Junlin He

According to our database, Junlin He authored at least 18 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

PLAF: Pixel-wise Language-Aligned Feature Extraction for Efficient 3D Scene Understanding.

Junjie Wen, Junlin He, Fei Ma, Jinqiang Cui

CoRR, April, 2026

ADV-0: Closed-Loop Min-Max Adversarial Training for Long-Tail Robustness in Autonomous Driving.

Tong Nie, Yihong Tang, Junlin He, Yuewen Mei, Jie Sun, Lijun Sun, Wei Ma, Jian Sun

CoRR, March, 2026

2025

Solving Oversmoothing in GNNs via Nonlocal Message Passing: Algebraic Smoothing and Depth Scalability.

Weiqi Guan, Junlin He

CoRR, December, 2025

E3AD: An Emotion-Aware Vision-Language-Action Model for Human-Centric End-to-End Autonomous Driving.

Yihong Tang, Haicheng Liao, Tong Nie, Junlin He, Ao Qu, Kehua Chen, Wei Ma, Zhenning Li, Lijun Sun, ChengZhong Xu

CoRR, December, 2025

Steerable Adversarial Scenario Generation through Test-Time Preference Alignment.

Tong Nie, Yuewen Mei, Yihong Tang, Junlin He, Jie Sun, Haotian Shi, Wei Ma, Jian Sun

CoRR, September, 2025

Activity-Aware Human Mobility Prediction With Hierarchical Graph Attention Recurrent Network.

Yihong Tang, Junlin He, Zhan Zhao

IEEE Trans. Intell. Transp. Syst., February, 2025

Deep Multi-View Contrastive Clustering via Graph Structure Awareness.

Lunke Fei, Junlin He, Qi Zhu, Shuping Zhao, Jie Wen, Yong Xu

IEEE Trans. Image Process., 2025

Paper Document Anti-counterfeiting System Based on Digital Signatures and Image Processing.

Yiyan Zhao, Jiwu Jing, Junlin He, Fangyu Zheng, Chunjing Kou

Proceedings of the Applied Cryptography and Network Security Workshops, 2025

Geolocation Representation from Large Language Models Are Generic Enhancers for Spatio-Temporal Learning.

Junlin He, Tong Nie, Wei Ma

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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, Wei Ma

CoRR, 2024

Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization.

Junlin He, Jinxiao Du, Susu Xu, Wei Ma

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization.

Junlin He, Jinxiao Du, Wei Ma

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

ARPSSO: An OIDC-Compatible Privacy-Preserving SSO Scheme Based on RP Anonymization.

Junlin He, Lingguang Lei, Yuewu Wang, Pingjian Wang, Jiwu Jing

Proceedings of the Computer Security - ESORICS 2024, 2024

2023

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

CoRR, 2023

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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

HGARN: Hierarchical Graph Attention Recurrent Network for Human Mobility Prediction.

Yihong Tang, Junlin He, Zhan Zhao

CoRR, 2022

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

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2020

Review on Machine learning and its application in Atmospheric science and Human Behavior Recognition.

Hongyu Chen, Meiqiu Jiang, Yixin Liu, Junlin He, Haoru Li

Proceedings of the SPML 2020: 3rd International Conference on Signal Processing and Machine Learning, 2020