Shimin Di - RankMe

72 papers A* 25A 4Journal 39Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ACR: Adaptive Context Refactoring via Context Refactoring Operators for Multi-Turn Dialogue. CoRR Jiawei Shen, Jia Zhu, Hanghui Guo, Weijie Shi, Yue Cui, Qingyu Niu, Guoqing Ma, Yidan Liang, Jingjiang Liu, Yiling Wang, Shimin Di, Jiajie Xu
2026	A*	`conf`	Active Multi-source Domain Adaptation for Multimodal Fake News Detection. AAAI 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	A*	`conf`	CoS: Towards Optimal Event Scheduling via Chain-of-Scheduling. AAAI Yiming Zhao, Jiwei Tang, Shimin Di, Libin Zheng, Jianxing Yu, Jian Yin
2026	J	`jnl`	DC-Merge: Improving Model Merging with Directional Consistency. CoRR Han-Chen Zhang, Zi-Hao Zhou, Mao-Lin Luo, Shimin Di, Min-Ling Zhang, Tong Wei
2026	A*	`conf`	Faithful in Steps: Improving Generalization and Citation in RAG via Query Decomposition. AAAI Yue Liu, Zhongying Ru, Shimin Di, Jipeng Zhang, Ruiyuan Zhang, Xiaofang Zhou
2026	J	`jnl`	Guided by Trajectories: Repairing and Rewarding Tool-Use Trajectories for Tool-Integrated Reasoning. CoRR Siyu Gong, Linan Yue, Weibo Gao, Fangzhou Yao, Shimin Di, Lei Feng, Min-Ling Zhang
2026	J	`jnl`	Learning to Compose for Cross-domain Agentic Workflow Generation. CoRR Jialiang Wang, Shengxiang Xu, Hanmo Liu, Jiachuan Wang, Yuyu Luo, Shimin Di, Min-Ling Zhang, Lei Chen
2026	J	`jnl`	PeroMAS: A Multi-agent System of Perovskite Material Discovery. CoRR Yishu Wang, Wei Liu, Yifan Li, Shengxiang Xu, Xujie Yuan, Ran Li, Yuyu Luo, Jia Zhu, Shimin Di, Min-Ling Zhang, Guixiang Li
2026	A	`conf`	Proficient Graph Neural Network Design by Accumulating Knowledge on Large Language Models. WSDM Jialiang Wang, Hanmo Liu, Shimin Di, Zhili Wang, Jiachuan Wang, Lei Chen, Xiaofang Zhou
2026	A*	`conf`	RemoteReasoner: Towards Unifying Geospatial Reasoning Workflow. AAAI Liang Yao, Fan Liu, Hongbo Lu, Chuanyi Zhang, Rui Min, Shengxiang Xu, Shimin Di, Pai Peng
2026	J	`jnl`	RxnNano:Training Compact LLMs for Chemical Reaction and Retrosynthesis Prediction via Hierarchical Curriculum Learning. CoRR Ran Li, Shimin Di, Haowei Li, Luanshi Bu, Jiachuan Wang, Wangze Ni, Lei Chen
2026	J	`jnl`	Sci-VLA: Agentic VLA Inference Plugin for Long-Horizon Tasks in Scientific Experiments. CoRR Yiwen Pang, Bowen Zhou, Changjin Li, Xuanhao Wang, Shengxiang Xu, Deng-Bao Wang, Min-Ling Zhang, Shimin Di
2026	A*	`conf`	TIV: Thought Injection via Vectors for Efficient Reasoning in Large Reasoning Models. AAAI 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	J	`jnl`	ToolRosetta: Bridging Open-Source Repositories and Large Language Model Agents through Automated Tool Standardization. CoRR Shimin Di, Xujie Yuan, Hanghui Guo, Chaoqian Ouyang, Zhangze Chen, Ling Yue, Libin Zheng, Jia Zhu, Shaowu Pan, Jian Yin, Min-Ling Zhang, Yong Rui
2026	—	`conf`	Towards Self-cognitive Exploration: Metacognitive Knowledge Graph Retrieval Augmented Generation. KDD (1) Xujie Yuan, Shimin Di, Jielong Tang, Libin Zheng, Jian Yin
2025	J	`jnl`	A Pilot Empirical Study on When and How to Use Knowledge Graphs as Retrieval Augmented Generation. CoRR Xujie Yuan, Yongxu Liu, Shimin Di, Shiwen Wu, Libin Zheng, Rui Meng, Lei Chen, Xiaofang Zhou, Jian Yin
2025	A*	`conf`	A Selective Learning Method for Temporal Graph Continual Learning. ICML Hanmo Liu, Shimin Di, Haoyang Li, Xun Jian, Yue Wang, Lei Chen
2025	J	`jnl`	A Selective Learning Method for Temporal Graph Continual Learning. CoRR Hanmo Liu, Shimin Di, Haoyang Li, Xun Jian, Yue Wang, Lei Chen
2025	J	`jnl`	A Survey of Data Agents: Emerging Paradigm or Overstated Hype? CoRR Yizhang Zhu, Liangwei Wang, Chenyu Yang, Xiaotian Lin, Boyan Li, Wei Zhou, Xinyu Liu, Zhangyang Peng, Tianqi Luo, Yu Li, Chengliang Chai, Chong Chen, Shimin Di, Ju Fan, Ji Sun, Nan Tang, Fugee Tsung, Jiannan Wang, Chenglin Wu, Yanwei Xu, Shaolei Zhang, Yong Zhang, Xuanhe Zhou, Guoliang Li, Yuyu Luo
2025	J	`jnl`	Beyond Model Base Selection: Weaving Knowledge to Master Fine-grained Neural Network Design. CoRR Jialiang Wang, Hanmo Liu, Shimin Di, Zhili Wang, Jiachuan Wang, Lei Chen, Xiaofang Zhou
2025	J	`jnl`	Beyond path selection: Better LLMs for Scientific Information Extraction with MimicSFT and Relevance and Rule-induced(R CoRR Ran Li, Shimin Di, Yuchen Liu, Chen Jing, Yu Qiu, Lei Chen
2025	J	`jnl`	CoS: Towards Optimal Event Scheduling via Chain-of-Scheduling. CoRR Yiming Zhao, Jiwei Tang, Shimin Di, Libin Zheng, Jianxing Yu, Jian Yin
2025	J	`jnl`	Code2MCP: Transforming Code Repositories into MCP Services. CoRR Chaoqian Ouyang, Ling Yue, Shimin Di, Libin Zheng, Linan Yue, Shaowu Pan, Jian Yin, Min-Ling Zhang
2025	—	`conf`	DioR: Adaptive Cognitive Detection and Contextual Retrieval Optimization for Dynamic Retrieval-Augmented Generation. ACL (1) Hanghui Guo, Jia Zhu, Shimin Di, Weijie Shi, Zhangze Chen, Jiajie Xu
2025	J	`jnl`	DioR: Adaptive Cognitive Detection and Contextual Retrieval Optimization for Dynamic Retrieval-Augmented Generation. CoRR Hanghui Guo, Jia Zhu, Shimin Di, Weijie Shi, Zhangze Chen, Jiajie Xu
2025	J	`jnl`	Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models. CoRR Linan Yue, Yichao Du, Yizhi Wang, Weibo Gao, Fangzhou Yao, Li Wang, Ye Liu, Ziyu Xu, Qi Liu, Shimin Di, Min-Ling Zhang
2025	J	`jnl`	DynaGen: Unifying Temporal Knowledge Graph Reasoning with Dynamic Subgraphs and Generative Regularization. CoRR Jiawei Shen, Jia Zhu, Hanghui Guo, Weijie Shi, Guoqing Ma, Yidan Liang, Jingjiang Liu, Hao Chen, Shimin Di
2025	J	`jnl`	E3-Rewrite: Learning to Rewrite SQL for Executability, Equivalence,and Efficiency. CoRR Dongjie Xu, Yue Cui, Weijie Shi, Qingzhi Ma, Hanghui Guo, Jiaming Li, Yao Zhao, Ruiyuan Zhang, Shimin Di, Jia Zhu, Kai Zheng, Jiajie Xu
2025	—	`conf`	ESCFD: Probabilistic Flow Diffusion Model for Accelerated High-Quality Single-Cell RNA-seq Data Synthesis. KDD (2) Shuangyin Li, Jihua Yang, Yixuan Wang, Shimin Di, Lei Chen
2025	J	`jnl`	Efficient Latent-based Scoring Function Search for N-ary Relational Knowledge Bases. ACM Trans. Knowl. Discov. Data Shimin Di, Yongqi Zhang, Quanming Yao, Xiaofang Zhou, Lei Chen
2025	J	`jnl`	FGRCAT: A fine-grained reasoning framework through causality and adversarial training. Expert Syst. Appl. Hanghui Guo, Shimin Di, Zhangze Chen, Changfan Pan, Chaojun Meng, Jia Zhu
2025	J	`jnl`	Learning Towards Emergence: Paving the Way to Induce Emergence by Inhibiting Monosemantic Neurons on Pre-trained Models. CoRR Jiachuan Wang, Shimin Di, Tianhao Tang, Haoyang Li, Charles Wang Wai Ng, Xiaofang Zhou, Lei Chen
2025	J	`jnl`	MuPlon: Multi-Path Causal Optimization for Claim Verification through Controlling Confounding. CoRR Hanghui Guo, Shimin Di, Pasquale De Meo, Zhangze Chen, Jia Zhu
2025	J	`jnl`	RemoteReasoner: Towards Unifying Geospatial Reasoning Workflow. CoRR Liang Yao, Fan Liu, Hongbo Lu, Chuanyi Zhang, Rui Min, Shengxiang Xu, Shimin Di, Pai Peng
2025	A*	`conf`	RemoteSAM: Towards Segment Anything for Earth Observation. ACM Multimedia Liang Yao, Fan Liu, Delong Chen, Chuanyi Zhang, Yijun Wang, Ziyun Chen, Wei Xu, Shimin Di, Yuhui Zheng
2025	J	`jnl`	RemoteSAM: Towards Segment Anything for Earth Observation. CoRR Liang Yao, Fan Liu, Delong Chen, Chuanyi Zhang, Yijun Wang, Ziyun Chen, Wei Xu, Shimin Di, Yuhui Zheng
2025	J	`jnl`	RobustFlow: Towards Robust Agentic Workflow Generation. CoRR Shengxiang Xu, Jiayi Zhang, Shimin Di, Yuyu Luo, Liang Yao, Hanmo Liu, Jia Zhu, Fan Liu, Min-Ling Zhang
2025	A*	`conf`	Structuring Benchmark into Knowledge Graphs to Assist Large Language Models in Retrieving and Designing Models. ICLR Hanmo Liu, Shimin Di, Jialiang Wang, Zhili Wang, Jiachuan Wang, Xiaofang Zhou, Lei Chen
2025	J	`jnl`	Towards Self-cognitive Exploration: Metacognitive Knowledge Graph Retrieval Augmented Generation. CoRR Xujie Yuan, Shimin Di, Jielong Tang, Libin Zheng, Jian Yin
2025	A*	`conf`	UEMM-Air: Enable UAVs to Undertake More Multi-modal Tasks. ACM Multimedia Liang Yao, Fan Liu, Shengxiang Xu, Chuanyi Zhang, Shimin Di, Xing Ma, Jianyu Jiang, Zequan Wang, Jun Zhou
2025	A	`conf`	Understanding the Embedding Models on Hyper-relational Knowledge Graph. CIKM Yubo Wang, Shimin Di, Zhili Wang, Haoyang Li, Fei Teng, Hao Xin, Lei Chen
2025	J	`jnl`	Understanding the Embedding Models on Hyper-relational Knowledge Graph. CoRR Yubo Wang, Shimin Di, Zhili Wang, Haoyang Li, Fei Teng, Hao Xin, Lei Chen
2024	A	`conf`	A Universal and Interpretable Method for Enhancing Stock Price Prediction. CIKM Yuchen Liu, Shimin Di, Lei Chen, Xiaofang Zhou, Fei Lin
2024	J	`jnl`	Cardinality Estimation on Hyper-relational Knowledge Graphs. CoRR Fei Teng, Haoyang Li, Shimin Di, Lei Chen
2024	J	`jnl`	Class-aware and Augmentation-free Contrastive Learning from Label Proportion. CoRR Jialiang Wang, Ning Zhang, Shimin Di, Ruidong Wang, Lei Chen
2024	J	`jnl`	Computation-friendly Graph Neural Network Design by Accumulating Knowledge on Large Language Models. CoRR Jialiang Wang, Shimin Di, Hanmo Liu, Zhili Wang, Jiachuan Wang, Lei Chen, Xiaofang Zhou
2024	A*	`conf`	E ICDE Haoyang Li, Shimin Di, Lei Chen, Xiaofang Zhou
2024	A*	`conf`	Effective Data Selection and Replay for Unsupervised Continual Learning. ICDE Hanmo Liu, Shimin Di, Haoyang Li, Shuangyin Li, Lei Chen, Xiaofang Zhou
2024	J	`jnl`	Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense. Proc. VLDB Endow. Haoyang Li, Shimin Di, Calvin Hong Yi Li, Lei Chen, Xiaofang Zhou
2024	A*	`conf`	GradGCL: Gradient Graph Contrastive Learning. ICDE Ran Li, Shimin Di, Lei Chen, Xiaofang Zhou
2024	A*	`conf`	Learning from Emergence: A Study on Proactively Inhibiting the Monosemantic Neurons of Artificial Neural Networks. KDD Jiachuan Wang, Shimin Di, Lei Chen, Charles Wang Wai Ng
2024	—	`conf`	Path-based Link Prediction on Hyper-relational Knowledge Graph. CAI Shuzhi Liu, Shimin Di, Jianwen Peng, Quanming Yao
2024	A*	`conf`	Search to Fine-Tune Pre-Trained Graph Neural Networks for Graph-Level Tasks. ICDE Zhili Wang, Shimin Di, Lei Chen, Xiaofang Zhou
2024	A*	`conf`	SimDiff: Simple Denoising Probabilistic Latent Diffusion Model for Data Augmentation on Multi-modal Knowledge Graph. KDD Ran Li, Shimin Di, Lei Chen, Xiaofang Zhou
2023	A*	`conf`	A Message Passing Neural Network Space for Better Capturing Data-dependent Receptive Fields. KDD Zhili Wang, Shimin Di, Lei Chen
2023	J	`jnl`	Emergence Learning: A Rising Direction from Emergent Abilities and a Monosemanticity-Based Study. CoRR Jiachuan Wang, Shimin Di, Lei Chen, Charles Wang Wai Ng
2023	J	`jnl`	Incremental Tabular Learning on Heterogeneous Feature Space. Proc. ACM Manag. Data Hanmo Liu, Shimin Di, Lei Chen
2023	A*	`conf`	Message Function Search for Knowledge Graph Embedding. WWW Shimin Di, Lei Chen
2023	A*	`conf`	Noise2Info: Noisy Image to Information of Noise for Self-Supervised Image Denoising. ICCV Jiachuan Wang, Shimin Di, Lei Chen, Charles Wang Wai Ng
2023	J	`jnl`	Search to Fine-tune Pre-trained Graph Neural Networks for Graph-level Tasks. CoRR Zhili Wang, Shimin Di, Lei Chen, Xiaofang Zhou
2023	J	`jnl`	Single-Cell RNA-seq Synthesis with Latent Diffusion Model. CoRR Yixuan Wang, Shuangyin Li, Shimin Di, Lei Chen
2022	A*	`conf`	Black-box Adversarial Attack and Defense on Graph Neural Networks. ICDE Haoyang Li, Shimin Di, Zijian Li, Lei Chen, Jiannong Cao
2022	A*	`conf`	Revisiting Injective Attacks on Recommender Systems. NeurIPS Haoyang Li, Shimin Di, Lei Chen
2021	A*	`conf`	AutoGEL: An Automated Graph Neural Network with Explicit Link Information. NeurIPS Zhili Wang, Shimin Di, Lei Chen
2021	J	`jnl`	AutoGEL: An Automated Graph Neural Network with Explicit Link Information. CoRR Zhili Wang, Shimin Di, Lei Chen
2021	A*	`conf`	Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding. ICDE Shimin Di, Quanming Yao, Yongqi Zhang, Lei Chen
2021	J	`jnl`	Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding. CoRR Shimin Di, Quanming Yao, Yongqi Zhang, Lei Chen
2021	A	`conf`	FluxEV: A Fast and Effective Unsupervised Framework for Time-Series Anomaly Detection. WSDM Jia Li, Shimin Di, Yanyan Shen, Lei Chen
2021	A*	`conf`	Searching to Sparsify Tensor Decomposition for N-ary Relational Data. WWW Shimin Di, Quanming Yao, Lei Chen
2021	J	`jnl`	Searching to Sparsify Tensor Decomposition for N-ary Relational Data. CoRR Shimin Di, Quanming Yao, Lei Chen
2019	A*	`conf`	Relation Extraction via Domain-aware Transfer Learning. KDD Shimin Di, Yanyan Shen, Lei Chen
2018	A*	`conf`	Transfer Learning via Feature Isomorphism Discovery. KDD Shimin Di, Jingshu Peng, Yanyan Shen, Lei Chen