Energy-Based Particle Swarm Optimization: Collective Energy Homeostasis in Social Autonomous Robots. - Xin Zhou 008; David Kinny (IAT, 2013)

Dynamic Sliding Window Model for Service Reputation. - Xin Zhou 008; Toru Ishida 001; Yohei Murakami (SCC, 2015)

Towards Robust Reputation System Based on Clustering Approach. - Xin Zhou 008; Shigeo Matsubara (SCC, 2015)

Evaluating Reputation of Web Services under Rating Scarcity. - Xin Zhou 008; Donghui Lin; Toru Ishida 001 (SCC, 2016)

Robust Reputation System for Web Services. - Xin Zhou 008 (2016)

LogPruner: A Tool for Pruning Logging Call in Android Apps. - Huaqian Cai; Xin Zhou 008; Shuai Lou; Ying Zhang 012; Gang Huang 001 (Internetware, 2017)

LogPruner: detect, analyze and prune logging calls in Android apps. - Xin Zhou 008; Kaidong Wu; Huaqian Cai; Shuai Lou; Ying Zhang 012; Gang Huang 001 (Sci. China Inf. Sci., 2018)

Environmental and Human Data-Driven Model Based on Machine Learning for Prediction of Human Comfort. - Fubing Mao; Xin Zhou 008; Ying Song (IEEE Access, 2019)

Bribery in Rating System: A Game-Theoretic Perspective. - Xin Zhou 008; Shigeo Matsubara; Qidong Liu 001; Yuan Liu 002; Gang Huang 001 (CoRR, 2019)

A POMDP-based Method for Analyzing Blockchain System Security Against Long Delay Attack: (Extended Abstract). - Shuangfeng Zhang; Yuan Liu 002; Xingren Chen; Xin Zhou 008 (AAMAS, 2020)

ARM: Toward Adaptive and Robust Model for Reputation Aggregation. - Xin Zhou 008; Yohei Murakami; Toru Ishida 001; Xuanzhe Liu; Gang Huang 001 (IEEE Trans Autom. Sci. Eng., 2020)

Learning Network Representations With Different Order Structural Information. - Qidong Liu 001; Xin Zhou 008; Cheng Long 001; Jie Zhang 002; Mingliang Xu 001 (IEEE Trans. Comput. Soc. Syst., 2020)

Graph Convolutional Reinforcement Learning for Dependent Task Allocation in Edge Computing. - Shiyao Ding; Donghui Lin; Xin Zhou 008 (ICA, 2021)

3R model: A post-purchase context-aware reputation model to mitigate unfair ratings in e-commerce. - Yuan Liu 002; Xin Zhou 008; Han Yu 001 (Knowl. Based Syst., 2021)

Diffusion-Based Graph Contrastive Learning for Recommendation with Implicit Feedback. - Lingzi Zhang; Yong Liu 020; Xin Zhou 008; Chunyan Miao; Guoxin Wang 002; Haihong Tang (DASFAA (2), 2022)

Bribery in Rating Systems: A Game-Theoretic Perspective. - Xin Zhou 008; Shigeo Matsubara; Yuan Liu 002; Qidong Liu 001 (PAKDD (3), 2022)

A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation. - Xin Zhou 008 (CoRR, 2022)

Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation. - Jiazheng Jing; Yinan Zhang 002; Xin Zhou 008; Zhiqi Shen 001 (CIKM, 2023)

Dual Graph Multitask Framework for Imbalanced Delivery Time Estimation. - Lei Zhang 199; Mingliang Wang; Xin Zhou 008; Xingyu Wu; Yiming Cao; Yonghui Xu; Lizhen Cui; Zhiqi Shen 001 (DASFAA (4), 2023)

Enhancing Dyadic Relations with Homogeneous Graphs for Multimodal Recommendation. - Hongyu Zhou; Xin Zhou 008; Lingzi Zhang; Zhiqi Shen 001 (ECAI, 2023)

Rethinking Negative Pairs in Code Search. - Haochen Li 009; Xin Zhou 008; Anh Tuan Luu; Chunyan Miao (EMNLP, 2023)

Delivery Time Prediction Using Large-Scale Graph Structure Learning Based on Quantile Regression. - Lei Zhang 199; Xin Zhou 008; Zhiwei Zeng; Yiming Cao; Yonghui Xu; Mingliang Wang; Xingyu Wu; Yong Liu 020; Lizhen Cui; Zhiqi Shen 001 (ICDE, 2023)

Layer-refined Graph Convolutional Networks for Recommendation. - Xin Zhou 008; Donghui Lin; Yong Liu 020; Chunyan Miao (ICDE, 2023)

A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation. - Xin Zhou 008; Zhiqi Shen 001 (ACM Multimedia, 2023)

MMRec: Simplifying Multimodal Recommendation. - Xin Zhou 008 (MMAsia (Workshops), 2023)

Inductive Graph Transformer for Delivery Time Estimation. - Xin Zhou 008; Jinglong Wang; Yong Liu 020; Xingyu Wu; Zhiqi Shen 001; Cyril Leung (WSDM, 2023)

Bootstrap Latent Representations for Multi-modal Recommendation. - Xin Zhou 008; Hongyu Zhou; Yong Liu 020; Zhiwei Zeng; Chunyan Miao; Pengwei Wang 005; Yuan You; Feijun Jiang (WWW, 2023)

Enhancing Dyadic Relations with Homogeneous Graphs for Multimodal Recommendation. - Hongyu Zhou; Xin Zhou 008; Zhiqi Shen 001 (CoRR, 2023)

A Comprehensive Survey on Multimodal Recommender Systems: Taxonomy, Evaluation, and Future Directions. - Hongyu Zhou; Xin Zhou 008; Zhiwei Zeng; Lingzi Zhang; Zhiqi Shen 001 (CoRR, 2023)

Multimodal Pre-training Framework for Sequential Recommendation via Contrastive Learning. - Lingzi Zhang; Xin Zhou 008; Zhiqi Shen 001 (CoRR, 2023)

Multi-Modality Image Fusion and Object Detection Based on Semantic Information. - Yong Liu 020; Xin Zhou 008; Wei Zhong (Entropy, 2023)

A Semi-Centralized Trust Management Model Based on Blockchain for Data Exchange in IoT System. - Yuan Liu 002; Chuang Zhang; Yu Yan; Xin Zhou 008; Zhihong Tian; Jie Zhang 002 (IEEE Trans. Serv. Comput., 2023)

M2GCN: multi-modal graph convolutional network for modeling polypharmacy side effects. - Qidong Liu 001; Enguang Yao; Chaoyue Liu 009; Xin Zhou 008; Yafei Li; Mingliang Xu 001 (Appl. Intell., 2023)

SelfCF: A Simple Framework for Self-supervised Collaborative Filtering. - Xin Zhou 008; Aixin Sun; Yong Liu 020; Jie Zhang 002; Chunyan Miao (Trans. Recomm. Syst., 2023)

Dual-View Whitening on Pre-trained Text Embeddings for Sequential Recommendation. - Lingzi Zhang; Xin Zhou 008; Zhiwei Zeng; Zhiqi Shen 001 (AAAI, 2024)

Rewriting the Code: A Simple Method for Large Language Model Augmented Code Search. - Haochen Li 009; Xin Zhou 008; Zhiqi Shen 001 (ACL (1), 2024)

Multi-modal Food Recommendation with Health-aware Knowledge Distillation. - Yixin Zhang; Xin Zhou 008; Fanglin Zhu; Ning Liu 014; Wei Guo 017; Yonghui Xu; Zhiqi Shen 001; Lizhen Cui (CIKM, 2024)

Are ID Embeddings Necessary? Whitening Pre-trained Text Embeddings for Effective Sequential Recommendation. - Lingzi Zhang; Xin Zhou 008; Zhiwei Zeng; Zhiqi Shen 001 (ICDE, 2024)

Multi-modal Food Recommendation Using Clustering and Self-supervised Learning. - Yixin Zhang; Xin Zhou 008; Qianwen Meng; Fanglin Zhu; Yonghui Xu; Zhiqi Shen 001; Lizhen Cui (PRICAI (1), 2024)

GreenRec: A Large-Scale Dataset for Green Food Recommendation. - Lingzi Zhang; Yinan Zhang 002; Xin Zhou 008; Zhiqi Shen 001 (WWW (Companion Volume), 2024)

Multimodal Pretraining and Generation for Recommendation: A Tutorial. - Jieming Zhu; Xin Zhou 008; Chuhan Wu; Rui Zhang 003; Zhenhua Dong (WWW (Companion Volume), 2024)

Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation. - Honglei Zhang; Haoxuan Li 001; Jundong Chen 003; Sen Cui; Kunda Yan; Abudukelimu Wuerkaixi; Xin Zhou 008; Zhiqi Shen 001; Yidong Li (CoRR, 2024)

Low-Dimensional Federated Knowledge Graph Embedding via Knowledge Distillation. - Xiaoxiong Zhang 002; Zhiwei Zeng; Xin Zhou 008; Zhiqi Shen 001 (CoRR, 2024)

Advancing Sustainability via Recommender Systems: A Survey. - Xin Zhou 008; Lei Zhang 199; Honglei Zhang; Yixin Zhang; Xiaoxiong Zhang 002; Jie Zhang 002; Zhiqi Shen 001 (CoRR, 2024)

Disentangled Graph Variational Auto-Encoder for Multimodal Recommendation With Interpretability. - Xin Zhou 008; Chunyan Miao (IEEE Trans. Multim., 2024)

Estimating package arrival time via heterogeneous hypergraph neural network. - Lei Zhang 199; Xingyu Wu; Yong Liu 020; Xin Zhou 008; Yiming Cao; Yonghui Xu; Lizhen Cui; Chunyan Miao (Expert Syst. Appl., 2024)

GiFT: Gibbs Fine-Tuning for Code Generation. - Haochen Li 009; Wanjin Feng; Xin Zhou 008; Zhiqi Shen 001 (ACL (1), 2025)

Report Friendly: An Interface Design for an LLM-Empowered ESG Report Generation System. - Xinjia Yu; Xin Zhou 008; Shengfei Lyu; Xiaoqiao Wang; Huanhuan Chen; Chunyan Miao (HCI (56), 2025)

Communication-efficient federated knowledge graph embedding with entity-wise top-K sparsification. - Xiaoxiong Zhang 002; Zhiwei Zeng; Xin Zhou 008; Dusit Niyato; Zhiqi Shen 001 (Knowl. Based Syst., 2025)

PrivFR: Privacy-Enhanced Federated Recommendation With Shared Hash Embedding. - Honglei Zhang; Xin Zhou 008; Zhiqi Shen 001; Yidong Li (IEEE Trans. Neural Networks Learn. Syst., 2025)

Personalized federated knowledge graph embedding with client-wise relation graph. - Xiaoxiong Zhang 002; Zhiwei Zeng; Xin Zhou 008; Dusit Niyato; Zhiqi Shen 001 (Appl. Intell., 2025)

The crowd in MOOCs: a study of learning patterns at scale. - Xin Zhou 008; Aixin Sun; Jie Zhang 002; Donghui Lin (Interact. Learn. Environ., 2025)

Learning Item Representations Directly from Multimodal Features for Effective Recommendation. - Xin Zhou 008; Xiaoxiong Zhang 002; Dusit Niyato; Zhiqi Shen 001 (CoRR, 2025)

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? - Yongjie Wang; Yibo Wang; Xin Zhou 008; Zhiqi Shen 001 (CoRR, 2025)

ESGenius: Benchmarking LLMs on Environmental, Social, and Governance (ESG) and Sustainability Knowledge. - Chaoyue He; Xin Zhou 008; Yi Wu; Xinjia Yu; Yan Zhang; Lei Zhang 199; Di Wang 004; Shengfei Lyu; Hong Xu; Xiaoqiao Wang; Wei Liu; Chunyan Miao (CoRR, 2025)

Benchmarking Multimodal Understanding and Complex Reasoning for ESG Tasks. - Lei Zhang 199; Xin Zhou 008; Chaoyue He; Di Wang 004; Yi Wu; Hong Xu; Wei Liu; Chunyan Miao (CoRR, 2025)

CM3: Calibrating Multimodal Recommendation. - Xin Zhou 008; Yongjie Wang; Zhiqi Shen 001 (CoRR, 2025)

Semantic Item Graph Enhancement for Multimodal Recommendation. - Xiaoxiong Zhang 002; Xin Zhou 008; Zhiwei Zeng; Dusit Niyato; Zhiqi Shen 001 (CoRR, 2025)