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ORCIDSong Jiang 0002
Person information
- affiliation: University of California, Los Angeles, CA, USA
Other persons with the same name
- Song Jiang — disambiguation page
- Song Jiang 0001
![[0000-0002-1681-9008]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-1681-9008")
— University of Texas at Arlington, TX, USA - Song Jiang 0003 — Xi'an University of Architecture and Technology, Xi'an, Shaanxi, China
- Song Jiang 0004 — Institute of Applied Physics and Computational Mathematics, Beijing, China
- Song Jiang 0005 — Tsinghua University, Beijing, China
- Song Jiang 0006 — Cisco Systems, San Jose, CA, USA
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2020 – today
- 2024
[b1]Song Jiang:
Towards Causally-Aware Dynamical System Prediction. University of California, Los Angeles, USA, 2024- [c10]Fred Xu, Song Jiang, Zijie Huang, Xiao Luo, Shichang Zhang, Yuanzhou Chen, Yizhou Sun:
FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion. ACL (Findings) 2024: 2707-2720 - [c9]Song Jiang, Qiyue Yao, Qifan Wang, Yizhou Sun:
A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings (Extended Abstract). IJCAI 2024: 8421-8426 - [c8]Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz:
RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models. NAACL-HLT 2024: 5784-5809 - 2023
- [c7]Song Jiang, Zijie Huang, Xiao Luo, Yizhou Sun:
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems. KDD 2023: 997-1009 - [c6]Xiao Luo, Haixin Wang, Zijie Huang, Huiyu Jiang, Abhijeet Gangan, Song Jiang, Yizhou Sun:
CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation. NeurIPS 2023 - [c5]Song Jiang, Qiyue Yao, Qifan Wang, Yizhou Sun:
A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings. WWW 2023: 2467-2476 - [i6]Song Jiang, Zijie Huang, Xiao Luo, Yizhou Sun:
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems. CoRR abs/2306.11216 (2023) - [i5]Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz:
Resprompt: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models. CoRR abs/2310.04743 (2023) - 2022
- [c4]Song Jiang, Yizhou Sun:
Estimating Causal Effects on Networked Observational Data via Representation Learning. CIKM 2022: 852-861 - [c3]Song Jiang, Tahin Syed, Xuan Zhu, Joshua Levy, Boris Aronchik, Yizhou Sun:
Bridging Self-Attention and Time Series Decomposition for Periodic Forecasting. CIKM 2022: 3202-3211 - [i4]Ang Li, Song Jiang, Yizhou Sun, Judea Pearl:
Unit Selection: Learning Benefit Function from Finite Population Data. CoRR abs/2210.08203 (2022) - [i3]Ang Li, Song Jiang, Yizhou Sun, Judea Pearl:
Learning Probabilities of Causation from Finite Population Data. CoRR abs/2210.08453 (2022) - 2021
- [c2]Song Jiang, Bernard Koch, Yizhou Sun:
HINTS: Citation Time Series Prediction for New Publications via Dynamic Heterogeneous Information Network Embedding. WWW 2021: 3158-3167 - [i2]Bernard Koch, Tim Sainburg, Pablo Geraldo, Song Jiang, Yizhou Sun, Jacob Gates Foster:
Deep Learning of Potential Outcomes. CoRR abs/2110.04442 (2021)
2010 – 2019
- 2019
- [c1]Difan Zou, Ziniu Hu, Yewen Wang, Song Jiang, Yizhou Sun, Quanquan Gu:
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks. NeurIPS 2019: 11247-11256 - [i1]Difan Zou, Ziniu Hu, Yewen Wang, Song Jiang, Yizhou Sun, Quanquan Gu:
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks. CoRR abs/1911.07323 (2019)
Coauthor Index
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