Lingkai Kong

1. AdaPlanner: Adaptive Planning from Feedback with Language Models
   2023/05/26 by Haotian Sun, Sun, Haotian, Yuchen Zhuang +7 · 28 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Software Engineering Research #Topic Modeling
2. Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis
   2024/06/12 by Haoxin Liu, Shangqing Xu, Liu, Haoxin +19 · 17 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Time Series Analysis and Forecasting
3. SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates
   2020/08/24 by Lingkai Kong, Jimeng Sun, Kong, Lingkai +3 · 7 citations
   Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
4. Aligning Large Language Models with Representation Editing: A Control Perspective
   2024/06/10 by Lingkai Kong, Haorui Wang, Kong, Lingkai +17 · 13 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Natural Language Processing Techniques #Systems and Control (eess.SY) #Topic Modeling #electronic engineering #information engineering
5. Efficient Evolutionary Search Over Chemical Space with Large Language Models
   2024/06/23 by Haorui Wang, Wang, Haorui, Marta Skreta +24 · 10 citations
   Computer Science · Biochemistry, Genetics and Molecular Biology · #Evolutionary Algorithms and Applications #Metaheuristic Optimization Algorithms Research #DNA and Biological Computing
6. Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function
   2020/02/14 by Lingkai Kong, Kong, Lingkai, Molei Tao +1 · 3 citations
   Computer Science · #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Numerical Analysis (math.NA) #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques #Topological and Geometric Data Analysis
7. Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning
   2024/06/13 by Haoxin Liu, Liu, Haoxin, Harshavardhan Kamarthi +9 · 6 citations
   Computer Science · Decision Sciences · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Forecasting Techniques and Applications #H.0 #Machine Learning (cs.LG) #Time Series Analysis and Forecasting
8. LLM-Augmented Chemical Synthesis and Design Decision Programs
   2025/05/11 by Haorui Wang, Jeff Guo, Wang, Haorui +11 · 6 citations
   Materials Science · Computer Science · Environmental Science · #Machine Learning in Materials Science #Computational Drug Discovery Methods #Chemistry and Chemical Engineering
9. When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting
   2021/06/07 by Harshavardhan Kamarthi, Kamarthi, Harshavardhan, Lingkai Kong +7 · 1 citation
   Computer Science · #Machine Learning in Healthcare #Explainable Artificial Intelligence (XAI) #Anomaly Detection Techniques and Applications
10. DeepTTV: Deep Learning Prediction of Hidden Exoplanet From Transit Timing Variations
    2024/09/06 by Chen Chen, Lingkai Kong, Chen, Chen +5 · 1 citation
    Engineering · Physics and Astronomy · #Astronomical Observations and Instrumentation #Astronomy and Astrophysical Research #Earth and Planetary Astrophysics (astro-ph.EP) #FOS: Computer and information sciences #FOS: Physical sciences #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Machine Learning (cs.LG) #Stellar, planetary, and galactic studies