Haowei Lin

According to our database, Haowei Lin authored at least 19 papers between 2018 and 2024.

Collaborative distances:

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

2024

RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation.

Zihao Wang, Anji Liu, Haowei Lin, Jiaqi Li, Xiaojian Ma, Yitao Liang

CoRR, 2024

Selecting Large Language Model to Fine-tune via Rectified Scaling Law.

Haowei Lin, Baizhou Huang, Haotian Ye, Qinyu Chen, Zihao Wang, Sujian Li, Jianzhu Ma, Xiaojun Wan, James Zou, Yitao Liang

CoRR, 2024

2023

JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models.

Zihao Wang, Shaofei Cai, Anji Liu, Yonggang Jin, Jinbing Hou, Bowei Zhang, Haowei Lin, Zhaofeng He, Zilong Zheng, Yaodong Yang, Xiaojian Ma, Yitao Liang

CoRR, 2023

MCU: A Task-centric Framework for Open-ended Agent Evaluation in Minecraft.

Haowei Lin, Zihao Wang, Jianzhu Ma, Yitao Liang

CoRR, 2023

Class Incremental Learning via Likelihood Ratio Based Task Prediction.

Haowei Lin, Yijia Shao, Weinan Qian, Ningxin Pan, Yiduo Guo, Bing Liu

CoRR, 2023

Continual Learning of Language Models.

Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu

CoRR, 2023

Continual Pre-training of Language Models.

Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score.

Haowei Lin, Yuntian Gu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

CMG: A Class-Mixed Generation Approach to Out-of-Distribution Detection.

Mengyu Wang, Yijia Shao, Haowei Lin, Wenpeng Hu, Bing Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Adapting a Language Model While Preserving its General Knowledge.

Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Continual Training of Language Models for Few-Shot Learning.

Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu, Bing Liu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Particle swarm optimized neural networks based local tracking control scheme of unknown nonlinear interconnected systems.

Bo Zhao, Fangchao Luo, Haowei Lin, Derong Liu

Neural Networks, 2021

2020

Data-based fault tolerant control for affine nonlinear systems through particle swarm optimized neural networks.

Haowei Lin, Bo Zhao, Derong Liu, Cesare Alippi

IEEE CAA J. Autom. Sinica, 2020

Dynamic service migration in ultra-dense multi-access edge computing network for high-mobility scenarios.

Haowei Lin, Xiaolong Xu, Juan Zhao, Xinheng Wang

EURASIP J. Wirel. Commun. Netw., 2020

2019

Energy Consumption of IT System in Cloud Data Center: Architecture, Factors and Prediction.

Haowei Lin, Xiaolong Xu, Xinheng Wang

Proceedings of the Network and Parallel Computing, 2019

Local Near-Optimal Control for Interconnected Systems with Time-Varying Delays.

Qiuye Wu, Haowei Lin, Bo Zhao, Derong Liu

Proceedings of the Neural Information Processing - 26th International Conference, 2019

An Adaptive Flow Table Adjustment Algorithm for SDN.

Xiaolong Xu, Liuyun Hu, Haowei Lin, Zexuan Fan

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

2018

Mutation Relation Extraction and Genes Network Analysis in Colon Cancer.

Yinan Lu, Xiaoxin Guo, Hangyu Pan, Haowei Lin

Proceedings of the 5th International Conference on Systems and Informatics, 2018

BDDS: An Efficient Data Screening Algorithm Based on Binary Digit.

Haowei Lin, Xiaolong Xu

Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2018