Chenghua Gong

According to our database, Chenghua Gong authored at least 15 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Advancing Opinion Dynamics Modeling with Neural Diffusion-Convection-Reaction Equation.

Chenghua Gong, Yihang Jiang, Hao Li, Rui Sun, Juyuan Zhang, Tianjun Gu, Liming Pan, Linyuan Lü

CoRR, February, 2026

TopoDIM: One-shot Topology Generation of Diverse Interaction Modes for Multi-Agent Systems.

Rui Sun, Jie Ding, Chenghua Gong, Tianjun Gu, Yihang Jiang, Juyuan Zhang, Liming Pan, Linyuan Lü

CoRR, January, 2026

EscherVerse: An Open World Benchmark and Dataset for Teleo-Spatial Intelligence with Physical-Dynamic and Intent-Driven Understanding.

Tianjun Gu, Chenghua Gong, Jingyu Gong, Zhizhong Zhang, Yuan Xie, Lizhuang Ma, Xin Tan

CoRR, January, 2026

2025

Epi²-Net: Advancing Epidemic Dynamics Forecasting with Physics-Inspired Neural Networks.

Rui Sun, Chenghua Gong, Tianjun Gu, Yuhao Zheng, Jie Ding, Juyuan Zhang, Liming Pan, Linyuan Lü

CoRR, August, 2025

DORAEMON: Decentralized Ontology-aware Reliable Agent with Enhanced Memory Oriented Navigation.

Tianjun Gu, Linfeng Li, Xuhong Wang, Chenghua Gong, Jingyu Gong, Zhizhong Zhang, Yuan Xie, Lizhuang Ma, Xin Tan

CoRR, May, 2025

EpiLLM: Unlocking the Potential of Large Language Models in Epidemic Forecasting.

Chenghua Gong, Rui Sun, Yuhao Zheng, Juyuan Zhang, Tianjun Gu, Liming Pan, Linyuan Lv

CoRR, May, 2025

Agents with foundation models: advance and vision.

Chenghua Gong, Xiang Li

Frontiers Comput. Sci., April, 2025

AutoCas: Autoregressive Cascade Predictor in Social Networks via Large Language Models.

Yuhao Zheng, Chenghua Gong, Rui Sun, Juyuan Zhang, Liming Pan, Linyuan Lv

CoRR, February, 2025

Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs.

Jianxiang Yu, Yuxiang Ren, Chenghua Gong, Jiaqi Tan, Xiang Li, Xuecang Zhang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Towards Learning from Graphs with Heterophily: Progress and Future.

Chenghua Gong, Yao Cheng, Jianxiang Yu, Can Xu, Caihua Shan, Siqiang Luo, Xiang Li

CoRR, 2024

Self-pro: A Self-prompt and Tuning Framework for Graph Neural Networks.

Chenghua Gong, Xiang Li, Jianxiang Yu, Yao Cheng, Jiaqi Tan, Chengcheng Yu

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis.

Jianxiang Yu, Zichen Ding, Jiaqi Tan, Kangyang Luo, Zhenmin Weng, Chenghua Gong, Long Zeng, Renjing Cui, Chengcheng Han, Qiushi Sun, Zhiyong Wu, Yunshi Lan, Xiang Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Prompt Tuning for Multi-View Graph Contrastive Learning.

Chenghua Gong, Xiang Li, Jianxiang Yu, Cheng Yao, Jiaqi Tan, Chengcheng Yu, Dawei Yin

CoRR, 2023

Empower Text-Attributed Graphs Learning with Large Language Models (LLMs).

Jianxiang Yu, Yuxiang Ren, Chenghua Gong, Jiaqi Tan, Xiang Li, Xuecang Zhang

CoRR, 2023

2021

Continuous K-Selection Capacity Constrained Assignment in Road-Networks.

Chenghua Gong, Xiaoyu Sun, Bin Zhao

Proceedings of the Ninth International Conference on Advanced Cloud and Big Data, 2021