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Yan Zheng 0001
Person information
- affiliation: Visa Research, Palo Alto, CA, USA
- affiliation (PhD 2017): University of Utah, School of Computing, Salt Lake City, UT, USA
Other persons with the same name
- Yan Zheng — disambiguation page
- Yan Zheng 0002 — Tianjin University, China
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2020 – today
- 2024
- [j6]Archit Rathore
, Sunipa Dev
, Jeff M. Phillips
, Vivek Srikumar
, Yan Zheng
, Chin-Chia Michael Yeh
, Junpeng Wang
, Wei Zhang
, Bei Wang
:
VERB: Visualizing and Interpreting Bias Mitigation Techniques Geometrically for Word Representations. ACM Trans. Interact. Intell. Syst. 14(1): 3:1-3:34 (2024) - [j5]Yiran Li
, Junpeng Wang
, Prince Osei Aboagye, Chin-Chia Michael Yeh, Yan Zheng, Liang Wang, Wei Zhang, Kwan-Liu Ma
:
Visual Analytics for Efficient Image Exploration and User-Guided Image Captioning. IEEE Trans. Vis. Comput. Graph. 30(6): 2875-2887 (2024) - [c38]Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Xin Dai, Yan Zheng, Liang Wang, Wei Zhang:
PromptLandscape: Guiding Prompts Exploration and Analysis with Visualization. PacificVis 2024: 319-324 - [c37]Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh:
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies. SDM 2024: 37-45 - [c36]Huiyuan Chen
, Zhe Xu
, Chin-Chia Michael Yeh
, Vivian Lai
, Yan Zheng
, Minghua Xu
, Hanghang Tong
:
Masked Graph Transformer for Large-Scale Recommendation. SIGIR 2024: 2502-2506 - [i36]Prince Osei Aboagye, Yan Zheng, Junpeng Wang, Uday Singh Saini, Xin Dai, Chin-Chia Michael Yeh, Yujie Fan, Zhongfang Zhuang, Shubham Jain, Liang Wang, Wei Zhang:
Has Your Pretrained Model Improved? A Multi-head Posterior Based Approach. CoRR abs/2401.02987 (2024) - [i35]Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh:
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies. CoRR abs/2401.09489 (2024) - [i34]Chin-Chia Michael Yeh, Yujie Fan, Xin Dai, Vivian Lai, Prince Osei Aboagye, Junpeng Wang, Huiyuan Chen, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang:
Random Projection Layers for Multidimensional Time Series Forecasting. CoRR abs/2402.10487 (2024) - [i33]Haoyu Li, Junpeng Wang, Yan Zheng, Liang Wang, Wei Zhang, Han-Wei Shen:
Compressing and Interpreting Word Embeddings with Latent Space Regularization and Interactive Semantics Probing. CoRR abs/2403.16815 (2024) - [i32]Huiyuan Chen, Zhe Xu, Chin-Chia Michael Yeh, Vivian Lai, Yan Zheng, Minghua Xu, Hanghang Tong:
Masked Graph Transformer for Large-Scale Recommendation. CoRR abs/2405.04028 (2024) - 2023
- [j4]Haoyu Li
, Junpeng Wang, Yan Zheng, Liang Wang, Wei Zhang, Han-Wei Shen:
Compressing and interpreting word embeddings with latent space regularization and interactive semantics probing. Inf. Vis. 22(1): 52-68 (2023) - [j3]Yiran Li, Junpeng Wang
, Xin Dai, Liang Wang, Chin-Chia Michael Yeh, Yan Zheng, Wei Zhang, Kwan-Liu Ma:
How Does Attention Work in Vision Transformers? A Visual Analytics Attempt. IEEE Trans. Vis. Comput. Graph. 29(6): 2888-2900 (2023) - [j2]Junpeng Wang
, Liang Wang, Yan Zheng, Chin-Chia Michael Yeh, Shubham Jain
, Wei Zhang:
Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework. IEEE Trans. Vis. Comput. Graph. 29(9): 3809-3825 (2023) - [c35]Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, Eamonn J. Keogh:
Sketching Multidimensional Time Series for Fast Discord Mining. IEEE Big Data 2023: 443-452 - [c34]Chin-Chia Michael Yeh, Huiyuan Chen, Yujie Fan, Xin Dai, Yan Zheng, Vivian Lai, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh:
Ego-Network Transformer for Subsequence Classification in Time Series Data. IEEE Big Data 2023: 1242-1247 - [c33]Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh:
Time Series Synthesis Using the Matrix Profile for Anonymization. IEEE Big Data 2023: 1908-1911 - [c32]Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Yujie Fan, Vivian Lai, Junpeng Wang, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang:
Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights. IEEE Big Data 2023: 1994-1997 - [c31]Yujie Fan
, Chin-Chia Michael Yeh
, Huiyuan Chen
, Yan Zheng
, Liang Wang
, Junpeng Wang
, Xin Dai
, Zhongfang Zhuang
, Wei Zhang
:
Spatial-Temporal Graph Boosting Networks: Enhancing Spatial-Temporal Graph Neural Networks via Gradient Boosting. CIKM 2023: 504-513 - [c30]Dongyu Zhang
, Liang Wang
, Xin Dai
, Shubham Jain
, Junpeng Wang
, Yujie Fan
, Chin-Chia Michael Yeh
, Yan Zheng
, Zhongfang Zhuang
, Wei Zhang
:
FATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data. CIKM 2023: 3247-3256 - [c29]Chin-Chia Michael Yeh
, Xin Dai
, Huiyuan Chen
, Yan Zheng
, Yujie Fan
, Audrey Der
, Vivian Lai
, Zhongfang Zhuang
, Junpeng Wang
, Liang Wang
, Wei Zhang
:
Toward a Foundation Model for Time Series Data. CIKM 2023: 4400-4404 - [c28]Chin-Chia Michael Yeh
, Huiyuan Chen
, Xin Dai
, Yan Zheng
, Junpeng Wang
, Vivian Lai
, Yujie Fan
, Audrey Der
, Zhongfang Zhuang
, Liang Wang
, Wei Zhang
, Jeff M. Phillips
:
An Efficient Content-based Time Series Retrieval System. CIKM 2023: 4909-4915 - [c27]Prince Osei Aboagye, Yan Zheng, Jack Shunn, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips:
Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization. ICLR 2023 - [c26]Chin-Chia Michael Yeh, Xin Dai, Yan Zheng, Junpeng Wang, Huiyuan Chen, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang:
Multitask Learning for Time Series Data with 2D Convolution. ICMLA 2023: 9-16 - [c25]Huiyuan Chen, Kaixiong Zhou, Zhimeng Jiang, Chin-Chia Michael Yeh, Xiaoting Li, Menghai Pan, Yan Zheng, Xia Hu, Hao Yang:
Probabilistic Masked Attention Networks for Explainable Sequential Recommendation. IJCAI 2023: 2068-2076 - [c24]Yan Zheng, Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Huiyuan Chen, Liang Wang, Wei Zhang:
EmbeddingTree: Hierarchical Exploration of Entity Features in Embedding. PacificVis 2023: 217-221 - [c23]Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Liang Wang, Zhongfang Zhuang, Junpeng Wang, Xin Dai, Yan Zheng, Wei Zhang:
Spatial-Temporal Graph Sandwich Transformer for Traffic Flow Forecasting. ECML/PKDD (7) 2023: 210-225 - [c22]Huiyuan Chen
, Xiaoting Li
, Vivian Lai
, Chin-Chia Michael Yeh
, Yujie Fan
, Yan Zheng
, Mahashweta Das
, Hao Yang
:
Adversarial Collaborative Filtering for Free. RecSys 2023: 245-255 - [c21]Huiyuan Chen
, Kaixiong Zhou
, Kwei-Herng Lai
, Chin-Chia Michael Yeh
, Yan Zheng
, Xia Hu
, Hao Yang
:
Hessian-aware Quantized Node Embeddings for Recommendation. RecSys 2023: 757-762 - [c20]Huiyuan Chen
, Chin-Chia Michael Yeh
, Yujie Fan
, Yan Zheng
, Junpeng Wang
, Vivian Lai
, Mahashweta Das
, Hao Yang
:
Sharpness-Aware Graph Collaborative Filtering. SIGIR 2023: 2369-2373 - [i31]Yiran Li, Junpeng Wang, Xin Dai, Liang Wang, Chin-Chia Michael Yeh, Yan Zheng, Wei Zhang, Kwan-Liu Ma:
How Does Attention Work in Vision Transformers? A Visual Analytics Attempt. CoRR abs/2303.13731 (2023) - [i30]Xin Dai, Yujie Fan, Zhongfang Zhuang, Shubham Jain, Chin-Chia Michael Yeh, Junpeng Wang, Liang Wang, Yan Zheng, Wei Zhang:
PDT: Pretrained Dual Transformers for Time-aware Bipartite Graphs. CoRR abs/2306.01913 (2023) - [i29]Huiyuan Chen, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Junpeng Wang, Vivian Lai, Mahashweta Das, Hao Yang:
Sharpness-Aware Graph Collaborative Filtering. CoRR abs/2307.08910 (2023) - [i28]Yan Zheng, Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Huiyuan Chen, Liang Wang, Wei Zhang:
EmbeddingTree: Hierarchical Exploration of Entity Features in Embedding. CoRR abs/2308.01329 (2023) - [i27]Huiyuan Chen, Xiaoting Li, Vivian Lai, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Mahashweta Das, Hao Yang:
Adversarial Collaborative Filtering for Free. CoRR abs/2308.13541 (2023) - [i26]Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Chin-Chia Michael Yeh, Yan Zheng, Xia Hu, Hao Yang:
Hessian-aware Quantized Node Embeddings for Recommendation. CoRR abs/2309.01032 (2023) - [i25]Chin-Chia Michael Yeh, Xin Dai, Huiyuan Chen, Yan Zheng, Yujie Fan, Audrey Der, Vivian Lai, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang:
Toward a Foundation Model for Time Series Data. CoRR abs/2310.03916 (2023) - [i24]Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Junpeng Wang, Vivian Lai, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang, Jeff M. Phillips:
An Efficient Content-based Time Series Retrieval System. CoRR abs/2310.03919 (2023) - [i23]Chin-Chia Michael Yeh, Xin Dai, Yan Zheng, Junpeng Wang, Huiyuan Chen, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang:
Multitask Learning for Time Series Data with 2D Convolution. CoRR abs/2310.03925 (2023) - [i22]Dongyu Zhang, Liang Wang, Xin Dai, Shubham Jain, Junpeng Wang, Yujie Fan, Chin-Chia Michael Yeh, Yan Zheng, Zhongfang Zhuang, Wei Zhang:
FATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data. CoRR abs/2310.13818 (2023) - [i21]Yiran Li, Junpeng Wang, Prince Osei Aboagye, Chin-Chia Michael Yeh, Yan Zheng, Liang Wang, Wei Zhang, Kwan-Liu Ma:
Visual Analytics for Efficient Image Exploration and User-Guided Image Captioning. CoRR abs/2311.01016 (2023) - [i20]Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Yujie Fan, Vivian Lai, Junpeng Wang, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang:
Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights. CoRR abs/2311.02560 (2023) - [i19]Chin-Chia Michael Yeh, Huiyuan Chen, Yujie Fan, Xin Dai, Yan Zheng, Vivian Lai, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh:
Ego-Network Transformer for Subsequence Classification in Time Series Data. CoRR abs/2311.02561 (2023) - [i18]Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh:
Time Series Synthesis Using the Matrix Profile for Anonymization. CoRR abs/2311.02563 (2023) - [i17]Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, Eamonn J. Keogh:
Sketching Multidimensional Time Series for Fast Discord Mining. CoRR abs/2311.03393 (2023) - 2022
- [c19]Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips:
Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces. AMTA 2022: 200-214 - [c18]Liang Wang, Junpeng Wang, Yan Zheng, Shubham Jain
, Chin-Chia Michael Yeh, Zhongfang Zhuang, Javid Ebrahimi, Wei Zhang:
Learning from Disagreement for Event Detection. IEEE Big Data 2022: 2411-2418 - [c17]Audrey Der, Chin-Chia Michael Yeh, Renjie Wu, Junpeng Wang, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh:
Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series. ICKG 2022: 40-47 - [c16]Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Liang Wang, Hao Yang, Jeff M. Phillips:
Normalization of Language Embeddings for Cross-Lingual Alignment. ICLR 2022 - [c15]Chin-Chia Michael Yeh, Mengting Gu, Yan Zheng, Huiyuan Chen, Javid Ebrahimi, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang:
Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph. KDD 2022: 4391-4401 - [c14]Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang:
Denoising Self-Attentive Sequential Recommendation. RecSys 2022: 92-101 - [c13]Huiyuan Chen, Xiaoting Li, Kaixiong Zhou, Xia Hu, Chin-Chia Michael Yeh, Yan Zheng, Hao Yang:
TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems. RecSys 2022: 257-267 - [c12]Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Wei Zhang, Eamonn J. Keogh:
Error-bounded Approximate Time Series Joins using Compact Dictionary Representations of Time Series. SDM 2022: 181-189 - [i16]Junpeng Wang, Liang Wang, Yan Zheng, Chin-Chia Michael Yeh, Shubham Jain, Wei Zhang:
Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework. CoRR abs/2201.07849 (2022) - [i15]Chin-Chia Michael Yeh, Mengting Gu, Yan Zheng, Huiyuan Chen, Javid Ebrahimi, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang:
Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph. CoRR abs/2208.05648 (2022) - [i14]Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips:
Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces. CoRR abs/2212.02468 (2022) - [i13]Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang:
Denoising Self-attentive Sequential Recommendation. CoRR abs/2212.04120 (2022) - [i12]Huiyuan Chen, Xiaoting Li, Kaixiong Zhou, Xia Hu, Chin-Chia Michael Yeh, Yan Zheng, Hao Yang:
TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems. CoRR abs/2212.04540 (2022) - [i11]Audrey Der, Chin-Chia Michael Yeh, Renjie Wu, Junpeng Wang, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh:
Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series. CoRR abs/2212.06146 (2022) - 2021
- [j1]Yan Zheng
, Yi Ou, Alexander Lex
, Jeff M. Phillips:
Visualization of Big Spatial Data Using Coresets for Kernel Density Estimates. IEEE Trans. Big Data 7(3): 524-534 (2021) - [c11]Chin-Chia Michael Yeh, Zhongfang Zhuang, Junpeng Wang, Yan Zheng, Javid Ebrahimi, Ryan Mercer, Liang Wang, Wei Zhang:
Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks. CIKM 2021: 4331-4340 - [c10]Yuwei Wang, Yan Zheng, Yanqing Peng
, Chin-Chia Michael Yeh, Zhongfang Zhuang, Mahashweta Das, Mangesh Bendre, Feifei Li, Wei Zhang, Jeff M. Phillips:
Constrained Non-Affine Alignment of Embeddings. ICDM 2021: 1403-1408 - [c9]Archit Rathore, Sunipa Dev, Vivek Srikumar, Jeff M. Phillips, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang:
An Interactive Visual Demo of Bias Mitigation Techniques for Word Representations From a Geometric Perspective. NeurIPS (Competition and Demos) 2021: 330-335 - [i10]Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang:
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations. CoRR abs/2104.02797 (2021) - [i9]Chin-Chia Michael Yeh, Zhongfang Zhuang, Junpeng Wang, Yan Zheng, Javid Ebrahimi, Ryan Mercer, Liang Wang, Wei Zhang:
Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks. CoRR abs/2109.10020 (2021) - [i8]Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Wei Zhang, Eamonn J. Keogh:
Error-bounded Approximate Time Series Joins using Compact Dictionary Representations of Time Series. CoRR abs/2112.12965 (2021) - 2020
- [c8]Chin-Chia Michael Yeh, Zhongfang Zhuang, Yan Zheng, Liang Wang, Junpeng Wang, Wei Zhang:
Merchant Category Identification Using Credit Card Transactions. IEEE BigData 2020: 1736-1744 - [c7]Chin-Chia Michael Yeh, Dhruv Gelda, Zhongfang Zhuang, Yan Zheng, Liang Gou, Wei Zhang:
Towards a Flexible Embedding Learning Framework. ICDM (Workshops) 2020: 605-612 - [i7]Chin-Chia Michael Yeh, Dhruv Gelda, Zhongfang Zhuang, Yan Zheng, Liang Gou, Wei Zhang:
Towards a Flexible Embedding Learning Framework. CoRR abs/2009.10989 (2020) - [i6]Chin-Chia Michael Yeh, Zhongfang Zhuang, Yan Zheng, Liang Wang, Junpeng Wang, Wei Zhang:
Merchant Category Identification Using Credit Card Transactions. CoRR abs/2011.02602 (2020)
2010 – 2019
- 2019
- [i5]Yuwei Wang, Yan Zheng, Yanqing Peng, Wei Zhang, Feifei Li:
Feature Detection and Attenuation in Embeddings. CoRR abs/1910.05862 (2019) - 2018
- [c6]Yang Gao, Jeff M. Phillips, Yan Zheng, Renqiang Min, P. Thomas Fletcher, Guido Gerig
:
Fully convolutional structured LSTM networks for joint 4D medical image segmentation. ISBI 2018: 1104-1108 - 2017
- [b1]Yan Zheng:
Algorithms and Coresets for Large-Scale Kernel Smoothing. University of Utah, USA, 2017 - [c5]Yan Zheng, Jeff M. Phillips:
Coresets for Kernel Regression. KDD 2017: 645-654 - [i4]Yan Zheng, Jeff M. Phillips:
Coresets for Kernel Regression. CoRR abs/1702.03644 (2017) - [i3]Yan Zheng, Yi Ou, Alexander Lex, Jeff M. Phillips:
Visualization of Big Spatial Data using Coresets for Kernel Density Estimates. CoRR abs/1709.04453 (2017) - 2015
- [c4]Jeff M. Phillips, Yan Zheng:
Subsampling in Smoothed Range Spaces. ALT 2015: 224-238 - [c3]Jeff M. Phillips, Bei Wang, Yan Zheng:
Geometric Inference on Kernel Density Estimates. SoCG 2015: 857-871 - [c2]Yan Zheng, Jeff M. Phillips:
L∞ Error and Bandwidth Selection for Kernel Density Estimates of Large Data. KDD 2015: 1533-1542 - [i2]Jeff M. Phillips, Yan Zheng:
Subsampling in Smoothed Range Spaces. CoRR abs/1510.09123 (2015) - 2013
- [c1]Yan Zheng, Jeffrey Jestes, Jeff M. Phillips, Feifei Li:
Quality and efficiency for kernel density estimates in large data. SIGMOD Conference 2013: 433-444 - [i1]Jeff M. Phillips, Bei Wang, Yan Zheng:
Geometric Inference on Kernel Density Estimates. CoRR abs/1307.7760 (2013)
Coauthor Index
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