Mengdi Wang
Orcid: 0000-0002-2101-9507
According to our database1,
Mengdi Wang
authored at least 215 papers
between 2011 and 2024.
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Bibliography
2024
IEEE Trans. Mob. Comput., May, 2024
Boosting the Convergence of Reinforcement Learning-Based Auto-Pruning Using Historical Data.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2024
Compressive stress gradients direct mechanoregulation of anisotropic growth in the zebrafish jaw joint.
PLoS Comput. Biol., February, 2024
Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory.
CoRR, 2024
Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework.
CoRR, 2024
Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian Mixture Models.
CoRR, 2024
Double Duality: Variational Primal-Dual Policy Optimization for Constrained Reinforcement Learning.
CoRR, 2024
MaxMin-RLHF: Towards Equitable Alignment of Large Language Models with Diverse Human Preferences.
CoRR, 2024
Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications.
CoRR, 2024
Embedding Large Language Models into Extended Reality: Opportunities and Challenges for Inclusion, Engagement, and Privacy.
CoRR, 2024
CoRR, 2024
Optimization of Emergency Supply and Distribution of Fresh Agricultural Products Under Public Health Emergencies.
IEEE Access, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Primal-Dual First-Order Methods for Affinely Constrained Multi-block Saddle Point Problems.
SIAM J. Optim., June, 2023
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023
Distributed privacy-preserving nested compressed sensing for multiclass data collection with identity authentication.
Signal Process., 2023
Learning Good State and Action Representations for Markov Decision Process via Tensor Decomposition.
J. Mach. Learn. Res., 2023
CoRR, 2023
Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation.
CoRR, 2023
Sample Complexity of Preference-Based Nonparametric Off-Policy Evaluation with Deep Networks.
CoRR, 2023
Sample Complexity of Neural Policy Mirror Descent for Policy Optimization on Low-Dimensional Manifolds.
CoRR, 2023
Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources.
CoRR, 2023
Actions Speak What You Want: Provably Sample-Efficient Reinforcement Learning of the Quantal Stackelberg Equilibrium from Strategic Feedbacks.
CoRR, 2023
Provable Benefits of Policy Learning from Human Preferences in Contextual Bandit Problems.
CoRR, 2023
CoRR, 2023
Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Eye-tracked Virtual Reality: A Comprehensive Survey on Methods and Privacy Challenges.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Efficient RL with Impaired Observability: Learning to Act with Delayed and Missing State Observations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories.
Proceedings of the International Conference on Machine Learning, 2023
Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP.
Proceedings of the International Conference on Machine Learning, 2023
Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data.
Proceedings of the International Conference on Machine Learning, 2023
STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Sample Complexity of Nonparametric Off-Policy Evaluation on Low-Dimensional Manifolds using Deep Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Intelligent Robotics and Applications - 16th International Conference, 2023
Hierarchical Privacy-Preserving and Communication-Efficient Compression via Compressed Sensing.
Proceedings of the Data Compression Conference, 2023
Layer-Puzzle: Allocating and Scheduling Multi-task on Multi-core NPUs by Using Layer Heterogeneity.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023
2022
ACM Trans. Graph., 2022
IEEE Trans. Instrum. Meas., 2022
An Improved Convolutional Capsule Network for Compound Fault Diagnosis of RV Reducers.
Sensors, 2022
Energy system digitization in the era of AI: A three-layered approach toward carbon neutrality.
Patterns, 2022
CoRR, 2022
Energy System Digitization in the Era of AI: A Three-Layered Approach towards Carbon Neutrality.
CoRR, 2022
Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization.
CoRR, 2022
CoRR, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory.
Proceedings of the International Conference on Machine Learning, 2022
Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning approach.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the 56th Annual Conference on Information Sciences and Systems, 2022
Multi-Agent Reinforcement Learning with General Utilities via Decentralized Shadow Reward Actor-Critic.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IEEE J. Sel. Areas Inf. Theory, 2021
IEEE Internet Things J., 2021
Low-Cost and Confidentiality-Preserving Multi-Image Compressed Acquisition and Separate Reconstruction for Internet of Multimedia Things.
IEEE Internet Things J., 2021
Boosting the Convergence of Reinforcement Learning-based Auto-pruning Using Historical Data.
CoRR, 2021
On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control.
CoRR, 2021
You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Nature Gradient.
CoRR, 2021
IEEE Access, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the IEEE International Symposium on Information Theory, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Low Complexity Secure P-Tensor Product Compressed Sensing Reconstruction Outsourcing and Identity Authentication in Cloud.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the GLSVLSI '21: Great Lakes Symposium on VLSI 2021, 2021
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Privacy-Preserving Compressed Sensing for Image Simultaneous Compression-Encryption Applications.
Proceedings of the 31st Data Compression Conference, 2021
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Beyond Cumulative Returns via Reinforcement Learning over State-Action Occupancy Measures.
Proceedings of the 2021 American Control Conference, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
A Novel High-Capacity Data Hiding in Encrypted Images Based on Compressive Sensing Progressive Recovery.
IEEE Signal Process. Lett., 2020
SIAM J. Matrix Anal. Appl., 2020
A Single Timescale Stochastic Approximation Method for Nested Stochastic Optimization.
SIAM J. Optim., 2020
Randomized Linear Programming Solves the Markov Decision Problem in Nearly Linear (Sometimes Sublinear) Time.
Math. Oper. Res., 2020
Low-cost and high-efficiency privacy-protection scheme for distributed compressive video sensing in wireless multimedia sensor networks.
J. Netw. Comput. Appl., 2020
Bridging Exploration and General Function Approximation in Reinforcement Learning: Provably Efficient Kernel and Neural Value Iterations.
CoRR, 2020
Variational Policy Gradient Method for Reinforcement Learning with General Utilities.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Provably Efficient Reinforcement Learning with Kernel and Neural Function Approximations.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Middleware '20: 21st International Middleware Conference, 2020
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020
A Duality Approach for Regret Minimization in Average-Award Ergodic Markov Decision Processes.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020
A History-Based Auto-Tuning Framework for Fast and High-Performance DNN Design on GPU.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020
Proceedings of the 2020 American Control Conference, 2020
Solving Discounted Stochastic Two-Player Games with Near-Optimal Time and Sample Complexity.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
SIAM J. Optim., 2019
Blessing of massive scale: spatial graphical model estimation with a total cardinality constraint approach.
Math. Program., 2019
Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python.
J. Mach. Learn. Res., 2019
J. Mach. Learn. Res., 2019
Privacy-Aware Controllable Compressed Data Publishing Against Sparse Estimation Attack in IoT.
IEEE Internet Things J., 2019
Unsupervised Common Question Generation from Multiple Documents using Reinforced Contrastive Coordinator.
CoRR, 2019
RL4health: Crowdsourcing Reinforcement Learning for Knee Replacement Pathway Optimization.
CoRR, 2019
CoRR, 2019
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
Learning low-dimensional state embeddings and metastable clusters from time series data.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the IEEE International Symposium on Information Theory, 2019
Proceedings of the IEEE International Symposium on Workload Characterization, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
A Novel Privacy-Preserving Data Gathering Scheme in WSN Based on Compressive Sensing and Embedding.
Proceedings of the 2019 IEEE International Conference on Communications, 2019
Proceedings of the 57th Annual Allerton Conference on Communication, 2019
2018
Controllable high-capacity separable data hiding in encrypted images by compressive sensing and data pretreatment.
Multim. Tools Appl., 2018
Math. Program., 2018
KSII Trans. Internet Inf. Syst., 2018
CoRR, 2018
Diffusion Approximations for Online Principal Component Estimation and Global Convergence.
CoRR, 2018
CoRR, 2018
Variance Reduced Value Iteration and Faster Algorithms for Solving Markov Decision Processes.
Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms, 2018
Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 26th International Conference on Geoinformatics, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
SIAM J. Optim., 2017
Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions.
Math. Program., 2017
Feature Extraction for Hyperspectral Images Using Low-Rank Representation With Neighborhood Preserving Regularization.
IEEE Geosci. Remote. Sens. Lett., 2017
基于边缘检测和特征融合的自然场景文本定位 (Text Localization Based on Edge Detection and Features Fusion in Natural Scene).
计算机科学, 2017
Abnormal Event Detection in Wireless Sensor Networks Based on Multiattribute Correlation.
J. Electr. Comput. Eng., 2017
Deep Primal-Dual Reinforcement Learning: Accelerating Actor-Critic using Bellman Duality.
CoRR, 2017
Primal-Dual π Learning: Sample Complexity and Sublinear Run Time for Ergodic Markov Decision Problems.
CoRR, 2017
Randomized Linear Programming Solves the Discounted Markov Decision Problem In Nearly-Linear Running Time.
CoRR, 2017
CoRR, 2017
The Signals and Noise: Actionable Information in Improvised Social Media Channels During a Disaster.
Proceedings of the 2017 ACM on Web Science Conference, 2017
Comparison of Different Centrality Measures to Find Influential Nodes in Complex Networks.
Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2017
Diffusion Approximations for Online Principal Component Estimation and Global Convergence.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
LRR-based hyperspectral image restoration by exploiting the union structure of spectral space and with robust dictionary estimation.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
Unsupervised feature extraction for hyperspectral images using combined low rank representation and locally linear embedding.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016
SIAM J. Optim., 2016
计算机科学, 2016
CoRR, 2016
Proceedings of the Winter Simulation Conference, 2016
Proceedings of the Social, Cultural, and Behavioral Modeling, 9th International Conference, 2016
Proceedings of the Social, Cultural, and Behavioral Modeling, 9th International Conference, 2016
Proceedings of the Geo-Spatial Knowledge and Intelligence, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
2015
Math. Program., 2015
IEEE J. Sel. Top. Signal Process., 2015
Random Multi-Constraint Projection: Stochastic Gradient Methods for Convex Optimization with Many Constraints.
CoRR, 2015
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Averaging random projection: A fast online solution for large-scale constrained stochastic optimization.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the 16th IEEE International Symposium on High Assurance Systems Engineering, 2015
Proceedings of the International Conference on Cyberworlds, 2015
2014
Stabilization of Stochastic Iterative Methods for Singular and Nearly Singular Linear Systems.
Math. Oper. Res., 2014
Proceedings of the 20th IEEE Pacific Rim International Symposium on Dependable Computing, 2014
Multi-task nonconvex optimization with total budget constraint: A distributed algorithm using Monte Carlo estimates.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
Stochastic methods for large-scale linear problems, variational inequalities, and convex optimization.
PhD thesis, 2013
Proceedings of the 16th IEEE International Conference on Computational Science and Engineering, 2013
2011
Proceedings of the 2011 IEEE Symposium on Visual Languages and Human-Centric Computing, 2011