Zhuo Li

According to our database, Zhuo Li authored at least 16 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

HMF: Enhancing reentrancy vulnerability detection and repair with a hybrid model framework.

Mengliang Li, Qiang Shen, Xiaoxue Ren, Han Fu, Zhuo Li, Jianling Sun

Autom. Softw. Eng., June, 2026

2025

VisionTS++: Cross-Modal Time Series Foundation Model with Continual Pre-trained Visual Backbones.

Lefei Shen, Mouxiang Chen, Xu Liu, Han Fu, Xiaoxue Ren, Jianling Sun, Zhuo Li, Chenghao Liu

CoRR, August, 2025

The Power of Architecture: Deep Dive into Transformer Architectures for Long-Term Time Series Forecasting.

Lefei Shen, Mouxiang Chen, Han Fu, Xiaoxue Ren, Xiaoyun Joy Wang, Jianling Sun, Zhuo Li, Chenghao Liu

CoRR, July, 2025

Build a Good Human-Free Prompt Tuning: Jointly Pre-Trained Template and Verbalizer for Few-Shot Classification.

Mouxiang Chen, Han Fu, Chenghao Liu, Xiaoyun Joy Wang, Zhuo Li, Jianling Sun

IEEE Trans. Knowl. Data Eng., May, 2025

2024

Asynchronous Threshold ECDSA With Batch Processing.

Hongxin Zhang, Guanghuan Xie, Xin Zou, Chi Zhang, Zhuo Li, Rui Qin, Gang Xiong, Fei-Yue Wang

IEEE Trans. Comput. Soc. Syst., February, 2024

VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters.

Mouxiang Chen, Lefei Shen, Zhuo Li, Xiaoyun Joy Wang, Jianling Sun, Chenghao Liu

CoRR, 2024

Advancing Graph Representation Learning with Large Language Models: A Comprehensive Survey of Techniques.

Qiheng Mao, Zemin Liu, Chenghao Liu, Zhuo Li, Jianling Sun

CoRR, 2024

Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift.

Mouxiang Chen, Lefei Shen, Han Fu, Zhuo Li, Jianling Sun, Chenghao Liu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank.

Mouxiang Chen, Chenghao Liu, Zemin Liu, Zhuo Li, Jianling Sun

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Enhancing Reentrancy Vulnerability Detection and Repair with a Hybrid Model Framework.

Mengliang Li, Xiaoxue Ren, Han Fu, Zhuo Li, Jianling Sun

Proceedings of the 31st Asia-Pacific Software Engineering Conference, 2024

PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning.

Zhisheng Lin, Han Fu, Chenghao Liu, Zhuo Li, Jianling Sun

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Calibration of Time-Series Forecasting Transformers: Detecting and Adapting Context-Driven Distribution Shift.

Mouxiang Chen, Lefei Shen, Han Fu, Zhuo Li, Jianling Sun, Chenghao Liu

CoRR, 2023

ConvMHSA-SCVD: Enhancing Smart Contract Vulnerability Detection through a Knowledge-Driven and Data-Driven Framework.

Mengliang Li, Xiaoxue Ren, Han Fu, Zhuo Li, Jianling Sun

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

FCToken: A Flexible Framework for Blockchain-Based Compliance Tokenization.

Hao Tan, Shuangzhou Yan, Xin Zou, Guanghuan Xie, Hongxin Zhang, Zhuo Li

Proceedings of the IEEE International Conference on Data Mining, 2023

2020

A Machine Learning Framework for Data Ingestion in Document Images.

Han Fu, Yunyu Bai, Zhuo Li, Jun Shen, Jianling Sun

CoRR, 2020

A Performance Measurement and Optimization Mechanism for Blockchain Mining Pool System.

Xiaopeng Li, Zhuo Li

Proceedings of the ICBTA 2020: The 3rd International Conference on Blockchain Technology and Applications, 2020