Raika Karimi - RankMe

13 papers Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	MTLSO: A Multi-Task Learning Approach for Logic Synthesis Optimization. ASP-DAC Faezeh Faez, Raika Karimi, Yingxue Zhang, Xing Li, Lei Chen, Mingxuan Yuan, Mahdi Biparva
2025	J	`jnl`	Mem2Ego: Empowering Vision-Language Models with Global-to-Ego Memory for Long-Horizon Embodied Navigation. CoRR Lingfeng Zhang, Yuecheng Liu, Zhanguang Zhang, Matin Aghaei, Yaochen Hu, Hongjian Gu, Mohammad Ali Alomrani, David Gamaliel Arcos Bravo, Raika Karimi, Atia Hamidizadeh, Haoping Xu, Guowei Huang, Zhanpeng Zhang, Tongtong Cao, Weichao Qiu, Xingyue Quan, Jianye Hao, Yuzheng Zhuang, Yingxue Zhang
2025	J	`jnl`	Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs. CoRR Mohammad Ali Alomrani, Yingxue Zhang, Derek Li, Qianyi Sun, Soumyasundar Pal, Zhanguang Zhang, Yaochen Hu, Rohan Deepak Ajwani, Antonios Valkanas, Raika Karimi, Peng Cheng, Yunzhou Wang, Pengyi Liao, Hanrui Huang, Bin Wang, Jianye Hao, Mark Coates
2024	J	`jnl`	Logic Synthesis Optimization with Predictive Self-Supervision via Causal Transformers. CoRR Raika Karimi, Faezeh Faez, Yingxue Zhang, Xing Li, Lei Chen, Mingxuan Yuan, Mahdi Biparva
2024	J	`jnl`	MTLSO: A Multi-Task Learning Approach for Logic Synthesis Optimization. CoRR Faezeh Faez, Raika Karimi, Yingxue Zhang, Xing Li, Lei Chen, Mingxuan Yuan, Mahdi Biparva
2024	J	`jnl`	Scalable Graph Self-Supervised Learning. CoRR Ali Saheb Pasand, Reza Moravej, Mahdi Biparva, Raika Karimi, Ali Ghodsi
2024	J	`jnl`	Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization. CoRR Mahdi Biparva, Raika Karimi, Faezeh Faez, Yingxue Zhang
2024	J	`jnl`	Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization. Trans. Mach. Learn. Res. Mahdi Biparva, Raika Karimi, Faezeh Faez, Yingxue Zhang
2022	J	`jnl`	DF-SSmVEP: Dual Frequency Aggregated Steady-State Motion Visual Evoked Potential Design with Bifold Canonical Correlation Analysis. CoRR Raika Karimi, Arash Mohammadi, Amir Asif, Habib Benali
2022	J	`jnl`	DF-SSmVEP: Dual Frequency Aggregated Steady-State Motion Visual Evoked Potential Design with Bifold Canonical Correlation Analysis. Sensors Raika Karimi, Arash Mohammadi, Amir Asif, Habib Benali
2020	—	`conf`	Deep Video Canonical Correlation Analysis for Steady State motion Visual Evoked Potential Feature Extraction. EUSIPCO Raika Karimi, Arash Mohammadi, Laura Rosero, Amir Asif
2019	—	`conf`	Adaptive Subject-Specific Bayesian Spectral Filtering for Single Trial Eeg Classification. GlobalSIP Mahsa Mirgholami, Soroosh Shahtalebi, William Cui, Raika Karimi, Amir Asif, Arash Mohammadi
2019	—	`conf`	Study on Novel Designs with Reduced Fatigue for Steady State Motion Visual Evoked Potentials. GlobalSIP Raika Karimi, Laura Rosero, Mahsa Mirgholami, Amir Asif, Arash Mohammadi