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2020 – today
- 2024
[c15]Hang Yu, Cong Liao, Ruolan Liu, Jianguo Li, Yun Hu, Xinzhe Wang:
AmortizedPeriod: Attention-based Amortized Inference for Periodicity Identification. ICLR 2024- [c14]Peng Di
, Jianguo Li, Hang Yu, Wei Jiang, Wenting Cai, Yang Cao, Chaoyu Chen, Dajun Chen, Hongwei Chen, Liang Chen, Gang Fan, Jie Gong, Zi Gong, Wen Hu, Tingting Guo, Zhichao Lei, Ting Li, Zheng Li, Ming Liang, Cong Liao, Bingchang Liu, Jiachen Liu, Zhiwei Liu, Shaojun Lu, Min Shen, Guangpei Wang, Huan Wang, Zhi Wang, Zhaogui Xu, Jiawei Yang, Qing Ye, Gehao Zhang, Yu Zhang, Zelin Zhao, Xunjin Zheng, Hailian Zhou, Lifu Zhu, Xianying Zhu:
CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model. ICSE-SEIP 2024: 418-429 - [c13]Bingchang Liu, Chaoyu Chen, Zi Gong, Cong Liao, Huan Wang, Zhichao Lei, Ming Liang, Dajun Chen, Min Shen, Hailian Zhou, Wei Jiang, Hang Yu, Jianguo Li:
MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning. KDD 2024: 5430-5441 - [i6]Tingkai Zhang, Chaoyu Chen, Cong Liao, Jun Wang, Xudong Zhao, Hang Yu, Jianchao Wang, Jianguo Li, Wenhui Shi:
SQLfuse: Enhancing Text-to-SQL Performance through Comprehensive LLM Synergy. CoRR abs/2407.14568 (2024) - 2023
- [c12]Kaihao Guo, Hang Yu, Cong Liao, Jianguo Li, Haipeng Zhang:
ZeroAE: Pre-trained Language Model based Autoencoder for Transductive Zero-shot Text Classification. ACL (Findings) 2023: 3202-3219 - [i5]Peng Di, Jianguo Li, Hang Yu, Wei Jiang, Wenting Cai, Yang Cao, Chaoyu Chen, Dajun Chen, Hongwei Chen, Liang Chen, Gang Fan, Jie Gong, Zi Gong, Wen Hu, Tingting Guo, Zhichao Lei, Ting Li, Zheng Li, Ming Liang, Cong Liao, Bingchang Liu, Jiachen Liu, Zhiwei Liu, Shaojun Lu, Min Shen, Guangpei Wang, Huan Wang, Zhi Wang, Zhaogui Xu, Jiawei Yang, Qing Ye, Gehao Zhang, Yu Zhang, Zelin Zhao, Xunjin Zheng, Hailian Zhou, Lifu Zhu, Xianying Zhu:
CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model. CoRR abs/2310.06266 (2023) - [i4]Bingchang Liu, Chaoyu Chen, Cong Liao, Zi Gong, Huan Wang, Zhichao Lei, Ming Liang, Dajun Chen, Min Shen, Hailian Zhou, Hang Yu, Jianguo Li:
MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning. CoRR abs/2311.02303 (2023) - [i3]Ziyin Zhang, Chaoyu Chen, Bingchang Liu, Cong Liao, Zi Gong, Hang Yu, Jianguo Li, Rui Wang:
A Survey on Language Models for Code. CoRR abs/2311.07989 (2023) - 2022
- [c11]Shizhan Liu, Hang Yu, Cong Liao, Jianguo Li, Weiyao Lin, Alex X. Liu, Schahram Dustdar:
Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting. ICLR 2022 - [c10]Siqiao Xue, Chao Qu, Xiaoming Shi, Cong Liao, Shiyi Zhu, Xiaoyu Tan, Lintao Ma, Shiyu Wang, Shijun Wang, Yun Hu, Lei Lei, Yangfei Zheng, Jianguo Li, James Zhang:
A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. KDD 2022: 4290-4299 - [i2]Siqiao Xue, Chao Qu, Xiaoming Shi, Cong Liao, Shiyi Zhu, Xiaoyu Tan, Lintao Ma, Shiyu Wang, Shijun Wang, Yun Hu, Lei Lei, Yangfei Zheng, Jianguo Li, James Zhang:
A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. CoRR abs/2205.15795 (2022) - 2021
- [j5]Adam Bowers, Cong Liao, Douglas Steiert, Dan Lin, Anna Cinzia Squicciarini, Ali R. Hurson:
Detecting Suspicious File Migration or Replication in the Cloud. IEEE Trans. Dependable Secur. Comput. 18(1): 296-309 (2021) - 2020
- [c9]Haoti Zhong, Cong Liao, Anna Cinzia Squicciarini, Sencun Zhu, David J. Miller:
Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation. CODASPY 2020: 97-108 - [c8]Tongxin Liao, Xinhui Feng, Yuanli Sun, Hongting Wang, Cong Liao, Yuanbing Li:
Online Teaching Platform Based on Big Data Recommendation System. ICIEI 2020: 35-39
2010 – 2019
- 2019
- [j4]Teqi Dai, Cong Liao, Shaoya Zhao:
Optimizing the spatial assignment of schools through a random mechanism towards equal educational opportunity: A resemblance approach. Comput. Environ. Urban Syst. 76: 24-30 (2019) - 2018
- [c7]Cong Liao, Haoti Zhong, Sencun Zhu, Anna Cinzia Squicciarini:
Server-Based Manipulation Attacks Against Machine Learning Models. CODASPY 2018: 24-34 - [i1]Cong Liao, Haoti Zhong, Anna Cinzia Squicciarini, Sencun Zhu, David J. Miller:
Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation. CoRR abs/1808.10307 (2018) - 2017
- [j3]Cong Liao, Teqi Dai, Hongyu Cai, Wenxin Zhang:
Examining the Driving Factors Causing Rapid Urban Expansion in China: An Analysis Based on GlobeLand30 Data. ISPRS Int. J. Geo Inf. 6(9): 264 (2017) - [c6]Anna Lisa Ferrara, Anna Cinzia Squicciarini, Cong Liao, Truc L. Nguyen:
Toward Group-Based User-Attribute Policies in Azure-Like Access Control Systems. DBSec 2017: 349-361 - 2016
- [j2]Cong Liao, Anna Cinzia Squicciarini, Christopher Griffin, Sarah Michele Rajtmajer:
A hybrid epidemic model for deindividuation and antinormative behavior in online social networks. Soc. Netw. Anal. Min. 6(1): 13:1-13:11 (2016) - [c5]Cong Liao, Anna Cinzia Squicciarini, Dan Lin:
LAST-HDFS: Location-Aware Storage Technique for Hadoop Distributed File System. CLOUD 2016: 662-669 - 2015
- [c4]Cong Liao, Anna Cinzia Squicciarini, Christopher Griffin, Sarah Michele Rajtmajer:
A Hybrid Epidemic Model for Antinormative Behavior in Online Social Networks. ASONAM 2015: 1563-1564 - [c3]Cong Liao, Anna Cinzia Squicciarini:
Towards Provenance-Based Anomaly Detection in MapReduce. CCGRID 2015: 647-656 - [c2]Cong Liao, Anna Cinzia Squicciarini, Christopher Griffin:
Epidemic Behavior of Negative Users in Online Social Sites. CODASPY 2015: 143-145 - 2014
- [j1]Cong Liao, Hongwu Huang, Xinye Wu:
Weighing Technology for High-Speed Moving Vehicle Based on Wireless Sensor Networks. J. Networks 9(10): 2821-2827 (2014) - 2013
- [c1]Cong Liao, Jian Chang, Insup Lee, Krishna K. Venkatasubramanian:
A trust model for vehicular network-based incident reports. WiVeC 2013: 1-5
Coauthor Index
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last updated on 2024-10-07 21:18 CEST by the dblp team
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