This is your work, valued

Beijing

Rongyu Zhang

Expert
@RoyZry98

🇨🇳BUPT(B.Eng.)-->🇨🇳CUHKSZ(M.Phil.)-->🇨🇳NJU✖️🇭🇰PolyU(Ph.D.)

scholar.google.com/citations?user=rRcc9eoAAAAJ&hl=zh-CN

MoASE-Pytorch. 🔥 [AAAI 2026 Oral] Official code for Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation

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MoLe-VLA-Pytorch. [AAAI 2026] Official code for MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation

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MoFME-Pytorch. [AAAI 2024] Official code for Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation

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RepCaM-Pytorch. [TMC 2025/NOSSDAV 2023] Official code for RepCaM++ and RepCaM: Re-parameterization Content-aware Modulation for Neural Video Delivery

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VeCAF-Pytorch. [MM 2024] Official code for VeCAF: Vision-language Collaborative Active Finetuning with Training Objective Awareness

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MoANT-Pytorch. [CoLM 2026] Official code for MoANT: Mixture-of-Rank-One-Experts with semantic-aware Intuition for Multi-task Large Language Model Finetuning

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INFL-Pytorch. Official code for Implicit Neural Federated Learning for Privacy-Preserved Biological Analysis

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FactorLLM-Pytorch. [Arxiv 2024] Official code for FactorLLM: Factorizing Knowledge via Mixture of Experts for Large Language Models

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BEVUDA-Pytorch. [ICRA 2024] Official code for BEVUDA: Multi-geometric Space Alignments for Domain Adaptive BEV 3D Object Detection

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RoyZry98.github.io. My Academic Personal Homepage

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RoyZry98. Config files for my GitHub profile.

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