Tianyi Chen
Orcid: 0000-0003-3477-1439Affiliations:
- Cornell University, Department of Electrical and Computer Engineering, New York, NY, USA
According to our database1,
Tianyi Chen authored at least 124 papers
between 2014 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
FlowRL: A Taxonomy and Modular Framework for Reinforcement Learning with Diffusion Policies.
CoRR, March, 2026
CoRR, March, 2026
Dynamic Symmetric Point Tracking: Tackling Non-ideal Reference in Analog In-memory Training.
CoRR, February, 2026
IEEE J. Sel. Areas Inf. Theory, 2026
2025
Mitigating Modality Imbalance in Multi-modal Learning via Multi-objective Optimization.
CoRR, November, 2025
In-memory Training on Analog Devices with Limited Conductance States via Multi-tile Residual Learning.
CoRR, October, 2025
CoRR, August, 2025
Analog In-memory Training on General Non-ideal Resistive Elements: The Impact of Response Functions.
CoRR, February, 2025
Soft Diffusion Actor-Critic: Efficient Online Reinforcement Learning for Diffusion Policy.
CoRR, February, 2025
Proceedings of the Forty-second International Conference on Machine Learning, 2025
Proceedings of the Forty-second International Conference on Machine Learning, 2025
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025
2024
Hybrid Federated Learning for Feature & Sample Heterogeneity: Algorithms and Implementation.
Trans. Mach. Learn. Res., 2024
CoRR, 2024
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
M2ASR: Multilingual Multi-task Automatic Speech Recognition via Multi-objective Optimization.
Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Joint Unsupervised and Supervised Training for Automatic Speech Recognition via Bilevel Optimization.
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Leveraging Large Language Models for Wireless Symbol Detection via In-Context Learning.
Proceedings of the 2024 IEEE Global Communications Conference, 2024
Transferable Learning of GCN Sampling Graph Data Clusters from Different Power Systems.
Proceedings of the 60th Annual Allerton Conference on Communication, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
IEEE Trans. Signal Process., 2023
Byzantine-Resilient Decentralized Stochastic Optimization With Robust Aggregation Rules.
IEEE Trans. Signal Process., 2023
Towards Understanding Asynchronous Advantage Actor-Critic: Convergence and Linear Speedup.
IEEE Trans. Signal Process., 2023
Learning with Limited Samples: Meta-Learning and Applications to Communication Systems.
Found. Trends Signal Process., 2023
Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the American Control Conference, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Communication-Efficient Policy Gradient Methods for Distributed Reinforcement Learning.
IEEE Trans. Control. Netw. Syst., 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Lazily Aggregated Quantized Gradient Innovation for Communication-Efficient Federated Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Byzantine-robust variance-reduced federated learning over distributed non-i.i.d. data.
Inf. Sci., 2022
Alternating Implicit Projected SGD and Its Efficient Variants for Equality-constrained Bilevel Optimization.
CoRR, 2022
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic Approach.
CoRR, 2022
Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees.
Proceedings of the Learning for Dynamics and Control Conference, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Edge-Centric Bandit Learning for Task-Offloading Allocations in Multi-RAT Heterogeneous Networks.
IEEE Trans. Veh. Technol., 2021
Byzantine-Resilient Decentralized Policy Evaluation With Linear Function Approximation.
IEEE Trans. Signal Process., 2021
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization.
IEEE Trans. Signal Process., 2021
IEEE Trans. Signal Process., 2021
Multi-Agent Multi-Armed Bandit Learning for Online Management of Edge-Assisted Computing.
IEEE Trans. Commun., 2021
Tighter Analysis of Alternating Stochastic Gradient Method for Stochastic Nested Problems.
CoRR, 2021
Connected and Automated Vehicle Distributed Control for On-ramp Merging Scenario: A Virtual Rotation Approach.
CoRR, 2021
Closing the Gap: Tighter Analysis of Alternating Stochastic Gradient Methods for Bilevel Problems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
An Optimal Stochastic Compositional Optimization Method with Applications to Meta Learning.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Federated Variance-Reduced Stochastic Gradient Descent With Robustness to Byzantine Attacks.
IEEE Trans. Signal Process., 2020
CoRR, 2020
CoRR, 2020
LASG: Lazily Aggregated Stochastic Gradients for Communication-Efficient Distributed Learning.
CoRR, 2020
Proceedings of the 2020 IEEE International Conference on Communications, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
2019
IEEE Trans. Signal Process., 2019
Real-Time Energy Management in Microgrids With Reduced Battery Capacity Requirements.
IEEE Trans. Smart Grid, 2019
Multi-Timescale Online Optimization of Network Function Virtualization for Service Chaining.
IEEE Trans. Mob. Comput., 2019
Learning and Management for Internet of Things: Accounting for Adaptivity and Scalability.
Proc. IEEE, 2019
Random Feature-based Online Multi-kernel Learning in Environments with Unknown Dynamics.
J. Mach. Learn. Res., 2019
IEEE Internet Things J., 2019
Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Byzantine-Robust Stochastic Gradient Descent for Distributed Low-Rank Matrix Completion.
Proceedings of the IEEE Data Science Workshop, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Two-Scale Stochastic Control for Integrated Multipoint Communication Systems With Renewables.
IEEE Trans. Smart Grid, 2018
IEEE Trans. Control. Netw. Syst., 2018
IEEE Internet Things J., 2018
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 2018 Annual American Control Conference, 2018
Online Ensemble Multi-kernel Learning Adaptive to Non-stationary and Adversarial Environments.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
2017
Real-Time Energy Trading and Future Planning for Fifth Generation Wireless Communications.
IEEE Wirel. Commun., 2017
Stochastic Averaging for Constrained Optimization With Application to Online Resource Allocation.
IEEE Trans. Signal Process., 2017
IEEE Trans. Signal Process., 2017
IEEE Trans. Parallel Distributed Syst., 2017
CoRR, 2017
Proceedings of the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2017
Proceedings of the 2017 IEEE Global Communications Conference, 2017
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017
Proceedings of the 25th European Signal Processing Conference, 2017
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
2016
Energy-Efficient Transmission Schedule for Delay-Limited Bursty Data Arrivals Under Nonideal Circuit Power Consumption.
IEEE Trans. Veh. Technol., 2016
Cooling-Aware Energy and Workload Management in Data Centers via Stochastic Optimization.
IEEE J. Sel. Top. Signal Process., 2016
IEEE J. Sel. Areas Commun., 2016
IEEE J. Sel. Areas Commun., 2016
IEEE J. Sel. Areas Commun., 2016
CoRR, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 2016 IEEE Global Communications Conference, 2016
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016
2015
Optimal MIMO Broadcasting for Energy Harvesting Transmitter With non-Ideal Circuit Power Consumption.
IEEE Trans. Wirel. Commun., 2015
IEEE Trans. Veh. Technol., 2015
Proceedings of the 2015 IEEE Global Communications Conference, 2015
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015
2014
Energy-Efficient Transmission Schedule for Delay-Limited Bursty Data Arrivals under Non-Ideal Circuit Power Consumption.
CoRR, 2014
Optimal MIMO broadcasting over time-varying wireless channels for energy harvesting transmitter with non-ideal circuit power.
Proceedings of the IEEE International Conference on Acoustics, 2014
Energy-efficient transmission of delay-limited bursty data packets over time-varying channels under non-ideal circuit power.
Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014