Tianxiang Zhu

Orcid: 0009-0008-7895-349X

According to our database1, Tianxiang Zhu authored at least 11 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
AcademiClaw: When Students Set Challenges for AI Agents.
CoRR, May, 2026

Online Location Planning for AI-Defined Vehicles: Optimizing Joint Tasks of Order Serving and Spatio-Temporal Heterogeneous Model Fine-Tuning.
IEEE Trans. Mob. Comput., February, 2026

Efficient Warpage Simulation of Complex 2.5-D/3-D IC Structures with Novel Meshing Algorithm and Layerwise Plate Theory.
Proceedings of the Design, Automation & Test in Europe Conference, 2026

2025
ATMPlace: Analytical Thermo-Mechanical-Aware Placement Framework for 2.5D-IC.
CoRR, November, 2025

High-Resolution Full-Chip Thermal Resistance Extraction of BEOL Interconnects in 3-D ICs Considering Detailed Via Connectivity.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

MORE-Stress: Model Order Reduction based Efficient Numerical Algorithm for Thermal Stress Simulation of TSV Arrays in 2.5D/3D IC.
Proceedings of the Design, Automation & Test in Europe Conference, 2025

2024
Can You Do Both? Balancing Order Serving and Crowdsensing for Ride-Hailing Vehicles.
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

FaStTherm: Fast and Stable Full-Chip Transient Thermal Predictor Considering Nonlinear Effects.
Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

RACCOON: Online Content Recommendation and Edge-Assisted Caching for In-Vehicle Infotainment.
Proceedings of the 10th International Conference on Big Data Computing and Communications, 2024

2023
Reliable fuzzy prognosability of decentralized fuzzy discrete-event systems and verification algorithm.
Inf. Sci., May, 2023

A Budget-aware Incentive Mechanism for Vehicle-to-Grid via Reinforcement Learning.
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023


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