Social game for building energy efficiency: Incentive design. - Lillian J. Ratliff; Ming Jin 002; Ioannis C. Konstantakopoulos; Costas J. Spanos; S. Shankar Sastry (Allerton, 2014)

Environmental sensing by wearable device for indoor activity and location estimation. - Ming Jin 002; Han Zou; Kevin Weekly; Ruoxi Jia 001; Alexandre M. Bayen; Costas J. Spanos (IECON, 2014)

Modeling of end-use energy profile: An appliance-data-driven stochastic approach. - Zhaoyi Kang; Ming Jin 002; Costas J. Spanos (IECON, 2014)

PresenceSense: zero-training algorithm for individual presence detection based on power monitoring. - Ming Jin 002; Ruoxi Jia 001; Zhaoyi Kang; Ioannis C. Konstantakopoulos; Costas J. Spanos (BuildSys, 2014)

SoundLoc: Acoustic Method for Indoor Localization without Infrastructure. - Ruoxi Jia 001; Ming Jin 002; Costas J. Spanos (CoRR, 2014)

Social Game for Building Energy Efficiency: Utility Learning, Simulation, and Analysis. - Ioannis C. Konstantakopoulos; Lillian J. Ratliff; Ming Jin 002; S. Shankar Sastry; Costas J. Spanos (CoRR, 2014)

Building-in-Briefcase (BiB). - Kevin Weekly; Ming Jin 002; Han Zou; Christopher Hsu; Alexandre M. Bayen; Costas J. Spanos (CoRR, 2014)

SoundLoc: Accurate room-level indoor localization using acoustic signatures. - Ruoxi Jia 001; Ming Jin 002; Zilong Chen; Costas J. Spanos (CASE, 2015)

Power prediction through energy consumption pattern recognition for smart buildings. - Ming Jin 002; Lin Zhang 001; Costas J. Spanos (CASE, 2015)

BRIEF: Bayesian Regression of Infinite Expert Forecasters for single and multiple time series prediction. - Ming Jin 002; Costas J. Spanos (CDC, 2015)

REST: a reliable estimation of stopping time algorithm for social game experiments. - Ming Jin 002; Lillian J. Ratliff; Ioannis C. Konstantakopoulos; Costas J. Spanos; Shankar Sastry 001 (ICCPS, 2015)

Poster Abstract: MapSentinel: Map-Aided Non-intrusive Indoor Tracking in Sensor-Rich Environments. - Ruoxi Jia 001; Ming Jin 002; Han Zou; Yigitcan Yesilata; Lihua Xie 001; Costas J. Spanos (BuildSys, 2015)

Inverse Reinforcement Learning via Deep Gaussian Process. - Ming Jin 002; Costas J. Spanos (CoRR, 2015)

Modeling and Estimation of the Humans' Effect on the CO2 Dynamics Inside a Conference Room. - Kevin Weekly; Nikolaos Bekiaris-Liberis; Ming Jin 002; Alexandre M. Bayen (IEEE Trans. Control. Syst. Technol., 2015)

Inverse modeling of non-cooperative agents via mixture of utilities. - Ioannis C. Konstantakopoulos; Lillian J. Ratliff; Ming Jin 002; Costas J. Spanos; S. Shankar Sastry (CDC, 2016)

MetroEye: towards fine-grained passenger tracking underground. - Weixi Gu; Ming Jin 002; Zimu Zhou; Costas J. Spanos; Lin Zhang 001 (UbiComp Adjunct, 2016)

WinIPS: WiFi-based non-intrusive IPS for online radio map construction. - Han Zou; Ming Jin 002; Hao Jiang 008; Lihua Xie 001; Costas J. Spanos (INFOCOM Workshops, 2016)

MetroEye: Smart Tracking Your Metro Trips Underground. - Weixi Gu; Ming Jin 002; Zimu Zhou; Costas J. Spanos; Lin Zhang 001 (MobiQuitous, 2016)

MapSentinel: Can the Knowledge of Space Use Improve Indoor Tracking Further? - Ruoxi Jia 001; Ming Jin 002; Han Zou; Yigitcan Yesilata; Lihua Xie 001; Costas J. Spanos (Sensors, 2016)

A semidefinite programming relaxation under false data injection attacks against power grid AC state estimation. - Ming Jin 002; Javad Lavaei; Karl Henrik Johansson (Allerton, 2017)

Leveraging correlations in utility learning. - Ioannis C. Konstantakopoulos; Lillian J. Ratliff; Ming Jin 002; Costas J. Spanos (ACC, 2017)

Indoor environmental quality monitoring by autonomous mobile sensing. - Ming Jin 002; Shichao Liu 005; Yulun Tian; Mingjian Lu; Stefano Schiavon; Costas J. Spanos (BuildSys, 2017)

Inverse Reinforcement Learning via Deep Gaussian Process. - Ming Jin 002; Andreas C. Damianou; Pieter Abbeel; Costas J. Spanos (UAI, 2017)

Virtual Occupancy Sensing: Using Smart Meters to Indicate Your Presence. - Ming Jin 002; Ruoxi Jia 001; Costas J. Spanos (IEEE Trans. Mob. Comput., 2017)

WinIPS: WiFi-Based Non-Intrusive Indoor Positioning System With Online Radio Map Construction and Adaptation. - Han Zou; Ming Jin 002; Hao Jiang 008; Lihua Xie 001; Costas J. Spanos (IEEE Trans. Wirel. Commun., 2017)

Data-efficient Analytics for Optimal Human-Cyber-Physical Systems. - Ming Jin 002 (2017)

Control-Theoretic Analysis of Smoothness for Stability-Certified Reinforcement Learning. - Ming Jin 002; Javad Lavaei (CDC, 2018)

Design Automation for Smart Building Systems. - Ruoxi Jia 001; Baihong Jin; Ming Jin 002; Yuxun Zhou; Ioannis C. Konstantakopoulos; Han Zou; Joyce Kim; Dan Li 016; Weixi Gu; Reza Arghandeh; Pierluigi Nuzzo 002; Stefano Schiavon; et al. (Proc. IEEE, 2018)

Building-in-Briefcase: A Rapidly-Deployable Environmental Sensor Suite for the Smart Building. - Kevin Weekly; Ming Jin 002; Han Zou; Christopher Hsu; Chris Soyza; Alexandre M. Bayen; Costas J. Spanos (Sensors, 2018)

Occupancy Detection via Environmental Sensing. - Ming Jin 002; Nikolaos Bekiaris-Liberis; Kevin Weekly; Costas J. Spanos; Alexandre M. Bayen (IEEE Trans Autom. Sci. Eng., 2018)

A Robust Utility Learning Framework via Inverse Optimization. - Ioannis C. Konstantakopoulos; Lillian J. Ratliff; Ming Jin 002; S. Shankar Sastry; Costas J. Spanos (IEEE Trans. Control. Syst. Technol., 2018)

Towards Robust and Scalable Power System State Estimation. - Ming Jin 002; Igor Molybog; Reza Mohammadi-Ghazi; Javad Lavaei (CDC, 2019)

Power up! Robust Graph Convolutional Network against Evasion Attacks based on Graph Powering. - Ming Jin 002; Heng Chang; Wenwu Zhu 001; Somayeh Sojoudi (CoRR, 2019)

Power Grid AC-Based State Estimation: Vulnerability Analysis Against Cyber Attacks. - Ming Jin 002; Javad Lavaei; Karl Henrik Johansson (IEEE Trans. Autom. Control., 2019)

Deep Learning for Reactive Power Control of Smart Inverters under Communication Constraints. - Sarthak Gupta; Vassilis Kekatos; Ming Jin 002 (SmartGridComm, 2020)

Stability-Certified Reinforcement Learning: A Control-Theoretic Perspective. - Ming Jin 002; Javad Lavaei (IEEE Access, 2020)

A survey on conic relaxations of optimal power flow problem. - Fariba Zohrizadeh; Cédric Josz; Ming Jin 002; Ramtin Madani; Javad Lavaei; Somayeh Sojoudi (Eur. J. Oper. Res., 2020)

Scalable and Robust State Estimation From Abundant But Untrusted Data. - Ming Jin 002; Igor Molybog; Reza Mohammadi-Ghazi; Javad Lavaei (IEEE Trans. Smart Grid, 2020)

Power up! Robust Graph Convolutional Network via Graph Powering. - Ming Jin 002; Heng Chang; Wenwu Zhu 001; Somayeh Sojoudi (AAAI, 2021)

Diminishing Regret for Online Nonconvex Optimization. - SangWoo Park 004; Julie Mulvaney-Kemp; Ming Jin 002; Javad Lavaei (ACC, 2021)

A Unified Framework for Task-Driven Data Quality Management. - Tianhao Wang 013; Yi Zeng 005; Ming Jin 002; Ruoxi Jia 001 (CoRR, 2021)

Boundary Defense Against Cyber Threat for Power System State Estimation. - Ming Jin 002; Javad Lavaei; Somayeh Sojoudi; Ross Baldick (IEEE Trans. Inf. Forensics Secur., 2021)

Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems. - Fangda Gu; He Yin; Laurent El Ghaoui; Murat Arcak; Peter J. Seiler; Ming Jin 002 (AAAI, 2022)

Learning Neural Networks under Input-Output Specifications. - Zain ul Abdeen; He Yin; Vassilis Kekatos; Ming Jin 002 (ACC, 2022)

Adversarial Unlearning of Backdoors via Implicit Hypergradient. - Yi Zeng 005; Si Chen 008; Won Park; Zhuoqing Mao 001; Ming Jin 002; Ruoxi Jia 001 (ICLR, 2022)

How to Sift Out a Clean Data Subset in the Presence of Data Poisoning? - Yi Zeng 005; Minzhou Pan; Himanshu Jahagirdar; Ming Jin 002; Lingjuan Lyu; Ruoxi Jia 001 (CoRR, 2022)

Imitation Learning With Stability and Safety Guarantees. - He Yin; Peter J. Seiler; Ming Jin 002; Murat Arcak (IEEE Control. Syst. Lett., 2022)

Controlling Smart Inverters Using Proxies: A Chance-Constrained DNN-Based Approach. - Sarthak Gupta; Vassilis Kekatos; Ming Jin 002 (IEEE Trans. Smart Grid, 2022)

On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds. - Ming Jin 002; Vanshaj Khattar; Harshal Kaushik; Bilgehan Sel; Ruoxi Jia 001 (AAAI, 2023)

Non-stationary Risk-Sensitive Reinforcement Learning: Near-Optimal Dynamic Regret, Adaptive Detection, and Separation Design. - Yuhao Ding; Ming Jin 002; Javad Lavaei (AAAI, 2023)

Winning the CityLearn Challenge: Adaptive Optimization with Evolutionary Search under Trajectory-Based Guidance. - Vanshaj Khattar; Ming Jin 002 (AAAI, 2023)

Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study. - Myeongseob Ko; Ming Jin 002; Chenguang Wang 001; Ruoxi Jia 001 (ICCV, 2023)

LAVA: Data Valuation without Pre-Specified Learning Algorithms. - Hoang Anh Just; Feiyang Kang; Tianhao Wang 013; Yi Zeng 005; Myeongseob Ko; Ming Jin 002; Ruoxi Jia 001 (ICLR, 2023)

A CMDP-within-online framework for Meta-Safe Reinforcement Learning. - Vanshaj Khattar; Yuhao Ding; Bilgehan Sel; Javad Lavaei; Ming Jin 002 (ICLR, 2023)

Towards Robustness Certification Against Universal Perturbations. - Yi Zeng 005; Zhouxing Shi; Ming Jin 002; Feiyang Kang; Lingjuan Lyu; Cho-Jui Hsieh; Ruoxi Jia 001 (ICLR, 2023)

Learning-to-Learn to Guide Random Search: Derivative-Free Meta Blackbox Optimization on Manifold. - Bilgehan Sel; Ahmad Al-Tawaha; Yuhao Ding; Ruoxi Jia 001; Bo Ji 001; Javad Lavaei; Ming Jin 002 (L4DC, 2023)

Tempo Adaptation in Non-stationary Reinforcement Learning. - Hyunin Lee; Yuhao Ding; Jongmin Lee; Ming Jin 002; Javad Lavaei; Somayeh Sojoudi (NeurIPS, 2023)

TUNEOPT: An Evolutionary Reinforcement Learning HVAC Controller For Energy-Comfort Optimization Tuning. - Mostafa Meimand; Vanshaj Khattar; Zahra Yazdani; Farrokh Jazizadeh; Ming Jin 002 (BuildSys, 2023)

Meta-Sift: How to Sift Out a Clean Subset in the Presence of Data Poisoning? - Yi Zeng 005; Minzhou Pan; Himanshu Jahagirdar; Ming Jin 002; Lingjuan Lyu; Ruoxi Jia 001 (USENIX Security Symposium, 2023)

LAVA: Data Valuation without Pre-Specified Learning Algorithms. - Hoang Anh Just; Feiyang Kang; Jiachen T. Wang; Yi Zeng 005; Myeongseob Ko; Ming Jin 002; Ruoxi Jia 001 (CoRR, 2023)

Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models. - Bilgehan Sel; Ahmad Al-Tawaha; Vanshaj Khattar; Lu Wang 029; Ruoxi Jia 001; Ming Jin 002 (CoRR, 2023)

A Human-on-the-Loop Optimization Autoformalism Approach for Sustainability. - Ming Jin 002; Bilgehan Sel; Fnu Hardeep; Wotao Yin (CoRR, 2023)

Tempo Adaption in Non-stationary Reinforcement Learning. - Hyunin Lee; Yuhao Ding; Jongmin Lee; Ming Jin 002; Javad Lavaei; Somayeh Sojoudi (CoRR, 2023)

Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space. - Padmaksha Roy; Tyler Cody; Himanshu Singhal; Kevin Choi; Ming Jin 002 (CoRR, 2023)

Certifiably Robust Neural ODE With Learning-Based Barrier Function. - Runing Yang; Ruoxi Jia 001; Xiangyu Zhang 010; Ming Jin 002 (IEEE Control. Syst. Lett., 2023)

Dynamic Regret Bounds for Constrained Online Nonconvex Optimization Based on Polyak-Lojasiewicz Regions. - Julie Mulvaney-Kemp; SangWoo Park 004; Ming Jin 002; Javad Lavaei (IEEE Trans. Control. Netw. Syst., 2023)

Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation. - Shangding Gu; Bilgehan Sel; Yuhao Ding; Lu Wang 029; Qingwei Lin; Ming Jin 002; Alois Knoll (AAAI, 2024)

Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in LLMs. - Bilgehan Sel; Priya Shanmugasundaram; Mohammad Kachuee; Kun Zhou; Ruoxi Jia 001; Ming Jin 002 (ACL (1), 2024)

Does Online Gradient Descent (and Variants) Still Work with Biased Gradient and Variance? - Ahmad Al-Tawaha; Ming Jin 002 (ACC, 2024)

Optimization Solution Functions as Deterministic Policies for Offline Reinforcement Learning. - Vanshaj Khattar; Ming Jin 002 (ACC, 2024)

The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes. - Myeongseob Ko; Feiyang Kang; Weiyan Shi; Ming Jin 002; Zhou Yu; Ruoxi Jia 001 (CVPR, 2024)

InternalInspector I²: Robust Confidence Estimation in LLMs through Internal States. - Mohammad Beigi; Ying Shen 006; Runing Yang; Zihao Lin 003; Qifan Wang 001; Ankith Mohan; Jianfeng He; Ming Jin 002; Chang-Tien Lu; Lifu Huang (EMNLP (Findings), 2024)

Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization? - Jianfeng He; Runing Yang; Linlin Yu; Changbin Li; Ruoxi Jia 001; Feng Chen 001; Ming Jin 002; Chang-Tien Lu (EMNLP, 2024)

Pausing Policy Learning in Non-stationary Reinforcement Learning. - Hyunin Lee; Ming Jin 002; Javad Lavaei; Somayeh Sojoudi (ICML, 2024)

Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models. - Bilgehan Sel; Ahmad Al-Tawaha; Vanshaj Khattar; Ruoxi Jia 001; Ming Jin 002 (ICML, 2024)

Fairness-Aware Meta-Learning via Nash Bargaining. - Yi Zeng 005; Xuelin Yang; Li Chen; Cristian Canton Ferrer; Ming Jin 002; Michael I. Jordan; Ruoxi Jia 001 (NeurIPS, 2024)

Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation. - Shangding Gu; Laixi Shi; Yuhao Ding; Alois Knoll; Costas J. Spanos; Adam Wierman; Ming Jin 002 (NeurIPS, 2024)

Boosting Alignment for Post-Unlearning Text-to-Image Generative Models. - Myeongseob Ko; Henry Li; Zhun Wang; Jonathan Patsenker; Jiachen T. Wang; Qinbin Li; Ming Jin 002; Dawn Song; Ruoxi Jia 001 (NeurIPS, 2024)

Latent Space Correlation-Aware Autoencoder for Anomaly Detection in Skewed Data. - Padmaksha Roy; Himanshu Singhal; Timothy J. O'Shea; Ming Jin 002 (PAKDD (1), 2024)

Democratizing Energy Management with LLM-Assisted Optimization Autoformalism. - Ming Jin 002; Bilgehan Sel; Fnu Hardeep; Wotao Yin (SmartGridComm, 2024)

Enhancing Distribution System Resilience: A First-Order Meta-RL algorithm for Critical Load Restoration. - Zain ul Abdeen; Xiangyu Zhang 010; Waris Gill; Ming Jin 002 (SmartGridComm, 2024)

TeaMs-RL: Teaching LLMs to Teach Themselves Better Instructions via Reinforcement Learning. - Shangding Gu; Alois Knoll; Ming Jin 002 (CoRR, 2024)

Defense against Joint Poison and Evasion Attacks: A Case Study of DERMS. - 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 002 (CoRR, 2024)

InternalInspector I2: Robust Confidence Estimation in LLMs through Internal States. - Mohammad Beigi; Ying Shen 006; Runing Yang; Zihao Lin 003; Qifan Wang 001; Ankith Mohan; Jianfeng He; Ming Jin 002; Chang-Tien Lu; Lifu Huang (CoRR, 2024)

Data-Centric Human Preference Optimization with Rationales. - Hoang Anh Just; Ming Jin 002; Anit Kumar Sahu; Huy Phan; Ruoxi Jia 001 (CoRR, 2024)

A Black Swan Hypothesis in Markov Decision Process via Irrationality. - Hyunin Lee; David Abel; Ming Jin 002; Javad Lavaei; Somayeh Sojoudi (CoRR, 2024)

Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models. - Mohammad Beigi; Sijia Wang; Ying Shen 006; Zihao Lin 003; Adithya Kulkarni; Jianfeng He; Feng Chen 001; Ming Jin 002; Jin-Hee Cho; Dawei Zhou 001; Chang-Tien Lu; Lifu Huang (CoRR, 2024)

Data-Centric Defense: Shaping Loss Landscape with Augmentations to Counter Model Inversion. - Si Chen 008; Feiyang Kang; Nikhil Abhyankar; Ming Jin 002; Ruoxi Jia 001 (Trans. Mach. Learn. Res., 2024)

TeaMs-RL: Teaching LLMs to Generate Better Instruction Datasets via Reinforcement Learning. - Shangding Gu; Alois Knoll; Ming Jin 002 (Trans. Mach. Learn. Res., 2024)

Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning. - Shangding Gu; Laixi Shi; Muning Wen; Ming Jin 002; Eric Mazumdar; Yuejie Chi; Adam Wierman; Costas J. Spanos (ICLR, 2025)

A Black Swan Hypothesis: The Role of Human Irrationality in AI Safety. - Hyunin Lee; Chanwoo Park; David Abel; Ming Jin 002 (ICLR, 2025)

LLMs Can Plan Only If We Tell Them. - Bilgehan Sel; Ruoxi Jia 001; Ming Jin 002 (ICLR, 2025)

IP-FL: Incentive-Driven Personalization in Federated Learning. - Ahmad Faraz Khan 001; Xinran Wang; Qi Le; Zain ul Abdeen; Azal Ahmad Khan; Haider Ali; Ming Jin 002; Jie Ding 002; Ali Raza Butt; Ali Anwar 001 (IPDPS, 2025)

A Dynamic Penalization Framework for Online Rank-1 Semidefinite Programming Relaxations. - Ahmad Al-Tawaha; Javad Lavaei; Ming Jin 002 (L4DC, 2025)

DiPT: Enhancing LLM Reasoning through Diversified Perspective-Taking. - Hoang Anh Just; Mahavir Dabas; Lifu Huang; Ming Jin 002; Ruoxi Jia 001 (NAACL (Findings), 2025)

Model Residuals as Shields: A Two-Level Formulation to Defend Smart Grids From Poisoning Attacks. - Tung-Wei Lin; Padmaksha Roy; Yi Zeng 005; Ming Jin 002; Ruoxi Jia 001; Chen-Ching Liu; Alberto L. Sangiovanni-Vincentelli (IEEE Internet Things J., 2025)

Reward-Safety Balance in Offline Safe RL via Diffusion Regularization. - Junyu Guo; Zhi Zheng; Donghao Ying; Ming Jin 002; Shangding Gu; Costas J. Spanos; Javad Lavaei (CoRR, 2025)

Backtracking for Safety. - Bilgehan Sel; Dingcheng Li; Phillip Wallis; Vaishakh Keshava; Ming Jin 002; Siddhartha Reddy Jonnalagadda (CoRR, 2025)

Few-Shot Test-Time Optimization Without Retraining for Semiconductor Recipe Generation and Beyond. - Shangding Gu; Donghao Ying; Ming Jin 002; Yu Joe Lu; Jun Wang 012; Javad Lavaei; Costas J. Spanos (CoRR, 2025)

Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning. - Shangding Gu; Bilgehan Sel; Yuhao Ding; Lu Wang 029; Qingwei Lin; Alois Knoll; Ming Jin 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

A Scalable Approach for Safe and Robust Learning via Lipschitz-Constrained Networks. - Zain ul Abdeen; Vassilis Kekatos; Ming Jin 002 (CoRR, 2025)

Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning. - Mahavir Dabas; Si Chen 008; Charles Fleming; Ming Jin 002; Ruoxi Jia 001 (CoRR, 2025)

Agentic Web: Weaving the Next Web with AI Agents. - Yingxuan Yang; Mulei Ma; Yuxuan Huang; Huacan Chai; Chenyu Gong; Haoran Geng; Yuanjian Zhou; Ying Wen 001; Meng Fang; Muhao Chen 001; Shangding Gu; Ming Jin 002; et al. (CoRR, 2025)