Senqiao Yang

According to our database, Senqiao Yang authored at least 31 papers between 2021 and 2025.

Collaborative distances:

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

2025

VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning.

Senqiao Yang, Junyi Li, Xin Lai, Bei Yu, Hengshuang Zhao, Jiaya Jia

CoRR, July, 2025

Mitigating Object Hallucinations via Sentence-Level Early Intervention.

Shangpin Peng, Senqiao Yang, Li Jiang, Zhuotao Tian

CoRR, July, 2025

Omni-DPO: A Dual-Perspective Paradigm for Dynamic Preference Learning of LLMs.

Shangpin Peng, Weinong Wang, Zhuotao Tian, Senqiao Yang, Xing Wu, Haotian Xu, Chengquan Zhang, Takashi Isobe, Baotian Hu, Min Zhang

CoRR, June, 2025

Logits-Based Finetuning.

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

CoRR, May, 2025

Does Your Vision-Language Model Get Lost in the Long Video Sampling Dilemma?

Tianyuan Qu, Longxiang Tang, Bohao Peng, Senqiao Yang, Bei Yu, Jiaya Jia

CoRR, March, 2025

C²AD: Dual Consistency Learning for Zero-Shot Anomaly Detection.

Xiaoling Wang, Ruilong Xing, Zhuotao Tian, Yijun Liu, Senqiao Yang, Yaowei Wang, Jingyong Su

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

VisionZip: Longer is Better but Not Necessary in Vision Language Models.

Senqiao Yang, Yukang Chen, Zhuotao Tian, Chengyao Wang, Jingyao Li, Bei Yu, Jiaya Jia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding.

Senqiao Yang, Jiaming Liu, Renrui Zhang, Mingjie Pan, Ziyu Guo, Xiaoqi Li, Zehui Chen, Peng Gao, Hongsheng Li, Yandong Guo, Shanghang Zhang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

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

CoRR, 2024

Impacts of Darwinian Evolution on Pre-trained Deep Neural Networks.

Guodong Du, Runhua Jiang, Senqiao Yang, HaoYang Li, Wei Chen, Keren Li, Sim Kuan Goh, Ho-Kin Tang

CoRR, 2024

Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs.

Xin Lai, Zhuotao Tian, Yukang Chen, Senqiao Yang, Xiangru Peng, Jiaya Jia

CoRR, 2024

RoboMamba: Multimodal State Space Model for Efficient Robot Reasoning and Manipulation.

Jiaming Liu, Mengzhen Liu, Zhenyu Wang, Lily Lee, Kaichen Zhou, Pengju An, Senqiao Yang, Renrui Zhang, Yandong Guo, Shanghang Zhang

CoRR, 2024

Impacts of Darwinian Evolution on Pre-Trained Deep Neural Networks.

Guodong Du, Runhua Jiang, Senqiao Yang, Haoyang Li, Wei Chen, Keren Li, Sim Kuan Goh, Ho-Kin Tang

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation.

Jiaming Liu, Mengzhen Liu, Zhenyu Wang, Pengju An, Xiaoqi Li, Kaichen Zhou, Senqiao Yang, Renrui Zhang, Yandong Guo, Shanghang Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Typicalness-Aware Learning for Failure Detection.

Yijun Liu, Jiequan Cui, Zhuotao Tian, Senqiao Yang, Qingdong He, Xiaoling Wang, Jingyong Su

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Distribution-Aware Continual Test-Time Adaptation for Semantic Segmentation.

Jiayi Ni, Senqiao Yang, Ran Xu, Jiaming Liu, Xiaoqi Li, Wenyu Jiao, Zehui Chen, Yi Liu, Shanghang Zhang

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation.

Jiaming Liu, Senqiao Yang, Peidong Jia, Renrui Zhang, Ming Lu, Yandong Guo, Wei Xue, Shanghang Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Unified Language-Driven Zero-Shot Domain Adaptation.

Senqiao Yang, Zhuotao Tian, Li Jiang, Jiaya Jia

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

Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation.

Jiaming Liu, Ran Xu, Senqiao Yang, Renrui Zhang, Qizhe Zhang, Zehui Chen, Yandong Guo, Shanghang Zhang

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

Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction.

Senqiao Yang, Jiarui Wu, Jiaming Liu, Xiaoqi Li, Qizhe Zhang, Mingjie Pan, Yulu Gan, Zehui Chen, Shanghang Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

UDRN: Unified Dimensional Reduction Neural Network for feature selection and feature projection.

Zelin Zang, Yongjie Xu, Linyan Lu, Yulan Geng, Senqiao Yang, Stan Z. Li

Neural Networks, April, 2023

An Improved Baseline for Reasoning Segmentation with Large Language Model.

Senqiao Yang, Tianyuan Qu, Xin Lai, Zhuotao Tian, Bohao Peng, Shu Liu, Jiaya Jia

CoRR, 2023

LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding.

Senqiao Yang, Jiaming Liu, Ray Zhang, Mingjie Pan, Zoey Guo, Xiaoqi Li, Zehui Chen, Peng Gao, Yandong Guo, Shanghang Zhang

CoRR, 2023

Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation.

Jiaming Liu, Ran Xu, Senqiao Yang, Renrui Zhang, Qizhe Zhang, Zehui Chen, Yandong Guo, Shanghang Zhang

CoRR, 2023

Distribution-Aware Continual Test Time Adaptation for Semantic Segmentation.

Jiayi Ni, Senqiao Yang, Jiaming Liu, Xiaoqi Li, Wenyu Jiao, Ran Xu, Zehui Chen, Yi Liu, Shanghang Zhang

CoRR, 2023

PM-DETR: Domain Adaptive Prompt Memory for Object Detection with Transformers.

Peidong Jia, Jiaming Liu, Senqiao Yang, Jiarui Wu, Xiaodong Xie, Shanghang Zhang

CoRR, 2023

ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation.

Jiaming Liu, Senqiao Yang, Peidong Jia, Ming Lu, Yandong Guo, Wei Xue, Shanghang Zhang

CoRR, 2023

Exploring Sparse Visual Prompt for Cross-domain Semantic Segmentation.

Senqiao Yang, Jiarui Wu, Jiaming Liu, Xiaoqi Li, Qizhe Zhang, Mingjie Pan, Yulu Gan, Shanghang Zhang

CoRR, 2023

Enhancing Deep Neural Network Corruption Robustness using Evolutionary Algorithm.

Runhua Jiang, Senqiao Yang, HaoYang Li, Han Wang, Ho-Kin Tang, Sim Kuan Goh

Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2023

Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One Classifier.

Zelin Zang, Lei Shang, Senqiao Yang, Fei Wang, Baigui Sun, Xuansong Xie, Stan Z. Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

A UniverApproCNN with Universal Approximation and Explicit Training Strategy.

Yin Yang, Yifeng Wang, Senqiao Yang

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2021