Lu, Qinghua

7 publications

IJCAI 2025 Federated Low-Rank Adaptation for Foundation Models: A Survey Yiyuan Yang, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang, Chengqi Zhang

AAAI 2023 Federated Learning on Non-IID Graphs via Structural Knowledge Sharing Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang

NeurIPS 2023 Towards Self-Interpretable Graph-Level Anomaly Detection Yixin Liu, Kaize Ding, Qinghua Lu, Fuyi Li, Leo Yu Zhang, Shirui Pan

AAAI 2022 FedProto: Federated Prototype Learning Across Heterogeneous Clients Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Qinghua Lu, Jing Jiang, Chengqi Zhang

NeurIPS 2021 CO-PILOT: COllaborative Planning and reInforcement Learning on Sub-Task Curriculum Shuang Ao, Tianyi Zhou, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang

NeurIPS 2020 Cooperative Heterogeneous Deep Reinforcement Learning Han Zheng, Pengfei Wei, Jing Jiang, Guodong Long, Qinghua Lu, Chengqi Zhang

AAAI 2020 Going Deep: Graph Convolutional Ladder-Shape Networks Ruiqi Hu, Shirui Pan, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang