# Hongpeng Jin

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/hongpeng-jin/

## Facts

| Field | Value |
| --- | --- |
| Citations | 32 |
| Field | Advanced Neural Network Applications |
| h-index | 3 |
| i10-index | 2 |
| OpenAlex ID | https://openalex.org/A5101306453 |
| Works | 13 |

## Researcher papers

- [CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge Collaboration](https://scholariq.org/papers/ce-collm-efficient-and-adaptive-large-language-models-through-cloud-edge-2/)
- [Rethinking Learning Rate Tuning in the Era of Large Language Models](https://scholariq.org/papers/rethinking-learning-rate-tuning-in-the-era-of-large-language-models-2/)
- [Rethinking Learning Rate Tuning in the Era of Large Language Models](https://scholariq.org/papers/rethinking-learning-rate-tuning-in-the-era-of-large-language-models/)
- [Effective Diversity Optimizations for High Accuracy Deep Ensembles](https://scholariq.org/papers/effective-diversity-optimizations-for-high-accuracy-deep-ensembles/)
- [Boosting Deep Ensembles with Learning Rate Tuning](https://scholariq.org/papers/boosting-deep-ensembles-with-learning-rate-tuning/)
- [HF-START: A Regional Radio Propagation Simulator](https://scholariq.org/papers/hf-start-a-regional-radio-propagation-simulator/)
- [Improvement of GAIA polar input and its application to September 2017 event](https://scholariq.org/papers/improvement-of-gaia-polar-input-and-its-application-to-september-2017-event/)
- [CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge Collaboration](https://scholariq.org/papers/ce-collm-efficient-and-adaptive-large-language-models-through-cloud-edge/)
- [Cost‐effective excavator pose reconstruction with physical constraints](https://scholariq.org/papers/cost-effective-excavator-pose-reconstruction-with-physical-constraints/)
- [A Diversity-optimized Deep Ensemble Approach for Accurate Plant Leaf Disease Detection](https://scholariq.org/papers/a-diversity-optimized-deep-ensemble-approach-for-accurate-plant-leaf-disease/)
- [A Diversity-Optimized Deep Ensemble Approach for Accurate Plant Leaf Disease Detection](https://scholariq.org/papers/a-diversity-optimized-deep-ensemble-approach-for-accurate-plant-leaf-disease-2/)

## Researcher topics

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Machine Learning and Data Classification](https://scholariq.org/topics/machine-learning-and-data-classification/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Hydraulic and Pneumatic Systems](https://scholariq.org/topics/hydraulic-and-pneumatic-systems/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.