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2020 – today
- 2024
[j25]Tibor Jordán, Robin Huang, Henry Simmons
, Kaylee Weatherspoon, Zeyu Zheng:
Four-regular graphs with extremal rigidity properties. Discret. Math. 347(4): 113833 (2024)- [j24]Zhi Liu, Jiaxi Yang, Kui Chen, Tao Yang, Xiaochen Li, Bingjie Lu, Dianzheng Fu, Zeyu Zheng, Changyong Luo:
TCM-KDIF: An Information Interaction Framework Driven by Knowledge-Data and Its Clinical Application in Traditional Chinese Medicine. IEEE Internet Things J. 11(11): 20002-20014 (2024) - [c60]Yifu Tang, Yingfei Wang, Zeyu Zheng:
Stochastic Multi-Armed Bandits with Strongly Reward-Dependent Delays. AISTATS 2024: 3043-3051 - [c59]Daniele Calandriello, Zhaohan Daniel Guo, Rémi Munos, Mark Rowland, Yunhao Tang, Bernardo Ávila Pires, Pierre Harvey Richemond, Charline Le Lan, Michal Valko, Tianqi Liu, Rishabh Joshi, Zeyu Zheng, Bilal Piot:
Human Alignment of Large Language Models through Online Preference Optimisation. ICML 2024 - [c58]Yunhao Tang, Zhaohan Daniel Guo, Zeyu Zheng, Daniele Calandriello, Rémi Munos, Mark Rowland, Pierre Harvey Richemond, Michal Valko, Bernardo Ávila Pires, Bilal Piot:
Generalized Preference Optimization: A Unified Approach to Offline Alignment. ICML 2024 - [c57]Jeong-Yoon Lee, Yifeng Wu, Totte Harinen, Jing Pan, Paul Lo, Zhenyu Zhao, Huigang Chen, Zeyu Zheng, Hasta Vanchinathan, Yingfei Wang, Roland Stevenson:
2nd Workshop on Causal Inference and Machine Learning in Practice. KDD 2024: 6726 - [i29]Yunhao Tang, Zhaohan Daniel Guo, Zeyu Zheng, Daniele Calandriello, Rémi Munos, Mark Rowland, Pierre Harvey Richemond, Michal Valko, Bernardo Ávila Pires, Bilal Piot:
Generalized Preference Optimization: A Unified Approach to Offline Alignment. CoRR abs/2402.05749 (2024) - [i28]Clare Lyle, Zeyu Zheng, Khimya Khetarpal, Hado van Hasselt, Razvan Pascanu, James Martens, Will Dabney:
Disentangling the Causes of Plasticity Loss in Neural Networks. CoRR abs/2402.18762 (2024) - [i27]Daniele Calandriello, Daniel Guo, Rémi Munos, Mark Rowland, Yunhao Tang, Bernardo Ávila Pires, Pierre Harvey Richemond, Charline Le Lan, Michal Valko, Tianqi Liu, Rishabh Joshi, Zeyu Zheng, Bilal Piot:
Human Alignment of Large Language Models through Online Preference Optimisation. CoRR abs/2403.08635 (2024) - [i26]Haoting Zhang, Jinghai He, Rhonda Righter, Zeyu Zheng:
Language Model Prompt Selection via Simulation Optimization. CoRR abs/2404.08164 (2024) - [i25]Jinghai He, Haoyu Liu, Yuhang Wu, Zeyu Zheng, Tingyu Zhu:
A Preliminary Study on Accelerating Simulation Optimization with GPU Implementation. CoRR abs/2404.11631 (2024) - [i24]Jinghai He, Cheng Hua, Yingfei Wang, Zeyu Zheng:
Collaborative Intelligence in Sequential Experiments: A Human-in-the-Loop Framework for Drug Discovery. CoRR abs/2405.03942 (2024) - [i23]Yuhang Wu, Yingfei Wang, Chu Wang, Zeyu Zheng:
Large Language Model Enhanced Machine Learning Estimators for Classification. CoRR abs/2405.05445 (2024) - [i22]Yunhao Tang, Zhaohan Daniel Guo, Zeyu Zheng, Daniele Calandriello, Yuan Cao, Eugene Tarassov, Rémi Munos, Bernardo Ávila Pires, Michal Valko, Yong Cheng, Will Dabney:
Understanding the performance gap between online and offline alignment algorithms. CoRR abs/2405.08448 (2024) - [i21]Haoting Zhang, Donglin Zhan, Yunduan Lin, Jinghai He, Qing Zhu, Zuo-Jun Max Shen, Zeyu Zheng:
Daily Physical Activity Monitoring - Adaptive Learning from Multi-source Motion Sensor Data. CoRR abs/2405.16395 (2024) - [i20]Clare Lyle, Zeyu Zheng, Khimya Khetarpal, James Martens, Hado van Hasselt, Razvan Pascanu, Will Dabney:
Normalization and effective learning rates in reinforcement learning. CoRR abs/2407.01800 (2024) - 2023
- [j23]Logan Post, Zeyu Zheng:
Common Kings of a Chain of Cycles in a Strong Tournament. Graphs Comb. 39(4): 71 (2023) - [j22]Jingxu Xu, Zeyu Zheng:
Gradient-Based Simulation Optimization Algorithms via Multi-Resolution System Approximations. INFORMS J. Comput. 35(3): 633-651 (2023) - [j21]Haixiang Zhang, Zeyu Zheng, Javad Lavaei:
Gradient-Based Algorithms for Convex Discrete Optimization via Simulation. Oper. Res. 71(5): 1815-1834 (2023) - [j20]Yu An, Zeyu Zheng:
Immediacy Provision and Matchmaking. Manag. Sci. 69(2): 1245-1263 (2023) - [j19]Tingyu Zhu, Haoyu Liu, Zeyu Zheng:
Learning to Simulate Sequentially Generated Data via Neural Networks and Wasserstein Training. ACM Trans. Model. Comput. Simul. 33(3): 9:1-9:34 (2023) - [c56]Zhihao Wang, Zhao Qing, Zeyu Zheng, Zhiheng Xiong, Luyun Lai, Yu Sun:
Prediction of Empathy Induced by Synthesized Speech using Hilbert Marginal Spectrum Analysis. ICBEA 2023: 29-35 - [c55]Clare Lyle, Zeyu Zheng, Evgenii Nikishin, Bernardo Ávila Pires, Razvan Pascanu, Will Dabney:
Understanding Plasticity in Neural Networks. ICML 2023: 23190-23211 - [c54]Jeong-Yoon Lee, Yifeng Wu, Keith Battocchi, Fabio Vera, Zhenyu Zhao, Totte Harinen, Jing Pan, Huigang Chen, Zeyu Zheng, Chu Wang, Yingfei Wang, Xinwei Ma:
Causal Inference and Machine Learning in Practice: Use Cases for Product, Brand, Policy and Beyond. KDD 2023: 5867 - [c53]Chu Wang, Yingfei Wang, Haipeng Luo, Daniel R. Jiang, Jinghai He, Zeyu Zheng:
2nd Workshop on Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond. KDD 2023: 5890 - [c52]David Simchi-Levi, Chonghuan Wang, Zeyu Zheng:
Non-stationary Experimental Design under Linear Trends. NeurIPS 2023 - [c51]David Simchi-Levi, Zeyu Zheng, Feng Zhu:
Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail Risk. NeurIPS 2023 - [c50]Haoting Zhang, Jinghai He, Rhonda Righter, Zuo-Jun Max Shen, Zeyu Zheng:
Contextual Gaussian Process Bandits with Neural Networks. NeurIPS 2023 - [c49]Peter W. Glynn, Zeyu Zheng:
Cosimla with General Regeneration Set to Compute Markov Chain Stationary Expectations. WSC 2023: 469-479 - [c48]Yuhang Wu, Zeyu Zheng, Tingyu Zhu:
Best Arm Identification with Fairness Constraints on Subpopulations. WSC 2023: 540-551 - [c47]Dilara Aykanat, Zeyu Zheng, Nian Si:
A Preliminary Study of Regularization Framework for Constructing Task-Specific Simulators. WSC 2023: 805-816 - [i19]Clare Lyle, Zeyu Zheng, Evgenii Nikishin, Bernardo Ávila Pires, Razvan Pascanu, Will Dabney:
Understanding plasticity in neural networks. CoRR abs/2303.01486 (2023) - [i18]Yuhang Wu, Zeyu Zheng, Tingyu Zhu:
Best Arm Identification with Fairness Constraints on Subpopulations. CoRR abs/2304.04091 (2023) - [i17]David Simchi-Levi, Zeyu Zheng, Feng Zhu:
Regret Distribution in Stochastic Bandits: Optimal Trade-off between Expectation and Tail Risk. CoRR abs/2304.04341 (2023) - 2022
- [j18]Zhi Liu, Changyong Luo, Dianzheng Fu, Jun Gui, Zeyu Zheng, Liang Qi, Haojian Guo:
A novel transfer learning model for traditional herbal medicine prescription generation from unstructured resources and knowledge. Artif. Intell. Medicine 124: 102232 (2022) - [j17]Chaoliang Tang, Hehui Wu, Shengtong Zhang, Zeyu Zheng:
On the Turán Number of the Linear $3$-Graph $C_{13}$. Electron. J. Comb. 29(3) (2022) - [c46]Zeyu Zheng, Risto Vuorio, Richard L. Lewis, Satinder Singh:
Adaptive Pairwise Weights for Temporal Credit Assignment. AAAI 2022: 9225-9232 - [c45]Gang Cen, Zeping Yang, Yuefeng Cen, Zeyu Zheng:
Research on the Form of "Four-Steps" Open Project Practical Teaching Activities. ICCSE (3) 2022: 11-21 - [c44]Yuhang Wu, Zeyu Zheng, Guangyu Zhang, Zuohua Zhang, Chu Wang:
Non-stationary A/B Tests. KDD 2022: 2079-2089 - [c43]Tianyi Lin, Zeyu Zheng, Michael I. Jordan:
Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization. NeurIPS 2022 - [c42]David Simchi-Levi, Zeyu Zheng, Feng Zhu:
A Simple and Optimal Policy Design for Online Learning with Safety against Heavy-tailed Risk. NeurIPS 2022 - [c41]Zeyu Zheng, Alex Infanger, Peter W. Glynn:
Combining Numerical Linear Algebra with Simulation to Compute Stationary Distributions. WSC 2022: 2342-2353 - [i16]Vivek Veeriah, Zeyu Zheng, Richard L. Lewis, Satinder Singh:
GrASP: Gradient-Based Affordance Selection for Planning. CoRR abs/2202.04772 (2022) - [i15]David Simchi-Levi, Zeyu Zheng, Feng Zhu:
A Simple and Optimal Policy Design for Online Learning with Safety against Heavy-tailed Risk. CoRR abs/2206.02969 (2022) - [i14]Tianyi Lin, Zeyu Zheng, Michael I. Jordan:
Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization. CoRR abs/2209.05045 (2022) - [i13]Nelson Vadori, Leo Ardon, Sumitra Ganesh, Thomas Spooner, Selim Amrouni, Jared Vann, Mengda Xu, Zeyu Zheng, Tucker Balch, Manuela Veloso:
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations. CoRR abs/2210.07184 (2022) - 2021
- [j16]Zeyu Zheng, Harsha Honnappa, Peter W. Glynn:
Technical Note - Approximating Systems Fed by Poisson Processes with Rapidly Changing Arrival Rates. Oper. Res. 69(5): 1566-1574 (2021) - [j15]Haozhu Wang, Zeyu Zheng, Chengang Ji, L. Jay Guo:
Automated multi-layer optical design via deep reinforcement learning. Mach. Learn. Sci. Technol. 2(2): 25013 (2021) - [j14]Ying Zang, Chunpeng Fan, Zeyu Zheng, Dongsheng Yang:
Pose estimation at night in infrared images using a lightweight multi-stage attention network. Signal Image Video Process. 15(8): 1757-1765 (2021) - [j13]Nan Yang, Zeyu Zheng, MengChu Zhou, Xiwang Guo, Liang Qi, Tianran Wang:
A Domain-Guided Noise-Optimization-Based Inversion Method for Facial Image Manipulation. IEEE Trans. Image Process. 30: 6198-6211 (2021) - [c40]Tianyi Lin, Zeyu Zheng, Elynn Y. Chen, Marco Cuturi, Michael I. Jordan:
On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification. AISTATS 2021: 262-270 - [c39]David Simchi-Levi, Zeyu Zheng, Feng Zhu:
Dynamic Planning and Learning under Recovering Rewards. ICML 2021: 9702-9711 - [c38]Haixiang Zhang, Zeyu Zheng, Javad Lavaei:
Stochastic $L^\natural$-convex Function Minimization. NeurIPS 2021: 13004-13018 - [c37]Zeyu Zheng, Vivek Veeriah, Risto Vuorio, Richard L. Lewis, Satinder Singh:
Learning State Representations from Random Deep Action-conditional Predictions. NeurIPS 2021: 23679-23691 - [c36]Peter W. Glynn, Zeyu Zheng:
Efficient Computation for Stratified Splitting. WSC 2021: 1-8 - [c35]Sojung Kim, Ben Feng, Katy Smith, Sara Masoud, Zeyu Zheng:
Instructions for Authors of Papers Using Latex. WSC 2021: 1-21 - [c34]Lu Wang, Tianhu Deng, Zeyu Zheng, Zuo-Jun Max Shen:
Explainable Modeling in Digital Twin. WSC 2021: 1-12 - [c33]Haoting Zhang, Jinghai He, Donglin Zhan, Zeyu Zheng:
Neural Network-Assisted Simulation Optimization with Covariates. WSC 2021: 1-12 - [c32]Tingyu Zhu, Zeyu Zheng:
Learning to Simulate Sequentially Generated Data via Neural Networks and Wasserstein Training. WSC 2021: 1-12 - [i12]Zeyu Zheng, Vivek Veeriah, Risto Vuorio, Richard L. Lewis, Satinder Singh:
Learning State Representations from Random Deep Action-conditional Predictions. CoRR abs/2102.04897 (2021) - [i11]Zeyu Zheng, Risto Vuorio, Richard L. Lewis, Satinder Singh:
Pairwise Weights for Temporal Credit Assignment. CoRR abs/2102.04999 (2021) - [i10]Yufeng Zheng, Yunkai Zhang, Zeyu Zheng:
Continuous Conditional Generative Adversarial Networks (cGAN) with Generator Regularization. CoRR abs/2103.14884 (2021) - [i9]David Simchi-Levi, Zeyu Zheng, Feng Zhu:
Dynamic Planning and Learning under Recovering Rewards. CoRR abs/2106.14813 (2021) - 2020
- [j12]Yang Fu, Zeyu Zheng, Mengchu Zhou, Haitao Yuan, Xiwang Guo:
New Results on Joint Classification of Vertical Structure of Ocean Properties at a Global Scale. IEEE Access 8: 66448-66455 (2020) - [j11]Nan Yang, Yuanye Xu, Zeyu Zheng, Liang Qi, Xiwang Guo, Tianran Wang:
Generating and Editing Arbitrary Facial Images by Learning Feature Axis. IEEE Access 8: 135468-135478 (2020) - [j10]Qingfeng Yao, Zeyu Zheng, Liang Qi, Haitao Yuan, Xiwang Guo, Ming Zhao, Zhi Liu, Tianji Yang:
Path Planning Method With Improved Artificial Potential Field - A Reinforcement Learning Perspective. IEEE Access 8: 135513-135523 (2020) - [j9]Tianji Yang, Zeyu Zheng, Liang Qi:
A method for degradation prediction based on Hidden semi-Markov models with mixture of Kernels. Comput. Ind. 122: 103295 (2020) - [c31]Zeyu Zheng, Junhyuk Oh, Matteo Hessel, Zhongwen Xu, Manuel Kroiss, Hado van Hasselt, David Silver, Satinder Singh:
What Can Learned Intrinsic Rewards Capture? ICML 2020: 11436-11446 - [c30]Feng Zhu, Zeyu Zheng:
When Demands Evolve Larger and Noisier: Learning and Earning in a Growing Environment. ICML 2020: 11629-11638 - [c29]Haoting Zhang, Zeyu Zheng:
Simulating Nonstationary Spatio-Temporal Poisson Processes using the Inversion Method. WSC 2020: 492-503 - [c28]Jingxu Xu, Zeyu Zheng, Peter W. Glynn:
Joint Resource Allocation for Input Data Collection and Simulation. WSC 2020: 2126-2137 - [i8]Haozhu Wang, Zeyu Zheng, Chengang Ji, L. Jay Guo:
Automated Optical Multi-layer Design via Deep Reinforcement Learning. CoRR abs/2006.11940 (2020) - [i7]Tianyi Lin, Zeyu Zheng, Elynn Y. Chen, Marco Cuturi, Michael I. Jordan:
On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification. CoRR abs/2006.12301 (2020) - [i6]Yufeng Zheng, Zeyu Zheng:
Doubly Stochastic Generative Arrivals Modeling. CoRR abs/2012.13940 (2020)
2010 – 2019
- 2019
- [j8]Zhi Liu, Zeyu Zheng, Xiwang Guo, Liang Qi, Jun Gui, Dianzheng Fu, Qingfeng Yao, Luyao Jin:
AttentiveHerb: A Novel Method for Traditional Medicine Prescription Generation. IEEE Access 7: 139069-139085 (2019) - [c27]Nan Yang, Zeyu Zheng, Tianran Wang:
Model Loss and Distribution Analysis of Regression Problems in Machine Learning. ICMLC 2019: 1-5 - [c26]Qingfeng Yao, Tianji Yang, Zhi Liu, Zeyu Zheng:
Remaining Useful Life Estimation by Empirical Mode Decomposition and Ensemble Deep Convolution Neural Networks. ICPHM 2019: 1-6 - [c25]Yu An, Zeyu Zheng:
Heterogeneous Assets Market Design. WSC 2019: 974-983 - [c24]Peter W. Glynn, Zeyu Zheng:
Estimation and Inference for Non-Stationary Arrival Models with a Linear Trend. WSC 2019: 3764-3773 - [i5]Qixuan Zhang, Bowen Xu, Haotian Jing, Zeyu Zheng:
Ques-Chain: an Ethereum Based E-Voting System. CoRR abs/1905.05041 (2019) - [i4]Zeyu Zheng, Junhyuk Oh, Matteo Hessel, Zhongwen Xu, Manuel Kroiss, Hado van Hasselt, David Silver, Satinder Singh:
What Can Learned Intrinsic Rewards Capture? CoRR abs/1912.05500 (2019) - 2018
- [c23]Hui Chen, Zeyu Zheng, Qiurui Chen, Lanjiang Yang, Xingnan Chen, Shijue Zheng:
The Application Research of AlphaGo Double Decision System in Network Bad Information Recognition. ICIC (3) 2018: 284-295 - [c22]Zeyu Zheng, Junhyuk Oh, Satinder Singh:
On Learning Intrinsic Rewards for Policy Gradient Methods. NeurIPS 2018: 4649-4659 - [c21]Xiaocheng Li, Xiaowei Zhang, Zeyu Zheng:
Data-Driven Ranking and Selection: High-dimensional covariates and General Dependence. WSC 2018: 1933-1944 - [c20]Haojun Huo, Xiaowei Zhang, Zeyu Zheng:
A Scalable Approach to Enhancing stochastic Kriging with Gradients. WSC 2018: 2213-2224 - [i3]Zeyu Zheng, Junhyuk Oh, Satinder Singh:
On Learning Intrinsic Rewards for Policy Gradient Methods. CoRR abs/1804.06459 (2018) - 2017
- [c19]Zeyu Zheng, Karen Ruggiero:
Using machine learning to predict obesity in high school students. BIBM 2017: 2132-2138 - [c18]Wenfei Fan, Jingbo Xu, Yinghui Wu, Wenyuan Yu, Jiaxin Jiang, Zeyu Zheng, Bohan Zhang, Yang Cao, Chao Tian:
Parallelizing Sequential Graph Computations. SIGMOD Conference 2017: 495-510 - [c17]Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing:
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. USENIX ATC 2017: 181-193 - [c16]Zeyu Zheng, Peter W. Glynn:
Fitting continuous piecewise linear poisson intensities via maximum likelihood and least squares. WSC 2017: 1740-1749 - [i2]Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing:
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. CoRR abs/1706.03292 (2017) - 2016
- [c15]Xi Chen, Jianwei Li, Zeyu Zheng, Tianran Wang:
Degree of Integration into Social Networks (DISN) Evaluation Model Based on Micro-Blogging Platforms and Information Dissemination Prediction. CIT 2016: 172-176 - [c14]Yiming Tong, Zeyu Zheng, Dianzheng Fu, Yang Fu, Shuai Li:
A Cloud Computing Platform for Data Analysis Based on R Cluster. CyberC 2016: 243-248 - [c13]Zeyu Zheng, Peter W. Glynn:
Extensions of the regenerative method to new functionals. WSC 2016: 289-301 - 2015
- [j7]Yonglai Zhang, Xiaofeng Zhou, Haibo Shi, Zeyu Zheng, Shuai Li:
Corrosion pitting damage detection of rolling bearings using data mining techniques. Int. J. Model. Identif. Control. 24(3): 235-243 (2015) - 2014
- [j6]Xiangguang Zhang, Zeyu Zheng, Ichio Asanuma, Yongsheng Xu:
A new kind of hybrid filter based on the intersecting cortical model and the improved Extremum-and-Median filter. Artif. Life Robotics 19(2): 115-119 (2014) - [j5]Xiaofeng Zhou, Yonglai Zhang, Mingrui Shi, Haibo Shi, Zeyu Zheng:
Early detection of liver disease using data visualisation and classification method. Biomed. Signal Process. Control. 11: 27-35 (2014) - [j4]Zeyu Zheng, Jinfan Wang, Jing Ren, Weigang Hou, Jianping Wang:
Least Maintenance Batch Scheduling in Cloud Data Center Networks. IEEE Commun. Lett. 18(6): 901-904 (2014) - 2013
- [j3]Weigang Hou, Lei Guo, Zeyu Zheng, Xu Zhang:
Green Grooming in a More Realistic and Multidomain Optical Network. JOCN 5(8): 858-869 (2013) - [c12]Miaomiao Wen, Zeyu Zheng, Hyeju Jang, Guang Xiang, Carolyn Penstein Rosé:
Extracting Events with Informal Temporal References in Personal Histories in Online Communities. ACL (2) 2013: 836-842 - [c11]Weigang Hou, Lei Guo, Zeyu Zheng:
On routing and aggregation of many-to-many sessions over green WDM optical networks. ICC 2013: 3830-3834 - [c10]Zeyu Zheng, Minming Li, Xun Xiao, Jianping Wang:
Coordinated resource provisioning and maintenance scheduling in cloud data centers. INFOCOM 2013: 345-349 - 2012
- [j2]Zeyu Zheng, Naoko Sakurai, Takeshi Fujiwara, Kousuke Yoshizawa, Kazuko Yamasaki:
Correlation and hierarchies in financial markets. Artif. Life Robotics 17(1): 136-139 (2012) - [j1]Zeyu Zheng, Shengli Fu, Kejie Lu, Jianping Wang, Biao Chen:
On the relay selection for cooperative wireless networks with physical-layer network coding. Wirel. Networks 18(6): 653-665 (2012) - [c9]Guang Xiang, Zeyu Zheng, Miaomiao Wen, Jason I. Hong, Carolyn Penstein Rosé, Chao Liu:
A Supervised Approach to Predict Company Acquisition with Factual and Topic Features Using Profiles and News Articles on TechCrunch. ICWSM 2012 - [c8]Ranjitha Gurunath Kulkarni, Gaurav Trivedi, Tushar Suresh, Miaomiao Wen, Zeyu Zheng, Carolyn P. Rosé:
Supporting collaboration in Wikipedia between language communities. ICIC 2012: 47-56 - [i1]Xiumin Wang, Jianping Wang, Zeyu Zheng, Yinlong Xu, Mei Yang:
Service Composition in Service-Oriented Wireless Sensor Networks with Persistent Queries. CoRR abs/1202.3254 (2012) - 2010
- [c7]Shifang Dai, Zeyu Zheng, Jianping Wang, Xinming Zhang:
Wavelength Assignment Scheme of ONUs in Hybrid TDM/WDM Fiber-Wireless Networks. ICC 2010: 1-5 - [c6]Zeyu Zheng, Jun Yan, Shuicheng Yan, Ning Liu, Zheng Chen, Ming Zhang:
A Novel Contrast Co-learning Framework for Generating High Quality Training Data. ICDM 2010: 649-658 - [c5]Jun Yan, Zeyu Zheng, Li Jiang, Yan Li, Shuicheng Yan, Zheng Chen:
A co-learning framework for learning user search intents from rule-generated training data. SIGIR 2010: 895-896
2000 – 2009
- 2009
- [c4]Xiumin Wang, Jianping Wang, Zeyu Zheng, Yinlong Xu, Mei Yang:
Service Composition in Service-Oriented Wireless Sensor Networks with Persistent Queries. CCNC 2009: 1-5 - [c3]Zeyu Zheng, Jianping Wang, Xiumin Wang:
ONU Placement in Fiber-Wireless (FiWi) Networks Considering Peer-to-Peer Communications. GLOBECOM 2009: 1-7 - [c2]Zeyu Zheng, Jianping Wang, Jin Wang:
A Study of Network Throughput Gain in Optical-Wireless (FiWi) Networks Subject to Peer-to-Peer Communications. ICC 2009: 1-6 - [c1]Qin Xin, Fredrik Manne, Yan Zhang, Jianping Wang, Zeyu Zheng:
Almost Optimal Distributed M2M Multicasting in Wireless Mesh Networks. MASS 2009: 120-129
Coauthor Index
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