LRNNET: A Light-Weighted Network with Efficient Reduced Non-Local Operation for Real-Time Semantic Segmentation. - Weihao Jiang; Zhaozhi Xie; Yaoyi Li; Chang Liu 078; Hongtao Lu 001 (ICME Workshops, 2020)

A Highly Efficient Training-Aware Convolutional Neural Network Compression Paradigm. - Chang Liu 078; Hongtao Lu (ICME Workshops, 2020)

NoMorelization: Building Normalizer-Free Models from a Sample's Perspective. - Chang Liu 078; Yuwen Yang; Yue Ding 001; Hongtao Lu 001 (CoRR, 2022)

Completely Heterogeneous Federated Learning. - Chang Liu 078; Yuwen Yang; Xun Cai; Yue Ding 001; Hongtao Lu 001 (CoRR, 2022)

EDEN: A Plug-in Equivariant Distance Encoding to Beyond the 1-WL Test. - Chang Liu 078; Yuwen Yang; Yue Ding 001; Hongtao Lu 001 (CoRR, 2022)

Position-Aware Subgraph Neural Networks with Data-Efficient Learning. - Chang Liu 078; Yuwen Yang; Zhe Xie; Hongtao Lu 001; Yue Ding 001 (WSDM, 2023)

Mediate: Mixture Domain Model-Agnostic Federated Learning. - Chang Liu 078; Yuwen Yang; Xun Cai; Yue Ding 001; Hongtao Lu 001 (DASFAA (1), 2024)

UNIDEAL: Curriculum Knowledge Distillation Federated Learning. - Yuwen Yang; Chang Liu 078; Xun Cai; Suizhi Huang; Hongtao Lu 001; Yue Ding 001 (ICASSP, 2024)

BARTENDER: A simple baseline model for task-level heterogeneous federated learning. - Yuwen Yang; Yuxiang Lu; Suizhi Huang; Shalayiding Sirejiding; Chang Liu 078; Muyang Yi; Zhaozhi Xie; Yue Ding 001; Hongtao Lu 001 (ICME, 2024)

Decoupling Classification and Localization of CLIP. - Muyang Yi; Zhaozhi Xie; Yuwen Yang; Chang Liu 078; Yue Ding 001; Hongtao Lu 001 (ICME Workshops, 2024)

Beyond Binary Preference: Leveraging Bayesian Approaches for Joint Optimization of Ranking and Calibration. - Chang Liu 078; Qiwei Wang; Wenqing Lin; Yue Ding 001; Hongtao Lu 001 (KDD, 2024)

DAG: Deep Adaptive and Generative K-Free Community Detection on Attributed Graphs. - Chang Liu 078; Yuwen Yang; Yue Ding 001; Hongtao Lu 001; Wenqing Lin; Ziming Wu; Wendong Bi (KDD, 2024)

NT-LLM: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models. - Yanbiao Ji; Chang Liu 078; Xin Chen 077; Yue Ding 001; Dan Luo; Mei Li; Wenqing Lin; Hongtao Lu 001 (CoRR, 2024)

Topology-Aware Popularity Debiasing via Simplicial Complexes. - Yanbiao Ji; Yue Ding 001; Chang Liu 078; Yuxiang Lu; Xin Xin 003; Hongtao Lu 001 (CoRR, 2024)

Towards Personalized Federated Multi-Scenario Multi-Task Recommendation. - Yue Ding 001; Yanbiao Ji; Xun Cai; Xin Xin 003; Yuxiang Lu; Suizhi Huang; Chang Liu 078; Xiaofeng Gao 001; Tsuyoshi Murata; Hongtao Lu 001 (WSDM, 2025)

Generating Negative Samples for Multi-Modal Recommendation. - Yanbiao Ji; Yue Ding 001; Dan Luo; Chang Liu 078; Jing Tong; Shaokai Wu; Hongtao Lu 001 (CoRR, 2025)