Learning Timestamp-Level Representations for Time Series with Hierarchical Contrastive Loss. - Zhihan Yue; Yujing Wang; Juanyong Duan; Tianmeng Yang; Congrui Huang; Bixiong Xu (CoRR, 2021)

Graph Pointer Neural Networks. - Tianmeng Yang; Yujing Wang; Zhihan Yue; Yaming Yang 001; Yunhai Tong; Jing Bai 010 (AAAI, 2022)

TS2Vec: Towards Universal Representation of Time Series. - Zhihan Yue; Yujing Wang; Juanyong Duan; Tianmeng Yang; Congrui Huang; Yunhai Tong; Bixiong Xu (AAAI, 2022)

Enhancing Self-Attention with Knowledge-Assisted Attention Maps. - Jiangang Bai; Yujing Wang; Hong Sun; Ruonan Wu; Tianmeng Yang; Pengfei Tang; Defu Cao; Mingliang Zhang 004; Yunhai Tong; Yaming Yang 001; Jing Bai 010; Ruofei Zhang; et al. (NAACL-HLT, 2022)

Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning. - Tianmeng Yang; Min Zhou 006; Yujing Wang; Zhengjie Lin; Lujia Pan; Bin Cui 001; Yunhai Tong (CIKM, 2023)

You Can't Ignore Either: Unifying Structure and Feature Denoising for Robust Graph Learning. - Tianmeng Yang; Jiahao Meng; Min Zhou 006; Yaming Yang 001; Yujing Wang; Xiangtai Li; Yunhai Tong (CIKM, 2024)

Characteristic-Aware Time-Series Representation Learning for Unsupervised Anomaly Detection. - Yaming Yang 001; Zhuo Li; Pingping Lin; Juanyong Duan; Hao Zhang; Tianmeng Yang; Congrui Huang; Zhengjie Lin; Yunhai Tong; Yujing Wang (IJCNN, 2024)

SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning. - Kaidi Li; Tianmeng Yang; Min Zhou 006; Jiahao Meng; Shendi Wang; Yihui Wu; Boshuai Tan; Hu Song; Lujia Pan; Fan Yu; Zhenli Sheng; Yunhai Tong (KDD, 2024)

RLRF4Rec: Reinforcement Learning from Recsys Feedback for Enhanced Recommendation Reranking. - Chao Sun; Yaobo Liang; Yaming Yang 001; Shilin Xu 001; Tianmeng Yang; Yunhai Tong (CoRR, 2024)