There are major conferences in the publications of ML&DB4AI, including:
"Incremental Tabular Learning on Heterogeneous Feature Space." Accepted by SIGMOD 2023. Hanmo LIU, Shimin DI, Lei CHEN.
"Revisiting Injective Attacks on Recommender Systems." Accepted by NeurIPS 2022. Haoyang LI, Shimin DI, Lei CHEN.
"IS-MVSNet: Importance sampling-based MVSNet." ECCV 2022. Likang WANG, Yue GONG, Xinjun MA, Kaixuan ZHOU, Lei CHEN.
"On Glocal Explainability of Graph Neural Networks." DASFAA 2022. Ge LV, Lei CHEN, Caleb Chen CAO.
"Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks." VLDB 2022. Jingshu PENG, Zhao CHEN, Yingxia SHAO, Yanyan SHEN, Lei CHEN, Jiannong CAO.
"Black-box Adversarial Attack and Defense on Graph Neural Networks." ICDE 2022. Haoyang LI, Shimin DI, Zijian LI, Lei CHEN, Jiannong CAO.
"AutoGEL: An Automated Graph Neural Network with Explicit Link Information." NeurIPS 2021. Zhili WANG, Shimin DI, Lei CHEN.
"GraphANGEL: Adaptive and Structure-Aware Sampling on Graph Neural Networks." ICDM 2021. Jingshu PENG, Yanyan SHEN, Lei CHEN.
"FluxEV: A Fast and Effective Unsupervised Framework for Time-Series Anomaly Detection." WSDM 2021. Jia LI, Shimin DI, Yanyan SHEN, Lei CHEN.
"Mcore: Multi-Agent Collaborative Learning for Knowledge-Graph-Enhanced Recommendation." ICDM 2021. Xujia LI, Yanyan SHEN, Lei CHEN.
"Cache-based Graph Neural Networks for Dynamic Graphs.” CIKM 2021. Haoyang Li, Lei Chen.
"Efficient, Simple and Automated Negative Sampling for Knowledge Graph Embedding." VLDBJ 2021. Yongqi ZHANG, Quanming YAO, Lei CHEN.
"Searching to Sparsify Tensor Decomposition for N-ary Relational Data." WWW 2021. Shimin DI, Quanming YAO, Lei CHEN.
"Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding." ICDE 2021. Shimin DI, Yongqi ZHANG, Quanming YAO, Lei CHEN.
"Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding.” NeurIPS 2020. Yongqi ZHANG, Quanming YAO, Lei CHEN.
"AutoSF: Searching Scoring Functions for Knowledge Graph Embedding." ICDE 2020. Yongqi ZHANG, Quanming YAO, Wenyuan Dai, Lei Chen.
"NSCaching: simple and efficient negative sampling for knowledge graph embedding." ICDE 2019. Yongqi ZHANG, Quanming YAO, Yingxia SHAO, Lei CHEN.
"Relation Extraction via Domain-aware Transfer Learning." SIGKDD 2019. Shimin DI, Yanyan SHEN, Lei CHEN.
"Transfer Learning via Feature Isomorphism Discovery." SIGKDD 2018. Shimin DI, Jingshu PENG, Yanyan SHEN, Lei CHEN.
"Context-aware academic collaborator recommendation." KDD 2018. Zheng Liu, Xie Xing, Lei Chen.