Changhong Jin

According to our database, Changhong Jin authored at least 10 papers between 2017 and 2026.

Collaborative distances:

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

2026

Relational Probing: LM-to-Graph Adaptation for Financial Prediction.

Yingjie Niu, Changhong Jin, Rian Dolphin, Ruihai Dong

CoRR, April, 2026

LiveFact: A Dynamic, Time-Aware Benchmark for LLM-Driven Fake News Detection.

Cheng Xu, Changhong Jin, Yingjie Niu, Nan Yan, Yuke Mei, Shuhao Guan, Liming Chen, M. Tahar Kechadi

CoRR, April, 2026

GAPNet: Plug-in Jointly Learning Task-Specific Graph for Dynamic Stock Relation.

Yingjie Niu, Lanxin Lu, Changhong Jin, Ruihai Dong

CoRR, February, 2026

Edit-Level Tracking of Narrative Changes in 10-K Filings.

Xiao Li, Changhong Jin, Yingjie Niu, Jingyi Wang, Ruihai Dong

Proceedings of the ACM Web Conference 2026, 2026

MEML-GRPO: Heterogeneous Multi-Expert Mutual Learning for RLVR Advancement.

Weitao Jia, Jinghui Lu, Haiyang Yu, Siqi Wang, Guozhi Tang, An-Lan Wang, Weijie Yin, Dingkang Yang, Yuxiang Nie, Bin Shan, Hao Feng, Irene Li, Kun Yang, Han Wang, Jingqun Tang, Teng Fu, Changhong Jin, Chao Feng, Xiaohui Lv, Can Huang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Two Sides of the Same Coin: How LLMs Reveal Dual Narratives in Annual Reports.

Xiao Li, Changhong Jin, Yingjie Niu, Ruihai Dong

Proceedings of the 6th ACM International Conference on AI in Finance, 2025

DCR: Quantifying Data Contamination in LLMs Evaluation.

Cheng Xu, Nan Yan, Shuhao Guan, Changhong Jin, Yuke Mei, Yibing Guo, M. Tahar Kechadi

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

From Rules to Flexibility: A Resource and Method for SEC Item Extraction in Post-2021 10-K Filings.

Xiao Li, Changhong Jin, Ruihai Dong

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2023

Do Cows Have Fingerprints? Using Time Series Techniques and Milk Flow Profiles to Characterise Cow Milking Performance and Detect Health Issues.

Changhong Jin, John Upton, Brian Mac Namee

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023

2017

DKG: An Expanded Knowledge Base for Online Course.

Haimeng Duan, Yuanhao Zheng, Lei Shi, Changhong Jin, Hongwei Zeng, Jun Liu

Proceedings of the Database Systems for Advanced Applications, 2017