| 2026 | ACL | STReasoner: Empowering LLMs for Spatio-Temporal Reasoning in Time Series via Spatial-Aware Reinforcement Learning. | Juntong Ni, Shiyu Wang, Qi He, Ming Jin, Wei Jin |
| 2026 | KDD | TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation. | Juntong Ni, Zewen Liu, Shiyu Wang, Ming Jin, Wei Jin |
| 2026 | KDD | FaST: Efficient and Effective Long-Horizon Forecasting for Large-Scale Spatial-Temporal Graphs via Mixture-of-Experts. | Yiji Zhao, Zihao Zhong, Ao Wang, Haomin Wen, Ming Jin, Yuxuan Liang, Huaiyu Wan, Hao Wu |
| 2025 | ACL | Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement. | Yaxuan Kong, Yiyuan Yang, Yoontae Hwang, Wenjie Du, Stefan Zohren, Zhangyang Wang, Ming Jin, Qingsong Wen |
| 2025 | CIKM | OASIS: Harnessing Diffusion Adversarial Network for Ocean Salinity Imputation using Sparse Drifter Trajectories. | Bo Li, Yingqi Feng, Ming Jin, Xin Zheng, Yufei Tang, Laurent M. Chrubin, Can Wang, Alan Wee-Chung Liew, Qinghua Lu, Jingwei Yao, Hong Zhang, Shirui Pan, Xingquan Zhu |
| 2025 | EMNLP | Sycophancy Mitigation Through Reinforcement Learning with Uncertainty-Aware Adaptive Reasoning Trajectories. | Mohammad Beigi, Ying Shen, Parshin Shojaee, Qifan Wang, Zichao Wang, Chandan K. Reddy, Ming Jin, Lifu Huang |
| 2025 | EMNLP | From Capabilities to Performance: Evaluating Key Functional Properties of LLM Architectures in Penetration Testing. | Lanxiao Huang, Daksh Dave, Tyler Cody, Peter A. Beling, Ming Jin |
| 2025 | EMNLP | Retracing the Past: LLMs Emit Training Data When They Get Lost. | Myeongseob Ko, Nikhil Reddy Billa, Adam Nguyen, Charles Fleming, Ming Jin, Ruoxi Jia |
| 2025 | ICASSP | Situational Awareness Based Resource Allocation for Multi-Target Tracking in Distributed Radar Network. | Mushen Lin, Fenggang Yan, Lingda Ren, Xiangtian Meng, Maria Greco, Fulvio Gini, Ming Jin |
| 2025 | ICDM | Test-Time GNN Model Evaluation on Dynamic Graphs. | Bo Li, Xin Zheng, Ming Jin, Can Wang, Shirui Pan |
| 2025 | ICLR | TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis. | Shiyu Wang, Jiawei Li, Xiaoming Shi, Zhou Ye, Baichuan Mo, Wenze Lin, Shengtong Ju, Zhixuan Chu, Ming Jin |
| 2025 | ICLR | Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning. | Shangding Gu, Laixi Shi, Muning Wen, Ming Jin, Eric Mazumdar, Yuejie Chi, Adam Wierman, Costas J. Spanos |
| 2025 | ICLR | A Black Swan Hypothesis: The Role of Human Irrationality in AI Safety. | Hyunin Lee, Chanwoo Park, David Abel, Ming Jin |
| 2025 | ICLR | LLMs Can Plan Only If We Tell Them. | Bilgehan Sel, Ruoxi Jia, Ming Jin |
| 2025 | ICLR | Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts. | Xiaoming Shi, Shiyu Wang, Yuqi Nie, Dianqi Li, Zhou Ye, Qingsong Wen, Ming Jin |
| 2025 | ICLR | Towards Neural Scaling Laws for Time Series Foundation Models. | Qingren Yao, Chao-Han Huck Yang, Renhe Jiang, Yuxuan Liang, Ming Jin, Shirui Pan |
| 2025 | ICML | Position: AI Safety Must Embrace an Antifragile Perspective. | Ming Jin, Hyunin Lee |
| 2025 | ICML | Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning. | Mahavir Dabas, Si Chen, Charles Fleming, Ming Jin, Ruoxi Jia |
| 2025 | ICML | LLMs Can Reason Faster Only If We Let Them. | Bilgehan Sel, Lifu Huang, Naren Ramakrishnan, Ruoxi Jia, Ming Jin |
| 2025 | ICML | Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting. | Siru Zhong, Weilin Ruan, Ming Jin, Huan Li, Qingsong Wen, Yuxuan Liang |
| 2025 | IJCAI | T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models. | Yunfeng Ge, Jiawei Li, Yiji Zhao, Haomin Wen, Zhao Li, Meikang Qiu, Hongyan Li, Ming Jin, Shirui Pan |
| 2025 | KDD | FRT: Flow-based Reconcile Transformer for Hierarchical Time Series. | Shiyu Wang, Wei Lu, Jiawei Li, Xiaoming Shi, Xinyue Zhong, Zhou Ye, Ming Jin, Qingsong Wen |
| 2025 | KDD | Foundation Models for Spatio-Temporal Data Science: A Tutorial and Survey. | Yuxuan Liang, Haomin Wen, Yutong Xia, Ming Jin, Bin Yang, Flora Salim, Qingsong Wen, Shirui Pan, Gao Cong |
| 2025 | NAACL | DiPT: Enhancing LLM Reasoning through Diversified Perspective-Taking. | Hoang Anh Just, Mahavir Dabas, Lifu Huang, Ming Jin, Ruoxi Jia |
| 2025 | WWW | Time Series Analysis in the Web: Recent Advances and Future Trends. | Ming Jin, Wei Jin, Hao Xue, Flora Salim, Yuxuan Liang |
| 2025 | WWW | The Workshop of Artificial Intelligence for Web-Centric Time Series Analysis (AI4TS): Theory, Algorithms, and Applications. | Ming Jin, Mahsa Salehi, Yuxuan Liang, Dongjin Song, Flora Salim, Min Wu, Shirui Pan, Qingsong Wen |
| 2025 | WWW | The International Workshop on Spatio-Temporal Data Mining from the Web. | Yuxuan Liang, Hao Xue, Ming Jin, Flora Salim, Qingsong Wen, Yong Li, Roger Zimmermann, Yu Zheng |
| 2024 | AAAI | Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation. | Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Ming Jin, Alois Knoll |
| 2024 | ACL | Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in LLMs. | Bilgehan Sel, Priya Shanmugasundaram, Mohammad Kachuee, Kun Zhou, Ruoxi Jia, Ming Jin |
| 2024 | CIKM | HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecasting. | Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang |
| 2024 | CVPR | The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes. | Myeongseob Ko, Feiyang Kang, Weiyan Shi, Ming Jin, Zhou Yu, Ruoxi Jia |
| 2024 | EMNLP | InternalInspector I²: Robust Confidence Estimation in LLMs through Internal States. | Mohammad Beigi, Ying Shen, Runing Yang, Zihao Lin, Qifan Wang, Ankith Mohan, Jianfeng He, Ming Jin, Chang-Tien Lu, Lifu Huang |
| 2024 | EMNLP | Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization? | Jianfeng He, Runing Yang, Linlin Yu, Changbin Li, Ruoxi Jia, Feng Chen, Ming Jin, Chang-Tien Lu |
| 2024 | ICASSP | Generalized Hole-Filling Strategy for Overlapping Hole-Existing Coprime Arrays for DOA Estimation. | Xiang Li, Feng-Gang Yan, Ming Jin, Maria Sabrina Greco, Fulvio Gini |
| 2024 | ICASSP | Reduced-Dimensional Decomposition and Eigenspace Reconstruction of Coherent Sources with Arbitrary Rectangle Arrays. | Xiangtian Meng, Fenggang Yan, Maria Greco, Fulvio Gini, Ming Jin |
| 2024 | ICLR | Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. | Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen |
| 2024 | ICML | Position: What Can Large Language Models Tell Us about Time Series Analysis. | Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen |
| 2024 | ICML | Pausing Policy Learning in Non-stationary Reinforcement Learning. | Hyunin Lee, Ming Jin, Javad Lavaei, Somayeh Sojoudi |
| 2024 | ICML | Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models. | Bilgehan Sel, Ahmad Al-Tawaha, Vanshaj Khattar, Ruoxi Jia, Ming Jin |
| 2024 | KDD | Foundation Models for Time Series Analysis: A Tutorial and Survey. | Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen |
| 2024 | PAKDD | Latent Space Correlation-Aware Autoencoder for Anomaly Detection in Skewed Data. | Padmaksha Roy, Himanshu Singhal, Timothy J. O'Shea, Ming Jin |
| 2023 | AAAI | On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds. | Ming Jin, Vanshaj Khattar, Harshal Kaushik, Bilgehan Sel, Ruoxi Jia |
| 2023 | AAAI | Non-stationary Risk-Sensitive Reinforcement Learning: Near-Optimal Dynamic Regret, Adaptive Detection, and Separation Design. | Yuhao Ding, Ming Jin, Javad Lavaei |
| 2023 | AAAI | Winning the CityLearn Challenge: Adaptive Optimization with Evolutionary Search under Trajectory-Based Guidance. | Vanshaj Khattar, Ming Jin |
| 2023 | ICCV | Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study. | Myeongseob Ko, Ming Jin, Chenguang Wang, Ruoxi Jia |
| 2023 | ICLR | LAVA: Data Valuation without Pre-Specified Learning Algorithms. | Hoang Anh Just, Feiyang Kang, Tianhao Wang, Yi Zeng, Myeongseob Ko, Ming Jin, Ruoxi Jia |
| 2023 | ICLR | A CMDP-within-online framework for Meta-Safe Reinforcement Learning. | Vanshaj Khattar, Yuhao Ding, Bilgehan Sel, Javad Lavaei, Ming Jin |
| 2023 | ICLR | Towards Robustness Certification Against Universal Perturbations. | Yi Zeng, Zhouxing Shi, Ming Jin, Feiyang Kang, Lingjuan Lyu, Cho-Jui Hsieh, Ruoxi Jia |
| 2023 | ISCAS | An 800G Integrated Silicon-Photonic Transmitter based on 16-Channel Mach-Zehnder Modulator and Co-Designed 5.35pJ/bit CMOS Drivers. | Jingbo Shi, Han Liu, Tao Yang, Ming Jin, Haowen Shu, Fenghe Yang, Lei Shi, Yuansheng Tao, Jianrui Deng, Ruixuan Chen, Changhao Han, Jian Liu, Nanjian Wu, Nan Qi, Liyuan Liu |
| 2023 | SENSYS | TUNEOPT: An Evolutionary Reinforcement Learning HVAC Controller For Energy-Comfort Optimization Tuning. | Mostafa Meimand, Vanshaj Khattar, Zahra Yazdani, Farrokh Jazizadeh, Ming Jin |
| 2022 | AAAI | 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 |
| 2022 | ICA3PP | Ordis: A Dynamic Order-Dispatch Algorithm for Ridehailing and Ridesharing in a Large Region. | Ming Jin, Juanjuan Zhao, Yang Wang, Chengzhong Xu |
| 2022 | ICLR | Adversarial Unlearning of Backdoors via Implicit Hypergradient. | Yi Zeng, Si Chen, Won Park, Zhuoqing Mao, Ming Jin, Ruoxi Jia |
| 2021 | AAAI | Power up! Robust Graph Convolutional Network via Graph Powering. | Ming Jin, Heng Chang, Wenwu Zhu, Somayeh Sojoudi |
| 2021 | CIKM | ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning. | Ming Jin, Yixin Liu, Yu Zheng, Lianhua Chi, Yuan-Fang Li, Shirui Pan |
| 2021 | IJCAI | Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. | Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan |
| 2020 | IECON | Statistical Multi-Faults Localization Strategy of Switch Open-Circuit Fault for Modular Multilevel Converters Using Grubbs Criterion. | Ming Jin, Fujin Deng, Chengkai Liu, Qiang Yu, Jifeng Zhao, Qingsong Wang |
| 2019 | SAC | Analysis of application installation logs on Android systems. | Jinwoo Lee, Yena Lee, Ming Jin, John Kim, Jiman Hong |
| 2018 | APCC | Blind Spectrum Sensing of OFDM Signals under Multipath Fading Channels. | Ming He, Ming Jin, Youming Li |
| 2017 | IGARSS | Rough soil surface scattering and emission modeling: A comprehensive reappraisal of the AIEM model by using numerical and experimental data. | Jiangyuan Zeng, Kun-Shan Chen, Peng Xu, Ming Jin, Yu Liu, Ying Yang |
| 2017 | UAI | Inverse Reinforcement Learning via Deep Gaussian Process. | Ming Jin, Andreas C. Damianou, Pieter Abbeel, Costas J. Spanos |
| 2017 | SENSYS | Indoor environmental quality monitoring by autonomous mobile sensing. | Ming Jin, Shichao Liu, Yulun Tian, Mingjian Lu, Stefano Schiavon, Costas J. Spanos |
| 2017 | WEBIST | A Revisit to Web Browsing on Wearable Devices. | Jinwoo Song, Hyunjune Kim, Ming Jin, Honguk Woo |
| 2016 | INFOCOM | WinIPS: WiFi-based non-intrusive IPS for online radio map construction. | Han Zou, Ming Jin, Hao Jiang, Lihua Xie, Costas J. Spanos |
| 2016 | IGARSS | Modeling and characteristics of bistaic scattering from rice canopy. | Yu Liu, Kun-Shan Chen, Yuan Liu, Zhao-Liang Li, Peng Xu, Jiangyuan Zeng, Ming Jin |
| 2016 | Mobiquitous | MetroEye: Smart Tracking Your Metro Trips Underground. | Weixi Gu, Ming Jin, Zimu Zhou, Costas J. Spanos, Lin Zhang |
| 2015 | SENSYS | Poster Abstract: MapSentinel: Map-Aided Non-intrusive Indoor Tracking in Sensor-Rich Environments. | Ruoxi Jia, Ming Jin, Han Zou, Yigitcan Yesilata, Lihua Xie, Costas J. Spanos |
| 2014 | IECON | Environmental sensing by wearable device for indoor activity and location estimation. | Ming Jin, Han Zou, Kevin Weekly, Ruoxi Jia, Alexandre M. Bayen, Costas J. Spanos |
| 2014 | IECON | Modeling of end-use energy profile: An appliance-data-driven stochastic approach. | Zhaoyi Kang, Ming Jin, Costas J. Spanos |
| 2014 | SENSYS | PresenceSense: zero-training algorithm for individual presence detection based on power monitoring. | Ming Jin, Ruoxi Jia, Zhaoyi Kang, Ioannis C. Konstantakopoulos, Costas J. Spanos |
| 2013 | ISCAS | Automatic verification of transition systems with unspecified components. | Mo Xia, Ming Jin, Guiming Luo |
| 2010 | ISNN | Research on a Novel Ant Colony Optimization Algorithm. | Gang Yi, Ming Jin, Zhi Zhou |
| 2009 | ICNC | The L2-Gaining Steady Analysis of Hopfield Neural Network with Time-Varying Parameters. | Ming Jin, Sheng Zhu |
| 2007 | CVPR | A Real-Time ProCam System for Interaction with Chinese Ink-and-Wash Cartoons. | Ming Jin, Hui Zhang, Xubo Yang, Shuangjiu Xiao |
| 2005 | IGARSS | GIS-assisted modeling of spatial and temporal distribution of soil water moisture in pailugou catchment of Qilian Mountains. | Xiande Liu, Xuelong Zhang, Ming Jin |
| 2003 | CW | A Virtual-Reality Based Integrated Driving-Traffic Simulation System to Study the Impacts of Intelligent Transportation Systems (ITS). | Ming Jin, Soi-Hoi Lam |
| 2001 | GLOBECOM | A novel design technique for weakly constrained codes. | Ming Jin, Kees A. Schouhamer Immink, Behrouz Farhang-Boroujeny |
| 2001 | GLOBECOM | A novel timing recovery scheme for FDTS/DF detector. | Ming Jin, Kalahasthi C. Indukumar, Behrouz Farhang-Boroujeny, George Mathew |
| 1999 | ICIP | Adaptive Subspace Decomposition for Hyperspectral Data Dimensionality Reduction. | Ye Zhang, Mita D. Desai, Junping Zhang, Ming Jin |