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ORCIDTianyi Chen 0002
Person information
- affiliation: Cornell University, Department of Electrical and Computer Engineering, New York, NY, USA
Other persons with the same name
- Tianyi Chen — disambiguation page
- Tianyi Chen 0001
![[0000-0002-6493-1803]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0002-6493-1803")
— University of Glasgow, James Watt School of Engineering, Glasgow, UK
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2020 – today
- 2026
[j39]Zhaoxian Wu, Quan Xiao, Tayfun Gokmen, Hsinyu Tsai, Kaoutar El Maghraoui, Tianyi Chen:
On the Convergence Theory of Pipeline Gradient-Based Analog In-Memory Training. IEEE J. Sel. Areas Inf. Theory 7: 279-289 (2026)- [i58]Quan Xiao, Jindan Li, Zhaoxian Wu, Tayfun Gokmen, Tianyi Chen:
Dynamic Symmetric Point Tracking: Tackling Non-ideal Reference in Analog In-memory Training. CoRR abs/2602.21321 (2026) - [i57]Haitong Ma, Chenxiao Gao, Tianyi Chen, Na Li, Bo Dai:
SiMPO: Measure Matching for Online Diffusion Reinforcement Learning. CoRR abs/2603.10250 (2026) - [i56]Chenxiao Gao, Edward Chen, Tianyi Chen, Bo Dai:
FlowRL: A Taxonomy and Modular Framework for Reinforcement Learning with Diffusion Policies. CoRR abs/2603.27450 (2026) - 2025
- [j38]Han Shen, Quan Xiao, Tianyi Chen:
On penalty-based bilevel gradient descent method. Math. Program. 214(1): 539-589 (2025) - [c55]Yang Hu, Tianyi Chen, Na Li, Kai Wang, Bo Dai:
Primal-Dual Spectral Representation for Off-policy Evaluation. AISTATS 2025: 3808-3816 - [c54]Haitong Ma, Tianyi Chen, Kai Wang, Na Li, Bo Dai:
Efficient Online Reinforcement Learning for Diffusion Policy. ICML 2025 - [c53]Quan Xiao, Hui Yuan, A. F. M. Saif, Gaowen Liu, Ramana Rao Kompella, Mengdi Wang, Tianyi Chen:
A First-order Generative Bilevel Optimization Framework for Diffusion Models. ICML 2025 - [i55]Haitong Ma, Tianyi Chen, Kai Wang, Na Li, Bo Dai:
Soft Diffusion Actor-Critic: Efficient Online Reinforcement Learning for Diffusion Policy. CoRR abs/2502.00361 (2025) - [i54]Zhaoxian Wu, Quan Xiao, Tayfun Gokmen, Omobayode Fagbohungbe, Tianyi Chen:
Analog In-memory Training on General Non-ideal Resistive Elements: The Impact of Response Functions. CoRR abs/2502.06309 (2025) - [i53]Quan Xiao, Hui Yuan, A. F. M. Saif, Gaowen Liu, Ramana Kompella, Mengdi Wang, Tianyi Chen:
A First-order Generative Bilevel Optimization Framework for Diffusion Models. CoRR abs/2502.08808 (2025) - [i52]Tianyi Chen, Haitong Ma, Na Li, Kai Wang, Bo Dai:
One-Step Flow Policy Mirror Descent. CoRR abs/2507.23675 (2025) - [i51]A. F. M. Saif, Lisha Chen, Xiaodong Cui, Songtao Lu, Brian Kingsbury, Tianyi Chen:
Objective Soups: Multilingual Multi-Task Modeling for Speech Processing. CoRR abs/2508.09228 (2025) - [i50]Xiaodong Cui, A. F. M. Saif, Brian Kingsbury, Tianyi Chen:
Self-Supervised Pre-Training with Equilibrium Constraints. CoRR abs/2508.19990 (2025) - [i49]Jindan Li, Zhaoxian Wu, Gaowen Liu, Tayfun Gokmen, Tianyi Chen:
In-memory Training on Analog Devices with Limited Conductance States via Multi-tile Residual Learning. CoRR abs/2510.02516 (2025) - [i48]Heshan Devaka Fernando, Parikshit Ram, Yi Zhou, Soham Dan, Horst Samulowitz, Nathalie Baracaldo, Tianyi Chen:
Mitigating Modality Imbalance in Multi-modal Learning via Multi-objective Optimization. CoRR abs/2511.06686 (2025) - 2024
- [j37]Lisha Chen, Heshan Devaka Fernando, Yiming Ying, Tianyi Chen:
Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance. J. Mach. Learn. Res. 25: 193:1-193:53 (2024) - [j36]Xinwei Zhang, Wotao Yin, Mingyi Hong, Tianyi Chen:
Hybrid Federated Learning for Feature & Sample Heterogeneity: Algorithms and Implementation. Trans. Mach. Learn. Res. 2024 (2024) - [c52]Momin Abbas, Yi Zhou, Parikshit Ram, Nathalie Baracaldo, Horst Samulowitz, Theodoros Salonidis, Tianyi Chen:
Enhancing In-context Learning via Linear Probe Calibration. AISTATS 2024: 307-315 - [c51]Tong Wu, Anna Scaglione, Daniel B. Arnold, Tianyi Chen:
Transferable Learning of GCN Sampling Graph Data Clusters from Different Power Systems. Allerton 2024: 1-7 - [c50]Momin Abbas, Koushik Kar, Tianyi Chen:
Leveraging Large Language Models for Wireless Symbol Detection via In-Context Learning. GLOBECOM 2024: 5217-5222 - [c49]Heshan Devaka Fernando, Lisha Chen, Songtao Lu, Pin-Yu Chen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, Gaowen Liu, Meng Wang, Tianyi Chen:
Variance Reduction Can Improve Trade-Off in Multi-Objective Learning. ICASSP 2024: 6975-6979 - [c48]Han Shen, Santiago Paternain, Gaowen Liu, Ramana Kompella, Tianyi Chen:
A Method for Bilevel Optimization with Convex Lower-Level Problem. ICASSP 2024: 9426-9430 - [c47]A. F. M. Saif, Xiaodong Cui, Han Shen, Songtao Lu, Brian Kingsbury, Tianyi Chen:
Joint Unsupervised and Supervised Training for Automatic Speech Recognition via Bilevel Optimization. ICASSP 2024: 10931-10935 - [c46]Shuai Zhang, Heshan Devaka Fernando, Miao Liu, Keerthiram Murugesan, Songtao Lu, Pin-Yu Chen, Tianyi Chen, Meng Wang:
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning. ICML 2024: 58897-58934 - [c45]A. F. M. Saif, Lisha Chen, Xiaodong Cui, Songtao Lu, Brian Kingsbury, Tianyi Chen:
M2ASR: Multilingual Multi-task Automatic Speech Recognition via Multi-objective Optimization. INTERSPEECH 2024 - [c44]Lisha Chen, A. F. M. Saif, Yanning Shen, Tianyi Chen:
FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning. NeurIPS 2024 - [c43]Liuyuan Jiang, Quan Xiao, Victor Tenorio, Fernando Real-Rojas, Antonio G. Marques, Tianyi Chen:
A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints. NeurIPS 2024 - [c42]Zhaoxian Wu, Tayfun Gokmen, Malte J. Rasch, Tianyi Chen:
Towards Exact Gradient-based Training on Analog In-memory Computing. NeurIPS 2024 - [i47]A. F. M. Saif, Xiaodong Cui, Han Shen, Songtao Lu, Brian Kingsbury, Tianyi Chen:
Joint Unsupervised and Supervised Training for Automatic Speech Recognition via Bilevel Optimization. CoRR abs/2401.06980 (2024) - [i46]Momin Abbas, Yi Zhou, Parikshit Ram, Nathalie Baracaldo, Horst Samulowitz, Theodoros Salonidis, Tianyi Chen:
Enhancing In-context Learning via Linear Probe Calibration. CoRR abs/2401.12406 (2024) - [i45]Shuai Zhang, Heshan Devaka Fernando, Miao Liu, Keerthiram Murugesan, Songtao Lu, Pin-Yu Chen, Tianyi Chen, Meng Wang:
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning. CoRR abs/2405.15920 (2024) - [i44]Liuyuan Jiang, Quan Xiao, Victor M. Tenorio, Fernando Real-Rojas, Antonio G. Marqués, Tianyi Chen:
A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints. CoRR abs/2406.10148 (2024) - [i43]Zhaoxian Wu, Tayfun Gokmen, Malte J. Rasch, Tianyi Chen:
Towards Exact Gradient-based Training on Analog In-memory Computing. CoRR abs/2406.12774 (2024) - [i42]Zhaoxian Wu, Quan Xiao, Tayfun Gokmen, Hsinyu Tsai, Kaoutar El Maghraoui, Tianyi Chen:
Pipeline Gradient-based Model Training on Analog In-memory Accelerators. CoRR abs/2410.15155 (2024) - [i41]Heshan Devaka Fernando, Han Shen, Parikshit Ram, Yi Zhou, Horst Samulowitz, Nathalie Baracaldo, Tianyi Chen:
Mitigating Forgetting in LLM Supervised Fine-Tuning and Preference Learning. CoRR abs/2410.15483 (2024) - [i40]Yang Hu, Tianyi Chen, Na Li, Kai Wang, Bo Dai:
Primal-Dual Spectral Representation for Off-policy Evaluation. CoRR abs/2410.17538 (2024) - [i39]Lisha Chen, A. F. M. Saif, Yanning Shen, Tianyi Chen:
FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning. CoRR abs/2412.01773 (2024) - [i38]Xiaodong Cui, A. F. M. Saif, Songtao Lu, Lisha Chen, Tianyi Chen, Brian Kingsbury, George Saon:
Bilevel Joint Unsupervised and Supervised Training for Automatic Speech Recognition. CoRR abs/2412.08548 (2024) - 2023
- [j35]Lisha Chen, Sharu Theresa Jose, Ivana Nikoloska, Sangwoo Park, Tianyi Chen, Osvaldo Simeone:
Learning with Limited Samples: Meta-Learning and Applications to Communication Systems. Found. Trends Signal Process. 17(2): 79-208 (2023) - [j34]Han Shen, Kaiqing Zhang, Mingyi Hong, Tianyi Chen:
Towards Understanding Asynchronous Advantage Actor-Critic: Convergence and Linear Speedup. IEEE Trans. Signal Process. 71: 2579-2594 (2023) - [j33]Zhaoxian Wu, Tianyi Chen, Qing Ling:
Byzantine-Resilient Decentralized Stochastic Optimization With Robust Aggregation Rules. IEEE Trans. Signal Process. 71: 3179-3195 (2023) - [j32]Quan Xiao, Qing Ling, Tianyi Chen:
Lazy Queries Can Reduce Variance in Zeroth-Order Optimization. IEEE Trans. Signal Process. 71: 3695-3709 (2023) - [c41]Quan Xiao, Han Shen, Wotao Yin, Tianyi Chen:
Alternating Projected SGD for Equality-constrained Bilevel Optimization. AISTATS 2023: 987-1023 - [c40]Youbang Sun, Heshan Devaka Fernando, Tianyi Chen, Shahin Shahrampour:
On the Stability Analysis of Open Federated Learning Systems. ACC 2023: 867-872 - [c39]Lisha Chen, Momin Abbas, Tianyi Chen:
A Nested Ensemble Method to Bilevel Machine Learning. ICASSP 2023: 1-5 - [c38]Heshan Devaka Fernando, Han Shen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, Tianyi Chen:
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach. ICLR 2023 - [c37]Lisha Chen, Heshan Devaka Fernando, Yiming Ying, Tianyi Chen:
Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance. NeurIPS 2023 - [i37]Lisha Chen, Heshan Devaka Fernando, Yiming Ying, Tianyi Chen:
Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance. CoRR abs/2305.20057 (2023) - 2022
- [j31]Jie Peng, Zhaoxian Wu, Qing Ling, Tianyi Chen:
Byzantine-robust variance-reduced federated learning over distributed non-i.i.d. data. Inf. Sci. 616: 367-391 (2022) - [j30]Jun Sun, Tianyi Chen, Georgios B. Giannakis, Qinmin Yang, Zaiyue Yang:
Lazily Aggregated Quantized Gradient Innovation for Communication-Efficient Federated Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 2031-2044 (2022) - [j29]Tao Sun, Han Shen, Tianyi Chen, Dongsheng Li:
Adaptive Temporal Difference Learning With Linear Function Approximation. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 8812-8824 (2022) - [j28]Tianyi Chen, Kaiqing Zhang, Georgios B. Giannakis, Tamer Basar:
Communication-Efficient Policy Gradient Methods for Distributed Reinforcement Learning. IEEE Trans. Control. Netw. Syst. 9(2): 917-929 (2022) - [j27]Weiyu Li, Zhaoxian Wu, Tianyi Chen, Liping Li, Qing Ling:
Communication-Censored Distributed Stochastic Gradient Descent. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6831-6843 (2022) - [c36]Tianyi Chen, Yuejiao Sun, Quan Xiao, Wotao Yin:
A Single-Timescale Method for Stochastic Bilevel Optimization. AISTATS 2022: 2466-2488 - [c35]Zirui Yan, Quan Xiao, Tianyi Chen, Ali Tajer:
Federated Multi-Armed Bandit Via Uncoordinated Exploration. ICASSP 2022: 5248-5252 - [c34]Siliang Zeng, Tianyi Chen, Alfredo García, Mingyi Hong:
Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees. L4DC 2022: 278-290 - [p1]Xiao Jin, Pin-Yu Chen, Tianyi Chen:
Data Leakage in Federated Learning. Federated Learning 2022: 337-361 - [i36]Zhaoxian Wu, Tianyi Chen, Qing Ling:
Byzantine-Resilient Decentralized Stochastic Optimization with Robust Aggregation Rules. CoRR abs/2206.04568 (2022) - [i35]Quan Xiao, Qing Ling, Tianyi Chen:
Lazy Queries Can Reduce Variance in Zeroth-order Optimization. CoRR abs/2206.07126 (2022) - [i34]Youbang Sun, Heshan Devaka Fernando, Tianyi Chen, Shahin Shahrampour:
On the Stability Analysis of Open Federated Learning Systems. CoRR abs/2209.12307 (2022) - [i33]Lisha Chen, Sharu Theresa Jose, Ivana Nikoloska, Sangwoo Park, Tianyi Chen, Osvaldo Simeone:
Learning with Limited Samples - Meta-Learning and Applications to Communication Systems. CoRR abs/2210.02515 (2022) - [i32]Heshan Devaka Fernando, Han Shen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, Tianyi Chen:
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic Approach. CoRR abs/2210.12624 (2022) - [i31]Quan Xiao, Han Shen, Wotao Yin, Tianyi Chen:
Alternating Implicit Projected SGD and Its Efficient Variants for Equality-constrained Bilevel Optimization. CoRR abs/2211.07096 (2022) - 2021
- [j26]Bochun Wu, Tianyi Chen, Wei Ni, Xin Wang:
Multi-Agent Multi-Armed Bandit Learning for Online Management of Edge-Assisted Computing. IEEE Trans. Commun. 69(12): 8188-8199 (2021) - [j25]Zhaoxian Wu, Han Shen, Tianyi Chen, Qing Ling:
Byzantine-Resilient Decentralized Policy Evaluation With Linear Function Approximation. IEEE Trans. Signal Process. 69: 3839-3853 (2021) - [j24]Tianyi Chen, Yuejiao Sun, Wotao Yin:
Communication-Adaptive Stochastic Gradient Methods for Distributed Learning. IEEE Trans. Signal Process. 69: 4637-4651 (2021) - [j23]Tianyi Chen, Yuejiao Sun, Wotao Yin:
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization. IEEE Trans. Signal Process. 69: 4937-4948 (2021) - [j22]Bochun Wu, Tianyi Chen, Kai Yang, Xin Wang:
Edge-Centric Bandit Learning for Task-Offloading Allocations in Multi-RAT Heterogeneous Networks. IEEE Trans. Veh. Technol. 70(4): 3702-3714 (2021) - [c33]Songtao Lu, Kaiqing Zhang, Tianyi Chen, Tamer Basar, Lior Horesh:
Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning. AAAI 2021: 8767-8775 - [c32]Tianyi Chen, Ziye Guo, Yuejiao Sun, Wotao Yin:
CADA: Communication-Adaptive Distributed Adam. AISTATS 2021: 613-621 - [c31]Yuejiao Sun, Tianyi Chen, Wotao Yin:
An Optimal Stochastic Compositional Optimization Method with Applications to Meta Learning. ICASSP 2021: 3665-3669 - [c30]Zhaoxian Wu, Han Shen, Tianyi Chen, Qing Ling:
Byzantine-Resilient Decentralized TD Learning with Linear Function Approximation. ICASSP 2021: 5040-5044 - [c29]Tianyi Chen, Yuejiao Sun, Wotao Yin:
Closing the Gap: Tighter Analysis of Alternating Stochastic Gradient Methods for Bilevel Problems. NeurIPS 2021: 25294-25307 - [i30]Tianyi Chen, Yuejiao Sun, Wotao Yin:
A Single-Timescale Stochastic Bilevel Optimization Method. CoRR abs/2102.04671 (2021) - [i29]Tianyi Chen, Meng Wang, Siyuan Gong, Yang Zhou, Bin Ran:
Connected and Automated Vehicle Distributed Control for On-ramp Merging Scenario: A Virtual Rotation Approach. CoRR abs/2103.15047 (2021) - [i28]Tianyi Chen, Yuejiao Sun, Wotao Yin:
Tighter Analysis of Alternating Stochastic Gradient Method for Stochastic Nested Problems. CoRR abs/2106.13781 (2021) - [i27]Siliang Zeng, Tianyi Chen, Alfredo García, Mingyi Hong:
Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees. CoRR abs/2110.05597 (2021) - 2020
- [j21]Zhaoxian Wu, Qing Ling, Tianyi Chen, Georgios B. Giannakis:
Federated Variance-Reduced Stochastic Gradient Descent With Robustness to Byzantine Attacks. IEEE Trans. Signal Process. 68: 4583-4596 (2020) - [c28]Bochun Wu, Tianyi Chen, Xin Wang:
A Combinatorial Bandit Approach to UAV-aided Edge Computing. ACSSC 2020: 304-308 - [c27]Zhaoxian Wu, Qing Ling, Tianyi Chen, Georgios B. Giannakis:
Resilient to Byzantine Attacks Finite-Sum Optimization Over Networks. ICASSP 2020: 5910-5914 - [c26]Bochun Wu, Tianyi Chen, Xin Wang:
An MAB Approach for MEC-centric Task-offloading Control in Multi-RAT HetNets. ICC 2020: 1-6 - [i26]Tao Sun, Han Shen, Tianyi Chen, Dongsheng Li:
Adaptive Temporal Difference Learning with Linear Function Approximation. CoRR abs/2002.08537 (2020) - [i25]Tianyi Chen, Yuejiao Sun, Wotao Yin:
LASG: Lazily Aggregated Stochastic Gradients for Communication-Efficient Distributed Learning. CoRR abs/2002.11360 (2020) - [i24]Yanjie Dong, Georgios B. Giannakis, Tianyi Chen, Julian Cheng, Md. Jahangir Hossain, Victor C. M. Leung:
Communication-Efficient Robust Federated Learning Over Heterogeneous Datasets. CoRR abs/2006.09992 (2020) - [i23]Tianyi Chen, Xiao Jin, Yuejiao Sun, Wotao Yin:
VAFL: a Method of Vertical Asynchronous Federated Learning. CoRR abs/2007.06081 (2020) - [i22]Tianyi Chen, Yuejiao Sun, Wotao Yin:
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization. CoRR abs/2008.10847 (2020) - [i21]Xinwei Zhang, Wotao Yin, Mingyi Hong, Tianyi Chen:
Hybrid Federated Learning: Algorithms and Implementation. CoRR abs/2012.12420 (2020) - [i20]Tianyi Chen, Ziye Guo, Yuejiao Sun, Wotao Yin:
CADA: Communication-Adaptive Distributed Adam. CoRR abs/2012.15469 (2020) - [i19]Han Shen, Kaiqing Zhang, Mingyi Hong, Tianyi Chen:
Asynchronous Advantage Actor Critic: Non-asymptotic Analysis and Linear Speedup. CoRR abs/2012.15511 (2020)
2010 – 2019
- 2019
- [j20]Tianyi Chen, Georgios B. Giannakis:
Bandit Convex Optimization for Scalable and Dynamic IoT Management. IEEE Internet Things J. 6(1): 1276-1286 (2019) - [j19]Yanning Shen, Tianyi Chen, Georgios B. Giannakis:
Random Feature-based Online Multi-kernel Learning in Environments with Unknown Dynamics. J. Mach. Learn. Res. 20: 22:1-22:36 (2019) - [j18]Tianyi Chen, Sergio Barbarossa, Xin Wang, Georgios B. Giannakis, Zhi-Li Zhang:
Learning and Management for Internet of Things: Accounting for Adaptivity and Scalability. Proc. IEEE 107(4): 778-796 (2019) - [j17]Xiaojing Chen, Wei Ni, Tianyi Chen, Iain B. Collings, Xin Wang, Ren Ping Liu, Georgios B. Giannakis:
Multi-Timescale Online Optimization of Network Function Virtualization for Service Chaining. IEEE Trans. Mob. Comput. 18(12): 2899-2912 (2019) - [j16]Bingcong Li, Tianyi Chen, Xin Wang, Georgios B. Giannakis:
Real-Time Energy Management in Microgrids With Reduced Battery Capacity Requirements. IEEE Trans. Smart Grid 10(2): 1928-1938 (2019) - [j15]Bingcong Li, Tianyi Chen, Georgios B. Giannakis:
Secure Mobile Edge Computing in IoT via Collaborative Online Learning. IEEE Trans. Signal Process. 67(23): 5922-5935 (2019) - [c25]Liping Li, Wei Xu, Tianyi Chen, Georgios B. Giannakis, Qing Ling:
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets. AAAI 2019: 1544-1551 - [c24]Bingcong Li, Tianyi Chen, Georgios B. Giannakis:
Bandit Online Learning with Unknown Delays. AISTATS 2019: 993-1002 - [c23]Xuechao He, Qing Ling, Tianyi Chen:
Byzantine-Robust Stochastic Gradient Descent for Distributed Low-Rank Matrix Completion. DSW 2019: 322-326 - [c22]Jun Sun, Tianyi Chen, Georgios B. Giannakis, Zaiyue Yang:
Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients. NeurIPS 2019: 3365-3375 - [i18]Weiyu Li, Tianyi Chen, Liping Li, Qing Ling:
Communication-Censored Distributed Stochastic Gradient Descent. CoRR abs/1909.03631 (2019) - [i17]Jun Sun, Tianyi Chen, Georgios B. Giannakis, Zaiyue Yang:
Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients. CoRR abs/1909.07588 (2019) - [i16]Tao Sun, Tianyi Chen, Yuejiao Sun, Qing Liao, Dongsheng Li:
Decentralized Markov Chain Gradient Descent. CoRR abs/1909.10238 (2019) - [i15]Zhaoxian Wu, Qing Ling, Tianyi Chen, Georgios B. Giannakis:
Federated Variance-Reduced Stochastic Gradient Descent with Robustness to Byzantine Attacks. CoRR abs/1912.12716 (2019) - 2018
- [j14]Tianyi Chen, Qing Ling, Yanning Shen, Georgios B. Giannakis:
Heterogeneous Online Learning for "Thing-Adaptive" Fog Computing in IoT. IEEE Internet Things J. 5(6): 4328-4341 (2018) - [j13]Tianyi Chen, Qing Ling, Georgios B. Giannakis:
Learn-and-Adapt Stochastic Dual Gradients for Network Resource Allocation. IEEE Trans. Control. Netw. Syst. 5(4): 1941-1951 (2018) - [j12]Xin Wang, Xiaojing Chen, Tianyi Chen, Longbo Huang, Georgios B. Giannakis:
Two-Scale Stochastic Control for Integrated Multipoint Communication Systems With Renewables. IEEE Trans. Smart Grid 9(3): 1822-1834 (2018) - [c21]Bingcong Li, Tianyi Chen, Xin Wang, Georgios B. Giannakis:
Secure Edge Computing in IoT via Online Learning. ACSSC 2018: 2149-2153 - [c20]Yanning Shen, Tianyi Chen, Georgios B. Giannakis:
Online Ensemble Multi-kernel Learning Adaptive to Non-stationary and Adversarial Environments. AISTATS 2018: 2037-2046 - [c19]Tianyi Chen, Na Li, Georgios B. Giannakis:
Aggregating Flexibility of Heterogeneous Energy Resources in Distribution Networks. ACC 2018: 4604-4609 - [c18]Yanning Shen, Tianyi Chen, Georgios B. Giannakis:
Online Multi-Kernel Learning with Orthogonal Random Features. ICASSP 2018: 6289-6293 - [c17]Tianyi Chen, Georgios B. Giannakis:
Harnessing Bandit Online Learning to Low-Latency Fog Computing. ICASSP 2018: 6418-6422 - [c16]Tianyi Chen, Georgios B. Giannakis, Tao Sun, Wotao Yin:
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning. NeurIPS 2018: 5055-5065 - [c15]Yanning Shen, Tianyi Chen, Georgios B. Giannakis:
Online Learning Adaptive to Dynamic and Adversarial Environments. SPAWC 2018: 1-5 - [i14]Xiaojing Chen, Wei Ni, Tianyi Chen, Iain B. Collings, Xin Wang, Ren Ping Liu, Georgios B. Giannakis:
Multi-Timescale Online Optimization of Network Function Virtualization for Service Chaining. CoRR abs/1804.07051 (2018) - [i13]Bingcong Li, Tianyi Chen, Georgios B. Giannakis:
Secure Mobile Edge Computing in IoT via Collaborative Online Learning. CoRR abs/1805.03591 (2018) - [i12]Tianyi Chen, Georgios B. Giannakis, Tao Sun, Wotao Yin:
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning. CoRR abs/1805.09965 (2018) - [i11]Bingcong Li, Tianyi Chen, Georgios B. Giannakis:
Delayed Bandit Online Learning with Unknown Delays. CoRR abs/1807.03205 (2018) - [i10]Tianyi Chen, Sergio Barbarossa, Xin Wang, Georgios B. Giannakis, Zhi-Li Zhang:
Learning and Management for Internet-of-Things: Accounting for Adaptivity and Scalability. CoRR abs/1810.11613 (2018) - [i9]Liping Li, Wei Xu, Tianyi Chen, Georgios B. Giannakis, Qing Ling:
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets. CoRR abs/1811.03761 (2018) - [i8]Tianyi Chen, Kaiqing Zhang, Georgios B. Giannakis, Tamer Basar:
Communication-Efficient Distributed Reinforcement Learning. CoRR abs/1812.03239 (2018) - 2017
- [j11]Tianyi Chen, Antonio G. Marqués, Georgios B. Giannakis:
DGLB: Distributed Stochastic Geographical Load Balancing over Cloud Networks. IEEE Trans. Parallel Distributed Syst. 28(7): 1866-1880 (2017) - [j10]Tianyi Chen, Aryan Mokhtari, Xin Wang, Alejandro Ribeiro, Georgios B. Giannakis:
Stochastic Averaging for Constrained Optimization With Application to Online Resource Allocation. IEEE Trans. Signal Process. 65(12): 3078-3093 (2017) - [j9]Tianyi Chen, Qing Ling, Georgios B. Giannakis:
An Online Convex Optimization Approach to Proactive Network Resource Allocation. IEEE Trans. Signal Process. 65(24): 6350-6364 (2017) - [j8]Xiaojing Chen, Wei Ni, Tianyi Chen, Iain B. Collings, Xin Wang, Georgios B. Giannakis:
Real-Time Energy Trading and Future Planning for Fifth Generation Wireless Communications. IEEE Wirel. Commun. 24(4): 24-30 (2017) - [c14]Tianyi Chen, Yanning Shen, Qing Ling, Georgios B. Giannakis:
Online learning for "thing-adaptive" Fog Computing in IoT. ACSSC 2017: 664-668 - [c13]Tianyi Chen, Qing Ling, Georgios B. Giannakis:
Online convex optimization for dynamic network resource allocation. EUSIPCO 2017: 136-140 - [c12]Bingcong Li, Tianyi Chen, Xin Wang, Georgios B. Giannakis:
Real-time energy management with improved cost-capacity tradeoff. GlobalSIP 2017: 1045-1049 - [c11]Xiaojing Chen, Wei Ni, Tianyi Chen, Iain B. Collings, Xin Wang, Ren Ping Liu, Georgios B. Giannakis:
Distributed Stochastic Optimization of Network Function Virtualization. GLOBECOM 2017: 1-6 - [c10]Tianyi Chen, Qing Ling, Georgios B. Giannakis:
Learn-and-adapt network resource allocation. SPAWC 2017: 1-5 - [i7]Tianyi Chen, Qing Ling, Georgios B. Giannakis:
An Online Convex Optimization Approach to Dynamic Network Resource Allocation. CoRR abs/1701.03974 (2017) - [i6]Tianyi Chen, Qing Ling, Georgios B. Giannakis:
Learn-and-Adapt Stochastic Dual Gradients for Network Resource Allocation. CoRR abs/1703.01673 (2017) - [i5]Tianyi Chen, Georgios B. Giannakis:
Bandit Convex Optimization for Scalable and Dynamic IoT Management. CoRR abs/1707.09060 (2017) - [i4]Yanning Shen, Tianyi Chen, Georgios B. Giannakis:
Online Ensemble Multi-kernel Learning Adaptive to Non-stationary and Adversarial Environments. CoRR abs/1712.09983 (2017) - 2016
- [j7]Tianyi Chen, Yu Zhang, Xin Wang, Georgios B. Giannakis:
Robust Workload and Energy Management for Sustainable Data Centers. IEEE J. Sel. Areas Commun. 34(3): 651-664 (2016) - [j6]Xin Wang, Yu Zhang, Tianyi Chen, Georgios B. Giannakis:
Dynamic Energy Management for Smart-Grid-Powered Coordinated Multipoint Systems. IEEE J. Sel. Areas Commun. 34(5): 1348-1359 (2016) - [j5]Xin Wang, Tianyi Chen, Xiaojing Chen, Xiaolin Zhou, Georgios B. Giannakis:
Dynamic Resource Allocation for Smart-Grid Powered MIMO Downlink Transmissions. IEEE J. Sel. Areas Commun. 34(12): 3354-3365 (2016) - [j4]Tianyi Chen, Xin Wang, Georgios B. Giannakis:
Cooling-Aware Energy and Workload Management in Data Centers via Stochastic Optimization. IEEE J. Sel. Top. Signal Process. 10(2): 402-415 (2016) - [j3]Zheng Nan, Tianyi Chen, Xin Wang, Wei Ni:
Energy-Efficient Transmission Schedule for Delay-Limited Bursty Data Arrivals Under Nonideal Circuit Power Consumption. IEEE Trans. Veh. Technol. 65(8): 6588-6600 (2016) - [c9]Tianyi Chen, Antonio G. Marqués, Georgios B. Giannakis:
Space-time scheduling for green data center networks. ACSSC 2016: 795-799 - [c8]Tianyi Chen, Aryan Mokhtari, Xin Wang, Alejandro Ribeiro, Georgios B. Giannakis:
A data-driven approach to stochastic network optimization. GlobalSIP 2016: 510-514 - [c7]Xiaojing Chen, Tianyi Chen, Xin Wang, Longbo Huang, Georgios B. Giannakis:
Two-Scale Stochastic Control for Smart-Grid Powered Coordinated Multi-Point Systems. GLOBECOM 2016: 1-6 - [c6]Xiaojing Chen, Tianyi Chen, Xin Wang, Georgios B. Giannakis:
Stochastic online control for smart-grid powered MIMO downlink transmissions. ICASSP 2016: 3451-3455 - [c5]Tianyi Chen, Yu Zhang, Xin Wang, Georgios B. Giannakis:
Robust geographical load balancing for sustainable data centers. ICASSP 2016: 3526-3530 - [i3]Xin Wang, Xiaojing Chen, Tianyi Chen, Longbo Huang, Georgios B. Giannakis:
Two-Scale Stochastic Control for Multipoint Communication Systems with Renewables. CoRR abs/1602.08805 (2016) - [i2]Tianyi Chen, Aryan Mokhtari, Xin Wang, Alejandro Ribeiro, Georgios B. Giannakis:
Stochastic Averaging for Constrained Optimization with Application to Online Resource Allocation. CoRR abs/1610.02143 (2016) - 2015
- [j2]Tianyi Chen, Hangguan Shan, Xin Wang:
Optimal Scheduling for Wireless On-Demand Data Packet Delivery to High-Speed Trains. IEEE Trans. Veh. Technol. 64(9): 4101-4112 (2015) - [j1]Xin Wang, Zheng Nan, Tianyi Chen:
Optimal MIMO Broadcasting for Energy Harvesting Transmitter With non-Ideal Circuit Power Consumption. IEEE Trans. Wirel. Commun. 14(5): 2500-2512 (2015) - [c4]Tianyi Chen, Xin Wang, Georgios B. Giannakis:
Energy and workload management for data centers in renewable-integrated power grid. GlobalSIP 2015: 513-517 - [c3]Xin Wang, Tianyi Chen, Yu Zhang, Georgios B. Giannakis:
Optimal Dynamic Power Management for Green Coordinated Multipoint Systems. GLOBECOM 2015: 1-6 - 2014
- [c2]Zheng Nan, Tianyi Chen, Xin Wang:
Energy-efficient transmission of delay-limited bursty data packets over time-varying channels under non-ideal circuit power. ChinaSIP 2014: 743-747 - [c1]Zheng Nan, Tianyi Chen, Xin Wang:
Optimal MIMO broadcasting over time-varying wireless channels for energy harvesting transmitter with non-ideal circuit power. ICASSP 2014: 7739-7743 - [i1]Zheng Nan, Tianyi Chen, Xin Wang, Wei Ni:
Energy-Efficient Transmission Schedule for Delay-Limited Bursty Data Arrivals under Non-Ideal Circuit Power Consumption. CoRR abs/1403.4597 (2014)
Coauthor Index
[j30] [j28] [j21] [c27] [i24] [j20] [j19] [j18] [j17] [j16] [j15] [c25] [c24] [c22] [i17] [i15] [j14] [j13] [j12] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [j11] [j10] [j9] [j8] [c14] [c13] [c12] [c11] [c10] [i7] [i6] [i5] [i4] [j7] [j6] [j5] [j4] [c9] [c8] [c7] [c6] [c5] [i3] [i2] [c4] [c3]
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