Ye Pu

65 papers A* 1C 5Misc 1Journal 39Unranked 19
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Framework for Adaptive Stabilisation of Nonlinear Stochastic Systems.
CoRR
Seth Siriya, Jingge Zhu, Dragan Nesic, Ye Pu
2025 J jnl
Convergence Analysis of EXTRA in Non-Convex Distributed Optimization.
IEEE Control. Syst. Lett.
Lei Qin, Ye Pu
2025 J jnl
DUViN: Diffusion-Based Underwater Visual Navigation via Knowledge-Transferred Depth Features.
CoRR
Jinghe Yang, Minh-Quan Le, Mingming Gong, Ye Pu
2025 J jnl
Explainable AI-assisted low-latency haptic feedback prediction for human-to-machine applications over passive optical networks.
J. Opt. Commun. Netw.
Yuxiao Wang, Sourav Mondal, Ye Pu, Elaine Wong
2025 J jnl
Knowledge Distillation for Underwater Feature Extraction and Matching via GAN-Synthesized Images.
IEEE Robotics Autom. Lett.
Jinghe Yang, Mingming Gong, Ye Pu
2025 J jnl
Knowledge Distillation for Underwater Feature Extraction and Matching via GAN-synthesized Images.
CoRR
Jinghe Yang, Mingming Gong, Ye Pu
2025 J jnl
Koopman-based predictive tracking control.
Eng. Appl. Artif. Intell.
Ye Wang, Yujia Yang, Ye Pu, Chris Manzie
2025 J jnl
Real-Time Distributed Model Predictive Control With Limited Communication Data Rates.
IEEE Trans. Autom. Control.
Yujia Yang, Ye Wang, Chris Manzie, Ye Pu
2025 — conf
Supporting Human-to-Machine Applications in Next-Gen Optical Access Networks through Explainable AI.
OFC
Yuxiao Wang, Sourav Mondal, Ye Pu, Elaine Wong
2025 J jnl
Toward Fast and Safety-Guaranteed Trajectory Planning and Tracking for Time-Varying Systems.
IEEE Trans. Autom. Control.
Seth Siriya, Mo Chen, Ye Pu
2025 — conf
Two-timescale EXTRA for Distributed Smooth Non-convex Optimization.
CDC
Zeyu Peng, Farhad Farokhi, Ye Pu
2024 J jnl
A Control Barrier Function Composition Approach for Multi-Agent Systems in Marine Applications.
CoRR
Yujia Yang, Chris Manzie, Ye Pu
2024 J jnl
A Geometry-Based Distributed Connectivity Maintenance Algorithm for Discrete-time Multi-Agent Systems with Visual Sensing Constraints.
Unmanned Syst.
Xiaoli Li, Jinyun Fu, Mingliang Liu, Yangmengfei Xu, Ying Tan, Yangbin Xin, Ye Pu, Denny Oetomo
2024 J jnl
Non-Asymptotic Bounds for Closed-Loop Identification of Unstable Nonlinear Stochastic Systems.
CoRR
Seth Siriya, Jingge Zhu, Dragan Nesic, Ye Pu
2024 J jnl
On Active Disturbance Rejection Control for Unmanned Tracked Ground Vehicles with Nonsmooth Disturbances.
Unmanned Syst.
Mingliang Liu, Yangmengfei Xu, Xuteng Lin, Ying Tan, Ye Pu, Wen Li, Denny Oetomo
2024 — conf
Physics-Informed Knowledge Transfer for Underwater Monocular Depth Estimation.
ECCV (71)
Jinghe Yang, Mingming Gong, Ye Pu
2024 J jnl
Towards Fast and Safety-Guaranteed Trajectory Planning and Tracking for Time-Varying Systems.
CoRR
Seth Siriya, Mo Chen, Ye Pu
2023 A* conf
Knowledge Distillation for Feature Extraction in Underwater VSLAM.
ICRA
Jinghe Yang, Mingming Gong, Girish Nair, Jung Hoon Lee, Jason Monty, Ye Pu
2023 J jnl
Knowledge Distillation for Feature Extraction in Underwater VSLAM.
CoRR
Jinghe Yang, Mingming Gong, Girish Nair, Jung Hoon Lee, Jason Monty, Ye Pu
2023 J jnl
Learning-Based Adaptive Control for Stochastic Linear Systems With Input Constraints.
IEEE Control. Syst. Lett.
Seth Siriya, Jingge Zhu, Dragan Nesic, Ye Pu
2023 — conf
Second-Order Properties of Noisy Distributed Gradient Descent.
CDC
Lei Qin, Michael Cantoni, Ye Pu
2023 — conf
Stability Bounds for Learning-Based Adaptive Control of Discrete-Time Multi-Dimensional Stochastic Linear Systems with Input Constraints.
CDC
Seth Siriya, Jingge Zhu, Dragan Nesic, Ye Pu
2023 J jnl
Stability Bounds for Learning-Based Adaptive Control of Discrete-Time Multi-Dimensional Stochastic Linear Systems with Input Constraints.
CoRR
Seth Siriya, Jingge Zhu, Dragan Nesic, Ye Pu
2023 J jnl
Sub-Optimal MPC With Dynamic Constraint Tightening.
IEEE Control. Syst. Lett.
Yujia Yang, Ye Wang, Chris Manzie, Ye Pu
2023 J jnl
Sub-Optimal Moving Horizon Estimation in Feedback Control of Linear Constrained Systems.
CoRR
Yujia Yang, Chris Manzie, Ye Pu
2023 J jnl
Sub-Optimal Moving Horizon Estimation in Feedback Control of Linear Constrained Systems.
IEEE Control. Syst. Lett.
Yujia Yang, Chris Manzie, Ye Pu
2023 Misc conf
Task-Oriented Koopman-Based Control with Contrastive Encoder.
CoRL
Xubo Lyu, Hanyang Hu, Seth Siriya, Ye Pu, Mo Chen
2023 J jnl
Task-Oriented Koopman-Based Control with Contrastive Encoder.
CoRR
Xubo Lyu, Hanyang Hu, Seth Siriya, Ye Pu, Mo Chen
2022 J jnl
Data-driven Predictive Tracking Control based on Koopman Operators.
CoRR
Ye Wang, Yujia Yang, Ye Pu, Chris Manzie
2022 J jnl
Learning-Based Adaptive Control for Stochastic Linear Systems with Input Constraints.
CoRR
Seth Siriya, Jingge Zhu, Dragan Nesic, Ye Pu
2022 J jnl
Real-Time Distributed Model Predictive Control with Limited Communication Data Rates.
CoRR
Yujia Yang, Ye Wang, Chris Manzie, Ye Pu
2022 — conf
Robust Tracking Model Predictive Control with Koopman Operators.
CCTA
Ye Wang, Yujia Yang, Ye Pu, Chris Manzie
2022 J jnl
Safety-guaranteed trajectory planning and control based on GP estimation for unmanned surface vessels.
CoRR
Shuhao Zhang, Yujia Yang, Seth Siriya, Ye Pu
2022 — conf
Trajectory planning for multiple autonomous underwater vehicles with safety guarantees.
ANZCC
Shuhao Zhang, Yujia Yang, Seth Siriya, Ye Pu
2021 J jnl
A Distributed Luenberger Observer for Linear State Feedback Systems With Quantized and Rate-Limited Communications.
IEEE Trans. Autom. Control.
Francisco F. C. Rego, Ye Pu, Andrea Alessandretti, A. Pedro Aguiar, António M. Pascoal, Colin N. Jones
2021 J jnl
FaSTrack: A Modular Framework for Real-Time Motion Planning and Guaranteed Safe Tracking.
IEEE Trans. Autom. Control.
Mo Chen, Sylvia L. Herbert, Haimin Hu, Ye Pu, Jaime Fernández Fisac, Somil Bansal, SooJean Han, Claire J. Tomlin
2021 J jnl
FaSTrack: a Modular Framework for Real-Time Motion Planning and Guaranteed Safe Tracking.
CoRR
Mo Chen, Sylvia L. Herbert, Haimin Hu, Ye Pu, Jaime F. Fisac, Somil Bansal, SooJean Han, Claire J. Tomlin
2021 C conf
Path Following by Formations of Agents with Collision Avoidance Guarantees using Distributed Model Predictive Control.
ACC
Ye Wang, Yujia Yang, Ye Pu, Chris Manzie
2021 C conf
Real-time Distributed MPC for Multiple Underwater Vehicles with Limited Communication Data-rates.
ACC
Yujia Yang, Ye Wang, Chris Manzie, Ye Pu
2020 — conf
Differential Privacy for Distributed Consensus with Partial Observations.
ICCA
Ye Pu
2020 — conf
Local Differential Privacy for Multi-Agent Distributed Optimal Power Flow.
ISGT-Europe
Roel Dobbe, Ye Pu, Jingge Zhu, Kannan Ramchandran, Claire J. Tomlin
2020 J jnl
MBB: Model-Based Baseline for Efficient Reinforcement Learning.
CoRR
Xubo Lyu, Site Li, Seth Siriya, Ye Pu, Mo Chen
2020 J jnl
Real-time Distributed MPC for Multiple Underwater Vehicles with Limited Communication Data-rates.
CoRR
Yujia Yang, Ye Wang, Chris Manzie, Ye Pu
2020 — conf
Safety-Guaranteed Real-Time Trajectory Planning for Underwater Vehicles in Plane-Progressive Waves.
CDC
Seth Siriya, Minh Bui, Arrvindh Shriraman, Mo Chen, Ye Pu
2020 J jnl
Trajectory planning for multiple autonomous underwater vehicles with safety guarantees.
CoRR
Shuhao Zhang, Yujia Yang, Seth Siriya, Ye Pu
2019 J jnl
SVR-AMA: An Asynchronous Alternating Minimization Algorithm With Variance Reduction for Model Predictive Control Applications.
IEEE Trans. Autom. Control.
Laura Ferranti, Ye Pu, Colin N. Jones, Tamás Keviczky
2018 C conf
Coded Control over Lossy Networks.
ACC
Ye Pu, Jingge Zhu, Karl Henrik Johansson, Kannan Ramchandran, Claire J. Tomlin
2018 J jnl
Customized Local Differential Privacy for Multi-Agent Distributed Optimization.
CoRR
Roel Dobbe, Ye Pu, Jingge Zhu, Kannan Ramchandran, Claire J. Tomlin
2018 — conf
Plug and Play Distributed Model Predictive Control for Heavy Duty Vehicle Platooning and Interaction with Passenger Vehicles.
CDC
Haimin Hu, Ye Pu, Mo Chen, Claire J. Tomlin
2017 J jnl
A Sequential Approximation Framework for Coded Distributed Optimization.
CoRR
Jingge Zhu, Ye Pu, Vipul Gupta, Claire J. Tomlin, Kannan Ramchandran
2017 — conf
A sequential approximation framework for coded distributed optimization.
Allerton
Jingge Zhu, Ye Pu, Vipul Gupta, Claire J. Tomlin, Kannan Ramchandran
2017 J jnl
Complexity Certification of the Fast Alternating Minimization Algorithm for Linear MPC.
IEEE Trans. Autom. Control.
Ye Pu, Melanie Nicole Zeilinger, Colin N. Jones
2017 J jnl
Quantization Design for Distributed Optimization.
IEEE Trans. Autom. Control.
Ye Pu, Melanie Nicole Zeilinger, Colin N. Jones
2016 — conf
A Scalable, Parallel Module for Overlapping Grids and Its Applications.
BigDataSecurity/HPSC/IDS
Hong Guo, Aiqing Zhang, Zeyao Mo, Ye Pu
2016 — conf
Asynchronous splitting design for Model Predictive Control.
CDC
Laura Ferranti, Ye Pu, Colin N. Jones, Tamás Keviczky
2016 C conf
Design of a distributed quantized luenberger filter for bounded noise.
ACC
Francisco F. C. Rego, Ye Pu, Andrea Alessandretti, A. Pedro Aguiar, António M. Pascoal, Colin N. Jones
2016 J jnl
Operator Splitting Methods in Control.
Found. Trends Syst. Control.
Giorgos Stathopoulos, Harsh Shukla, Alexander Szucs, Ye Pu, Colin N. Jones
2015 — conf
A consensus algorithm for networks with process noise and quantization error.
Allerton
Francisco F. C. Rego, Ye Pu, Andrea Alessandretti, A. Pedro Aguiar, Colin N. Jones
2015 J jnl
Quantization Design for Distributed Optimization.
CoRR
Ye Pu, Melanie Nicole Zeilinger, Colin N. Jones
2015 — conf
Quantization design for distributed optimization with time-varying parameters.
CDC
Ye Pu, Melanie Nicole Zeilinger, Colin N. Jones
2015 C conf
Quantization design for unconstrained distributed optimization.
ACC
Ye Pu, Melanie Nicole Zeilinger, Colin N. Jones
2014 — conf
Inexact fast alternating minimization algorithm for distributed model predictive control.
CDC
Ye Pu, Melanie Nicole Zeilinger, Colin N. Jones
2014 — conf
Splitting methods in control.
ECC
Giorgos Stathopoulos, Alexander Szucs, Ye Pu, Colin N. Jones
2013 J jnl
Distributed Average Consensus With Quantization Refinement.
IEEE Trans. Signal Process.
Dorina Thanou, Effrosini Kokiopoulou, Ye Pu, Pascal Frossard
2013 — conf
Plug and play distributed model predictive control based on distributed invariance and optimization.
CDC
Melanie Nicole Zeilinger, Ye Pu, Stefano Riverso, Giancarlo Ferrari-Trecate, Colin N. Jones