Hang Ni

Orcid: 0000-0003-0844-6624

According to our database1, Hang Ni authored at least 14 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
From Consistency to Complementarity: Aligned and Disentangled Multi-modal Learning for Time Series Understanding and Reasoning.
CoRR, January, 2026

UniExtreme: A Universal Foundation Model for Extreme Weather Forecasting.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025
UniExtreme: A Universal Foundation Model for Extreme Weather Forecasting.
CoRR, August, 2025

Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications.
CoRR, July, 2025

Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning.
CoRR, March, 2025

TP-RAG: Benchmarking Retrieval-Augmented Large Language Model Agents for Spatiotemporal-Aware Travel Planning.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024
NHGMI: Heterogeneous graph multi-view infomax with node-wise contrasting samples selection.
Knowl. Based Syst., 2024

Anomaly detection with dual-channel heterogeneous graph based on hypersphere learning.
Inf. Sci., 2024

Planning, Living and Judging: A Multi-agent LLM-based Framework for Cyclical Urban Planning.
CoRR, 2024

Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models.
CoRR, 2024

Urban Foundation Models: A Survey.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
Dual-Process Graph Neural Network for Diversified Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2021
Hybrid Vision/Force Control of Soft Robot Based on a Deformation Model.
IEEE Trans. Control. Syst. Technol., 2021

2019
Distribution Network Load Forecasting Based on Improved BP Neural Network.
Proceedings of the International Conference on Artificial Intelligence and Advanced Manufacturing, 2019


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