Jianting Tang

According to our database, Jianting Tang authored at least 9 papers between 2025 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Multimodal Deep Learning for Online Review Helpfulness Prediction.

Xiaodong Xie, Jie Wu, Jianting Tang, Yongxiang Sheng

Expert Syst. J. Knowl. Eng., 2026

Large Reasoning Embedding Models: Towards Next-Generation Dense Retrieval Paradigm.

Jianting Tang, Dongshuai Li, Tao Wen, Fuyu Lv, Dan Ou, Linli Xu

Proceedings of the ACM Web Conference 2026, 2026

2025

Large Reasoning Embedding Models: Towards Next-Generation Dense Retrieval Paradigm.

Jianting Tang, Dongshuai Li, Tao Wen, Fuyu Lv, Dan Ou, Linli Xu

CoRR, October, 2025

CROP: Integrating Topological and Spatial Structures via Cross-View Prefixes for Molecular LLMs.

Jianting Tang, Yubo Wang, Haoyu Cao, Linli Xu

CoRR, August, 2025

DHGNN: A dynamic heterogeneous graph neural network for interpretable inventor collaboration prediction.

Xiaodong Xie, Jie Wu, Mengjia Xiang, Jianting Tang, Yongxiang Sheng

J. King Saud Univ. Comput. Inf. Sci., 2025

Enhancing the efficiency of patent classification: a multimodal classification approach for design patents.

Xiaodong Xie, Jie Wu, Mengjia Xiang, Jianting Tang, Yongxiang Sheng

J. King Saud Univ. Comput. Inf. Sci., 2025

CROP: Integrating Topological and Spatial Structures via Cross-View Prefixes for Molecular LLMs.

Jianting Tang, Yubo Wang, Haoyu Cao, Linli Xu

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Tracking the Copyright of Large Vision-Language Models through Parameter Learning Adversarial Images.

Yubo Wang, Jianting Tang, Chaohu Liu, Linli Xu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

BASIC: Boosting Visual Alignment with Intrinsic Refined Embeddings in Multimodal Large Language Models.

Jianting Tang, Yubo Wang, Haoyu Cao, Linli Xu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025