Direct Reconstruction of Ultrasound Elastography Using an End-to-End Deep Neural Network. - Sitong Wu; Zhifan Gao; Zhi Liu 004; Jianwen Luo 001; Heye Zhang; Shuo Li 001 (MICCAI (1), 2018)

Learning the implicit strain reconstruction in ultrasound elastography using privileged information. - Zhifan Gao; Sitong Wu; Zhi Liu 004; Jianwen Luo 001; Heye Zhang; Mingming Gong; Shuo Li 001 (Medical Image Anal., 2019)

Proxy Graph Matching with Proximal Matching Networks. - Haoru Tan; Chuang Wang 007; Sitong Wu; Tie-Qiang Wang; Xu-Yao Zhang; Cheng-Lin Liu 001 (AAAI, 2021)

Fully Transformer Networks for Semantic Image Segmentation. - Sitong Wu; Tianyi Wu; Fangjian Lin; Shengwei Tian; Guodong Guo (CoRR, 2021)

Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped Attention. - Sitong Wu; Tianyi Wu; Haoru Tan; Guodong Guo (AAAI, 2022)

Full-Scale Selective Transformer for Semantic Segmentation. - Fangjian Lin; Sitong Wu; Yizhe Ma; Shengwei Tian (ACCV (7), 2022)

CATrans: Context and Affinity Transformer for Few-Shot Segmentation. - Shan Zhang; Tianyi Wu; Sitong Wu; Guodong Guo (IJCAI, 2022)

Semantic Diffusion Network for Semantic Segmentation. - Haoru Tan; Sitong Wu; Jimin Pi (NeurIPS, 2022)

Feature Selective Transformer for Semantic Image Segmentation. - Fangjian Lin; Tianyi Wu; Sitong Wu; Shengwei Tian; Guodong Guo (CoRR, 2022)

Demystify Transformers & Convolutions in Modern Image Deep Networks. - Jifeng Dai; Min Shi 004; Weiyun Wang; Sitong Wu; Linjie Xing; Wenhai Wang; Xizhou Zhu; Lewei Lu; Jie Zhou 001; Xiaogang Wang 001; Yu Qiao 001; Xiaowei Hu 001 (CoRR, 2022)

UniNeXt: Exploring A Unified Architecture for Vision Recognition. - Fangjian Lin; Jianlong Yuan; Sitong Wu; Fan Wang 019; Zhibin Wang 004 (ACM Multimedia, 2023)

Data Pruning via Moving-one-Sample-out. - Haoru Tan; Sitong Wu; Fei Du; Yukang Chen; Zhibin Wang 004; Fan Wang 019; Xiaojuan Qi 001 (NeurIPS, 2023)

AxWin Transformer: A Context-Aware Vision Transformer Backbone with Axial Windows. - Fangjian Lin; Yizhe Ma; Sitong Wu; Long Yu 001; Shengwei Tian (CoRR, 2023)

RegionBLIP: A Unified Multi-modal Pre-training Framework for Holistic and Regional Comprehension. - Qiang Zhou 001; Chaohui Yu; Shaofeng Zhang; Sitong Wu; Zhibing Wang; Fan Wang 019 (CoRR, 2023)

StructToken: Rethinking Semantic Segmentation With Structural Prior. - Fangjian Lin; Zhanhao Liang; Sitong Wu; Junjun He; Kai Chen; Shengwei Tian (IEEE Trans. Circuits Syst. Video Technol., 2023)

PRSeg: A Lightweight Patch Rotate MLP Decoder for Semantic Segmentation. - Yizhe Ma; Fangjian Lin; Sitong Wu; Shengwei Tian; Long Yu 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

SaCo Loss: Sample-Wise Affinity Consistency for Vision-Language Pre-Training. - Sitong Wu; Haoru Tan; Zhuotao Tian; Yukang Chen; Xiaojuan Qi 001; Jiaya Jia (CVPR, 2024)

RoboCoder: Robotic Learning from Basic Skills to General Tasks with Large Language Models. - Jingyao Li; Pengguang Chen; Sitong Wu; Chuanyang Zheng; Hong Xu 001; Jiaya Jia (CoRR, 2024)

Lyra: An Efficient and Speech-Centric Framework for Omni-Cognition. - Zhisheng Zhong; Chengyao Wang; Yuqi Liu 003; Senqiao Yang; Longxiang Tang; Yuechen Zhang; Jingyao Li; Tianyuan Qu; Yanwei Li; Yukang Chen; Shaozuo Yu; Sitong Wu; et al. (CoRR, 2024)

Ensemble Quadratic Assignment Network for Graph Matching. - Haoru Tan; Chuang Wang 007; Sitong Wu; Xu-Yao Zhang; Fei Yin; Chenglin Liu 001 (Int. J. Comput. Vis., 2024)

QuickLLaMA: Query-aware Inference Acceleration for Large Language Models. - Jingyao Li; Han Shi; Sitong Wu; Chuanyang Zheng; Zhenguo Li; Xin Jiang; Hong Xu 001; Jiaya Jia (COLING, 2025)

Data Pruning by Information Maximization. - Haoru Tan; Sitong Wu; Wei Huang 042; Shizhen Zhao; Xiaojuan Qi 001 (ICLR, 2025)

CR2PQ: Continuous Relative Rotary Positional Query for Dense Visual Representation Learning. - Shaofeng Zhang; Qiang Zhou 001; Sitong Wu; Haoru Tan; Zhibin Wang 004; Jinfa Huang; Junchi Yan (ICLR, 2025)

Demystify Transformers & Convolutions in Modern Image Deep Networks. - Xiaowei Hu 001; Min Shi 004; Weiyun Wang; Sitong Wu; Linjie Xing; Wenhai Wang; Xizhou Zhou; Lewei Lu; Jie Zhou 001; Xiaogang Wang 005; Yu Qiao 001; Jifeng Dai (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Logits-Based Finetuning. - Jingyao Li; Senqiao Yang; Sitong Wu; Han Shi; Chuanyang Zheng; Hong Xu 001; Jiaya Jia (CoRR, 2025)

Understanding Data Influence with Differential Approximation. - Haoru Tan; Sitong Wu; Xiuzhe Wu; Wang Wang; Bo Zhao; Zeke Xie; Gui-Song Xia; Xiaojuan Qi 001 (CoRR, 2025)