Continuous K-Selection Capacity Constrained Assignment in Road-Networks. - Chenghua Gong; Xiaoyu Sun; Bin Zhao 002 (CBD, 2021)

Empower Text-Attributed Graphs Learning with Large Language Models (LLMs). - Jianxiang Yu 001; Yuxiang Ren; Chenghua Gong; Jiaqi Tan 006; Xiang Li 067; Xuecang Zhang (CoRR, 2023)

Prompt Tuning for Multi-View Graph Contrastive Learning. - Chenghua Gong; Xiang Li 067; Jianxiang Yu 001; Cheng Yao; Jiaqi Tan 006; Chengcheng Yu; Dawei Yin (CoRR, 2023)

Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis. - Jianxiang Yu 001; Zichen Ding 002; Jiaqi Tan 006; Kangyang Luo; Zhenmin Weng; Chenghua Gong; Long Zeng 004; Renjing Cui; Chengcheng Han 004; Qiushi Sun; Zhiyong Wu 003; Yunshi Lan; et al. (EMNLP (Findings), 2024)

Self-pro: A Self-prompt and Tuning Framework for Graph Neural Networks. - Chenghua Gong; Xiang Li 067; Jianxiang Yu 001; Yao Cheng; Jiaqi Tan 006; Chengcheng Yu (ECML/PKDD (2), 2024)

Towards Learning from Graphs with Heterophily: Progress and Future. - Chenghua Gong; Yao Cheng; Jianxiang Yu 001; Can Xu; Caihua Shan; Siqiang Luo; Xiang Li 067 (CoRR, 2024)

Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs. - Jianxiang Yu 001; Yuxiang Ren; Chenghua Gong; Jiaqi Tan 006; Xiang Li 067; Xuecang Zhang (AAAI, 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, 2025)

Agents with foundation models: advance and vision. - Chenghua Gong; Xiang Li (Frontiers Comput. Sci., 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, 2025)

DORAEMON: Decentralized Ontology-aware Reliable Agent with Enhanced Memory Oriented Navigation. - Tianjun Gu; Linfeng Li; Xuhong Wang; Chenghua Gong; Jingyu Gong; Zhizhong Zhang 001; Yuan Xie 006; Lizhuang Ma; Xin Tan 002 (CoRR, 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, 2025)