Song Jiang
Scholar

Song Jiang

Google Scholar ID: SjbhMQEAAAAJ
FAIR, Meta
Machine learningReinforcement LearningLanguage Models
Citations & Impact
All-time
Citations
950
 
H-index
13
 
i10-index
14
 
Publications
20
 
Co-authors
13
list available
Resume (English only)
Academic Achievements
  • NaturalReasoning: Reasoning in the Wild with 2.8M Challenging Questions (Preprint 2025)
  • Towards Full Delegation: Designing Ideal Agentic Behaviors for Travel Planning (Preprint 2024)
  • To the Globe (TTG): Towards Language-Driven Guaranteed Travel Planning (EMNLP Demo Track 2024, Miami, FL)
  • FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion (ACL-Findings 2024, Bangkok, Thailand)
  • ResPrompt: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models (NAACL 2024, Mexico City, Mexico)
  • LLM-Rec: Personalized Recommendation via Prompting Large Language Models (NAACL 2024 - Findings, Mexico City, Mexico)
  • On the Equivalence of Graph Convolution and Mixup (TMLR 2024)
  • CARE: Modeling Interacting Dynamics Under Temporal Distribution Shift (NeurIPS 2023, New Orleans, LA)
  • CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems (KDD 2023, Long Beach, CA) - Best Student Paper Award
  • A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings (WWW 2023, Austin, TX) - Best Student Paper Award
  • A Primer on Deep Learning for Causal Inference (Sociological Methods & Research, 2023)
  • Estimating Causal Effects on Networked Observational Data via Representation Learning (CIKM 2022, Atlanta, GA)
  • Bridging Self-Attention and Time Series Decomposition for Periodic Forecasting (CIKM 2022, Atlanta, GA)
  • Unit Selection: Learning Benefit Function from Finite Population Data (NeurIPS 2022 Workshop on Causality for Real-world Impact)
  • HINTS: Citation Time Series Prediction for New Publications via Dynamic Heterogeneous Information Network Embedding (WWW 2021, virtual)
  • Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks (NeurIPS 2019, Vancouver, Canada)
Research Experience
  • Research Engineer at FAIR, Meta, 2024 - Present
Education
  • Ph.D. from UCLA, advised by Prof. Yizhou Sun.
Background
  • Research Engineer at FAIR, Meta. Currently working on LLM Reasoning / Planning.
Miscellany
  • Reviewer: ICLR, ICML, NeurIPS, KDD, WWW, ARR