Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks. - Difan Zou; Ziniu Hu; Yewen Wang; Song Jiang 002; Yizhou Sun; Quanquan Gu (NeurIPS, 2019)

HINTS: Citation Time Series Prediction for New Publications via Dynamic Heterogeneous Information Network Embedding. - Song Jiang 002; Bernard Koch; Yizhou Sun (WWW, 2021)

Deep Learning of Potential Outcomes. - Bernard Koch; Tim Sainburg; Pablo Geraldo; Song Jiang 002; Yizhou Sun; Jacob Gates Foster (CoRR, 2021)

Estimating Causal Effects on Networked Observational Data via Representation Learning. - Song Jiang 002; Yizhou Sun (CIKM, 2022)

Bridging Self-Attention and Time Series Decomposition for Periodic Forecasting. - Song Jiang 002; Tahin Syed; Xuan Zhu 002; Joshua Levy; Boris Aronchik; Yizhou Sun (CIKM, 2022)

Unit Selection: Learning Benefit Function from Finite Population Data. - Ang Li 009; Song Jiang 002; Yizhou Sun; Judea Pearl (CoRR, 2022)

Learning Probabilities of Causation from Finite Population Data. - Ang Li 009; Song Jiang 002; Yizhou Sun; Judea Pearl (CoRR, 2022)

CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems. - Song Jiang 002; Zijie Huang 002; Xiao Luo 001; Yizhou Sun (KDD, 2023)

CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation. - Xiao Luo 001; Haixin Wang 003; Zijie Huang 002; Huiyu Jiang; Abhijeet Gangan; Song Jiang 002; Yizhou Sun (NeurIPS, 2023)

A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings. - Song Jiang 002; Qiyue Yao; Qifan Wang 001; Yizhou Sun (WWW, 2023)

LLM-Rec: Personalized Recommendation via Prompting Large Language Models. - Hanjia Lyu; Song Jiang 002; Hanqing Zeng; Yinglong Xia; Jiebo Luo 001 (CoRR, 2023)

FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion. - Fred Xu; Song Jiang 002; Zijie Huang 002; Xiao Luo 001; Shichang Zhang; Yuanzhou Chen; Yizhou Sun (ACL (Findings), 2024)

A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings (Extended Abstract). - Song Jiang 002; Qiyue Yao; Qifan Wang 001; Yizhou Sun (IJCAI, 2024)

RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models. - Song Jiang 002; Zahra Shakeri; Aaron Chan; Maziar Sanjabi; Hamed Firooz; Yinglong Xia; Bugra Akyildiz; Yizhou Sun; Jinchao Li; Qifan Wang 001; Asli Celikyilmaz (NAACL-HLT, 2024)

LLM-Rec: Personalized Recommendation via Prompting Large Language Models. - Hanjia Lyu; Song Jiang 002; Hanqing Zeng; Yinglong Xia; Qifan Wang 001; Si Zhang; Ren Chen; Christopher Leung; Jiajie Tang; Jiebo Luo 001 (NAACL-HLT (Findings), 2024)

On the Equivalence of Graph Convolution and Mixup. - Xiaotian Han; Hanqing Zeng; Yu Chen 022; Shaoliang Nie; Jingzhou Liu; Kanika Narang; Zahra Shakeri; Karthik Abinav Sankararaman; Song Jiang 002; Madian Khabsa; Qifan Wang 001; Xia Hu 001 (Trans. Mach. Learn. Res., 2024)

Towards Causally-Aware Dynamical System Prediction - Song Jiang 002 (2024)

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? - Van Yang; Hongye Jin; Shaochen Zhong; Song Jiang 002; Qifan Wang 001; Vipin Chaudhary; Xiaotian Han (ACL (Findings), 2025)

Learning Probabilities of Causation from Finite Population Data. - Shuai Wang; Song Jiang 002; Yizhou Sun; Judea Pearl; Ang Li 009 (CoRR, 2025)

100-LongBench: Are de facto Long-Context Benchmarks Literally Evaluating Long-Context Ability? - Wang Yang; Hongye Jin; Shaochen Zhong; Song Jiang 002; Qifan Wang 001; Vipin Chaudhary; Xiaotian Han (CoRR, 2025)

FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion. - Fred Xu; Song Jiang 002; Zijie Huang 002; Xiao Luo 001; Shichang Zhang; Adrian Chen; Yizhou Sun (CoRR, 2025)