Jianheng Tang
Scholar

Jianheng Tang

Google Scholar ID: w4kWvXEAAAAJ
Hong Kong University of Science and Technology
Graph Data MiningNatural Language ProcessingAnomaly Detection
Citations & Impact
All-time
Citations
1,679
 
H-index
17
 
i10-index
18
 
Publications
20
 
Co-authors
5
list available
Resume (English only)
Academic Achievements
  • 1. Learning Similarities and Anomalies on Graphs (NeurIPS 2023 Datasets and Benchmarks Track);
  • 2. Rethinking Graph Neural Networks for Anomaly Detection (ICML 2022);
  • 3. A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment (ACL 2023 Findings);
  • 4. Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport (ICDE 2023);
  • 5. A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data (ICLR 2023);
  • 6. Evaluating and Exploring Large Language Models on Graph Computation (KDD 2024);
  • 7. GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning (ACL 2021 Findings);
  • 8. Target-guided Open-Domain Conversation (ACL 2019 Oral);
  • 9. UniGAD: Unifying Multi-level Graph Anomaly Detection (NeurIPS 2024);
  • 10. 4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs (NeurIPS 2024 Datasets and Benchmarks Track);
  • 11. Galaxybase: A High Performance Native Distributed Graph Database for HTAP (VLDB 2024 Industrial Track);
  • 12. GCoder: Improving Large Language Model for Generalized Graph Problem Solving (Preprint);
  • 13. DeepIC3: Guiding IC3 Algorithms by Graph Neural Network Clause Prediction (ASP-DAC 2024);
  • 14. Outlier-Robust Gromov Wasserstein for Graph Data (NeurIPS 2023 Spotlight);
  • 15. MedDG: An Entity-Centric Medical Consultation Dataset for Entity-Aware Medical Dialogue Generation (NLPCC 2022).
Research Experience
  • Interned at Tencent AI Lab, Tencent Jarvis Lab, and Deep Graph Library team from Amazon Web Services Shanghai AI Lab.
Education
  • 1. The Hong Kong University of Science and Technology (HKUST), PhD candidate, advised by Prof. Jia Li and Prof. Xiaofang Zhou;
  • 2. Sun Yat-sen University, MPhil degree, advised by Prof. Xiaodan Liang;
  • 3. Soochow University, Bachelor's degree in Mathematics.
Background
  • Research interests include learning similarities and anomalies on graphs, knowledge graph entity alignment, and multimodal reasoning. Motto: Aim high, achieve the middle. Shoot for the moon, land among the stars.
Miscellany
  • Looking for full-time opportunities. Feel free to contact via email or WeChat for job recommendations.