谢希科，中国科学技术大学苏州高等研究院特任研究员，博士生导师，计算机学会数据库专委会委员，教育战略学会大数据专委会委员。主要从事数据库、数据挖掘和机器学习等方面的研究工作，重点关注图计算、流计算、和数据驱动的人工智能方法。近期研究兴趣包括图机器学习系统、大模型长序列推理及检索增强生成、神经数据结构与推理机制和数据探索，以及相关技术在生物医学工程领域的应用。已在大数据领域的国际重要学术期刊（包括TPAMI、TODS、TON、VLDBJ、TKDE、TC等）及会议（包括SIGMOD、VLDB、ICDE、ICLR等）发表论文100余篇，其中计算机学会推荐 A类论文50余篇。曾担任过30多个大数据领域重要国际会议(包括PVLDB、ICDE、NeurIPS、ICLR、SIGIR、KDD、WWW、AAAI、IJCAI等)的程序委员会委员，和20多个重要国际期刊(包括ACM Computing Survey、TODS、VLDBJ、TKDE等)的审稿人。主持包括3项国家自然科学基金面上项目在内的20余项课题。 工作经历 2016/08-至今，中国科大苏州高等研究院，特任研究员 2016/08-2023/05，中国科大计算机学院，特任研究员 2013/08-2016/07，丹麦奥尔堡大学，助理教授 学习经历 2008/06-2012/02，香港大学 博士 2003/09-2006/03，西安交通大学 硕士 1999/09-2003/06，西安交通大学 学士

大数据管理和分析、机器学习驱动的数据处理、智能交通、数据质量、区块链、群智感知应用研究等

1. Capsule: an Out-of-Core Training Mechanism for Colossal GNNs. Yongan Xiang, Zezhong Ding, Rui Guo, Shangyou Wang, Xike Xie*, S. Kevin Zhou. SIGMOD 2025 (CCF 推荐A类) 2. HIGGS: Hierarchy-Guided Graph Stream Summarization. Xuan Zhao, Xike Xie*, Christian Jensen. ICDE 2025 (CCF 推荐A类) 3. ClusPar: A Game-Theoretic Approach for Efficient and Scalable Streaming Edge Partitioning. Zezhong Ding, Deyu Kong, Zhuoxu Zhang, Xike Xie*, Jianliang Xu. TC 2025 (CCF 推荐A类) 4. Play like a Vertex: A Stackelberg Game Approach for Streaming Graph Partitioning. Zezhong Ding, Yongan Xiang, Shangyou Wang, Xike Xie*, S. Kevin Zhou. SIGMOD 2024 (CCF 推荐A类) 5. Learning to Sketch: A Neural Approach to Item Frequency Estimation in Streaming Data. Yukun Cao, Yuan Feng, Hairu Wang, Xike Xie*, S. Kevin Zhou*. TPAMI 2024 (CCF 推荐A类) 6. Partial Optimal Transport Based Out-of-Distribution Detection for Open-Set Semi-Supervised Learning. Yilong Ren, Chuanwen Feng, Xike Xie*. S. Kevin Zhou. IJCAI 2024 (CCF 推荐A类) 7. Prompt Learning with Extended Kalman Filter for Pre-trained Language Models. Quan Li, Xike Xie*. Chao Wang*, S. Kevin Zhou. IJCAI 2024 (CCF 推荐A类) 8. Mayfly: a Neural Data Structure for Graph Stream Summarization. Yuan Feng, Yukun Cao, Hairu Wang, Xike Xie*, S. Kevin Zhou. ICLR 2024 Spotlight 9. Attacks on Continual Semantic Segmentation by Perturbing Incremental Samples. Zhidong Yu, Wei Yang*, Xike Xie*, Zhenbo Shi. AAAI 2024 (CCF 推荐A类) 10. TIKP: Text-to-Image Knowledge Preservation for Continual Semantic Segmentation. Zhidong Yu, Wei Yang*, Xike Xie*, Zhenbo Shi. AAAI 2024 (CCF 推荐A类) 11. A Probabilistic Sketch for Summarizing Cold Items of Data Streams. Yongqiang Liu, Xike Xie*. TON 2023 (CCF 推荐A类) 12. Multithreading Heterogeneous Graph Aggregation. Kai Zou, Haoyun Li, Xike Xie*, Sean X. Wang. TKDE 2023 (CCF 推荐A类) 13. OT-Filter: An Optimal Transport Filter for Learning with Noisy Labels. Chuanwen Feng, Yilong Ren, Xike Xie*. CVPR 2023 (CCF 推荐A类) 14. Learn to Explore: on Bootstrapping Interactive Data Exploration with Meta-learning. Yukun Cao, Xike Xie*, Kexing Huang. ICDE 2023 (CCF 推荐A类) 15. Meta-sketch: A Neural Data Structure for Estimating Item Frequencies of Data Streams. Yukun Cao, Yuan Feng, Xike Xie*. AAAI 2023 (CCF 推荐A类) 16. GX-Plug: a Middleware for Plugging Accelerators to Distributed Graph Processing. Kai Zou, Xike Xie*, Qi Li, Deyu Kong. ICDE 2022 (CCF 推荐A类) 17. Clustering-based Partitioning for Large Web Graphs. Deyu Kong, Xike Xie*, Zhuoxu Zhang. ICDE 2022 (CCF 推荐A类) 18. Multi-dimensional Probabilistic Regression over Imprecise Data Streams. Ran Gao, Xike Xie*, Kai Zou, Torben Bach Pedersen. TheWebConf 2022 (CCF 推荐A类) 19. XY-Sketch: on Sketching Data Streams at Web Scale. Yongqiang Liu, Xike Xie*. TheWebConf 2021 (CCF 推荐A类) 20. On Efficient and Scalable Time-Continuous Spatial Crowdsourcing. Ting Wang, Xike Xie*, Xin Cao, Torben Bach Pedersen, Yang Wang, Mingjun Xiao. ICDE 2021 (CCF 推荐A类)