Songgaojun Deng

According to our database, Songgaojun Deng authored at least 18 papers between 2019 and 2026.

Collaborative distances:

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

2026

AdversaRiskQA: An Adversarial Factuality Benchmark for High-Risk Domains.

Adam Szelestey, Sofie van Engelen, Tianhao Huang, Justin Snelders, Qintao Zeng, Songgaojun Deng

CoRR, January, 2026

2025

Mitigating Social Desirability Bias in Random Silicon Sampling.

Sashank Chapala, Maksym Mironov, Songgaojun Deng

CoRR, December, 2025

Beyond Natural Language Plans: Structure-Aware Planning for Query-Focused Table Summarization.

Weijia Zhang, Songgaojun Deng, Evangelos Kanoulas

CoRR, July, 2025

2024

Domain Generalization in Time Series Forecasting.

Songgaojun Deng, Olivier Sprangers, Ming Li, Sebastian Schelter, Maarten de Rijke

ACM Trans. Knowl. Discov. Data, June, 2024

SimGCL: graph contrastive learning by finding homophily in heterophily.

Cheng Liu, Chenhuan Yu, Ning Gui, Zhiwu Yu, Songgaojun Deng

Knowl. Inf. Syst., March, 2024

Learning Latent Spaces for Domain Generalization in Time Series Forecasting.

Songgaojun Deng, Maarten de Rijke

CoRR, 2024

Frequency Adaptive Normalization For Non-stationary Time Series Forecasting.

Weiwei Ye, Songgaojun Deng, Qiaosha Zou, Ning Gui

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Advances in Human Event Modeling: From Graph Neural Networks to Language Models.

Songgaojun Deng, Maarten de Rijke, Yue Ning

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2022

Robust Event Forecasting with Spatiotemporal Confounder Learning.

Songgaojun Deng, Huzefa Rangwala, Yue Ning

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Causality Enhanced Societal Event Forecasting With Heterogeneous Graph Learning.

Songgaojun Deng, Huzefa Rangwala, Yue Ning

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

A Survey on Societal Event Forecasting with Deep Learning.

Songgaojun Deng, Yue Ning

CoRR, 2021

Causal Knowledge Guided Societal Event Forecasting.

Songgaojun Deng, Huzefa Rangwala, Yue Ning

CoRR, 2021

Understanding Event Predictions via Contextualized Multilevel Feature Learning.

Songgaojun Deng, Huzefa Rangwala, Yue Ning

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Dynamic Knowledge Graph based Multi-Event Forecasting.

Songgaojun Deng, Huzefa Rangwala, Yue Ning

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Cola-GNN: Cross-location Attention based Graph Neural Networks for Long-term ILI Prediction.

Songgaojun Deng, Shusen Wang, Huzefa Rangwala, Lijing Wang, Yue Ning

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Graph Message Passing with Cross-location Attentions for Long-term ILI Prediction.

Songgaojun Deng, Shusen Wang, Huzefa Rangwala, Lijing Wang, Yue Ning

CoRR, 2019

Exploration of a mechanism to form bionic, self-growing and self-organizing neural network.

Xu Yang, Guo Liu, Songgaojun Deng, Zichao Wei, Hu He, Yingjie Shang, Ning Deng

Artif. Intell. Rev., 2019

Learning Dynamic Context Graphs for Predicting Social Events.

Songgaojun Deng, Huzefa Rangwala, Yue Ning

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019