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2020 – today
- 2024
[j24]Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou:
Robust Average-Reward Reinforcement Learning. J. Artif. Intell. Res. 80: 719-803 (2024)- [j23]Yue Wang, Yi Zhou, Shaofeng Zou
:
Finite-time error bounds for Greedy-GQ. Mach. Learn. 113(9): 5981-6018 (2024) - [j22]Tianjiao Li, Ziwei Guan, Shaofeng Zou, Tengyu Xu, Yingbin Liang, Guanghui Lan:
Faster algorithm and sharper analysis for constrained Markov decision process. Oper. Res. Lett. 54: 107107 (2024) - [j21]Zhongchang Sun, Shaofeng Zou:
Quickest Change Detection in Autoregressive Models. IEEE Trans. Inf. Theory 70(7): 5248-5268 (2024) - [j20]Tengyu Xu, Yue Wang, Shaofeng Zou, Yingbin Liang:
Provably Efficient Offline Reinforcement Learning With Trajectory-Wise Reward. IEEE Trans. Inf. Theory 70(9): 6481-6518 (2024) - [j19]Yue Wang, Jinjun Xiong, Shaofeng Zou:
Achieving the Asymptotically Minimax Optimal Sample Complexity of Offline Reinforcement Learning: A DRO-Based Approach. Trans. Mach. Learn. Res. 2024 (2024) - [j18]Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Shaofeng Zou, Fei Miao:
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? Trans. Mach. Learn. Res. 2024 (2024) - [c57]Qi Zhang, Yi Zhou, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou:
Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization. AAAI 2024: 8217-8225 - [c56]Junze Deng, Yuan Cheng, Shaofeng Zou, Yingbin Liang:
Sample Complexity Characterization for Linear Contextual MDPs. AISTATS 2024: 1693-1701 - [c55]Alessandro N. Baccarini, Marina Blanton, Shaofeng Zou:
Understanding Information Disclosure from Secure Computation Output: A Study of Average Salary Computation. CODASPY 2024: 187-198 - [c54]Zhongchang Sun, Sihong He, Fei Miao, Shaofeng Zou:
Constrained Reinforcement Learning Under Model Mismatch. ICML 2024 - [c53]Yudan Wang, Yue Wang, Yi Zhou, Shaofeng Zou:
Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation. ICML 2024 - [c52]Shaofeng Zou, Xuyang Wang, Tao Yuan, Kaihui Zeng, Guolin Li, Xiang Xie:
Moving Object Detection in Shallow Underwater using Multi-Scale Spatial-Temporal Lacunarity. ISCAS 2024: 1-5 - [c51]Akshayaa Magesh, Zhongchang Sun, Venugopal V. Veeravalli, Shaofeng Zou:
Robust Multi-Hypothesis Testing with Moment-Constrained Uncertainty Sets. ISIT 2024: 849-854 - [i41]Junze Deng, Yuan Cheng, Shaofeng Zou, Yingbin Liang:
Sample Complexity Characterization for Linear Contextual MDPs. CoRR abs/2402.02700 (2024) - [i40]Qi Zhang, Yi Zhou, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou:
Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization. CoRR abs/2404.01200 (2024) - [i39]Qi Zhang, Yi Zhou, Shaofeng Zou:
Convergence Guarantees for RMSProp and Adam in Generalized-smooth Non-convex Optimization with Affine Noise Variance. CoRR abs/2404.01436 (2024) - [i38]Zhongchang Sun, Sihong He, Fei Miao, Shaofeng Zou:
Constrained Reinforcement Learning Under Model Mismatch. CoRR abs/2405.01327 (2024) - [i37]Yudan Wang, Peiyao Xiao, Hao Ban, Kaiyi Ji, Shaofeng Zou:
Finite-Time Analysis for Conflict-Avoidant Multi-Task Reinforcement Learning. CoRR abs/2405.16077 (2024) - [i36]Qi Zhang, Peiyao Xiao, Kaiyi Ji, Shaofeng Zou:
On the Convergence of Multi-objective Optimization under Generalized Smoothness. CoRR abs/2405.19440 (2024) - [i35]Yudan Wang, Yue Wang, Yi Zhou, Shaofeng Zou:
Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation. CoRR abs/2406.01762 (2024) - [i34]Yudan Wang, Shaofeng Zou, Yue Wang:
Model-Free Robust Reinforcement Learning with Sample Complexity Analysis. CoRR abs/2406.17096 (2024) - 2023
- [j17]Shaocong Ma, Ziyi Chen, Shaofeng Zou, Yi Zhou:
Decentralized Robust V-learning for Solving Markov Games with Model Uncertainty. J. Mach. Learn. Res. 24: 371:1-371:40 (2023) - [j16]Zhongchang Sun, Shaofeng Zou:
Kernel Robust Hypothesis Testing. IEEE Trans. Inf. Theory 69(10): 6619-6638 (2023) - [j15]Sihong He, Songyang Han, Sanbao Su, Shuo Han, Shaofeng Zou, Fei Miao:
Robust Multi-Agent Reinforcement Learning with State Uncertainty. Trans. Mach. Learn. Res. 2023 (2023) - [j14]Zhongchang Sun, Shaofeng Zou:
Quickest Anomaly Detection in Sensor Networks With Unlabeled Samples. IEEE Trans. Signal Process. 71: 873-887 (2023) - [c50]Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou:
Robust Average-Reward Markov Decision Processes. AAAI 2023: 15215-15223 - [c49]Akshayaa Magesh, Zhongchang Sun, Venugopal V. Veeravalli, Shaofeng Zou:
Robust Hypothesis Testing With Moment Constrained Uncertainty Sets. ICASSP 2023: 1-5 - [c48]Qi Zhang, Zhongchang Sun, Luis C. Herrera, Shaofeng Zou:
Data-Driven Quickest Change Detection in Markov Models. ICASSP 2023: 1-5 - [c47]Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou:
Model-Free Robust Average-Reward Reinforcement Learning. ICML 2023: 36431-36469 - [c46]Sihong He, Yue Wang, Shuo Han, Shaofeng Zou, Fei Miao:
A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems. IROS 2023: 5637-5644 - [c45]Qi Zhang, Zhongchang Sun, Luis C. Herrera, Shaofeng Zou:
Data-Driven Quickest Change Detection in Hidden Markov Models. ISIT 2023: 2643-2648 - [i33]Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou:
Robust Average-Reward Markov Decision Processes. CoRR abs/2301.00858 (2023) - [i32]Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou:
Model-Free Robust Average-Reward Reinforcement Learning. CoRR abs/2305.10504 (2023) - [i31]Yue Wang, Yuting Hu, Jinjun Xiong, Shaofeng Zou:
Distributionally Robust Optimization Efficiently Solves Offline Reinforcement Learning. CoRR abs/2305.13289 (2023) - [i30]Sihong He, Songyang Han, Sanbao Su, Shuo Han, Shaofeng Zou, Fei Miao:
Robust Multi-Agent Reinforcement Learning with State Uncertainty. CoRR abs/2307.16212 (2023) - [i29]Zhongchang Sun, Shaofeng Zou:
Quickest Change Detection in Autoregressive Models. CoRR abs/2310.08789 (2023) - 2022
- [j13]Zhongchang Sun, Shaofeng Zou, Ruizhi Zhang, Qunwei Li:
Quickest Change Detection in Anonymous Heterogeneous Sensor Networks. IEEE Trans. Signal Process. 70: 1041-1055 (2022) - [c44]Ziyi Chen, Yi Zhou, Rong-Rong Chen, Shaofeng Zou:
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis. ICML 2022: 3794-3834 - [c43]Yue Wang, Shaofeng Zou:
Policy Gradient Method For Robust Reinforcement Learning. ICML 2022: 23484-23526 - [c42]Zhongchang Sun, Shaofeng Zou:
Robust Hypothesis Testing with Kernel Uncertainty Sets. ISIT 2022: 3309-3314 - [c41]Yudan Wang, Yue Wang, Yi Zhou, Alvaro Velasquez, Shaofeng Zou:
Data-Driven Robust Multi-Agent Reinforcement Learning. MLSP 2022: 1-6 - [i28]Zhongchang Sun, Shaofeng Zou:
Kernel Robust Hypothesis Testing. CoRR abs/2203.12777 (2022) - [i27]Yue Wang, Shaofeng Zou:
Policy Gradient Method For Robust Reinforcement Learning. CoRR abs/2205.07344 (2022) - [i26]Yue Wang, Yi Zhou, Shaofeng Zou:
Finite-Time Error Bounds for Greedy-GQ. CoRR abs/2209.02555 (2022) - [i25]Yue Wang, Fei Miao, Shaofeng Zou:
Robust Constrained Reinforcement Learning. CoRR abs/2209.06866 (2022) - [i24]Sihong He, Yue Wang, Shuo Han, Shaofeng Zou, Fei Miao:
A Robust and Constrained Multi-Agent Reinforcement Learning Framework for Electric Vehicle AMoD Systems. CoRR abs/2209.08230 (2022) - [i23]Alessandro N. Baccarini, Marina Blanton, Shaofeng Zou:
Understanding Information Disclosure from Secure Computation Output: A Study of Average Salary Computation. CoRR abs/2209.10457 (2022) - [i22]Akshayaa Magesh, Zhongchang Sun, Venugopal V. Veeravalli, Shaofeng Zou:
Robust Hypothesis Testing with Moment Constrained Uncertainty Sets. CoRR abs/2210.12869 (2022) - 2021
- [j12]Yuheng Bu, Weihao Gao, Shaofeng Zou, Venugopal V. Veeravalli:
Population Risk Improvement with Model Compression: An Information-Theoretic Approach. Entropy 23(10): 1255 (2021) - [j11]Liyan Xie, Shaofeng Zou, Yao Xie, Venugopal V. Veeravalli:
Sequential (Quickest) Change Detection: Classical Results and New Directions. IEEE J. Sel. Areas Inf. Theory 2(2): 494-514 (2021) - [c40]Qunwei Li, Shaofeng Zou, Wenliang Zhong:
Learning Graph Neural Networks with Approximate Gradient Descent. AAAI 2021: 8438-8446 - [c39]Shaocong Ma, Ziyi Chen, Yi Zhou, Shaofeng Zou:
Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity. ICLR 2021 - [c38]Shaofeng Zou, Jiawei Lin, Xuyang Wang, Guolin Li, Zhihua Wang, Xiang Xie:
An Object Enhancement Method for Forward-Looking Sonar Images Based on Multi-Frame Fusion. ISCAS 2021: 1-5 - [c37]Zhongchang Sun, Shaofeng Zou:
Quickest Dynamic Anomaly Detection in Anonymous Heterogeneous Sensor Networks. ISIT 2021: 106-111 - [c36]Zhongchang Sun, Qunwei Li, Ruizhi Zhang, Shaofeng Zou:
A Computationally Efficient Algorithm for Quickest Change Detection in Anonymous Heterogeneous Sensor Networks. ISIT 2021: 599-604 - [c35]Zhongchang Sun, Shaofeng Zou:
A Data-Driven Approach to Robust Hypothesis Testing Using Kernel MMD Uncertainty Sets. ISIT 2021: 3056-3061 - [c34]Yue Wang, Shaofeng Zou:
Online Robust Reinforcement Learning with Model Uncertainty. NeurIPS 2021: 7193-7206 - [c33]Yue Wang, Shaofeng Zou, Yi Zhou:
Non-Asymptotic Analysis for Two Time-scale TDC with General Smooth Function Approximation. NeurIPS 2021: 9747-9758 - [i21]Shaocong Ma, Ziyi Chen, Yi Zhou, Shaofeng Zou:
Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity. CoRR abs/2103.16377 (2021) - [i20]Yue Wang, Shaofeng Zou, Yi Zhou:
Finite-Sample Analysis for Two Time-scale Non-linear TDC with General Smooth Function Approximation. CoRR abs/2104.02836 (2021) - [i19]Ziyi Chen, Yi Zhou, Rongrong Chen, Shaofeng Zou:
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis. CoRR abs/2109.03699 (2021) - [i18]Yue Wang, Shaofeng Zou:
Online Robust Reinforcement Learning with Model Uncertainty. CoRR abs/2109.14523 (2021) - [i17]Tianjiao Li, Ziwei Guan, Shaofeng Zou, Tengyu Xu, Yingbin Liang, Guanghui Lan:
Faster Algorithm and Sharper Analysis for Constrained Markov Decision Process. CoRR abs/2110.10351 (2021) - 2020
- [j10]Yuheng Bu, Shaofeng Zou, Venugopal V. Veeravalli:
Tightening Mutual Information-Based Bounds on Generalization Error. IEEE J. Sel. Areas Inf. Theory 1(1): 121-130 (2020) - [j9]Shaofeng Zou, Venugopal V. Veeravalli, Jian Li, Don Towsley:
Quickest Detection of Dynamic Events in Networks. IEEE Trans. Inf. Theory 66(4): 2280-2295 (2020) - [c32]Yuheng Bu, Weihao Gao, Shaofeng Zou, Venugopal V. Veeravalli:
Information-Theoretic Understanding of Population Risk Improvement with Model Compression. AAAI 2020: 3300-3307 - [c31]Zhongchang Sun, Shaofeng Zou, Qunwei Li:
Quickest Change Detection In Anonymous Heterogeneous Sensor Networks. ICASSP 2020: 5925-5929 - [c30]Ruizhi Zhang, Shaofeng Zou:
A Game-Theoretic Approach to Sequential Detection in Adversarial Environments. ISIT 2020: 1153-1158 - [c29]Shaocong Ma, Yi Zhou, Shaofeng Zou:
Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis. NeurIPS 2020 - [c28]Yue Wang, Shaofeng Zou:
Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise. UAI 2020: 11-20 - [i16]Shaofeng Zou, Mingzhu Long, Xuyang Wang, Xiang Xie, Guolin Li, Zhihua Wang:
A CNN-Based Blind Denoising Method for Endoscopic Images. CoRR abs/2003.06986 (2020) - [i15]Yue Wang, Shaofeng Zou:
Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise. CoRR abs/2005.10175 (2020) - [i14]Shaocong Ma, Yi Zhou, Shaofeng Zou:
Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis. CoRR abs/2010.13272 (2020) - [i13]Qunwei Li, Shaofeng Zou, Wenliang Zhong:
Learning Graph Neural Networks with Approximate Gradient Descent. CoRR abs/2012.03429 (2020)
2010 – 2019
- 2019
- [j8]Shaofeng Zou, Georgios Fellouris, Venugopal V. Veeravalli:
Quickest Change Detection Under Transient Dynamics: Theory and Asymptotic Analysis. IEEE Trans. Inf. Theory 65(3): 1397-1412 (2019) - [j7]Yuheng Bu, Shaofeng Zou, Venugopal V. Veeravalli:
Linear-Complexity Exponentially-Consistent Tests for Universal Outlying Sequence Detection. IEEE Trans. Signal Process. 67(8): 2115-2128 (2019) - [c27]Jian Li, Don Towsley, Shaofeng Zou, Venugopal V. Veeravalli, Gabriela F. Ciocarlie:
A Consensus-based Approach for Distributed Quickest Detection of Significant Events in Networks. ACSSC 2019: 1881-1884 - [c26]Xuyang Wang, Mingzhu Long, Shaofeng Zou, Xiang Xie, Guolin Li, Zhihua Wang:
Detail Recovery in Medical Images Denoising. BioCAS 2019: 1-4 - [c25]Shaofeng Zou, Mingzhu Long, Xuyang Wang, Xiang Xie, Guolin Li, Zhihua Wang:
A CNN-Based Blind Denoising Method for Endoscopic Images. BioCAS 2019: 1-4 - [c24]Shaofeng Zou, Venugopal V. Veeravalli, Jian Li, Don Towsley, Ananthram Swami:
Distributed Quickest Detection of Significant Events in Networks. ICASSP 2019: 8454-8458 - [c23]Yuheng Bu, Shaofeng Zou, Venugopal V. Veeravalli:
Tightening Mutual Information Based Bounds on Generalization Error. ISIT 2019: 587-591 - [c22]Georgios Rovatsos, Shaofeng Zou, Venugopal V. Veeravalli:
Quickest Detection of a Moving Target in a Sensor Network. ISIT 2019: 2399-2403 - [c21]Shaofeng Zou, Tengyu Xu, Yingbin Liang:
Finite-Sample Analysis for SARSA with Linear Function Approximation. NeurIPS 2019: 8665-8675 - [c20]Tengyu Xu, Shaofeng Zou, Yingbin Liang:
Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples. NeurIPS 2019: 10633-10643 - [i12]Yuheng Bu, Shaofeng Zou, Venugopal V. Veeravalli:
Tightening Mutual Information Based Bounds on Generalization Error. CoRR abs/1901.04609 (2019) - [i11]Yuheng Bu, Weihao Gao, Shaofeng Zou, Venugopal V. Veeravalli:
Information-Theoretic Understanding of Population Risk Improvement with Model Compression. CoRR abs/1901.09421 (2019) - [i10]Shaofeng Zou, Tengyu Xu, Yingbin Liang:
Finite-Sample Analysis for SARSA and Q-Learning with Linear Function Approximation. CoRR abs/1902.02234 (2019) - [i9]Tengyu Xu, Shaofeng Zou, Yingbin Liang:
Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples. CoRR abs/1909.11907 (2019) - 2018
- [j6]Shaofeng Zou, Yingbin Liang, Lifeng Lai, H. Vincent Poor, Shlomo Shamai Shitz:
Degraded Broadcast Channel With Secrecy Outside a Bounded Range. IEEE Trans. Inf. Theory 64(3): 2104-2120 (2018) - [j5]Yuheng Bu, Shaofeng Zou, Yingbin Liang, Venugopal V. Veeravalli:
Estimation of KL Divergence: Optimal Minimax Rate. IEEE Trans. Inf. Theory 64(4): 2648-2674 (2018) - [c19]Shaofeng Zou, Venugopal V. Veeravalli, Jian Li, Don Towsley:
Quickest Detection of Significant Events in Structured Networks. ACSSC 2018: 1307-1311 - [c18]Georgios Rovatsos, Shaofeng Zou, Alejandro D. Domínguez-García, Venugopal V. Veeravalli:
Stochastic Control of Power Supply in Data Centers. ACSSC 2018: 1470-1474 - [c17]Shaofeng Zou, Venugopal V. Veeravalli:
Quickest Detection of Dynamic Events in Sensor Networks. ICASSP 2018: 6907-6911 - [i8]Shaofeng Zou, Venugopal V. Veeravalli, Jian Li, Don Towsley:
Quickest Detection of Dynamic Events in Networks. CoRR abs/1807.06143 (2018) - 2017
- [j4]Shaofeng Zou, Yingbin Liang, H. Vincent Poor:
Nonparametric Detection of Geometric Structures Over Networks. IEEE Trans. Signal Process. 65(19): 5034-5046 (2017) - [j3]Shaofeng Zou, Yingbin Liang, H. Vincent Poor, Xinghua Shi:
Nonparametric Detection of Anomalous Data Streams. IEEE Trans. Signal Process. 65(21): 5785-5797 (2017) - [c16]Shaofeng Zou, Yingbin Liang, Shlomo Shamai:
Gaussian fading channel with secrecy outside a bounded range. CNS 2017: 545-549 - [c15]Georgios Rovatsos, Shaofeng Zou, Venugopal V. Veeravalli:
Quickest change detection under transient dynamics. ICASSP 2017: 4785-4789 - [c14]Yuheng Bu, Shaofeng Zou, Venugopal V. Veeravalli:
Linear-complexity exponentially-consistent tests for universal outlying sequence detection. ISIT 2017: 988-992 - [c13]Shaofeng Zou, Georgios Fellouris, Venugopal V. Veeravalli:
Asymptotic optimality of D-CuSum for quickest change detection under transient dynamics. ISIT 2017: 2263-2267 - [i7]Yuheng Bu, Shaofeng Zou, Venugopal V. Veeravalli:
Linear Complexity Exponentially Consistent Tests for Outlying Sequence Detection. CoRR abs/1701.06084 (2017) - [i6]Shaofeng Zou, Georgios Fellouris, Venugopal V. Veeravalli:
Quickest Change Detection under Transient Dynamics: Theory and Asymptotic Analysis. CoRR abs/1711.02186 (2017) - 2016
- [c12]Shaofeng Zou, Yingbin Liang, H. Vincent Poor:
Nonparametric detection of an anomalous disk over a two-dimensional lattice network. ICASSP 2016: 2394-2398 - [c11]Yuheng Bu, Shaofeng Zou, Yingbin Liang, Venugopal V. Veeravalli:
Universal outlying sequence detection for continuous observations. ICASSP 2016: 4254-4258 - [c10]Yuheng Bu, Shaofeng Zou, Yingbin Liang, Venugopal V. Veeravalli:
Estimation of KL divergence between large-alphabet distributions. ISIT 2016: 1118-1122 - [c9]Shaofeng Zou, Yingbin Liang, Lifeng Lai, H. Vincent Poor, Shlomo Shamai:
K-user degraded broadcast channel with secrecy outside a bounded range. ITW 2016: 31-35 - [i5]Yuheng Bu, Shaofeng Zou, Yingbin Liang, Venugopal V. Veeravalli:
Estimation of KL Divergence: Optimal Minimax Rate. CoRR abs/1607.02653 (2016) - [i4]Shaofeng Zou, Yingbin Liang, Lifeng Lai, H. Vincent Poor, Shlomo Shamai:
Degraded Broadcast Channel with Secrecy Outside a Bounded Range. CoRR abs/1609.06353 (2016) - 2015
- [j2]Shaofeng Zou, Yingbin Liang, Lifeng Lai, H. Vincent Poor, Shlomo Shamai:
Broadcast Networks With Layered Decoding and Layered Secrecy: Theory and Applications. Proc. IEEE 103(10): 1841-1856 (2015) - [j1]Shaofeng Zou, Yingbin Liang, Lifeng Lai, Shlomo Shamai:
An Information Theoretic Approach to Secret Sharing. IEEE Trans. Inf. Theory 61(6): 3121-3136 (2015) - [c8]Shaofeng Zou, Yingbin Liang, Lifeng Lai, Shlomo Shamai:
Rate splitting and sharing for degraded broadcast channel with secrecy outside a bounded range. ISIT 2015: 1357-1361 - [c7]Shaofeng Zou, Yingbin Liang, Lifeng Lai, Shlomo Shamai:
Degraded broadcast channel: Secrecy outside of a bounded range. ITW 2015: 1-5 - [i3]Yuheng Bu, Shaofeng Zou, Yingbin Liang, Venugopal V. Veeravalli:
Universal Outlying sequence detection For Continuous Observations. CoRR abs/1509.07040 (2015) - 2014
- [c6]Shaofeng Zou, Yingbin Liang, H. Vincent Poor, Xinghua Shi:
Unsupervised nonparametric anomaly detection: A kernel method. Allerton 2014: 836-841 - [c5]Shaofeng Zou, Yingbin Liang, Lifeng Lai, Shlomo Shamai:
Layered secure broadcasting over MIMO channels and application in secret sharing. ISIT 2014: 396-400 - [c4]Shaofeng Zou, Yingbin Liang, H. Vincent Poor:
A kernel-based nonparametric test for anomaly detection over line networks. MLSP 2014: 1-6 - [c3]Shaofeng Zou, Yingbin Liang, H. Vincent Poor, Xinghua Shi:
Kernel-based nonparametric anomaly detection. SPAWC 2014: 224-228 - [i2]Shaofeng Zou, Yingbin Liang, Lifeng Lai, Shlomo Shamai:
An Information Theoretic Approach to Secret Sharing. CoRR abs/1404.6474 (2014) - [i1]Shaofeng Zou, Yingbin Liang, H. Vincent Poor, Xinghua Shi:
Nonparametric Detection of Anomalous Data via Kernel Mean Embedding. CoRR abs/1405.2294 (2014) - 2013
- [c2]Shaofeng Zou, Yingbin Liang, Shlomo Shamai:
Multiple access channel with state uncertainty at transmitters. ISIT 2013: 1466-1470 - [c1]Shaofeng Zou, Yingbin Liang, Lifeng Lai, Shlomo Shamai:
Layered decoding and secrecy over degraded broadcast channels. SPAWC 2013: 679-683
Coauthor Index
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