Cong Liao

Orcid: 0009-0009-6393-9035

According to our database1, Cong Liao authored at least 24 papers between 2013 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
SQLfuse: Enhancing Text-to-SQL Performance through Comprehensive LLM Synergy.
CoRR, 2024

MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model.
Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice, 2024

AmortizedPeriod: Attention-based Amortized Inference for Periodicity Identification.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
A Survey on Language Models for Code.
CoRR, 2023

MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning.
CoRR, 2023

ZeroAE: Pre-trained Language Model based Autoencoder for Transductive Zero-shot Text Classification.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Detecting Suspicious File Migration or Replication in the Cloud.
IEEE Trans. Dependable Secur. Comput., 2021

2020
Online Teaching Platform Based on Big Data Recommendation System.
Proceedings of the ICIEI 2020: The 5th International Conference on Information and Education Innovations, 2020

Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation.
Proceedings of the CODASPY '20: Tenth ACM Conference on Data and Application Security and Privacy, 2020

2019
Optimizing the spatial assignment of schools through a random mechanism towards equal educational opportunity: A resemblance approach.
Comput. Environ. Urban Syst., 2019

2018
Server-Based Manipulation Attacks Against Machine Learning Models.
Proceedings of the Eighth ACM Conference on Data and Application Security and Privacy, 2018

2017
Examining the Driving Factors Causing Rapid Urban Expansion in China: An Analysis Based on GlobeLand30 Data.
ISPRS Int. J. Geo Inf., 2017

Toward Group-Based User-Attribute Policies in Azure-Like Access Control Systems.
Proceedings of the Data and Applications Security and Privacy XXXI, 2017

2016
A hybrid epidemic model for deindividuation and antinormative behavior in online social networks.
Soc. Netw. Anal. Min., 2016

LAST-HDFS: Location-Aware Storage Technique for Hadoop Distributed File System.
Proceedings of the 9th IEEE International Conference on Cloud Computing, 2016

2015
Epidemic Behavior of Negative Users in Online Social Sites.
Proceedings of the 5th ACM Conference on Data and Application Security and Privacy, 2015

Towards Provenance-Based Anomaly Detection in MapReduce.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

A Hybrid Epidemic Model for Antinormative Behavior in Online Social Networks.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
Weighing Technology for High-Speed Moving Vehicle Based on Wireless Sensor Networks.
J. Networks, 2014

2013
A trust model for vehicular network-based incident reports.
Proceedings of the 5th IEEE International Symposium on Wireless Vehicular Communications, 2013


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