A New Clonal Selection Immune Algorithm with Perturbation Guiding Search and Non-uniform Hypermutation. - Xinchao Zhao; Guoli Liu; Huqiu Liu; Guoshuai Zhao; Shaozhang Niu (Int. J. Comput. Intell. Syst., 2010)

Personalized Recommendation by Exploring Social Users' Behaviors. - Guoshuai Zhao; Xueming Qian; He Feng (MMM (2), 2014)

Personalized Recommendation Combining User Interest and Social Circle. - Xueming Qian; He Feng; Guoshuai Zhao; Tao Mei 001 (IEEE Trans. Knowl. Data Eng., 2014)

Prospects and Challenges of Deep Understanding Social Users and Urban Services - A Position Paper. - Guoshuai Zhao; Xueming Qian (BigMM, 2015)

Service Objective Evaluation via Exploring Social Users' Rating Behaviors. - Guoshuai Zhao; Xueming Qian (BigMM, 2015)

Schedule a Rich Sentimental Travel via Sentimental POI Mining and Recommendation. - Peiliang Lou; Guoshuai Zhao; Xueming Qian; Huan Wang 002; Xingsong Hou (BigMM, 2016)

Finding Optimal Meteorological Observation Locations by Multi-source Urban Big Data Analysis. - Tianlei Liu; Guoshuai Zhao; Huan Wang 002; Xingsong Hou; Xueming Qian; Tao Hou (CCBD, 2016)

Service Quality Evaluation by Exploring Social Users' Contextual Information. - Guoshuai Zhao; Xueming Qian; Xiaojiang Lei; Tao Mei 001 (IEEE Trans. Knowl. Data Eng., 2016)

Rating Prediction Based on Social Sentiment From Textual Reviews. - Xiaojiang Lei; Xueming Qian; Guoshuai Zhao (IEEE Trans. Multim., 2016)

User-Service Rating Prediction by Exploring Social Users' Rating Behaviors. - Guoshuai Zhao; Xueming Qian; Xing Xie 001 (IEEE Trans. Multim., 2016)

Service Rating Prediction by Exploring Social Mobile Users' Geographical Locations. - Guoshuai Zhao; Xueming Qian; Chen Kang (IEEE Trans. Big Data, 2017)

Why You Should Listen to This Song: Reason Generation for Explainable Recommendation. - Guoshuai Zhao; Hao Fu; Ruihua Song; Tetsuya Sakai; Xing Xie 001; Xueming Qian (ICDM Workshops, 2018)

Rating prediction by exploring user's preference and sentiment. - Xiang Ma; Xiaojiang Lei; Guoshuai Zhao; Xueming Qian (Multim. Tools Appl., 2018)

Long- and Short-term Preference Learning for Next POI Recommendation. - Yuxia Wu; Ke Li 032; Guoshuai Zhao; Xueming Qian (CIKM, 2019)

Enhancing Content Marketing Article Detection With Graph Analysis. - Xiao Liang; Chenxu Wang 001; Guoshuai Zhao (IEEE Access, 2019)

Personalized Reason Generation for Explainable Song Recommendation. - Guoshuai Zhao; Hao Fu; Ruihua Song; Tetsuya Sakai; Zhongxia Chen; Xing Xie 001; Xueming Qian (ACM Trans. Intell. Syst. Technol., 2019)

Exploring Users' Internal Influence from Reviews for Social Recommendation. - Guoshuai Zhao; Xiaojiang Lei; Xueming Qian; Tao Mei 001 (IEEE Trans. Multim., 2019)

Robust Low-Rank Discovery of Data-Driven Partial Differential Equations. - Jun Li 027; Gan Sun; Guoshuai Zhao; Li-Wei H. Lehman (AAAI, 2020)

An Extended Knowledge Representation Learning Approach for Context-Based Traceability Link Recovery: Extended Abstract. - Guoshuai Zhao; Tong Li 001; Zhen Yang 004 (AIRE@RE, 2020)

An Extended Knowledge Representation Learning Approach for Context-based Traceability Link Recovery. - Guoshuai Zhao; Tong Li 001; Zhen Yang 004 (SEKE, 2020)

Personalized location recommendation by fusing sentimental and spatial context. - Guoshuai Zhao; Peiliang Lou; Xueming Qian; Xingsong Hou (Knowl. Based Syst., 2020)

Location Recommendation for Enterprises by Multi-Source Urban Big Data Analysis. - Guoshuai Zhao; Tianlei Liu; Xueming Qian; Tao Hou; Huan Wang 002; Xingsong Hou; Zhetao Li (IEEE Trans. Serv. Comput., 2020)

Multi-Sample based Contrastive Loss for Top-k Recommendation. - Hao Tang; Guoshuai Zhao; Yuxia Wu; Xueming Qian (CoRR, 2021)

Hashing person re-ID with self-distilling smooth relaxation. - Hanyang Jin; Shenqi Lai; Guoshuai Zhao; Xueming Qian (Neurocomputing, 2021)

Dynamic evolution of multi-graph based collaborative filtering for recommendation systems. - Hao Tang; Guoshuai Zhao; Xuxiao Bu; Xueming Qian (Knowl. Based Syst., 2021)

Deep multi-task learning model for time series prediction in wireless communication. - Kailin Cao; Ting Hu; Zishuo Li; Guoshuai Zhao; Xueming Qian (Phys. Commun., 2021)

CAPER: Context-Aware Personalized Emoji Recommendation. - Guoshuai Zhao; Zhidan Liu 003; Yulu Chao; Xueming Qian (IEEE Trans. Knowl. Data Eng., 2021)

Deep Multi-View Subspace Clustering With Unified and Discriminative Learning. - Qianqian Wang 001; Jiafeng Cheng; Quanxue Gao; Guoshuai Zhao; Licheng Jiao (IEEE Trans. Multim., 2021)

Continual Multiview Task Learning via Deep Matrix Factorization. - Gan Sun; Yang Cong; Yulun Zhang 001; Guoshuai Zhao; Yun Fu 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Dialogue State Tracking Based on Hierarchical Slot Attention and Contrastive Learning. - Yihao Zhou; Guoshuai Zhao; Xueming Qian (CIKM, 2022)

A Neural Corpus Indexer for Document Retrieval. - Yujing Wang; Yingyan Hou; Haonan Wang; Ziming Miao; Shibin Wu; Qi Chen 009; Yuqing Xia; Chengmin Chi; Guoshuai Zhao; Zheng Liu 011; Xing Xie 001; Hao Sun 015; et al. (NeurIPS, 2022)

PERD: Personalized Emoji Recommendation with Dynamic User Preference. - Xuanzhi Zheng; Guoshuai Zhao; Li Zhu 003; Xueming Qian (SIGIR, 2022)

A Neural Corpus Indexer for Document Retrieval. - Yujing Wang; Yingyan Hou; Haonan Wang; Ziming Miao; Shibin Wu; Hao Sun 015; Qi Chen 009; Yuqing Xia; Chengmin Chi; Guoshuai Zhao; Zheng Liu 011; Xing Xie 001; et al. (CoRR, 2022)

Combining Non-sampling and Self-attention for Sequential Recommendation. - Guangjin Chen; Guoshuai Zhao; Li Zhu 003; Zhimin Zhuo; Xueming Qian (Inf. Process. Manag., 2022)

Personalized Long- and Short-term Preference Learning for Next POI Recommendation. - Yuxia Wu; Ke Li 032; Guoshuai Zhao; Xueming Qian (IEEE Trans. Knowl. Data Eng., 2022)

Annular-Graph Attention Model for Personalized Sequential Recommendation. - Junmei Hao; Yujie Dun; Guoshuai Zhao; Yuxia Wu; Xueming Qian (IEEE Trans. Multim., 2022)

A Diffusion Model with Contrastive Learning for ICU False Arrhythmia Alarm Reduction. - Feng Wu; Guoshuai Zhao; Xueming Qian; Li-Wei H. Lehman (IJCAI, 2023)

Logic Diffusion for Knowledge Graph Reasoning. - Xiaoying Xie; Biao Gong; Yiliang Lv; Zhen Han; Guoshuai Zhao; Xueming Qian (CoRR, 2023)

Knowledge Transfer-Driven Few-Shot Class-Incremental Learning. - Ye Wang; Yaxiong Wang; Guoshuai Zhao; Xueming Qian (CoRR, 2023)

FP8-LM: Training FP8 Large Language Models. - Houwen Peng; Kan Wu; Yixuan Wei; Guoshuai Zhao; Yuxiang Yang; Ze Liu; Yifan Xiong 001; Ziyue Yang; Bolin Ni; Jingcheng Hu; Ruihang Li; Miaosen Zhang; et al. (CoRR, 2023)

A Multiview Text Imagination Network Based on Latent Alignment for Image-Text Matching. - Heng Shang; Guoshuai Zhao; Jing Shi; Xueming Qian (IEEE Intell. Syst., 2023)

Ranking-based contrastive loss for recommendation systems. - Hao Tang; Guoshuai Zhao; Yujiao He; Yuxia Wu; Xueming Qian (Knowl. Based Syst., 2023)

Fine-Grained Conditional Convolution Network With Geographic Features for Temperature Prediction. - Cheng Zhang; Guoshuai Zhao; Junjiao Liu; Xingjun Zhang; Xueming Qian (IEEE Trans. Geosci. Remote. Sens., 2023)

Multisample-Based Contrastive Loss for Top-K Recommendation. - Hao Tang; Guoshuai Zhao; Yuxia Wu; Xueming Qian (IEEE Trans. Multim., 2023)

State Graph Reasoning for Multimodal Conversational Recommendation. - Yuxia Wu; Lizi Liao; Gangyi Zhang; Wenqiang Lei; Guoshuai Zhao; Xueming Qian; Tat-Seng Chua (IEEE Trans. Multim., 2023)

Aspect-based sentiment analysis via multitask learning for online reviews. - Guoshuai Zhao; Yiling Luo; Qiang Chen; Xueming Qian (Knowl. Based Syst., 2023)

Generative label fused network for image-text matching. - Guoshuai Zhao; Chaofeng Zhang; Heng Shang; Yaxiong Wang; Li Zhu 003; Xueming Qian (Knowl. Based Syst., 2023)

What You Like, What I Am: Online Dating Recommendation via Matching Individual Preferences With Features. - Xuanzhi Zheng; Guoshuai Zhao; Li Zhu 003; Jihua Zhu; Xueming Qian (IEEE Trans. Knowl. Data Eng., 2023)

Joint Reason Generation and Rating Prediction for Explainable Recommendation. - Jihua Zhu; Yujiao He; Guoshuai Zhao; Xuxiao Bu; Xueming Qian (IEEE Trans. Knowl. Data Eng., 2023)

Fine-grained semantic textual similarity measurement via a feature separation network. - Qiang Chen; Guoshuai Zhao; Yuxia Wu; Xueming Qian (Appl. Intell., 2023)

Learning to complement: Relation complementation network for few-shot class-incremental learning. - Ye Wang; Yaxiong Wang; Guoshuai Zhao; Xueming Qian (Knowl. Based Syst., 2023)

Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent Discovery. - Yimin Deng; Yuxia Wu; Guoshuai Zhao; Li Zhu 003; Xueming Qian (EMNLP (Findings), 2024)

Learning to Paraphrase for Alignment with LLM Preference. - Junbo Fu; Guoshuai Zhao; Yimin Deng; Yunqi Mi; Xueming Qian (EMNLP (Findings), 2024)

Enhancing Weather Model: A Meteorological Incremental Learning Method with Long-term and Short-term Asynchronous Updating Strategy. - Junjiao Liu; Cheng Zhang; Guoshuai Zhao; Xueming Qian (IJCNN, 2024)

SuperBench: Improving Cloud AI Infrastructure Reliability with Proactive Validation. - Yifan Xiong 001; Yuting Jiang; Ziyue Yang; Lei Qu; Guoshuai Zhao; Shuguang Liu; Dong Zhong; Boris Pinzur; Jie Zhang 048; Yang Wang 053; Jithin Jose; Hossein Pourreza; et al. (USENIX ATC, 2024)

Inverter Open Circuit fault diagnosis method based on ISMO for Improved Efficiency. - Sumin Han; Guoshuai Zhao; Jingli Gao; Jiaoxin Jia (Comput. Electr. Eng., 2024)

Anubis: Towards Reliable Cloud AI Infrastructure via Proactive Validation. - Yifan Xiong 001; Yuting Jiang; Ziyue Yang; Lei Qu; Guoshuai Zhao; Shuguang Liu; Dong Zhong; Boris Pinzur; Jie Zhang 048; Yang Wang 053; Jithin Jose; Hossein Pourreza; et al. (CoRR, 2024)

Knowledge Adaptation Network for Few-Shot Class-Incremental Learning. - Ye Wang; Yaxiong Wang; Guoshuai Zhao; Xueming Qian (CoRR, 2024)

Neighborhood Commonality-aware Evolution Network for Continuous Generalized Category Discovery. - Ye Wang; Yaxiong Wang; Guoshuai Zhao; Xueming Qian (CoRR, 2024)

Personalized Representation With Contrastive Loss for Recommendation Systems. - Hao Tang; Guoshuai Zhao; Jing Gao; Xueming Qian (IEEE Trans. Multim., 2024)

Reason Generation for Point of Interest Recommendation Via a Hierarchical Attention-Based Transformer Model. - Yuxia Wu; Guoshuai Zhao; Mingdi Li; Zhuocheng Zhang; Xueming Qian (IEEE Trans. Multim., 2024)

Resolving Zero-Shot and Fact-Based Visual Question Answering via Enhanced Fact Retrieval. - Sen Wu 012; Guoshuai Zhao; Xueming Qian (IEEE Trans. Multim., 2024)

Domain-Oriented Knowledge Transfer for Cross-Domain Recommendation. - Guoshuai Zhao; Xiaolong Zhang; Hao Tang; Jialie Shen 001; Xueming Qian (IEEE Trans. Multim., 2024)

Improved Continually Evolved Classifiers for Few-Shot Class-Incremental Learning. - Ye Wang; Guoshuai Zhao; Xueming Qian (IEEE Trans. Circuits Syst. Video Technol., 2024)

Product Recognition for Unmanned Vending Machines. - Chengxu Liu; Zongyang Da; Yuanzhi Liang; Yao Xue; Guoshuai Zhao; Xueming Qian (IEEE Trans. Neural Networks Learn. Syst., 2024)

Split-Check: Boosting Product Recognition via Instance-Level Retrieval. - Chengxu Liu; Zongyang Da; Yuanzhi Liang; Yao Xue; Guoshuai Zhao; Xueming Qian (IEEE Trans. Ind. Informatics, 2024)

Forecasting Treatment Outcomes Over Time Using Alternating Deep Sequential Models. - Feng Wu; Guoshuai Zhao; Yuerong Zhou; Xueming Qian; Baedorf-Kassis Elias; Li-Wei H. Lehman (IEEE Trans. Biomed. Eng., 2024)

Improving Conversational Recommendation System Through Personalized Preference Modeling and Knowledge Graph. - Feng Wu; Guoshuai Zhao; Tengjiao Li; Jialie Shen 001; Xueming Qian (IEEE Trans. Knowl. Data Eng., 2024)

M3Net: Efficient Time-Frequency Integration Network with Mirror Attention for Audio Classification on Edge. - Xuanming Jiang; Baoyi An; Guoshuai Zhao; Xueming Qian (AAAI, 2025)

A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs. - Yimin Deng; Yuxia Wu; Yejing Wang; Guoshuai Zhao; Li Zhu 003; Qidong Liu 002; Derong Xu; Zichuan Fu; Xian Wu 001; Yefeng Zheng 001; Xiangyu Zhao 001; Xueming Qian (ACL (Findings), 2025)

Rethinking Label Assignment and Sampling Strategies for Two-Stage Oriented Object Detection. - Jinjin Qian; Chengxu Liu; Yubin Ai; Guoshuai Zhao; Xueming Qian (IEEE Geosci. Remote. Sens. Lett., 2025)

Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models. - Zhenghao Lin; Zihao Tang; Xiao Liu 029; Yeyun Gong; Yi Cheng; Qi Chen 009; Hang Li; Ying Xin; Ziyue Yang; Kailai Yang; Yu Yan; Xiao Liang; et al. (CoRR, 2025)

Optimizing Large Language Model Training Using FP4 Quantization. - Ruizhe Wang; Yeyun Gong; Xiao Liu 029; Guoshuai Zhao; Ziyue Yang; Baining Guo; Zhengjun Zha; Peng Cheng 005 (CoRR, 2025)

Enhancing Automated Vending Machine Product Recognition Through Depth-Guided Regression Refinement. - Jinjin Qian; Chengxu Liu; Yubin Ai; Guoshuai Zhao; Xueming Qian (IEEE Trans. Ind. Informatics, 2025)