Bio

I am a PhD student in the CSE department at the Hong Kong University of Science and Technology. I began my studies in the fall of 2020 under the supervision of Professor Yangqiu Song. My research interests primarily lie in knowledge graph reasoning and natural language understanding. Prior to my current pursuit, I obtained two bachelor’s degrees in Computer Science and General Business Management from the Interdisciplinary Program Office of HKUST.

Selected Publication List

Knowledge Graph Reasoning and Neural Graph Database

• [KDD] Understanding Inter-Session Intentions via Complex Logical Reasoning
  Jiaxin Bai, Chen Luo, Zheng Li, Qingyu Yin, Yangqiu Song
  KDD-2024 [paper][code]

• [KDD] Privacy-Preserving Neural Graph Databases
  Qi Hu, Haoran Li, Jiaxin Bai, Zihao Wang, Yangqiu Song
  KDD-2024 [paper][code]

• [ACL] Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generation
  Jiaxin Bai*, Yicheng Wang*, Tianshi Zheng, Yue Guo, Xin Liu, Yangqiu Song
  ACL-2024 [paper][code]

• [ACL] CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning
  Weiqi Wang, Tianqing Fang, Chunyang Li, Haochen Shi, Wenxuan Ding, Baixuan Xu, Zhaowei Wang, Jiaxin Bai, Xin Liu, Jiayang Cheng, Chunkit Chan, Yangqiu Song
  ACL-2024 [paper][code]

• [NeurIPS] Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints
  Jiaxin Bai, Xin Liu, Weiqi Wang, Chen Luo, Yangqiu Song
  NeurIPS-2023 [paper][code]

• [KDD] Knowledge Graph Reasoning over Entities and Numerical Values
  Jiaxin Bai, Chen Luo, Zheng Li, Qingyu Yin, Bing Yin, Yangqiu Song
  KDD-2023 [paper][code]

• [TMLR] Sequential Query Encoding For Complex Query Answering on Knowledge Graphs
  Jiaxin Bai*, Tianshi Zheng*, Yangqiu Song
  Transactions of Machine Learning Research [paper][code]

• [NAACL] Query2Particles: Knowledge Graph Reasoning with Particle Embeddings
  Jiaxin Bai, Zihao Wang, Hongming Zhang, Yangqiu Song
  NAACL-2022 (Findings) [paper][code]

Knowledge Graph Construction

• [ACL] FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery
  Changlong Yu, Weiqi Wang, Xin Liu, Jiaxin Bai, Yangqiu Song, Zheng Li, Yifan Gao, Tianyu Cao, Bing Yin
  ACL-2023 (Findings) [paper][code]

Language Modeling and Knowledge Reasoning

• [EMNLP] IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce
  Wenxuan Ding, Weiqi Wang, Sze Heng Douglas Kwok, Minghao Liu, Tianqing Fang, Jiaxin Bai, Xin Liu, Changlong Yu, Zheng Li, Chen Luo, Qingyu Yin, Bing Yin, Junxian He, Yangqiu Song EMNLP-2024 (Findings) [paper]

• [EMNLP] MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding Baixuan Xu, Weiqi Wang, Haochen Shi, Wenxuan Ding, Huihao Jing, Tianqing Fang, Jiaxin Bai, Xin Liu, Changlong Yu, Zheng Li, Chen Luo, Qingyu Yin, Bing Yin, Long Chen, Yangqiu Song
  EMNLP-2024 [paper]

• [EACL] Joint Coreference Resolution and Character Linking for Multiparty Conversation
  Jiaxin Bai, Hongming Zhang, Yangqiu Song, Kun Xu
  EACL-2021 [paper][code]

• [EMNLP] ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations
  Shizhe Diao, Jiaxin Bai, Yan Song, Tong Zhang, Yonggang Wang
  EMNLP-2020 (Findings) [paper][code]

• [EMNLP] Multi-Relational Word Embeddings for Selectional Preferences
  Hongming Zhang*, Jiaxin Bai*, Yan Song, Kun Xu, Changlong Yu, Yangqiu Song, Wilfred Ng, and Dong Yu
  EMNLP-2019 [paper][code]

Honors

• Hong Kong PhD Fellowship 2020

Academic Services

• Reviewer/External Reviewer/Program Committee:
  • KDD-2021
  • EMNLP-2021
  • JAIR
  • EMNLP-2022
  • KDD-2023 (ADS)
  • ACL-2023
  • NLPCC-2023
  • TKDE
  • KDD-2024
  • KDD-2025
  • ARR
• Area Chair
  • ARR Oct 2024 (NAACL-2025)