Song Jiang

25 papers A* 6A 2Journal 12Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability?
ACL (Findings)
Wang Yang, Hongye Jin, Shaochen Zhong, Song Jiang, Qifan Wang, Vipin Chaudhary, Xiaotian Han
2025 J jnl
100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability?
CoRR
Wang Yang, Hongye Jin, Shaochen Zhong, Song Jiang, Qifan Wang, Vipin Chaudhary, Xiaotian Han
2025 J jnl
FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion.
CoRR
Fred Xu, Song Jiang, Zijie Huang, Xiao Luo, Shichang Zhang, Adrian Chen, Yizhou Sun
2025 J jnl
Learning Probabilities of Causation from Finite Population Data.
CoRR
Shuai Wang, Song Jiang, Yizhou Sun, Judea Pearl, Ang Li
2024 A* conf
A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings (Extended Abstract).
IJCAI
Song Jiang, Qiyue Yao, Qifan Wang, Yizhou Sun
2024 — conf
FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion.
ACL (Findings)
Fred Xu, Song Jiang, Zijie Huang, Xiao Luo, Shichang Zhang, Yuanzhou Chen, Yizhou Sun
2024 — conf
LLM-Rec: Personalized Recommendation via Prompting Large Language Models.
NAACL-HLT (Findings)
Hanjia Lyu, Song Jiang, Hanqing Zeng, Yinglong Xia, Qifan Wang, Si Zhang, Ren Chen, Christopher Leung, Jiajie Tang, Jiebo Luo
2024 J jnl
On the Equivalence of Graph Convolution and Mixup.
Trans. Mach. Learn. Res.
Xiaotian Han, Hanqing Zeng, Yu Chen, Shaoliang Nie, Jingzhou Liu, Kanika Narang, Zahra Shakeri, Karthik Abinav Sankararaman, Song Jiang, Madian Khabsa, Qifan Wang, Xia Hu
2024 — conf
RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models.
NAACL-HLT
Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz
2024 — —
Towards Causally-Aware Dynamical System Prediction
Song Jiang
2023 A* conf
A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings.
WWW
Song Jiang, Qiyue Yao, Qifan Wang, Yizhou Sun
2023 A* conf
CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation.
NeurIPS
Xiao Luo, Haixin Wang, Zijie Huang, Huiyu Jiang, Abhijeet Gangan, Song Jiang, Yizhou Sun
2023 A* conf
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems.
KDD
Song Jiang, Zijie Huang, Xiao Luo, Yizhou Sun
2023 J jnl
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems.
CoRR
Song Jiang, Zijie Huang, Xiao Luo, Yizhou Sun
2023 J jnl
LLM-Rec: Personalized Recommendation via Prompting Large Language Models.
CoRR
Hanjia Lyu, Song Jiang, Hanqing Zeng, Yinglong Xia, Jiebo Luo
2023 J jnl
On the Equivalence of Graph Convolution and Mixup.
CoRR
Xiaotian Han, Hanqing Zeng, Yu Chen, Shaoliang Nie, Jingzhou Liu, Kanika Narang, Zahra Shakeri, Karthik Abinav Sankararaman, Song Jiang, Madian Khabsa, Qifan Wang, Xia Hu
2023 J jnl
Resprompt: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models.
CoRR
Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz
2022 A conf
Bridging Self-Attention and Time Series Decomposition for Periodic Forecasting.
CIKM
Song Jiang, Tahin Syed, Xuan Zhu, Joshua Levy, Boris Aronchik, Yizhou Sun
2022 A conf
Estimating Causal Effects on Networked Observational Data via Representation Learning.
CIKM
Song Jiang, Yizhou Sun
2022 J jnl
Learning Probabilities of Causation from Finite Population Data.
CoRR
Ang Li, Song Jiang, Yizhou Sun, Judea Pearl
2022 J jnl
Unit Selection: Learning Benefit Function from Finite Population Data.
CoRR
Ang Li, Song Jiang, Yizhou Sun, Judea Pearl
2021 J jnl
Deep Learning of Potential Outcomes.
CoRR
Bernard Koch, Tim Sainburg, Pablo Geraldo, Song Jiang, Yizhou Sun, Jacob Gates Foster
2021 A* conf
HINTS: Citation Time Series Prediction for New Publications via Dynamic Heterogeneous Information Network Embedding.
WWW
Song Jiang, Bernard Koch, Yizhou Sun
2019 A* conf
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks.
NeurIPS
Difan Zou, Ziniu Hu, Yewen Wang, Song Jiang, Yizhou Sun, Quanquan Gu
2019 J jnl
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks.
CoRR
Difan Zou, Ziniu Hu, Yewen Wang, Song Jiang, Yizhou Sun, Quanquan Gu