Transfer Learning via Feature Isomorphism Discovery. - Shimin Di; Jingshu Peng; Yanyan Shen; Lei Chen 002 (KDD, 2018)

Relation Extraction via Domain-aware Transfer Learning. - Shimin Di; Yanyan Shen; Lei Chen 002 (KDD, 2019)

Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding. - Shimin Di; Quanming Yao; Yongqi Zhang; Lei Chen 002 (ICDE, 2021)

AutoGEL: An Automated Graph Neural Network with Explicit Link Information. - Zhili Wang; Shimin Di; Lei Chen 002 (NeurIPS, 2021)

FluxEV: A Fast and Effective Unsupervised Framework for Time-Series Anomaly Detection. - Jia Li 014; Shimin Di; Yanyan Shen; Lei Chen 002 (WSDM, 2021)

Searching to Sparsify Tensor Decomposition for N-ary Relational Data. - Shimin Di; Quanming Yao; Lei Chen 002 (WWW, 2021)

Black-box Adversarial Attack and Defense on Graph Neural Networks. - Haoyang Li 002; Shimin Di; Zijian Li 002; Lei Chen 002; Jiannong Cao 001 (ICDE, 2022)

Revisiting Injective Attacks on Recommender Systems. - Haoyang Li 002; Shimin Di; Lei Chen 002 (NeurIPS, 2022)

Noise2Info: Noisy Image to Information of Noise for Self-Supervised Image Denoising. - Jiachuan Wang; Shimin Di; Lei Chen 002; 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 002 (KDD, 2023)

Message Function Search for Knowledge Graph Embedding. - Shimin Di; Lei Chen 002 (WWW, 2023)

Emergence Learning: A Rising Direction from Emergent Abilities and a Monosemanticity-Based Study. - Jiachuan Wang; Shimin Di; Lei Chen 002; Charles Wang Wai Ng (CoRR, 2023)

Single-Cell RNA-seq Synthesis with Latent Diffusion Model. - Yixuan Wang; Shuangyin Li; Shimin Di; Lei Chen 002 (CoRR, 2023)

Incremental Tabular Learning on Heterogeneous Feature Space. - Hanmo Liu; Shimin Di; Lei Chen 002 (Proc. ACM Manag. Data, 2023)

A Universal and Interpretable Method for Enhancing Stock Price Prediction. - Yuchen Liu; Shimin Di; Lei Chen 002; Xiaofang Zhou 001; Fei Lin (CIKM, 2024)

GradGCL: Gradient Graph Contrastive Learning. - Ran Li; Shimin Di; Lei Chen 002; Xiaofang Zhou 001 (ICDE, 2024)

E2GCL: Efficient and Expressive Contrastive Learning on Graph Neural Networks. - Haoyang Li 002; Shimin Di; Lei Chen 002; Xiaofang Zhou 001 (ICDE, 2024)

Effective Data Selection and Replay for Unsupervised Continual Learning. - Hanmo Liu; Shimin Di; Haoyang Li 002; Shuangyin Li; Lei Chen 002; Xiaofang Zhou 001 (ICDE, 2024)

Search to Fine-Tune Pre-Trained Graph Neural Networks for Graph-Level Tasks. - Zhili Wang; Shimin Di; Lei Chen 002; Xiaofang Zhou 001 (ICDE, 2024)

SimDiff: Simple Denoising Probabilistic Latent Diffusion Model for Data Augmentation on Multi-modal Knowledge Graph. - Ran Li; Shimin Di; Lei Chen 002; Xiaofang Zhou 001 (KDD, 2024)

Learning from Emergence: A Study on Proactively Inhibiting the Monosemantic Neurons of Artificial Neural Networks. - Jiachuan Wang; Shimin Di; Lei Chen 002; Charles Wang Wai Ng (KDD, 2024)

Cardinality Estimation on Hyper-relational Knowledge Graphs. - Fei Teng; Haoyang Li 002; Shimin Di; Lei Chen 002 (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 002; Xiaofang Zhou 001 (CoRR, 2024)

Class-aware and Augmentation-free Contrastive Learning from Label Proportion. - Jialiang Wang; Ning Zhang; Shimin Di; Ruidong Wang; Lei Chen 002 (CoRR, 2024)

Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense. - Haoyang Li 002; Shimin Di; Calvin Hong Yi Li; Lei Chen 002; Xiaofang Zhou 001 (Proc. VLDB Endow., 2024)

DioR: Adaptive Cognitive Detection and Contextual Retrieval Optimization for Dynamic Retrieval-Augmented Generation. - Hanghui Guo; Jia Zhu 003; Shimin Di; Weijie Shi; Zhangze Chen; Jiajie Xu 001 (ACL (1), 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 001; Lei Chen 002 (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 003 (Expert Syst. Appl., 2025)

A Pilot Empirical Study on When and How to Use Knowledge Graphs as Retrieval Augmented Generation. - Xujie Yuan; Yongxu Liu 003; Shimin Di; Shiwen Wu; Libin Zheng; Rui Meng; Lei Chen 002; Xiaofang Zhou 001; Jian Yin 001 (CoRR, 2025)

Efficient Latent-based Scoring Function Search for N-ary Relational Knowledge Bases. - Shimin Di; Yongqi Zhang; Quanming Yao; Xiaofang Zhou 001; Lei Chen 035 (ACM Trans. Knowl. Discov. Data, 2025)

A Selective Learning Method for Temporal Graph Continual Learning. - Hanmo Liu; Shimin Di; Haoyang Li 002; Xun Jian 001; Yue Wang 012; Lei Chen 002 (CoRR, 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 002; Charles Wang Wai Ng; Xiaofang Zhou 001; Lei Chen 002 (CoRR, 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, 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 002 (CoRR, 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 002; Xiaofang Zhou 001 (CoRR, 2025)

RemoteReasoner: Towards Unifying Geospatial Reasoning Workflow. - Liang Yao; Fan Liu; Hongbo Lu; Chuanyi Zhang; Rui Min; Shengxiang Xu; Shimin Di; Pai Peng (CoRR, 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 014; Ye Liu 011; Ziyu Xu; Qi Liu 003; Shimin Di; Min-Ling Zhang (CoRR, 2025)

Understanding the Embedding Models on Hyper-relational Knowledge Graph. - Yubo Wang 006; Shimin Di; Zhili Wang; Haoyang Li 002; Fei Teng; Hao Xin; Lei Chen 002 (CoRR, 2025)

E3-Rewrite: Learning to Rewrite SQL for Executability, Equivalence,and Efficiency. - Dongjie Xu; Yue Cui 001; Weijie Shi; Qingzhi Ma; Hanghui Guo; Jiaming Li; Yao Zhao; Ruiyuan Zhang; Shimin Di; Jia Zhu 003; Kai Zheng 001; Jiajie Xu 001 (CoRR, 2025)

Towards Self-cognitive Exploration: Metacognitive Knowledge Graph Retrieval Augmented Generation. - Xujie Yuan; Shimin Di; Jielong Tang; Libin Zheng; Jian Yin 001 (CoRR, 2025)