Jia Li

Orcid: 0000-0002-6362-4385

Affiliations:

Hong Kong University of Science and Technology-Guangzhou (HKUST-GZ), Guangzhou, China
Chinese University of Hong Kong (CUHK), Sha Tin, Hong Kong (PhD 2021)

According to our database¹, Jia Li authored at least 71 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer.

[BibT_eX]

[DOI]

CoRR, 2024

Graph Pre-Training Models Are Strong Anomaly Detectors.

[BibT_eX]

[DOI]

CoRR, 2024

ControlMath: Controllable Data Generation Promotes Math Generalist Models.

[BibT_eX]

[DOI]

CoRR, 2024

GLBench: A Comprehensive Benchmark for Graph with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

GraphArena: Benchmarking Large Language Models on Graph Computational Problems.

[BibT_eX]

[DOI]

CoRR, 2024

Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning.

[BibT_eX]

[DOI]

CoRR, 2024

DualTime: A Dual-Adapter Multimodal Language Model for Time Series Representation.

[BibT_eX]

[DOI]

CoRR, 2024

ProG: A Graph Prompt Learning Benchmark.

[BibT_eX]

[DOI]

CoRR, 2024

One QuantLLM for ALL: Fine-tuning Quantized LLMs Once for Efficient Deployments.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Compress to Impress: Unleashing the Potential of Compressive Memory in Real-World Long-Term Conversations.

[BibT_eX]

[DOI]

CoRR, 2024

From Good to Great: Improving Math Reasoning with Tool-Augmented Interleaf Prompting.

[BibT_eX]

[DOI]

CoRR, 2024

Weakly Supervised Anomaly Detection via Knowledge-Data Alignment.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Broad Physical Dynamics Learning.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Graph Intelligence with Large Language Models and Prompt Learning.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Path-based Explanation for Knowledge Graph Completion.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

GraphWiz: An Instruction-Following Language Model for Graph Computational Problems.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

All in One: Multi-task Prompting for Graph Neural Networks (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A Survey of Graph Meets Large Language Model: Progress and Future Directions.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Parameter-Efficient Fine-Tuning with Discrete Fourier Transform.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Protein Multimer Structure Prediction via Prompt Learning.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ControlMath: Controllable Data Generation Promotes Math Generalist Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Data Imputation from the Perspective of Graph Dirichlet Energy.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Hierarchical Graph Latent Diffusion Model for Conditional Molecule Generation.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Self-Supervised Hypergraph Representation Learning for Sociological Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2023

Semi-Supervised Hierarchical Graph Classification.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Is Bigger and Deeper Always Better? Probing LLaMA Across Scales and Layers.

[BibT_eX]

[DOI]

CoRR, 2023

Graph Prompt Learning: A Comprehensive Survey and Beyond.

[BibT_eX]

[DOI]

CoRR, 2023

Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations.

[BibT_eX]

[DOI]

CoRR, 2023

ProbTS: A Unified Toolkit to Probe Deep Time-series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2023

Physics-Inspired Neural Graph ODE for Long-term Dynamical Simulation.

[BibT_eX]

[DOI]

CoRR, 2023

Missing Data Imputation with Graph Laplacian Pyramid Network.

[BibT_eX]

[DOI]

CoRR, 2023

Bridge the Gap between Language models and Tabular Understanding.

[BibT_eX]

[DOI]

CoRR, 2023

Knowledge Graph Completion with Counterfactual Augmentation.

[BibT_eX]

[DOI]

Heng Chang

Jie Cai

Jia Li

Proceedings of the ACM Web Conference 2023, 2023

Deep Insights into Noisy Pseudo Labeling on Graph Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

All in One: Multi-Task Prompting for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Decision Support System for Chronic Diseases Based on Drug-Drug Interactions.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Large Language Models Meet Harry Potter: A Dataset for Aligning Dialogue Agents with Characters.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Orca: A Few-shot Benchmark for Chinese Conversational Machine Reading Comprehension.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Natural Response Generation for Chinese Reading Comprehension.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Co-training Approach for Noisy Time Series Learning.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment.

[BibT_eX]

[DOI]

Jianheng Tang

Kangfei Zhao

Jia Li

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Structural Contrastive Pretraining for Cross-Lingual Comprehension.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Alleviating Over-smoothing for Unsupervised Sentence Representation.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Handling Missing Data via Max-Entropy Regularized Graph Autoencoder.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

What would Harry say? Building Dialogue Agents for Characters in a Story.

[BibT_eX]

[DOI]

CoRR, 2022

ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery.

[BibT_eX]

[DOI]

CoRR, 2022

Latent Augmentation For Better Graph Self-Supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Rethinking Graph Neural Networks for Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

Mask-GVAE: Blind Denoising Graphs via Partition.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Deconvolutional Networks on Graph Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Graph Autoencoders with Deconvolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Dirichlet Graph Variational Autoencoder.

[BibT_eX]

[DOI]

CoRR, 2020

Adversarial Attack on Community Detection by Hiding Individuals.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Dirichlet Graph Variational Autoencoder.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Semi-Supervised Graph Classification: A Hierarchical Graph Perspective.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Predicting Path Failure In Time-Evolving Graphs.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

TATC: Predicting Alzheimer's Disease with Actigraphy Data.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Jia Li

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