Defuse: A Dependency-Guided Function Scheduler to Mitigate Cold Starts on FaaS Platforms. - Jiacheng Shen; Tianyi Yang; Yuxin Su 001; Yangfan Zhou; Michael R. Lyu (ICDCS, 2021)

AID: Efficient Prediction of Aggregated Intensity of Dependency in Large-scale Cloud Systems. - Tianyi Yang; Jiacheng Shen; Yuxin Su 001; Xiao Ling; Yongqiang Yang; Michael R. Lyu (ASE, 2021)

Characterizing and Mitigating Anti-patterns of Alerts in Industrial Cloud Systems. - Tianyi Yang; Jiacheng Shen; Yuxin Su 001; Xiaoxue Ren; Yongqiang Yang; Michael R. Lyu (DSN, 2022)

Managing Service Dependency for Cloud Reliability: The Industrial Practice. - Tianyi Yang; Baitong Li; Jiacheng Shen; Yuxin Su 001; Yongqiang Yang; Michael R. Lyu (ISSRE Workshops, 2022)

Materials Science Ontology Design with an Analytico-Synthetic Facet Analysis Framework. - Jane Greenberg; Scott McClellan; Xintong Zhao; Elijah J. Kellner; David Venator; Haoran Zhao; Jiacheng Shen; Xiaohua Hu 001; Yuan An (MTSR, 2022)

An Adaptive Resilience Testing Framework for Microservice Systems. - Tianyi Yang; Cheryl Lee; Jiacheng Shen; Yuxin Su 001; Yongqiang Yang; Michael R. Lyu (CoRR, 2022)

FUSEE: A Fully Memory-Disaggregated Key-Value Store. - Jiacheng Shen; Pengfei Zuo; Xuchuan Luo; Tianyi Yang; Yuxin Su 001; Yangfan Zhou; Michael R. Lyu (FAST, 2023)

SMART: A High-Performance Adaptive Radix Tree for Disaggregated Memory. - Xuchuan Luo; Pengfei Zuo; Jiacheng Shen; Jiazhen Gu; Xin Wang 002; Michael R. Lyu; Yangfan Zhou (OSDI, 2023)

Ditto: An Elastic and Adaptive Memory-Disaggregated Caching System. - Jiacheng Shen; Pengfei Zuo; Xuchuan Luo; Yuxin Su 001; Jiazhen Gu; Hao Feng; Yangfan Zhou; Michael R. Lyu (SOSP, 2023)

FUSEE: A Fully Memory-Disaggregated Key-Value Store (Extended Version). - Jiacheng Shen; Pengfei Zuo; Xuchuan Luo; Tianyi Yang; Yuxin Su 001; Yangfan Zhou; Michael R. Lyu (CoRR, 2023)

Research on plant seeds recognition based on fine-grained image classification. - Min Yuan; Yongkang Dong; Fuxiang Lu; Kun Zhan; Liye Zhu; Jiacheng Shen; Dingbang Ren; Xiaowen Hu; Ningning Lv (J. Electronic Imaging, 2023)

Towards Usable Neural Comment Generation via Code-Comment Linkage Interpretation: Method and Empirical Study. - Shuyao Jiang; Jiacheng Shen; Shengnan Wu; Yu Cai; Yue Yu 001; Yangfan Zhou (IEEE Trans. Software Eng., 2023)

An effective hybrid automated Chinese scoring system for medical education. - Ran Sun; Xiaohong Li; Jiacheng Shen; Weifeng Jin (Expert Syst. Appl., 2023)

MicroRes: Versatile Resilience Profiling in Microservices via Degradation Dissemination Indexing. - Tianyi Yang; Cheryl Lee; Jiacheng Shen; Yuxin Su 001; Cong Feng; Yongqiang Yang; Michael R. Lyu (ISSTA, 2024)

CHIME: A Cache-Efficient and High-Performance Hybrid Index on Disaggregated Memory. - Xuchuan Luo; Jiacheng Shen; Pengfei Zuo; Xin Wang 002; Michael R. Lyu; Yangfan Zhou (SOSP, 2024)

CM-DQN: A Value-Based Deep Reinforcement Learning Model to Simulate Confirmation Bias. - Jiacheng Shen; Lihan Feng (CoRR, 2024)

Reinforcement Learning for Finite Space Mean-Field Type Games. - Kai Shao; Jiacheng Shen; Chijie An; Mathieu Laurière (CoRR, 2024)

A Memory-Disaggregated Radix Tree. - Xuchuan Luo; Pengfei Zuo; Jiacheng Shen; Jiazhen Gu; Xin Wang 002; Michael Rung-Tsong Lyu; Yangfan Zhou (ACM Trans. Storage, 2024)

GRAPHGPT-O: Synergistic Multimodal Comprehension and Generation on Graphs. - Yi Fang; Bowen Jin; Jiacheng Shen; Sirui Ding; Qiaoyu Tan; Jiawei Han 001 (CVPR, 2025)

LLM-assisted Mutation for Whitebox API Testing. - Jia Li; Jiacheng Shen; Yuxin Su 001; Michael R. Lyu (CoRR, 2025)

ColorGo: Directed Concolic Execution. - Jia Li; Jiacheng Shen; Yuxin Su 001; Michael R. Lyu (CoRR, 2025)

Graph-MLLM: Harnessing Multimodal Large Language Models for Multimodal Graph Learning. - Jiajin Liu; Dongzhe Fan; Jiacheng Shen; Chuanhao Ji; Daochen Zha; Qiaoyu Tan (CoRR, 2025)