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ORCIDLiwei Wang 0001
王立威
Person information
- unicode name: 王立威
- affiliation: Peking University, Department of Machine Intelligence, Beijing, China
Other persons with the same name
- Liwei Wang (aka: Li-wei Wang, Li-Wei Wang) — disambiguation page
- Liwei Wang 0002 — University of British Columbia, Okanagan, Canada (and 1 more)
- Liwei Wang 0003 — Electronics Research Institute of the Ministry of Industry and Information Technology, Guangzhou, China
- Liwei Wang 0004 — University of Birmingham, UK
- Liwei Wang 0005 — Beijing University of Posts and Telecommunications, China
- Liwei Wang 0006 — Jiangsu University of Science and Technology, China
- Liwei Wang 0007 — Harbin Engineering University, China
- Liwei Wang 0008 — Pharmaceutical Product Development Inc, Morrisville, NC, USA
- Liwei Wang 0009
![[0000-0003-3264-1294]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3264-1294")
— University of Illinois at Urbana Champaign, USA - Liwei Wang 0010 — Mayo Clinic, Rochester, MN, USA (and 1 more)
- Liwei Wang 0011 — Wuhan University, China
- Liwei Wang 0012 — Tencent AI Lab, Bellevue, USA
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2020 – today
- 2020
[j25]Aoxue Li, Zhiwu Lu, Jiechao Guan, Tao Xiang, Liwei Wang, Ji-Rong Wen:
Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning. Int. J. Comput. Vis. 128(12): 2810-2827 (2020)- [c50]Dong Wang, Yuan Zhang, Kexin Zhang, Liwei Wang:
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection. CVPR 2020: 3950-3959 - [c49]Aoxue Li, Weiran Huang, Xu Lan, Jiashi Feng, Zhenguo Li, Liwei Wang:
Boosting Few-Shot Learning With Adaptive Margin Loss. CVPR 2020: 12573-12581 - [c48]Jiadong Lin, Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft:
Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks. ICLR 2020 - [c47]Tiange Luo, Kaichun Mo, Zhiao Huang, Jiarui Xu, Siyu Hu, Liwei Wang, Hao Su:
Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories. ICLR 2020 - [c46]Chuanbiao Song, Kun He, Jiadong Lin, Liwei Wang, John E. Hopcroft:
Robust Local Features for Improving the Generalization of Adversarial Training. ICLR 2020 - [c45]Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang:
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius. ICLR 2020 - [c44]Dong Wang, Kexin Zhang, Jia Ding, Liwei Wang:
Improve Bone Age Assessment by Learning from Anatomical Local Regions. MICCAI (6) 2020: 631-640 - [c43]Kai Zheng, Tianle Cai, Weiran Huang, Zhenguo Li, Liwei Wang:
Locally Differentially Private (Contextual) Bandits Learning. NeurIPS 2020 - [c42]Jingtong Su, Yihang Chen, Tianle Cai, Tianhao Wu, Ruiqi Gao, Liwei Wang, Jason D. Lee:
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot. NeurIPS 2020 - [i49]Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang:
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius. CoRR abs/2001.02378 (2020) - [i48]Ruibin Xiong, Yunchang Yang, Di He, Kai Zheng, Shuxin Zheng, Chen Xing, Huishuai Zhang, Yanyan Lan, Liwei Wang, Tie-Yan Liu:
On Layer Normalization in the Transformer Architecture. CoRR abs/2002.04745 (2020) - [i47]Tiange Luo, Kaichun Mo, Zhiao Huang, Jiarui Xu, Siyu Hu, Liwei Wang, Hao Su:
Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories. CoRR abs/2002.06478 (2020) - [i46]Dong Wang, Yuan Zhang, Kexin Zhang, Liwei Wang:
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection. CoRR abs/2003.09108 (2020) - [i45]Dong Wang, Kexin Zhang, Jia Ding, Liwei Wang:
Improve bone age assessment by learning from anatomical local regions. CoRR abs/2005.13452 (2020) - [i44]Aoxue Li, Weiran Huang, Xu Lan, Jiashi Feng, Zhenguo Li, Liwei Wang:
Boosting Few-Shot Learning With Adaptive Margin Loss. CoRR abs/2005.13826 (2020) - [i43]Kai Zheng, Tianle Cai, Weiran Huang, Zhenguo Li, Liwei Wang:
Locally Differentially Private (Contextual) Bandits Learning. CoRR abs/2006.00701 (2020) - [i42]Zhenhui Xu, Linyuan Gong, Guolin Ke, Di He, Shuxin Zheng, Liwei Wang, Jiang Bian, Tie-Yan Liu:
MC-BERT: Efficient Language Pre-Training via a Meta Controller. CoRR abs/2006.05744 (2020) - [i41]Yunzhen Feng, Runtian Zhai, Di He, Liwei Wang, Bin Dong:
Transferred Discrepancy: Quantifying the Difference Between Representations. CoRR abs/2007.12446 (2020) - [i40]Tiange Luo, Tianle Cai, Mengxiao Zhang, Siyu Chen, Liwei Wang:
RANDOM MASK: Towards Robust Convolutional Neural Networks. CoRR abs/2007.14249 (2020) - [i39]Tianle Cai, Shengjie Luo, Keyulu Xu, Di He, Tie-Yan Liu, Liwei Wang:
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training. CoRR abs/2009.03294 (2020) - [i38]Jingtong Su, Yihang Chen, Tianle Cai, Tianhao Wu, Ruiqi Gao, Liwei Wang, Jason D. Lee:
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot. CoRR abs/2009.11094 (2020)
2010 – 2019
- 2019
- [c41]Aoxue Li, Tiange Luo, Zhiwu Lu, Tao Xiang, Liwei Wang:
Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy. CVPR 2019: 7212-7220 - [c40]Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu:
Hint-Based Training for Non-Autoregressive Machine Translation. EMNLP/IJCNLP (1) 2019: 5707-5712 - [c39]Aoxue Li, Tiange Luo, Tao Xiang, Weiran Huang, Liwei Wang:
Few-Shot Learning With Global Class Representations. ICCV 2019: 9714-9723 - [c38]Jun Gao, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu:
Representation Degeneration Problem in Training Natural Language Generation Models. ICLR (Poster) 2019 - [c37]Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft:
Improving the Generalization of Adversarial Training with Domain Adaptation. ICLR (Poster) 2019 - [c36]Simon S. Du, Jason D. Lee, Haochuan Li, Liwei Wang, Xiyu Zhai:
Gradient Descent Finds Global Minima of Deep Neural Networks. ICML 2019: 1675-1685 - [c35]Linyuan Gong, Di He, Zhuohan Li, Tao Qin, Liwei Wang, Tie-Yan Liu:
Efficient Training of BERT by Progressively Stacking. ICML 2019: 2337-2346 - [c34]Ruiqi Gao, Tianle Cai, Haochuan Li, Cho-Jui Hsieh, Liwei Wang, Jason D. Lee:
Convergence of Adversarial Training in Overparametrized Neural Networks. NeurIPS 2019: 13009-13020 - [i37]Tianle Cai, Ruiqi Gao, Jikai Hou, Siyu Chen, Dong Wang, Di He, Zhihua Zhang, Liwei Wang:
A Gram-Gauss-Newton Method Learning Overparameterized Deep Neural Networks for Regression Problems. CoRR abs/1905.11675 (2019) - [i36]Runtian Zhai, Tianle Cai, Di He, Chen Dan, Kun He, John E. Hopcroft, Liwei Wang:
Adversarially Robust Generalization Just Requires More Unlabeled Data. CoRR abs/1906.00555 (2019) - [i35]Yiping Lu, Zhuohan Li, Di He, Zhiqing Sun, Bin Dong, Tao Qin, Liwei Wang, Tie-Yan Liu:
Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View. CoRR abs/1906.02762 (2019) - [i34]Ruiqi Gao, Tianle Cai, Haochuan Li, Liwei Wang, Cho-Jui Hsieh, Jason D. Lee:
Convergence of Adversarial Training in Overparametrized Networks. CoRR abs/1906.07916 (2019) - [i33]Jun Gao, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu:
Representation Degeneration Problem in Training Natural Language Generation Models. CoRR abs/1907.12009 (2019) - [i32]Tiange Luo, Aoxue Li, Tao Xiang, Weiran Huang, Liwei Wang:
Few-Shot Learning with Global Class Representations. CoRR abs/1908.05257 (2019) - [i31]Jiadong Lin, Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft:
Nesterov Accelerated Gradient and Scale Invariance for Improving Transferability of Adversarial Examples. CoRR abs/1908.06281 (2019) - [i30]Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu:
Hint-Based Training for Non-Autoregressive Machine Translation. CoRR abs/1909.06708 (2019) - [i29]Chuanbiao Song, Kun He, Jiadong Lin, Liwei Wang, John E. Hopcroft:
Robust Local Features for Improving the Generalization of Adversarial Training. CoRR abs/1909.10147 (2019) - [i28]Tiange Luo, Tianle Cai, Mengxiao Zhang, Siyu Chen, Di He, Liwei Wang:
Defective Convolutional Layers Learn Robust CNNs. CoRR abs/1911.08432 (2019) - 2018
- [j24]Aoxue Li, Zhiwu Lu, Liwei Wang, Peng Han, Ji-Rong Wen:
Large-Scale Sparse Learning From Noisy Tags for Semantic Segmentation. IEEE Trans. Cybern. 48(1): 253-263 (2018) - [c33]Wenlong Mou, Liwei Wang, Xiyu Zhai, Kai Zheng:
Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints. COLT 2018: 605-638 - [c32]Jiayuan Gu, Han Hu, Liwei Wang, Yichen Wei, Jifeng Dai:
Learning Region Features for Object Detection. ECCV (12) 2018: 392-406 - [c31]Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang:
Learning to Navigate for Fine-Grained Classification. ECCV (14) 2018: 438-454 - [c30]Zhuohan Li, Di He, Fei Tian, Wei Chen, Tao Qin, Liwei Wang, Tie-Yan Liu:
Towards Binary-Valued Gates for Robust LSTM Training. ICML 2018: 3001-3010 - [c29]Wenlong Mou, Yuchen Zhou, Jun Gao, Liwei Wang:
Dropout Training, Data-dependent Regularization, and Generalization Bounds. ICML 2018: 3642-3650 - [c28]Chen Dan, Kristoffer Arnsfelt Hansen, He Jiang, Liwei Wang, Yuchen Zhou:
Low Rank Approximation of Binary Matrices: Column Subset Selection and Generalizations. MFCS 2018: 41:1-41:16 - [c27]ChengYue Gong, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu:
FRAGE: Frequency-Agnostic Word Representation. NeurIPS 2018: 1341-1352 - [c26]Liwei Wang, Lunjia Hu, Jiayuan Gu, Zhiqiang Hu, Yue Wu, Kun He, John E. Hopcroft:
Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation. NeurIPS 2018: 9607-9616 - [i27]Jiayuan Gu, Han Hu, Liwei Wang, Yichen Wei, Jifeng Dai:
Learning Region Features for Object Detection. CoRR abs/1803.07066 (2018) - [i26]Zhuohan Li, Di He, Fei Tian, Wei Chen, Tao Qin, Liwei Wang, Tie-Yan Liu:
Towards Binary-Valued Gates for Robust LSTM Training. CoRR abs/1806.02988 (2018) - [i25]Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang:
Learning to Navigate for Fine-grained Classification. CoRR abs/1809.00287 (2018) - [i24]ChengYue Gong, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu:
FRAGE: Frequency-Agnostic Word Representation. CoRR abs/1809.06858 (2018) - [i23]Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft:
Improving the Generalization of Adversarial Training with Domain Adaptation. CoRR abs/1810.00740 (2018) - [i22]Aoxue Li, Zhiwu Lu, Jiechao Guan, Tao Xiang, Liwei Wang, Ji-Rong Wen:
Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning. CoRR abs/1810.08329 (2018) - [i21]Liwei Wang, Lunjia Hu, Jiayuan Gu, Yue Wu, Zhiqiang Hu, Kun He, John E. Hopcroft:
Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation. CoRR abs/1810.11750 (2018) - [i20]Simon S. Du, Jason D. Lee, Haochuan Li, Liwei Wang, Xiyu Zhai:
Gradient Descent Finds Global Minima of Deep Neural Networks. CoRR abs/1811.03804 (2018) - 2017
- [j23]Zhiwu Lu, Zhenyong Fu, Tao Xiang, Peng Han, Liwei Wang, Xin Gao:
Learning from Weak and Noisy Labels for Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 39(3): 486-500 (2017) - [j22]Aoxue Li, Zhiwu Lu, Liwei Wang, Tao Xiang, Ji-Rong Wen:
Zero-Shot Scene Classification for High Spatial Resolution Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 55(7): 4157-4167 (2017) - [c25]Wenlong Mou, Liwei Wang:
A Refined Analysis of LSH for Well-dispersed Data Points. ANALCO 2017: 174-182 - [c24]Lunjia Hu, Ruihan Wu, Tianhong Li, Liwei Wang:
Quadratic Upper Bound for Recursive Teaching Dimension of Finite VC Classes. COLT 2017: 1147-1156 - [c23]Kai Zheng, Wenlong Mou, Liwei Wang:
Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible. ICML 2017: 4130-4139 - [c22]Jiaqi Zhang, Kai Zheng, Wenlong Mou, Liwei Wang:
Efficient Private ERM for Smooth Objectives. IJCAI 2017: 3922-3928 - [c21]Jia Ding, Aoxue Li, Zhiqiang Hu, Liwei Wang:
Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks. MICCAI (3) 2017: 559-567 - [c20]Di He, Hanqing Lu, Yingce Xia, Tao Qin, Liwei Wang, Tie-Yan Liu:
Decoding with Value Networks for Neural Machine Translation. NIPS 2017: 178-187 - [c19]Zhou Lu, Hongming Pu, Feicheng Wang, Zhiqiang Hu, Liwei Wang:
The Expressive Power of Neural Networks: A View from the Width. NIPS 2017: 6231-6239 - [i19]Lunjia Hu, Ruihan Wu, Tianhong Li, Liwei Wang:
Quadratic Upper Bound for Recursive Teaching Dimension of Finite VC Classes. CoRR abs/1702.05677 (2017) - [i18]Jiaqi Zhang, Kai Zheng, Wenlong Mou, Liwei Wang:
Efficient Private ERM for Smooth Objectives. CoRR abs/1703.09947 (2017) - [i17]Kai Zheng, Wenlong Mou, Liwei Wang:
Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible. CoRR abs/1706.03316 (2017) - [i16]Jia Ding, Aoxue Li, Zhiqiang Hu, Liwei Wang:
Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks. CoRR abs/1706.04303 (2017) - [i15]Aoxue Li, Zhiwu Lu, Liwei Wang, Tao Xiang, Xinqi Li, Ji-Rong Wen:
Zero-Shot Fine-Grained Classification by Deep Feature Learning with Semantics. CoRR abs/1707.00785 (2017) - [i14]Wenlong Mou, Liwei Wang, Xiyu Zhai, Kai Zheng:
Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints. CoRR abs/1707.05947 (2017) - [i13]Zhou Lu, Hongming Pu, Feicheng Wang, Zhiqiang Hu, Liwei Wang:
The Expressive Power of Neural Networks: A View from the Width. CoRR abs/1709.02540 (2017) - 2016
- [j21]Zhiwu Lu, Liwei Wang, Ji-Rong Wen:
Image classification by visual bag-of-words refinement and reduction. Neurocomputing 173: 373-384 (2016) - [j20]Ziteng Wang, Chi Jin, Kai Fan, Jiaqi Zhang, Junliang Huang, Yiqiao Zhong, Liwei Wang:
Differentially Private Data Releasing for Smooth Queries. J. Mach. Learn. Res. 17: 51:1-51:42 (2016) - [j19]Wayne Xin Zhao, Sui Li, Yulan He, Liwei Wang, Ji-Rong Wen, Xiaoming Li:
Exploring demographic information in social media for product recommendation. Knowl. Inf. Syst. 49(1): 61-89 (2016) - [c18]Shizhao Sun, Wei Chen, Liwei Wang, Xiaoguang Liu, Tie-Yan Liu:
On the Depth of Deep Neural Networks: A Theoretical View. AAAI 2016: 2066-2072 - [c17]Di He, Yingce Xia, Tao Qin, Liwei Wang, Nenghai Yu, Tie-Yan Liu, Wei-Ying Ma:
Dual Learning for Machine Translation. NIPS 2016: 820-828 - [i12]Yingce Xia, Di He, Tao Qin, Liwei Wang, Nenghai Yu, Tie-Yan Liu, Wei-Ying Ma:
Dual Learning for Machine Translation. CoRR abs/1611.00179 (2016) - [i11]Wenlong Mou, Liwei Wang:
A Refined Analysis of LSH for Well-dispersed Data Points. CoRR abs/1612.04571 (2016) - [i10]Wenlong Mou, Zhi Wang, Liwei Wang:
Stable Memory Allocation in the Hippocampus: Fundamental Limits and Neural Realization. CoRR abs/1612.04659 (2016) - 2015
- [j18]Zhiwu Lu, Liwei Wang:
Learning descriptive visual representation for image classification and annotation. Pattern Recognit. 48(2): 498-508 (2015) - [j17]Zhiwu Lu, Liwei Wang:
Noise-robust semi-supervised learning via fast sparse coding. Pattern Recognit. 48(2): 605-612 (2015) - [j16]Zhiwu Lu, Peng Han, Liwei Wang, Ji-Rong Wen:
Semantic Sparse Recoding of Visual Content for Image Applications. IEEE Trans. Image Process. 24(1): 176-188 (2015) - [c16]Zhiwu Lu, Xin Gao, Liwei Wang, Ji-Rong Wen, Songfang Huang:
Noise-Robust Semi-Supervised Learning by Large-Scale Sparse Coding. AAAI 2015: 2828-2834 - [c15]Zhiwu Lu, Xin Gao, Songfang Huang, Liwei Wang, Ji-Rong Wen:
Social Image Parsing by Cross-Modal Data Refinement. IJCAI 2015: 2169-2175 - [i9]Zhiwu Lu, Liwei Wang:
Pairwise Constraint Propagation on Multi-View Data. CoRR abs/1501.04284 (2015) - [i8]Zhiwu Lu, Liwei Wang, Ji-Rong Wen:
Image classification by visual bag-of-words refinement and reduction. CoRR abs/1501.04292 (2015) - [i7]Shizhao Sun, Wei Chen, Liwei Wang, Tie-Yan Liu:
Large Margin Deep Neural Networks: Theory and Algorithms. CoRR abs/1506.05232 (2015) - [i6]Chen Dan, Kristoffer Arnsfelt Hansen, He Jiang, Liwei Wang, Yuchen Zhou:
On Low Rank Approximation of Binary Matrices. CoRR abs/1511.01699 (2015) - 2014
- [j15]Kai Fan, Hongyi Zhang, Songbai Yan, Liwei Wang, Wensheng Zhang, Jufu Feng:
Learning a generative classifier from label proportions. Neurocomputing 139: 47-55 (2014) - [c14]Zhiwu Lu, Liwei Wang, Ji-Rong Wen:
Direct Semantic Analysis for Social Image Classification. AAAI 2014: 1258-1264 - [c13]Wei Chen, Di He, Tie-Yan Liu, Tao Qin, Yixin Tao, Liwei Wang:
Generalized second price auction with probabilistic broad match. EC 2014: 39-56 - [i5]Chi Jin, Ziteng Wang, Junliang Huang, Yiqiao Zhong, Liwei Wang:
Differentially Private Data Releasing for Smooth Queries with Synthetic Database Output. CoRR abs/1401.0987 (2014) - [i4]Zhiwu Lu, Liwei Wang:
Can Image-Level Labels Replace Pixel-Level Labels for Image Parsing. CoRR abs/1403.1626 (2014) - [i3]Wei Chen, Di He, Tie-Yan Liu, Tao Qin, Yixin Tao, Liwei Wang:
Generalized Second Price Auction with Probabilistic Broad Match. CoRR abs/1404.3828 (2014) - [i2]Di He, Wei Chen, Liwei Wang, Tie-Yan Liu:
A Game-theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search. CoRR abs/1406.0728 (2014) - 2013
- [j14]Di He, Wei Chen, Liwei Wang, Tie-Yan Liu:
Online learning for auction mechanism in bandit setting. Decis. Support Syst. 56: 379-386 (2013) - [c12]Yining Wang, Liwei Wang, Yuanzhi Li, Di He, Tie-Yan Liu:
A Theoretical Analysis of NDCG Type Ranking Measures. COLT 2013: 25-54 - [c11]Di He, Wei Chen, Liwei Wang, Tie-Yan Liu:
A Game-Theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search. IJCAI 2013: 206-212 - [c10]Ziteng Wang, Kai Fan, Jiaqi Zhang, Liwei Wang:
Efficient Algorithm for Privately Releasing Smooth Queries. NIPS 2013: 782-790 - [i1]Yining Wang, Liwei Wang, Yuanzhi Li, Di He, Tie-Yan Liu, Wei Chen:
A Theoretical Analysis of NDCG Type Ranking Measures. CoRR abs/1304.6480 (2013) - 2012
- [j13]Liwei Wang, Xiaocheng Deng, Zhaoxiang Jing, Jufu Feng:
Further results on the margin explanation of boosting: new algorithm and experiments. Sci. China Inf. Sci. 55(7): 1551-1562 (2012) - [c9]Kai Fan, Hongyi Zhang, Yu Zang, Liwei Wang:
Estimation Based on RBM from Label Proportions in Large Group Case. IScIDE 2012: 622-629 - [c8]Chi Jin, Liwei Wang:
Dimensionality Dependent PAC-Bayes Margin Bound. NIPS 2012: 1043-1051 - 2011
- [j12]Liwei Wang, Masashi Sugiyama, Zhaoxiang Jing, Cheng Yang, Zhi-Hua Zhou, Jufu Feng:
A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin. J. Mach. Learn. Res. 12: 1835-1863 (2011) - [c7]Mingyang Jiang, Chunxiao Li, Zirui Deng, Jufu Feng, Liwei Wang:
Learning from error: A two-level combined model for image classification. ACPR 2011: 677-680 - 2010
- [c6]Mingyang Jiang, Chunxiao Li, Jufu Feng, Liwei Wang:
Segmentation via NCuts and Lossy Minimum Description Length: A Unified Approach. ACCV (3) 2010: 213-224 - [c5]Mingyang Jiang, Chunxiao Li, Jufu Feng, Liwei Wang:
Towards Hypothesis Testing and Lossy Minimum Description Length: A Unified Segmentation Framework. ACCV (3) 2010: 343-354
2000 – 2009
- 2009
- [j11]Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Shohei Hido, Jun Sese, Ichiro Takeuchi, Liwei Wang:
A Density-ratio Framework for Statistical Data Processing. IPSJ Trans. Comput. Vis. Appl. 1: 183-208 (2009) - [j10]Liwei Wang, Masashi Sugiyama, Cheng Yang, Kohei Hatano, Jufu Feng:
Theory and Algorithm for Learning with Dissimilarity Functions. Neural Comput. 21(5): 1459-1484 (2009) - [j9]Cheng Yang, Liwei Wang, Jufu Feng:
A Novel Margin Based Algorithm for Feature Extraction. New Gener. Comput. 27(4): 285-305 (2009) - [c4]Bing Sun, Jufu Feng, Liwei Wang:
Learning IMED via shift-invariant transformation. CVPR 2009: 1398-1405 - 2008
- [j8]Cheng Yang, Liwei Wang, Jufu Feng:
On Feature Extraction via Kernels. IEEE Trans. Syst. Man Cybern. Part B 38(2): 553-557 (2008) - [c3]Liwei Wang, Masashi Sugiyama, Cheng Yang, Zhi-Hua Zhou, Jufu Feng:
On the Margin Explanation of Boosting Algorithms. COLT 2008: 479-490 - 2007
- [j7]Xichen Sun, Liwei Wang, Jufu Feng:
Further results on the subspace distance. Pattern Recognit. 40(1): 328-329 (2007) - [c2]Liwei Wang, Jufu Feng:
Rademacher Margin Complexity. COLT 2007: 620-621 - [c1]Liwei Wang, Cheng Yang, Jufu Feng:
On learning with dissimilarity functions. ICML 2007: 991-998 - 2006
- [j6]Liwei Wang, Jufu Feng:
Comments on "Fundamental Limits of Reconstruction-Based Superresolution Algorithms under Local Translation'. IEEE Trans. Pattern Anal. Mach. Intell. 28(5): 846 (2006) - [j5]Liwei Wang, Xiao Wang, Jufu Feng:
Subspace distance analysis with application to adaptive Bayesian algorithm for face recognition. Pattern Recognit. 39(3): 456-464 (2006) - [j4]Liwei Wang, Xiao Wang, Jufu Feng:
On image matrix based feature extraction algorithms. IEEE Trans. Syst. Man Cybern. Part B 36(1): 194-197 (2006) - 2005
- [j3]Liwei Wang, Yan Zhang, Jufu Feng:
On the Euclidean Distance of Images. IEEE Trans. Pattern Anal. Mach. Intell. 27(8): 1334-1339 (2005) - [j2]