A UniverApproCNN with Universal Approximation and Explicit Training Strategy. - Yin Yang; Yifeng Wang; Senqiao Yang (CollaborateCom (2), 2021)

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 (ICCV, 2023)

Enhancing Deep Neural Network Corruption Robustness using Evolutionary Algorithm. - Runhua Jiang; Senqiao Yang; HaoYang Li; Han Wang; Ho-Kin Tang; Sim Kuan Goh (CIS-RAM, 2023)

Exploring Sparse Visual Prompt for Cross-domain Semantic Segmentation. - Senqiao Yang; Jiarui Wu; Jiaming Liu 003; Xiaoqi Li 009; Qizhe Zhang; Mingjie Pan; Yulu Gan; Shanghang Zhang (CoRR, 2023)

ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation. - Jiaming Liu 003; Senqiao Yang; Peidong Jia; Ming Lu; Yandong Guo; Wei Xue 002; Shanghang Zhang (CoRR, 2023)

PM-DETR: Domain Adaptive Prompt Memory for Object Detection with Transformers. - Peidong Jia; Jiaming Liu 003; Senqiao Yang; Jiarui Wu; Xiaodong Xie; Shanghang Zhang (CoRR, 2023)

Distribution-Aware Continual Test Time Adaptation for Semantic Segmentation. - Jiayi Ni; Senqiao Yang; Jiaming Liu 003; Xiaoqi Li 009; Wenyu Jiao; Ran Xu 013; Zehui Chen; Yi Liu; Shanghang Zhang (CoRR, 2023)

Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation. - Jiaming Liu 003; Ran Xu 013; Senqiao Yang; Renrui Zhang; Qizhe Zhang; Zehui Chen; Yandong Guo; Shanghang Zhang (CoRR, 2023)

LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding. - Senqiao Yang; Jiaming Liu 003; Ray Zhang 002; Mingjie Pan; Zoey Guo; Xiaoqi Li 009; Zehui Chen; Peng Gao 007; Yandong Guo; Shanghang Zhang (CoRR, 2023)

An Improved Baseline for Reasoning Segmentation with Large Language Model. - Senqiao Yang; Tianyuan Qu; Xin Lai; Zhuotao Tian; Bohao Peng; Shu Liu 005; Jiaya Jia (CoRR, 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, 2023)

Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction. - Senqiao Yang; Jiarui Wu; Jiaming Liu 003; Xiaoqi Li 009; Qizhe Zhang; Mingjie Pan; Yulu Gan; Zehui Chen; Shanghang Zhang (AAAI, 2024)

Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation. - Jiaming Liu 003; Ran Xu 013; Senqiao Yang; Renrui Zhang; Qizhe Zhang; Zehui Chen; Yandong Guo; Shanghang Zhang (CVPR, 2024)

Unified Language-Driven Zero-Shot Domain Adaptation. - Senqiao Yang; Zhuotao Tian; Li Jiang 009; Jiaya Jia (CVPR, 2024)

ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation. - Jiaming Liu 003; Senqiao Yang; Peidong Jia; Renrui Zhang; Ming Lu; Yandong Guo; Wei Xue 002; Shanghang Zhang (ICLR, 2024)

Distribution-Aware Continual Test-Time Adaptation for Semantic Segmentation. - Jiayi Ni; Senqiao Yang; Ran Xu 013; Jiaming Liu 003; Xiaoqi Li 020; Wenyu Jiao; Zehui Chen; Yi Liu; Shanghang Zhang (ICRA, 2024)

Typicalness-Aware Learning for Failure Detection. - Yijun Liu; Jiequan Cui; Zhuotao Tian; Senqiao Yang; Qingdong He; Xiaoling Wang; Jingyong Su (NeurIPS, 2024)

RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation. - Jiaming Liu 003; Mengzhen Liu; Zhenyu Wang 002; Pengju An; Xiaoqi Li 020; Kaichen Zhou; Senqiao Yang; Renrui Zhang; Yandong Guo; Shanghang Zhang (NeurIPS, 2024)

Impacts of Darwinian Evolution on Pre-Trained Deep Neural Networks. - Guodong Du 002; Runhua Jiang; Senqiao Yang; Haoyang Li; Wei Chen; Keren Li; Sim Kuan Goh; Ho-Kin Tang (SMC, 2024)

RoboMamba: Multimodal State Space Model for Efficient Robot Reasoning and Manipulation. - Jiaming Liu 003; Mengzhen Liu; Zhenyu Wang 002; Lily Lee; Kaichen Zhou; Pengju An; Senqiao Yang; Renrui Zhang; Yandong Guo; Shanghang Zhang (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)

Impacts of Darwinian Evolution on Pre-trained Deep Neural Networks. - Guodong Du 002; Runhua Jiang; Senqiao Yang; HaoYang Li; Wei Chen; Keren Li; Sim Kuan Goh; Ho-Kin Tang (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)

LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding. - Senqiao Yang; Jiaming Liu 003; Renrui Zhang; Mingjie Pan; Ziyu Guo; Xiaoqi Li 009; Zehui Chen; Peng Gao 007; Hongsheng Li 001; Yandong Guo; Shanghang Zhang (AAAI, 2025)

VisionZip: Longer is Better but Not Necessary in Vision Language Models. - Senqiao Yang; Yukang Chen; Zhuotao Tian; Chengyao Wang; Jingyao Li; Bei Yu 001; Jiaya Jia (CVPR, 2025)

C2AD: Dual Consistency Learning for Zero-Shot Anomaly Detection. - Xiaoling Wang; Ruilong Xing; Zhuotao Tian; Yijun Liu; Senqiao Yang; Yaowei Wang; Jingyong Su (ICASSP, 2025)

Does Your Vision-Language Model Get Lost in the Long Video Sampling Dilemma? - Tianyuan Qu; Longxiang Tang; Bohao Peng; Senqiao Yang; Bei Yu 001; Jiaya Jia (CoRR, 2025)

Logits-Based Finetuning. - Jingyao Li; Senqiao Yang; Sitong Wu; Han Shi; Chuanyang Zheng; Hong Xu 001; Jiaya Jia (CoRR, 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 005 (CoRR, 2025)

Mitigating Object Hallucinations via Sentence-Level Early Intervention. - Shangpin Peng; Senqiao Yang; Li Jiang; Zhuotao Tian (CoRR, 2025)

VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning. - Senqiao Yang; Junyi Li; Xin Lai; Bei Yu 001; Hengshuang Zhao; Jiaya Jia (CoRR, 2025)