 002; Wenze Liu; Zhaoyang Zhang 004; Yong Zhang 034; Ying Shan; Xiangyu Yue 001 (CVPR, 2025)

BEVboost: Research on 3D Object Detection Method for Roadside Based on Multi-feature Fusion. - Wenze Liu; Xingang Wang (ICIC (22), 2025)

FADE: A Task-Agnostic Upsampling Operator for Encoder-Decoder Architectures. - Hao Lu 003; Wenze Liu; Hongtao Fu; Zhiguo Cao 001 (Int. J. Comput. Vis., 2025)

Learning to Integrate Diffusion ODEs by Averaging the Derivatives. - Wenze Liu; Xiangyu Yue 001 (CoRR, 2025)

Densely activated self-attention for semantic segmentation. - Liwen Xiao; Wenze Liu; Zhicheng Wang 002; Yiran Wang 005; Zhiyu Pan; Hao Lu 003; Zhiguo Cao 001 (Pattern Recognit., 2026)