Brief Bio
My name is Lecheng Zheng (郑乐成). I am currently a Ph.D. student at the Department of Computer Science, University of Illinois at Urbana–Champaign. I work as a research assistant at iSAIL Lab under the supervision of Prof. Jingrui He. Before that, I got my Bachelor's degree in Computer Science from the University of Kansas advised by Prof. Jun(Luke) Huan.
Research Interests
Heterogeneous Learning, with specific interests in Multi-task Learning and Multi-view Learning.
Social Networks Analysis, Graph Generation.
News
[08/2022] Our paper "MentorGNN: Deriving Curriculum for Pre-Training GNNs" was accepted by ACM CIKM 2022.
[05/2022] Our paper "Contrastive Learning with complex heterogeneity" was accepted by ACM SIGKDD 2022.
[04/2022] I gave a talk at Virginia Tech about our work on "Contrastive Learning-A Heterogeneous Perspective".
[02/2022] I accepted the invitation to serve as a Program Committee member of CIKM 2022.
[12/2021] I accepted the invitation to serve as a Program Committee member of SIGKDD 2022.
[10/2021] I accepted the invitation to serve as a Program Committee member of The WebConf 2022.
[09/2021] I accepted the invitation to serve as a Program Committee member of SDM 2022.
[08/2021] I accepted the invitation to serve as a Program Committee member of AAAI 2022.
[08/2021] I gave a talk at Tufts University about our work on "Generative Model for Static and Dynamic Graphs".
[07/2021] I accepted the invitation to serve as a Program Committee member of IJCAI 2022, IJCAI 2023, and IJCAI 2024.
[03/2021] I accepted the invitation to serve as a Program Committee member of CIKM 2021.
[01/2021] Our paper "Deep Co-Attention Network for Multi-view Subspace Learning" was accepted by The web Conference 2021.
[12/2020] Our paper "Outlier Impact Characterization for Time Series Data" was accepted by AAAI 2021.
[10/2020] I accepted the invitation to serve as a Program Committee member of IJCAI 2021.
[08/2020] I accepted the invitation to serve as a Program Committee member of AAAI 2021.
[05/2020] Our paper "A Data Driven Graph Generative Model for Temporal Interaction Networks" was accepted by ACM SIGKDD 2020.
[01/2020] Our paper "Domain Adaptive Multi-Modality Neural Attention Network for Financial Forecasting" was accepted by The Web Conference 2020.
[03/2019] I accepted the invitation to serve as a Program Committee member of BigData 2019.
[03/2019] Our journal "Misc-GAN: A Multi-Scale Generative Model for Graphs" was accepted by Frontier.
[12/2018] Our paper "Deep Multimodality Model for Multi-task Multi-view Learning" was accepted by SDM 2019.
[06/2018] I accepted the invitation to serve as a Program Committee member of BigData 2018.
Publication List
Lecheng Zheng, Baoyu Jing,Zihao Li, Hanghang Tong, Jingrui He. Heterogeneous Contrastive Learning for Foundation Models and Beyond. ACM: SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2024), August 2024
Lecheng Zheng, Zhengzhang Chen, Jingrui He, Haifeng Chen. MULAN: Multi-modal Causal Structure Learning and Root Cause Analysis for Microservice Systems. The Web Conference 2024 (WWW-2024, Oral), May 2024. [PDF]
Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He. FairGen: Towards Fair Graph Generation. IEEE International Conference on Data Engineering (ICDE-2024), May 2024. [PDF][Code]
Lecheng Zheng, Yada Zhu, Jingrui He. Fairness-aware Multi-view Clustering. SIAM: SIAM International Conference on Data Mining (SDM-2023), April 2023. [PDF]
Lecheng Zheng*, Dawei Zhou*, Dongqi Fu, Jiawei Han, Jingrui He. MentorGNN: Deriving Curriculum for Pre-Training GNNs. ACM International Conference on Information and Knowledge Management (CIKM-2022), October 2022. [PDF][Code] *: Equal contribution.
Lecheng Zheng, Jinjun Xiong, Yada Zhu, Jingrui He. Contrastive Learning with complex heterogeneity. ACM: SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2022), August 2022.[PDF][Code]
Lecheng Zheng, Yu Cheng, Hongxia Yang, Nan Cao, Jingrui He. Deep Co-Attention Network for Multi-View Subspace Learning. The Web Conference 2021 (WWW-2021), April 2021. [PDF][Code]
Jianbo Li, Lecheng Zheng, Yada Zhu, and Jingrui He. Outlier Impact Characterization for Time Series Data, The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-2021), February 2021. [PDF][Code]
Dawei Zhou, Lecheng Zheng, Jiawei Han, Jingrui He. A Data-driven Graph Generative Model for Temporal Interaction Networks. ACM: SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2020), August 2020. [PDF][Code]
Dawei Zhou, Lecheng Zheng, Jianbo Li, Yada Zhu, Jingrui He. Domain Adaptive Multi-Modality Neural Attention Network for Financial Forecasting. The Web Conference 2020 (WWW-2020), April 2020. [PDF]
Lecheng Zheng*, Dawei Zhou*, Jiejun Xu, Jingrui He. Misc-GAN: A Multi-Scale Generative Model for Graphs. Frontier, March 2019. [PDF][Code] *: Equal contribution.
Lecheng Zheng, Yu Cheng, Jingrui He. Deep Multimodality Model for Multi-task Multi-view Learning. SIAM: SIAM International Conference on Data Mining (SDM-2019), May 2019. [PDF][Code]
Services
Program Committee:
2024: ICML, IJCAI, ICLR, WSDM, AAAI, SDM, The WebConf, PAKDD, NeurIPS, CIKM
2023: IJCAI, WSDM, AAAI, SDM, The WebConf, SIGKDD, NeurIPS, BigData
2022: The WebConf, SDM, AAAI, IJCAI, SIGKDD, CIKM
2021: CIKM, IJCAI, AAAI
Before 2021: BigData 2019, BigData 2018
External Reviewer:
2023: CVPR, ICLR,
2022: SIGIR, NeurIPS, ICLR
2021: NeurIPS, ICLR, The WebConf, SIGIR, ICML, KDD, SDM
2020: AISTATS, IAAI, ICDM, KDD, SIGIR, WSDM, The WebConf, ICML
2019: ICDM, IJCAI, KDD, The WebConf
Journal Reviewer:
TKDD, TKDE, DAMI, Frontier
Awards
KDD 2020 Student Travel Award
WWW 2021 Student Travel Award
CIKM 2022 Student Travel Award
Tutorial
Lecheng Zheng, Jingrui He. Contrastive Learning: A Heterogeneous Perspective, SIAM: SIAM International Conference on Data Mining (SDM-2023), April 2023. [PDF][Website]
Dawei Zhou, Lecheng Zheng, Jingrui He. Exploring Rare Categories on Graphs: Representation, Inference, and Generalization, the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI2020), January 2021, Online.[Website]