Junlin He

21 papers A* 3A 2Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
ADV-0: Closed-Loop Min-Max Adversarial Training for Long-Tail Robustness in Autonomous Driving.
CoRR
Tong Nie, Yihong Tang, Junlin He, Yuewen Mei, Jie Sun, Lijun Sun, Wei Ma, Jian Sun
2025 J jnl
Activity-Aware Human Mobility Prediction With Hierarchical Graph Attention Recurrent Network.
IEEE Trans. Intell. Transp. Syst.
Yihong Tang, Junlin He, Zhan Zhao
2025 J jnl
Deep Multi-View Contrastive Clustering via Graph Structure Awareness.
IEEE Trans. Image Process.
Lunke Fei, Junlin He, Qi Zhu, Shuping Zhao, Jie Wen, Yong Xu
2025 J jnl
E3AD: An Emotion-Aware Vision-Language-Action Model for Human-Centric End-to-End Autonomous Driving.
CoRR
Yihong Tang, Haicheng Liao, Tong Nie, Junlin He, Ao Qu, Kehua Chen, Wei Ma, Zhenning Li, Lijun Sun, Chengzhong Xu
2025 A* conf
Geolocation Representation from Large Language Models Are Generic Enhancers for Spatio-Temporal Learning.
AAAI
Junlin He, Tong Nie, Wei Ma
2025 — conf
Paper Document Anti-counterfeiting System Based on Digital Signatures and Image Processing.
ACNS Workshops (3)
Yiyan Zhao, Jiwu Jing, Junlin He, Fangyu Zheng, Chunjing Kou
2025 J jnl
Solving Oversmoothing in GNNs via Nonlocal Message Passing: Algebraic Smoothing and Depth Scalability.
CoRR
Weiqi Guan, Junlin He
2025 J jnl
Steerable Adversarial Scenario Generation through Test-Time Preference Alignment.
CoRR
Tong Nie, Yuewen Mei, Yihong Tang, Junlin He, Jie Sun, Haotian Shi, Wei Ma, Jian Sun
2024 — conf
ARPSSO: An OIDC-Compatible Privacy-Preserving SSO Scheme Based on RP Anonymization.
ESORICS (2)
Junlin He, Lingguang Lei, Yuewu Wang, Pingjian Wang, Jiwu Jing
2024 J jnl
Geolocation Representation from Large Language Models are Generic Enhancers for Spatio-Temporal Learning.
CoRR
Junlin He, Tong Nie, Wei Ma
2024 J jnl
Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach.
CoRR
Tong Nie, Junlin He, Yuewen Mei, Guoyang Qin, Guilong Li, Jian Sun, Wei Ma
2024 A* conf
Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization.
NeurIPS
Junlin He, Jinxiao Du, Wei Ma
2024 J jnl
Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization.
CoRR
Junlin He, Jinxiao Du, Wei Ma
2024 A* conf
Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization.
NeurIPS
Junlin He, Jinxiao Du, Susu Xu, Wei Ma
2024 J jnl
Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization.
CoRR
Junlin He, Jinxiao Du, Susu Xu, Wei Ma
2023 A conf
Query-dominant User Interest Network for Large-Scale Search Ranking.
CIKM
Tong Guo, Xuanping Li, Haitao Yang, Xiao Liang, Yong Yuan, Jingyou Hou, Bingqing Ke, Chao Zhang, Junlin He, Shunyu Zhang, Enyun Yu, Wenwu Ou
2023 J jnl
Query-dominant User Interest Network for Large-Scale Search Ranking.
CoRR
Tong Guo, Xuanping Li, Haitao Yang, Xiao Liang, Yong Yuan, Jingyou Hou, Bingqing Ke, Chao Zhang, Junlin He, Shunyu Zhang, Enyun Yu, Wenwu Ou
2022 J jnl
HGARN: Hierarchical Graph Attention Recurrent Network for Human Mobility Prediction.
CoRR
Yihong Tang, Junlin He, Zhan Zhao
2022 A conf
HQANN: Efficient and Robust Similarity Search for Hybrid Queries with Structured and Unstructured Constraints.
CIKM
Wei Wu, Junlin He, Yu Qiao, Guoheng Fu, Li Liu, Jin Yu
2022 J jnl
HQANN: Efficient and Robust Similarity Search for Hybrid Queries with Structured and Unstructured Constraints.
CoRR
Wei Wu, Junlin He, Yu Qiao, Guoheng Fu, Li Liu, Jin Yu
2020 — conf
Review on Machine learning and its application in Atmospheric science and Human Behavior Recognition.
SPML
Hongyu Chen, Meiqiu Jiang, Yixin Liu, Junlin He, Haoru Li