Jianheng Tang

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

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Bibliography

2025
ZeroTuning: Unlocking the Initial Token's Power to Enhance Large Language Models Without Training.
CoRR, May, 2025

GraphArena: Evaluating and Exploring Large Language Models on Graph Computation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

GalaxyView: Property Graph Transformation for Materialized View Generation.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

How does Misinformation Affect Large Language Model Behaviors and Preferences?
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Galaxybase: A High Performance Native Distributed Graph Database for HTAP.
Proc. VLDB Endow., August, 2024

GCoder: Improving Large Language Model for Generalized Graph Problem Solving.
CoRR, 2024

Graph Pre-Training Models Are Strong Anomaly Detectors.
CoRR, 2024

GraphArena: Benchmarking Large Language Models on Graph Computational Problems.
CoRR, 2024

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs.
CoRR, 2024

GraphWiz: An Instruction-Following Language Model for Graph Problems.
CoRR, 2024

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

UniGAD: Unifying Multi-level Graph Anomaly Detection.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

GraphWiz: An Instruction-Following Language Model for Graph Computational Problems.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Data Imputation from the Perspective of Graph Dirichlet Energy.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

DeepIC3: Guiding IC3 Algorithms by Graph Neural Network Clause Prediction.
Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023
Dictionary Learning Based Scheme for Adversarial Defense in Continuous-Variable Quantum Key Distribution.
Entropy, March, 2023

Missing Data Imputation with Graph Laplacian Pyramid Network.
CoRR, 2023

GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Outlier-Robust Gromov-Wasserstein for Graph Data.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Geometric Graph Learning for Protein Mutation Effect Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Handling Missing Data via Max-Entropy Regularized Graph Autoencoder.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Fast and Provably Convergent Algorithms for Gromov-Wasserstein in Graph Learning.
CoRR, 2022

MedDG: An Entity-Centric Medical Consultation Dataset for Entity-Aware Medical Dialogue Generation.
Proceedings of the Natural Language Processing and Chinese Computing, 2022

"My nose is running." "Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Rethinking Graph Neural Networks for Anomaly Detection.
Proceedings of the International Conference on Machine Learning, 2022

Algae Image Classification Algorithm Based on the Improved MobileNetV2.
Proceedings of the 5th International Conference on Computer Science and Software Engineering, 2022

2021
Heterogeneous graph reasoning for knowledge-grounded medical dialogue system.
Neurocomputing, 2021

Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
MedDG: A Large-scale Medical Consultation Dataset for Building Medical Dialogue System.
CoRR, 2020

Dynamic Knowledge Routing Network for Target-Guided Open-Domain Conversation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Target-Guided Open-Domain Conversation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019


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