Ming Jin

Orcid: 0000-0001-7909-4545

Affiliations:
  • Virginia Tech, Blacksburg, VA, USA
  • University of California at Berkeley, Electrical Engineering and Computer Sciences, CA, USA
  • Hong Kong University of Science and Technology, Hong Kong (former)


According to our database1, Ming Jin authored at least 69 papers between 2014 and 2024.

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Bibliography

2024
TeaMs-RL: Teaching LLMs to Teach Themselves Better Instructions via Reinforcement Learning.
CoRR, 2024

The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes.
CoRR, 2024

Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Dynamic Regret Bounds for Constrained Online Nonconvex Optimization Based on Polyak-Lojasiewicz Regions.
IEEE Trans. Control. Netw. Syst., June, 2023

Certifiably Robust Neural ODE With Learning-Based Barrier Function.
IEEE Control. Syst. Lett., 2023

Tempo Adaption in Non-stationary Reinforcement Learning.
CoRR, 2023

A Human-on-the-Loop Optimization Autoformalism Approach for Sustainability.
CoRR, 2023

Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models.
CoRR, 2023

LAVA: Data Valuation without Pre-Specified Learning Algorithms.
CoRR, 2023

Meta-Sift: How to Sift Out a Clean Subset in the Presence of Data Poisoning?
Proceedings of the 32nd USENIX Security Symposium, 2023

TUNEOPT: An Evolutionary Reinforcement Learning HVAC Controller For Energy-Comfort Optimization Tuning.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

Tempo Adaptation in Non-stationary Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning-to-Learn to Guide Random Search: Derivative-Free Meta Blackbox Optimization on Manifold.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Towards Robustness Certification Against Universal Perturbations.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

A CMDP-within-online framework for Meta-Safe Reinforcement Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

LAVA: Data Valuation without Pre-Specified Learning Algorithms.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Winning the CityLearn Challenge: Adaptive Optimization with Evolutionary Search under Trajectory-Based Guidance.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Non-stationary Risk-Sensitive Reinforcement Learning: Near-Optimal Dynamic Regret, Adaptive Detection, and Separation Design.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Controlling Smart Inverters Using Proxies: A Chance-Constrained DNN-Based Approach.
IEEE Trans. Smart Grid, 2022

Imitation Learning With Stability and Safety Guarantees.
IEEE Control. Syst. Lett., 2022

How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?
CoRR, 2022

Adversarial Unlearning of Backdoors via Implicit Hypergradient.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Neural Networks under Input-Output Specifications.
Proceedings of the American Control Conference, 2022

Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Boundary Defense Against Cyber Threat for Power System State Estimation.
IEEE Trans. Inf. Forensics Secur., 2021

Adversarial Unlearning of Backdoors via Implicit Hypergradient.
CoRR, 2021

A Unified Framework for Task-Driven Data Quality Management.
CoRR, 2021

Diminishing Regret for Online Nonconvex Optimization.
Proceedings of the 2021 American Control Conference, 2021

Power up! Robust Graph Convolutional Network via Graph Powering.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Scalable and Robust State Estimation From Abundant But Untrusted Data.
IEEE Trans. Smart Grid, 2020

A survey on conic relaxations of optimal power flow problem.
Eur. J. Oper. Res., 2020

Stability-Certified Reinforcement Learning: A Control-Theoretic Perspective.
IEEE Access, 2020

Deep Learning for Reactive Power Control of Smart Inverters under Communication Constraints.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019
Power Grid AC-Based State Estimation: Vulnerability Analysis Against Cyber Attacks.
IEEE Trans. Autom. Control., 2019

Power up! Robust Graph Convolutional Network against Evasion Attacks based on Graph Powering.
CoRR, 2019

Towards Robust and Scalable Power System State Estimation.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
A Robust Utility Learning Framework via Inverse Optimization.
IEEE Trans. Control. Syst. Technol., 2018

Occupancy Detection via Environmental Sensing.
IEEE Trans Autom. Sci. Eng., 2018

Building-in-Briefcase: A Rapidly-Deployable Environmental Sensor Suite for the Smart Building.
Sensors, 2018

Design Automation for Smart Building Systems.
Proc. IEEE, 2018

Control-Theoretic Analysis of Smoothness for Stability-Certified Reinforcement Learning.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Data-efficient Analytics for Optimal Human-Cyber-Physical Systems.
PhD thesis, 2017

WinIPS: WiFi-Based Non-Intrusive Indoor Positioning System With Online Radio Map Construction and Adaptation.
IEEE Trans. Wirel. Commun., 2017

Virtual Occupancy Sensing: Using Smart Meters to Indicate Your Presence.
IEEE Trans. Mob. Comput., 2017

Inverse Reinforcement Learning via Deep Gaussian Process.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Indoor environmental quality monitoring by autonomous mobile sensing.
Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments, 2017

Leveraging correlations in utility learning.
Proceedings of the 2017 American Control Conference, 2017

A semidefinite programming relaxation under false data injection attacks against power grid AC state estimation.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016
MapSentinel: Can the Knowledge of Space Use Improve Indoor Tracking Further?
Sensors, 2016

MetroEye: Smart Tracking Your Metro Trips Underground.
Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing, 2016

WinIPS: WiFi-based non-intrusive IPS for online radio map construction.
Proceedings of the IEEE Conference on Computer Communications Workshops, 2016

MetroEye: towards fine-grained passenger tracking underground.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016

Inverse modeling of non-cooperative agents via mixture of utilities.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Modeling and Estimation of the Humans' Effect on the CO<sub>2</sub> Dynamics Inside a Conference Room.
IEEE Trans. Control. Syst. Technol., 2015

Inverse Reinforcement Learning via Deep Gaussian Process.
CoRR, 2015

Poster Abstract: MapSentinel: Map-Aided Non-intrusive Indoor Tracking in Sensor-Rich Environments.
Proceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments, 2015

REST: a reliable estimation of stopping time algorithm for social game experiments.
Proceedings of the ACM/IEEE Sixth International Conference on Cyber-Physical Systems, 2015

BRIEF: Bayesian Regression of Infinite Expert Forecasters for single and multiple time series prediction.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Power prediction through energy consumption pattern recognition for smart buildings.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015

SoundLoc: Accurate room-level indoor localization using acoustic signatures.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015

2014
Building-in-Briefcase (BiB).
CoRR, 2014

Social Game for Building Energy Efficiency: Utility Learning, Simulation, and Analysis.
CoRR, 2014

SoundLoc: Acoustic Method for Indoor Localization without Infrastructure.
CoRR, 2014

PresenceSense: zero-training algorithm for individual presence detection based on power monitoring.
Proceedings of the 1st ACM Conference on Embedded Systems for Energy-Efficient Buildings, 2014

Modeling of end-use energy profile: An appliance-data-driven stochastic approach.
Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014

Environmental sensing by wearable device for indoor activity and location estimation.
Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014

Social game for building energy efficiency: Incentive design.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014


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