Yingjie Niu

According to our database, Yingjie Niu authored at least 25 papers between 2020 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

Fly360: Omnidirectional Obstacle Avoidance within Drone View.

Xiangkai Zhang, Dizhe Zhang, WenZhuo Cao, Zhaoliang Wan, Yingjie Niu, Lu Qi, Xu Yang, Zhiyong Liu

CoRR, March, 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

2025

NGAT: A Node-Level Graph Attention Network for Long-Term Stock Prediction.

Yingjie Niu, Mingchuan Zhao, Valerio Potì, Ruihai Dong

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2025, 2025

A Data-Driven Asset Relation Extraction and Portfolio Optimization Method through Convolution.

Lanxin Lu, Yingjie Niu, Ruihai Dong, Valerio Potì

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

2024

LiDAR Point Cloud Augmentation for Adverse Conditions Using Conditional Generative Model.

Yuxiao Zhang, Ming Ding, Hanting Yang, Yingjie Niu, Maoning Ge, Kento Ohtani, Chi Zhang, Kazuya Takeda

Remote. Sens., June, 2024

R-Cut: Enhancing Explainability in Vision Transformers with Relationship Weighted Out and Cut.

Yingjie Niu, Ming Ding, Maoning Ge, Robin Karlsson, Yuxiao Zhang, Alexander Carballo, Kazuya Takeda

Sensors, May, 2024

Disaster learning and aggregate investment.

Yingjie Niu, Jinqiang Yang, Zhentao Zou

J. Econ. Theory, 2024

Robust dynamic contracts with multiple agents.

Yingjie Niu, Zhentao Zou

Games Econ. Behav., 2024

DRUformer: Enhancing Driving Scene Important Object Detection With Driving Scene Relationship Understanding.

Yingjie Niu, Ming Ding, Keisuke Fujii, Kento Ohtani, Alexander Carballo, Kazuya Takeda

IEEE Access, 2024

Contrasting Disentangled Partial Observations for Pedestrian Action Prediction.

Yan Feng, Alexander Carballo, Yingjie Niu, Kazuya Takeda

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Evaluating Financial Relational Graphs: Interpretation Before Prediction.

Yingjie Niu, Lanxin Lu, Rian Dolphin, Valerio Potì, Ruihai Dong

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

2023

L-DIG: A GAN-Based Method for LiDAR Point Cloud Processing under Snow Driving Conditions.

Yuxiao Zhang, Ming Ding, Hanting Yang, Yingjie Niu, Yan Feng, Kento Ohtani, Kazuya Takeda

Sensors, October, 2023

DRUformer: Enhancing the driving scene Important object detection with driving relationship self-understanding.

Yingjie Niu, Ming Ding, Keisuke Fujii, Kento Ohtani, Alexander Carballo, Kazuya Takeda

CoRR, 2023

R-Cut: Enhancing Explainability in Vision Transformers with Relationship Weighted Out and Cut.

Yingjie Niu, Ming Ding, Maoning Ge, Robin Karlsson, Yuxiao Zhang, Kazuya Takeda

CoRR, 2023

LiDAR Point Cloud Translation Between Snow and Clear Conditions Using Depth Images and GANs.

Yuxiao Zhang, Ming Ding, Hanting Yang, Yingjie Niu, Yan Feng, Maoning Ge, Alexander Carballo, Kazuya Takeda

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Synthesizing Realistic Snow Effects in Driving Images Using GANs and Real Data with Semantic Guidance.

Hanting Yang, Ming Ding, Alexander Carballo, Yuxiao Zhang, Kento Ohtani, Yingjie Niu, Maoning Ge, Yan Feng, Kazuya Takeda

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Open-world driving scene segmentation via multi-stage and multi-modality fusion of vision-language embedding.

Yingjie Niu, Ming Ding, Yuxiao Zhang, Maoning Ge, Hanting Yang, Kazuya Takeda

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Learning to Generalize for Cross-domain QA.

Yingjie Niu, Linyi Yang, Ruihai Dong, Yue Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Auditory and visual warning information generation of the risk object in driving scenes based on weakly supervised learning.

Yingjie Niu, Ming Ding, Yuxiao Zhang, Kento Ohtani, Kazuya Takeda

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

2021

TsFeX: Contact Tracing Model using Time Series Feature Extraction and Gradient Boosting.

Manuela Nayantara Jeyaraj, Valerio Antonini, Yingjie Niu, Sonal Santosh Baberwal, Faithful Chiagoziem Onwuegbuche, Robert Foskin

CoRR, 2021

2020

Incomplete markets, Knightian uncertainty and high-water marks.

Fengjun Liu, Yingjie Niu, Zhentao Zou

Oper. Res. Lett., 2020