Publications
Selected Papers
RobustFlow: Towards Robust Agentic Workflow Generation
Shengxiang Xu, Jiayi Zhang, Shimin Di, Yuyu Luo, Liang Yao, Hanmo Liu, Jia Zhu, Fan Liu, Min-Ling Zhang
Arxiv Preprint 2025
TL;DR: 通过偏好优化实现了高度鲁棒的智能体工作流自动生成，显著提升了工作流生成的可靠性。
Code2MCP: Transforming Code Repositories into MCP Services
Chaoqian Ouyang, Ling Yue, Shimin Di, Libin Zheng, Linan Yue, Shaowu Pan, Jian Yin, Min-Ling Zhang
Agents Workshop @ NeurIPS 2025
TL;DR: 实现了GitHub仓库向标准化MCP服务的自动化转化，从供给侧解决了智能体工具生态的扩展瓶颈。
When AI Reviews Science: Can We Trust the Referee?
Jialiang Wang, Yuchen Liu, Hang Xu, Kaichun Hu, Shimin Di, Wangze Ni, Linan Yue, Min-Ling Zhang, Kui Ren, Lei Chen
Preprints 2025
TL;DR: 刻画AI同行评审在训练/检索、初筛、深度评审、rebuttal到系统层面的全流程攻击面，从而为可信AI评审的评估与防护提供基线与改进方向。
All Papers
Towards Self-cognitive Exploration: Metacognitive Knowledge Graph Retrieval Augmented Generation
Xujie Yuan, Shimin Di, Jielong Tang, Libin Zheng, Jian Yin
SIGKDD 2026
RemoteReasoner: Towards Unifying Geospatial Reasoning Workflow
Liang Yao, Fan Liu, Hongbo Lu, Chuanyi Zhang, Rui Min, Shengxiang Xu, Shimin Di, Pai Peng
AAAI 2026
Proficient Graph Neural Network Design by Accumulating Knowledge on Large Language Models
Jialiang Wang, Hanmo Liu, Shimin Di, Zhili Wang, Jiachuan Wang, Lei Chen, Xiaofang Zhou
WSDM 2026
Understanding the Embedding Models on Hyper-relational Knowledge Graph
Yubo Wang, Shimin Di, Zhili Wang, Haoyang Li, Fei Teng, Hao Xin, Lei Chen
CIKM 2025
UEMM-Air: Enable UAVs to Undertake More Multi-modal Tasks
Liang Yao, Fan Liu, Shengxiang Xu, Chuanyi Zhang, Shimin Di, Xing Ma, Jianyu Jiang, Zequan Wang, Jun Zhou
ACM MM 2025
RemoteSAM: Towards Segment Anything for Earth Observation
Liang Yao, Fan Liu, Delong Chen, Chuanyi Zhang, Yijun Wang, Ziyun Chen, Wei Xu, Shimin Di, Yuhui Zheng
ACM MM 2025
DioR: Adaptive Cognitive Detection and Contextual Retrieval Optimization for Dynamic Retrieval-Augmented Generation
Hanghui Guo, Jia Zhu, Shimin Di, Weijie Shi, Zhangze Chen, Jiajie Xu
ACL 2025 main
ESCFD: Probabilistic Flow Diffusion Model for Accelerated High-Quality Single-Cell RNA-seq Data Synthesis
Shuangyin Li, Jihua Yang, Yixuan Wang, Shimin Di, Lei Chen
SIGKDD 2025
A Selective Learning Method for Temporal Graph Continual Learning
Hanmo Liu, Shimin Di, Haoyang Li, Xun Jian, Yue Wang, Lei Chen
ICML 2025
Structuring Benchmark into Knowledge Graphs to Assist Large Language Models in Retrieving and Designing Models
Hanmo Liu, Shimin Di, Jialiang Wang, Zhili Wang, Jiachuan Wang, Xiaofang Zhou, Lei Chen
ICLR 2025
FGRCAT: A Fine-Grained Reasoning Framework through Causality and Adversarial Training
Hanghui Guo, Shimin Di, Zhangze Chen, Changfan Pan, Chaojun Meng, Jia Zhu
ESWA 2025
Efficient Latent-based Scoring Function Search for N-ary Relational Knowledge Bases
Shimin Di, Quanming Yao, Yongqi Zhang, Xiaofang Zhou, Lei Chen
TKDD 2024
A Universal and Interpretable Method for Enhancing Stock Price Prediction
Yuchen Liu, Shimin Di, Lei Chen, Xiaofang Zhou, Fei Lin
CIKM 2024
Learning from Emergence: A Study on Proactively Inhibiting the Monosemantic Neurons of Artificial Neural Networks
Jiachuan Wang, Shimin Di, Lei Chen, Charles Wang-wai Ng
SIGKDD 2024
SimDiff: Simple Denoising Probabilistic Latent Diffusion Model for data augmentation on Multi-modal Knowledge Graph
Ran Li, Shimin Di, Lei Chen, Xiaofang Zhou
SIGKDD 2024
Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense
Haoyang Li, Shimin Di, Calvin Li, Lei Chen, Xiaofang Zhou
VLDB 2024
Search to Fine-tune Pre-trained Graph Neural Networks for Graph-level Tasks
Zhili Wang, Shimin Di, Lei Chen, Xiaofang Zhou
ICDE 2024
E2GCL: Efficient and Expressive Contrastive Learning on Graph Neural Networks
Haoyang Li, Shimin Di, Lei Chen, Xiaofang Zhou
ICDE 2024
Effective Data Selection and Replay for Unsupervised Continual Learning
Hanmo Liu, Shimin Di, Haoyang Li, Shuangyin Li, Lei Chen, Xiaofang Zhou
ICDE 2024
Noise2Info: Noisy Image to Information of Noise for Self-Supervised Image Denoising
Jiachuan Wang, Shimin Di, Lei Chen, Charles Wang Wai Ng
ICCV 2023
A Message Passing Neural Network Space for Better Capturing Data-dependent Receptive Fields
Zhili Wang, Shimin Di, Lei Chen
SIGKDD 2023
Incremental Tabular Learning on Heterogeneous Feature Space
Hanmo Liu, Shimin Di, Lei Chen
SIGMOD 2023
Black-box Adversarial Attack and Defense on Graph Neural Networks
Haoyang Li, Shimin Di, Zijian Li, Lei Chen, Jiannong Cao
ICDE 2022
Searching to Sparsify Tensor Decomposition for N-ary Relational Data
Shimin Di, Quanming Yao, Lei Chen
WWW 2021
Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding
Shimin Di, Yongqi Zhang, Quanming Yao, Lei Chen
ICDE 2021
AutoGEL: An Automated Graph Neural Network with Explicit Link Information
Zhili Wang, Shimin Di, Lei Chen
NeurIPS 2021
FluxEV: A Fast and Effective Unsupervised Framework for Time-Series Anomaly Detection
Jia Li, Shimin Di, Yanyan Shen, Lei Chen
WSDM 2021
Transfer Learning via Feature Isomorphism Discovery
Shimin Di, Jingshu Peng, Yanyan Shen, Lei Chen
SIGKDD 2018