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ORCIDArash Akbari
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2020 – today
- 2026
[c2]Amir Taherin, Juyi Lin, Arash Akbari, Arman Akbari, Pu Zhao, Weiwei Chen, David R. Kaeli, Yanzhi Wang:
Cross-Platform Scaling of Vision-Language-Action Models from Edge to Cloud GPUs. ACM Great Lakes Symposium on VLSI 2026: 234-239- [i11]Timothy Rupprecht, Pu Zhao, Amir Taherin, Arash Akbari, Arman Akbari, Yumei He, Sean Duffy, Juyi Lin, Yixiao Chen, Rahul Chowdhury, Enfu Nan, Yixin Shen, Yifan Cao, Haochen Zeng, Weiwei Chen, Geng Yuan, Jennifer G. Dy, Sarah Ostadabbas, Silvia Zhang, David R. Kaeli, Edmund Yeh, Yanzhi Wang:
Human Cognition in Machines: A Unified Perspective of World Models. CoRR abs/2604.16592 (2026) - [i10]Juyi Lin, Arash Akbari, Yumei He, Lin Zhao, Haichao Zhang, Arman Akbari, Xingchen Xu, Zoe Y. Lu, Enfu Nan, Hokin Deng, Edmund Yeh, Sarah Ostadabbas, Yun Fu, Jennifer G. Dy, Pu Zhao, Yanzhi Wang:
PhyGround: Benchmarking Physical Reasoning in Generative World Models. CoRR abs/2605.10806 (2026) - [i9]Pu Zhao, Juyi Lin, Timothy Rupprecht, Arash Akbari, Chence Yang, Rahul Chowdhury, Elaheh Motamedi, Arman Akbari, Yumei He, Chen Wang, Geng Yuan, Weiwei Chen, Yanzhi Wang:
PhyWorld: Physics-Faithful World Model for Video Generation. CoRR abs/2605.19242 (2026) - [i8]Arash Akbari, Arman Akbari, Masih Eskandar, Qitao Tan, Yixiao Chen, Jingwu Luo, Bertha Pangaribuan, Liyun Zhang, Jennifer G. Dy, Geng Yuan, Xue Lin, Gaowen Liu, Stratis Ioannidis, Yanzhi Wang:
ActQuant: Sub-4-bit Action-Guided Quantization for Vision-Language-Action Models. CoRR abs/2605.24011 (2026) - [i7]Qitao Tan, Xiaoying Song, Arman Akbari, Arash Akbari, Yanzhi Wang, Xiaoming Zhai, Lingzi Hong, Zhen Xiang, Jin Lu, Geng Yuan:
Palette: A Modular, Controllable, and Efficient Framework for On-demand Authorized Safety Alignment Relaxation in LLMs. CoRR abs/2605.24154 (2026) - [i6]Arman Akbari, Ci Zhang, Arash Akbari, Lin Zhao, Yixiao Chen, Weiwei Chen, Xuan Zhang, Geng Yuan, Yanzhi Wang:
Flash-WAM: Modality-Aware Distillation for World Action Models. CoRR abs/2606.05254 (2026) - 2025
- [c1]Mohammad Khoshkdahan
, Arman Akbari, Arash Akbari, Xuan Zhang:
Beyond Overall Accuracy: Pose- and Occlusion-Driven Fairness Analysis in Pedestrian Detection for Autonomous Driving. ITSC 2025: 3574-3579 - [i5]Juyi Lin, Amir Taherin, Arash Akbari, Arman Akbari, Lei Lu, Guangyu Chen, Taskin Padir, Xiaomeng Yang, Weiwei Chen, Yiqian Li, Xue Lin, David R. Kaeli, Pu Zhao, Yanzhi Wang:
VOTE: Vision-Language-Action Optimization with Trajectory Ensemble Voting. CoRR abs/2507.05116 (2025) - [i4]Amir Taherin, Juyi Lin, Arash Akbari, Arman Akbari, Pu Zhao, Weiwei Chen, David R. Kaeli, Yanzhi Wang:
Cross-Platform Scaling of Vision-Language-Action Models from Edge to Cloud GPUs. CoRR abs/2509.11480 (2025) - [i3]Timothy Rupprecht, Enfu Nan, Arash Akbari, Arman Akbari, Lei Lu, Priyanka Maan, Sean Duffy, Pu Zhao, Yumei He, David R. Kaeli, Yanzhi Wang:
RAGs to Riches: RAG-like Few-shot Learning for Large Language Model Role-playing. CoRR abs/2509.12168 (2025) - [i2]Mohammad Khoshkdahan, Arman Akbari, Arash Akbari, Xuan Zhang:
Beyond Overall Accuracy: Pose- and Occlusion-driven Fairness Analysis in Pedestrian Detection for Autonomous Driving. CoRR abs/2509.26166 (2025) - [i1]Pu Zhao, Xuan Shen, Zhenglun Kong, Yixin Shen, Sung-En Chang, Arash Akbari, Timothy Rupprecht, Lei Lu, Enfu Nan, Changdi Yang, Yumei He, Weiyan Shi, Xingchen Xu, Yu Huang, Wei Jiang, Wei Wang, Yue Chen, Yong He, Yanzhi Wang:
Open-Source Multimodal Moxin Models with Moxin-VLM and Moxin-VLA. CoRR abs/2512.22208 (2025)
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