Xin Zhou - RankMe

84 papers A* 10A 5Journal 52Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation. ACM Trans. Inf. Syst. Honglei Zhang, Haoxuan Li, Jundong Chen, Sen Cui, Kunda Yan, Abudukelimu Wuerkaixi, Xin Zhou, Zhiqi Shen, Yidong Li
2026	J	`jnl`	SP^2DPO: An LLM-assisted Semantic Per-Pair DPO Generalization. CoRR Chaoyue He, Xin Zhou, Di Wang, Hong Xu, Wei Liu, Chunyan Miao
2026	J	`jnl`	SSKG Hub: An Expert-Guided Platform for LLM-Empowered Sustainability Standards Knowledge Graphs. CoRR Chaoyue He, Xin Zhou, Xinjia Yu, Lei Zhang, Yan Zhang, Yi Wu, Lei Xiao, Liangyue Li, Di Wang, Hong Xu, Xiaoqiao Wang, Wei Liu, Chunyan Miao
2026	A*	`conf`	TransFR: Transferable Federated Recommendation with Adapter Tuning on Pre-trained Language Models. AAAI Honglei Zhang, Zhiwei Li, Haoxuan Li, Xin Zhou, Jie Zhang, Yidong Li
2025	J	`jnl`	Benchmarking Multimodal Understanding and Complex Reasoning for ESG Tasks. CoRR Lei Zhang, Xin Zhou, Chaoyue He, Di Wang, Yi Wu, Hong Xu, Wei Liu, Chunyan Miao
2025	J	`jnl`	CM CoRR Xin Zhou, Yongjie Wang, Zhiqi Shen
2025	J	`jnl`	Communication-efficient federated knowledge graph embedding with entity-wise top-K sparsification. Knowl. Based Syst. Xiaoxiong Zhang, Zhiwei Zeng, Xin Zhou, Dusit Niyato, Zhiqi Shen
2025	J	`jnl`	EGRA:Toward Enhanced Behavior Graphs and Representation Alignment for Multimodal Recommendation. CoRR Xiaoxiong Zhang, Xin Zhou, Zhiwei Zeng, Yongjie Wang, Dusit Niyato, Zhiqi Shen
2025	A*	`conf`	ESGenius: Benchmarking LLMs on Environmental, Social, and Governance (ESG) and Sustainability Knowledge. EMNLP Chaoyue He, Xin Zhou, Yi Wu, Xinjia Yu, Yan Zhang, Lei Zhang, Di Wang, Shengfei Lyu, Hong Xu, Xiaoqiao Wang, Wei Liu, Chunyan Miao
2025	J	`jnl`	ESGenius: Benchmarking LLMs on Environmental, Social, and Governance (ESG) and Sustainability Knowledge. CoRR Chaoyue He, Xin Zhou, Yi Wu, Xinjia Yu, Yan Zhang, Lei Zhang, Di Wang, Shengfei Lyu, Hong Xu, Xiaoqiao Wang, Wei Liu, Chunyan Miao
2025	J	`jnl`	Enhancing sequential recommendation with semantic and structural contrastive learning. Int. J. Web Inf. Syst. Zhe Qu, Yixin Zhang, Taihua Chen, Xin Zhou, Ziheng Cheng, Yonghui Xu
2025	—	`conf`	GiFT: Gibbs Fine-Tuning for Code Generation. ACL (1) Haochen Li, Wanjin Feng, Xin Zhou, Zhiqi Shen
2025	J	`jnl`	GiFT: Gibbs Fine-Tuning for Code Generation. CoRR Haochen Li, Wanjin Feng, Xin Zhou, Zhiqi Shen
2025	J	`jnl`	Learning Item Representations Directly from Multimodal Features for Effective Recommendation. CoRR Xin Zhou, Xiaoxiong Zhang, Dusit Niyato, Zhiqi Shen
2025	A*	`conf`	MMESGBench: Pioneering Multimodal Understanding and Complex Reasoning Benchmark for ESG Tasks. ACM Multimedia Lei Zhang, Xin Zhou, Chaoyue He, Di Wang, Yi Wu, Hong Xu, Wei Liu, Chunyan Miao
2025	J	`jnl`	Multi-Modal Disease Prediction With Hierarchical Self-Supervised Learning. IEEE J. Biomed. Health Informatics Zhe Qu, Taihua Chen, Xin Zhou, Fanglin Zhu, Wei Guo, Yonghui Xu, Yixin Zhang, Lizhen Cui
2025	J	`jnl`	Multimodal Pre-training for Sequential Recommendation via Contrastive Learning. Trans. Recomm. Syst. Lingzi Zhang, Xin Zhou, Zhiwei Zeng, Zhiqi Shen
2025	J	`jnl`	Personalized federated knowledge graph embedding with client-wise relation graph. Appl. Intell. Xiaoxiong Zhang, Zhiwei Zeng, Xin Zhou, Dusit Niyato, Zhiqi Shen
2025	J	`jnl`	PrivFR: Privacy-Enhanced Federated Recommendation With Shared Hash Embedding. IEEE Trans. Neural Networks Learn. Syst. Honglei Zhang, Xin Zhou, Zhiqi Shen, Yidong Li
2025	—	`conf`	Report Friendly: An Interface Design for an LLM-Empowered ESG Report Generation System. HCI (56) Xinjia Yu, Xin Zhou, Shengfei Lyu, Xiaoqiao Wang, Huanhuan Chen, Chunyan Miao
2025	J	`jnl`	Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? CoRR Yongjie Wang, Yibo Wang, Xin Zhou, Zhiqi Shen
2025	J	`jnl`	Semantic Item Graph Enhancement for Multimodal Recommendation. CoRR Xiaoxiong Zhang, Xin Zhou, Zhiwei Zeng, Dusit Niyato, Zhiqi Shen
2025	J	`jnl`	The crowd in MOOCs: a study of learning patterns at scale. Interact. Learn. Environ. Xin Zhou, Aixin Sun, Jie Zhang, Donghui Lin
2024	J	`jnl`	Advancing Sustainability via Recommender Systems: A Survey. CoRR Xin Zhou, Lei Zhang, Honglei Zhang, Yixin Zhang, Xiaoxiong Zhang, Jie Zhang, Zhiqi Shen
2024	A*	`conf`	Are ID Embeddings Necessary? Whitening Pre-trained Text Embeddings for Effective Sequential Recommendation. ICDE Lingzi Zhang, Xin Zhou, Zhiwei Zeng, Zhiqi Shen
2024	J	`jnl`	Are ID Embeddings Necessary? Whitening Pre-trained Text Embeddings for Effective Sequential Recommendation. CoRR Lingzi Zhang, Xin Zhou, Zhiwei Zeng, Zhiqi Shen
2024	J	`jnl`	Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation. CoRR Honglei Zhang, Haoxuan Li, Jundong Chen, Sen Cui, Kunda Yan, Abudukelimu Wuerkaixi, Xin Zhou, Zhiqi Shen, Yidong Li
2024	J	`jnl`	Communication-Efficient Federated Knowledge Graph Embedding with Entity-Wise Top-K Sparsification. CoRR Xiaoxiong Zhang, Zhiwei Zeng, Xin Zhou, Dusit Niyato, Zhiqi Shen
2024	J	`jnl`	Disentangled Graph Variational Auto-Encoder for Multimodal Recommendation With Interpretability. IEEE Trans. Multim. Xin Zhou, Chunyan Miao
2024	J	`jnl`	Disentangled Graph Variational Auto-Encoder for Multimodal Recommendation with Interpretability. CoRR Xin Zhou, Chunyan Miao
2024	A*	`conf`	Dual-View Whitening on Pre-trained Text Embeddings for Sequential Recommendation. AAAI Lingzi Zhang, Xin Zhou, Zhiwei Zeng, Zhiqi Shen
2024	J	`jnl`	Estimating package arrival time via heterogeneous hypergraph neural network. Expert Syst. Appl. Lei Zhang, Xingyu Wu, Yong Liu, Xin Zhou, Yiming Cao, Yonghui Xu, Lizhen Cui, Chunyan Miao
2024	—	`conf`	GreenRec: A Large-Scale Dataset for Green Food Recommendation. WWW (Companion Volume) Lingzi Zhang, Yinan Zhang, Xin Zhou, Zhiqi Shen
2024	J	`jnl`	Low-Dimensional Federated Knowledge Graph Embedding via Knowledge Distillation. CoRR Xiaoxiong Zhang, Zhiwei Zeng, Xin Zhou, Zhiqi Shen
2024	—	`conf`	Multi-modal Food Recommendation Using Clustering and Self-supervised Learning. PRICAI (1) Yixin Zhang, Xin Zhou, Qianwen Meng, Fanglin Zhu, Yonghui Xu, Zhiqi Shen, Lizhen Cui
2024	J	`jnl`	Multi-modal Food Recommendation using Clustering and Self-supervised Learning. CoRR Yixin Zhang, Xin Zhou, Qianwen Meng, Fanglin Zhu, Yonghui Xu, Zhiqi Shen, Lizhen Cui
2024	A	`conf`	Multi-modal Food Recommendation with Health-aware Knowledge Distillation. CIKM Yixin Zhang, Xin Zhou, Fanglin Zhu, Ning Liu, Wei Guo, Yonghui Xu, Zhiqi Shen, Lizhen Cui
2024	—	`conf`	Multimodal Pretraining and Generation for Recommendation: A Tutorial. WWW (Companion Volume) Jieming Zhu, Xin Zhou, Chuhan Wu, Rui Zhang, Zhenhua Dong
2024	J	`jnl`	Personalized Federated Knowledge Graph Embedding with Client-Wise Relation Graph. CoRR Xiaoxiong Zhang, Zhiwei Zeng, Xin Zhou, Dusit Niyato, Zhiqi Shen
2024	—	`conf`	Rewriting the Code: A Simple Method for Large Language Model Augmented Code Search. ACL (1) Haochen Li, Xin Zhou, Zhiqi Shen
2024	J	`jnl`	Rewriting the Code: A Simple Method for Large Language Model Augmented Code Search. CoRR Haochen Li, Xin Zhou, Zhiqi Shen
2024	J	`jnl`	The Crowd in MOOCs: A Study of Learning Patterns at Scale. CoRR Xin Zhou, Aixin Sun, Jie Zhang, Donghui Lin
2023	J	`jnl`	A Comprehensive Survey on Multimodal Recommender Systems: Taxonomy, Evaluation, and Future Directions. CoRR Hongyu Zhou, Xin Zhou, Zhiwei Zeng, Lingzi Zhang, Zhiqi Shen
2023	J	`jnl`	A Semi-Centralized Trust Management Model Based on Blockchain for Data Exchange in IoT System. IEEE Trans. Serv. Comput. Yuan Liu, Chuang Zhang, Yu Yan, Xin Zhou, Zhihong Tian, Jie Zhang
2023	A*	`conf`	A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation. ACM Multimedia Xin Zhou, Zhiqi Shen
2023	A*	`conf`	Bootstrap Latent Representations for Multi-modal Recommendation. WWW Xin Zhou, Hongyu Zhou, Yong Liu, Zhiwei Zeng, Chunyan Miao, Pengwei Wang, Yuan You, Feijun Jiang
2023	A	`conf`	Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation. CIKM Jiazheng Jing, Yinan Zhang, Xin Zhou, Zhiqi Shen
2023	J	`jnl`	Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation. CoRR Jiazheng Jing, Yinan Zhang, Xin Zhou, Zhiqi Shen
2023	A*	`conf`	Delivery Time Prediction Using Large-Scale Graph Structure Learning Based on Quantile Regression. ICDE Lei Zhang, Xin Zhou, Zhiwei Zeng, Yiming Cao, Yonghui Xu, Mingliang Wang, Xingyu Wu, Yong Liu, Lizhen Cui, Zhiqi Shen
2023	—	`conf`	Dual Graph Multitask Framework for Imbalanced Delivery Time Estimation. DASFAA (4) Lei Zhang, Mingliang Wang, Xin Zhou, Xingyu Wu, Yiming Cao, Yonghui Xu, Lizhen Cui, Zhiqi Shen
2023	J	`jnl`	Dual Graph Multitask Framework for Imbalanced Delivery Time Estimation. CoRR Lei Zhang, Mingliang Wang, Xin Zhou, Xingyu Wu, Yiming Cao, Yonghui Xu, Lizhen Cui, Zhiqi Shen
2023	A	`conf`	Enhancing Dyadic Relations with Homogeneous Graphs for Multimodal Recommendation. ECAI Hongyu Zhou, Xin Zhou, Lingzi Zhang, Zhiqi Shen
2023	J	`jnl`	Enhancing Dyadic Relations with Homogeneous Graphs for Multimodal Recommendation. CoRR Hongyu Zhou, Xin Zhou, Zhiqi Shen
2023	A	`conf`	Inductive Graph Transformer for Delivery Time Estimation. WSDM Xin Zhou, Jinglong Wang, Yong Liu, Xingyu Wu, Zhiqi Shen, Cyril Leung
2023	A*	`conf`	Layer-refined Graph Convolutional Networks for Recommendation. ICDE Xin Zhou, Donghui Lin, Yong Liu, Chunyan Miao
2023	J	`jnl`	M2GCN: multi-modal graph convolutional network for modeling polypharmacy side effects. Appl. Intell. Qidong Liu, Enguang Yao, Chaoyue Liu, Xin Zhou, Yafei Li, Mingliang Xu
2023	—	`conf`	MMRec: Simplifying Multimodal Recommendation. MMAsia (Workshops) Xin Zhou
2023	J	`jnl`	MMRec: Simplifying Multimodal Recommendation. CoRR Xin Zhou
2023	J	`jnl`	Multi-Modality Image Fusion and Object Detection Based on Semantic Information. Entropy Yong Liu, Xin Zhou, Wei Zhong
2023	J	`jnl`	Multimodal Pre-training Framework for Sequential Recommendation via Contrastive Learning. CoRR Lingzi Zhang, Xin Zhou, Zhiqi Shen
2023	A*	`conf`	Rethinking Negative Pairs in Code Search. EMNLP Haochen Li, Xin Zhou, Anh Tuan Luu, Chunyan Miao
2023	J	`jnl`	Rethinking Negative Pairs in Code Search. CoRR Haochen Li, Xin Zhou, Luu Anh Tuan, Chunyan Miao
2023	J	`jnl`	SelfCF: A Simple Framework for Self-supervised Collaborative Filtering. Trans. Recomm. Syst. Xin Zhou, Aixin Sun, Yong Liu, Jie Zhang, Chunyan Miao
2022	J	`jnl`	A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation. CoRR Xin Zhou
2022	J	`jnl`	Bootstrap Latent Representations for Multi-modal Recommendation. CoRR Xin Zhou, Hongyu Zhou, Yong Liu, Zhiwei Zeng, Chunyan Miao, Pengwei Wang, Yuan You, Feijun Jiang
2022	—	`conf`	Bribery in Rating Systems: A Game-Theoretic Perspective. PAKDD (3) Xin Zhou, Shigeo Matsubara, Yuan Liu, Qidong Liu
2022	—	`conf`	Diffusion-Based Graph Contrastive Learning for Recommendation with Implicit Feedback. DASFAA (2) Lingzi Zhang, Yong Liu, Xin Zhou, Chunyan Miao, Guoxin Wang, Haihong Tang
2022	J	`jnl`	Inductive Graph Transformer for Delivery Time Estimation. CoRR Xin Zhou, Jinglong Wang, Yong Liu, Xingyu Wu, Zhiqi Shen, Cyril Leung
2022	J	`jnl`	Layer-refined Graph Convolutional Networks for Recommendation. CoRR Xin Zhou, Donghui Lin, Yong Liu, Chunyan Miao
2021	J	`jnl`	3R model: A post-purchase context-aware reputation model to mitigate unfair ratings in e-commerce. Knowl. Based Syst. Yuan Liu, Xin Zhou, Han Yu
2021	—	`conf`	Graph Convolutional Reinforcement Learning for Dependent Task Allocation in Edge Computing. ICA Shiyao Ding, Donghui Lin, Xin Zhou
2021	J	`jnl`	SelfCF: A Simple Framework for Self-supervised Collaborative Filtering. CoRR Xin Zhou, Aixin Sun, Yong Liu, Jie Zhang, Chunyan Miao
2020	A	`conf`	A POMDP-based Method for Analyzing Blockchain System Security Against Long Delay Attack: (Extended Abstract). AAMAS Shuangfeng Zhang, Yuan Liu, Xingren Chen, Xin Zhou
2020	J	`jnl`	ARM: Toward Adaptive and Robust Model for Reputation Aggregation. IEEE Trans Autom. Sci. Eng. Xin Zhou, Yohei Murakami, Toru Ishida, Xuanzhe Liu, Gang Huang
2020	J	`jnl`	Learning Network Representations With Different Order Structural Information. IEEE Trans. Comput. Soc. Syst. Qidong Liu, Xin Zhou, Cheng Long, Jie Zhang, Mingliang Xu
2019	J	`jnl`	Bribery in Rating System: A Game-Theoretic Perspective. CoRR Xin Zhou, Shigeo Matsubara, Qidong Liu, Yuan Liu, Gang Huang
2019	J	`jnl`	Environmental and Human Data-Driven Model Based on Machine Learning for Prediction of Human Comfort. IEEE Access Fubing Mao, Xin Zhou, Ying Song
2018	J	`jnl`	LogPruner: detect, analyze and prune logging calls in Android apps. Sci. China Inf. Sci. Xin Zhou, Kaidong Wu, Huaqian Cai, Shuai Lou, Ying Zhang, Gang Huang
2017	—	`conf`	LogPruner: A Tool for Pruning Logging Call in Android Apps. Internetware Huaqian Cai, Xin Zhou, Shuai Lou, Ying Zhang, Gang Huang
2016	—	`conf`	Evaluating Reputation of Web Services under Rating Scarcity. SCC Xin Zhou, Donghui Lin, Toru Ishida
2016	—	`—`	Robust Reputation System for Web Services. Xin Zhou
2015	—	`conf`	Dynamic Sliding Window Model for Service Reputation. SCC Xin Zhou, Toru Ishida, Yohei Murakami
2015	—	`conf`	Towards Robust Reputation System Based on Clustering Approach. SCC Xin Zhou, Shigeo Matsubara
2013	—	`conf`	Energy-Based Particle Swarm Optimization: Collective Energy Homeostasis in Social Autonomous Robots. IAT Xin Zhou, David Kinny