Where did the writer of 'CP-index: on the efficient indexing of large graphs' receive his BS degree in electrical engineering?
National Taiwan University
CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection. (2019) authored by Philip S. Yu. Wei Fan et al.: Dynamic Shaker Detection from Evolving Entities. (2013) authored by Philip S. Yu. (2018) authored by Philip S. Yu. Vahid Noroozi et al.: Virtual Adversarial Training for Semi-supervised Verification Tasks. (2018) authored by Philip S. Yu. Tao Zhang et al.: Revisiting model fairness via adversarial examples. (2018) authored by Philip S. Yu. Hu Xu et al.: Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction. (2018) authored by Philip S. Xuming Hu et al.: Entity-to-Text Based Data Augmentation Approach for Named Entity Recognition Tasks. (2019) authored by Philip S. Yu. Lichao Sun et al.: An Introduction to Image Synthesis with Generating Nature adversarial samples on BERT. authored by Philip S. Yu. Xiaomin Wang et al.: Video-level Multi-model Fusion for Action Recognition. (2019) authored by Philip S. Yu. Nooshin Mojab et al.: Deep Multi-Task Learning for Interpretable Glaucoma Detection. (2019) authored by Philip S. Yu. Charu C. Aggarwal et al.: Adaptive Piggybacking Schemes for Video-On-Demand Philip S. Yu. Jiangshu Du et al.: Inconsistent Matters: A Knowledge-Guided Dual-consistency Network for Multi-Modal Rumor Detection. (2019) authored by Philip S. Yu. Jianguo Zhang et al.: Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce. (2020) authored by Philip S. Yu. Jianguo Zhang et al.: Xiaoqin Pan et al.: Deep learning for drug repurposing: methods, databases, and applications. (2022) authored by Philip S. Yu. Jiangshu Du et al.: All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm. (2021) authored by Philip S. Yu. Lichao Sun et al.: Kollector: Detecting Fraudulent Activities Philip S. Yu. Vahid Noroozi et al.: SEVEN: Deep Semi-supervised Verification Networks. (2017) authored by Philip S. Yu. Yibo Wang et al.: A Distribution-Aware LoRA-Based Adversarial Attack against Pre-trained Language Models. (2022) authored by Philip S. Yu. Zhiyu Yao et al.: Multi-Task Learning of Generalizable Representations for authored by Philip S. Yu. Congying Xia et al.: Composed Variational Natural Language Generation for Few-shot Intents. (2020) authored by Philip S. Yu. Yunbo Wang et al.: A Recurrent Neural Network for Spatiotemporal Predictive Learning. (2021) authored by Philip S. Yu.
[INST]
Utilize the provided context information, to generate answers to the following question: 
- Generate the answer to the question based on the provided context.
- Avoid including any explanations or apologies in your responses.
- Only respond to questions that ask for the answer to the target question without any additional information.
- Strictly provide the answer without any additional text.
Question: Where did the writer of 'CP-index: on the efficient indexing of large graphs' receive his BS degree in electrical engineering?
Context: CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection. (2019) authored by Philip S. Yu. Wei Fan et al.: Dynamic Shaker Detection from Evolving Entities. (2013) authored by Philip S. Yu. (2018) authored by Philip S. Yu. Vahid Noroozi et al.: Virtual Adversarial Training for Semi-supervised Verification Tasks. (2018) authored by Philip S. Yu. Tao Zhang et al.: Revisiting model fairness via adversarial examples. (2018) authored by Philip S. Yu. Hu Xu et al.: Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction. (2018) authored by Philip S. Xuming Hu et al.: Entity-to-Text Based Data Augmentation Approach for Named Entity Recognition Tasks. (2019) authored by Philip S. Yu. Lichao Sun et al.: An Introduction to Image Synthesis with Generating Nature adversarial samples on BERT. authored by Philip S. Yu. Xiaomin Wang et al.: Video-level Multi-model Fusion for Action Recognition. (2019) authored by Philip S. Yu. Nooshin Mojab et al.: Deep Multi-Task Learning for Interpretable Glaucoma Detection. (2019) authored by Philip S. Yu. Charu C. Aggarwal et al.: Adaptive Piggybacking Schemes for Video-On-Demand Philip S. Yu. Jiangshu Du et al.: Inconsistent Matters: A Knowledge-Guided Dual-consistency Network for Multi-Modal Rumor Detection. (2019) authored by Philip S. Yu. Jianguo Zhang et al.: Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce. (2020) authored by Philip S. Yu. Jianguo Zhang et al.: Xiaoqin Pan et al.: Deep learning for drug repurposing: methods, databases, and applications. (2022) authored by Philip S. Yu. Jiangshu Du et al.: All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm. (2021) authored by Philip S. Yu. Lichao Sun et al.: Kollector: Detecting Fraudulent Activities Philip S. Yu. Vahid Noroozi et al.: SEVEN: Deep Semi-supervised Verification Networks. (2017) authored by Philip S. Yu. Yibo Wang et al.: A Distribution-Aware LoRA-Based Adversarial Attack against Pre-trained Language Models. (2022) authored by Philip S. Yu. Zhiyu Yao et al.: Multi-Task Learning of Generalizable Representations for authored by Philip S. Yu. Congying Xia et al.: Composed Variational Natural Language Generation for Few-shot Intents. (2020) authored by Philip S. Yu. Yunbo Wang et al.: A Recurrent Neural Network for Spatiotemporal Predictive Learning. (2021) authored by Philip S. Yu.
[/INST] Answer:
