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Online Importance Sampling for Stochastic Gradient Optimization
Corentin Salaün, Xingchang Huang, Iliyan Georgiev, Niloy J. Mitra, Gurprit Singh
ICPRAM (full paper), 2025
[Arxiv]
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Multiple Importance Sampling for Stochastic Gradient Estimation
Corentin Salaün, Xingchang Huang, Iliyan Georgiev, Niloy J. Mitra, Gurprit Singh
ICPRAM (short paper), 2025
[Arxiv]
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Blue noise for diffusion models
Xingchang Huang, Corentin Salaün, Cristina Vasconcelos, Christian Theobalt, Cengiz Öztireli, Gurprit Singh
SIGGRAPH (Conference Proceedings), 2024
[Project webpage] [Graphics replicability stamp]
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Patternshop: Editing Point Patterns by Image Manipulation
Xingchang Huang, Tobias Ritschel, Hans-Peter Seidel, Pooran Memari, Gurprit Singh
SIGGRAPH (ACM Transactions on Graphics), 2023
[Project webpage]
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Point-Pattern Synthesis using Gabor and Random Filters
Xingchang Huang, Pooran Memari, Hans-Peter Seidel, Gurprit Singh
Eurographics Symposium on Rendering (Computer Graphics Forum), 2022
[Project webpage]
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Deep Reconstruction of 3D Smoke Densities from Artist Sketches
Byungsoo Kim, Xingchang Huang, Laura Wuelfroth, Jingwei Tang, Guillaume Cordonnier, Markus Gross, Barbara Solenthaler
Eurographics (Computer Graphics Forum), 2022
[Project webpage]
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Sketch-Based 4D Prototyping for Smoke Simulations
Examiner: Byungsoo Kim, Markus Gross
Master Thesis at ETH Zurich, 2020
[Paper]
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Continual learning of a mixed sequence of similar and dissimilar tasks
Zixuan Ke, Bing Liu, Xingchang Huang
Advances in Neural Information Processing Systems (NeurIPS), 2020
[Paper] [Supplemental] [Code]
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Facial Expression Recognition with Identity and Emotion Joint Learning
Ming Li, Hao Xu, Xingchang Huang, Zhanmei Song, Xiaolin Liu, Xin Li
IEEE Transactions on Affective Computing (TAC), 2018
[Paper] [Code]
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Cross-Domain Sentiment Classification via Topic-Related TrAdaBoost
Xingchang Huang, Yanghui Rao, Haoran Xie, Tak-Lam Wong, Fu Lee Wang
AAAI Conference on Artificial Intelligence (AAAI poster), 2017
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