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2020 – today
- 2024
[i4]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 abs/2402.07158 (2024)
2010 – 2019
- 2019
- [c11]Iryna Korshunova, Hanchen Xiong, Mateusz Fedoryszak, Lucas Theis:
Discriminative Topic Modeling with Logistic LDA. NeurIPS 2019: 6767-6777 - [i3]Iryna Korshunova, Hanchen Xiong, Mateusz Fedoryszak, Lucas Theis:
Discriminative Topic Modeling with Logistic LDA. CoRR abs/1909.01436 (2019) - 2018
- [i2]Dan Shiebler, Luca Belli, Jay Baxter, Hanchen Xiong, Abhishek Tayal:
Fighting Redundancy and Model Decay with Embeddings. CoRR abs/1809.07703 (2018) - 2016
- [j4]Hanchen Xiong, Sándor Szedmák
, Justus H. Piater:
Learning undirected graphical models using persistent sequential Monte Carlo. Mach. Learn. 103(2): 239-260 (2016) - [c10]Antonio Jose Rodríguez-Sánchez, Sabine Oberleiter, Hanchen Xiong, Justus H. Piater:
Learning V4 Curvature Cell Populations from Sparse Endstopped Cells. ICANN (2) 2016: 463-471 - [i1]Philipp Zech, Hanchen Xiong, Justus H. Piater:
Active and Transfer Learning of Grasps by Kernel Adaptive MCMC. CoRR abs/1611.06368 (2016) - 2015
- [j3]Hanchen Xiong, Antonio Jose Rodríguez-Sánchez, Sándor Szedmák, Justus H. Piater:
Diversity priors for learning early visual features. Frontiers Comput. Neurosci. 9: 104 (2015) - [j2]Hanchen Xiong, Sándor Szedmák, Justus H. Piater:
Scalable, accurate image annotation with joint SVMs and output kernels. Neurocomputing 169: 205-214 (2015) - [j1]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): 140-154 (2015) - [c9]Wail Mustafa, Hanchen Xiong, Dirk Kraft, Sándor Szedmák, Justus H. Piater, Norbert Krüger:
Multi-label Object Categorization Using Histograms of Global Relations. 3DV 2015: 309-317 - [c8]Senka Krivic, Sándor Szedmák, Hanchen Xiong, Justus H. Piater:
Learning missing edges via kernels in partially-known graphs. ESANN 2015 - 2014
- [c7]Hanchen Xiong, Sándor Szedmák, Justus H. Piater:
Towards Maximum Likelihood: Learning Undirected Graphical Models using Persistent Sequential Monte Carlo. ACML 2014 - [c6]Hanchen Xiong, Sándor Szedmák, Justus H. Piater:
Joint SVM for Accurate and Fast Image Tagging. ESANN 2014 - [c5]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: 419-426 - 2013
- [c4]Hanchen Xiong, Sándor Szedmák, Justus H. Piater:
A Study of Point Cloud Registration with Probability Product Kernel Functions. 3DV 2013: 207-214 - [c3]Hanchen Xiong, Sándor Szedmák, Justus H. Piater:
Efficient, General Point Cloud Registration with Kernel Feature Maps. CRV 2013: 83-90 - [c2]Hanchen Xiong, Sándor Szedmák, Justus H. Piater:
3D Object Class Geometry Modeling with Spatial Latent Dirichlet Markov Random Fields. GCPR 2013: 51-60 - [c1]Hanchen Xiong, Sándor Szedmák, Justus H. Piater:
Homogeneity analysis for object-action relation reasoning in kitchen scenarios. MLIS@IJCAI 2013: 37-44
Coauthor Index
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