Hanchen Xiong

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 7

Top Topics

Margin Maximization

Bayesian Learning

Undirected Graphical Models

Top Venues

Publications

Claudionor N. Coelho Jr, Hanchen Xiong, Tushar Karayil, Sree Koratala, Rex Shang, Jacob Bollinger, Mohamed Shabar, Syam Nair
Effort and Size Estimation in Software Projects with Large Language Model-based Intelligent Interfaces. CoRR (2024)
Iryna Korshunova, Hanchen Xiong, Mateusz Fedoryszak, Lucas Theis
Discriminative Topic Modeling with Logistic LDA. NeurIPS (2019)
Iryna Korshunova, Hanchen Xiong, Mateusz Fedoryszak, Lucas Theis
Discriminative Topic Modeling with Logistic LDA. CoRR (2019)
Dan Shiebler, Luca Belli, Jay Baxter, Hanchen Xiong, Abhishek Tayal
Fighting Redundancy and Model Decay with Embeddings. CoRR (2018)
Hanchen Xiong, Sándor Szedmák, Justus H. Piater
Learning undirected graphical models using persistent sequential Monte Carlo. Mach. Learn. 103 (2) (2016)
Antonio Jose Rodríguez-Sánchez, Sabine Oberleiter, Hanchen Xiong, Justus H. Piater
Learning V4 Curvature Cell Populations from Sparse Endstopped Cells. ICANN (2) (2016)
Philipp Zech, Hanchen Xiong, Justus H. Piater
Active and Transfer Learning of Grasps by Kernel Adaptive MCMC. CoRR (2016)
Wail Mustafa, Hanchen Xiong, Dirk Kraft, Sándor Szedmák, Justus H. Piater, Norbert Krüger
Multi-label Object Categorization Using Histograms of Global Relations. 3DV (2015)
Senka Krivic, Sándor Szedmák, Hanchen Xiong, Justus H. Piater
Learning missing edges via kernels in partially-known graphs. ESANN (2015)
Florentin Wörgötter, Christopher W. Geib, Minija Tamosiunaite, Eren Erdal Aksoy, Justus H. Piater, Hanchen Xiong, Ales Ude, Bojan Nemec, Dirk Kraft, Norbert Krüger, Mirko Wächter, Tamim Asfour
Structural Bootstrapping - A Novel, Generative Mechanism for Faster and More Efficient Acquisition of Action-Knowledge. IEEE Trans. Auton. Ment. Dev. 7 (2) (2015)
Hanchen Xiong, Antonio Jose Rodríguez-Sánchez, Sándor Szedmák, Justus H. Piater
Diversity priors for learning early visual features. Frontiers Comput. Neurosci. 9 (2015)
Hanchen Xiong, Sándor Szedmák, Justus H. Piater
Scalable, accurate image annotation with joint SVMs and output kernels. Neurocomputing 169 (2015)
Hanchen Xiong, Sándor Szedmák, Justus H. Piater
Joint SVM for Accurate and Fast Image Tagging. ESANN (2014)
Hanchen Xiong, Sándor Szedmák, Justus H. Piater
Towards Maximum Likelihood: Learning Undirected Graphical Models using Persistent Sequential Monte Carlo. ACML (2014)
Hanchen Xiong, Sándor Szedmák, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
Towards Sparsity and Selectivity: Bayesian Learning of Restricted Boltzmann Machine for Early Visual Features. ICANN (2014)
Hanchen Xiong, Sándor Szedmák, Justus H. Piater
3D Object Class Geometry Modeling with Spatial Latent Dirichlet Markov Random Fields. GCPR (2013)
Hanchen Xiong, Sándor Szedmák, Justus H. Piater
A Study of Point Cloud Registration with Probability Product Kernel Functions. 3DV (2013)
Hanchen Xiong, Sándor Szedmák, Justus H. Piater
Efficient, General Point Cloud Registration with Kernel Feature Maps. CRV (2013)
Hanchen Xiong, Sándor Szedmák, Justus H. Piater
Homogeneity analysis for object-action relation reasoning in kitchen scenarios. MLIS@IJCAI (2013)