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Ming Jin 0002
Person information
- affiliation: Virginia Tech, Blacksburg, VA, USA
- affiliation: University of California at Berkeley, Electrical Engineering and Computer Sciences, CA, USA
- affiliation (former): Hong Kong University of Science and Technology, Hong Kong
Other persons with the same name
- Ming Jin — disambiguation page
- Ming Jin 0001
— Ningbo University, Faculty of Electrical Engineering and Computer Science, China (and 1 more)
- Ming Jin 0003
- Ming Jin 0004
- Ming Jin 0005
- Ming Jin 0006
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2020 – today
- 2024
- [c46]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: 21099-21106 - [c45]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: 13921-13959 - [c44]Vanshaj Khattar, Ming Jin:
Optimization Solution Functions as Deterministic Policies for Offline Reinforcement Learning. ACC 2024: 1263-1268 - [c43]Ahmad Al-Tawaha, Ming Jin:
Does Online Gradient Descent (and Variants) Still Work with Biased Gradient and Variance? ACC 2024: 3570-3575 - [c42]Myeongseob Ko, Feiyang Kang, Weiyan Shi, Ming Jin, Zhou Yu, Ruoxi Jia:
The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes. CVPR 2024: 26276-26285 - [c41]Mohammad Beigi, Ying Shen, Runing Yang, Zihao Lin, Qifan Wang, Ankith Mohan, Jianfeng He, Ming Jin, Chang-Tien Lu, Lifu Huang:
InternalInspector I²: Robust Confidence Estimation in LLMs through Internal States. EMNLP (Findings) 2024: 12847-12865 - [c40]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? EMNLP 2024: 16514-16575 - [c39]Hyunin Lee, Ming Jin, Javad Lavaei, Somayeh Sojoudi:
Pausing Policy Learning in Non-stationary Reinforcement Learning. ICML 2024 - [c38]Bilgehan Sel, Ahmad Al-Tawaha, Vanshaj Khattar, Ruoxi Jia, Ming Jin:
Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models. ICML 2024 - [c37]Padmaksha Roy
Latent Space Correlation-Aware Autoencoder for Anomaly Detection in Skewed Data. PAKDD (1) 2024: 66-77 - [i41]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 abs/2402.08922 (2024) - [i40]Shangding Gu, Alois Knoll, Ming Jin:
TeaMs-RL: Teaching LLMs to Teach Themselves Better Instructions via Reinforcement Learning. CoRR abs/2403.08694 (2024) - [i39]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 abs/2405.01677 (2024) - [i38]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 abs/2405.02989 (2024) - [i37]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 abs/2405.12933 (2024) - [i36]Hyunin Lee, Ming Jin, Javad Lavaei, Somayeh Sojoudi:
Pausing Policy Learning in Non-stationary Reinforcement Learning. CoRR abs/2405.16053 (2024) - [i35]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 abs/2405.16390 (2024) - [i34]Vanshaj Khattar, Yuhao Ding, Bilgehan Sel, Javad Lavaei, Ming Jin:
A CMDP-within-online framework for Meta-Safe Reinforcement Learning. CoRR abs/2405.16601 (2024) - [i33]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 abs/2405.20860 (2024) - [i32]Yi Zeng, Xuelin Yang, Li Chen, Cristian Canton Ferrer, Ming Jin, Michael I. Jordan, Ruoxi Jia:
Fairness-Aware Meta-Learning via Nash Bargaining. CoRR abs/2406.07029 (2024) - [i31]Mohammad Beigi, Ying Shen, Runing Yang, Zihao Lin, Qifan Wang, Ankith Mohan, Jianfeng He, Ming Jin, Chang-Tien Lu, Lifu Huang:
InternalInspector I2: Robust Confidence Estimation in LLMs through Internal States. CoRR abs/2406.12053 (2024) - [i30]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 abs/2406.17274 (2024) - [i29]Hoang Anh Just, Ming Jin, Anit Kumar Sahu, Huy Phan, Ruoxi Jia:
Data-Centric Human Preference Optimization with Rationales. CoRR abs/2407.14477 (2024) - [i28]Hyunin Lee, David Abel, Ming Jin, Javad Lavaei, Somayeh Sojoudi:
A Black Swan Hypothesis in Markov Decision Process via Irrationality. CoRR abs/2407.18422 (2024) - [i27]Vanshaj Khattar, Ming Jin:
Optimization Solution Functions as Deterministic Policies for Offline Reinforcement Learning. CoRR abs/2408.15368 (2024) - [i26]Hoang Anh Just, Mahavir Dabas, Lifu Huang, Ming Jin, Ruoxi Jia:
DiPT: Enhancing LLM reasoning through diversified perspective-taking. CoRR abs/2409.06241 (2024) - 2023
- [j17]Runing Yang, Ruoxi Jia, Xiangyu Zhang
Certifiably Robust Neural ODE With Learning-Based Barrier Function. IEEE Control. Syst. Lett. 7: 1634-1639 (2023) - [j16]Julie Mulvaney-Kemp
Dynamic Regret Bounds for Constrained Online Nonconvex Optimization Based on Polyak-Lojasiewicz Regions. IEEE Trans. Control. Netw. Syst. 10(2): 599-611 (2023) - [c36]Yuhao Ding, Ming Jin, Javad Lavaei:
Non-stationary Risk-Sensitive Reinforcement Learning: Near-Optimal Dynamic Regret, Adaptive Detection, and Separation Design. AAAI 2023: 7405-7413 - [c35]Ming Jin, Vanshaj Khattar, Harshal Kaushik, Bilgehan Sel, Ruoxi Jia:
On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds. AAAI 2023: 8123-8131 - [c34]Vanshaj Khattar, Ming Jin:
Winning the CityLearn Challenge: Adaptive Optimization with Evolutionary Search under Trajectory-Based Guidance. AAAI 2023: 14286-14294 - [c33]Myeongseob Ko, Ming Jin, Chenguang Wang, Ruoxi Jia:
Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study. ICCV 2023: 4848-4858 - [c32]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 - [c31]Vanshaj Khattar, Yuhao Ding, Bilgehan Sel, Javad Lavaei, Ming Jin:
A CMDP-within-online framework for Meta-Safe Reinforcement Learning. ICLR 2023 - [c30]Yi Zeng, Zhouxing Shi, Ming Jin, Feiyang Kang, Lingjuan Lyu, Cho-Jui Hsieh, Ruoxi Jia:
Towards Robustness Certification Against Universal Perturbations. ICLR 2023 - [c29]Bilgehan Sel, Ahmad Al-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: 38-50 - [c28]Hyunin Lee, Yuhao Ding, Jongmin Lee, Ming Jin, Javad Lavaei, Somayeh Sojoudi:
Tempo Adaptation in Non-stationary Reinforcement Learning. NeurIPS 2023 - [c27]Mostafa Meimand
TUNEOPT: An Evolutionary Reinforcement Learning HVAC Controller For Energy-Comfort Optimization Tuning. BuildSys@SenSys 2023: 265-268 - [c26]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: 1667-1684 - [i25]Hoang Anh Just
LAVA: Data Valuation without Pre-Specified Learning Algorithms. CoRR abs/2305.00054 (2023) - [i24]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 abs/2308.10379 (2023) - [i23]Ming Jin, Bilgehan Sel, Fnu Hardeep, Wotao Yin:
A Human-on-the-Loop Optimization Autoformalism Approach for Sustainability. CoRR abs/2308.10380 (2023) - [i22]Hyunin Lee, Yuhao Ding, Jongmin Lee, Ming Jin, Javad Lavaei, Somayeh Sojoudi:
Tempo Adaption in Non-stationary Reinforcement Learning. CoRR abs/2309.14989 (2023) - [i21]Myeongseob Ko, Ming Jin, Chenguang Wang, Ruoxi Jia:
Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study. CoRR abs/2310.00108 (2023) - [i20]Padmaksha Roy, Tyler Cody, Himanshu Singhal, Kevin Choi, Ming Jin:
Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space. CoRR abs/2312.17300 (2023) - 2022
- [j15]He Yin
Imitation Learning With Stability and Safety Guarantees. IEEE Control. Syst. Lett. 6: 409-414 (2022) - [j14]Sarthak Gupta, Vassilis Kekatos
Controlling Smart Inverters Using Proxies: A Chance-Constrained DNN-Based Approach. IEEE Trans. Smart Grid 13(2): 1310-1321 (2022) - [c25]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: 5385-5394 - [c24]Zain ul Abdeen, He Yin, Vassilis Kekatos
Learning Neural Networks under Input-Output Specifications. ACC 2022: 1515-1520 - [c23]Yi Zeng, Si Chen, Won Park, Zhuoqing Mao, Ming Jin, Ruoxi Jia:
Adversarial Unlearning of Backdoors via Implicit Hypergradient. ICLR 2022 - [i19]Zain ul Abdeen, He Yin, Vassilis Kekatos, Ming Jin:
Learning Neural Networks under Input-Output Specifications. CoRR abs/2202.11246 (2022) - [i18]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 abs/2210.06516 (2022) - [i17]Yuhao Ding, Ming Jin, Javad Lavaei:
Non-stationary Risk-sensitive Reinforcement Learning: Near-optimal Dynamic Regret, Adaptive Detection, and Separation Design. CoRR abs/2211.10815 (2022) - [i16]Ming Jin, Vanshaj Khattar, Harshal Kaushik, Bilgehan Sel, Ruoxi Jia:
On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds. CoRR abs/2212.01314 (2022) - [i15]Vanshaj Khattar, Ming Jin:
Winning the CityLearn Challenge: Adaptive Optimization with Evolutionary Search under Trajectory-based Guidance. CoRR abs/2212.01939 (2022) - 2021
- [j13]Ming Jin
Boundary Defense Against Cyber Threat for Power System State Estimation. IEEE Trans. Inf. Forensics Secur. 16: 1752-1767 (2021) - [c22]Ming Jin, Heng Chang
Power up! Robust Graph Convolutional Network via Graph Powering. AAAI 2021: 8004-8012 - [c21]SangWoo Park, Julie Mulvaney-Kemp, Ming Jin, Javad Lavaei:
Diminishing Regret for Online Nonconvex Optimization. ACC 2021: 978-985 - [i14]Sarthak Gupta, Vassilis Kekatos, Ming Jin:
Controlling Smart Inverters using Proxies: A Chance-Constrained DNN-based Approach. CoRR abs/2105.00429 (2021) - [i13]Tianhao Wang, Yi Zeng, Ming Jin, Ruoxi Jia:
A Unified Framework for Task-Driven Data Quality Management. CoRR abs/2106.05484 (2021) - [i12]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 abs/2109.03861 (2021) - [i11]Yi Zeng, Si Chen, Won Park, Z. Morley Mao, Ming Jin, Ruoxi Jia:
Adversarial Unlearning of Backdoors via Implicit Hypergradient. CoRR abs/2110.03735 (2021) - 2020
- [j12]Ming Jin
Stability-Certified Reinforcement Learning: A Control-Theoretic Perspective. IEEE Access 8: 229086-229100 (2020) - [j11]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): 391-409 (2020) - [j10]Ming Jin
Scalable and Robust State Estimation From Abundant But Untrusted Data. IEEE Trans. Smart Grid 11(3): 1880-1894 (2020) - [c20]Sarthak Gupta, Vassilis Kekatos
Deep Learning for Reactive Power Control of Smart Inverters under Communication Constraints. SmartGridComm 2020: 1-6 - [i10]He Yin, Peter J. Seiler, Ming Jin, Murat Arcak:
Imitation Learning with Stability and Safety Guarantees. CoRR abs/2012.09293 (2020)
2010 – 2019
- 2019
- [j9]Ming Jin
Power Grid AC-Based State Estimation: Vulnerability Analysis Against Cyber Attacks. IEEE Trans. Autom. Control. 64(5): 1784-1799 (2019) - [c19]Ming Jin, Igor Molybog, Reza Mohammadi-Ghazi, Javad Lavaei:
Towards Robust and Scalable Power System State Estimation. CDC 2019: 3245-3252 - [i9]Ming Jin, Heng Chang, Wenwu Zhu, Somayeh Sojoudi:
Power up! Robust Graph Convolutional Network against Evasion Attacks based on Graph Powering. CoRR abs/1905.10029 (2019) - 2018
- [j8]Ruoxi Jia
Design Automation for Smart Building Systems. Proc. IEEE 106(9): 1680-1699 (2018) - [j7]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): 1381 (2018) - [j6]Ming Jin
Occupancy Detection via Environmental Sensing. IEEE Trans Autom. Sci. Eng. 15(2): 443-455 (2018) - [j5]Ioannis C. Konstantakopoulos
A Robust Utility Learning Framework via Inverse Optimization. IEEE Trans. Control. Syst. Technol. 26(3): 954-970 (2018) - [c18]Ming Jin, Javad Lavaei:
Control-Theoretic Analysis of Smoothness for Stability-Certified Reinforcement Learning. CDC 2018: 6840-6847 - [i8]Ming Jin, Javad Lavaei:
Stability-certified reinforcement learning: A control-theoretic perspective. CoRR abs/1810.11505 (2018) - 2017
- [b1]Ming Jin:
Data-efficient Analytics for Optimal Human-Cyber-Physical Systems. University of California, Berkeley, USA, 2017 - [j4]Ming Jin, Ruoxi Jia, Costas J. Spanos:
Virtual Occupancy Sensing: Using Smart Meters to Indicate Your Presence. IEEE Trans. Mob. Comput. 16(11): 3264-3277 (2017) - [j3]Han Zou
WinIPS: WiFi-Based Non-Intrusive Indoor Positioning System With Online Radio Map Construction and Adaptation. IEEE Trans. Wirel. Commun. 16(12): 8118-8130 (2017) - [c17]Ming Jin, Javad Lavaei, Karl Henrik Johansson:
A semidefinite programming relaxation under false data injection attacks against power grid AC state estimation. Allerton 2017: 236-243 - [c16]Ioannis C. Konstantakopoulos, Lillian J. Ratliff
Leveraging correlations in utility learning. ACC 2017: 5249-5256 - [c15]Ming Jin, Shichao Liu
Indoor environmental quality monitoring by autonomous mobile sensing. BuildSys@SenSys 2017: 20:1-20:4 - [c14]Ming Jin, Andreas C. Damianou, Pieter Abbeel, Costas J. Spanos:
Inverse Reinforcement Learning via Deep Gaussian Process. UAI 2017 - [i7]Ioannis C. Konstantakopoulos, Lillian J. Ratliff, Ming Jin, S. Shankar Sastry, Costas J. Spanos:
A Robust Utility Learning Framework via Inverse Optimization. CoRR abs/1704.07933 (2017) - 2016
- [j2]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): 472 (2016) - [c13]Ioannis C. Konstantakopoulos, Lillian J. Ratliff
Inverse modeling of non-cooperative agents via mixture of utilities. CDC 2016: 6327-6334 - [c12]Weixi Gu, Ming Jin, Zimu Zhou, Costas J. Spanos, Lin Zhang:
MetroEye: towards fine-grained passenger tracking underground. UbiComp Adjunct 2016: 77-80 - [c11]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: 1081-1082 - [c10]Weixi Gu, Ming Jin, Zimu Zhou, Costas J. Spanos, Lin Zhang:
MetroEye: Smart Tracking Your Metro Trips Underground. MobiQuitous 2016: 84-93 - 2015
- [j1]Kevin Weekly, Nikolaos Bekiaris-Liberis, Ming Jin, Alexandre M. Bayen:
Modeling and Estimation of the Humans' Effect on the CO2 Dynamics Inside a Conference Room. IEEE Trans. Control. Syst. Technol. 23(5): 1770-1781 (2015) - [c9]Ruoxi Jia, Ming Jin, Zilong Chen, Costas J. Spanos:
SoundLoc: Accurate room-level indoor localization using acoustic signatures. CASE 2015: 186-193 - [c8]Ming Jin, Lin Zhang, Costas J. Spanos:
Power prediction through energy consumption pattern recognition for smart buildings. CASE 2015: 419-424 - [c7]Ming Jin, Costas J. Spanos:
BRIEF: Bayesian Regression of Infinite Expert Forecasters for single and multiple time series prediction. CDC 2015: 78-83 - [c6]Ming Jin, Lillian J. Ratliff
REST: a reliable estimation of stopping time algorithm for social game experiments. ICCPS 2015: 90-99 - [c5]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: 109-110 - [i6]Ming Jin, Costas J. Spanos:
Inverse Reinforcement Learning via Deep Gaussian Process. CoRR abs/1512.08065 (2015) - 2014
- [c4]Lillian J. Ratliff
Social game for building energy efficiency: Incentive design. Allerton 2014: 1011-1018 - [c3]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: 5369-5375 - [c2]Zhaoyi Kang, Ming Jin, Costas J. Spanos:
Modeling of end-use energy profile: An appliance-data-driven stochastic approach. IECON 2014: 5382-5388 - [c1]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: 1-10 - [i5]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 abs/1406.5765 (2014) - [i4]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 abs/1407.0727 (2014) - [i3]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 abs/1407.4395 (2014) - [i2]Ruoxi Jia, Ming Jin, Costas J. Spanos:
SoundLoc: Acoustic Method for Indoor Localization without Infrastructure. CoRR abs/1407.4409 (2014) - [i1]Kevin Weekly, Ming Jin, Han Zou, Christopher Hsu, Alexandre M. Bayen, Costas J. Spanos:
Building-in-Briefcase (BiB). CoRR abs/1409.1660 (2014)
Coauthor Index
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