Haowei Lin

According to our database1, Haowei Lin authored at least 24 papers between 2018 and 2024.

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

Timeline

2018
2019
2020
2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
GROOT-2: Weakly Supervised Multi-Modal Instruction Following Agents.
CoRR, 2024

Optimizing Latent Goal by Learning from Trajectory Preference.
CoRR, 2024

CLoG: Benchmarking Continual Learning of Image Generation Models.
CoRR, 2024

RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation.
CoRR, 2024

TFG: Unified Training-Free Guidance for Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Selecting Large Language Model to Fine-tune via Rectified Scaling Law.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Class Incremental Learning via Likelihood Ratio Based Task Prediction.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models.
CoRR, 2023

MCU: A Task-centric Framework for Open-ended Agent Evaluation in Minecraft.
CoRR, 2023

Continual Learning of Language Models.
CoRR, 2023

Continual Pre-training of Language Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score.
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.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Adapting a Language Model While Preserving its General Knowledge.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Continual Training of Language Models for Few-Shot Learning.
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.
Neural Networks, 2021

2020
Data-based fault tolerant control for affine nonlinear systems through particle swarm optimized neural networks.
IEEE CAA J. Autom. Sinica, 2020

Dynamic service migration in ultra-dense multi-access edge computing network for high-mobility scenarios.
EURASIP J. Wirel. Commun. Netw., 2020

2019
Energy Consumption of IT System in Cloud Data Center: Architecture, Factors and Prediction.
Proceedings of the Network and Parallel Computing, 2019

Local Near-Optimal Control for Interconnected Systems with Time-Varying Delays.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

An Adaptive Flow Table Adjustment Algorithm for SDN.
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.
Proceedings of the 5th International Conference on Systems and Informatics, 2018

BDDS: An Efficient Data Screening Algorithm Based on Binary Digit.
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2018


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