An improved branch and bound algorithm for single machine scheduling with deadlines to minimize total weighted completion time. - Yunpeng Pan (Oper. Res. Lett., 2003)

On the optimal solution of the general min-max sequencing problem. - Yunpeng Pan; Leyuan Shi (CDC, 2004)

A Stochastic On-Line Model for Shipment Date Quoting with On-Time Delivery Guarantees. - Yunpeng Pan; Leyuan Shi (WSC, 2004)

A new optimization approach to the general single machine earliness-tardiness problem. - Yunpeng Pan; Leyuan Shi; Hoksung Yau (CASE, 2005)

Dual constrained single machine sequencing to minimize total weighted completion time. - Yunpeng Pan; Leyuan Shi (IEEE Trans Autom. Sci. Eng., 2005)

An efficient search method for job-shop scheduling problems. - Leyuan Shi; Yunpeng Pan (IEEE Trans Autom. Sci. Eng., 2005)

Nested Partitions Method for the Local Pickup and Delivery Problem. - Liang Pi; Yunpeng Pan; Leyuan Shi (CASE, 2006)

Branch-and-bound algorithms for solving hard instances of the one-machine sequencing problem. - Yunpeng Pan; Leyuan Shi (Eur. J. Oper. Res., 2006)

On the equivalence of the max-min transportation lower bound and the time-indexed lower bound for single-machine scheduling problems. - Yunpeng Pan; Leyuan Shi (Math. Program., 2007)

Two neural network approaches to model predictive control. - Yunpeng Pan; Jun Wang 002 (ACC, 2008)

Nonlinear model predictive control using a recurrent neural network. - Yunpeng Pan; Jun Wang 002 (IJCNN, 2008)

Robust Model Predictive Control Using a Discrete-Time Recurrent Neural Network. - Yunpeng Pan; Jun Wang 002 (ISNN (1), 2008)

New Hybrid Optimization Algorithms for Machine Scheduling Problems. - Yunpeng Pan; Leyuan Shi (IEEE Trans Autom. Sci. Eng., 2008)

Hybrid Nested Partitions and Mathematical Programming Approach and Its Applications. - Liang Pi; Yunpeng Pan; Leyuan Shi (IEEE Trans Autom. Sci. Eng., 2008)

New Solution Approaches to the General Single- Machine Earliness-Tardiness Problem. - Hoksung Yau; Yunpeng Pan; Leyuan Shi (IEEE Trans Autom. Sci. Eng., 2008)

Model predictive control for nonlinear affine systems based on the simplified dual neural network. - Yunpeng Pan; Jun Wang 002 (CCA/ISIC, 2009)

A neurodynamic optimization approach to nonlinear model predictive control. - Yunpeng Pan; Jun Wang 002 (SMC, 2010)

Electronic Nose Based on an Optimized Competition Neural Network. - Hong Men; Haiyan Liu; Yunpeng Pan; Lei Wang; Haiping Zhang (Sensors, 2011)

Model Predictive Control of Unknown Nonlinear Dynamical Systems Based on Recurrent Neural Networks. - Yunpeng Pan; Jun Wang 002 (IEEE Trans. Ind. Electron., 2012)

A combinatorial auctions perspective on min-sum scheduling problems. - Yunpeng Pan (CASE, 2013)

Nonparametric infinite horizon Kullback-Leibler stochastic control. - Yunpeng Pan; Evangelos A. Theodorou (ADPRL, 2014)

Probabilistic Differential Dynamic Programming. - Yunpeng Pan; Evangelos A. Theodorou (NIPS, 2014)

Nonparametric Kullback-Leibler Stochastic Control. - Yunpeng Pan; Evangelos A. Theodorou (CoRR, 2014)

Model-based Path Integral Stochastic Control: A Bayesian Nonparametric Approach. - Yunpeng Pan; Evangelos A. Theodorou; Michail Kontitsis (CoRR, 2014)

Data-driven differential dynamic programming using Gaussian processes. - Yunpeng Pan; Evangelos A. Theodorou (ACC, 2015)

Sample Efficient Path Integral Control under Uncertainty. - Yunpeng Pan; Evangelos A. Theodorou; Michail Kontitsis (NIPS, 2015)

Robust Trajectory Optimization: A Cooperative Stochastic Game Theoretic Approach. - Yunpeng Pan; Evangelos A. Theodorou; Kaivalya Bakshi (Robotics: Science and Systems, 2015)

Sample Efficient Path Integral Control under Uncertainty. - Yunpeng Pan; Evangelos A. Theodorou (CoRR, 2015)

Cross-entropy optimization for neuromodulation. - Harleen K. Brar; Yunpeng Pan; Babak Mahmoudi; Evangelos A. Theodorou (EMBC, 2016)

Learning from Conditional Distributions via Dual Kernel Embeddings. - Bo Dai 001; Niao He; Yunpeng Pan; Byron Boots; Le Song (CoRR, 2016)

Adaptive Probabilistic Trajectory Optimization via Efficient Approximate Inference. - Yunpeng Pan; Xinyan Yan; Evangelos A. Theodorou; Byron Boots (CoRR, 2016)

Learning from Conditional Distributions via Dual Embeddings. - Bo Dai 001; Niao He; Yunpeng Pan; Byron Boots; Le Song (AISTATS, 2017)

Belief space stochastic control under unknown dynamics. - Yunpeng Pan; Kamil Saigol; Evangelos A. Theodorou (ACC, 2017)

A novel serial deep multi-task learning model for large scale biomedical semantic indexing. - Yongping Du; Yunpeng Pan; Junzhong Ji (BIBM, 2017)

Prediction under Uncertainty in Sparse Spectrum Gaussian Processes with Applications to Filtering and Control. - Yunpeng Pan; Xinyan Yan; Evangelos A. Theodorou; Byron Boots (ICML, 2017)

Model predictive PseudoSpectral Optimal Control with semi-parametric dynamics. - Manan Gandhi; Kamil Saigol; Yunpeng Pan; Evangelos A. Theodorou (SSCI, 2017)

Dual relaxations of the time-indexed ILP formulation for min-sum scheduling problems. - Yunpeng Pan; Zhe Liang (Ann. Oper. Res., 2017)

Agile Off-Road Autonomous Driving Using End-to-End Deep Imitation Learning. - Yunpeng Pan; Ching-An Cheng; Kamil Saigol; Keuntaek Lee; Xinyan Yan; Evangelos A. Theodorou; Byron Boots (CoRR, 2017)

Seizure Reduction using Model Predictive Control. - Harleen K. Brar; Ioannis Exarchos; Yunpeng Pan; Evangelos A. Theodorou; Babak Mahmoudi (EMBC, 2018)

Agile Autonomous Driving using End-to-End Deep Imitation Learning. - Yunpeng Pan; Ching-An Cheng; Kamil Saigol; Keuntaek Lee; Xinyan Yan; Evangelos A. Theodorou; Byron Boots (Robotics: Science and Systems, 2018)

Biomedical semantic indexing by deep neural network with multi-task learning. - Yongping Du; Yunpeng Pan; Chencheng Wang; Junzhong Ji (BMC Bioinform., 2018)

Propagating Uncertainty through the tanh Function with Application to Reservoir Computing. - Manan Gandhi; Keuntaek Lee; Yunpeng Pan; Evangelos A. Theodorou (CoRR, 2018)

Efficient Reinforcement Learning via Probabilistic Trajectory Optimization. - Yunpeng Pan; George I. Boutselis; Evangelos A. Theodorou (IEEE Trans. Neural Networks Learn. Syst., 2018)

Learning control via probabilistic trajectory optimization. - Yunpeng Pan (2018)

Numerical Trajectory Optimization for Stochastic Mechanical Systems. - George I. Boutselis; Yunpeng Pan; Evangelos A. Theodorou (SIAM J. Sci. Comput., 2019)

Imitation learning for agile autonomous driving. - Yunpeng Pan; Ching-An Cheng; Kamil Saigol; Keuntaek Lee; Xinyan Yan; Evangelos A. Theodorou; Byron Boots (Int. J. Robotics Res., 2020)