Ming Jin

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 75

Top Venues

University of California, Berkeley, USA (PHD)

Education History

University of California, Berkeley, USA

PHD

Publications

Vanshaj Khattar, Yuhao Ding, Bilgehan Sel, Javad Lavaei, Ming Jin
A CMDP-within-online framework for Meta-Safe Reinforcement Learning. CoRR (2024)
Jianfeng He, Runing Yang, Linlin Yu, Changbin Li, Ruoxi Jia, Feng Chen, Ming Jin, Chang-Tien Lu
Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization? CoRR (2024)
Padmaksha Roy, Himanshu Singhal, Timothy J. O'Shea, Ming Jin
Latent Space Correlation-Aware Autoencoder for Anomaly Detection in Skewed Data. PAKDD (1) (2024)
Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Ming Jin, Alois Knoll
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation. AAAI (2024)
Bilgehan Sel, Priya Shanmugasundaram, Mohammad Kachuee, Kun Zhou, Ruoxi Jia, Ming Jin
Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in LLMs. CoRR (2024)
Yi Zeng, Xuelin Yang, Li Chen, Cristian Canton Ferrer, Ming Jin, Michael I. Jordan, Ruoxi Jia
Fairness-Aware Meta-Learning via Nash Bargaining. CoRR (2024)
Hyunin Lee, David Abel, Ming Jin, Javad Lavaei, Somayeh Sojoudi
A Black Swan Hypothesis in Markov Decision Process via Irrationality. CoRR (2024)
Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Alois Knoll, Ming Jin
Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning. CoRR (2024)
Hyunin Lee, Ming Jin, Javad Lavaei, Somayeh Sojoudi
Pausing Policy Learning in Non-stationary Reinforcement Learning. CoRR (2024)
Bilgehan Sel, Priya Shanmugasundaram, Mohammad Kachuee, Kun Zhou, Ruoxi Jia, Ming Jin
Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in LLMs. ACL (1) (2024)
Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Ming Jin, Alois Knoll
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation. CoRR (2024)
Zain ul Abdeen, Padmaksha Roy, Ahmad Al-Tawaha, Rouxi Jia, Laura J. Freeman, Peter A. Beling, Chen-Ching Liu, Alberto L. Sangiovanni-Vincentelli, Ming Jin
Defense against Joint Poison and Evasion Attacks: A Case Study of DERMS. CoRR (2024)
Shangding Gu, Laixi Shi, Yuhao Ding, Alois Knoll, Costas J. Spanos, Adam Wierman, Ming Jin
Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation. CoRR (2024)
Hoang Anh Just, Ming Jin, Anit Kumar Sahu, Huy Phan, Ruoxi Jia
Data-Centric Human Preference Optimization with Rationales. CoRR (2024)
Shangding Gu, Alois Knoll, Ming Jin
TeaMs-RL: Teaching LLMs to Teach Themselves Better Instructions via Reinforcement Learning. CoRR (2024)
Myeongseob Ko, Feiyang Kang, Weiyan Shi, Ming Jin, Zhou Yu, Ruoxi Jia
The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes. CoRR (2024)
Vanshaj Khattar, Ming Jin
Winning the CityLearn Challenge: Adaptive Optimization with Evolutionary Search under Trajectory-Based Guidance. AAAI (2023)
Myeongseob Ko, Ming Jin, Chenguang Wang, Ruoxi Jia
Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study. ICCV (2023)
Runing Yang, Ruoxi Jia, Xiangyu Zhang, Ming Jin
Certifiably Robust Neural ODE With Learning-Based Barrier Function. IEEE Control. Syst. Lett. 7 (2023)
Mostafa Meimand, Vanshaj Khattar, Zahra Yazdani, Farrokh Jazizadeh, Ming Jin
TUNEOPT: An Evolutionary Reinforcement Learning HVAC Controller For Energy-Comfort Optimization Tuning. BuildSys@SenSys (2023)
Bilgehan Sel, Ahmad Tawaha, Yuhao Ding, Ruoxi Jia, Bo Ji, Javad Lavaei, Ming Jin
Learning-to-Learn to Guide Random Search: Derivative-Free Meta Blackbox Optimization on Manifold. L4DC (2023)
Bilgehan Sel, Ahmad Al-Tawaha, Vanshaj Khattar, Lu Wang, Ruoxi Jia, Ming Jin
Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models. CoRR (2023)
Vanshaj Khattar, Yuhao Ding, Bilgehan Sel, Javad Lavaei, Ming Jin
A CMDP-within-online framework for Meta-Safe Reinforcement Learning. ICLR (2023)
Hoang Anh Just, Feiyang Kang, Tianhao Wang, Yi Zeng, Myeongseob Ko, Ming Jin, Ruoxi Jia
LAVA: Data Valuation without Pre-Specified Learning Algorithms. ICLR (2023)
Ming Jin, Vanshaj Khattar, Harshal Kaushik, Bilgehan Sel, Ruoxi Jia
On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds. AAAI (2023)
Ming Jin, Bilgehan Sel, Fnu Hardeep, Wotao Yin
A Human-on-the-Loop Optimization Autoformalism Approach for Sustainability. CoRR (2023)
Yi Zeng, Zhouxing Shi, Ming Jin, Feiyang Kang, Lingjuan Lyu, Cho-Jui Hsieh, Ruoxi Jia
Towards Robustness Certification Against Universal Perturbations. ICLR (2023)
Hyunin Lee, Yuhao Ding, Jongmin Lee, Ming Jin, Javad Lavaei, Somayeh Sojoudi
Tempo Adaption in Non-stationary Reinforcement Learning. CoRR (2023)
Yi Zeng, Minzhou Pan, Himanshu Jahagirdar, Ming Jin, Lingjuan Lyu, Ruoxi Jia
Meta-Sift: How to Sift Out a Clean Subset in the Presence of Data Poisoning? USENIX Security Symposium (2023)
Myeongseob Ko, Ming Jin, Chenguang Wang, Ruoxi Jia
Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study. CoRR (2023)
Hyunin Lee, Yuhao Ding, Jongmin Lee, Ming Jin, Javad Lavaei, Somayeh Sojoudi
Tempo Adaptation in Non-stationary Reinforcement Learning. NeurIPS (2023)
Julie Mulvaney-Kemp, Sangwoo Park, Ming Jin, Javad Lavaei
Dynamic Regret Bounds for Constrained Online Nonconvex Optimization Based on Polyak-Lojasiewicz Regions. IEEE Trans. Control. Netw. Syst. 10 (2) (2023)
Yuhao Ding, Ming Jin, Javad Lavaei
Non-stationary Risk-Sensitive Reinforcement Learning: Near-Optimal Dynamic Regret, Adaptive Detection, and Separation Design. AAAI (2023)
Hoang Anh Just, Feiyang Kang, Jiachen T. Wang, Yi Zeng, Myeongseob Ko, Ming Jin, Ruoxi Jia
LAVA: Data Valuation without Pre-Specified Learning Algorithms. CoRR (2023)
Ming Jin, Vanshaj Khattar, Harshal Kaushik, Bilgehan Sel, Ruoxi Jia
On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds. CoRR (2022)
Yuhao Ding, Ming Jin, Javad Lavaei
Non-stationary Risk-sensitive Reinforcement Learning: Near-optimal Dynamic Regret, Adaptive Detection, and Separation Design. CoRR (2022)
Yi Zeng, Minzhou Pan, Himanshu Jahagirdar, Ming Jin, Lingjuan Lyu, Ruoxi Jia
How to Sift Out a Clean Data Subset in the Presence of Data Poisoning? CoRR (2022)
Fangda Gu, He Yin, Laurent El Ghaoui, Murat Arcak, Peter J. Seiler, Ming Jin
Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems. AAAI (2022)
Yi Zeng, Si Chen, Won Park, Zhuoqing Mao, Ming Jin, Ruoxi Jia
Adversarial Unlearning of Backdoors via Implicit Hypergradient. ICLR (2022)
Zain ul Abdeen, He Yin, Vassilis Kekatos, Ming Jin
Learning Neural Networks under Input-Output Specifications. ACC (2022)
Sarthak Gupta, Vassilis Kekatos, Ming Jin
Controlling Smart Inverters Using Proxies: A Chance-Constrained DNN-Based Approach. IEEE Trans. Smart Grid 13 (2) (2022)
He Yin, Peter J. Seiler, Ming Jin, Murat Arcak
Imitation Learning With Stability and Safety Guarantees. IEEE Control. Syst. Lett. 6 (2022)
Ming Jin, Heng Chang, Wenwu Zhu, Somayeh Sojoudi
Power up! Robust Graph Convolutional Network via Graph Powering. AAAI (2021)
Sarthak Gupta, Vassilis Kekatos, Ming Jin
Controlling Smart Inverters using Proxies: A Chance-Constrained DNN-based Approach. CoRR (2021)
Fangda Gu, He Yin, Laurent El Ghaoui, Murat Arcak, Peter J. Seiler, Ming Jin
Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems. CoRR (2021)
Ming Jin, Javad Lavaei, Somayeh Sojoudi, Ross Baldick
Boundary Defense Against Cyber Threat for Power System State Estimation. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Tianhao Wang, Yi Zeng, Ming Jin, Ruoxi Jia
A Unified Framework for Task-Driven Data Quality Management. CoRR (2021)
Sangwoo Park, Julie Mulvaney-Kemp, Ming Jin, Javad Lavaei
Diminishing Regret for Online Nonconvex Optimization. ACC (2021)
Yi Zeng, Si Chen, Won Park, Z. Morley Mao, Ming Jin, Ruoxi Jia
Adversarial Unlearning of Backdoors via Implicit Hypergradient. CoRR (2021)
Fariba Zohrizadeh, Cédric Josz, Ming Jin, Ramtin Madani, Javad Lavaei, Somayeh Sojoudi
A survey on conic relaxations of optimal power flow problem. Eur. J. Oper. Res. 287 (2) (2020)
Ming Jin, Igor Molybog, Reza Mohammadi-Ghazi, Javad Lavaei
Scalable and Robust State Estimation From Abundant But Untrusted Data. IEEE Trans. Smart Grid 11 (3) (2020)
Ming Jin, Javad Lavaei
Stability-Certified Reinforcement Learning: A Control-Theoretic Perspective. IEEE Access 8 (2020)
He Yin, Peter J. Seiler, Ming Jin, Murat Arcak
Imitation Learning with Stability and Safety Guarantees. CoRR (2020)
Sarthak Gupta, Vassilis Kekatos, Ming Jin
Deep Learning for Reactive Power Control of Smart Inverters under Communication Constraints. SmartGridComm (2020)
Ming Jin, Javad Lavaei, Karl Henrik Johansson
Power Grid AC-Based State Estimation: Vulnerability Analysis Against Cyber Attacks. IEEE Trans. Autom. Control. 64 (5) (2019)
Ming Jin, Igor Molybog, Reza Mohammadi-Ghazi, Javad Lavaei
Towards Robust and Scalable Power System State Estimation. CDC (2019)
Ming Jin, Heng Chang, Wenwu Zhu, Somayeh Sojoudi
Power up! Robust Graph Convolutional Network against Evasion Attacks based on Graph Powering. CoRR (2019)
Ruoxi Jia, Baihong Jin, Ming Jin, Yuxun Zhou, Ioannis C. Konstantakopoulos, Han Zou, Joyce Kim, Dan Li, Weixi Gu, Reza Arghandeh, Pierluigi Nuzzo, Stefano Schiavon, Alberto L. Sangiovanni-Vincentelli, Costas J. Spanos
Design Automation for Smart Building Systems. Proc. IEEE 106 (9) (2018)
Ming Jin, Javad Lavaei
Stability-certified reinforcement learning: A control-theoretic perspective. CoRR (2018)
Ioannis C. Konstantakopoulos, Lillian J. Ratliff, Ming Jin, S. Shankar Sastry, Costas J. Spanos
A Robust Utility Learning Framework via Inverse Optimization. IEEE Trans. Control. Syst. Technol. 26 (3) (2018)
Kevin Weekly, Ming Jin, Han Zou, Christopher Hsu, Chris Soyza, Alexandre M. Bayen, Costas J. Spanos
Building-in-Briefcase: A Rapidly-Deployable Environmental Sensor Suite for the Smart Building. Sensors 18 (5) (2018)
Ming Jin, Javad Lavaei
Control-Theoretic Analysis of Smoothness for Stability-Certified Reinforcement Learning. CDC (2018)
Ming Jin, Nikolaos Bekiaris-Liberis, Kevin Weekly, Costas J. Spanos, Alexandre M. Bayen
Occupancy Detection via Environmental Sensing. IEEE Trans Autom. Sci. Eng. 15 (2) (2018)
Ioannis C. Konstantakopoulos, Lillian J. Ratliff, Ming Jin, Costas J. Spanos
Leveraging correlations in utility learning. ACC (2017)
Ming Jin, Shichao Liu, Yulun Tian, Mingjian Lu, Stefano Schiavon, Costas J. Spanos
Indoor environmental quality monitoring by autonomous mobile sensing. BuildSys@SenSys (2017)
Han Zou, Ming Jin, Hao Jiang, Lihua Xie, Costas J. Spanos
WinIPS: WiFi-Based Non-Intrusive Indoor Positioning System With Online Radio Map Construction and Adaptation. IEEE Trans. Wirel. Commun. 16 (12) (2017)
Ioannis C. Konstantakopoulos, Lillian J. Ratliff, Ming Jin, S. Shankar Sastry, Costas J. Spanos
A Robust Utility Learning Framework via Inverse Optimization. CoRR (2017)
Ming Jin, Andreas C. Damianou, Pieter Abbeel, Costas J. Spanos
Inverse Reinforcement Learning via Deep Gaussian Process. UAI (2017)
Ming Jin, Ruoxi Jia, Costas J. Spanos
Virtual Occupancy Sensing: Using Smart Meters to Indicate Your Presence. IEEE Trans. Mob. Comput. 16 (11) (2017)
Ming Jin, Javad Lavaei, Karl Henrik Johansson
A semidefinite programming relaxation under false data injection attacks against power grid AC state estimation. Allerton (2017)
Ruoxi Jia, Ming Jin, Han Zou, Yigitcan Yesilata, Lihua Xie, Costas J. Spanos
MapSentinel: Can the Knowledge of Space Use Improve Indoor Tracking Further? Sensors 16 (4) (2016)
Weixi Gu, Ming Jin, Zimu Zhou, Costas J. Spanos, Lin Zhang
MetroEye: Smart Tracking Your Metro Trips Underground. MobiQuitous (2016)
Ioannis C. Konstantakopoulos, Lillian J. Ratliff, Ming Jin, Costas J. Spanos, S. Shankar Sastry
Inverse modeling of non-cooperative agents via mixture of utilities. CDC (2016)
Han Zou, Ming Jin, Hao Jiang, Lihua Xie, Costas J. Spanos
WinIPS: WiFi-based non-intrusive IPS for online radio map construction. INFOCOM Workshops (2016)
Weixi Gu, Ming Jin, Zimu Zhou, Costas J. Spanos, Lin Zhang
MetroEye: towards fine-grained passenger tracking underground. UbiComp Adjunct (2016)
Ruoxi Jia, Ming Jin, Zilong Chen, Costas J. Spanos
SoundLoc: Accurate room-level indoor localization using acoustic signatures. CASE (2015)
Kevin Weekly, Nikolaos Bekiaris-Liberis, Ming Jin, Alexandre M. Bayen
Dynamics Inside a Conference Room. IEEE Trans. Control. Syst. Technol. 23 (5) (2015)
Ming Jin, Lillian J. Ratliff, Ioannis C. Konstantakopoulos, Costas J. Spanos, S. Shankar Sastry
REST: a reliable estimation of stopping time algorithm for social game experiments. ICCPS (2015)
Ruoxi Jia, Ming Jin, Han Zou, Yigitcan Yesilata, Lihua Xie, Costas J. Spanos
Poster Abstract: MapSentinel: Map-Aided Non-intrusive Indoor Tracking in Sensor-Rich Environments. BuildSys@SenSys (2015)
Ming Jin, Costas J. Spanos
BRIEF: Bayesian Regression of Infinite Expert Forecasters for single and multiple time series prediction. CDC (2015)
Ming Jin, Lin Zhang, Costas J. Spanos
Power prediction through energy consumption pattern recognition for smart buildings. CASE (2015)
Ming Jin, Costas J. Spanos
Inverse Reinforcement Learning via Deep Gaussian Process. CoRR (2015)
Ming Jin, Ruoxi Jia, Zhaoyi Kang, Ioannis C. Konstantakopoulos, Costas J. Spanos
PresenceSense: Zero-training Algorithm for Individual Presence Detection based on Power Monitoring. CoRR (2014)
Ioannis C. Konstantakopoulos, Lillian J. Ratliff, Ming Jin, S. Shankar Sastry, Costas J. Spanos
Social Game for Building Energy Efficiency: Utility Learning, Simulation, and Analysis. CoRR (2014)
Ming Jin, Han Zou, Kevin Weekly, Ruoxi Jia, Alexandre M. Bayen, Costas J. Spanos
Environmental Sensing by Wearable Device for Indoor Activity and Location Estimation. CoRR (2014)
Zhaoyi Kang, Ming Jin, Costas J. Spanos
Modeling of end-use energy profile: An appliance-data-driven stochastic approach. IECON (2014)
Kevin Weekly, Ming Jin, Han Zou, Christopher Hsu, Alexandre M. Bayen, Costas J. Spanos
Building-in-Briefcase (BiB). CoRR (2014)
Ruoxi Jia, Ming Jin, Costas J. Spanos
SoundLoc: Acoustic Method for Indoor Localization without Infrastructure. CoRR (2014)
Ming Jin, Han Zou, Kevin Weekly, Ruoxi Jia, Alexandre M. Bayen, Costas J. Spanos
Environmental sensing by wearable device for indoor activity and location estimation. IECON (2014)
Ming Jin, Ruoxi Jia, Zhaoyi Kang, Ioannis C. Konstantakopoulos, Costas J. Spanos
PresenceSense: zero-training algorithm for individual presence detection based on power monitoring. BuildSys@SenSys (2014)
Lillian J. Ratliff, Ming Jin, Ioannis C. Konstantakopoulos, Costas J. Spanos, S. Shankar Sastry
Social game for building energy efficiency: Incentive design. Allerton (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ming Jin