Jinning Li

Orcid: 0000-0003-1927-9999

Affiliations:
  • University of Illinois at Urbana-Champaign, Department of Computer Science, Urbana, IL, USA
  • Shanghai Jiao Tong University, Key Laboratory of Scalable Computing and Systems, Shanghai, China


According to our database1, Jinning Li authored at least 20 papers between 2018 and 2024.

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Bibliography

2024
The Paradox of Information Access: On Modeling Polarization in the Age of Information.
IEEE Trans. Control. Netw. Syst., June, 2024

Cost Function Learning in Memorized Social Networks With Cognitive Behavioral Asymmetry.
IEEE Trans. Comput. Soc. Syst., February, 2024

Perturbation-based Graph Active Learning for Weakly-Supervised Belief Representation Learning.
CoRR, 2024

Large Language Model-Guided Disentangled Belief Representation Learning on Polarized Social Graphs.
Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024

2023
Unsupervised Image Classification by Ideological Affiliation from User-Content Interaction Patterns.
CoRR, 2023

Reconciling Competing Sampling Strategies of Network Embedding.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for Response Forecasting.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Influence Pathway Discovery on Social Media.
Proceedings of the 9th IEEE International Conference on Collaboration and Internet Computing, 2023

Measuring the Effect of Influential Messages on Varying Personas.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

NTULM: Enriching Social Media Text Representations with Non-Textual Units.
Proceedings of the Eighth Workshop on Noisy User-generated Text, 2022

Dissecting Cross-Layer Dependency Inference on Multi-Layered Inter-Dependent Networks.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Unsupervised Belief Representation Learning in Polarized Networks with Information-Theoretic Variational Graph Auto-Encoders.
CoRR, 2021

2020
ID Preserving Face Super-Resolution Generative Adversarial Networks.
IEEE Access, 2020

2019
Scribble-to-Painting Transformation with Multi-Task Generative Adversarial Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

SENTI2POP: Sentiment-Aware Topic Popularity Prediction on Social Media.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018
Line Artist: A Multiple Style Sketch to Painting Synthesis Scheme.
CoRR, 2018

DancingLines: An Analytical Scheme to Depict Cross-Platform Event Popularity.
Proceedings of the Database and Expert Systems Applications, 2018


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