Deli Chen

Orcid: 0000-0001-6767-1376

According to our database1, Deli Chen authored at least 40 papers between 2008 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
Decentralized Decoupled Training for Federated Long-Tailed Learning.
Trans. Mach. Learn. Res., 2024

Sentiment Classification Model of Fresh Agricultural Product Comments based on Semantic Structure-Combined Dictionary Optimization.
J. Comput. Sci. Eng., 2024

Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models.
CoRR, 2024

DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.
CoRR, 2024

DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.
CoRR, 2024

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.
CoRR, 2024

Grain Protein Content in Commercial Wheat Estimated Via Timeseries Plant Traits Retrieved From Sentinel-2 Images by Radiative Transfer Model Inversion.
Proceedings of the IGARSS 2024, 2024

Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations.
CoRR, 2023

Towards Codable Text Watermarking for Large Language Models.
CoRR, 2023

Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning.
CoRR, 2023

Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
An empirical analysis of the use of agricultural mobile applications among smallholder farmers in Myanmar.
Electron. J. Inf. Syst. Dev. Ctries., 2021

Topology-Imbalance Learning for Semi-Supervised Node Classification.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Leveraging Word-Formation Knowledge for Chinese Word Sense Disambiguation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Accelerating Pre-trained Language Models via Calibrated Cascade.
CoRR, 2020

Distance-wise Graph Contrastive Learning.
CoRR, 2020

Short-Term Heart Rate Variability and Blood Biomarkers of Gastric Cancer Prognosis.
IEEE Access, 2020

Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Image encryption algorithm based on Logistic-Sine compound chaos.
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2020

Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Improving Node Classification by Co-training Node Pair Classification: A Novel Training Framework for General Graph Neural Networks.
CoRR, 2019

Incorporating Fine-grained Events in Stock Movement Prediction.
CoRR, 2019

Group, Extract and Aggregate: Summarizing a Large Amount of Finance News for Forex Movement Prediction.
CoRR, 2019

Recursive Graphical Neural Networks for Text Classification.
CoRR, 2019

Predicting Popular News Comments Based on Multi-Target Text Matching Model.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

2018
Design of public bicycle scheduling model based on data mining algorithm.
Int. J. Reason. based Intell. Syst., 2018

Identifying High-Quality Chinese News Comments Based on Multi-Target Text Matching Model.
CoRR, 2018

2017
Algorithm of key data ensemble clustering and approximate analysis in cloud computing.
Int. J. Reason. based Intell. Syst., 2017

2015
The use of image analysis to determine the number and position of cattle at a water point.
Comput. Electron. Agric., 2015

2014
An analysis of factors influencing the output value of unit sown area based on grey incidence analysis.
Grey Syst. Theory Appl., 2014

2010
Spatial variability of soil nutrients and GIS-based nutrient management in Yongji County, China.
Int. J. Geogr. Inf. Sci., 2010

2008
A unified framework for low-memory and on-the-fly implementation of generic tree-structured M-channel QMF banks.
Signal Process., 2008


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