Hongxu Chen - RankMe

81 papers A* 18A 9B 1Journal 47Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Data Watermarking for Sequential Recommender Systems. KDD (2) Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin
2025	J	`jnl`	Graph and Sequential Neural Networks in Session-based Recommendation: A Survey. ACM Comput. Surv. Zihao Li, Chao Yang, Yakun Chen, Xianzhi Wang, Hongxu Chen, Guandong Xu, Lina Yao, Michael Sheng
2025	A*	`conf`	IterIS: Iterative Inference-Solving Alignment for LoRA Merging. CVPR Hongxu Chen, Zhen Wang, Runshi Li, Bowei Zhu, Long Chen
2025	J	`jnl`	On Mitigating Data Sparsity in Conversational Recommender Systems. CoRR Sixiao Zhang, Mingrui Liu, Cheng Long, Wei Yuan, Hongxu Chen, Xiangyu Zhao, Hongzhi Yin
2025	J	`jnl`	Zero-Residual Concept Erasure via Progressive Alignment in Text-to-Image Model. CoRR Hongxu Chen, Zhen Wang, Taoran Mei, Lin Li, Bowei Zhu, Runshi Li, Long Chen
2024	J	`jnl`	Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation. CoRR Yicong Li, Xiangguo Sun, Hongxu Chen, Sixiao Zhang, Yu Yang, Guandong Xu
2024	J	`jnl`	Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation. IEEE Trans. Knowl. Data Eng. Yicong Li, Xiangguo Sun, Hongxu Chen, Sixiao Zhang, Yu Yang, Guandong Xu
2024	J	`jnl`	Data Watermarking for Sequential Recommender Systems. CoRR Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin
2024	A	`conf`	Defense Against Model Extraction Attacks on Recommender Systems. WSDM Sixiao Zhang, Hongzhi Yin, Hongxu Chen, Cheng Long
2024	J	`jnl`	Dynamic Recommendation Based on Graph Diffusion and Ebbinghaus Curve. IEEE Trans. Comput. Soc. Syst. Zhihong Cui, Xiangguo Sun, Hongxu Chen, Li Pan, Lizhen Cui, Shijun Liu, Guandong Xu
2024	J	`jnl`	Graph and Sequential Neural Networks in Session-based Recommendation: A Survey. CoRR Zihao Li, Chao Yang, Yakun Chen, Xianzhi Wang, Hongxu Chen, Guandong Xu, Lina Yao, Quan Z. Sheng
2024	J	`jnl`	IterIS: Iterative Inference-Solving Alignment for LoRA Merging. CoRR Hongxu Chen, Runshi Li, Bowei Zhu, Zhen Wang, Long Chen
2024	J	`jnl`	Multi-Level Graph Knowledge Contrastive Learning. IEEE Trans. Knowl. Data Eng. Haoran Yang, Yuhao Wang, Xiangyu Zhao, Hongxu Chen, Hongzhi Yin, Qing Li, Guandong Xu
2024	A	`conf`	Watermarking Recommender Systems. CIKM Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin
2024	J	`jnl`	Watermarking Recommender Systems. CoRR Sixiao Zhang, Cheng Long, Wei Yuan, Hongxu Chen, Hongzhi Yin
2023	A*	`conf`	An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations. NeurIPS Haoran Yang, Xiangyu Zhao, Yicong Li, Hongxu Chen, Guandong Xu
2023	J	`jnl`	Defense Against Model Extraction Attacks on Recommender Systems. CoRR Sixiao Zhang, Hongzhi Yin, Hongxu Chen, Cheng Long
2023	A*	`conf`	Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning. WWW Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Xiangyu Zhao, Guandong Xu
2023	J	`jnl`	Graph-Aware Deep Fusion Networks for Online Spam Review Detection. IEEE Trans. Comput. Soc. Syst. Li He, Guandong Xu, Shoaib Jameel, Xianzhi Wang, Hongxu Chen
2023	J	`jnl`	Hyperbolic Neural Collaborative Recommender. IEEE Trans. Knowl. Data Eng. Anchen Li, Bo Yang, Huan Huo, Hongxu Chen, Guandong Xu, Zhen Wang
2023	J	`jnl`	Interpretable Signed Link Prediction With Signed Infomax Hyperbolic Graph. IEEE Trans. Knowl. Data Eng. Yadan Luo, Zi Huang, Hongxu Chen, Yang Yang, Hongzhi Yin, Mahsa Baktashmotlagh
2023	J	`jnl`	Mitigating the performance sacrifice in DP-satisfied federated settings through graph contrastive learning. Inf. Sci. Haoran Yang, Xiangyu Zhao, Muyang Li, Hongxu Chen, Guandong Xu
2023	J	`jnl`	Reinforcement Learning Based Path Exploration for Sequential Explainable Recommendation. IEEE Trans. Knowl. Data Eng. Yicong Li, Hongxu Chen, Yile Li, Lin Li, Philip S. Yu, Guandong Xu
2023	J	`jnl`	Structure Learning Via Meta-Hyperedge for Dynamic Rumor Detection. IEEE Trans. Knowl. Data Eng. Xiangguo Sun, Hongzhi Yin, Bo Liu, Qing Meng, Jiuxin Cao, Alexander Zhou, Hongxu Chen
2022	A	`conf`	DA-Net: Distributed Attention Network for Temporal Knowledge Graph Reasoning. CIKM Kangzheng Liu, Feng Zhao, Hongxu Chen, Yicong Li, Guandong Xu, Hai Jin
2022	B	`conf`	DialMed: A Dataset for Dialogue-based Medication Recommendation. COLING Zhenfeng He, Yuqiang Han, Zhenqiu Ouyang, Wei Gao, Hongxu Chen, Guandong Xu, Jian Wu
2022	J	`jnl`	DialMed: A Dataset for Dialogue-based Medication Recommendation. CoRR Zhenfeng He, Yuqiang Han, Zhenqiu Ouyang, Wei Gao, Hongxu Chen, Guandong Xu, Jian Wu
2022	A*	`conf`	Dual Space Graph Contrastive Learning. WWW Haoran Yang, Hongxu Chen, Shirui Pan, Lin Li, Philip S. Yu, Guandong Xu
2022	J	`jnl`	Dual Space Graph Contrastive Learning. CoRR Haoran Yang, Hongxu Chen, Shirui Pan, Lin Li, Philip S. Yu, Guandong Xu
2022	J	`jnl`	Federated Graph Contrastive Learning. CoRR Haoran Yang, Xiangyu Zhao, Muyang Li, Hongxu Chen, Guandong Xu
2022	J	`jnl`	Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning. CoRR Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Guandong Xu
2022	A	`conf`	Geometric Inductive Matrix Completion: A Hyperbolic Approach with Unified Message Passing. WSDM Chengkun Zhang, Hongxu Chen, Sixiao Zhang, Guandong Xu, Junbin Gao
2022	J	`jnl`	Graph Masked Autoencoder. CoRR Hongxu Chen, Sixiao Zhang, Guandong Xu
2022	A*	`conf`	MGPolicy: Meta Graph Enhanced Off-policy Learning for Recommendations. SIGIR Xiangmeng Wang, Qian Li, Dianer Yu, Zhichao Wang, Hongxu Chen, Guandong Xu
2022	J	`jnl`	Online Spam Review Detection: A Survey of Literature. Hum. Centric Intell. Syst. Li He, Xianzhi Wang, Hongxu Chen, Guandong Xu
2022	J	`jnl`	Reinforced KGs reasoning for explainable sequential recommendation. World Wide Web Zhihong Cui, Hongxu Chen, Lizhen Cui, Shijun Liu, Xueyan Liu, Guandong Xu, Hongzhi Yin
2022	J	`jnl`	Social Boosted Recommendation With Folded Bipartite Network Embedding. IEEE Trans. Knowl. Data Eng. Hongxu Chen, Hongzhi Yin, Tong Chen, Weiqing Wang, Xue Li, Xia Hu
2022	A*	`conf`	Towards Unsupervised Deep Graph Structure Learning. WWW Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan
2022	J	`jnl`	Towards Unsupervised Deep Graph Structure Learning. CoRR Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan
2022	A*	`conf`	Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation. WWW Sixiao Zhang, Hongxu Chen, Xiangguo Sun, Yicong Li, Guandong Xu
2022	J	`jnl`	Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation. CoRR Sixiao Zhang, Hongxu Chen, Xiangguo Sun, Yicong Li, Guandong Xu
2021	J	`jnl`	A Scalable Redefined Stochastic Blockmodel. ACM Trans. Knowl. Discov. Data Xueyan Liu, Bo Yang, Hechang Chen, Katarzyna Musial, Hongxu Chen, Yang Li, Wanli Zuo
2021	J	`jnl`	A block-based generative model for attributed network embedding. World Wide Web Xueyan Liu, Bo Yang, Wenzhuo Song, Katarzyna Musial, Wanli Zuo, Hongxu Chen, Hongzhi Yin
2021	A	`conf`	Click-Through Rate Prediction with Multi-Modal Hypergraphs. CIKM Li He, Hongxu Chen, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu
2021	J	`jnl`	Click-Through Rate Prediction with Multi-Modal Hypergraphs. CoRR Li He, Hongxu Chen, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu
2021	J	`jnl`	Disease Prediction via Graph Neural Networks. IEEE J. Biomed. Health Informatics Zhenchao Sun, Hongzhi Yin, Hongxu Chen, Tong Chen, Lizhen Cui, Fan Yang
2021	J	`jnl`	Explaining similarity for SPARQL queries. World Wide Web Meng Wang, Kefei Chen, Gang Xiao, Xinyue Zhang, Hongxu Chen, Sen Wang
2021	J	`jnl`	FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection. CoRR Guanhua Ye, Hongzhi Yin, Tong Chen, Hongxu Chen, Lizhen Cui, Xiangliang Zhang
2021	J	`jnl`	FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection. IEEE J. Biomed. Health Informatics Guanhua Ye, Hongzhi Yin, Tong Chen, Hongxu Chen, Lizhen Cui, Xiangliang Zhang
2021	—	`conf`	Graph Data Mining in Recommender Systems. WISE (2) Hongxu Chen, Yicong Li, Haoran Yang
2021	A	`conf`	Heterogeneous Hypergraph Embedding for Graph Classification. WSDM Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Jiuxin Cao, Yingxia Shao, Nguyen Quoc Viet Hung
2021	A*	`conf`	Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation. ICDM Haoran Yang, Hongxu Chen, Lin Li, Philip S. Yu, Guandong Xu
2021	J	`jnl`	Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation. CoRR Haoran Yang, Hongxu Chen, Lin Li, Philip S. Yu, Guandong Xu
2021	A	`conf`	Hyperbolic Hypergraphs for Sequential Recommendation. CIKM Yicong Li, Hongxu Chen, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Philip S. Yu, Guandong Xu
2021	J	`jnl`	Hyperbolic Hypergraphs for Sequential Recommendation. CoRR Yicong Li, Hongxu Chen, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Philip S. Yu, Guandong Xu
2021	J	`jnl`	Hyperbolic Neural Collaborative Recommender. CoRR Anchen Li, Bo Yang, Hongxu Chen, Guandong Xu
2021	J	`jnl`	Hyperbolic node embedding for signed networks. Neurocomputing Wenzhuo Song, Hongxu Chen, Xueyan Liu, Hongzhe Jiang, Shengsheng Wang
2021	A*	`conf`	Multi-level Hyperedge Distillation for Social Linking Prediction on Sparsely Observed Networks. WWW Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Qing Meng, Wang Han, Jiuxin Cao
2021	J	`jnl`	Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation. CoRR Yicong Li, Hongxu Chen, Yile Li, Lin Li, Philip S. Yu, Guandong Xu
2021	A	`conf`	TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories. CIKM Li He, Dingxian Wang, Hanzhang Wang, Hongxu Chen, Guandong Xu
2021	J	`jnl`	TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories. CoRR Li He, Dingxian Wang, Hanzhang Wang, Hongxu Chen, Guandong Xu
2021	A	`conf`	Temporal Meta-path Guided Explainable Recommendation. WSDM Hongxu Chen, Yicong Li, Xiangguo Sun, Guandong Xu, Hongzhi Yin
2021	J	`jnl`	Temporal Meta-path Guided Explainable Recommendation. CoRR Hongxu Chen, Yicong Li, Xiangguo Sun, Guandong Xu, Hongzhi Yin
2021	A*	`conf`	Where are we in embedding spaces? KDD Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu
2021	J	`jnl`	Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems. CoRR Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu
2020	—	`—`	Graph representation learning with attribute information Hongxu Chen
2020	J	`jnl`	Heterogeneous Hypergraph Embedding for Graph Classification. CoRR Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Jiuxin Cao, Yingxia Shao, Nguyen Quoc Viet Hung
2020	J	`jnl`	Interpretable Signed Link Prediction with Signed Infomax Hyperbolic Graph. CoRR Yadan Luo, Zi Huang, Hongxu Chen, Yang Yang, Mahsa Baktashmotlagh
2020	A*	`conf`	Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. KDD Hongxu Chen, Hongzhi Yin, Xiangguo Sun, Tong Chen, Bogdan Gabrys, Katarzyna Musial
2020	J	`jnl`	Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction. CoRR Hongxu Chen, Hongzhi Yin, Xiangguo Sun, Tong Chen, Bogdan Gabrys, Katarzyna Musial
2020	J	`jnl`	Online sales prediction via trend alignment-based multitask recurrent neural networks. Knowl. Inf. Syst. Tong Chen, Hongzhi Yin, Hongxu Chen, Hao Wang, Xiaofang Zhou, Xue Li
2019	A*	`conf`	AIR: Attentional Intention-Aware Recommender Systems. ICDE Tong Chen, Hongzhi Yin, Hongxu Chen, Rui Yan, Quoc Viet Hung Nguyen, Xue Li
2019	A*	`conf`	Exploiting Centrality Information with Graph Convolutions for Network Representation Learning. ICDE Hongxu Chen, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wen-Chih Peng, Xue Li
2019	A*	`conf`	Inferring Substitutable Products with Deep Network Embedding. IJCAI Shijie Zhang, Hongzhi Yin, Qinyong Wang, Tong Chen, Hongxu Chen, Quoc Viet Hung Nguyen
2019	A*	`conf`	Origin-Destination Matrix Prediction via Graph Convolution: a New Perspective of Passenger Demand Modeling. KDD Yuandong Wang, Hongzhi Yin, Hongxu Chen, Tianyu Wo, Jie Xu, Kai Zheng
2019	—	`conf`	Semi-supervised Clustering with Deep Metric Learning. DASFAA (3) Xiaocui Li, Hongzhi Yin, Ke Zhou, Hongxu Chen, Shazia Sadiq, Xiaofang Zhou
2018	A*	`conf`	PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction. KDD Hongxu Chen, Hongzhi Yin, Weiqing Wang, Hao Wang, Quoc Viet Hung Nguyen, Xue Li
2018	—	`conf`	Rumor Detection via Recurrent Neural Networks: A Case Study on Adaptivity with Varied Data Compositions. PAKDD (Workshops) Tong Chen, Hongxu Chen, Xue Li
2018	A*	`conf`	TADA: Trend Alignment with Dual-Attention Multi-task Recurrent Neural Networks for Sales Prediction. ICDM Tong Chen, Hongzhi Yin, Hongxu Chen, Lin Wu, Hao Wang, Xiaofang Zhou, Xue Li
2017	—	`conf`	People Opinion Topic Model: Opinion based User Clustering in Social Networks. WWW (Companion Volume) Hongxu Chen, Hongzhi Yin, Xue Li, Meng Wang, Weitong Chen, Tong Chen
2017	A*	`conf`	SPTF: A Scalable Probabilistic Tensor Factorization Model for Semantic-Aware Behavior Prediction. ICDM Hongzhi Yin, Hongxu Chen, Xiaoshuai Sun, Hao Wang, Yang Wang, Quoc Viet Hung Nguyen