Song Jiang

According to our database, Song Jiang authored at least 14 papers between 2019 and 2024.

Collaborative distances:

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

2024

Towards Causally-Aware Dynamical System Prediction

Song Jiang

PhD thesis, 2024

RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models.

Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings (Extended Abstract).

Song Jiang, Qiyue Yao, Qifan Wang, Yizhou Sun

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion.

Fred Xu, Song Jiang, Zijie Huang, Xiao Luo, Shichang Zhang, Yuanzhou Chen, Yizhou Sun

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings.

Song Jiang, Qiyue Yao, Qifan Wang, Yizhou Sun

Proceedings of the ACM Web Conference 2023, 2023

CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation.

Xiao Luo, Haixin Wang, Zijie Huang, Huiyu Jiang, Abhijeet Gangan, Song Jiang, Yizhou Sun

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems.

Song Jiang, Zijie Huang, Xiao Luo, Yizhou Sun

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Learning Probabilities of Causation from Finite Population Data.

Ang Li, Song Jiang, Yizhou Sun, Judea Pearl

CoRR, 2022

Unit Selection: Learning Benefit Function from Finite Population Data.

Ang Li, Song Jiang, Yizhou Sun, Judea Pearl

CoRR, 2022

Bridging Self-Attention and Time Series Decomposition for Periodic Forecasting.

Song Jiang, Tahin Syed, Xuan Zhu, Joshua Levy, Boris Aronchik, Yizhou Sun

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Estimating Causal Effects on Networked Observational Data via Representation Learning.

Song Jiang, Yizhou Sun

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Deep Learning of Potential Outcomes.

Bernard Koch, Tim Sainburg, Pablo Geraldo, Song Jiang, Yizhou Sun, Jacob Gates Foster

CoRR, 2021

HINTS: Citation Time Series Prediction for New Publications via Dynamic Heterogeneous Information Network Embedding.

Song Jiang, Bernard Koch, Yizhou Sun

Proceedings of the WWW '21: The Web Conference 2021, 2021

2019

Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks.

Difan Zou, Ziniu Hu, Yewen Wang, Song Jiang, Yizhou Sun, Quanquan Gu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019