Review on Machine learning and its application in Atmospheric science and Human Behavior Recognition. - Hongyu Chen; Meiqiu Jiang; Yixin Liu; Junlin He; Haoru Li (SPML, 2020)

HQANN: Efficient and Robust Similarity Search for Hybrid Queries with Structured and Unstructured Constraints. - Wei Wu; Junlin He; Yu Qiao; Guoheng Fu; Li Liu; Jin Yu (CIKM, 2022)

HGARN: Hierarchical Graph Attention Recurrent Network for Human Mobility Prediction. - Yihong Tang; Junlin He; Zhan Zhao (CoRR, 2022)

Query-dominant User Interest Network for Large-Scale Search Ranking. - Tong Guo; Xuanping Li; Haitao Yang; Xiao Liang; Yong Yuan; Jingyou Hou; Bingqing Ke; Chao Zhang; Junlin He; Shunyu Zhang; Enyun Yu; Wenwu Ou (CIKM, 2023)

ARPSSO: An OIDC-Compatible Privacy-Preserving SSO Scheme Based on RP Anonymization. - Junlin He; Lingguang Lei; Yuewu Wang; Pingjian Wang; Jiwu Jing (ESORICS (2), 2024)

Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization. - Junlin He; Jinxiao Du; Wei Ma (NeurIPS, 2024)

Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization. - Junlin He; Jinxiao Du; Susu Xu; Wei Ma (NeurIPS, 2024)

Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach. - Tong Nie; Junlin He; Yuewen Mei; Guoyang Qin; Guilong Li; Jian Sun 010; Wei Ma (CoRR, 2024)

Geolocation Representation from Large Language Models Are Generic Enhancers for Spatio-Temporal Learning. - Junlin He; Tong Nie; Wei Ma (AAAI, 2025)

Deep Multi-View Contrastive Clustering via Graph Structure Awareness. - Lunke Fei; Junlin He; Qi Zhu 001; Shuping Zhao; Jie Wen 001; Yong Xu 001 (IEEE Trans. Image Process., 2025)

Activity-Aware Human Mobility Prediction With Hierarchical Graph Attention Recurrent Network. - Yihong Tang; Junlin He; Zhan Zhao (IEEE Trans. Intell. Transp. Syst., 2025)