Yingjie Niu

26 papers A* 1C 5Journal 15Unranked 5
YearRankTypeTitle / Venue / Authors
2026 A* conf
Edit-Level Tracking of Narrative Changes in 10-K Filings.
WWW
Xiao Li, Changhong Jin, Yingjie Niu, Jingyi Wang, Ruihai Dong
2026 J jnl
Fly360: Omnidirectional Obstacle Avoidance within Drone View.
CoRR
Xiangkai Zhang, Dizhe Zhang, WenZhuo Cao, Zhaoliang Wan, Yingjie Niu, Lu Qi, Xu Yang, Zhiyong Liu
2026 J jnl
GAPNet: Plug-in Jointly Learning Task-Specific Graph for Dynamic Stock Relation.
CoRR
Yingjie Niu, Lanxin Lu, Changhong Jin, Ruihai Dong
2025 — conf
A Data-Driven Asset Relation Extraction and Portfolio Optimization Method through Convolution.
ICAIF
Lanxin Lu, Yingjie Niu, Ruihai Dong, Valerio Potì
2025 — conf
NGAT: A Node-Level Graph Attention Network for Long-Term Stock Prediction.
ICANN (4)
Yingjie Niu, Mingchuan Zhao, Valerio Potì, Ruihai Dong
2025 J jnl
NGAT: A Node-level Graph Attention Network for Long-term Stock Prediction.
CoRR
Yingjie Niu, Mingchuan Zhao, Valerio Potì, Ruihai Dong
2025 — conf
Two Sides of the Same Coin: How LLMs Reveal Dual Narratives in Annual Reports.
ICAIF
Xiao Li, Changhong Jin, Yingjie Niu, Ruihai Dong
2024 C conf
Contrasting Disentangled Partial Observations for Pedestrian Action Prediction.
IV
Yan Feng, Alexander Carballo, Yingjie Niu, Kazuya Takeda
2024 J jnl
DRUformer: Enhancing Driving Scene Important Object Detection With Driving Scene Relationship Understanding.
IEEE Access
Yingjie Niu, Ming Ding, Keisuke Fujii, Kento Ohtani, Alexander Carballo, Kazuya Takeda
2024 J jnl
Disaster learning and aggregate investment.
J. Econ. Theory
Yingjie Niu, Jinqiang Yang, Zhentao Zou
2024 — conf
Evaluating Financial Relational Graphs: Interpretation Before Prediction.
ICAIF
Yingjie Niu, Lanxin Lu, Rian Dolphin, Valerio Potì, Ruihai Dong
2024 J jnl
Evaluating Financial Relational Graphs: Interpretation Before Prediction.
CoRR
Yingjie Niu, Lanxin Lu, Rian Dolphin, Valerio Potì, Ruihai Dong
2024 J jnl
LiDAR Point Cloud Augmentation for Adverse Conditions Using Conditional Generative Model.
Remote. Sens.
Yuxiao Zhang, Ming Ding, Hanting Yang, Yingjie Niu, Maoning Ge, Kento Ohtani, Chi Zhang, Kazuya Takeda
2024 J jnl
R-Cut: Enhancing Explainability in Vision Transformers with Relationship Weighted Out and Cut.
Sensors
Yingjie Niu, Ming Ding, Maoning Ge, Robin Karlsson, Yuxiao Zhang, Alexander Carballo, Kazuya Takeda
2024 J jnl
Robust dynamic contracts with multiple agents.
Games Econ. Behav.
Yingjie Niu, Zhentao Zou
2023 J jnl
DRUformer: Enhancing the driving scene Important object detection with driving relationship self-understanding.
CoRR
Yingjie Niu, Ming Ding, Keisuke Fujii, Kento Ohtani, Alexander Carballo, Kazuya Takeda
2023 J jnl
L-DIG: A GAN-Based Method for LiDAR Point Cloud Processing under Snow Driving Conditions.
Sensors
Yuxiao Zhang, Ming Ding, Hanting Yang, Yingjie Niu, Yan Feng, Kento Ohtani, Kazuya Takeda
2023 — conf
Learning to Generalize for Cross-domain QA.
ACL (Findings)
Yingjie Niu, Linyi Yang, Ruihai Dong, Yue Zhang
2023 J jnl
Learning to Generalize for Cross-domain QA.
CoRR
Yingjie Niu, Linyi Yang, Ruihai Dong, Yue Zhang
2023 C conf
LiDAR Point Cloud Translation Between Snow and Clear Conditions Using Depth Images and GANs.
IV
Yuxiao Zhang, Ming Ding, Hanting Yang, Yingjie Niu, Yan Feng, Maoning Ge, Alexander Carballo, Kazuya Takeda
2023 C conf
Open-world driving scene segmentation via multi-stage and multi-modality fusion of vision-language embedding.
IV
Yingjie Niu, Ming Ding, Yuxiao Zhang, Maoning Ge, Hanting Yang, Kazuya Takeda
2023 J jnl
R-Cut: Enhancing Explainability in Vision Transformers with Relationship Weighted Out and Cut.
CoRR
Yingjie Niu, Ming Ding, Maoning Ge, Robin Karlsson, Yuxiao Zhang, Kazuya Takeda
2023 C conf
Synthesizing Realistic Snow Effects in Driving Images Using GANs and Real Data with Semantic Guidance.
IV
Hanting Yang, Ming Ding, Alexander Carballo, Yuxiao Zhang, Kento Ohtani, Yingjie Niu, Maoning Ge, Yan Feng, Kazuya Takeda
2022 C conf
Auditory and visual warning information generation of the risk object in driving scenes based on weakly supervised learning.
IV
Yingjie Niu, Ming Ding, Yuxiao Zhang, Kento Ohtani, Kazuya Takeda
2021 J jnl
TsFeX: Contact Tracing Model using Time Series Feature Extraction and Gradient Boosting.
CoRR
Manuela Nayantara Jeyaraj, Valerio Antonini, Yingjie Niu, Sonal Santosh Baberwal, Faithful Chiagoziem Onwuegbuche, Robert Foskin
2020 J jnl
Incomplete markets, Knightian uncertainty and high-water marks.
Oper. Res. Lett.
Fengjun Liu, Yingjie Niu, Zhentao Zou