Publications
Selected Papers
PeroMAS: A Multi-agent System of Perovskite Material Discovery
TL;DR: 构建了首个面向钙钛矿材料发现的全流程多智能体系统PeroMAS，实现了从文献挖掘、逆向设计到虚拟筛选的闭环，并通过真实湿实验验证了从算法设计到物理合成的可行性。
Code2MCP: Transforming Code Repositories into MCP Services
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。
ToolRosella: Translating Code Repositories into Standardized Tools for Scientific Agents
TL;DR: 提出了自动标准化框架ToolRosetta，实现了开源代码仓库向大语言模型可调用的标准化工具服务的自动转化与内置安全管控，打破了依赖人工封装工具的扩展瓶颈，提升了智能体在跨学科科学任务中的综合表现。
Automating Computational Fluid Dynamics with LLM-based Multi-Agent Systems
TL;DR: 提出了计算流体力学端到端全流程自动化的多智能体框架Foam-Agent，结合MCP协议与依赖感知调度，实现了从自然语言指令到网格生成、HPC计算及可视化后处理的CFD全流程自动化。
Sci-VLA: Agentic VLA Inference Plugin for Long-Horizon Tasks in Scientific Experiments
TL;DR: 提出了无需训练的Agentic VLA推理插件，通过LLM动态生成过渡动作代码填补原子任务间的状态鸿沟，从推理侧解决了科学实验场景下VLA模型在长程组合任务中的分布失配与执行中断难题。
When AI Reviews Science: Can We Trust the Referee?
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
TravelEval: A Comprehensive Benchmarking Framework for Evaluating LLM-Powered Travel Planning Agents
Weiyi Chen, Shuaixiong Wang, Ziyun Gao, Kaichun Hu, Wangze Ni, Shimin Di, Chen Jason Zhang, Lei Chen
SIGKDD 2026 (CCF-A)
Towards Self-cognitive Exploration: Metacognitive Knowledge Graph Retrieval Augmented Generation
Xujie Yuan, Shimin Di*, Jielong Tang, Libin Zheng, Jian Yin*
SIGKDD 2026 (CCF-A)
SAKE: Self-aware Knowledge Exploitation-Exploration for Grounded Multimodal Named Entity Recognition
Jielong Tang, Xujie Yuan, Jiayang Liu, Jianxing Yu, Xiao Dong, Lin Chen, Yunlai Teng, Shimin Di, Jian Yin*
SIGKDD 2026 (CCF-A)
PeroMAS: A Multi-agent System of Perovskite Material Discovery
Yishu Wang, Wei Liu, Yifan Li, Shengxiang Xu, Xujie Yuan, Ran Li, Yuyu Luo, Jia Zhu, Shimin Di*, Min-Ling Zhang, Guixiang Li
SIGKDD 2026 (CCF-A)
Code2MCP: Transforming Code Repositories into MCP Services
Chaoqian Ouyang, Ling Yue, Shimin Di*, Libin Zheng*, Linan Yue, Shaowu Pan, Jian Yin, Min-Ling Zhang
SIGKDD 2026 (CCF-A)
Beyond Model Base Retrieval: Weaving Knowledge to Master Fine-grained Neural Network Design
Jialiang Wang, Hanmo Liu, Shimin Di, Zhili Wang, Jiachuan Wang, Lei Chen, Xiaofang Zhou
ICML 2026 (CCF-A)
KCVR: Knowledge-Centric Video Reconstruction for Structured Pedagogical Summarization via Dynamic Graph Planning
Jingjiang Liu, Jia Zhu, Hanghui Guo, Weijie Shi, Yue Cui, Xiaokang Jin, Yilin Wang, Qingyu Niu, Jiawei Shen, Guoqing Ma, Yidan Liang, Shimin Di, Jiajie Xu
ACL Main 2026 (CCF-A)
RSDA: Restoring Stale Data Affinity via Dynamic Renovation Strategy for Mitigating Data Scarcity
Yidan Liang, Jia Zhu, Weijie Shi, Hanghui Guo, Yue Cui, Jiawei Shen, Guoqing Ma, Jingjiang Liu, Qingyu Niu, Yilin Wang, Shimin Di, Jiajie Xu
ACL Main 2026 (CCF-A)
ACR: Adaptive Context Refactoring via Context Refactoring Operators for Multi-Turn Dialogue
Jiawei Shen, Jia Zhu, Hanghui Guo, Weijie Shi, Yue Cui, Qingyu Niu, Guoqing Ma, Yidan Liang, Jingjiang Liu, Yiling Wang, Shimin Di, Jiajie Xu
ACL Findings 2026
DC-Merge: Improving Model Merging with Directional Consistency
Han-Chen Zhang, Zi-Hao Zhou, Mao-Lin Luo, Shimin Di, Min-Ling Zhang, Tong Wei*
CVPR 2026 (CCF-A)
CoS: Towards Optimal Event Scheduling via Chain-of-Scheduling
Yiming Zhao, Jiwei Tang, Shimin Di, Libin Zheng, Jianxing Yu, Jian Yin
AAAI 2026 (CCF-A)
Faithful in Steps: Improving Generalization and Citation in RAG via Query Decomposition
Yue Liu, Zhongying Ru, Shimin Di, Jipeng Zhang, Ruiyuan Zhang, Xiaofang Zhou
AAAI 2026 (CCF-A)
RemoteReasoner: Towards Unifying Geospatial Reasoning Workflow
Liang Yao, Fan Liu*, Hongbo Lu, Chuanyi Zhang, Rui Min, Shengxiang Xu, Shimin Di, Pai Peng
AAAI 2026 (CCF-A)
TIV: Thought Injection via Vectors for Efficient Reasoning in Large Reasoning Models
Yi Cao, Weijie Shi, Wei-Jie Xu, Yucheng Shen, Yue Cui, Hanghui Guo, Shimin Di, Ziyi Liu, Jiaming Li, Alexander Zhou, Jia Zhu, Jiajie Xu
AAAI 2026 (CCF-A)
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 (CCF-B)
A Pilot Empirical Study on When and How to Use Knowledge Graphs as Retrieval Augmented Generation
Xujie Yuan, Yongxu Liu, Shimin Di*, Shiwen Wu, Libin Zheng, Rui Meng, Lei Chen, Xiaofang Zhou, Jian Yin
DASFAA 2026 (CCF-B)
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 (CCF-B)
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 (CCF-A)
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 (CCF-A)
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 (CCF-A)
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 (CCF-A)
A Selective Learning Method for Temporal Graph Continual Learning
Hanmo Liu, Shimin Di*, Haoyang Li, Xun Jian, Yue Wang, Lei Chen
ICML 2025 (CCF-A)
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 (CCF-C)
Efficient Latent-based Scoring Function Search for N-ary Relational Knowledge Bases
Shimin Di, Yongqi Zhang*, Quanming Yao, Xiaofang Zhou, Lei Chen
TKDD 2025 (CCF-B)
A Universal and Interpretable Method for Enhancing Stock Price Prediction
Yuchen Liu, Shimin Di*, Lei Chen, Xiaofang Zhou, Fei Lin
CIKM 2024 (CCF-B)
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 (CCF-A)
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 (CCF-A)
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 (CCF-A)
GradGCL: Gradient Graph Contrastive Learning
Ran Li, Shimin Di*, Lei Chen, Xiaofang Zhou
ICDE 2024 (CCF-A)
Search to Fine-tune Pre-trained Graph Neural Networks for Graph-level Tasks
Zhili Wang, Shimin Di*, Lei Chen, Xiaofang Zhou
ICDE 2024 (CCF-A)
E2GCL: Efficient and Expressive Contrastive Learning on Graph Neural Networks
Haoyang Li, Shimin Di*, Lei Chen, Xiaofang Zhou
ICDE 2024 (CCF-A)
Effective Data Selection and Replay for Unsupervised Continual Learning
Hanmo Liu, Shimin Di*, Haoyang Li, Shuangyin Li, Lei Chen, Xiaofang Zhou
ICDE 2024 (CCF-A)
Noise2Info: Noisy Image to Information of Noise for Self-Supervised Image Denoising
Jiachuan Wang, Shimin Di*, Lei Chen, Charles Wang Wai Ng
ICCV 2023 (CCF-A)
A Message Passing Neural Network Space for Better Capturing Data-dependent Receptive Fields
Zhili Wang, Shimin Di*, Lei Chen
SIGKDD 2023 (CCF-A)
Incremental Tabular Learning on Heterogeneous Feature Space
Hanmo Liu, Shimin Di*, Lei Chen
SIGMOD 2023 (CCF-A)
Revisiting Injective Attacks on Recommender Systems
Haoyang Li, Shimin Di*, Lei Chen
NeurIPS 2022 (CCF-A)
Black-box Adversarial Attack and Defense on Graph Neural Networks
Haoyang Li, Shimin Di*, Zijian Li, Lei Chen, Jiannong Cao
ICDE 2022 (CCF-A)
Searching to Sparsify Tensor Decomposition for N-ary Relational Data
Shimin Di, Quanming Yao*, Lei Chen
WWW 2021 (CCF-A)
Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding
Shimin Di, Yongqi Zhang, Quanming Yao*, Lei Chen
ICDE 2021 (CCF-A)
AutoGEL: An Automated Graph Neural Network with Explicit Link Information
Zhili Wang, Shimin Di*, Lei Chen
NeurIPS 2021 (CCF-A)
FluxEV: A Fast and Effective Unsupervised Framework for Time-Series Anomaly Detection
Jia Li, Shimin Di, Yanyan Shen*, Lei Chen
WSDM 2021 (CCF-B)
Relation Extraction via Domain-aware Transfer Learning
Shimin Di, Yanyan Shen*, Lei Chen
SIGKDD 2019 (CCF-A)
Transfer Learning via Feature Isomorphism Discovery
Shimin Di, Jingshu Peng, Yanyan Shen*, Lei Chen
SIGKDD 2018 (CCF-A)