Shimin Di

According to our database, Shimin Di authored at least 40 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Towards Self-cognitive Exploration: Metacognitive Knowledge Graph Retrieval Augmented Generation.

Xujie Yuan, Shimin Di, Jielong Tang, Libin Zheng, Jian Yin

CoRR, August, 2025

E3-Rewrite: Learning to Rewrite SQL for Executability, Equivalence,and Efficiency.

Dongjie Xu, Yue Cui, Weijie Shi, Qingzhi Ma, Hanghui Guo, Jiaming Li, Yao Zhao, Ruiyuan Zhang, Shimin Di, Jia Zhu, Kai Zheng, Jiajie Xu

CoRR, August, 2025

Understanding the Embedding Models on Hyper-relational Knowledge Graph.

Yubo Wang, Shimin Di, Zhili Wang, Haoyang Li, Fei Teng, Hao Xin, Lei Chen

CoRR, August, 2025

Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models.

Linan Yue, Yichao Du, Yizhi Wang, Weibo Gao, Fangzhou Yao, Li Wang, Ye Liu, Ziyu Xu, Qi Liu, Shimin Di, Min-Ling Zhang

CoRR, August, 2025

RemoteReasoner: Towards Unifying Geospatial Reasoning Workflow.

Liang Yao, Fan Liu, Hongbo Lu, Chuanyi Zhang, Rui Min, Shengxiang Xu, Shimin Di, Pai Peng

CoRR, July, 2025

Beyond Model Base Selection: Weaving Knowledge to Master Fine-grained Neural Network Design.

Jialiang Wang, Hanmo Liu, Shimin Di, Zhili Wang, Jiachuan Wang, Lei Chen, Xiaofang Zhou

CoRR, July, 2025

Beyond path selection: Better LLMs for Scientific Information Extraction with MimicSFT and Relevance and Rule-induced(R²)GRPO.

Ran Li, Shimin Di, Yuchen Liu, Chen Jing, Yu Qiu, Lei Chen

CoRR, May, 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

CoRR, May, 2025

Learning Towards Emergence: Paving the Way to Induce Emergence by Inhibiting Monosemantic Neurons on Pre-trained Models.

Jiachuan Wang, Shimin Di, Tianhao Tang, Haoyang Li, Charles Wang Wai Ng, Xiaofang Zhou, Lei Chen

CoRR, March, 2025

A Selective Learning Method for Temporal Graph Continual Learning.

Hanmo Liu, Shimin Di, Haoyang Li, Xun Jian, Yue Wang, Lei Chen

CoRR, March, 2025

Efficient Latent-based Scoring Function Search for N-ary Relational Knowledge Bases.

Shimin Di, Yongqi Zhang, Quanming Yao, Xiaofang Zhou, Lei Chen

ACM Trans. Knowl. Discov. Data, February, 2025

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

CoRR, February, 2025

FGRCAT: A fine-grained reasoning framework through causality and adversarial training.

Hanghui Guo, Shimin Di, Zhangze Chen, Changfan Pan, Chaojun Meng, Jia Zhu

Expert Syst. Appl., 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

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense.

Haoyang Li, Shimin Di, Calvin Hong Yi Li, Lei Chen, Xiaofang Zhou

Proc. VLDB Endow., April, 2024

Class-aware and Augmentation-free Contrastive Learning from Label Proportion.

Jialiang Wang, Ning Zhang, Shimin Di, Ruidong Wang, Lei Chen

CoRR, 2024

Computation-friendly Graph Neural Network Design by Accumulating Knowledge on Large Language Models.

Jialiang Wang, Shimin Di, Hanmo Liu, Zhili Wang, Jiachuan Wang, Lei Chen, Xiaofang Zhou

CoRR, 2024

Cardinality Estimation on Hyper-relational Knowledge Graphs.

Fei Teng, Haoyang Li, Shimin Di, Lei Chen

CoRR, 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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

SimDiff: Simple Denoising Probabilistic Latent Diffusion Model for Data Augmentation on Multi-modal Knowledge Graph.

Ran Li, Shimin Di, Lei Chen, Xiaofang Zhou

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Search to Fine-Tune Pre-Trained Graph Neural Networks for Graph-Level Tasks.

Zhili Wang, Shimin Di, Lei Chen, Xiaofang Zhou

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Effective Data Selection and Replay for Unsupervised Continual Learning.

Hanmo Liu, Shimin Di, Haoyang Li, Shuangyin Li, Lei Chen, Xiaofang Zhou

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

E²GCL: Efficient and Expressive Contrastive Learning on Graph Neural Networks.

Haoyang Li, Shimin Di, Lei Chen, Xiaofang Zhou

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

GradGCL: Gradient Graph Contrastive Learning.

Ran Li, Shimin Di, Lei Chen, Xiaofang Zhou

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

A Universal and Interpretable Method for Enhancing Stock Price Prediction.

Yuchen Liu, Shimin Di, Lei Chen, Xiaofang Zhou, Fei Lin

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Incremental Tabular Learning on Heterogeneous Feature Space.

Hanmo Liu, Shimin Di, Lei Chen

Proc. ACM Manag. Data, 2023

Single-Cell RNA-seq Synthesis with Latent Diffusion Model.

Yixuan Wang, Shuangyin Li, Shimin Di, Lei Chen

CoRR, 2023

Emergence Learning: A Rising Direction from Emergent Abilities and a Monosemanticity-Based Study.

Jiachuan Wang, Shimin Di, Lei Chen, Charles Wang Wai Ng

CoRR, 2023

Message Function Search for Knowledge Graph Embedding.

Shimin Di, Lei Chen

Proceedings of the ACM Web Conference 2023, 2023

A Message Passing Neural Network Space for Better Capturing Data-dependent Receptive Fields.

Zhili Wang, Shimin Di, Lei Chen

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Noise2Info: Noisy Image to Information of Noise for Self-Supervised Image Denoising.

Jiachuan Wang, Shimin Di, Lei Chen, Charles Wang Wai Ng

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Revisiting Injective Attacks on Recommender Systems.

Haoyang Li, Shimin Di, Lei Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Black-box Adversarial Attack and Defense on Graph Neural Networks.

Haoyang Li, Shimin Di, Zijian Li, Lei Chen, Jiannong Cao

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Searching to Sparsify Tensor Decomposition for N-ary Relational Data.

Shimin Di, Quanming Yao, Lei Chen

Proceedings of the WWW '21: The Web Conference 2021, 2021

FluxEV: A Fast and Effective Unsupervised Framework for Time-Series Anomaly Detection.

Jia Li, Shimin Di, Yanyan Shen, Lei Chen

Proceedings of the WSDM '21, 2021

AutoGEL: An Automated Graph Neural Network with Explicit Link Information.

Zhili Wang, Shimin Di, Lei Chen

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding.

Shimin Di, Quanming Yao, Yongqi Zhang, Lei Chen

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2019

Relation Extraction via Domain-aware Transfer Learning.

Shimin Di, Yanyan Shen, Lei Chen

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Transfer Learning via Feature Isomorphism Discovery.

Shimin Di, Jingshu Peng, Yanyan Shen, Lei Chen

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018