Lin, Junhong

1. Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review
   2024/02/15 by Jing Su, Su, Jing, Chufeng Jiang +17 · 1 voice · 15 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Sentiment Analysis and Opinion Mining #Topic Modeling #cs.AI #cs.LG
2. Plan and Budget: Effective and Efficient Test-Time Scaling on Reasoning Large Language Models
   2025/05/22 by Jun‐Hong Lin, Lin, Junhong, Zeng, Xinyue +10 · 13 citations
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
3. Reasoning of Large Language Models over Knowledge Graphs with Super-Relations
   2025/03/28 by Wang, Song, Lin, Junhong, Guo, Xiaojie +3 · 10 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
4. On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions
   2024/02/06 by Yusu Hong, Hong, Yusu, Junhong Lin +1 · 3 citations
   Economics, Econometrics and Finance · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Stochastic processes and financial applications
5. LENSLLM: Unveiling Fine-Tuning Dynamics for LLM Selection
   2025/05/01 by Xinyue Zeng, Haohui Wang, Zeng, Xinyue +9 · 4 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques
6. High Probability Convergence of Adam Under Unbounded Gradients and Affine Variance Noise
   2023/11/03 by Yusu Hong, Junhong Lin, Hong, Yusu +1 · 1 citation
   Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Neural Networks and Applications #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
7. PAC-Bayesian Adversarially Robust Generalization Bounds for Graph Neural Network
   2024/02/06 by Sun, Tan, Lin, Junhong · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
8. When Heterophily Meets Heterogeneity: Challenges and a New Large-Scale Graph Benchmark
   2024/07/15 by Lin, Junhong, Guo, Xiaojie, Zhang, Shuaicheng +2 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)