Cheng Ji 季诚

Research on Self-Supervised Graph Learning and Multi-Modal Learning

Beihang University (BUAA)

Beijing, China

jc@buaa.edu.cn

Deep Graph Learning Self-Supervised Machine Learning Multi-Modal Learning

Email GitHub Google Scholar

About Me

I received my Ph.D. and B.S. degree from Beihang University (BUAA), advised by Prof. Li Jianxin.​ I have published about 30 CCF-A/B papers, including NeurIPS, ICLR, AAAI, IJCAI, WWW, MM, etc. Google Scholar citations exceed 1,600.

I won the best paper candidate of CIKM 2022, ICDM 2021, and the First Prize of Natural Science from the Chinese Institute of Electronics.

I am serving as the program committee member and reviewer for Cell Patterns, IEEE TIP, ICML, ICLR, NeurIPS, KDD, AAAI, etc.

Latest News

Jul 08, 2025

🎉🎉🎉 📢 One Paper Accepted to ACM MM 2025 ！！！

Apr 29, 2025

🎉🎉🎉 📢 Three Papers Accepted to IJCAI 2025 ！！！

Feb 11, 2025

🎉🎉🎉 📢 One Paper Accepted to ICLR 2025 ！！！

Dec 10, 2024

🎉🎉🎉 📢 One Paper Accepted to AAAI 2025 ！！！

Oct 24, 2024

🎉🎉🎉 📢 One Paper Accepted to WSDM 2025.

Oct 20, 2024

🎉🎉🎉 📢 One Paper Accepted to JMLC.

Sep 26, 2024

🎉🎉🎉 📢 One Paper Accepted to NeurIPS 2024 ！！！

Jul 21, 2024

🎉🎉🎉 📢 One Paper Accepted to ACM MM 2024 ！！！

Jul 19, 2024

🎉🎉🎉 📢 One Paper Accepted to CIKM 2024.

Jun 27, 2024

🎉🎉🎉 📢 One Paper Accepted to NN.

Apr 17, 2024

🎉🎉🎉 📢 One Paper Accepted to IJCAI 2024 ！！！

Jan 23, 2024

🎉🎉🎉 📢 One paper Accepted to WWW 2024 ！！！

Dec 09, 2023

🎉🎉🎉 📢 One Paper Accepted to AAAI 2024 ！！！

Publications

Year: All Years 2025 2024 2023 2022 2021 2019

CCF Rank: All Ranks CCF-A CCF-B Other

Type: All Types Conference Journal

NeurIPS

2025

GC-Bench: An Open and Unified Benchmark for Graph Condensation

Qingyun Sun , Ziying Chen , Beining Yang , Cheng Ji , Xingcheng Fu , Sheng Zhou , Hao Peng , Jianxin Li , Philip S. Yu

Advances in Neural Information Processing Systems

CCF-A

WSDM

2025

Graph Size-imbalanced Learning with Energy-guided Structural Smoothing

Jiawen Qin , Pengfeng Huang , Qingyun Sun , Cheng Ji , Xingcheng Fu , Jianxin Li

ACM International Conference on Web Search and Data Mining

CCF-B

AAAI

2025

DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models

Haonan Yuan , Qingyun Sun , Zhaonan Wang , Xingcheng Fu , Cheng Ji , Yongjian Wang , Bo Jin , Jianxin Li

AAAI Conference on Artificial Intelligence

CCF-A

ICLR

2025

ST-GCond: Self-supervised and Transferable Graph Dataset Condensation

Beining Yang , Qingyun Sun , Cheng Ji , Xingcheng Fu , Jianxin Li

International Conference on Learning Representations

Other

IJCAI

2025

Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction

Qian Li , Cheng Ji , Shu Guo , Peng Kun , Qianren Mao , Shangguang Wang

International Joint Conference on Artificial Intelligence

CCF-A

IJCAI

2025

Multimodal Knowledge Retrieval-Augmented Iterative Alignment for Satellite Commonsense Conversation

Qian Li , Xuchen Li , Zongyu Chang , Yuzheng Zhang , Cheng Ji , Shangguang Wang

International Joint Conference on Artificial Intelligence

CCF-A

MM

2025

Meta-Knowledge Path Augmentation for Multi-Hop Reasoning on Satellite Commonsense Multi-Modal Knowledge Graphs

Qian Li , Siyuan Liang , Yuzheng Zhang , Cheng Ji , Zongyu Chang , Shangguang Wang

ACM Multimedia

CCF-A

IJCAI

2025

OS-GCL: A One-Shot Learner in Graph Contrastive Learning

Cheng Ji , Chenrui He , Qian Li , Qingyun Sun , Xingcheng Fu , Jianxin Li

International Joint Conference on Artificial Intelligence

CCF-A

PR

2024

Higher-Order Memory Guided Temporal Random Walk for Dynamic Heterogeneous Network Embedding

Cheng Ji , Tao Zhao , Qingyun Sun , Xingcheng Fu , Jianxin Li

Pattern Recognition

CCF-B

NeurIPS

2024

Does Graph Distillation See Like Vision Dataset Counterpart?

Beining Yang , Kai Wang , Qingyun Sun , Cheng Ji , Xingcheng Fu , Hao Tang , Yang You , Jianxin Li

Advances in Neural Information Processing Systems

CCF-A

COLING

2024

Few-Shot Multimodal Named Entity Recognition based on Multimodal Causal Intervention Graph

Feihong Lu , Xiaocui Yang , Qian Li , Qingyun Sun , Ke Jiang , Cheng Ji , Jianxin Li

LREC-COLING

CCF-B

WWW

2024

Dynamic Graph Information Bottleneck

Haonan Yuan , Qingyun Sun , Xingcheng Fu , Cheng Ji , Jianxin Li

ACM Web Conference

CCF-A

IJCAI

2024

LLM-based Multi-Level Knowledge Generation for Few-shot Knowledge Graph Completion

Qian Li , Zhuo Chen , Cheng Ji , Shiqi Jiang , Jianxin Li

International Joint Conference on Artificial Intelligence

CCF-A

CIKM

2024

L-APPLE: Language-agnostic Prototype Prefix Learning for Cross-lingual Event Detection

Ziqin Zhu , Xutan Peng , Qian Li , Cheng Ji , Qingyun Sun , Jianxin Li

ACM International Conference on Information and Knowledge Management

CCF-B

MM

2024

Multi-Modal Inductive Framework for Text-Video Retrieval

Qian Li , Yucheng Zhou , Cheng Ji , Feihong Lu , Jianian Gong , Shangguang Wang , Jianxin Li

ACM Multimedia 2024

CCF-A

NN

2024

Triplet-Aware Graph Neural Networks for Factorized Multi-Modal Knowledge Graph Entity Alignment

Qian Li , Jianxin Li , Jia Wu , Xutan Peng , Cheng Ji , Hao Peng , Lihong Wang , Philip S. Yu

Neural Networks

CCF-B

JMLC

2024

A Comprehensive Survey on Pretrained Foundation Models: A History from Bert to ChatGPT

Ce Zhou , Qian Li , Chen Li , Jun Yu , Yixin Liu , Guangjing Wang , Kai Zhang , Cheng Ji , Qiben Yan , Lifang He , Hao Peng , Jianxin Li , Jia Wu , Ziwei Liu , Pengtao Xie , Caiming Xiong , Jian Pei , Philip S Yu , Lichao Sun

International Journal of Machine Learning and Cybernetics

Other

AAAI

2024

ReGCL: Rethinking Message Passing in Graph Contrastive Learning

Cheng Ji , Zixuan Huang , Qingyun Sun , Hao Peng , Xingcheng Fu , Qian Li , Jianxin Li

AAAI Conference on Artificial Intelligence

CCF-A

WSDM

2023

Unbiased and Efficient Self-Supervised Incremental Contrastive Learning

Cheng Ji , Jianxin Li , Hao Peng , Jia Wu , Xingcheng Fu , Qingyun Sun , Philip S. Yu

ACM International Conference on Web Search and Data Mining

CCF-B

WWW

2023

Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment

Qian Li , Shu Guo , Yangyifei Luo , Cheng Ji , Lihong Wang , Jiawei Sheng , Jianxin Li

ACM Web Conference

CCF-A

KAIS

2023

Adaptive Curvature Exploration Geometric Graph Neural Network

Xingcheng Fu , Jianxin Li , Jia Wu , Jiawen Qin , Qingyun Sun , Cheng Ji , Senzhang Wang , Hao Peng , Philip S. Yu

Knowledge and Information Systems

CCF-B

TWEB

2023

Type Information Utilized Event Detection via Multi-channel GNNs in Electrical Power Systems

Qian Li , Jianxin Li , Lihong Wang , Cheng Ji , Yiming Hei , Jiawei Sheng , Qingyun Sun , Shan Xue , Pengtao Xie

ACM Transactions on the Web

CCF-B

ACL

2023

Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction

Qian Li , Shu Guo , Cheng Ji , Xutan Peng , Shiyao Cui , Jianxin Li , Lihong Wang

Annual Meeting of the Association for Computational Linguistics

CCF-A

EMNLP

2023

Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment

Qian Li , Cheng Ji , Shu Guo , Zhaoji Liang , Lihong Wang , Jianxin Li

Conference on Empirical Methods in Natural Language Processing

CCF-B

WWW

2022

Curvature Graph Generative Adversarial Networks

Jianxin Li , Xingcheng Fu , Qingyun Sun , Cheng Ji , Jiajun Tan , Jia Wu , Hao Peng

ACM Web Conference

CCF-A

AAAI

2022

Graph Structure Learning with Variational Information Bottleneck

Qingyun Sun , Jianxin Li , Hao Peng , Jia Wu , Xingcheng Fu , Cheng Ji , Philip S. Yu

AAAI Conference on Artificial Intelligence

CCF-A

SIGIR

2022

MuchSUM: Multi-channel Graph Neural Network for Extractive Summarization

Qianren Mao , Hongdong Zhu , Junnan Liu , Cheng Ji , Hao Peng , Jianxin Li , Lihong Wang , Zheng Wang

International ACM SIGIR Conference on Research and Development in Information Retrieval

CCF-A

CIKM

2022

Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-Squashing

Qingyun Sun , Jianxin Li , Haonan Yuan , Xingcheng Fu , Hao Peng , Cheng Ji , Qian Li , Philip S. Yu

ACM International Conference on Information and Knowledge Management

CCF-B

CIKM

2021

HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding

Yu He , Yangqiu Song , Jianxin Li , Cheng Ji , Jian Peng , Hao Peng

ACM International Conference on Information and Knowledge Management

CCF-B

JAIR

2021

RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved

Jianxin Li , Cheng Ji , Hao Peng , Yu He , Yangqiu Song , Xinmiao Zhang , Fanzhang Peng

Journal of Artificial Intelligence Research

CCF-B

ICDM

2021

ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network

Xingcheng Fu , Jianxin Li , Jia Wu , Qingyun Sun , Cheng Ji , Senzhang Wang , Jiajun Tan , Hao Peng , Philip S. Yu

IEEE International Conference on Data Mining

CCF-B

Showing 10 of 31 publications

Google Scholar Profile

Awards & Honors & Competitions

Awards & Honors

2024

🎓 自然科学一等奖 中国电子学会

2023

🎓 Outstanding Academic Innovation Achievement Award Beihang University

2022

🏆 Best Paper Candidate CIKM 2022

2021

🏆 Best Paper Candidate ICDM 2021

Competitions

2023

🥈 China International College Student Innovation Competition National Silver Award

2022

🥈 Chint Cup 2022, The 7th China Graduate Contest on Smart-city Technology and Creative Design Top 2

Academic & Social Services

Conference Reviewer

NeurIPS ICML ICLR KDD AAAI IJCAI SIGIR ACM MM ACL EMNLP CIKM WSDM ICDM DASFFA

Journal Reviewer

Cell Patterns IEEE TIP Pattern Recognition Neurocomputing International Journal of Machine Learning and Cybernetics