Yang Ni

1. Graphical Dirichlet Process for Clustering Non-Exchangeable Grouped Data
   2023/02/17 by Arhit Chakrabarti, Chakrabarti, Arhit, Yang Ni +9 · 2 citations
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
2. TaskCLIP: Extend Large Vision-Language Model for Task Oriented Object Detection
   2024/03/12 by Hanning Chen, Wenjun Huang, Chen, Hanning +13 · 2 citations
   Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Robotics and Automated Systems
3. HDReason: Algorithm-Hardware Codesign for Hyperdimensional Knowledge Graph Reasoning
   2024/03/09 by Hanning Chen, Yang Ni, Chen, Hanning +17 · 2 citations
   Computer Science · #Semantic Web and Ontologies #AI-based Problem Solving and Planning #Cognitive Computing and Networks
4. A defined microbial community reproduces attributes of fine flavour chocolate fermentation
   2025/08/18 by David Gopaulchan, Christopher Moore, Nobakht Ali +10 · 3 voices · 1 citation
   Agricultural and Biological Sciences · Biochemistry, Genetics and Molecular Biology · #Food Chemistry and Fat Analysis #Microbial Metabolic Engineering and Bioproduction #Fermentation and Sensory Analysis
5. Heterogeneous Reciprocal Graphical Models
   2016/12/19 by Yang Ni, Peter Müeller, Ni, Yang +5 · 1 citation
   Biochemistry, Genetics and Molecular Biology · #Bioinformatics and Genomic Networks #Gene expression and cancer classification #Gene Regulatory Network Analysis
6. Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data
   2023/10/31 by Saptarshi Roy, Raymond K. W. Wong, Roy, Saptarshi +3 · 1 citation
   Computer Science · #Bayesian Modeling and Causal Inference #Blind Source Separation Techniques #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME)
7. Functional Bayesian Networks for Discovering Causality from Multivariate Functional Data
   2022/10/23 by Fangting Zhou, Zhou, Fangting, Kejun He +7 · 1 citation
   Biochemistry, Genetics and Molecular Biology · Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Metabolomics and Mass Spectrometry Studies #Methodology (stat.ME) #Rough Sets and Fuzzy Logic
8. The life cycle of giant molecular clouds in simulated Milky Way-mass galaxies
   2025/02/17 by Yang Ni, Hui Li, Ni, Yang +9 · 2 citations
   Physics and Astronomy · Chemistry · Engineering · #Astrophysics and Star Formation Studies #Fullerene Chemistry and Applications #Photocathodes and Microchannel Plates
9. Robust Bayesian Graphical Regression Models for Assessing Tumor Heterogeneity in Proteomic Networks
   2023/10/27 by Tsung-Hung Yao, Yao, Tsung-Hung, Yang Ni +7 · 1 citation
   Biochemistry, Genetics and Molecular Biology · Computer Science · #Bioinformatics and Genomic Networks #Computational Drug Discovery Methods #FOS: Computer and information sciences #Metabolomics and Mass Spectrometry Studies #Methodology (stat.ME)
10. Distributional Determinantal Point Process for Repulsive Clustering of Distributions
    2026/07/23 by Khai Nguyen, Yang Ni, Elizabeth Juarez-Colunga +1
    #stat.ME #cs.LG #stat.AP #stat.CO #stat.ML