Sitong Wu

According to our database, Sitong Wu authored at least 35 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SearchGym: Bootstrapping Real-World Search Agents via Cost-Effective and High-Fidelity Environment Simulation.

Xichen Zhang, Ziyi He, Yinghao Zhu, Sitong Wu, Shaozuo Yu, Meng Chu, Wenhu Zhang, Haoru Tan, Jiaya Jia

CoRR, January, 2026

2025

DreamOmni3: Scribble-based Editing and Generation.

Bin Xia, Bohao Peng, Jiyang Liu, Sitong Wu, Jingyao Li, Junjia Huang, Xu Zhao, Yitong Wang, Ruihang Chu, Bei Yu, Jiaya Jia

CoRR, December, 2025

Dual-Branch Center-Surrounding Contrast: Rethinking Contrastive Learning for 3D Point Clouds.

Shaofeng Zhang, Xuanqi Chen, Xiangdong Zhang, Sitong Wu, Junchi Yan

CoRR, December, 2025

Repulsor: Accelerating Generative Modeling with a Contrastive Memory Bank.

Shaofeng Zhang, Xuanqi Chen, Ning Liao, Haoxiang Zhao, Xiaoxing Wang, Haoru Tan, Sitong Wu, Xiaosong Jia, Qi Fan, Junchi Yan

CoRR, December, 2025

Scaf-GRPO: Scaffolded Group Relative Policy Optimization for Enhancing LLM Reasoning.

Xichen Zhang, Sitong Wu, Yinghao Zhu, Haoru Tan, Shaozuo Yu, Ziyi He, Jiaya Jia

CoRR, October, 2025

SmartSwitch: Advancing LLM Reasoning by Overcoming Underthinking via Promoting Deeper Thought Exploration.

Xichen Zhang, Sitong Wu, Haoru Tan, Shaozuo Yu, Yinghao Zhu, Ziyi He, Jiaya Jia

CoRR, October, 2025

DreamOmni2: Multimodal Instruction-based Editing and Generation.

Bin Xia, Bohao Peng, Yuechen Zhang, Junjia Huang, Jiyang Liu, Jingyao Li, Haoru Tan, Sitong Wu, Chengyao Wang, Yitong Wang, Xinglong Wu, Bei Yu, Jiaya Jia

CoRR, October, 2025

Understanding Data Influence with Differential Approximation.

Haoru Tan, Sitong Wu, Xiuzhe Wu, Wang Wang, Bo Zhao, Zeke Xie, Gui-Song Xia, Xiaojuan Qi

CoRR, August, 2025

Demystify Transformers & Convolutions in Modern Image Deep Networks.

Xiaowei Hu, Min Shi, Weiyun Wang, Sitong Wu, Linjie Xing, Wenhai Wang, Xizhou Zhou, Lewei Lu, Jie Zhou, Xiaogang Wang, Yu Qiao, Jifeng Dai

IEEE Trans. Pattern Anal. Mach. Intell., April, 2025

YOLO-MFD: Object Detection for Multi-Scenario Fires.

Fuchuan Mo, Shen Liu, Sitong Wu, Ruiyuan Chen, Tiecheng Song

Inf., 2025

CR2PQ: Continuous Relative Rotary Positional Query for Dense Visual Representation Learning.

Shaofeng Zhang, Qiang Zhou, Sitong Wu, Haoru Tan, Zhibin Wang, Jinfa Huang, Junchi Yan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Data Pruning by Information Maximization.

Haoru Tan, Sitong Wu, Wei Huang, Shizhen Zhao, Xiaojuan Qi

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

LYRA: An Efficient and Speech-Centric Framework for Omni-Cognition.

Zhisheng Zhong, Chengyao Wang, Yuqi Liu, Senqiao Yang, Longxiang Tang, Yuechen Zhang, Jingyao Li, Tianyuan Qu, Yanwei Li, Yukang Chen, Shaozuo Yu, Sitong Wu, Eric Lo, Shu Liu, Jiaya Jia

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Mixture-of-Scores: Robust Image-Text Data Valuation via Three Lines of Code.

Sitong Wu, Haoru Tan, Yukang Chen, Shaofeng Zhang, Jingyao Li, Bei Yu, Xiaojuan Qi, Jiaya Jia

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Logits-Based Finetuning.

Jingyao Li, Senqiao Yang, Sitong Wu, Han Shi, Chuanyang Zheng, Hong Xu, Jiaya Jia

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

QuickLLaMA: Query-aware Inference Acceleration for Large Language Models.

Jingyao Li, Han Shi, Sitong Wu, Chuanyang Zheng, Zhenguo Li, Xin Jiang, Hong Xu, Jiaya Jia

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Ensemble Quadratic Assignment Network for Graph Matching.

Haoru Tan, Chuang Wang, Sitong Wu, Xu-Yao Zhang, Fei Yin, Chenglin Liu

Int. J. Comput. Vis., September, 2024

RoboCoder: Robotic Learning from Basic Skills to General Tasks with Large Language Models.

Jingyao Li, Pengguang Chen, Sitong Wu, Chuanyang Zheng, Hong Xu, Jiaya Jia

CoRR, 2024

SaCo Loss: Sample-Wise Affinity Consistency for Vision-Language Pre-Training.

Sitong Wu, Haoru Tan, Zhuotao Tian, Yukang Chen, Xiaojuan Qi, Jiaya Jia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

PRSeg: A Lightweight Patch Rotate MLP Decoder for Semantic Segmentation.

Yizhe Ma, Fangjian Lin, Sitong Wu, Shengwei Tian, Long Yu

IEEE Trans. Circuits Syst. Video Technol., November, 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., October, 2023

RegionBLIP: A Unified Multi-modal Pre-training Framework for Holistic and Regional Comprehension.

Qiang Zhou, Chaohui Yu, Shaofeng Zhang, Sitong Wu, Zhibing Wang, Fan Wang

CoRR, 2023

AxWin Transformer: A Context-Aware Vision Transformer Backbone with Axial Windows.

Fangjian Lin, Yizhe Ma, Sitong Wu, Long Yu, Shengwei Tian

CoRR, 2023

Data Pruning via Moving-one-Sample-out.

Haoru Tan, Sitong Wu, Fei Du, Yukang Chen, Zhibin Wang, Fan Wang, Xiaojuan Qi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

UniNeXt: Exploring A Unified Architecture for Vision Recognition.

Fangjian Lin, Jianlong Yuan, Sitong Wu, Fan Wang, Zhibin Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

Demystify Transformers & Convolutions in Modern Image Deep Networks.

Jifeng Dai, Min Shi, Weiyun Wang, Sitong Wu, Linjie Xing, Wenhai Wang, Xizhou Zhu, Lewei Lu, Jie Zhou, Xiaogang Wang, Yu Qiao, Xiaowei Hu

CoRR, 2022

Feature Selective Transformer for Semantic Image Segmentation.

Fangjian Lin, Tianyi Wu, Sitong Wu, Shengwei Tian, Guodong Guo

CoRR, 2022

Semantic Diffusion Network for Semantic Segmentation.

Haoru Tan, Sitong Wu, Jimin Pi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CATrans: Context and Affinity Transformer for Few-Shot Segmentation.

Shan Zhang, Tianyi Wu, Sitong Wu, Guodong Guo

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Full-Scale Selective Transformer for Semantic Segmentation.

Fangjian Lin, Sitong Wu, Yizhe Ma, Shengwei Tian

Proceedings of the Computer Vision - ACCV 2022, 2022

Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped Attention.

Sitong Wu, Tianyi Wu, Haoru Tan, Guodong Guo

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Fully Transformer Networks for Semantic Image Segmentation.

Sitong Wu, Tianyi Wu, Fangjian Lin, Shengwei Tian, Guodong Guo

CoRR, 2021

Proxy Graph Matching with Proximal Matching Networks.

Haoru Tan, Chuang Wang, Sitong Wu, Tie-Qiang Wang, Xu-Yao Zhang, Cheng-Lin Liu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Learning the implicit strain reconstruction in ultrasound elastography using privileged information.

Zhifan Gao, Sitong Wu, Zhi Liu, Jianwen Luo, Heye Zhang, Mingming Gong, Shuo Li

Medical Image Anal., 2019

2018

Direct Reconstruction of Ultrasound Elastography Using an End-to-End Deep Neural Network.

Sitong Wu, Zhifan Gao, Zhi Liu, Jianwen Luo, Heye Zhang, Shuo Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018