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2020 – today
- 2025
[j1]Zongwei Yao, Chen Chen, Hongpeng Jin, Hongpu Huang, Xuefei Li, Qiushi Bi:
Cost-effective excavator pose reconstruction with physical constraints. Comput. Aided Civ. Infrastructure Eng. 40(22): 3525-3547 (2025)- [c4]Sai Nath Chowdary Medikonduru, Hongpeng Jin, Yanzhao Wu:
A Diversity-Optimized Deep Ensemble Approach for Accurate Plant Leaf Disease Detection. IEEE Big Data 2025: 7636-7641 - [c3]Hongpeng Jin, Yanzhao Wu
:
CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge Collaboration. ICWS 2025: 316-323 - [i5]Sai Nath Chowdary Medikonduru, Hongpeng Jin, Yanzhao Wu:
A Diversity-optimized Deep Ensemble Approach for Accurate Plant Leaf Disease Detection. CoRR abs/2511.16982 (2025) - 2024
- [c2]Hongpeng Jin, Maryam Akhavan Aghdam, Sai Nath Chowdary Medikonduru, Wenqi Wei, Xuyu Wang, Wenbin Zhang, Yanzhao Wu:
Effective Diversity Optimizations for High Accuracy Deep Ensembles. CogMI 2024: 278-287 - [i4]Maryam Akhavan Aghdam, Hongpeng Jin, Yanzhao Wu:
DA-MoE: Towards Dynamic Expert Allocation for Mixture-of-Experts Models. CoRR abs/2409.06669 (2024) - [i3]Hongpeng Jin, Yanzhao Wu:
Boosting Deep Ensembles with Learning Rate Tuning. CoRR abs/2410.07564 (2024) - [i2]Hongpeng Jin, Yanzhao Wu:
CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge Collaboration. CoRR abs/2411.02829 (2024) - 2023
- [c1]Hongpeng Jin, Wenqi Wei, Xuyu Wang, Wenbin Zhang, Yanzhao Wu:
Rethinking Learning Rate Tuning in the Era of Large Language Models. CogMI 2023: 112-121 - [i1]Hongpeng Jin, Wenqi Wei, Xuyu Wang, Wenbin Zhang, Yanzhao Wu:
Rethinking Learning Rate Tuning in the Era of Large Language Models. CoRR abs/2309.08859 (2023)
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