Yili Wang - RankMe

33 papers A* 9A 1Journal 20Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Dual Mamba for Node-Specific Representation Learning: Tackling Over-Smoothing with Selective State Space Modeling. AAAI Xin He, Yili Wang, Yiwei Dai, Xin Wang
2026	—	`conf`	Graph Defense Diffusion Model. KDD (1) Xin He, Wenqi Fan, Yili Wang, Chengyi Liu, Rui Miao, Xin Juan, Xin Wang
2026	A*	`conf`	HyperD: Hybrid Periodicity Decoupling Framework for Traffic Forecasting. AAAI Minlan Shao, Zijian Zhang, Yili Wang, Yiwei Dai, Xu Shen, Xin Wang
2025	J	`jnl`	A Comprehensive Survey of Synthetic Tabular Data Generation. CoRR Ruxue Shi, Yili Wang, Mengnan Du, Xu Shen, Xin Wang
2025	J	`jnl`	AdaGCL+: An Adaptive Subgraph Contrastive Learning Toward Tackling Topological Bias. IEEE Trans. Pattern Anal. Mach. Intell. Yili Wang, Yaohua Liu, Ninghao Liu, Rui Miao, Ying Wang, Xin Wang
2025	J	`jnl`	Balancing user preferences by social networks: A condition-guided social recommendation model for mitigating popularity bias. Neural Networks Xin He, Wenqi Fan, Ruobing Wang, Yili Wang, Ying Wang, Shirui Pan, Xin Wang
2025	J	`jnl`	BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown Attacks. CoRR Rui Miao, Yixin Liu, Yili Wang, Xu Shen, Yue Tan, Yiwei Dai, Shirui Pan, Xin Wang
2025	A*	`conf`	CrystalICL: Enabling In-Context Learning for Crystal Generation. EMNLP Ruobing Wang, Qiaoyu Tan, Yili Wang, Ying Wang, Xin Wang
2025	J	`jnl`	CrystalICL: Enabling In-Context Learning for Crystal Generation. CoRR Ruobing Wang, Qiaoyu Tan, Yili Wang, Ying Wang, Xin Wang
2025	J	`jnl`	Dual Mamba for Node-Specific Representation Learning: Tackling Over-Smoothing with Selective State Space Modeling. CoRR Xin He, Yili Wang, Yiwei Dai, Xin Wang
2025	—	`conf`	Enhanced Molecular Property Prediction with SMILES and Graph Aligned Contrastive Learning. PAKDD (3) Minlan Shao, Yili Wang, Xu Shen, Xin Wang
2025	J	`jnl`	Graph Defense Diffusion Model. CoRR Xin He, Wenqi Fan, Yili Wang, Chengyi Liu, Rui Miao, Xin Juan, Xin Wang
2025	J	`jnl`	HyperD: Hybrid Periodicity Decoupling Framework for Traffic Forecasting. CoRR Minlan Shao, Zijian Zhang, Yili Wang, Yiwei Dai, Xu Shen, Xin Wang
2025	A*	`conf`	Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space. IJCAI Xin He, Yili Wang, Wenqi Fan, Xu Shen, Xin Juan, Rui Miao, Xin Wang
2025	J	`jnl`	Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space. CoRR Xin He, Yili Wang, Wenqi Fan, Xu Shen, Xin Juan, Rui Miao, Xin Wang
2025	J	`jnl`	Raising the Bar in Graph OOD Generalization: Invariant Learning Beyond Explicit Environment Modeling. CoRR Xu Shen, Yixin Liu, Yili Wang, Rui Miao, Yiwei Dai, Shirui Pan, Xin Wang
2025	A*	`conf`	Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems. EMNLP Xu Shen, Yixin Liu, Yiwei Dai, Yili Wang, Rui Miao, Yue Tan, Shirui Pan, Xin Wang
2025	J	`jnl`	Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems. CoRR Xu Shen, Yixin Liu, Yiwei Dai, Yili Wang, Rui Miao, Yue Tan, Shirui Pan, Xin Wang
2025	A*	`conf`	Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark. ICLR Yili Wang, Yixin Liu, Xu Shen, Chenyu Li, Rui Miao, Kaize Ding, Ying Wang, Shirui Pan, Xin Wang
2024	J	`jnl`	A two-stage co-adversarial perturbation to mitigate out-of-distribution generalization of large-scale graph. Expert Syst. Appl. Yili Wang, Haotian Xue, Xin Wang
2024	J	`jnl`	Balancing User Preferences by Social Networks: A Condition-Guided Social Recommendation Model for Mitigating Popularity Bias. CoRR Xin He, Wenqi Fan, Ruobing Wang, Yili Wang, Ying Wang, Shirui Pan, Xin Wang
2024	A*	`conf`	Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models. ICLR Yili Wang, Kaixiong Zhou, Ninghao Liu, Ying Wang, Xin Wang
2024	J	`jnl`	Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models. CoRR Yili Wang, Kaixiong Zhou, Ninghao Liu, Ying Wang, Xin Wang
2024	A*	`conf`	Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models. KDD Xu Shen, Yili Wang, Kaixiong Zhou, Shirui Pan, Xin Wang
2024	J	`jnl`	Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models. CoRR Xu Shen, Yili Wang, Kaixiong Zhou, Shirui Pan, Xin Wang
2024	—	`conf`	Pioneering Reliable Assessment in Text-to-Image Knowledge Editing: Leveraging a Fine-Grained Dataset and an Innovative Criterion. EMNLP (Findings) Hengrui Gu, Kaixiong Zhou, Yili Wang, Ruobing Wang, Xin Wang
2024	J	`jnl`	Pioneering Reliable Assessment in Text-to-Image Knowledge Editing: Leveraging a Fine-Grained Dataset and an Innovative Criterion. CoRR Hengrui Gu, Kaixiong Zhou, Yili Wang, Ruobing Wang, Xin Wang
2024	A*	`conf`	Rethinking Independent Cross-Entropy Loss For Graph-Structured Data. ICML Rui Miao, Kaixiong Zhou, Yili Wang, Ninghao Liu, Ying Wang, Xin Wang
2024	J	`jnl`	Rethinking Independent Cross-Entropy Loss For Graph-Structured Data. CoRR Rui Miao, Kaixiong Zhou, Yili Wang, Ninghao Liu, Ying Wang, Xin Wang
2024	J	`jnl`	Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark. CoRR Yili Wang, Yixin Liu, Xu Shen, Chenyu Li, Kaize Ding, Rui Miao, Ying Wang, Shirui Pan, Xin Wang
2022	A	`conf`	AdaGCL: Adaptive Subgraph Contrastive Learning to Generalize Large-scale Graph Training. CIKM Yili Wang, Kaixiong Zhou, Rui Miao, Ninghao Liu, Xin Wang
2022	J	`jnl`	Contrastive Graph Convolutional Networks with adaptive augmentation for text classification. Inf. Process. Manag. Yintao Yang, Rui Miao, Yili Wang, Xin Wang
2022	J	`jnl`	LTPConstraint: a transfer learning based end-to-end method for RNA secondary structure prediction. BMC Bioinform. Yinchao Fei, Hao Zhang, Yili Wang, Zhen Liu, Yuanning Liu