Lecheng Zheng

Orcid: 0000-0002-6869-3320

According to our database1, Lecheng Zheng authored at least 22 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2019
2020
2021
2022
2023
2024
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10
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Legend:

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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
PyG-SSL: A Graph Self-Supervised Learning Toolkit.
CoRR, 2024

Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision?
CoRR, 2024

Online Multi-modal Root Cause Analysis.
CoRR, 2024

Fair Anomaly Detection For Imbalanced Groups.
CoRR, 2024

Towards Multi-view Graph Anomaly Detection with Similarity-Guided Contrastive Clustering.
CoRR, 2024

LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis.
CoRR, 2024

Multi-modal Causal Structure Learning and Root Cause Analysis.
CoRR, 2024

MULAN: Multi-modal Causal Structure Learning and Root Cause Analysis for Microservice Systems.
Proceedings of the ACM on Web Conference 2024, 2024

Heterogeneous Contrastive Learning for Foundation Models and Beyond.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Fairgen: Towards Fair Graph Generation.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Multi-label Sequential Sentence Classification via Large Language Model.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Fairness-aware Multi-view Clustering.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022
Contrastive Learning with Complex Heterogeneity.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

MentorGNN: Deriving Curriculum for Pre-Training GNNs.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Tackling Oversmoothing of GNNs with Contrastive Learning.
CoRR, 2021

Heterogeneous Contrastive Learning.
CoRR, 2021

Deep Co-Attention Network for Multi-View Subspace Learning.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Outlier Impact Characterization for Time Series Data.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Domain Adaptive Multi-Modality Neural Attention Network for Financial Forecasting.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

A Data-Driven Graph Generative Model for Temporal Interaction Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019
Misc-GAN: A Multi-scale Generative Model for Graphs.
Frontiers Big Data, 2019

Deep Multimodality Model for Multi-task Multi-view Learning.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019


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