Xin Wang - RankMe

90 papers A* 19A 1B 1Journal 54Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Automatic self-supervised learning for social recommendations. Neurocomputing Xin He, Wenqi Fan, Ying Wang, Mingchen Sun, Xin Wang
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	J	`jnl`	DualAdaptNet: Enhancing domain adaptation regression with error accumulation reduction and dual-head heterogeneous learning. Pattern Recognit. Xin Wang, Yuan Wu, Xingyu Zhu, Yi Chang, Yixing Gao
2026	J	`jnl`	DyFiLM: A framework to handle the distribution shifts on dynamic graphs with hypernetworks. Neural Networks Fuyuan Ma, Yuhan Wang, Shixuan Ma, Yongzhen Li, Xin Wang, Ying 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
2026	J	`jnl`	Universal Domain Alignment Framework for Classification and Regression Tasks. IEEE Trans. Artif. Intell. Xin Wang, Jielong Yang, Yixing Gao
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	J	`jnl`	Dynamic self-training with less uncertainty for graph imbalance learning. Expert Syst. Appl. Xin Juan, Meixin Peng, 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`	FaithCoT-Bench: Benchmarking Instance-Level Faithfulness of Chain-of-Thought Reasoning. CoRR Xu Shen, Song Wang, Zhen Tan, Laura Yao, Xinyu Zhao, Kaidi Xu, Xin Wang, Tianlong Chen
2025	J	`jnl`	Graph Defense Diffusion Model. CoRR Xin He, Wenqi Fan, Yili Wang, Chengyi Liu, Rui Miao, Xin Juan, Xin Wang
2025	—	`conf`	Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification. DASFAA (6) Ruxue Shi, Hengrui Gu, Xu Shen, Xin Wang
2025	J	`jnl`	Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification. CoRR Ruxue Shi, Hengrui Gu, Xu Shen, 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	B	`conf`	Hypergraph Structure Recommendation Model with Counterfactual Learning. IEEE Big Data Xinglin Liu, Yutong Zhang, Youhan Qi, Xin Wang, Ying Wang
2025	A*	`conf`	Latte: Transfering LLMs' Latent-level Knowledge for Few-shot Tabular Learning. IJCAI Ruxue Shi, Hengrui Gu, Hangting Ye, Yiwei Dai, Xu Shen, Xin Wang
2025	J	`jnl`	Latte: Transfering LLMs' Latent-level Knowledge for Few-shot Tabular Learning. CoRR Ruxue Shi, Hengrui Gu, Hangting Ye, 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`	Adaptive Self-supervised Learning for Social Recommendations. CoRR Xin He, Shanru Lin, Wenqi Fan, Mingchen Sun, Ying Wang, 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	—	`conf`	Data-Centric Explainable Debiasing for Improving Fairness in Pre-trained Language Models. ACL (Findings) Yingji Li, Mengnan Du, Rui Song, Xin Wang, Ying 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	J	`jnl`	Exploring Multiple Hypergraphs for Heterogeneous Graph Neural Networks. Expert Syst. Appl. Ying Wang, Yingji Li, Yue Wu, Xin Wang
2024	J	`jnl`	GPL-GNN: Graph prompt learning for graph neural network. Knowl. Based Syst. Zihao Chen, Ying Wang, Fuyuan Ma, Hao Yuan, Xin Wang
2024	—	`conf`	LGCRS: LLM-Guided Representation-Enhancing for Conversational Recommender System. ICANN (9) Ruobing Wang, Xin He, Hengrui Gu, Xin Wang
2024	A*	`conf`	Mitigate Extrinsic Social Bias in Pre-trained Language Models via Continuous Prompts Adjustment. EMNLP Yiwei Dai, Hengrui Gu, Ying Wang, Xin Wang
2024	J	`jnl`	Mitigating social biases of pre-trained language models via contrastive self-debiasing with double data augmentation. Artif. Intell. Yingji Li, Mengnan Du, Rui Song, Xin Wang, Mingchen Sun, Ying Wang
2024	A*	`conf`	Molecular Data Programming: Towards Molecule Pseudo-labeling with Systematic Weak Supervision. CVPR Xin Juan, Kaixiong Zhou, Ninghao Liu, Tianlong Chen, Xin Wang
2024	J	`jnl`	Multi-strategy adaptive data augmentation for Graph Neural Networks. Expert Syst. Appl. Xin Juan, Xiao Liang, Haotian Xue, 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	—	`conf`	PokeMQA: Programmable knowledge editing for Multi-hop Question Answering. ACL (1) Hengrui Gu, Kaixiong Zhou, Xiaotian Han, Ninghao Liu, 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`	Towards Domain-Aware Stable Meta Learning for Out-of-Distribution Generalization. ACM Trans. Knowl. Discov. Data Mingchen Sun, Yingji Li, 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
2023	J	`jnl`	A Survey of Graph Prompting Methods: Techniques, Applications, and Challenges. CoRR Xuansheng Wu, Kaixiong Zhou, Mingchen Sun, Xin Wang, Ninghao Liu
2023	J	`jnl`	A Survey on Fairness in Large Language Models. CoRR Yingji Li, Mengnan Du, Rui Song, Xin Wang, Ying Wang
2023	A*	`conf`	Clothes Grasping and Unfolding Based on RGB-D Semantic Segmentation. ICRA Xingyu Zhu, Xin Wang, Jonathan Freer, Hyung Jin Chang, Yixing Gao
2023	J	`jnl`	Clothes Grasping and Unfolding Based on RGB-D Semantic Segmentation. CoRR Xingyu Zhu, Xin Wang, Jonathan Freer, Hyung Jin Chang, Yixing Gao
2023	J	`jnl`	Generating real-world hypergraphs via deep generative models. Inf. Sci. Xianglin Zuo, Wenqi Chen, Song Xianduo, Xin Wang, Ying Wang
2023	J	`jnl`	INS-GNN: Improving graph imbalance learning with self-supervision. Inf. Sci. Xin Juan, Fengfeng Zhou, Wentao Wang, Wei Jin, Jiliang Tang, Xin Wang
2023	—	`conf`	LAGCL: Towards Stable and Automated Graph Contrastive Learning. ADMA (3) Hengrui Gu, Ying Wang, Xin Wang
2023	J	`jnl`	PokeMQA: Programmable knowledge editing for Multi-hop Question Answering. CoRR Hengrui Gu, Kaixiong Zhou, Xiaotian Han, Ninghao Liu, Ruobing Wang, Xin Wang
2023	—	`conf`	Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases. ACL (1) Yingji Li, Mengnan Du, Xin Wang, Ying Wang
2023	J	`jnl`	Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases. CoRR Yingji Li, Mengnan Du, Xin Wang, Ying Wang
2023	J	`jnl`	Structural-aware motif-based prompt tuning for graph clustering. Inf. Sci. Mingchen Sun, Mengduo Yang, Yingji Li, Dongmei Mu, Xin Wang, Ying 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	—	`conf`	Adversarial Training on Weights for Graph Neural Networks. ACAI Haotian Xue, Xin Wang, Ying Wang
2022	—	`conf`	AutoAUG : Automatic Data Augmentation for Graph Neural Networks. ACAI Xiao Liang, Xin Wang, Haotian Xue, Yintao Yang, Xin Juan, Ying 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	—	`conf`	Cross-Domain Representation Learning for Clothes Unfolding in Robot-Assisted Dressing. ECCV Workshops (6) Jinge Qie, Yixing Gao, Runyang Feng, Xin Wang, Jielong Yang, Esha Dasgupta, Hyung Jin Chang, Yi Chang
2022	A*	`conf`	GPPT: Graph Pre-training and Prompt Tuning to Generalize Graph Neural Networks. KDD Mingchen Sun, Kaixiong Zhou, Xin He, Ying Wang, Xin Wang
2022	J	`jnl`	Hierarchical recurrent neural networks for graph generation. Inf. Sci. Song Xianduo, Xin Wang, Yuyuan Song, Xianglin Zuo, Ying Wang
2022	J	`jnl`	Negative samples selecting strategy for graph contrastive learning. Inf. Sci. Rui Miao, Yintao Yang, Yao Ma, Xin Juan, Haotian Xue, Jiliang Tang, Ying Wang, Xin Wang
2022	A*	`conf`	Orthogonal Graph Neural Networks. AAAI Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang
2022	—	`conf`	Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning. AACL/IJCNLP (1) Zhepei Wei, Yue Wang, Jinnan Li, Zhining Liu, Erxin Yu, Yuan Tian, Xin Wang, Yi Chang
2021	J	`jnl`	CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks. CoRR Haotian Xue, Kaixiong Zhou, Tianlong Chen, Kai Guo, Xia Hu, Yi Chang, Xin Wang
2021	—	`conf`	Exploring Self-training for Imbalanced Node Classification. ICONIP (5) Xin Juan, Meixin Peng, Xin Wang
2021	J	`jnl`	Exploring graph capsual network for graph classification. Inf. Sci. Ying Wang, Hongji Wang, Hui Jin, Xinrui Huang, Xin Wang
2021	J	`jnl`	Orthogonal Graph Neural Networks. CoRR Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang
2021	J	`jnl`	TAERT: Triple-Attentional Explainable Recommendation with Temporal Convolutional Network. Inf. Sci. Siyuan Guo, Ying Wang, Hao Yuan, Zeyu Huang, Jianwei Chen, Xin Wang
2020	A*	`conf`	Attention-Guide Walk Model in Heterogeneous Information Network for Multi-Style Recommendation Explanation. AAAI Xin Wang, Ying Wang, Yunzhi Ling
2020	J	`jnl`	Exploring Common and Label-Specific Features for Multi-Label Learning With Local Label Correlations. IEEE Access Yunzhi Ling, Ying Wang, Xin Wang, Yunhao Ling
2020	A*	`conf`	Traffic Flow Prediction via Spatial Temporal Graph Neural Network. WWW Xiaoyang Wang, Yao Ma, Yiqi Wang, Wei Jin, Xin Wang, Jiliang Tang, Caiyan Jia, Jian Yu
2019	—	`conf`	Explanation Chains Model Based on the Fine-Grained Data. NLPCC (2) Fuyuan Ma, Wenqi Chen, Min-Hao Xiao, Xin Wang, Ying Wang
2017	J	`jnl`	Building trust networks in the absence of trust relations. Frontiers Inf. Technol. Electron. Eng. Xin Wang, Ying Wang, Jianhua Guo
2016	J	`jnl`	Exploring the Combination of Dempster-Shafer Theory and Neural Network for Predicting Trust and Distrust. Comput. Intell. Neurosci. Xin Wang, Ying Wang, Hongbin Sun
2015	A*	`conf`	Exploring Social Context for Topic Identification in Short and Noisy Texts. AAAI Xin Wang, Ying Wang, Wanli Zuo, Guoyong Cai
2015	A*	`conf`	Modeling Status Theory in Trust Prediction. AAAI Ying Wang, Xin Wang, Jiliang Tang, Wanli Zuo, Guoyong Cai
2015	J	`jnl`	Predicting Trust Relationships in Social Networks Based on WKNN. J. Softw. Qiuyue Zhao, Wanli Zuo, Zhongsheng Tian, Xin Wang, Ying Wang
2015	J	`jnl`	Research on Trust Prediction from a Sociological Perspective. J. Comput. Sci. Technol. Ying Wang, Xin Wang, Wanli Zuo
2012	J	`jnl`	Research on Web Query Translation based on Ontology. J. Softw. Xin Wang, Ying Wang
2011	J	`jnl`	Research on discovering deep web entries. Comput. Sci. Inf. Syst. Ying Wang, Huilai Li, Wanli Zuo, Fengling He, Xin Wang, Kerui Chen