About me

取法乎上, 仅得其中. Shoot for the moon, land among the stars.

I am a final year PhD candidate at The Hong Kong University of Science and Technology(HKUST), advised by Prof. Jia Li and Prof. Xiaofang Zhou.

Previously, I received my MPhil degree from the Sun Yat-sen University in 2021, where I was fortunate to be advised by Prof. Xiaodan Liang. I obtained my bachelor degree in Mathematics from Soochow University in 2019. I interned at Tencent AI Lab, Tencent Jarvis Lab, and Deep Graph Library team from Amazon Web Services Shanghai AI Lab.

I’m looking for full time opportunities: feel free to contact me (sqrt3tjh AT gmail DOT com; or WeChat) if you have any job recommendations.

My Research

Please refer to my Google Scholar for a complete pubilication list. Feel free to contact me if you have any questions about my research.

Learning Similarities and Anomalies on Graphs

• GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection
  [paper] [slides] [talk (Chinese)] [talk (English)] GADBench
  Jianheng Tang, Fengrui Hua, Ziqi Gao, Peilin Zhao, Jia Li
  NeurIPS 2023 Datasets and Benchmarks Track

• Rethinking Graph Neural Networks for Anomaly Detection
  [paper] [slides] [media (Chinese)] [talk (Chinese)] [talk (English)] Rethinking-Anomaly-Detection
  Jianheng Tang, Jiajin Li, Ziqi Gao, Jia Li
  ICML 2022

• A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment
  [paper] FusedGW-Entity-Alignment
  Jianheng Tang, Kangfei Zhao, Jia Li
  ACL 2023 (Findings)

• Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport
  [paper] [slides] SLOTAlign
  Jianheng Tang, Weiqi Zhang, Jiajin Li, Kangfei Zhao, Fugee Tsung, Jia Li
  ICDE 2023

• A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data
  [paper] Gromov-Wasserstein-for-Graph
  Jiajin Li, Jianheng Tang, Lemin Kong, Huikang Liu, Jia Li, Anthony Man-Cho So, Jose Blanchet
  ICLR 2023

Language Model for Graph & Knowledge & Mathematical & Multimodal Reasoning

• GraphArena: Benchmarking Large Language Models on Graph Computational Problems
  [paper] GraphArena
  Jianheng Tang, Qifan Zhang, Yuhan Zhang, Jia Li
  Preprint

• GraphWiz: An Instruction-Following Language Model for Graph Computational Problems
  [paper] [media (Chinese)] Graph Reasoning LLM
  Nuo Chen^, Yuhan Li^, Jianheng Tang^, Jia Li
  KDD 2024 (^: Equal Contribution)

• GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning
  [paper] [media (Chinese)] GeoQA
  Jiaqi Chen^, Jianheng Tang^, Jinghui Qin, Xiaodan Liang, Lingbo Liu, Eric P. Xing, Liang Lin
  ACL 2021 (Findings)

• Target-guided Open-Domain Conversation
  [paper] [slides] Target-Guided-Conversation
  Jianheng Tang, Tiancheng Zhao, Chenyan Xiong, Xiaodan Liang, Eric P. Xing, Zhiting Hu
  ACL 2019 (Oral)

Other Publications

• UniGAD: Unifying Multi-level Graph Anomaly Detection
  Yiqing Lin, Jianheng Tang, Chenyi Zi, H. Vicky Zhao, Yuan Yao, Jia Li
  NeurIPS 2024

• 4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs
  [paper]multi-table-benchmark
  Minjie Wang, Quan Gan, David Wipf, Zhenkun Cai, Ning Li, Jianheng Tang, and 14 authors
  NeurIPS 2024 Datasets and Benchmarks Track

• Galaxybase: A High Performance Native Distributed Graph Database for HTAP
  [paper][website]
  Bing Tong, Yan Zhou, Chen Zhang, Jianheng Tang, and 7 authors
  VLDB 2024 Industrial Track

• GCoder: Improving Large Language Model for Generalized Graph Problem Solving
  [paper]GCoder
  Qifan Zhang, Xiaobin Hong, Jianheng Tang, Nuo Chen, Yuhan Li, Wenzhong Li, Jing Tang, Jia Li
  Preprint

• DeepIC3: Guiding IC3 Algorithms by Graph Neural Network Clause Prediction
  [paper] AIG2INV
  Guangyu Hu, Jianheng Tang, Changyuan Yu, Wei Zhang, Hongce Zhang
  ASP-DAC 2024

• Outlier-Robust Gromov Wasserstein for Graph Data
  [paper] Outlier-Robust-GW
  Lemin Kong, Jiajin Li, Jianheng Tang, Anthony Man-Cho So*
  NeurIPS 2023 (Spotlight)

• MedDG: An Entity-Centric Medical Consultation Dataset for Entity-Aware Medical Dialogue Generation
  [paper] MedDG
  Wenge Liu^, Jianheng Tang^, Yi Cheng^, Wenjie Li, Yefeng Zheng, Xiaodan Liang
  NLPCC 2022

• “My nose is running.”“Are you also coughing?”: Building A Medical Diagnosis Agent with Interpretable Inquiry Logics
  [paper] BR-Agent
  Wenge Liu, Yi Cheng, Hao Wang, Jianheng Tang, Yafei Liu, Ruihui Zhao, Wenjie Li, Yefeng Zheng, Xiaodan Liang
  IJCAI 2022

• Heterogeneous graph reasoning for knowledge-grounded medical dialogue system
  [paper]
  Wenge Liu, Jianheng Tang, Xiaodan Liang, Qingling Cai
  NeuroComputing 2021

• Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks
  [paper] NS-Solver
  Jinghui Qin, Xiaodan Liang, Yining Hong, Jianheng Tang, Liang Lin
  ACL 2021

• Dynamic Knowledge Routing Network For Target-Guided Open-Domain Conversation
  [paper] TGODC-DKRN
  Jinghui Qin, Zheng Ye, Jianheng Tang, Xiaodan Liang
  AAAI 2020

• End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis
  [paper] Medical_DS
  Lin Xu, Qixian Zhou, Ke Gong, Xiaodan Liang, Jianheng Tang, Liang Lin
  AAAI 2019 (Oral)