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Yingbin Liang
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2020 – today
- 2024
- [j69]Peizhong Ju
, Chengzhang Li
, Yingbin Liang, Ness B. Shroff:
AI-EDGE: An NSF AI institute for future edge networks and distributed intelligence. AI Mag. 45(1): 29-34 (2024) - [j68]Songtao Feng
, Ming Yin, Ruiquan Huang, Yu-Xiang Wang
, Jing Yang
, Yingbin Liang
:
Toward General Function Approximation in Nonstationary Reinforcement Learning. IEEE J. Sel. Areas Inf. Theory 5: 190-206 (2024) - [j67]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) - [c135]Junze Deng, Yuan Cheng, Shaofeng Zou, Yingbin Liang:
Sample Complexity Characterization for Linear Contextual MDPs. AISTATS 2024: 1693-1701 - [c134]Ziwei Guan, Yi Zhou, Yingbin Liang:
On the Hardness of Online Nonconvex Optimization with Single Oracle Feedback. ICLR 2024 - [c133]Ruiquan Huang, Yuan Cheng, Jing Yang, Vincent Tan, Yingbin Liang:
Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes. ICLR 2024 - [c132]Ruiquan Huang, Yingbin Liang, Jing Yang:
Provably Efficient UCB-type Algorithms For Learning Predictive State Representations. ICLR 2024 - [c131]Daouda Sow, Sen Lin, Zhangyang Wang, Yingbin Liang:
Doubly Robust Instance-Reweighted Adversarial Training. ICLR 2024 - [i117]Junze Deng, Yuan Cheng, Shaofeng Zou, Yingbin Liang:
Sample Complexity Characterization for Linear Contextual MDPs. CoRR abs/2402.02700 (2024) - [i116]Yuchen Liang, Peizhong Ju, Yingbin Liang, Ness B. Shroff:
Non-asymptotic Convergence of Discrete-time Diffusion Models: New Approach and Improved Rate. CoRR abs/2402.13901 (2024) - [i115]Xuxi Chen, Zhendong Wang, Daouda Sow, Junjie Yang, Tianlong Chen, Yingbin Liang, Mingyuan Zhou, Zhangyang Wang:
Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization. CoRR abs/2402.14270 (2024) - [i114]Yu Huang, Zixin Wen, Yuejie Chi, Yingbin Liang:
Transformers Provably Learn Feature-Position Correlations in Masked Image Modeling. CoRR abs/2403.02233 (2024) - [i113]Jinyin Wang, Haijing Zhang, Yihao Zhong, Yingbin Liang, Rongwei Ji, Yiru Cang:
Advanced Multimodal Deep Learning Architecture for Image-Text Matching. CoRR abs/2406.15306 (2024) - [i112]Hongbo Li, Sen Lin, Lingjie Duan, Yingbin Liang, Ness B. Shroff:
Theory on Mixture-of-Experts in Continual Learning. CoRR abs/2406.16437 (2024) - 2023
- [j66]Kaiyi Ji, Yingbin Liang:
Lower Bounds and Accelerated Algorithms for Bilevel Optimization. J. Mach. Learn. Res. 24: 22:1-22:56 (2023) - [j65]Yu Huang, Yuan Cheng, Yingbin Liang, Longbo Huang:
Online Min-max Problems with Non-convexity and Non-stationarity. Trans. Mach. Learn. Res. 2023 (2023) - [c130]Xuyang Chen, Jingliang Duan, Yingbin Liang, Lin Zhao:
Global Convergence of Two-Timescale Actor-Critic for Solving Linear Quadratic Regulator. AAAI 2023: 7087-7095 - [c129]Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang:
Learning to Generalize Provably in Learning to Optimize. AISTATS 2023: 9807-9825 - [c128]Ziwei Guan, Yi Zhou, Yingbin Liang:
Online Nonconvex Optimization with Limited Instantaneous Oracle Feedback. COLT 2023: 3328-3355 - [c127]Yuan Cheng, Ruiquan Huang, Yingbin Liang, Jing Yang:
Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs. ICLR 2023 - [c126]Ruiquan Huang, Jing Yang, Yingbin Liang:
Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-Free RL. ICLR 2023 - [c125]Peizhong Ju, Yingbin Liang, Ness B. Shroff:
Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning. ICLR 2023 - [c124]Ming Shi, Yingbin Liang, Ness B. Shroff:
Near-Optimal Adversarial Reinforcement Learning with Switching Costs. ICLR 2023 - [c123]Junjie Yang, Xuxi Chen, Tianlong Chen, Zhangyang Wang, Yingbin Liang:
M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation. ICLR 2023 - [c122]Ziyi Chen, Yi Zhou, Yingbin Liang, Zhaosong Lu:
Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization. ICML 2023: 5396-5427 - [c121]Songtao Feng, Ming Yin, Ruiquan Huang, Yu-Xiang Wang, Jing Yang, Yingbin Liang:
Non-stationary Reinforcement Learning under General Function Approximation. ICML 2023: 9976-10007 - [c120]Sen Lin, Peizhong Ju, Yingbin Liang, Ness B. Shroff:
Theory on Forgetting and Generalization of Continual Learning. ICML 2023: 21078-21100 - [c119]Ming Shi, Yingbin Liang, Ness B. Shroff:
A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints. ICML 2023: 31243-31268 - [c118]Yuan Cheng, Jing Yang, Yingbin Liang:
Provably Efficient Algorithm for Nonstationary Low-Rank MDPs. NeurIPS 2023 - [c117]Sen Lin, Daouda Sow, Kaiyi Ji, Yingbin Liang, Ness B. Shroff:
Non-Convex Bilevel Optimization with Time-Varying Objective Functions. NeurIPS 2023 - [i111]Hongru Yang, Ziyu Jiang, Ruizhe Zhang, Zhangyang Wang, Yingbin Liang:
Convergence and Generalization of Wide Neural Networks with Large Bias. CoRR abs/2301.00327 (2023) - [i110]Hongru Yang, Yingbin Liang, Xiaojie Guo, Lingfei Wu, Zhangyang Wang:
Pruning Before Training May Improve Generalization, Provably. CoRR abs/2301.00335 (2023) - [i109]Daouda Sow, Sen Lin, Yingbin Liang, Junshan Zhang:
Algorithm Design for Online Meta-Learning with Task Boundary Detection. CoRR abs/2302.00857 (2023) - [i108]Ming Shi, Yingbin Liang, Ness B. Shroff:
Near-Optimal Adversarial Reinforcement Learning with Switching Costs. CoRR abs/2302.04374 (2023) - [i107]Ming Shi, Yingbin Liang, Ness B. Shroff:
A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints. CoRR abs/2302.04375 (2023) - [i106]Sen Lin, Peizhong Ju, Yingbin Liang, Ness B. Shroff:
Theory on Forgetting and Generalization of Continual Learning. CoRR abs/2302.05836 (2023) - [i105]Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang:
Learning to Generalize Provably in Learning to Optimize. CoRR abs/2302.11085 (2023) - [i104]Junjie Yang, Xuxi Chen, Tianlong Chen, Zhangyang Wang, Yingbin Liang:
M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation. CoRR abs/2303.00039 (2023) - [i103]Yuan Cheng, Ruiquan Huang, Jing Yang, Yingbin Liang:
Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs. CoRR abs/2303.10859 (2023) - [i102]Peizhong Ju, Yingbin Liang, Ness B. Shroff:
Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning. CoRR abs/2304.04312 (2023) - [i101]Songtao Feng, Ming Yin, Ruiquan Huang, Yu-Xiang Wang, Jing Yang, Yingbin Liang:
Non-stationary Reinforcement Learning under General Function Approximation. CoRR abs/2306.00861 (2023) - [i100]Peizhong Ju, Sen Lin, Mark S. Squillante, Yingbin Liang, Ness B. Shroff:
Generalization Performance of Transfer Learning: Overparameterized and Underparameterized Regimes. CoRR abs/2306.04901 (2023) - [i99]Ming Shi, Yingbin Liang, Ness B. Shroff:
Theoretical Hardness and Tractability of POMDPs in RL with Partial Hindsight State Information. CoRR abs/2306.08762 (2023) - [i98]Ruiquan Huang, Yingbin Liang, Jing Yang:
Provably Efficient UCB-type Algorithms For Learning Predictive State Representations. CoRR abs/2307.00405 (2023) - [i97]Daouda Sow, Sen Lin, Zhangyang Wang, Yingbin Liang:
Doubly Robust Instance-Reweighted Adversarial Training. CoRR abs/2308.00311 (2023) - [i96]Sen Lin, Daouda Sow, Kaiyi Ji, Yingbin Liang, Ness B. Shroff:
Non-Convex Bilevel Optimization with Time-Varying Objective Functions. CoRR abs/2308.03811 (2023) - [i95]Yuan Cheng, Jing Yang, Yingbin Liang:
Provably Efficient Algorithm for Nonstationary Low-Rank MDPs. CoRR abs/2308.05471 (2023) - [i94]Songtao Feng, Ming Yin, Yu-Xiang Wang, Jing Yang, Yingbin Liang:
Model-Free Algorithm with Improved Sample Efficiency for Zero-Sum Markov Games. CoRR abs/2308.08858 (2023) - [i93]Yu Huang, Yuan Cheng, Yingbin Liang:
In-Context Convergence of Transformers. CoRR abs/2310.05249 (2023) - [i92]Ruiquan Huang, Yuan Cheng, Jing Yang, Vincent Tan, Yingbin Liang:
Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes. CoRR abs/2310.13550 (2023) - [i91]Junjie Yang, Jinze Zhao, Peihao Wang, Zhangyang Wang, Yingbin Liang:
Meta ControlNet: Enhancing Task Adaptation via Meta Learning. CoRR abs/2312.01255 (2023) - [i90]Junjie Yang, Tianlong Chen, Xuxi Chen, Zhangyang Wang, Yingbin Liang:
Rethinking PGD Attack: Is Sign Function Necessary? CoRR abs/2312.01260 (2023) - 2022
- [j64]Kaiyi Ji, Junjie Yang, Yingbin Liang:
Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning. J. Mach. Learn. Res. 23: 29:1-29:41 (2022) - [j63]Yi Zhou
, Yingbin Liang, Huishuai Zhang:
Understanding generalization error of SGD in nonconvex optimization. Mach. Learn. 111(1): 345-375 (2022) - [j62]Bin Dai
, Chong Li
, Yingbin Liang
, Zheng Ma
, Shlomo Shamai
:
Self-Secure Capacity-Achieving Feedback Schemes of Gaussian Multiple-Access Wiretap Channels With Degraded Message Sets. IEEE Trans. Inf. Forensics Secur. 17: 1583-1596 (2022) - [c116]Sen Lin, Ming Shi, Anish Arora, Raef Bassily, Elisa Bertino, Constantine Caramanis, Kaushik R. Chowdhury
, Eylem Ekici, Atilla Eryilmaz, Stratis Ioannidis
, Nan Jiang, Gauri Joshi, Jim Kurose, Yingbin Liang, Zhiqiang Lin, Jia Liu, Mingyan Liu, Tommaso Melodia
, Aryan Mokhtari, Rob Nowak, Sewoong Oh, Srini Parthasarathy, Chunyi Peng, Hulya Seferoglu, Ness B. Shroff, Sanjay Shakkottai, Kannan Srinivasan, Ameet Talwalkar, Aylin Yener, Lei Ying
:
Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks. CIC 2022: 16-25 - [c115]Ziwei Guan, Tengyu Xu, Yingbin Liang:
PER-ETD: A Polynomially Efficient Emphatic Temporal Difference Learning Method. ICLR 2022 - [c114]Sen Lin, Jialin Wan, Tengyu Xu, Yingbin Liang, Junshan Zhang:
Model-Based Offline Meta-Reinforcement Learning with Regularization. ICLR 2022 - [c113]Yuan Cheng, Songtao Feng, Jing Yang, Hong Zhang, Yingbin Liang:
Provable Benefit of Multitask Representation Learning in Reinforcement Learning. NeurIPS 2022 - [c112]Yu Huang, Yingbin Liang, Longbo Huang:
Provable Generalization of Overparameterized Meta-learning Trained with SGD. NeurIPS 2022 - [c111]Kaiyi Ji, Mingrui Liu, Yingbin Liang, Lei Ying:
Will Bilevel Optimizers Benefit from Loops. NeurIPS 2022 - [c110]Daouda Sow, Kaiyi Ji, Yingbin Liang:
On the Convergence Theory for Hessian-Free Bilevel Algorithms. NeurIPS 2022 - [c109]Tengyu Xu, Zhuoran Yang, Zhaoran Wang, Yingbin Liang:
A Unifying Framework of Off-Policy General Value Function Evaluation. NeurIPS 2022 - [c108]Shaocong Ma, Ziyi Chen, Yi Zhou, Kaiyi Ji, Yingbin Liang:
Data sampling affects the complexity of online SGD over dependent data. UAI 2022: 1296-1305 - [c107]Huaqing Xiong, Tengyu Xu, Lin Zhao, Yingbin Liang, Wei Zhang:
Deterministic policy gradient: Convergence analysis. UAI 2022: 2159-2169 - [i89]Sen Lin, Jialin Wan, Tengyu Xu, Yingbin Liang, Junshan Zhang:
Model-Based Offline Meta-Reinforcement Learning with Regularization. CoRR abs/2202.02929 (2022) - [i88]Daouda Sow, Kaiyi Ji, Ziwei Guan, Yingbin Liang:
A Constrained Optimization Approach to Bilevel Optimization with Multiple Inner Minima. CoRR abs/2203.01123 (2022) - [i87]Shaocong Ma, Ziyi Chen, Yi Zhou, Kaiyi Ji, Yingbin Liang:
Data Sampling Affects the Complexity of Online SGD over Dependent Data. CoRR abs/2204.00006 (2022) - [i86]Kaiyi Ji, Mingrui Liu, Yingbin Liang, Lei Ying:
Will Bilevel Optimizers Benefit from Loops. CoRR abs/2205.14224 (2022) - [i85]Yuan Cheng, Songtao Feng, Jing Yang, Hong Zhang, Yingbin Liang:
Provable Benefit of Multitask Representation Learning in Reinforcement Learning. CoRR abs/2206.05900 (2022) - [i84]Tengyu Xu, Yingbin Liang:
Provably Efficient Offline Reinforcement Learning with Trajectory-Wise Reward. CoRR abs/2206.06426 (2022) - [i83]Yu Huang, Yingbin Liang, Longbo Huang:
Provable Generalization of Overparameterized Meta-learning Trained with SGD. CoRR abs/2206.09136 (2022) - [i82]Ruiquan Huang, Jing Yang, Yingbin Liang:
Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-free RL. CoRR abs/2206.14057 (2022) - [i81]Xuyang Chen, Jingliang Duan
, Yingbin Liang, Lin Zhao:
Global Convergence of Two-timescale Actor-Critic for Solving Linear Quadratic Regulator. CoRR abs/2208.08744 (2022) - 2021
- [j61]Qunwei Li, Bhavya Kailkhura, Rushil Anirudh, Jize Zhang
, Yi Zhou, Yingbin Liang, Thomas Yong-Jin Han, Pramod K. Varshney:
MR-GAN: Manifold Regularized Generative Adversarial Networks for Scientific Data. SIAM J. Math. Data Sci. 3(4): 1197-1222 (2021) - [j60]Kaiyi Ji
, Yi Zhou, Yingbin Liang
:
Understanding Estimation and Generalization Error of Generative Adversarial Networks. IEEE Trans. Inf. Theory 67(5): 3114-3129 (2021) - [c106]Huaqing Xiong, Tengyu Xu, Yingbin Liang, Wei Zhang:
Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling. AAAI 2021: 10460-10468 - [c105]Tengyu Xu, Yingbin Liang:
Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms. AISTATS 2021: 811-819 - [c104]Ziwei Guan, Tengyu Xu, Yingbin Liang:
When Will Generative Adversarial Imitation Learning Algorithms Attain Global Convergence. AISTATS 2021: 1117-1125 - [c103]Ziyi Chen, Yi Zhou, Tengyu Xu, Yingbin Liang:
Proximal Gradient Descent-Ascent: Variable Convergence under KŁ Geometry. ICLR 2021 - [c102]Kaiyi Ji, Junjie Yang, Yingbin Liang:
Bilevel Optimization: Convergence Analysis and Enhanced Design. ICML 2021: 4882-4892 - [c101]Tengyu Xu, Yingbin Liang, Guanghui Lan:
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee. ICML 2021: 11480-11491 - [c100]Tengyu Xu, Zhuoran Yang, Zhaoran Wang, Yingbin Liang:
Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality. ICML 2021: 11581-11591 - [c99]Lin Zhao, Huaqing Xiong, Yingbin Liang:
Faster Non-asymptotic Convergence for Double Q-learning. NeurIPS 2021: 7242-7253 - [c98]Junjie Yang, Kaiyi Ji, Yingbin Liang:
Provably Faster Algorithms for Bilevel Optimization. NeurIPS 2021: 13670-13682 - [c97]Bowen Weng, Huaqing Xiong, Lin Zhao, Yingbin Liang, Wei Zhang:
Finite-time theory for momentum Q-learning. UAI 2021: 665-674 - [i80]Kaiyi Ji, Yingbin Liang:
Lower Bounds and Accelerated Algorithms for Bilevel Optimization. CoRR abs/2102.03926 (2021) - [i79]Ziyi Chen, Yi Zhou, Tengyu Xu, Yingbin Liang:
Proximal Gradient Descent-Ascent: Variable Convergence under KŁ Geometry. CoRR abs/2102.04653 (2021) - [i78]Tengyu Xu, Zhuoran Yang, Zhaoran Wang, Yingbin Liang:
Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality. CoRR abs/2102.11866 (2021) - [i77]Junjie Yang, Kaiyi Ji, Yingbin Liang:
Provably Faster Algorithms for Bilevel Optimization. CoRR abs/2106.04692 (2021) - [i76]Tengyu Xu, Zhuoran Yang, Zhaoran Wang, Yingbin Liang:
A Unified Off-Policy Evaluation Approach for General Value Function. CoRR abs/2107.02711 (2021) - [i75]Ziwei Guan, Tengyu Xu, Yingbin Liang:
PER-ETD: A Polynomially Efficient Emphatic Temporal Difference Learning Method. CoRR abs/2110.06906 (2021) - [i74]Daouda Sow, Kaiyi Ji, Yingbin Liang:
ES-Based Jacobian Enables Faster Bilevel Optimization. CoRR abs/2110.07004 (2021) - [i73]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
- [j59]Bin Dai, Chong Li, Yingbin Liang, H. Vincent Poor
, Shlomo Shamai (Shitz):
Enhancing physical layer security via channel feedback: a survey. EURASIP J. Wirel. Commun. Netw. 2020(1): 58 (2020) - [j58]Zhe Wang, Yingbin Liang, Pengsheng Ji:
Spectral Algorithms for Community Detection in Directed Networks. J. Mach. Learn. Res. 21: 153:1-153:45 (2020) - [j57]Bin Dai
, Chong Li
, Yingbin Liang, Zheng Ma
, Shlomo Shamai Shitz
:
Impact of Action-Dependent State and Channel Feedback on Gaussian Wiretap Channels. IEEE Trans. Inf. Theory 66(6): 3435-3455 (2020) - [j56]Haoyu Fu
, Yuejie Chi
, Yingbin Liang:
Guaranteed Recovery of One-Hidden-Layer Neural Networks via Cross Entropy. IEEE Trans. Signal Process. 68: 3225-3235 (2020) - [c96]Ziwei Guan, Kaiyi Ji, Donald J. Bucci Jr., Timothy Y. Hu, Joseph Palombo, Michael Liston, Yingbin Liang:
Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack. AAAI 2020: 4036-4043 - [c95]Ziwei Guan, Timothy Y. Hu, Joseph Palombo, Michael J. Liston, Donald J. Bucci, Yingbin Liang:
Robust Dynamic Spectrum Access in Adversarial Environments. ICC 2020: 1-7 - [c94]Tengyu Xu, Zhe Wang, Yi Zhou, Yingbin Liang:
Reanalysis of Variance Reduced Temporal Difference Learning. ICLR 2020 - [c93]Kaiyi Ji, Zhe Wang, Bowen Weng, Yi Zhou, Wei Zhang, Yingbin Liang:
History-Gradient Aided Batch Size Adaptation for Variance Reduced Algorithms. ICML 2020: 4762-4772 - [c92]Yi Zhou, Zhe Wang, Kaiyi Ji, Yingbin Liang, Vahid Tarokh:
Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization. IJCAI 2020: 1445-1451 - [c91]Bowen Weng, Huaqing Xiong, Yingbin Liang, Wei Zhang:
Analysis of Q-learning with Adaptation and Momentum Restart for Gradient Descent. IJCAI 2020: 3051-3057 - [c90]Bin Dai, Chong Li, Yingbin Liang, Zheng Ma, Shlomo Shamai Shitz:
On the Capacity of Gaussian Multiple-Access Wiretap Channels with Feedback. ISITA 2020: 397-401 - [c89]Bin Dai, Chong Li, Yingbin Liang, Zheng Ma, Shlomo Shamai Shitz:
Feedback Capacity of Gaussian Multiple-Access Wiretap Channel with Degraded Message Sets. ITW 2020: 1-5 - [c88]Kaiyi Ji, Jason D. Lee, Yingbin Liang, H. Vincent Poor:
Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters. NeurIPS 2020 - [c87]Huaqing Xiong, Lin Zhao, Yingbin Liang, Wei Zhang:
Finite-Time Analysis for Double Q-learning. NeurIPS 2020 - [c86]Tengyu Xu, Zhe Wang, Yingbin Liang:
Improving Sample Complexity Bounds for (Natural) Actor-Critic Algorithms. NeurIPS 2020 - [i72]Tengyu Xu, Zhe Wang, Yi Zhou, Yingbin Liang:
Reanalysis of Variance Reduced Temporal Difference Learning. CoRR abs/2001.01898 (2020) - [i71]Huaqing Xiong, Tengyu Xu, Yingbin Liang, Wei Zhang:
Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling. CoRR abs/2002.06286 (2020) - [i70]Ziwei Guan, Kaiyi Ji, Donald J. Bucci Jr., Timothy Y. Hu, Joseph Palombo, Michael Liston, Yingbin Liang:
Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack. CoRR abs/2002.07214 (2020) - [i69]Kaiyi Ji, Junjie Yang, Yingbin Liang:
Multi-Step Model-Agnostic Meta-Learning: Convergence and Improved Algorithms. CoRR abs/2002.07836 (2020) - [i68]Yi Zhou, Zhe Wang, Kaiyi Ji, Yingbin Liang, Vahid Tarokh:
Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization. CoRR abs/2002.11582 (2020) - [i67]Tengyu Xu, Zhe Wang, Yingbin Liang:
Improving Sample Complexity Bounds for Actor-Critic Algorithms. CoRR abs/2004.12956 (2020) - [i66]Tengyu Xu, Zhe Wang, Yingbin Liang:
Non-asymptotic Convergence Analysis of Two Time-scale (Natural) Actor-Critic Algorithms. CoRR abs/2005.03557 (2020) - [i65]Tengyu Xu, Zhe Wang, Yingbin Liang, H. Vincent Poor:
Enhanced First and Zeroth Order Variance Reduced Algorithms for Min-Max Optimization. CoRR abs/2006.09361 (2020) - [i64]Kaiyi Ji, Jason D. Lee, Yingbin Liang, H. Vincent Poor:
Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters. CoRR abs/2006.09486 (2020) - [i63]Ziwei Guan, Tengyu Xu, Yingbin Liang:
When Will Generative Adversarial Imitation Learning Algorithms Attain Global Convergence. CoRR abs/2006.13506 (2020) - [i62]Bowen Weng, Huaqing Xiong, Yingbin Liang, Wei Zhang:
Analysis of Q-learning with Adaptation and Momentum Restart for Gradient Descent. CoRR abs/2007.07422 (2020) - [i61]Bin Dai, Chong Li, Yingbin Liang, Zheng Ma, Shlomo Shamai:
Feedback Capacities of Gaussian Multiple-Access Wiretap Channels. CoRR abs/2007.14555 (2020) - [i60]Bowen Weng, Huaqing Xiong, Lin Zhao, Yingbin Liang, Wei Zhang:
Momentum Q-learning with Finite-Sample Convergence Guarantee. CoRR abs/2007.15418 (2020) - [i59]Zhe Wang, Yingbin Liang, Pengsheng Ji:
Spectral Algorithms for Community Detection in Directed Networks. CoRR abs/2008.03820 (2020) - [i58]Huaqing Xiong, Lin Zhao, Yingbin Liang, Wei Zhang:
Finite-Time Analysis for Double Q-learning. CoRR abs/2009.14257 (2020) - [i57]Kaiyi Ji, Junjie Yang, Yingbin Liang:
Provably Faster Algorithms for Bilevel Optimization and Applications to Meta-Learning. CoRR abs/2010.07962 (2020) - [i56]Tengyu Xu, Yingbin Liang:
Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms. CoRR abs/2011.05053 (2020) - [i55]Tengyu Xu, Yingbin Liang, Guanghui Lan:
A Primal Approach to Constrained Policy Optimization: Global Optimality and Finite-Time Analysis. CoRR abs/2011.05869 (2020)
2010 – 2019
- 2019
- [j55]Yi Zhou
, Yingbin Liang, Lixin Shen:
A simple convergence analysis of Bregman proximal gradient algorithm. Comput. Optim. Appl. 73(3): 903-912 (2019) - [j54]Michael Dikshtein
, Ruchen Duan, Yingbin Liang, Shlomo Shamai (Shitz)
:
MIMO Gaussian State-Dependent Channels with a State-Cognitive Helper. Entropy 21(3): 273 (2019) - [j53]Zhe Wang, Yi Zhou, Yingbin Liang, Guanghui Lan:
A note on inexact gradient and Hessian conditions for cubic regularized Newton's method. Oper. Res. Lett. 47(2): 146-149 (2019) - [j52]Yunhao Sun
, Ruchen Duan, Yingbin Liang, Shlomo Shamai Shitz
:
State-Dependent Interference Channel With Correlated States. IEEE Trans. Inf. Theory 65(7): 4518-4531 (2019) - [j51]Chong Li
, Yingbin Liang, H. Vincent Poor
, Shlomo Shamai Shitz
:
Secrecy Capacity of Colored Gaussian Noise Channels With Feedback. IEEE Trans. Inf. Theory 65(9): 5771-5782 (2019) - [j50]Tiexing Wang
, Qunwei Li
, Donald J. Bucci
, Yingbin Liang, Biao Chen
, Pramod K. Varshney
:
K-Medoids Clustering of Data Sequences With Composite Distributions. IEEE Trans. Signal Process. 67(8): 2093-2106 (2019) - [c85]Zhe Wang, Yi Zhou, Yingbin Liang, Guanghui Lan:
Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization. AISTATS 2019: 2731-2740 - [c84]Jayanth Regatti, Gaurav Tendolkar, Yi Zhou, Abhishek Gupta, Yingbin Liang:
Distributed SGD Generalizes Well Under Asynchrony. Allerton 2019: 863-870 - [c83]Yi Zhou, Junjie Yang, Huishuai Zhang, Yingbin Liang, Vahid Tarokh:
SGD Converges to Global Minimum in Deep Learning via Star-convex Path. ICLR (Poster) 2019 - [c82]Kaiyi Ji, Zhe Wang, Yi Zhou, Yingbin Liang:
Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization. ICML 2019: 3100-3109 - [c81]Bin Dai, Chong Li, Yingbin Liang, Zheng Ma, Shlomo Shamai Shitz:
The Dirty Paper Wiretap Feedback Channel with or without Action on the State. ISIT 2019: 657-661 - [c80]Haoyu Fu, Yuejie Chi
, Yingbin Liang:
Local Geometry of Cross Entropy Loss in Learning One-Hidden-Layer Neural Networks. ISIT 2019: 1972-1976 - [c79]Zhe Wang, Kaiyi Ji, Yi Zhou, Yingbin Liang, Vahid Tarokh:
SpiderBoost and Momentum: Faster Variance Reduction Algorithms. NeurIPS 2019: 2403-2413 - [c78]Shaofeng Zou, Tengyu Xu, Yingbin Liang:
Finite-Sample Analysis for SARSA with Linear Function Approximation. NeurIPS 2019: 8665-8675 - [c77]Tengyu Xu, Shaofeng Zou, Yingbin Liang:
Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples. NeurIPS 2019: 10633-10643 - [c76]Zhe Wang, Yi Zhou, Yingbin Liang, Guanghui Lan:
Cubic Regularization with Momentum for Nonconvex Optimization. UAI 2019: 313-322 - [i54]Yi Zhou, Junjie Yang, Huishuai Zhang, Yingbin Liang, Vahid Tarokh:
SGD Converges to Global Minimum in Deep Learning via Star-convex Path. CoRR abs/1901.00451 (2019) - [i53]Shaofeng Zou, Tengyu Xu, Yingbin Liang:
Finite-Sample Analysis for SARSA and Q-Learning with Linear Function Approximation. CoRR abs/1902.02234 (2019) - [i52]Tengyu Xu, Shaofeng Zou, Yingbin Liang:
Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples. CoRR abs/1909.11907 (2019) - [i51]Jayanth Regatti, Gaurav Tendolkar, Yi Zhou, Abhishek Gupta, Yingbin Liang:
Distributed SGD Generalizes Well Under Asynchrony. CoRR abs/1909.13391 (2019) - [i50]Kaiyi Ji, Zhe Wang, Yi Zhou, Yingbin Liang:
Faster Stochastic Algorithms via History-Gradient Aided Batch Size Adaptation. CoRR abs/1910.09670 (2019) - [i49]Kaiyi Ji, Zhe Wang, Yi Zhou, Yingbin Liang:
Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization. CoRR abs/1910.12166 (2019) - 2018
- [j49]Yi Zhou, Yingbin Liang, Yaoliang Yu, Wei Dai, Eric P. Xing:
Distributed Proximal Gradient Algorithm for Partially Asynchronous Computer Clusters. J. Mach. Learn. Res. 19: 19:1-19:32 (2018) - [j48]Qunwei Li
, Tiexing Wang
, Donald J. Bucci
, Yingbin Liang, Biao Chen
, Pramod K. Varshney
:
Nonparametric Composite Hypothesis Testing in an Asymptotic Regime. IEEE J. Sel. Top. Signal Process. 12(5): 1005-1014 (2018) - [j47]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) - [j46]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) - [j45]Huishuai Zhang
, Yuejie Chi
, Yingbin Liang:
Median-Truncated Nonconvex Approach for Phase Retrieval With Outliers. IEEE Trans. Inf. Theory 64(11): 7287-7310 (2018) - [j44]Wei Yang
, Yingbin Liang
, Shlomo Shamai Shitz
, H. Vincent Poor
:
State-Dependent Gaussian Multiple Access Channels: New Outer Bounds and Capacity Results. IEEE Trans. Inf. Theory 64(12): 7866-7882 (2018) - [j43]Yixian Liu
, Yingbin Liang, Shuguang Cui
:
Data-Driven Nonparametric Existence and Association Problems. IEEE Trans. Signal Process. 66(24): 6377-6389 (2018) - [c75]Tiexing Wang, Donald J. Bucci, Yingbin Liang, Biao Chen, Pramod K. Varshney:
Clustering under composite generative models. CISS 2018: 1-6 - [c74]Tiexing Wang, Donald J. Bucci, Yingbin Liang, Biao Chen, Pramod K. Varshney:
Exponentially Consistent K-Means Clustering Algorithm Based on Kolmogrov-Smirnov Test. ICASSP 2018: 2296-2300 - [c73]Yixian Liu, Yingbin Liang, Shuguang Cui:
Data-Driven Nonparametric Hypothesis Testing. ICASSP 2018: 4234-4238 - [c72]Yi Zhou, Yingbin Liang:
Critical Points of Linear Neural Networks: Analytical Forms and Landscape Properties. ICLR (Poster) 2018 - [c71]Chong Li, Yingbin Liang, H. Vincent Poor
, Shlomo Shamai
:
A Coding Scheme for Colored Gaussian Wiretap Channels with Feedback. ISIT 2018: 131-135 - [c70]Yi Zhou, Zhe Wang, Yingbin Liang:
Convergence of Cubic Regularization for Nonconvex Optimization under KL Property. NeurIPS 2018: 3764-3773 - [c69]Kaiyi Ji, Yingbin Liang:
Minimax Estimation of Neural Net Distance. NeurIPS 2018: 3849-3858 - [i48]Chong Li, Yingbin Liang, H. Vincent Poor, Shlomo Shamai:
Secrecy Capacity of Colored Gaussian Noise Channels with Feedback. CoRR abs/1801.06702 (2018) - [i47]Haoyu Fu, Yuejie Chi, Yingbin Liang:
Local Geometry of One-Hidden-Layer Neural Networks for Logistic Regression. CoRR abs/1802.06463 (2018) - [i46]Yi Zhou, Yingbin Liang, Huishuai Zhang:
Generalization Error Bounds with Probabilistic Guarantee for SGD in Nonconvex Optimization. CoRR abs/1802.06903 (2018) - [i45]Zhe Wang, Yi Zhou, Yingbin Liang, Guanghui Lan:
Sample Complexity of Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization. CoRR abs/1802.07372 (2018) - [i44]Yunhao Sun, Ruchen Duan, Yingbin Liang, Shlomo Shamai:
State-Dependent Interference Channel with Correlated States. CoRR abs/1806.00937 (2018) - [i43]Tengyu Xu, Yi Zhou, Kaiyi Ji, Yingbin Liang:
Convergence of SGD in Learning ReLU Models with Separable Data. CoRR abs/1806.04339 (2018) - [i42]Michael Dikshtein, Ruchen Duan, Yingbin Liang, Shlomo Shamai:
Parallel Gaussian Channels Corrupted by Independent States With a State-Cognitive Helper. CoRR abs/1807.03518 (2018) - [i41]Tiexing Wang, Qunwei Li, Donald J. Bucci, Yingbin Liang, Biao Chen, Pramod K. Varshney:
K-medoids Clustering of Data Sequences with Composite Distributions. CoRR abs/1807.11620 (2018) - [i40]Yi Zhou, Zhe Wang, Yingbin Liang:
Convergence of Cubic Regularization for Nonconvex Optimization under KL Property. CoRR abs/1808.07382 (2018) - [i39]Zhe Wang, Yi Zhou, Yingbin Liang, Guanghui Lan:
A Note on Inexact Condition for Cubic Regularized Newton's Method. CoRR abs/1808.07384 (2018) - [i38]Zhe Wang, Yi Zhou, Yingbin Liang, Guanghui Lan:
Cubic Regularization with Momentum for Nonconvex Optimization. CoRR abs/1810.03763 (2018) - [i37]Zhe Wang, Kaiyi Ji, Yi Zhou, Yingbin Liang, Vahid Tarokh:
SpiderBoost: A Class of Faster Variance-reduced Algorithms for Nonconvex Optimization. CoRR abs/1810.10690 (2018) - [i36]Kaiyi Ji, Yingbin Liang:
Minimax Estimation of Neural Net Distance. CoRR abs/1811.01054 (2018) - [i35]Qunwei Li, Bhavya Kailkhura, Rushil Anirudh, Yi Zhou, Yingbin Liang, Pramod K. Varshney:
MR-GAN: Manifold Regularized Generative Adversarial Networks. CoRR abs/1811.10427 (2018) - 2017
- [j42]Huishuai Zhang, Yingbin Liang, Yuejie Chi:
A Nonconvex Approach for Phase Retrieval: Reshaped Wirtinger Flow and Incremental Algorithms. J. Mach. Learn. Res. 18: 141:1-141:35 (2017) - [j41]Ain Ul Aisha, Lifeng Lai
, Yingbin Liang, Shlomo Shamai Shitz
:
Sum-Rate Capacity of Poisson MIMO Multiple-Access Channels. IEEE Trans. Commun. 65(11): 4765-4776 (2017) - [j40]Huishuai Zhang
, Yingbin Liang
, Lifeng Lai, Shlomo Shamai Shitz
:
Multi-Key Generation Over a Cellular Model With a Helper. IEEE Trans. Inf. Theory 63(6): 3804-3822 (2017) - [j39]Ain Ul Aisha, Lifeng Lai
, Yingbin Liang
, Shlomo Shamai Shitz
:
On the Sum-Rate Capacity of Poisson MISO Multiple Access Channels. IEEE Trans. Inf. Theory 63(10): 6457-6473 (2017) - [j38]Shaofeng Zou, Yingbin Liang, H. Vincent Poor
:
Nonparametric Detection of Geometric Structures Over Networks. IEEE Trans. Signal Process. 65(19): 5034-5046 (2017) - [j37]Shaofeng Zou, Yingbin Liang, H. Vincent Poor
, Xinghua Shi:
Nonparametric Detection of Anomalous Data Streams. IEEE Trans. Signal Process. 65(21): 5785-5797 (2017) - [c68]Shaofeng Zou, Yingbin Liang, Shlomo Shamai
:
Gaussian fading channel with secrecy outside a bounded range. CNS 2017: 545-549 - [c67]Yi Zhou, Yingbin Liang:
Demixing sparse signals via convex optimization. ICASSP 2017: 4202-4206 - [c66]Qunwei Li, Yi Zhou, Yingbin Liang, Pramod K. Varshney:
Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization. ICML 2017: 2111-2119 - [c65]Yunhao Sun, Yingbin Liang, Ruchen Duan, Shlomo Shamai Shitz
:
State-dependent Z-interference channel with correlated states. ISIT 2017: 644-648 - [c64]Wei Yang, Yingbin Liang, Shlomo Shamai Shitz
, H. Vincent Poor
:
Outer bounds for Gaussian multiple access channels with state known at one encoder. ISIT 2017: 869-873 - [c63]Chong Li, Yingbin Liang:
Secrecy capacity of the first-order autoregressive moving average Gaussian channel with feedback. ISIT 2017: 1963-1967 - [i34]Wei Yang, Yingbin Liang, Shlomo Shamai, H. Vincent Poor:
State-Dependent Gaussian Multiple Access Channels: New Outer Bounds and Capacity Results. CoRR abs/1705.01640 (2017) - [i33]Qunwei Li, Yi Zhou, Yingbin Liang, Pramod K. Varshney:
Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization. CoRR abs/1705.04925 (2017) - [i32]Yuanxin Li, Yuejie Chi, Huishuai Zhang, Yingbin Liang:
Nonconvex Low-Rank Matrix Recovery with Arbitrary Outliers via Median-Truncated Gradient Descent. CoRR abs/1709.08114 (2017) - [i31]Yi Zhou, Yingbin Liang:
Characterization of Gradient Dominance and Regularity Conditions for Neural Networks. CoRR abs/1710.06910 (2017) - [i30]Yi Zhou, Yingbin Liang:
Critical Points of Neural Networks: Analytical Forms and Landscape Properties. CoRR abs/1710.11205 (2017) - [i29]Qunwei Li, Tiexing Wang, Donald J. Bucci, Yingbin Liang, Biao Chen, Pramod K. Varshney:
Nonparametric Composite Hypothesis Testing in an Asymptotic Regime. CoRR abs/1712.03296 (2017) - 2016
- [j36]Ruchen Duan, Yingbin Liang, Shlomo Shamai Shitz
:
State-Dependent Gaussian Interference Channels: Can State Be Fully Canceled? IEEE Trans. Inf. Theory 62(4): 1957-1970 (2016) - [j35]Yunhao Sun, Ruchen Duan, Yingbin Liang
, Ashish Khisti, Shlomo Shamai Shitz
:
Capacity Characterization for State-Dependent Gaussian Channel With a Helper. IEEE Trans. Inf. Theory 62(12): 7123-7134 (2016) - [j34]Weiguang Wang, Yingbin Liang, Eric P. Xing, Lixin Shen:
Nonparametric Decentralized Detection and Sparse Sensor Selection Via Weighted Kernel. IEEE Trans. Signal Process. 64(2): 306-321 (2016) - [c62]Weiguang Wang, Yingbin Liang, H. Vincent Poor
:
Nonparametric composite outlier detection. ACSSC 2016: 1256-1260 - [c61]Yi Zhou, Yaoliang Yu, Wei Dai, Yingbin Liang, Eric P. Xing:
On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System. AISTATS 2016: 713-722 - [c60]Yi Zhou, Huishuai Zhang, Yingbin Liang:
On Compressive orthonormal Sensing. Allerton 2016: 299-305 - [c59]Yi Zhou, Huishuai Zhang, Yingbin Liang:
Geometrical properties and accelerated gradient solvers of non-convex phase retrieval. Allerton 2016: 331-335 - [c58]Shaofeng Zou, Yingbin Liang, H. Vincent Poor
:
Nonparametric detection of an anomalous disk over a two-dimensional lattice network. ICASSP 2016: 2394-2398 - [c57]Yuheng Bu
, Shaofeng Zou, Yingbin Liang, Venugopal V. Veeravalli:
Universal outlying sequence detection for continuous observations. ICASSP 2016: 4254-4258 - [c56]Ain Ul Aisha, Lifeng Lai, Yingbin Liang, Shlomo Shamai Shitz
:
On the sum-rate capacity of poisson MISO multiple access channels. ICCS 2016: 1-5 - [c55]Huishuai Zhang, Yuejie Chi, Yingbin Liang:
Provable Non-convex Phase Retrieval with Outliers: Median TruncatedWirtinger Flow. ICML 2016: 1022-1031 - [c54]Ain Ul Aisha, Yingbin Liang, Lifeng Lai, Shlomo Shamai
:
On the sum-rate capacity of non-symmetric Poisson multiple access channel. ISIT 2016: 375-379 - [c53]Yuheng Bu
, Shaofeng Zou, Yingbin Liang, Venugopal V. Veeravalli:
Estimation of KL divergence between large-alphabet distributions. ISIT 2016: 1118-1122 - [c52]Yunhao Sun, Ruchen Duan, Yingbin Liang, Ashish Khisti, Shlomo Shamai
:
Helper-assisted state cancelation for multiple access channels. ISIT 2016: 1496-1500 - [c51]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 - [c50]Huishuai Zhang, Yingbin Liang:
Reshaped Wirtinger Flow for Solving Quadratic System of Equations. NIPS 2016: 2622-2630 - [i28]Huishuai Zhang, Yingbin Liang:
Reshaped Wirtinger Flow for Solving Quadratic Systems of Equations. CoRR abs/1605.07719 (2016) - [i27]Yuheng Bu, Shaofeng Zou, Yingbin Liang, Venugopal V. Veeravalli:
Estimation of KL Divergence: Optimal Minimax Rate. CoRR abs/1607.02653 (2016) - [i26]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
- [j33]Phillip A. Regalia, Ashish Khisti, Yingbin Liang, Stefano Tomasin
:
Secure Communications via Physical-Layer and Information-Theoretic Techniques [Scanning the Issue]. Proc. IEEE 103(10): 1698-1701 (2015) - [j32]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) - [j31]Ain Ul Aisha, Lifeng Lai, Yingbin Liang:
Optimal Power Allocation for Poisson Channels With Time-Varying Background Light. IEEE Trans. Commun. 63(11): 4327-4338 (2015) - [j30]Lifeng Lai, Yingbin Liang, Shlomo Shamai (Shitz)
:
On the Capacity Bounds for Poisson Interference Channels. IEEE Trans. Inf. Theory 61(1): 223-238 (2015) - [j29]Ruchen Duan, Yingbin Liang:
Bounds and Capacity Theorems for Cognitive Interference Channels With State. IEEE Trans. Inf. Theory 61(1): 280-304 (2015) - [j28]Weiguang Wang, Yingbin Liang, Eric P. Xing:
Collective Support Recovery for Multi-Design Multi-Response Linear Regression. IEEE Trans. Inf. Theory 61(1): 513-534 (2015) - [j27]Shaofeng Zou
, Yingbin Liang, Lifeng Lai, Shlomo Shamai
:
An Information Theoretic Approach to Secret Sharing. IEEE Trans. Inf. Theory 61(6): 3121-3136 (2015) - [j26]Ruchen Duan, Yingbin Liang, Ashish Khisti, Shlomo Shamai Shitz
:
State-Dependent Parallel Gaussian Networks With a Common State-Cognitive Helper. IEEE Trans. Inf. Theory 61(12): 6680-6699 (2015) - [c49]Anhong He, Benika Hall, Jia Wen, Yingbin Liang, Xinghua Shi:
Sequential parallel LASSO models for eQTL analysis. BCB 2015: 533-534 - [c48]Ruchen Duan, Yingbin Liang, Shlomo Shamai
:
State-dependent Gaussian Z-interference channel: Capacity results. ISIT 2015: 216-220 - [c47]Huishuai Zhang, Yingbin Liang, Lifeng Lai:
Secret key capacity: Talk or keep silent? ISIT 2015: 291-295 - [c46]Huishuai Zhang, Yingbin Liang, Lifeng Lai, Shlomo Shamai
:
Two-key generation for a cellular model with a helper. ISIT 2015: 715-719 - [c45]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 - [c44]Shaofeng Zou, Yingbin Liang, Lifeng Lai, Shlomo Shamai
:
Degraded broadcast channel: Secrecy outside of a bounded range. ITW 2015: 1-5 - [c43]Huishuai Zhang, Yi Zhou, Yingbin Liang:
Analysis of Robust PCA via Local Incoherence. NIPS 2015: 1819-1827 - [i25]Yuheng Bu, Shaofeng Zou, Yingbin Liang, Venugopal V. Veeravalli:
Universal Outlying sequence detection For Continuous Observations. CoRR abs/1509.07040 (2015) - 2014
- [j25]Yingbin Liang, Lifeng Lai, H. Vincent Poor
, Shlomo Shamai
:
A Broadcast Approach for Fading Wiretap Channels. IEEE Trans. Inf. Theory 60(2): 842-858 (2014) - [j24]Huishuai Zhang, Lifeng Lai, Yingbin Liang, Hua Wang:
The Capacity Region of the Source-Type Model for Secret Key and Private Key Generation. IEEE Trans. Inf. Theory 60(10): 6389-6398 (2014) - [c42]Huishuai Zhang, Yingbin Liang, Lifeng Lai:
Helper-assisted asymmetric two key generation. ACSSC 2014: 65-69 - [c41]Shaofeng Zou, Yingbin Liang, H. Vincent Poor, Xinghua Shi:
Unsupervised nonparametric anomaly detection: A kernel method. Allerton 2014: 836-841 - [c40]Ain Ul Aisha, Lifeng Lai, Yingbin Liang:
On fading poisson channels with varying noise levels. CISS 2014: 1-5 - [c39]Ruchen Duan, Yingbin Liang, Ashish Khisti, Shlomo Shamai
:
State-dependent parallel Gaussian channels with a common helper in high power regime. ISIT 2014: 86-90 - [c38]Shaofeng Zou, Yingbin Liang, Lifeng Lai, Shlomo Shamai
:
Layered secure broadcasting over MIMO channels and application in secret sharing. ISIT 2014: 396-400 - [c37]Huishuai Zhang, Lifeng Lai, Yingbin Liang, Hua Wang:
Secret key-private key generation over three terminals: Capacity region. ISIT 2014: 1141-1145 - [c36]Ruchen Duan, Yingbin Liang, Ashish Khisti, Shlomo Shamai:
Dirty interference cancelation for multiple access channels. ISITA 2014: 463-467 - [c35]Huishuai Zhang, Yingbin Liang, Lifeng Lai:
Key capacity region for a cellular source model. ITW 2014: 321-325 - [c34]Ruchen Duan, Yingbin Liang, Ashish Khisti, Shlomo Shamai
:
Dirty interference cancellation for Gaussian broadcast channels. ITW 2014: 551-555 - [c33]Weiguang Wang, Yingbin Liang, Eric P. Xing, Lixin Shen:
Sparse sensor selection for nonparametric decentralized detection via L1 regularization. MLSP 2014: 1-6 - [c32]Shaofeng Zou, Yingbin Liang, H. Vincent Poor
:
A kernel-based nonparametric test for anomaly detection over line networks. MLSP 2014: 1-6 - [c31]Shaofeng Zou, Yingbin Liang, H. Vincent Poor, Xinghua Shi:
Kernel-based nonparametric anomaly detection. SPAWC 2014: 224-228 - [i24]Huishuai Zhang, Lifeng Lai, Yingbin Liang, Hua Wang:
The Capacity Region of the Source-Type Model for Secret Key and Private Key Generation. CoRR abs/1404.6471 (2014) - [i23]Ruchen Duan, Yingbin Liang, Ashish Khisti, Shlomo Shamai:
Parallel Gaussian Networks with a Common State-Cognitive Helper. CoRR abs/1404.6472 (2014) - [i22]Shaofeng Zou, Yingbin Liang, Lifeng Lai, Shlomo Shamai:
An Information Theoretic Approach to Secret Sharing. CoRR abs/1404.6474 (2014) - [i21]Shaofeng Zou, Yingbin Liang, H. Vincent Poor, Xinghua Shi:
Nonparametric Detection of Anomalous Data via Kernel Mean Embedding. CoRR abs/1405.2294 (2014) - 2013
- [c30]Weiguang Wang, Yingbin Liang, Eric P. Xing:
Block Regularized Lasso for Multivariate Multi-Response Linear Regression. AISTATS 2013: 608-617 - [c29]Ruchen Duan, Yingbin Liang, Shlomo Shamai
:
On the capacity region of Gaussian interference channels with state. ISIT 2013: 1097-1101 - [c28]Shaofeng Zou, Yingbin Liang, Shlomo Shamai
:
Multiple access channel with state uncertainty at transmitters. ISIT 2013: 1466-1470 - [c27]Ruchen Duan, Yingbin Liang, Ashish Khisti, Shlomo Shamai (Shitz)
:
State-dependent Gaussian Z-channel with mismatched side-information and interference. ITW 2013: 1-5 - [c26]Shaofeng Zou, Yingbin Liang, Lifeng Lai, Shlomo Shamai
:
Layered decoding and secrecy over degraded broadcast channels. SPAWC 2013: 679-683 - [i20]Weiguang Wang, Yingbin Liang, Eric P. Xing:
Sharp Threshold for Multivariate Multi-Response Linear Regression via Block Regularized Lasso. CoRR abs/1307.7993 (2013) - 2012
- [j23]Matthieu R. Bloch, Mérouane Debbah, Yingbin Liang, Yasutada Oohama, Andrew Thangaraj:
Special issue on physical-layer security. J. Commun. Networks 14(4): 349-351 (2012) - [j22]Lifeng Lai, Yingbin Liang, Wenliang Du:
Cooperative Key Generation in Wireless Networks. IEEE J. Sel. Areas Commun. 30(8): 1578-1588 (2012) - [j21]Lifeng Lai, Yingbin Liang, H. Vincent Poor
:
A Unified Framework for Key Agreement Over Wireless Fading Channels. IEEE Trans. Inf. Forensics Secur. 7(2): 480-490 (2012) - [c25]Yingbin Liang, Lifeng Lai, H. Vincent Poor, Shlomo Shamai (Shitz)
:
Broadcasting over fading wiretap channels. ISIT 2012: 234-238 - [c24]Jiayao Hu, Yingbin Liang, Eric P. Xing:
Nonparametric decentralized detection based on weighted count kernel. ISIT 2012: 324-328 - [c23]Ruchen Duan, Yingbin Liang:
Gaussian cognitive interference channels with state. ISIT 2012: 1822-1826 - [i19]Ruchen Duan, Yingbin Liang:
Bounds and Capacity Theorems for Cognitive Interference Channels with State. CoRR abs/1207.0016 (2012) - 2011
- [j20]Yingbin Liang, Lifeng Lai, John Halloran:
Distributed Cognitive Radio Network Management via Algorithms in Probabilistic Graphical Models. IEEE J. Sel. Areas Commun. 29(2): 338-348 (2011) - [j19]Yingbin Liang, H. Vincent Poor
, Lei Ying
:
Secure Communications Over Wireless Broadcast Networks: Stability and Utility Maximization. IEEE Trans. Inf. Forensics Secur. 6(3-1): 682-692 (2011) - [j18]Yingbin Liang, Gerhard Kramer
, H. Vincent Poor
:
On the Equivalence of Two Achievable Regions for the Broadcast Channel. IEEE Trans. Inf. Theory 57(1): 95-100 (2011) - [j17]Lalitha Sankar, Yingbin Liang, Narayan B. Mandayam, Harold Vincent Poor
:
Fading Multiple Access Relay Channels: Achievable Rates and Opportunistic Scheduling. IEEE Trans. Inf. Theory 57(4): 1911-1931 (2011) - [j16]Ruoheng Liu, Yingbin Liang, H. Vincent Poor
:
Fading Cognitive Multiple-Access Channels With Confidential Messages. IEEE Trans. Inf. Theory 57(8): 4992-5005 (2011) - [j15]Yingbin Liang, H. Vincent Poor
, Lei Ying
:
Secrecy Throughput of MANETs Under Passive and Active Attacks. IEEE Trans. Inf. Theory 57(10): 6692-6702 (2011) - [c22]Ruchen Duan, Yingbin Liang:
Capacity bounds for a class of cognitive interference channels with state. Allerton 2011: 603-608 - [c21]Lifeng Lai, Yingbin Liang, Wenliang Du:
PHY-based cooperative key generation in wireless networks. Allerton 2011: 662-669 - [c20]Jiayao Hu, Yingbin Liang, Eric P. Xing:
Nonparametric decision making based on tree-structured information aggregation. Allerton 2011: 1853-1860 - [c19]Lifeng Lai, Yingbin Liang, Wenliang Du, Shlomo Shamai
:
Secret sharing via noisy broadcast channels. ISIT 2011: 1955-1959 - 2010
- [j14]Hung D. Ly, Tie Liu, Yingbin Liang:
Multiple-Input Multiple-Output Gaussian Broadcast Channels With Common and Confidential Messages. IEEE Trans. Inf. Theory 56(11): 5477-5487 (2010) - [j13]Hong Wan, Rong-Rong Chen, Yingbin Liang:
Optimality of beamforming for MIMO multiple access channels via virtual representation. IEEE Trans. Signal Process. 58(10): 5458-5463 (2010) - [c18]Lifeng Lai, Yingbin Liang, H. Vincent Poor:
Key agreement over wireless fading channels with an active attacker. Allerton 2010: 1391-1396 - [c17]Lifeng Lai, Yingbin Liang, Shlomo Shamai
:
On the capacity region of the Poisson interference channels. ISIT 2010: 330-334
2000 – 2009
- 2009
- [j12]Yingbin Liang, Gerhard Kramer
, H. Vincent Poor
, Shlomo Shamai (Shitz)
:
Compound Wiretap Channels. EURASIP J. Wirel. Commun. Netw. 2009 (2009) - [j11]Yingbin Liang, H. Vincent Poor
, Shlomo Shamai
:
Information Theoretic Security. Found. Trends Commun. Inf. Theory 5(4-5): 355-580 (2009) - [j10]Yingbin Liang, H. Vincent Poor
, Shlomo Shamai
:
Physical layer security in broadcast networks. Secur. Commun. Networks 2(3): 227-238 (2009) - [j9]Yingbin Liang, Anelia Somekh-Baruch, H. Vincent Poor
, Shlomo Shamai
, Sergio Verdú:
Capacity of Cognitive Interference Channels With and Without Secrecy. IEEE Trans. Inf. Theory 55(2): 604-619 (2009) - [c16]Ruoheng Liu, Yingbin Liang, H. Vincent Poor:
Fading cognitive multiple-access channels with confidential messages. Allerton 2009: 371-377 - [c15]Yingbin Liang, Lifeng Lai, John Halloran:
Distributed algorithm for collaborative detection in cognitive radio networks. Allerton 2009: 394-399 - [c14]Yingbin Liang, H. Vincent Poor
, Lei Ying:
Secrecy throughput of MANETs with malicious nodes. ISIT 2009: 1189-1193 - [c13]Mari Kobayashi, Yingbin Liang, Shlomo Shamai
, Mérouane Debbah:
On the compound MIMO broadcast channels with confidential messages. ISIT 2009: 1283-1287 - [i18]Lalitha Sankar, Yingbin Liang, Narayan B. Mandayam, H. Vincent Poor:
Opportunistic Communications in Fading Multiaccess Relay Channels. CoRR abs/0902.1220 (2009) - [i17]Gerhard Kramer, Yingbin Liang, Shlomo Shamai:
Outer Bounds on the Admissible Source Region for Broadcast Channels with Dependent Sources. CoRR abs/0902.2370 (2009) - [i16]Mari Kobayashi, Yingbin Liang, Shlomo Shamai, Mérouane Debbah:
On the Compound MIMO Broadcast Channels with Confidential Messages. CoRR abs/0906.3200 (2009) - [i15]Hung D. Ly, Tie Liu, Yingbin Liang:
Multiple-Input Multiple-Output Gaussian Broadcast Channels with Common and Confidential Messages. CoRR abs/0907.2599 (2009) - [i14]Ruoheng Liu, Yingbin Liang, H. Vincent Poor:
Fading Cognitive Multiple-Access Channels With Confidential Messages. CoRR abs/0910.4613 (2009) - 2008
- [j8]Yingbin Liang, H. Vincent Poor
:
Multiple-Access Channels With Confidential Messages. IEEE Trans. Inf. Theory 54(3): 976-1002 (2008) - [j7]Yingbin Liang, H. Vincent Poor
, Shlomo Shamai
:
Secure Communication Over Fading Channels. IEEE Trans. Inf. Theory 54(6): 2470-2492 (2008) - [c12]Yingbin Liang:
Session MA3a: Relaying and cooperation I. ACSCC 2008: 67-68 - [c11]Yingbin Liang, Gerhard Kramer
, H. Vincent Poor:
Equivalence of two inner bounds on the capacity region of the broadcast channel. Allerton 2008: 1417-1421 - [c10]Hong Wan, Rong-Rong Chen, Yingbin Liang:
Optimality of beamforming in MIMO multi-access channels via virtual representation. ISIT 2008: 2573-2577 - [c9]Yingbin Liang, Gerhard Kramer
, Shlomo Shamai
:
Capacity outer bounds for broadcast channels. ITW 2008: 2-4 - [c8]Yingbin Liang, Gerhard Kramer
, H. Vincent Poor, Shlomo Shamai
:
Recent results on compound wire-tap channels. PIMRC 2008: 1-5 - [c7]Ruoheng Liu, H. Vincent Poor, Predrag Spasojevic
, Yingbin Liang:
Nested codes for secure transmission. PIMRC 2008: 1-5 - 2007
- [j6]Yingbin Liang, Venugopal V. Veeravalli:
Cooperative Relay Broadcast Channels. IEEE Trans. Inf. Theory 53(3): 900-928 (2007) - [j5]Yingbin Liang, Venugopal V. Veeravalli, H. Vincent Poor:
Resource Allocation for Wireless Fading Relay Channels: Max-Min Solution. IEEE Trans. Inf. Theory 53(10): 3432-3453 (2007) - [j4]Yingbin Liang, Gerhard Kramer
:
Rate Regions for Relay Broadcast Channels. IEEE Trans. Inf. Theory 53(10): 3517-3535 (2007) - [c6]Lalitha Sankar, Yingbin Liang, H. Vincent Poor, Narayan B. Mandayam:
Opportunistic Communications in an Orthogonal Multiaccess Relay Channel. ISIT 2007: 1261-1265 - [c5]Yingbin Liang, H. Vincent Poor, Shlomo Shamai
:
Secrecy Capacity Region of Fading Broadcast Channels. ISIT 2007: 1291-1295 - [c4]Jared Grubb, Sriram Vishwanath, Yingbin Liang, H. Vincent Poor:
Secrecy Capacity of Semi-deterministic Wire-tap Channels. ITW 2007: 1-4 - [i13]Lalitha Sankar, Yingbin Liang, H. Vincent Poor, Narayan B. Mandayam:
Opportunistic Communications in an Orthogonal Multiaccess Relay Channel. CoRR abs/0704.2651 (2007) - [i12]Ruoheng Liu, Yingbin Liang, H. Vincent Poor, Predrag Spasojevic:
Secure Nested Codes for Type II Wiretap Channels. CoRR abs/0706.3752 (2007) - [i11]Yingbin Liang, Venugopal V. Veeravalli, H. Vincent Poor:
Resource Allocation for Wireless Fading Relay Channels: Max-Min Solution. CoRR abs/0707.0969 (2007) - [i10]Yingbin Liang, H. Vincent Poor, Shlomo Shamai:
Secrecy Capacity Region of Fading Broadcast Channels. CoRR abs/0707.1470 (2007) - [i9]Yingbin Liang, H. Vincent Poor:
Secrecy Capacity Region of Binary and Gaussian Multiple Access Channels. CoRR abs/0708.2732 (2007) - [i8]Yingbin Liang, H. Vincent Poor:
Secure Communications over Fading Channels. CoRR abs/0708.2733 (2007) - [i7]Yingbin Liang, Anelia Somekh-Baruch, H. Vincent Poor, Shlomo Shamai, Sergio Verdú:
Cognitive Interference Channels with Confidential Messages. CoRR abs/0710.2018 (2007) - [i6]Yingbin Liang, H. Vincent Poor, Shlomo Shamai:
Information-Theoretic Security in Wireless Networks. CoRR abs/0711.0711 (2007) - [i5]Yingbin Liang, H. Vincent Poor, Shlomo Shamai:
Secure Communication over Fading Channels. CoRR abs/cs/0701024 (2007) - 2006
- [c3]Yingbin Liang, Gerhard Kramer
:
Capacity Theorems for Cooperative Relay Broadcast Channels. CISS 2006: 1719-1724 - [c2]Yingbin Liang, H. Vincent Poor:
Generalized Multiple Access Channels with Confidential Messages. ISIT 2006: 952-956 - [i4]Yingbin Liang, H. Vincent Poor:
Generalized Multiple Access Channels with Confidential Messages. CoRR abs/cs/0605014 (2006) - [i3]Yingbin Liang, Venugopal V. Veeravalli:
Cooperative Relay Broadcast Channels. CoRR abs/cs/0605016 (2006) - [i2]Yingbin Liang, H. Vincent Poor:
The Generalized Multiple Access Channel with Confidential Messages. CoRR abs/cs/0605084 (2006) - [i1]Yingbin Liang, Gerhard Kramer:
Rate Regions for Relay Broadcast Channels. CoRR abs/cs/0606074 (2006) - 2005
- [b1]Yingbin Liang:
Multiuser Communications With Relaying and User Cooperation. University of Illinois Urbana-Champaign, USA, 2005 - [j3]Venugopal V. Veeravalli, Yingbin Liang, Akbar M. Sayeed:
Correlated MIMO wireless channels: capacity, optimal signaling, and asymptotics. IEEE Trans. Inf. Theory 51(6): 2058-2072 (2005) - [j2]Yingbin Liang, Venugopal V. Veeravalli:
Gaussian Orthogonal Relay Channels: Optimal Resource Allocation and Capacity. IEEE Trans. Inf. Theory 51(9): 3284-3289 (2005) - 2004
- [j1]Yingbin Liang, Venugopal V. Veeravalli:
Capacity of noncoherent time-selective Rayleigh-fading channels. IEEE Trans. Inf. Theory 50(12): 3095-3110 (2004) - [c1]Yingbin Liang, Venugopal V. Veeravalli:
The impact of relaying on the capacity of broadcast channels. ISIT 2004: 403
Coauthor Index
aka: Harold Vincent Poor
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