Independent Principal Component Analysis for biologically meaningful dimension reduction of large biological data sets. - Fangzhou Yao; Jeff Coquery; Kim-Anh Lê Cao (BMC Bioinform., 2012)

CryptVMI: Encrypted Virtual Machine Introspection in the Cloud. - Fangzhou Yao; Roy H. Campbell (IEEE CLOUD, 2014)

CouchFS: A High-Performance File System for Large Data Sets. - Fangzhou Yao; Roy H. Campbell (BigData Congress, 2014)

CryptVMI: a flexible and encrypted virtual machine introspection system in the cloud. - Fangzhou Yao; Read Sprabery; Roy H. Campbell (SCC@ASIACCS, 2014)

VMDedup: Memory De-duplication in Hypervisor. - Furquan Shaikh; Fangzhou Yao; Indranil Gupta; Roy H. Campbell (IC2E, 2014)

Ushio: Analyzing News Media and Public Trends in Twitter. - Fangzhou Yao; Kevin Chen-Chuan Chang; Roy H. Campbell (UCC, 2015)

A 30MHz Delay-Line-Based Buck Converter with 5.7%-94.8% Switching Duty Cycle. - Zhang Zhang 004; Shu Xu; Fangzhou Yao; Guangjun Xie; Xin Cheng 001 (APCCAS, 2019)

Exploiting Non-Interactive Exercises in Cognitive Diagnosis. - Fangzhou Yao; Qi Liu 003; Min Hou; Shiwei Tong; Zhenya Huang; Enhong Chen; Jing Sha; Shijin Wang 001 (IJCAI, 2023)

Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives. - Weibo Gao; Qi Liu 003; Hao Wang 076; Linan Yue; Haoyang Bi; Yin Gu; Fangzhou Yao; Zheng Zhang 048; Xin Li 064; Yuanjing He (AAAI, 2024)

FedJudge: Federated Legal Large Language Model. - Linan Yue; Qi Liu 003; Yichao Du; Weibo Gao; Ye Liu 011; Fangzhou Yao (DASFAA (5), 2024)

Federated Self-Explaining GNNs with Anti-shortcut Augmentations. - Linan Yue; Qi Liu 003; Weibo Gao; Ye Liu 011; Kai Zhang 038; Yichao Du; Li Wang 014; Fangzhou Yao (ICML, 2024)

AdaRD: An Adaptive Response Denoising Framework for Robust Learner Modeling. - Fangzhou Yao; Qi Liu 003; Linan Yue; Weibo Gao; Jiatong Li 002; Xin Li 064; Yuanjing He (KDD, 2024)

Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling. - Weibo Gao; Qi Liu 003; Linan Yue; Fangzhou Yao; Hao Wang 076; Yin Gu; Zheng Zhang 048 (NeurIPS, 2024)

Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm. - Jiatong Li 002; Qi Liu 003; Fei Wang 063; Jiayu Liu 001; Zhenya Huang; Fangzhou Yao; Linbo Zhu; Yu Su 002 (WWW, 2024)

Cooperative Classification and Rationalization for Graph Generalization. - Linan Yue; Qi Liu 003; Ye Liu 011; Weibo Gao; Fangzhou Yao; Wenfeng Li (WWW, 2024)

Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems. - Weibo Gao; Qi Liu 003; Linan Yue; Fangzhou Yao; Rui Lv; Zheng Zhang 048; Hao Wang 076; Zhenya Huang (AAAI, 2025)

GraphPrompter: Multi-Stage Adaptive Prompt Optimization for Graph In-Context Learning. - Rui Lv; Zaixi Zhang; Kai Zhang 038; Qi Liu 003; Weibo Gao; Jiawei Liu; Jiaxia Yan; Linan Yue; Fangzhou Yao (ICDE, 2025)

Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor. - Weibo Gao; Qi Liu 003; Rui Li 093; Yuze Zhao; Hao Wang 076; Linan Yue; Fangzhou Yao; Zheng Zhang 048 (KDD (1), 2025)

BoxCD: Leveraging Contrastive Probabilistic Box Embedding for Effective and Efficient Learner Modeling. - Weibo Gao; Qi Liu 003; Linan Yue; Fangzhou Yao; Zhenya Huang; Zheng Zhang 048; Rui Lv (WWW, 2025)

Empowering Federated Graph Rationale Learning with Latent Environments. - Linan Yue; Qi Liu 003; Yawen Li 001; Fangzhou Yao; Weibo Gao; Junping Du 001 (WWW, 2025)

Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor. - Weibo Gao; Qi Liu 003; Rui Li 093; Yuze Zhao; Hao Wang 076; Linan Yre; Fangzhou Yao; Zheng Zhang 048 (CoRR, 2025)

Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models. - Linan Yue; Yichao Du; Yizhi Wang; Weibo Gao; Fangzhou Yao; Li Wang 014; Ye Liu 011; Ziyu Xu; Qi Liu 003; Shimin Di; Min-Ling Zhang (CoRR, 2025)

Learning from shortcut: a shortcut-guided approach for explainable graph learning. - Linan Yue; Qi Liu 003; Ye Liu 011; Weibo Gao; Fangzhou Yao (Frontiers Comput. Sci., 2025)