← Authors

Ming Jin

44 papers · 2021–2025 · 11 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🌍 Conference Polyglot (11) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🀝 Dynamic Duo (17) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ’Ž Century Club (44) πŸ”₯ Unstoppable (5) ⚑ Prolific Year (9) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (161) ❓ The Questioner

Conferences

ICLR (11) ICML (7) AAAI (6) NIPS (6) EMNLP (5) ACL (2) IJCAI (2) L4DC (2) CVPR (1) ICCV (1) NAACL (1)

Top co-authors

Ruoxi Jia (17) Bilgehan Sel (8) Shirui Pan (7) Yuhao Ding (6) Javad Lavaei (6) Qingsong Wen (6) Yuxuan Liang (5) Myeongseob Ko (5) Vanshaj Khattar (4) Lifu Huang (4)

Research topics

Privacy (1)

Keywords

large language model (5) policy optimization (3) contrastive learning (3) time series (3) reinforcement learning (2) graph representation learning (2) diffusion model (2) dynamic regret (2) graph neural network (2) question answering (2) safe reinforcement learning (2) manifold learning (1) sample efficiency (1) convex optimization (1) risk management (1) representation learning (1) model security (1) temporal reasoning (1) adversarial robustness (1) self-supervised learning (1)

Papers

DiPT: Enhancing LLM Reasoning through Diversified Perspective-Taking NAACL 2025
Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement ACL 2025
Sycophancy Mitigation Through Reinforcement Learning with Uncertainty-Aware Adaptive Reasoning Trajectories EMNLP 2025
From Capabilities to Performance: Evaluating Key Functional Properties of LLM Architectures in Penetration Testing EMNLP 2025
Retracing the Past: LLMs Emit Training Data When They Get Lost EMNLP 2025
LLMs Can Plan Only If We Tell Them ICLR 2025
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis ICLR 2025
Towards Neural Scaling Laws for Time Series Foundation Models ICLR 2025
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning ICLR 2025
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts ICLR 2025
A Black Swan Hypothesis: The Role of Human Irrationality in AI Safety ICLR 2025
Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning ICML 2025
LLMs Can Reason Faster Only If We Let Them ICML 2025
Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting ICML 2025
Position: AI Safety Must Embrace an Antifragile Perspective ICML 2025
T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models IJCAI 2025
A Dynamic Penalization Framework for Online Rank-1 Semidefinite Programming Relaxations L4DC 2025
InternalInspector I2: Robust Confidence Estimation in LLMs through Internal States EMNLP 2024
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models ICLR 2024
Position: What Can Large Language Models Tell Us about Time Series Analysis ICML 2024
Pausing Policy Learning in Non-stationary Reinforcement Learning ICML 2024
Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation NIPS 2024
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective NIPS 2024
Fairness-Aware Meta-Learning via Nash Bargaining NIPS 2024
Boosting Alignment for Post-Unlearning Text-to-Image Generative Models NIPS 2024
Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation AAAI 2024
Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in LLMs ACL 2024
Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models ICML 2024
The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes CVPR 2024
Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization? EMNLP 2024
Non-stationary Risk-Sensitive Reinforcement Learning: Near-Optimal Dynamic Regret, Adaptive Detection, and Separation Design AAAI 2023
Winning the CityLearn Challenge: Adaptive Optimization with Evolutionary Search under Trajectory-Based Guidance AAAI 2023
A CMDP-within-online framework for Meta-Safe Reinforcement Learning ICLR 2023
LAVA: Data Valuation without Pre-Specified Learning Algorithms ICLR 2023
Learning-to-Learn to Guide Random Search: Derivative-Free Meta Blackbox Optimization on Manifold L4DC 2023
Tempo Adaptation in Non-stationary Reinforcement Learning NIPS 2023
On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds AAAI 2023
Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study ICCV 2023
Towards Robustness Certification Against Universal Perturbations ICLR 2023
Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs NIPS 2022
Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems AAAI 2022
Adversarial Unlearning of Backdoors via Implicit Hypergradient ICLR 2022
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning IJCAI 2021
Power up! Robust Graph Convolutional Network via Graph Powering AAAI 2021