Temporal Heterogeneous Interaction Graph Embedding for Next-Item Recommendation. - Yugang Ji; Mingyang Yin; Yuan Fang 001; Hongxia Yang; Xiangwei Wang; Tianrui Jia; Chuan Shi 001 (ECML/PKDD (3), 2020)

A Quantitative Study of Security Bug Fixes of GitHub Repositories. - Daito Nakano; Mingyang Yin; Ryosuke Sato 001; Abram Hindle; Yasutaka Kamei; Naoyasu Ubayashi (CoRR, 2020)

Semi-supervised Co-Clustering on Attributed Heterogeneous Information Networks. - Yugang Ji; Chuan Shi 001; Yuan Fang 001; Xiangnan Kong; Mingyang Yin (Inf. Process. Manag., 2020)

Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation. - Yongji Wu; Defu Lian; Neil Zhenqiang Gong; Lu Yin; Mingyang Yin; Jingren Zhou 001; Hongxia Yang (WWW, 2021)

Federated Graph Learning - A Position Paper. - Huanding Zhang; Tao Shen 002; Fei Wu 001; Mingyang Yin; Hongxia Yang; Chao Wu 001 (CoRR, 2021)

Rethinking Lifelong Sequential Recommendation with Incremental Multi-Interest Attention. - Yongji Wu; Lu Yin; Defu Lian; Mingyang Yin; Neil Zhenqiang Gong; Jingren Zhou 001; Hongxia Yang (CoRR, 2021)

Driving Behavior Analysis of City Buses Based on Real-Time GNSS Traces and Road Information. - Yuan Yang; Jingjie Yan; Jing Guo; Yujin Kuang; Mingyang Yin; Shiniu Wang; Caoyuan Ma (Sensors, 2021)

Accelerating Large-Scale Heterogeneous Interaction Graph Embedding Learning via Importance Sampling. - Yugang Ji; Mingyang Yin; Hongxia Yang; Jingren Zhou 001; Vincent W. Zheng; Chuan Shi 001; Yuan Fang 001 (ACM Trans. Knowl. Discov. Data, 2021)

Affective Interaction in Domestic Service System: Emotion Evaluation and Regulation for the Older Adults. - Chaolong Qin; Aiguo Song; Yu Zhao; Mingyang Yin (ACIIW, 2022)

Intra-session Context-aware Feed Recommendation in Live Systems. - Luo Ji; Gao Liu; Mingyang Yin; Hongxia Yang (CIKM, 2022)

AD-AUG: Adversarial Data Augmentation for Counterfactual Recommendation. - Yifan Wang 014; Yifang Qin; Yu Han; Mingyang Yin; Jingren Zhou 001; Hongxia Yang; Ming Zhang 004 (ECML/PKDD (1), 2022)

Deep Unified Representation for Heterogeneous Recommendation. - Chengqiang Lu; Mingyang Yin; Shuheng Shen; Luo Ji; Qi Liu 003; Hongxia Yang (WWW, 2022)

Developer-Applied Accelerations in Continuous Integration: A Detection Approach and Catalog of Patterns. - Mingyang Yin; Yutaro Kashiwa; Keheliya Gallaba; Mahmoud Alfadel; Yasutaka Kamei; Shane McIntosh (ASE, 2024)

Hierarchical Reinforcement Learning for Temporal Abstraction of Listwise Recommendation. - Luo Ji; Gao Liu; Mingyang Yin; Hongxia Yang; Jingren Zhou 001 (CoRR, 2024)