| 2026 | AAAI | 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 |
| 2026 | AAAI | Active Multi-source Domain Adaptation for Multimodal Fake News Detection. | Yanping Chen, Weijie Shi, Mengze Li, Yue Cui, Jiaming Li, Ruiyuan Zhang, Hao Chen, Hanghui Guo, Shimin Di, Ziyi Liu, Jia Zhu, Jiajie Xu |
| 2026 | AAAI | Faithful in Steps: Improving Generalization and Citation in RAG via Query Decomposition. | Yue Liu, Zhongying Ru, Shimin Di, Jipeng Zhang, Ruiyuan Zhang, Xiaofang Zhou |
| 2026 | AAAI | RemoteReasoner: Towards Unifying Geospatial Reasoning Workflow. | Liang Yao, Fan Liu, Hongbo Lu, Chuanyi Zhang, Rui Min, Shengxiang Xu, Shimin Di, Pai Peng |
| 2026 | AAAI | CoS: Towards Optimal Event Scheduling via Chain-of-Scheduling. | Yiming Zhao, Jiwei Tang, Shimin Di, Libin Zheng, Jianxing Yu, Jian Yin |
| 2026 | ACL | 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 |
| 2026 | ACL | 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 |
| 2026 | ACL | 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, Jingjiang Liu, Yidan Liang, Yilin Wang, Shimin Di, Jiajie Xu |
| 2026 | DASFAA | 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 |
| 2026 | KDD | Towards Self-cognitive Exploration: Metacognitive Knowledge Graph Retrieval Augmented Generation. | Xujie Yuan, Shimin Di, Jielong Tang, Libin Zheng, Jian Yin |
| 2026 | WWW | RobustReviewAI: A Robustness Evaluation System for AI-Powered Peer Review. | Siming Yuan, Yuchen Liu, Qinan Zheng, Wangze Ni, Shimin Di, Lei Chen, Kui Ren |
| 2026 | WSDM | 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 |
| 2025 | ACL | 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 |
| 2025 | CIKM | Understanding the Embedding Models on Hyper-relational Knowledge Graph. | Yubo Wang, Shimin Di, Zhili Wang, Haoyang Li, Fei Teng, Hao Xin, Lei Chen |
| 2025 | ICLR | 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 |
| 2025 | ICML | A Selective Learning Method for Temporal Graph Continual Learning. | Hanmo Liu, Shimin Di, Haoyang Li, Xun Jian, Yue Wang, Lei Chen |
| 2025 | KDD | 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 |
| 2024 | CIKM | A Universal and Interpretable Method for Enhancing Stock Price Prediction. | Yuchen Liu, Shimin Di, Lei Chen, Xiaofang Zhou, Fei Lin |
| 2024 | ICDE | GradGCL: Gradient Graph Contrastive Learning. | Ran Li, Shimin Di, Lei Chen, Xiaofang Zhou |
| 2024 | ICDE | E | Haoyang Li, Shimin Di, Lei Chen, Xiaofang Zhou |
| 2024 | ICDE | Effective Data Selection and Replay for Unsupervised Continual Learning. | Hanmo Liu, Shimin Di, Haoyang Li, Shuangyin Li, Lei Chen, Xiaofang Zhou |
| 2024 | ICDE | Search to Fine-Tune Pre-Trained Graph Neural Networks for Graph-Level Tasks. | Zhili Wang, Shimin Di, Lei Chen, Xiaofang Zhou |
| 2024 | KDD | SimDiff: Simple Denoising Probabilistic Latent Diffusion Model for Data Augmentation on Multi-modal Knowledge Graph. | Ran Li, Shimin Di, Lei Chen, Xiaofang Zhou |
| 2024 | KDD | 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 |
| 2023 | ICCV | Noise2Info: Noisy Image to Information of Noise for Self-Supervised Image Denoising. | Jiachuan Wang, Shimin Di, Lei Chen, Charles Wang Wai Ng |
| 2023 | KDD | A Message Passing Neural Network Space for Better Capturing Data-dependent Receptive Fields. | Zhili Wang, Shimin Di, Lei Chen |
| 2023 | WWW | Message Function Search for Knowledge Graph Embedding. | Shimin Di, Lei Chen |
| 2022 | ICDE | Black-box Adversarial Attack and Defense on Graph Neural Networks. | Haoyang Li, Shimin Di, Zijian Li, Lei Chen, Jiannong Cao |
| 2021 | ICDE | Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding. | Shimin Di, Quanming Yao, Yongqi Zhang, Lei Chen |
| 2021 | WWW | Searching to Sparsify Tensor Decomposition for N-ary Relational Data. | Shimin Di, Quanming Yao, Lei Chen |
| 2021 | WSDM | FluxEV: A Fast and Effective Unsupervised Framework for Time-Series Anomaly Detection. | Jia Li, Shimin Di, Yanyan Shen, Lei Chen |
| 2019 | KDD | Relation Extraction via Domain-aware Transfer Learning. | Shimin Di, Yanyan Shen, Lei Chen |
| 2018 | KDD | Transfer Learning via Feature Isomorphism Discovery. | Shimin Di, Jingshu Peng, Yanyan Shen, Lei Chen |