Liu, Qiao

10 publications

ECML-PKDD 2025 Improving Temporal Knowledge Graph Reasoning with Hierarchical Semantic-Aware Contrastive Learning Renning Pang, Yao Liu, Yanglei Gan, Tingting Dai, Yashen Wang, Xiaojun Shi, Tian Lan, Qiao Liu

AAAI 2025 ScoreNet: Consistency-Driven Framework with Multi-Side Information Fusion for Session-Based Recommendation Piao Tong, Qiao Liu, Zhipeng Zhang, Yuke Wang, Tian Lan

ACML 2024 Multi-Level Relational Learning with Synergistic Graphs for Multivariate Time Series Forecasting Yang Xie, Qiao Liu, Rui Hou, Tingting Dai, Tian Lan

ECML-PKDD 2024 Session Target Pair: User Intent Perceiving Networks for Session-Based Recommendation Tingting Dai, Qiao Liu, Yang Xie, Yue Zeng, Rui Hou, Yanglei Gan

IJCAI 2024 Spatial-Temporal Perceiving: Deciphering User Hierarchical Intent in Session-Based Recommendation Xiao Wang, Tingting Dai, Qiao Liu, Shuang Liang

AAAI 2024 Synergistic Anchored Contrastive Pre-Training for Few-Shot Relation Extraction Da Luo, Yanglei Gan, Rui Hou, Run Lin, Qiao Liu, Yuxiang Cai, Wannian Gao

IJCAI 2021 Adversarial Spectral Kernel Matching for Unsupervised Time Series Domain Adaptation Qiao Liu, Hui Xue

NeurIPS 2021 Boost Neural Networks by Checkpoints Feng Wang, Guoyizhe Wei, Qiao Liu, Jinxiang Ou, Xian Wei, Hairong Lv

AAAI 2020 Multi-Task Driven Feature Models for Thermal Infrared Tracking Qiao Liu, Xin Li, Zhenyu He, Nana Fan, Di Yuan, Wei Liu, Yongsheng Liang

NeurIPS 2020 Reinforced Molecular Optimization with Neighborhood-Controlled Grammars Chencheng Xu, Qiao Liu, Minlie Huang, Tao Jiang