Yukun Cao (曹宇坤)

Yukun Cao (曹宇坤)

Ph.D. candidate, USTC CS

👦 About me

Hi！I am a second-year Ph.D. student in the School of Computer Science and Technology, the University of Science and Technology of China (USTC,中国科大计算机学院); Data Darkness Lab (DDL Lab, led by Prof. Xike Xie (谢希科)), Center for Medical Imaging, Robotics, Analytic Computing & Learning (MIRACLE Center, led by Prof. S. Kevin Zhou (周少华)), Suzhou Institute for Advance Research, USTC, supervised by Prof. Xike Xie (since September 2020, postgraduate recommendation/推免入学). I received B.E. degree from the College of Computer and Information Science and College of Software, Southwest University (SWU, 西南大学) in 2020.

🔎 Research Interests

  • AI Field： Few-shot Learning, Meta-learning, Memory-augmented Network, Deep Generative Models
  • LLMs Field： Graph/KG RAG, LLMs for Graph Understanding/Reasoning, Memory Module in LLMs Agent
  • DB Field： Data/Graph Stream Processing, Data Exploration, Approximate Query Processing (AQP)
  • Focus Applications: AI for DB (e.g., Neural Data Structures, Automated Data Exploration, Learning-augmented Algorithms, Deep Generative Models-based AQP), Memory Architecture and Mechanisms in LLMs

📝 Publications

  • [Arxiv] Yukun Cao, Zengyi Gao, Zhiyang Li, Xike Xie, S Kevin Zhou: “LEGO-GraphRAG: Modularizing Graph-based Retrieval-Augmented Generation for Design Space Exploration”. Paper
  • [Arxiv] Yukun Cao, Shuo Han, Zengyi Gao, Zezhong Ding, Xike Xie, S Kevin Zhou: “GraphInsight: Unlocking Insights in Large Language Models for Graph Structure Understanding”. Paper
  • [Arxiv] Yuan Feng, Junlin Lv, Yukun Cao, Xike Xie, S. Kevin Zhou: “Optimizing KV Cache Eviction in LLMs: Adaptive Allocation for Enhanced Budget Utilization”. Paper
  • [TPAMI 24-Regular Paper (CCF-A)] Yukun Cao, Yuan Feng, Hairu Wang, Xike Xie, S. Kevin Zhou: “Learning to Sketch: A Neural Approach to Item Frequency Estimation in Streaming Data”: IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). Paper
  • [ICLR 24-Spotlight Paper (Top AI conf.)] Yuan Feng, Yukun Cao Co-First, Hairu Wang, Xike Xie, S. Kevin Zhou: “Mayfly: a Neural Data Structure for Graph Stream Summarization”: The Twelfth International Conference on Learning Representations (ICLR 2024), Spotlight (Rate:5%). Paper
  • [ICDE 23-Regular Paper (CCF-A)] Yukun Cao, Xike Xie, Kexing Huang: “Learn to Explore: on Bootstrapping Interactive Data Exploration with Meta-learning”: The 39th IEEE International Conference on Data Engineering (ICDE 2023). Paper
  • [AAAI 23-Oral Paper (CCF-A)] Yukun Cao, Yuan Feng, Xike Xie: “Meta-sketch: A Neural Data Structure for Estimating Item Frequencies of Data Streams”: Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), Oral (Rate:11%). Paper
  • [GROUP 23-Demo Paper (CCF-B)] Haoyun Li, Yukun Cao, Xike Xie: “VR-Explorer: A Demonstration of a Virtual Reality Interactive Data Exploration System”: The 2023 ACM International Conference on Supporting Group Work (GROUP 2023), Companion. Paper, Project Site
  • [KSEM 19-Long Paper (CCF-C)] Jingyuan Wang, Yukun Cao, Ye Du, Li Li: “DST: A Deep Urban Traffic Flow Prediction Framework Based on Spatial-Temporal Features”: Knowledge Science, Engineering and Management-12th International Conference (KSEM 2019).
  • [ICWE 19-Long Paper (CCF-C)] Xiaofei Xu, Yukun Cao, Li Li: “Exploring Semantic Change of Chinese Word Using Crawled Web Data”: Web Engineering-19th International Conference (ICWE 2019).
  • [KSEM 19-Long Paper (CCF-C)] Kexin Huang, Yukun Cao, Ye Du, Li Li: “Social-Aware and Sequential Embedding for Cold-Start Recommendation”: Knowledge Science, Engineering and Management-12th International Conference (KSEM 2019).

🎖 Honors and Awards

  • 2024 Suzhou Industrial Park Scholarship (苏州工业园区奖学金) at USTC.
  • 2023 Suzhou Industrial Park Scholarship (苏州工业园区奖学金) at USTC.
  • 2022 Yuan-Qing Scholarship (元庆奖学金，选拔中国科大计算机学院2022级的4名博士生) at USTC (Selecting 4 PhD students in the 2022 class of School of Computer Science).
  • 2020 Outstanding Graduates Award of Chongqing City (重庆市优秀毕业生).
  • 2020 Scholarship of Gratitude to Chinese Modern and Contemporary Scientists (感恩中国近现代科学家奖学金，面向中国西部的985/211高校评选，每所高校只评选10名) (Targeting 985/211 project Universities in Western China, each university has only 10 students).
  • 2020 Pin-Sheng Scholarship (品胜奖学金) at SWU (Rate: $\approx$ 1/480).
  • 2019 Yu-Hui Scholarship (玉辉奖学金) at SWU (Rate: $\approx$ 1/480).
  • 2017/2018/2019 three times National Scholarship (三次获得 国家奖学金) at SWU (Rate: $\approx$ 1/120).
  • 2019 Excellence in Learning Award (学习优胜奖) at SWU.
  • 2018 Advanced Individual in Technological Innovation (科创先进个人称号) at SWU.
  • 2017/2018 twice Outstanding Student Award（两次获得 三好学生称号） at SWU.

📖 Educations

  • 2022.09 - , PhD candidate in Computer Science.

    School of Computer Science and Technology, University of Science and Technology of China (CS, USTC), Hefei, Anhui.

  • 2020.09 - 2022.06, Master in Computer Science.

    School of Computer Science and Technology, University of Science and Technology of China (CS, USTC), Hefei, Anhui.

  • 2016.09 - 2020.06, Bachelor in Computer Science.

    College of Computer and Information Science and College of Software, Southwest University (CS, SWU), Beibei, Chongqing. Rank：1/126