Jing Li

Orcid: 0000-0001-9654-4536

Affiliations:
  • Tsinghua University, Beijing, China


According to our database1, Jing Li authored at least 10 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Fast online learning algorithm based on modified hierarchical Unimodal Thompson Sampling.
Pattern Recognit., 2026

Web-Mined Hypothesis Generation for Financial Markets: An Autonomous Backtesting Framework.
Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

ViG-RAG: Video-aware Graph Retrieval-Augmented Generation via Temporal and Semantic Hybrid Reasoning.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Context-Aware Meta-Reinforcement Learning for Intelligent Diverse Indoor HVAC Control.
Proceedings of the International Joint Conference on Neural Networks, 2025

Intelligent Transportation Aiding Urban Sustainability: An Empirical Analysis with Reinforcement and Deep Learning.
Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

2024
DiffusionE: Reasoning on Knowledge Graphs via Diffusion-based Graph Neural Networks.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Optimizing Intelligent Transportation Systems with Multi-agent Reinforcement Learning: A Socio-economic Impact Assessment.
Proceedings of the Intelligent Transport Systems - 8th International Conference, 2024

AdvDenoise: Fast Generation Framework of Universal and Robust Adversarial Patches Using Denoise.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
AVS-Net: Attention-based Variable Splitting Network for P-MRI Acceleration.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Mimic Octopus Attack: Dynamic Camouflage Adversarial Examples Using Mimetic Feature for 3D Humans.
Proceedings of the Information Security and Cryptology - 18th International Conference, 2022


  Loading...