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ORCIDZheng Wen
Wen Zheng
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Other persons with the same name
- Zheng Wen 0001
![[0000-0002-9942-8431]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-9942-8431")
— Waseda University, Tokyo, Japan - Zheng Wen 0002 (aka: Wen Zheng 0002) — DeepMind, USA (and 1 more)
- Zheng Wen 0003 — University of Hong Kong
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2020 – today
- 2024
[j27]Jianan Zhang, Yongfei Wu, Fang Hao, Xueyu Liu, Ming Li, Daoxiang Zhou, Wen Zheng:
Double similarities weighted multi-instance learning kernel and its application. Expert Syst. Appl. 238(Part B): 121900 (2024)- 2023
- [j26]Xueyu Liu, Yongfei Wu, Yilin Chen, Dongna Hui, Jianan Zhang, Fang Hao, Yuanyue Lu, Hangbei Cheng, Yue Zeng, Weixia Han, Chen Wang, Ming Li, Xiaoshuang Zhou, Wen Zheng:
Diagnosis of diabetic kidney disease in whole slide images via AI-driven quantification of pathological indicators. Comput. Biol. Medicine 166: 107470 (2023) - [j25]Yan Zheng, Wenquan Li, Wen Zheng, Chunjiao Dong, Shengyou Wang, Qian Chen:
Lane-Level Heterogeneous Traffic Flow Prediction: A Spatiotemporal Attention-Based Encoder-Decoder Model. IEEE Intell. Transp. Syst. Mag. 15(3): 51-67 (2023) - [j24]Yating Zhong, Yuzhong Peng, Yanmei Lin, Dingjia Chen, Hao Zhang, Wen Zheng, Yuanyuan Chen, Changliang Wu:
MODILM: towards better complex diseases classification using a novel multi-omics data integration learning model. BMC Medical Informatics Decis. Mak. 23(1): 82 (2023) - [j23]Dongying Yang, Tao Lian, Wen Zheng, Cai Zhao:
Enriching Word Information Representation for Chinese Cybersecurity Named Entity Recognition. Neural Process. Lett. 55(6): 7689-7707 (2023) - [j22]Xin Wen, Peng Xiang, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu:
PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-Step Point Moving Paths. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 852-867 (2023) - [j21]Peng Xiang, Xin Wen, Yu-Shen Liu, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Zhizhong Han:
Snowflake Point Deconvolution for Point Cloud Completion and Generation With Skip-Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6320-6338 (2023) - [c76]Wen Zheng, Natasa Milic-Frayling, Ke Zhou:
Contextual Knowledge Learning for Dialogue Generation. ACL (1) 2023: 7822-7839 - [c75]Wen Zheng, Bingbing Xu, Emiao Lu, Yang Li, Qi Cao, Xuan Zong, Huawei Shen:
MIDLG: Mutual Information based Dual Level GNN for Transaction Fraud Complaint Verification. KDD 2023: 5685-5694 - [i60]Chaowei Fang, Dingwen Zhang, Wen Zheng, Xue Li, Le Yang, Lechao Cheng, Junwei Han:
Revisiting Long-tailed Image Classification: Survey and Benchmarks with New Evaluation Metrics. CoRR abs/2302.01507 (2023) - [i59]Wen Zheng, Natasa Milic-Frayling, Ke Zhou:
Contextual Knowledge Learning For Dialogue Generation. CoRR abs/2305.18200 (2023) - 2022
- [j20]Liang Zhang, Ming Li, Yongfei Wu, Fang Hao, Chen Wang, Weixia Han, Dan Niu, Wen Zheng:
Classification of renal biopsy direct immunofluorescence image using multiple attention convolutional neural network. Comput. Methods Programs Biomed. 214: 106532 (2022) - [j19]Xinyu Li, Ming Li, Yongfei Wu, Xiaoshuang Zhou, Lifeng Zhang, Xinbo Ping, Xingna Zhang, Wen Zheng:
Multi-instance inflated 3D CNN for classifying urine red blood cells from multi-focus videos. IET Image Process. 16(8): 2114-2123 (2022) - [j18]Lujin Hu, Zheng Wen, Jian Wang, Jing Hu:
Spatial Interaction Analysis of Shared Bicycles Mobility Regularity and Determinants: A Case Study of Six Main Districts, Beijing. ISPRS Int. J. Geo Inf. 11(9): 477 (2022) - [j17]Yumeng Zhang, Li Chen, Yufeng Liu, Xiaoyan Guo, Wen Zheng, Junhai Yong:
Improving robustness for pose estimation via stable heatmap regression. Neurocomputing 492: 322-342 (2022) - [j16]Zerun Fu, Tao Lian, Yuanyuan Yao, Wen Zheng:
MulSimNet: A multi-branch sub-interest matching network for personalized recommendation. Neurocomputing 495: 37-50 (2022) - [j15]Jing Bai, Zheng Wen, Zhu Xiao, Fawang Ye, Yongdong Zhu, Mamoun Alazab, Licheng Jiao:
Hyperspectral Image Classification Based on Multibranch Attention Transformer Networks. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [c74]Fan Hou, Cai Zhao, Ningling Su, Jiening Wang, Linning E, Wen Zheng:
Quantitative assessment of interstitial lung disease based on RDNet convolutional network. BIBM 2022: 1550-1553 - [c73]Zhaoqing Wang, Qiang Li, Guoxin Zhang, Pengfei Wan, Wen Zheng, Nannan Wang, Mingming Gong, Tongliang Liu:
Exploring Set Similarity for Dense Self-supervised Representation Learning. CVPR 2022: 16569-16578 - [c72]Pan Xu, Zheng Wen, Handong Zhao, Quanquan Gu:
Neural Contextual Bandits with Deep Representation and Shallow Exploration. ICLR 2022 - [i58]Peng Xiang, Xin Wen, Yu-Shen Liu, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Zhizhong Han:
Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer. CoRR abs/2202.09367 (2022) - [i57]Xin Wen, Peng Xiang, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu:
PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-step Point Moving Paths. CoRR abs/2202.09507 (2022) - [i56]Yige Yuan, Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Wen Zheng, Xueqi Cheng:
Towards Generalizable Graph Contrastive Learning: An Information Theory Perspective. CoRR abs/2211.10929 (2022) - 2021
- [j14]Wen Zheng, Xiaoming Yao:
How to Measure a Two-Sided Market. Entropy 23(8): 962 (2021) - [j13]Deng Li Ping, Guo Bing, Zheng Wen:
Web Service Clustering Approach Based on Network and Fused Document-Based and Tag-Based Topics Similarity. Int. J. Web Serv. Res. 18(3): 63-81 (2021) - [j12]Shuyao Zhou, Tianqian Zhu, Kanle Shi, Yazi Li, Wen Zheng, Jun-Hai Yong:
Review of light field technologies. Vis. Comput. Ind. Biomed. Art 4(1): 29 (2021) - [c71]Wen Zheng, Natasa Milic-Frayling, Ke Zhou:
Knowledge-Grounded Dialogue Generation with Term-level De-noising. ACL/IJCNLP (Findings) 2021: 2972-2983 - [c70]Xin Wen, Peng Xiang, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu:
PMP-Net: Point Cloud Completion by Learning Multi-Step Point Moving Paths. CVPR 2021: 7443-7452 - [c69]Xin Wen, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu:
Cycle4Completion: Unpaired Point Cloud Completion Using Cycle Transformation With Missing Region Coding. CVPR 2021: 13080-13089 - [c68]Xingyu Chen, Yufeng Liu, Chongyang Ma, Jianlong Chang, Huayan Wang, Tian Chen, Xiaoyan Guo, Pengfei Wan, Wen Zheng:
Camera-Space Hand Mesh Recovery via Semantic Aggregation and Adaptive 2D-1D Registration. CVPR 2021: 13274-13283 - [c67]Peng Xiang, Xin Wen, Yu-Shen Liu, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Zhizhong Han:
SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer. ICCV 2021: 5479-5489 - [c66]Zijian Yu, Xuhui Li, Huijuan Huang, Wen Zheng, Li Chen:
Cascade Image Matting with Deformable Graph Refinement. ICCV 2021: 7147-7156 - [c65]Alfonso Lobos, Paul Grigas, Zheng Wen:
Joint Online Learning and Decision-making via Dual Mirror Descent. ICML 2021: 7080-7089 - [c64]Mingcong Liu, Qiang Li, Zekui Qin, Guoxin Zhang, Pengfei Wan, Wen Zheng:
BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation. NeurIPS 2021: 29710-29722 - [i55]Pierre Perrault, Jennifer Healey, Zheng Wen, Michal Valko:
On the Approximation Relationship between Optimizing Ratio of Submodular (RS) and Difference of Submodular (DS) Functions. CoRR abs/2101.01631 (2021) - [i54]Xingyu Chen, Yufeng Liu, Chongyang Ma, Jianlong Chang, Huayan Wang, Tian Chen, Xiaoyan Guo, Pengfei Wan, Wen Zheng:
Camera-Space Hand Mesh Recovery via Semantic Aggregation and Adaptive 2D-1D Registration. CoRR abs/2103.02845 (2021) - [i53]Xin Wen, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu:
Cycle4Completion: Unpaired Point Cloud Completion using Cycle Transformation with Missing Region Coding. CoRR abs/2103.07838 (2021) - [i52]Alfonso Lobos, Paul Grigas, Zheng Wen:
Joint Online Learning and Decision-making via Dual Mirror Descent. CoRR abs/2104.09750 (2021) - [i51]Zijian Yu, Xuhui Li, Huijuan Huang, Wen Zheng, Li Chen:
Cascade Image Matting with Deformable Graph Refinement. CoRR abs/2105.02646 (2021) - [i50]Yumeng Zhang, Li Chen, Yufeng Liu, Xiaoyan Guo, Wen Zheng, Junhai Yong:
Improving Robustness for Pose Estimation via Stable Heatmap Regression. CoRR abs/2105.03569 (2021) - [i49]Zhaoqing Wang, Qiang Li, Guoxin Zhang, Pengfei Wan, Wen Zheng, Nannan Wang, Mingming Gong, Tongliang Liu:
Exploring Set Similarity for Dense Self-supervised Representation Learning. CoRR abs/2107.08712 (2021) - [i48]Peng Xiang, Xin Wen, Yu-Shen Liu, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Zhizhong Han:
SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer. CoRR abs/2108.04444 (2021) - [i47]Mingcong Liu, Qiang Li, Zekui Qin, Guoxin Zhang, Pengfei Wan, Wen Zheng:
BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation. CoRR abs/2110.11728 (2021) - 2020
- [j11]Chunbing Wu, Wen Zheng:
Position and Force Control of a Twisted and Coiled Polymeric Actuator. IEEE Access 8: 137226-137234 (2020) - [c63]Shuai Li, Wei Chen, Zheng Wen, Kwong-Sak Leung:
Stochastic Online Learning with Probabilistic Graph Feedback. AAAI 2020: 4675-4682 - [c62]Jing Shi, Ning Xu, Trung Bui, Franck Dernoncourt, Zheng Wen, Chenliang Xu:
A Benchmark and Baseline for Language-Driven Image Editing. ACCV (6) 2020: 636-651 - [c61]Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin:
Improving Adversarial Text Generation by Modeling the Distant Future. ACL 2020: 2516-2531 - [c60]Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin:
Nested-Wasserstein Self-Imitation Learning for Sequence Generation. AISTATS 2020: 422-433 - [c59]Yumeng Zhang, Li Chen, Yufeng Liu, Wen Zheng, Jun-Hai Yong:
Explicit Knowledge Distillation for 3D Hand Pose Estimation from Monocular RGB. BMVC 2020 - [c58]Liping Deng, Wen Zheng:
Spectral Clustering of Web Services by Fusing Document-based and Tag-based Topics Similarity. CBD 2020: 107-112 - [c57]Lele Jiao, Wen Zheng:
Multi-step traffic flow prediction method based on the Conv1D + LSTM. CBD 2020: 113-118 - [c56]Bei Su, Wen Zheng:
Traffic Flow Prediction via Spatial Temporal Neural Network "ResLS-C". CBD 2020: 119-124 - [c55]Cai Zhao, Wen Zheng:
Fast Traffic Sign Recognition Algorithm Based on Multi-scale Convolutional Neural Network. CBD 2020: 125-130 - [c54]Liangquan Jia, Caifeng Zhang, Lu Gao, Zengwu Sun, Wen Zheng, Hengnian Qi:
Kinematic Analysis of Drawing Movements in Chinese Primary Schoolchildren. CNIOT 2020: 60-64 - [c53]Tian Chen, Shijie An, Yuan Zhang, Chongyang Ma, Huayan Wang, Xiaoyan Guo, Wen Zheng:
Improving Monocular Depth Estimation by Leveraging Structural Awareness and Complementary Datasets. ECCV (14) 2020: 90-108 - [c52]Wen Zheng, Natasa Milic-Frayling, Ke Zhou:
Approximation of Response Knowledge Retrieval in Knowledge-grounded Dialogue Generation. EMNLP (Findings) 2020: 3581-3591 - [c51]Youngsuk Park, Ryan A. Rossi, Zheng Wen, Gang Wu, Handong Zhao:
Structured Policy Iteration for Linear Quadratic Regulator. ICML 2020: 7521-7531 - [c50]Pierre Perrault, Jennifer Healey, Zheng Wen, Michal Valko:
Budgeted Online Influence Maximization. ICML 2020: 7620-7631 - [c49]Tong Yu, Branislav Kveton, Zheng Wen, Ruiyi Zhang, Ole J. Mengshoel:
Graphical Models Meet Bandits: A Variational Thompson Sampling Approach. ICML 2020: 10902-10912 - [c48]Yumeng Zhang, Li Chen, Yufeng Liu, Wen Zheng, Junhai Yong:
Adaptive Wasserstein Hourglass for Weakly Supervised RGB 3D Hand Pose Estimation. ACM Multimedia 2020: 2076-2084 - [i46]Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin:
Nested-Wasserstein Self-Imitation Learning for Sequence Generation. CoRR abs/2001.06944 (2020) - [i45]Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin:
Improving Adversarial Text Generation by Modeling the Distant Future. CoRR abs/2005.01279 (2020) - [i44]Qiang Li, Zekui Qin, Wenbo Zhang, Wen Zheng:
Siamese Keypoint Prediction Network for Visual Object Tracking. CoRR abs/2006.04078 (2020) - [i43]Tong Yu, Branislav Kveton, Zheng Wen, Ruiyi Zhang, Ole J. Mengshoel:
Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems. CoRR abs/2007.04915 (2020) - [i42]Youngsuk Park, Ryan A. Rossi, Zheng Wen, Gang Wu, Handong Zhao:
Structured Policy Iteration for Linear Quadratic Regulator. CoRR abs/2007.06202 (2020) - [i41]Tian Chen, Shijie An, Yuan Zhang, Chongyang Ma, Huayan Wang, Xiaoyan Guo, Wen Zheng:
Improving Monocular Depth Estimation by Leveraging Structural Awareness and Complementary Datasets. CoRR abs/2007.11256 (2020) - [i40]Wenlong Mou, Zheng Wen, Xi Chen:
On the Sample Complexity of Reinforcement Learning with Policy Space Generalization. CoRR abs/2008.07353 (2020) - [i39]Jing Shi, Ning Xu, Trung Bui, Franck Dernoncourt, Zheng Wen, Chenliang Xu:
A Benchmark and Baseline for Language-Driven Image Editing. CoRR abs/2010.02330 (2020) - [i38]Pan Xu, Zheng Wen, Handong Zhao, Quanquan Gu:
Neural Contextual Bandits with Deep Representation and Shallow Exploration. CoRR abs/2012.01780 (2020) - [i37]Xin Wen, Peng Xiang, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu:
PMP-Net: Point Cloud Completion by Learning Multi-step Point Moving Paths. CoRR abs/2012.03408 (2020)
2010 – 2019
- 2019
- [c47]Ruiyi Zhang, Zheng Wen, Changyou Chen, Chen Fang, Tong Yu, Lawrence Carin:
Scalable Thompson Sampling via Optimal Transport. AISTATS 2019: 87-96 - [c46]Yang Cao, Zheng Wen, Branislav Kveton, Yao Xie:
Nearly Optimal Adaptive Procedure with Change Detection for Piecewise-Stationary Bandit. AISTATS 2019: 418-427 - [c45]Sumeet Katariya, Branislav Kveton, Zheng Wen, Vamsi K. Potluru:
Conservative Exploration using Interleaving. AISTATS 2019: 954-963 - [c44]Wen Zheng, Ke Zhou:
Enhancing Conversational Dialogue Models with Grounded Knowledge. CIKM 2019: 709-718 - [c43]Xiong Zhang, Qiang Li, Hong Mo, Wenbo Zhang, Wen Zheng:
End-to-End Hand Mesh Recovery From a Monocular RGB Image. ICCV 2019: 2354-2364 - [c42]Branislav Kveton, Csaba Szepesvári, Sharan Vaswani, Zheng Wen, Tor Lattimore, Mohammad Ghavamzadeh:
Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits. ICML 2019: 3601-3610 - [c41]Gaurush Hiranandani, Harvineet Singh, Prakhar Gupta, Iftikhar Ahamath Burhanuddin, Zheng Wen, Branislav Kveton:
Cascading Linear Submodular Bandits: Accounting for Position Bias and Diversity in Online Learning to Rank. UAI 2019: 722-732 - [i36]Ruiyi Zhang, Zheng Wen, Changyou Chen, Lawrence Carin:
Scalable Thompson Sampling via Optimal Transport. CoRR abs/1902.07239 (2019) - [i35]Xiong Zhang, Qiang Li, Wenbo Zhang, Wen Zheng:
End-to-end Hand Mesh Recovery from a Monocular RGB Image. CoRR abs/1902.09305 (2019) - [i34]Hongmin Xu, Qiang Li, Wenbo Zhang, Wen Zheng:
StyleRemix: An Interpretable Representation for Neural Image Style Transfer. CoRR abs/1902.10425 (2019) - [i33]Shuai Li, Wei Chen, Zheng Wen, Kwong-Sak Leung:
Stochastic Online Learning with Probabilistic Graph Feedback. CoRR abs/1903.01083 (2019) - [i32]Branislav Kveton, Saied Mahdian, S. Muthukrishnan, Zheng Wen, Yikun Xian:
Waterfall Bandits: Learning to Sell Ads Online. CoRR abs/1904.09404 (2019) - [i31]Yumeng Zhang, Li Chen, Yufeng Liu, Jun-Hai Yong, Wen Zheng:
Adaptive Wasserstein Hourglass for Weakly Supervised Hand Pose Estimation from Monocular RGB. CoRR abs/1909.05666 (2019) - 2018
- [j10]Shisheng Wang, Wen Zheng, Liqiang Hu, Meng Gong, Hao Yang:
MixProTool: A Powerful and Comprehensive Web Tool for Analyzing and Visualizing Multigroup Proteomics Data. J. Comput. Biol. 25(10): 1123-1127 (2018) - [c40]Shuai Li, Yasin Abbasi-Yadkori, Branislav Kveton, S. Muthukrishnan, Vishwa Vinay, Zheng Wen:
Offline Evaluation of Ranking Policies with Click Models. KDD 2018: 1685-1694 - [c39]Georgios Theocharous, Zheng Wen, Yasin Abbasi, Nikos Vlassis:
Scalar Posterior Sampling with Applications. NeurIPS 2018: 7696-7704 - [c38]Tong Yu, Branislav Kveton, Zheng Wen, Hung Bui, Ole J. Mengshoel:
SpectralLeader: Online Spectral Learning for Single Topic Models. ECML/PKDD (2) 2018: 379-395 - [c37]Xiuyuan Lu, Zheng Wen, Branislav Kveton:
Efficient online recommendation via low-rank ensemble sampling. RecSys 2018: 460-464 - [i30]Yang Cao, Zheng Wen, Branislav Kveton, Yao Xie:
Nearly Optimal Adaptive Procedure for Piecewise-Stationary Bandit: a Change-Point Detection Approach. CoRR abs/1802.03692 (2018) - [i29]Shuai Li, Yasin Abbasi-Yadkori, Branislav Kveton, S. Muthukrishnan, Vishwa Vinay, Zheng Wen:
Offline Evaluation of Ranking Policies with Click Models. CoRR abs/1804.10488 (2018) - [i28]Sharan Vaswani, Branislav Kveton, Zheng Wen, Anup Rao, Mark Schmidt, Yasin Abbasi-Yadkori:
New Insights into Bootstrapping for Bandits. CoRR abs/1805.09793 (2018) - [i27]Sumeet Katariya, Branislav Kveton, Zheng Wen, Vamsi K. Potluru:
Conservative Exploration using Interleaving. CoRR abs/1806.00892 (2018) - [i26]Prakhar Gupta, Gaurush Hiranandani, Harvineet Singh, Branislav Kveton, Zheng Wen, Iftikhar Ahamath Burhanuddin:
Online Diverse Learning to Rank from Partial-Click Feedback. CoRR abs/1811.00911 (2018) - [i25]Branislav Kveton, Csaba Szepesvári, Zheng Wen, Mohammad Ghavamzadeh, Tor Lattimore:
Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits. CoRR abs/1811.05154 (2018) - 2017
- [j9]Weilun Xie, Chaoqin Gan, Weidong Xia, Wen Zheng, Haoyi Yu:
Mode transformation and united control mechanism supporting wavelength division multiplexing Ethernet passive optical network and orthogonal frequency division multiplexing passive optical network in multi-subsystem-based virtual passive optical network. IET Commun. 11(5): 696-703 (2017) - [j8]Shahrouz Khalili, Jianghua Feng, Osvaldo Simeone, Jun Tang, Zheng Wen, Alexander M. Haimovich, MengChu Zhou:
Code-Aided Channel Tracking and Decoding Over Sparse Fast-Fading Multipath Channels With an Application to Train Backbone Networks. IEEE Trans. Intell. Transp. Syst. 18(3): 481-492 (2017) - [c36]Sumeet Katariya, Branislav Kveton, Csaba Szepesvári, Claire Vernade, Zheng Wen:
Stochastic Rank-1 Bandits. AISTATS 2017: 392-401 - [c35]Sharan Vaswani, Branislav Kveton, Zheng Wen, Mohammad Ghavamzadeh, Laks V. S. Lakshmanan, Mark Schmidt:
Model-Independent Online Learning for Influence Maximization. ICML 2017: 3530-3539 - [c34]Masrour Zoghi, Tomás Tunys, Mohammad Ghavamzadeh, Branislav Kveton, Csaba Szepesvári, Zheng Wen:
Online Learning to Rank in Stochastic Click Models. ICML 2017: 4199-4208 - [c33]Sumeet Katariya, Branislav Kveton, Csaba Szepesvári, Claire Vernade, Zheng Wen:
Bernoulli Rank-1 Bandits for Click Feedback. IJCAI 2017: 2001-2007 - [c32]Georgios Theocharous, Nikos Vlassis, Zheng Wen:
An Interactive Points of Interest Guidance System. IUI Companion 2017: 49-52 - [c31]Paul Grigas, Alfonso Lobos, Zheng Wen, Kuang-chih Lee:
Profit Maximization for Online Advertising Demand-Side Platforms. ADKDD@KDD 2017: 11:1-11:7 - [c30]Zheng Wen, Branislav Kveton, Michal Valko, Sharan Vaswani:
Online Influence Maximization under Independent Cascade Model with Semi-Bandit Feedback. NIPS 2017: 3022-3032 - [c29]Shi Zong, Branislav Kveton, Shlomo Berkovsky, Azin Ashkan, Zheng Wen:
Get to the Bottom: Causal Analysis for User Modeling. UMAP 2017: 256-264 - [c28]Shi Zong, Branislav Kveton, Shlomo Berkovsky, Azin Ashkan, Nikos Vlassis, Zheng Wen:
Does Weather Matter?: Causal Analysis of TV Logs. WWW (Companion Volume) 2017: 883-884 - [i24]Shi Zong, Branislav Kveton, Shlomo Berkovsky, Azin Ashkan, Nikos Vlassis, Zheng Wen:
Does Weather Matter? Causal Analysis of TV Logs. CoRR abs/1701.08716 (2017) - [i23]Sharan Vaswani, Branislav Kveton, Zheng Wen, Mohammad Ghavamzadeh, Laks V. S. Lakshmanan, Mark Schmidt:
Diffusion Independent Semi-Bandit Influence Maximization. CoRR abs/1703.00557 (2017) - [i22]Mohammad Ghavamzadeh, Branislav Kveton, Csaba Szepesvári, Tomás Tunys, Zheng Wen, Masrour Zoghi:
Online Learning to Rank in Stochastic Click Models. CoRR abs/1703.02527 (2017) - [i21]Sumeet Katariya, Branislav Kveton, Csaba Szepesvári, Claire Vernade, Zheng Wen:
Bernoulli Rank-1 Bandits for Click Feedback. CoRR abs/1703.06513 (2017) - [i20]Paul Grigas, Alfonso Lobos, Zheng Wen, Kuang-chih Lee:
Profit Maximization for Online Advertising Demand-Side Platforms. CoRR abs/1706.01614 (2017) - [i19]Tong Yu, Branislav Kveton, Zheng Wen, Hung Bui, Ole J. Mengshoel:
SpectralFPL: Online Spectral Learning for Single Topic Models. CoRR abs/1709.07172 (2017) - [i18]Georgios Theocharous, Zheng Wen, Yasin Abbasi-Yadkori, Nikos Vlassis:
Posterior Sampling for Large Scale Reinforcement Learning. CoRR abs/1711.07979 (2017) - [i17]Branislav Kveton, Csaba Szepesvári, Anup Rao, Zheng Wen, Yasin Abbasi-Yadkori, S. Muthukrishnan:
Stochastic Low-Rank Bandits. CoRR abs/1712.04644 (2017) - 2016
- [j7]Zhaoxi Fang, Pengfei Shao, Wen Zheng, Zeping Pang:
Differential Network Coded Transmission for Two-Way Relay Networks with Large Antenna Array. J. Commun. 11(10): 944-949 (2016) - [j6]Yu Liu, Jianghua Feng, Osvaldo Simeone, Jun Tang, Zheng Wen, Alexander M. Haimovich, MengChu Zhou:
Topology Discovery for Linear Wireless Networks With Application to Train Backbone Inauguration. IEEE Trans. Intell. Transp. Syst. 17(8): 2159-2170 (2016) - [c27]Qiaosong Wang, Wen Zheng, Robinson Piramuthu:
GraB: Visual Saliency via Novel Graph Model and Background Priors. CVPR 2016: 535-543 - [c26]Sumeet Katariya, Branislav Kveton, Csaba Szepesvári, Zheng Wen:
DCM Bandits: Learning to Rank with Multiple Clicks. ICML 2016: 1215-1224 - [c25]Shi Zong, Hao Ni, Kenny Sung, Nan Rosemary Ke, Zheng Wen, Branislav Kveton:
Cascading Bandits for Large-Scale Recommendation Problems. UAI 2016 - [i16]