Bayesian Learning of Infinite Asymmetric Gaussian Mixture Models for Background Subtraction. - Ziyang Song; Samr Ali; Nizar Bouguila (ICIAR (1), 2019)

Learning to Plan Semantic Free-Space Boundary. - Ziyi Yin 001; Ziyang Song; Zejian Yuan (ICIP, 2019)

Hierarchical Reconfiguration Optimization of Distribution Network Considering Multiple Indexes. - Jun Liu; Fan Yang; Ziyang Song; Xiaokang Liu (ICITEE, 2019)

Residual Squeeze-and-Excitation Network for Battery Cell Surface Inspection. - Ziyang Song; Zejian Yuan; Tie Liu (MVA, 2019)

A Silicon Resonant Accelerometer with Vibrating Beam Integrated with Comb Fingers Sensing Structure. - Ziyang Song; Jian Cui; Qiancheng Zhao (NEMS, 2019)

Variational Inference of Finite Asymmetric Gaussian Mixture Models. - Ziyang Song; Ornela Bregu; Samr Ali; Nizar Bouguila (SSCI, 2019)

Learning End-to-End Action Interaction by Paired-Embedding Data Augmentation. - Ziyang Song; Zejian Yuan; Chong Zhang; Wanchao Chi; Yonggen Ling; Shenghao Zhang (ACCV (6), 2020)

Attention-Oriented Action Recognition for Real- Time Human-Robot Interaction. - Ziyang Song; Ziyi Yin 001; Zejian Yuan; Chong Zhang; Wanchao Chi; Yonggen Ling; Shenghao Zhang (ICPR, 2020)

Nonparametric hierarchical mixture models based on asymmetric Gaussian distribution. - Ziyang Song; Samr Ali; Nizar Bouguila; Wentao Fan (Digit. Signal Process., 2020)

Background subtraction using infinite asymmetric Gaussian mixture models with simultaneous feature selection. - Ziyang Song; Samr Ali; Nizar Bouguila (IET Image Process., 2020)

Supervised multi-specialist topic model with applications on large-scale electronic health record data. - Ziyang Song; Xavier Sumba Toral; Yixin Xu; Aihua Liu; Liming Guo; Guido Powell; Aman Verma; David L. Buckeridge; Ariane Marelli; Yue Li (BCB, 2021)

Multi-scale Matching Networks for Semantic Correspondence. - Dongyang Zhao; Ziyang Song; Zhenghao Ji; Gangming Zhao; Weifeng Ge; Yizhou Yu (ICCV, 2021)

Outage Probability Analysis of HARQ-Aided Terahertz Communications. - Ziyang Song; Jiahui Feng; Zheng Shi 001; Qingping Dou; Guanghua Yang; Yunfei Li 007; Shaodan Ma (WCSP, 2021)

Bayesian inference for infinite asymmetric Gaussian mixture with feature selection. - Ziyang Song; Samr Ali; Nizar Bouguila (Soft Comput., 2021)

Automatic Phenotyping by a Seed-guided Topic Model. - Ziyang Song; Yuanyi Hu; Aman Verma; David L. Buckeridge; Yue Li (KDD, 2022)

OGC: Unsupervised 3D Object Segmentation from Rigid Dynamics of Point Clouds. - Ziyang Song; Bo Yang 027 (NeurIPS, 2022)

ActFormer: A GAN Transformer Framework towards General Action-Conditioned 3D Human Motion Generation. - Ziyang Song; Dongliang Wang; Nan Jiang; Zhicheng Fang; Chenjing Ding; Weihao Gan; Wei Wu 021 (CoRR, 2022)

Outage Probability Analysis of HARQ-Aided Terahertz Communications. - Ziyang Song; Zheng Shi 001; Qingping Dou; Guanghua Yang; Yunfei Li 007; Shaodan Ma (CoRR, 2022)

Secure HARQ-IR-Aided Terahertz Communications. - Yongkang Li; Ziyang Song; Zheng Shi 001; Qingping Dou; Hongjiang Lei; Jinming Wen; Junbin Fang (ICCC Workshops, 2023)

ActFormer: A GAN-based Transformer towards General Action-Conditioned 3D Human Motion Generation. - Liang Xu 012; Ziyang Song; Dongliang Wang; Jing Su 005; Zhicheng Fang; Chenjing Ding; Weihao Gan; Yichao Yan; Xin Jin 014; Xiaokang Yang 001; Wenjun Zeng 001; Wei Wu 021 (ICCV, 2023)

VSCHH 2023: A Benchmark for the View Synthesis Challenge of Human Heads. - Youngkyoon Jang; Jiali Zheng; Jifei Song; Helisa Dhamo; Eduardo Pérez-Pellitero; Thomas Tanay; Matteo Maggioni; Richard Shaw; Sibi Catley-Chandar; Yiren Zhou; Jiankang Deng; Ruijie Zhu 002; et al. (ICCV (Workshops), 2023)

NVFi: Neural Velocity Fields for 3D Physics Learning from Dynamic Videos. - Jinxi Li; Ziyang Song; Bo Yang 027 (NeurIPS, 2023)

The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation. - Lingdong Kong; Yaru Niu; Shaoyuan Xie; Hanjiang Hu; Lai Xing Ng; Benoit R. Cottereau; Ding Zhao; Liangjun Zhang; Hesheng Wang 001; Wei Tsang Ooi; Ruijie Zhu 002; Ziyang Song; et al. (CoRR, 2023)

EC-Depth: Exploring the consistency of self-supervised monocular depth estimation under challenging scenes. - Ruijie Zhu 002; Ziyang Song; Chuxin Wang; Jianfeng He; Tianzhu Zhang 001 (CoRR, 2023)

TimelyGPT: Recurrent Convolutional Transformer for Long Time-series Representation. - Ziyang Song; Qincheng Lu; Hao Xu; Yue Li (CoRR, 2023)

TIFace: Improving Facial Reconstruction through Tensorial Radiance Fields and Implicit Surfaces. - Ruijie Zhu 002; Jiahao Chang; Ziyang Song; Jiahuan Yu; Tianzhu Zhang 001 (CoRR, 2023)

Design and Evaluation of the Extended FBS Model Based Gaze-Control Power Wheelchair for Individuals Facing Manual Control Challenges. - Xiaochen Zhang; Jiazhen Li; Lingling Jin; Jie Zhao; Qianbo Huang; Ziyang Song; Xinyu Liu; Ding-Bang Luh (Sensors, 2023)

Performance Analysis and Optimal Design of HARQ-IR-Aided Terahertz Communications. - Ziyang Song; Zheng Shi 001; Jiaji Su; Qingping Dou; Guanghua Yang; Haichuan Ding; Shaodan Ma (IEEE Trans. Veh. Technol., 2023)

TimelyGPT: Extrapolatable Transformer Pre-training for Long-term Time-Series Forecasting in Healthcare. - Ziyang Song; Qincheng Lu; Hao Xu; He Zhu; David L. Buckeridge; Yue Li 055 (BCB, 2024)

MixEHR-Nest: Identifying Subphenotypes within Electronic Health Records through Hierarchical Guided-Topic Modeling. - Ruohan Wang; Zilong Wang; Ziyang Song; David L. Buckeridge; Yue Li 046 (BCB, 2024)

TRICKY 2024 Challenge on Monocular Depth from Images of Specular and Transparent Surfaces. - Pierluigi Zama Ramirez; Alex Costanzino; Fabio Tosi; Matteo Poggi; Luigi Di Stefano; Jean-Baptiste Weibel; Dominik Bauer; Doris Antensteiner; Markus Vincze; Jiaqi Li 007; Yachuan Huang; Junrui Zhang 003; et al. (ECCV Workshops (1), 2024)

UNO Arena for Evaluating Sequential Decision-Making Capability of Large Language Models. - Zhanyue Qin; Haochuan Wang; Deyuan Liu; Ziyang Song; Cunhang Fan; Zhao Lv; Jinlin Wu; Zhen Lei 001; Zhiying Tu; Dianhui Chu; Xiaoyan Yu; Dianbo Sui (EMNLP, 2024)

OSN: Infinite Representations of Dynamic 3D Scenes from Monocular Videos. - Ziyang Song; Jinxi Li; Bo Yang 027 (ICML, 2024)

Bidirectional Generative Pre-training for Improving Healthcare Time-series Representation Learning. - Ziyang Song; Qincheng Lu; He Zhu; David L. Buckeridge; Yue Li (MLHC, 2024)

Bidirectional Generative Pre-training for Improving Time Series Representation Learning. - Ziyang Song; Qincheng Lu; He Zhu; Yue Li (CoRR, 2024)

ScaleDepth: Decomposing Metric Depth Estimation into Scale Prediction and Relative Depth Estimation. - Ruijie Zhu 002; Chuxin Wang; Ziyang Song; Li Liu 067; Tianzhu Zhang 001; Yongdong Zhang 001 (CoRR, 2024)

TrajGPT: Irregular Time-Series Representation Learning for Health Trajectory Analysis. - Ziyang Song; Qingcheng Lu; He Zhu; David L. Buckeridge; Yue Li (CoRR, 2024)

MixEHR-Nest: Identifying Subphenotypes within Electronic Health Records through Hierarchical Guided-Topic Modeling. - Ruohan Wang; Zilong Wang; Ziyang Song; David L. Buckeridge; Yue Li (CoRR, 2024)

P2DFlow: A Protein Ensemble Generative Model with SE(3) Flow Matching. - Yaowei Jin; Qi Huang; Ziyang Song; Mingyue Zheng; Dan Teng; Qian Shi 005 (CoRR, 2024)

The Aerial Guide Dog: A Low-Cognitive-Load Indoor Electronic Travel Aid for Visually Impaired Individuals. - Xiaochen Zhang; Ziyi Pan; Ziyang Song; Yang Zhang; Wujing Li; Shiyao Ding (Sensors, 2024)

HA-Bins: Hierarchical Adaptive Bins for Robust Monocular Depth Estimation Across Multiple Datasets. - Ruijie Zhu 002; Ziyang Song; Li Liu 067; Jianfeng He; Tianzhu Zhang 001; Yongdong Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Unsupervised 3D Object Segmentation of Point Clouds by Geometry Consistency. - Ziyang Song; Bo Yang 027 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

FreeGave: 3D Physics Learning from Dynamic Videos by Gaussian Velocity. - Jinxi Li; Ziyang Song; Siyuan Zhou; Bo Yang (CVPR, 2025)

Modeling the Collaborative Edge Data Caching Problem via a Dynamic DCOP. - Ziyang Song; Ziyu Chen; Jinhui Huang; Cheng Zhang; Jingyuan He (AAMAS, 2025)

DepthMaster: Taming Diffusion Models for Monocular Depth Estimation. - Ziyang Song; Zerong Wang; Bo Li 115; Hao Zhang 063; Ruijie Zhu 002; Li Liu 067; Peng-Tao Jiang; Tianzhu Zhang 001 (CoRR, 2025)

Plane2Depth: Hierarchical Adaptive Plane Guidance for Monocular Depth Estimation. - Li Liu 067; Ruijie Zhu 002; Jiacheng Deng 002; Ziyang Song; Wenfei Yang; Tianzhu Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Multimodal Causal-Driven Representation Learning for Generalizable Medical Image Segmentation. - Xusheng Liang; Lihua Zhou; Nianxin Li; Miao Xu; Ziyang Song; Dong Yi; Jinlin Wu; Hongbin Liu 001; Jiebo Luo 001; Zhen Lei 001 (CoRR, 2025)

TRACE: Learning 3D Gaussian Physical Dynamics from Multi-view Videos. - Jinxi Li; Ziyang Song; Bo Yang (CoRR, 2025)

Efficient textile anomaly detection via memory guided distillation network. - Jingyu Yang; Haochen Wang; Ziyang Song; Feng Guo; Huanjing Yue (J. Intell. Manuf., 2025)