Lecheng Zheng

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 22

Top Topics

Root Cause Analysis

Financial Forecasting

Causal Structure

Top Venues

Publications

Lecheng Zheng, Zhengzhang Chen, Jingrui He, Haifeng Chen
MULAN: Multi-modal Causal Structure Learning and Root Cause Analysis for Microservice Systems. WWW (2024)
Lecheng Zheng, Zhengzhang Chen, Jingrui He, Haifeng Chen
Multi-modal Causal Structure Learning and Root Cause Analysis. CoRR (2024)
Lecheng Zheng, Baoyu Jing, Zihao Li, Hanghang Tong, Jingrui He
Heterogeneous Contrastive Learning for Foundation Models and Beyond. KDD (2024)
Lecheng Zheng, Zhengzhang Chen, Dongjie Wang, Chengyuan Deng, Reon Matsuoka, Haifeng Chen
LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis. CoRR (2024)
Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He
Fairgen: Towards Fair Graph Generation. ICDE (2024)
Lecheng Zheng, Baoyu Jing, Zihao Li, Hanghang Tong, Jingrui He
Heterogeneous Contrastive Learning for Foundation Models and Beyond. CoRR (2024)
Lecheng Zheng, Yada Zhu, Jingrui He
Fairness-aware Multi-view Clustering. CoRR (2023)
Lecheng Zheng, Yada Zhu, Jingrui He
Fairness-aware Multi-view Clustering. SDM (2023)
Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He
FairGen: Towards Fair Graph Generation. CoRR (2023)
Dawei Zhou, Lecheng Zheng, Dongqi Fu, Jiawei Han, Jingrui He
MentorGNN: Deriving Curriculum for Pre-Training GNNs. CoRR (2022)
Dawei Zhou, Lecheng Zheng, Dongqi Fu, Jiawei Han, Jingrui He
MentorGNN: Deriving Curriculum for Pre-Training GNNs. CIKM (2022)
Lecheng Zheng, Jinjun Xiong, Yada Zhu, Jingrui He
Contrastive Learning with Complex Heterogeneity. KDD (2022)
Jianbo Li, Lecheng Zheng, Yada Zhu, Jingrui He
Outlier Impact Characterization for Time Series Data. AAAI (2021)
Lecheng Zheng, Yada Zhu, Jingrui He, Jinjun Xiong
Heterogeneous Contrastive Learning. CoRR (2021)
Lecheng Zheng, Yu Cheng, Hongxia Yang, Nan Cao, Jingrui He
Deep Co-Attention Network for Multi-View Subspace Learning. CoRR (2021)
Lecheng Zheng, Dongqi Fu, Jingrui He
Tackling Oversmoothing of GNNs with Contrastive Learning. CoRR (2021)
Lecheng Zheng, Yu Cheng, Hongxia Yang, Nan Cao, Jingrui He
Deep Co-Attention Network for Multi-View Subspace Learning. WWW (2021)
Dawei Zhou, Lecheng Zheng, Jiawei Han, Jingrui He
A Data-Driven Graph Generative Model for Temporal Interaction Networks. KDD (2020)
Dawei Zhou, Lecheng Zheng, Yada Zhu, Jianbo Li, Jingrui He
Domain Adaptive Multi-Modality Neural Attention Network for Financial Forecasting. WWW (2020)
Lecheng Zheng, Yu Cheng, Jingrui He
Deep Multimodality Model for Multi-task Multi-view Learning. SDM (2019)
Lecheng Zheng, Yu Cheng, Jingrui He
Deep Multimodality Model for Multi-task Multi-view Learning. CoRR (2019)
Dawei Zhou, Lecheng Zheng, Jiejun Xu, Jingrui He
Misc-GAN: A Multi-scale Generative Model for Graphs. Frontiers Big Data 2 (2019)