Xiangxiang Gao

Orcid: 0009-0000-0676-5299

According to our database1, Xiangxiang Gao authored at least 16 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
TemFRC: Enterprise financial risk prediction with temporal folding and risk contrast.
Inf. Process. Manag., 2026

GF-SVD: Global knowledge-infused singular value decomposition of large language models.
Inf. Fusion, 2026

DARTS-AM: robustifying differentiable neural architecture selection with attribution magnitude.
Neurocomputing, 2026

EQUINAS: Equilibrium-guided differentiable neural architecture search.
Expert Syst. Appl., 2026

A Geometric Perspective on Optimizing Vector Quantized Latent Diffusion Model for Image Restoration.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Talon: Breaking the Synchronization Barrier in Speculative Decoding with Hybrid Model-based and Retrieve-based Drafting.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
DARTS-EAST: an edge-adaptive selection with topology first differentiable architecture selection method.
Appl. Intell., April, 2025

Synergetic Optimization and In Situ Fabrication of Thin-Film Heat Flux Sensor for Heat Flux Measurement of Combustion Wind Tunnel.
IEEE Trans. Instrum. Meas., 2025

HMRNet: A Heterogeneous Multi-Relational Graph Neural Network for Financial Fraud Detection.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Falcon: Faster and Parallel Inference of Large Language Models Through Enhanced Semi-Autoregressive Drafting and Custom-Designed Decoding Tree.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
High-Performance Microfluidic Chip Calorimeter for Biomedical Applications.
Proceedings of the 2024 IEEE SENSORS, Kobe, Japan, October 20-23, 2024, 2024

2023
PF-BERxiT: Early exiting for BERT with parameter-efficient fine-tuning and flexible early exiting strategy.
Neurocomputing, November, 2023

F-PABEE: Flexible-patience-based Early Exiting for Single-label and Multi-label text Classification Tasks.
CoRR, 2023

Reconfigurable Plasma Composite Absorber Coupled With Pixelated Frequency Selective Surface Generated by FD-CGAN.
IEEE Access, 2023

F-PABEE: Flexible-Patience-Based Early Exiting For Single-Label and Multi-Label Text Classification Tasks.
Proceedings of the IEEE International Conference on Acoustics, 2023

FastNER: Speeding up Inferences for Named Entity Recognition Tasks.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023


  Loading...