Ming Jin

156 papers A* 28A 2C 10Journal 87Unranked 28
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adversarial Reward Auditing for Active Detection and Mitigation of Reward Hacking.
CoRR
Mohammad Beigi, Ming Jin, Junshan Zhang, Qifan Wang, Lifu Huang
2026 J jnl
IR
CoRR
Mohammad Beigi, Ming Jin, Junshan Zhang, Jiaxin Zhang, Qifan Wang, Lifu Huang
2026 J jnl
Reinforcement Learning with Backtracking Feedback.
CoRR
Bilgehan Sel, Vaishakh Keshava, Phillip Wallis, Lukas Rutishauser, Ming Jin, Dingcheng Li
2026 J jnl
Survey of uncertainty estimation in LLMs - Sources, methods, applications, and challenges.
Inf. Fusion
Jianfeng He, Linlin Yu, Changbin Li, Runing Yang, Fanglan Chen, Kangshuo Li, Min Zhang, Shuo Lei, Xuchao Zhang, Mohammad Beigi, Kaize Ding, Bei Xiao, Lifu Huang, Feng Chen, Ming Jin, Chang-Tien Lu
2026 J jnl
Toward Adaptive Grid Resilience: A Gradient-Free Meta-RL Framework for Critical Load Restoration.
CoRR
Zain ul Abdeen, Waris Gill, Ming Jin
2025 A* conf
A Black Swan Hypothesis: The Role of Human Irrationality in AI Safety.
ICLR
Hyunin Lee, Chanwoo Park, David Abel, Ming Jin
2025 — conf
A Dynamic Penalization Framework for Online Rank-1 Semidefinite Programming Relaxations.
L4DC
Ahmad Al-Tawaha, Javad Lavaei, Ming Jin
2025 J jnl
A Scalable Approach for Safe and Robust Learning via Lipschitz-Constrained Networks.
CoRR
Zain ul Abdeen, Vassilis Kekatos, Ming Jin
2025 J jnl
AccidentBench: Benchmarking Multimodal Understanding and Reasoning in Vehicle Accidents and Beyond.
CoRR
Shangding Gu, Xiaohan Wang, Donghao Ying, Haoyu Zhao, Runing Yang, Ming Jin, Boyi Li, Marco Pavone, Serena Yeung-Levy, Jun Wang, Dawn Song, Costas J. Spanos
2025 J jnl
Adversarial Déjà Vu: Jailbreak Dictionary Learning for Stronger Generalization to Unseen Attacks.
CoRR
Mahavir Dabas, Tran Huynh, Nikhil Reddy Billa, Jiachen T. Wang, Peng Gao, Charith Peris, Yao Ma, Rahul Gupta, Ming Jin, Prateek Mittal, Ruoxi Jia
2025 J jnl
Agentic Web: Weaving the Next Web with AI Agents.
CoRR
Yingxuan Yang, Mulei Ma, Yuxuan Huang, Huacan Chai, Chenyu Gong, Haoran Geng, Yuanjian Zhou, Ying Wen, Meng Fang, Muhao Chen, Shangding Gu, Ming Jin, Costas J. Spanos, Yang Yang, Pieter Abbeel, Dawn Song, Weinan Zhang, Jun Wang
2025 C conf
An Analytical Approach to Signal Denoising Based on Singular Value Decomposition.
ACC
Ahmad S. Al-Tawaha, Ahmad M. Alshorman, Ming Jin, Mohammad Al Janaideh, Khaled F. Aljanaideh
2025 J jnl
Backtracking for Safety.
CoRR
Bilgehan Sel, Dingcheng Li, Phillip Wallis, Vaishakh Keshava, Ming Jin, Siddhartha Reddy Jonnalagadda
2025 J jnl
Detecting Zero-Day Attacks in Digital Substations via In-Context Learning.
CoRR
Faizan Manzoor, Vanshaj Khattar, Akila Herath, Clifton Black, Matthew C. Nielsen, Junho Hong, Chen-Ching Liu, Ming Jin
2025 — conf
DiPT: Enhancing LLM Reasoning through Diversified Perspective-Taking.
NAACL (Findings)
Hoang Anh Just, Mahavir Dabas, Lifu Huang, Ming Jin, Ruoxi Jia
2025 J jnl
Distributed Optimization and Distributed Learning: A Paradigm Shift for Power Systems.
IEEE Syst. J.
Ahmad Al-Tawaha, Elson Cibaku, SangWoo Park, Javad Lavaei, Ming Jin
2025 J jnl
Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond.
CoRR
Shangding Gu, Donghao Ying, Ming Jin, Yu Joe Lu, Jun Wang, Javad Lavaei, Costas J. Spanos
2025 A* conf
From Capabilities to Performance: Evaluating Key Functional Properties of LLM Architectures in Penetration Testing.
EMNLP
Lanxiao Huang, Daksh Dave, Tyler Cody, Peter A. Beling, Ming Jin
2025 J jnl
From Capabilities to Performance: Evaluating Key Functional Properties of LLM Architectures in Penetration Testing.
CoRR
Lanxiao Huang, Daksh Dave, Ming Jin, Tyler Cody, Peter A. Beling
2025 A conf
IP-FL: Incentive-Driven Personalization in Federated Learning.
IPDPS
Ahmad Faraz Khan, Xinran Wang, Qi Le, Zain ul Abdeen, Azal Ahmad Khan, Haider Ali, Ming Jin, Jie Ding, Ali Raza Butt, Ali Anwar
2025 — conf
Improving Novel Anomaly Detection with Domain-Invariant Latent Representations.
ECML/PKDD (1)
Padmaksha Roy, Ming Jin, Himanshu Singhal, Tyler Cody, Kevin Choi
2025 A* conf
Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning.
ICML
Mahavir Dabas, Si Chen, Charles Fleming, Ming Jin, Ruoxi Jia
2025 J jnl
Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning.
CoRR
Mahavir Dabas, Si Chen, Charles Fleming, Ming Jin, Ruoxi Jia
2025 A* conf
LLMs Can Plan Only If We Tell Them.
ICLR
Bilgehan Sel, Ruoxi Jia, Ming Jin
2025 J jnl
LLMs Can Plan Only If We Tell Them.
CoRR
Bilgehan Sel, Ruoxi Jia, Ming Jin
2025 A* conf
LLMs Can Reason Faster Only If We Let Them.
ICML
Bilgehan Sel, Lifu Huang, Naren Ramakrishnan, Ruoxi Jia, Ming Jin
2025 J jnl
Model Residuals as Shields: A Two-Level Formulation to Defend Smart Grids From Poisoning Attacks.
IEEE Internet Things J.
Tung-Wei Lin, Padmaksha Roy, Yi Zeng, Ming Jin, Ruoxi Jia, Chen-Ching Liu, Alberto L. Sangiovanni-Vincentelli
2025 C conf
Monte Carlo Grid Dynamic Programming: Almost Sure Convergence and Probability Constraints.
ACC
Mohammad S. Ramadan, Ahmad Al-Tawaha, Mohamed Shouman, Ahmed Atallah, Ming Jin
2025 — conf
Position: AI Safety Must Embrace an Antifragile Perspective.
ICML (Position Papers)
Ming Jin, Hyunin Lee
2025 J jnl
Position: AI Safety Must Embrace an Antifragile Perspective.
CoRR
Ming Jin, Hyunin Lee
2025 J jnl
Probing Knowledge Holes in Unlearned LLMs.
CoRR
Myeongseob Ko, Hoang Anh Just, Charles Fleming, Ming Jin, Ruoxi Jia
2025 A* conf
Retracing the Past: LLMs Emit Training Data When They Get Lost.
EMNLP
Myeongseob Ko, Nikhil Reddy Billa, Adam Nguyen, Charles Fleming, Ming Jin, Ruoxi Jia
2025 J jnl
Retracing the Past: LLMs Emit Training Data When They Get Lost.
CoRR
Myeongseob Ko, Nikhil Reddy Billa, Adam Nguyen, Charles Fleming, Ming Jin, Ruoxi Jia
2025 J jnl
Reward-Safety Balance in Offline Safe RL via Diffusion Regularization.
CoRR
Junyu Guo, Zhi Zheng, Donghao Ying, Ming Jin, Shangding Gu, Costas J. Spanos, Javad Lavaei
2025 A* conf
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning.
ICLR
Shangding Gu, Laixi Shi, Muning Wen, Ming Jin, Eric Mazumdar, Yuejie Chi, Adam Wierman, Costas J. Spanos
2025 J jnl
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning.
CoRR
Shangding Gu, Laixi Shi, Muning Wen, Ming Jin, Eric Mazumdar, Yuejie Chi, Adam Wierman, Costas J. Spanos
2025 J jnl
Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Alois Knoll, Ming Jin
2025 J jnl
StyleBench: Evaluating thinking styles in Large Language Models.
CoRR
Junyu Guo, Shangding Gu, Ming Jin, Costas J. Spanos, Javad Lavaei
2025 A* conf
Sycophancy Mitigation Through Reinforcement Learning with Uncertainty-Aware Adaptive Reasoning Trajectories.
EMNLP
Mohammad Beigi, Ying Shen, Parshin Shojaee, Qifan Wang, Zichao Wang, Chandan K. Reddy, Ming Jin, Lifu Huang
2025 J jnl
Sycophancy Mitigation Through Reinforcement Learning with Uncertainty-Aware Adaptive Reasoning Trajectories.
CoRR
Mohammad Beigi, Ying Shen, Parshin Shojaee, Qifan Wang, Zichao Wang, Chandan K. Reddy, Ming Jin, Lifu Huang
2024 J jnl
A Black Swan Hypothesis in Markov Decision Process via Irrationality.
CoRR
Hyunin Lee, David Abel, Ming Jin, Javad Lavaei, Somayeh Sojoudi
2024 J jnl
A CMDP-within-online framework for Meta-Safe Reinforcement Learning.
CoRR
Vanshaj Khattar, Yuhao Ding, Bilgehan Sel, Javad Lavaei, Ming Jin
2024 A* conf
Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models.
ICML
Bilgehan Sel, Ahmad Al-Tawaha, Vanshaj Khattar, Ruoxi Jia, Ming Jin
2024 A* conf
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation.
AAAI
Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Ming Jin, Alois Knoll
2024 J jnl
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation.
CoRR
Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Ming Jin, Alois Knoll
2024 A* conf
Boosting Alignment for Post-Unlearning Text-to-Image Generative Models.
NeurIPS
Myeongseob Ko, Henry Li, Zhun Wang, Jonathan Patsenker, Jiachen T. Wang, Qinbin Li, Ming Jin, Dawn Song, Ruoxi Jia
2024 J jnl
Boosting Alignment for Post-Unlearning Text-to-Image Generative Models.
CoRR
Myeongseob Ko, Henry Li, Zhun Wang, Jonathan Patsenker, Jiachen T. Wang, Qinbin Li, Ming Jin, Dawn Song, Ruoxi Jia
2024 A* conf
Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization?
EMNLP
Jianfeng He, Runing Yang, Linlin Yu, Changbin Li, Ruoxi Jia, Feng Chen, Ming Jin, Chang-Tien Lu
2024 J jnl
Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization?
CoRR
Jianfeng He, Runing Yang, Linlin Yu, Changbin Li, Ruoxi Jia, Feng Chen, Ming Jin, Chang-Tien Lu
2024 J jnl
Data-Centric Defense: Shaping Loss Landscape with Augmentations to Counter Model Inversion.
Trans. Mach. Learn. Res.
Si Chen, Feiyang Kang, Nikhil Abhyankar, Ming Jin, Ruoxi Jia
2024 J jnl
Data-Centric Human Preference Optimization with Rationales.
CoRR
Hoang Anh Just, Ming Jin, Anit Kumar Sahu, Huy Phan, Ruoxi Jia
2024 J jnl
Defense against Joint Poison and Evasion Attacks: A Case Study of DERMS.
CoRR
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
2024 — conf
Democratizing Energy Management with LLM-Assisted Optimization Autoformalism.
SmartGridComm
Ming Jin, Bilgehan Sel, Fnu Hardeep, Wotao Yin
2024 J jnl
DiPT: Enhancing LLM reasoning through diversified perspective-taking.
CoRR
Hoang Anh Just, Mahavir Dabas, Lifu Huang, Ming Jin, Ruoxi Jia
2024 C conf
Does Online Gradient Descent (and Variants) Still Work with Biased Gradient and Variance?
ACC
Ahmad Al-Tawaha, Ming Jin
2024 — conf
Enhancing Distribution System Resilience: A First-Order Meta-RL algorithm for Critical Load Restoration.
SmartGridComm
Zain ul Abdeen, Xiangyu Zhang, Waris Gill, Ming Jin
2024 A* conf
Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation.
NeurIPS
Shangding Gu, Laixi Shi, Yuhao Ding, Alois Knoll, Costas J. Spanos, Adam Wierman, Ming Jin
2024 J jnl
Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation.
CoRR
Shangding Gu, Laixi Shi, Yuhao Ding, Alois Knoll, Costas J. Spanos, Adam Wierman, Ming Jin
2024 A* conf
Fairness-Aware Meta-Learning via Nash Bargaining.
NeurIPS
Yi Zeng, Xuelin Yang, Li Chen, Cristian Canton Ferrer, Ming Jin, Michael I. Jordan, Ruoxi Jia
2024 J jnl
Fairness-Aware Meta-Learning via Nash Bargaining.
CoRR
Yi Zeng, Xuelin Yang, Li Chen, Cristian Canton Ferrer, Ming Jin, Michael I. Jordan, Ruoxi Jia
2024 J jnl
InternalInspector I
CoRR
Mohammad Beigi, Ying Shen, Runing Yang, Zihao Lin, Qifan Wang, Ankith Mohan, Jianfeng He, Ming Jin, Chang-Tien Lu, Lifu Huang
2024 — conf
InternalInspector I²: Robust Confidence Estimation in LLMs through Internal States.
EMNLP (Findings)
Mohammad Beigi, Ying Shen, Runing Yang, Zihao Lin, Qifan Wang, Ankith Mohan, Jianfeng He, Ming Jin, Chang-Tien Lu, Lifu Huang
2024 — conf
Latent Space Correlation-Aware Autoencoder for Anomaly Detection in Skewed Data.
PAKDD (1)
Padmaksha Roy, Himanshu Singhal, Timothy J. O'Shea, Ming Jin
2024 C conf
Optimization Solution Functions as Deterministic Policies for Offline Reinforcement Learning.
ACC
Vanshaj Khattar, Ming Jin
2024 J jnl
Optimization Solution Functions as Deterministic Policies for Offline Reinforcement Learning.
CoRR
Vanshaj Khattar, Ming Jin
2024 A* conf
Pausing Policy Learning in Non-stationary Reinforcement Learning.
ICML
Hyunin Lee, Ming Jin, Javad Lavaei, Somayeh Sojoudi
2024 J jnl
Pausing Policy Learning in Non-stationary Reinforcement Learning.
CoRR
Hyunin Lee, Ming Jin, Javad Lavaei, Somayeh Sojoudi
2024 J jnl
Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models.
CoRR
Mohammad Beigi, Sijia Wang, Ying Shen, Zihao Lin, Adithya Kulkarni, Jianfeng He, Feng Chen, Ming Jin, Jin-Hee Cho, Dawei Zhou, Chang-Tien Lu, Lifu Huang
2024 J jnl
Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning.
CoRR
Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Alois Knoll, Ming Jin
2024 — conf
Simulation and Analysis of Cyber Attacks on Power and Energy Systems.
ISGT
Zachary A. Ruttle, Baza Somda, Chen-Ching Liu, Ming Jin
2024 — conf
Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in LLMs.
ACL (1)
Bilgehan Sel, Priya Shanmugasundaram, Mohammad Kachuee, Kun Zhou, Ruoxi Jia, Ming Jin
2024 J jnl
Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in LLMs.
CoRR
Bilgehan Sel, Priya Shanmugasundaram, Mohammad Kachuee, Kun Zhou, Ruoxi Jia, Ming Jin
2024 J jnl
TeaMs-RL: Teaching LLMs to Generate Better Instruction Datasets via Reinforcement Learning.
Trans. Mach. Learn. Res.
Shangding Gu, Alois Knoll, Ming Jin
2024 J jnl
TeaMs-RL: Teaching LLMs to Teach Themselves Better Instructions via Reinforcement Learning.
CoRR
Shangding Gu, Alois Knoll, Ming Jin
2024 A* conf
The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes.
CVPR
Myeongseob Ko, Feiyang Kang, Weiyan Shi, Ming Jin, Zhou Yu, Ruoxi Jia
2024 J jnl
The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes.
CoRR
Myeongseob Ko, Feiyang Kang, Weiyan Shi, Ming Jin, Zhou Yu, Ruoxi Jia
2024 — conf
Zero-day Attack Detection in Digital Substations using In-Context Learning.
SmartGridComm
Faizan Manzoor, Vanshaj Khattar, Chen-Ching Liu, Ming Jin
2023 A* conf
A CMDP-within-online framework for Meta-Safe Reinforcement Learning.
ICLR
Vanshaj Khattar, Yuhao Ding, Bilgehan Sel, Javad Lavaei, Ming Jin
2023 J jnl
A Human-on-the-Loop Optimization Autoformalism Approach for Sustainability.
CoRR
Ming Jin, Bilgehan Sel, Fnu Hardeep, Wotao Yin
2023 J jnl
Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models.
CoRR
Bilgehan Sel, Ahmad Al-Tawaha, Vanshaj Khattar, Lu Wang, Ruoxi Jia, Ming Jin
2023 J jnl
Certifiably Robust Neural ODE With Learning-Based Barrier Function.
IEEE Control. Syst. Lett.
Runing Yang, Ruoxi Jia, Xiangyu Zhang, Ming Jin
2023 J jnl
Dynamic Regret Bounds for Constrained Online Nonconvex Optimization Based on Polyak-Lojasiewicz Regions.
IEEE Trans. Control. Netw. Syst.
Julie Mulvaney-Kemp, SangWoo Park, Ming Jin, Javad Lavaei
2023 J jnl
Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space.
CoRR
Padmaksha Roy, Tyler Cody, Himanshu Singhal, Kevin Choi, Ming Jin
2023 A* conf
LAVA: Data Valuation without Pre-Specified Learning Algorithms.
ICLR
Hoang Anh Just, Feiyang Kang, Tianhao Wang, Yi Zeng, Myeongseob Ko, Ming Jin, Ruoxi Jia
2023 J jnl
LAVA: Data Valuation without Pre-Specified Learning Algorithms.
CoRR
Hoang Anh Just, Feiyang Kang, Jiachen T. Wang, Yi Zeng, Myeongseob Ko, Ming Jin, Ruoxi Jia
2023 — conf
Learning-to-Learn to Guide Random Search: Derivative-Free Meta Blackbox Optimization on Manifold.
L4DC
Bilgehan Sel, Ahmad Al-Tawaha, Yuhao Ding, Ruoxi Jia, Bo Ji, Javad Lavaei, Ming Jin
2023 A* conf
Meta-Sift: How to Sift Out a Clean Subset in the Presence of Data Poisoning?
USENIX Security Symposium
Yi Zeng, Minzhou Pan, Himanshu Jahagirdar, Ming Jin, Lingjuan Lyu, Ruoxi Jia
2023 A* conf
Non-stationary Risk-Sensitive Reinforcement Learning: Near-Optimal Dynamic Regret, Adaptive Detection, and Separation Design.
AAAI
Yuhao Ding, Ming Jin, Javad Lavaei
2023 A* conf
On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds.
AAAI
Ming Jin, Vanshaj Khattar, Harshal Kaushik, Bilgehan Sel, Ruoxi Jia
2023 A* conf
Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study.
ICCV
Myeongseob Ko, Ming Jin, Chenguang Wang, Ruoxi Jia
2023 J jnl
Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study.
CoRR
Myeongseob Ko, Ming Jin, Chenguang Wang, Ruoxi Jia
2023 — conf
TUNEOPT: An Evolutionary Reinforcement Learning HVAC Controller For Energy-Comfort Optimization Tuning.
BuildSys
Mostafa Meimand, Vanshaj Khattar, Zahra Yazdani, Farrokh Jazizadeh, Ming Jin
2023 A* conf
Tempo Adaptation in Non-stationary Reinforcement Learning.
NeurIPS
Hyunin Lee, Yuhao Ding, Jongmin Lee, Ming Jin, Javad Lavaei, Somayeh Sojoudi
2023 J jnl
Tempo Adaption in Non-stationary Reinforcement Learning.
CoRR
Hyunin Lee, Yuhao Ding, Jongmin Lee, Ming Jin, Javad Lavaei, Somayeh Sojoudi
2023 A* conf
Towards Robustness Certification Against Universal Perturbations.
ICLR
Yi Zeng, Zhouxing Shi, Ming Jin, Feiyang Kang, Lingjuan Lyu, Cho-Jui Hsieh, Ruoxi Jia
2023 A* conf
Winning the CityLearn Challenge: Adaptive Optimization with Evolutionary Search under Trajectory-Based Guidance.
AAAI
Vanshaj Khattar, Ming Jin
2022 A* conf
Adversarial Unlearning of Backdoors via Implicit Hypergradient.
ICLR
Yi Zeng, Si Chen, Won Park, Zhuoqing Mao, Ming Jin, Ruoxi Jia
2022 J jnl
Controlling Smart Inverters Using Proxies: A Chance-Constrained DNN-Based Approach.
IEEE Trans. Smart Grid
Sarthak Gupta, Vassilis Kekatos, Ming Jin
2022 J jnl
How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?
CoRR
Yi Zeng, Minzhou Pan, Himanshu Jahagirdar, Ming Jin, Lingjuan Lyu, Ruoxi Jia
2022 J jnl
Imitation Learning With Stability and Safety Guarantees.
IEEE Control. Syst. Lett.
He Yin, Peter J. Seiler, Ming Jin, Murat Arcak
2022 C conf
Learning Neural Networks under Input-Output Specifications.
ACC
Zain ul Abdeen, He Yin, Vassilis Kekatos, Ming Jin
2022 J jnl
Learning Neural Networks under Input-Output Specifications.
CoRR
Zain ul Abdeen, He Yin, Vassilis Kekatos, Ming Jin
2022 J jnl
Non-stationary Risk-sensitive Reinforcement Learning: Near-optimal Dynamic Regret, Adaptive Detection, and Separation Design.
CoRR
Yuhao Ding, Ming Jin, Javad Lavaei
2022 J jnl
On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds.
CoRR
Ming Jin, Vanshaj Khattar, Harshal Kaushik, Bilgehan Sel, Ruoxi Jia
2022 A* conf
Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems.
AAAI
Fangda Gu, He Yin, Laurent El Ghaoui, Murat Arcak, Peter J. Seiler, Ming Jin
2022 J jnl
Winning the CityLearn Challenge: Adaptive Optimization with Evolutionary Search under Trajectory-based Guidance.
CoRR
Vanshaj Khattar, Ming Jin
2021 J jnl
A Unified Framework for Task-Driven Data Quality Management.
CoRR
Tianhao Wang, Yi Zeng, Ming Jin, Ruoxi Jia
2021 J jnl
Adversarial Unlearning of Backdoors via Implicit Hypergradient.
CoRR
Yi Zeng, Si Chen, Won Park, Z. Morley Mao, Ming Jin, Ruoxi Jia
2021 J jnl
Boundary Defense Against Cyber Threat for Power System State Estimation.
IEEE Trans. Inf. Forensics Secur.
Ming Jin, Javad Lavaei, Somayeh Sojoudi, Ross Baldick
2021 J jnl
Controlling Smart Inverters using Proxies: A Chance-Constrained DNN-based Approach.
CoRR
Sarthak Gupta, Vassilis Kekatos, Ming Jin
2021 C conf
Diminishing Regret for Online Nonconvex Optimization.
ACC
SangWoo Park, Julie Mulvaney-Kemp, Ming Jin, Javad Lavaei
2021 A* conf
Power up! Robust Graph Convolutional Network via Graph Powering.
AAAI
Ming Jin, Heng Chang, Wenwu Zhu, Somayeh Sojoudi
2021 J jnl
Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems.
CoRR
Fangda Gu, He Yin, Laurent El Ghaoui, Murat Arcak, Peter J. Seiler, Ming Jin
2020 J jnl
A survey on conic relaxations of optimal power flow problem.
Eur. J. Oper. Res.
Fariba Zohrizadeh, Cédric Josz, Ming Jin, Ramtin Madani, Javad Lavaei, Somayeh Sojoudi
2020 — conf
Deep Learning for Reactive Power Control of Smart Inverters under Communication Constraints.
SmartGridComm
Sarthak Gupta, Vassilis Kekatos, Ming Jin
2020 J jnl
Imitation Learning with Stability and Safety Guarantees.
CoRR
He Yin, Peter J. Seiler, Ming Jin, Murat Arcak
2020 J jnl
Scalable and Robust State Estimation From Abundant But Untrusted Data.
IEEE Trans. Smart Grid
Ming Jin, Igor Molybog, Reza Mohammadi-Ghazi, Javad Lavaei
2020 J jnl
Stability-Certified Reinforcement Learning: A Control-Theoretic Perspective.
IEEE Access
Ming Jin, Javad Lavaei
2019 J jnl
Power Grid AC-Based State Estimation: Vulnerability Analysis Against Cyber Attacks.
IEEE Trans. Autom. Control.
Ming Jin, Javad Lavaei, Karl Henrik Johansson
2019 J jnl
Power up! Robust Graph Convolutional Network against Evasion Attacks based on Graph Powering.
CoRR
Ming Jin, Heng Chang, Wenwu Zhu, Somayeh Sojoudi
2019 — conf
Towards Robust and Scalable Power System State Estimation.
CDC
Ming Jin, Igor Molybog, Reza Mohammadi-Ghazi, Javad Lavaei
2018 J jnl
A Robust Utility Learning Framework via Inverse Optimization.
IEEE Trans. Control. Syst. Technol.
Ioannis C. Konstantakopoulos, Lillian J. Ratliff, Ming Jin, S. Shankar Sastry, Costas J. Spanos
2018 J jnl
Building-in-Briefcase: A Rapidly-Deployable Environmental Sensor Suite for the Smart Building.
Sensors
Kevin Weekly, Ming Jin, Han Zou, Christopher Hsu, Chris Soyza, Alexandre M. Bayen, Costas J. Spanos
2018 — conf
Control-Theoretic Analysis of Smoothness for Stability-Certified Reinforcement Learning.
CDC
Ming Jin, Javad Lavaei
2018 J jnl
Design Automation for Smart Building Systems.
Proc. IEEE
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
2018 J jnl
Occupancy Detection via Environmental Sensing.
IEEE Trans Autom. Sci. Eng.
Ming Jin, Nikolaos Bekiaris-Liberis, Kevin Weekly, Costas J. Spanos, Alexandre M. Bayen
2018 J jnl
Stability-certified reinforcement learning: A control-theoretic perspective.
CoRR
Ming Jin, Javad Lavaei
2017 J jnl
A Robust Utility Learning Framework via Inverse Optimization.
CoRR
Ioannis C. Konstantakopoulos, Lillian J. Ratliff, Ming Jin, S. Shankar Sastry, Costas J. Spanos
2017 — conf
A semidefinite programming relaxation under false data injection attacks against power grid AC state estimation.
Allerton
Ming Jin, Javad Lavaei, Karl Henrik Johansson
2017 — —
Data-efficient Analytics for Optimal Human-Cyber-Physical Systems.
Ming Jin
2017 — conf
Indoor environmental quality monitoring by autonomous mobile sensing.
BuildSys
Ming Jin, Shichao Liu, Yulun Tian, Mingjian Lu, Stefano Schiavon, Costas J. Spanos
2017 A conf
Inverse Reinforcement Learning via Deep Gaussian Process.
UAI
Ming Jin, Andreas C. Damianou, Pieter Abbeel, Costas J. Spanos
2017 C conf
Leveraging correlations in utility learning.
ACC
Ioannis C. Konstantakopoulos, Lillian J. Ratliff, Ming Jin, Costas J. Spanos
2017 J jnl
Virtual Occupancy Sensing: Using Smart Meters to Indicate Your Presence.
IEEE Trans. Mob. Comput.
Ming Jin, Ruoxi Jia, Costas J. Spanos
2017 J jnl
WinIPS: WiFi-Based Non-Intrusive Indoor Positioning System With Online Radio Map Construction and Adaptation.
IEEE Trans. Wirel. Commun.
Han Zou, Ming Jin, Hao Jiang, Lihua Xie, Costas J. Spanos
2016 — conf
Inverse modeling of non-cooperative agents via mixture of utilities.
CDC
Ioannis C. Konstantakopoulos, Lillian J. Ratliff, Ming Jin, Costas J. Spanos, S. Shankar Sastry
2016 J jnl
MapSentinel: Can the Knowledge of Space Use Improve Indoor Tracking Further?
Sensors
Ruoxi Jia, Ming Jin, Han Zou, Yigitcan Yesilata, Lihua Xie, Costas J. Spanos
2016 C conf
MetroEye: Smart Tracking Your Metro Trips Underground.
MobiQuitous
Weixi Gu, Ming Jin, Zimu Zhou, Costas J. Spanos, Lin Zhang
2016 — conf
MetroEye: towards fine-grained passenger tracking underground.
UbiComp Adjunct
Weixi Gu, Ming Jin, Zimu Zhou, Costas J. Spanos, Lin Zhang
2016 — conf
WinIPS: WiFi-based non-intrusive IPS for online radio map construction.
INFOCOM Workshops
Han Zou, Ming Jin, Hao Jiang, Lihua Xie, Costas J. Spanos
2015 — conf
BRIEF: Bayesian Regression of Infinite Expert Forecasters for single and multiple time series prediction.
CDC
Ming Jin, Costas J. Spanos
2015 J jnl
Inverse Reinforcement Learning via Deep Gaussian Process.
CoRR
Ming Jin, Costas J. Spanos
2015 J jnl
Modeling and Estimation of the Humans' Effect on the CO
IEEE Trans. Control. Syst. Technol.
Kevin Weekly, Nikolaos Bekiaris-Liberis, Ming Jin, Alexandre M. Bayen
2015 — conf
Poster Abstract: MapSentinel: Map-Aided Non-intrusive Indoor Tracking in Sensor-Rich Environments.
BuildSys
Ruoxi Jia, Ming Jin, Han Zou, Yigitcan Yesilata, Lihua Xie, Costas J. Spanos
2015 — conf
Power prediction through energy consumption pattern recognition for smart buildings.
CASE
Ming Jin, Lin Zhang, Costas J. Spanos
2015 — conf
REST: a reliable estimation of stopping time algorithm for social game experiments.
ICCPS
Ming Jin, Lillian J. Ratliff, Ioannis C. Konstantakopoulos, Costas J. Spanos, Shankar Sastry
2015 — conf
SoundLoc: Accurate room-level indoor localization using acoustic signatures.
CASE
Ruoxi Jia, Ming Jin, Zilong Chen, Costas J. Spanos
2014 J jnl
Building-in-Briefcase (BiB).
CoRR
Kevin Weekly, Ming Jin, Han Zou, Christopher Hsu, Alexandre M. Bayen, Costas J. Spanos
2014 J jnl
Environmental Sensing by Wearable Device for Indoor Activity and Location Estimation.
CoRR
Ming Jin, Han Zou, Kevin Weekly, Ruoxi Jia, Alexandre M. Bayen, Costas J. Spanos
2014 C conf
Environmental sensing by wearable device for indoor activity and location estimation.
IECON
Ming Jin, Han Zou, Kevin Weekly, Ruoxi Jia, Alexandre M. Bayen, Costas J. Spanos
2014 C conf
Modeling of end-use energy profile: An appliance-data-driven stochastic approach.
IECON
Zhaoyi Kang, Ming Jin, Costas J. Spanos
2014 J jnl
PresenceSense: Zero-training Algorithm for Individual Presence Detection based on Power Monitoring.
CoRR
Ming Jin, Ruoxi Jia, Zhaoyi Kang, Ioannis C. Konstantakopoulos, Costas J. Spanos
2014 — conf
PresenceSense: zero-training algorithm for individual presence detection based on power monitoring.
BuildSys
Ming Jin, Ruoxi Jia, Zhaoyi Kang, Ioannis C. Konstantakopoulos, Costas J. Spanos
2014 J jnl
Social Game for Building Energy Efficiency: Utility Learning, Simulation, and Analysis.
CoRR
Ioannis C. Konstantakopoulos, Lillian J. Ratliff, Ming Jin, S. Shankar Sastry, Costas J. Spanos
2014 — conf
Social game for building energy efficiency: Incentive design.
Allerton
Lillian J. Ratliff, Ming Jin, Ioannis C. Konstantakopoulos, Costas J. Spanos, S. Shankar Sastry
2014 J jnl
SoundLoc: Acoustic Method for Indoor Localization without Infrastructure.
CoRR
Ruoxi Jia, Ming Jin, Costas J. Spanos