| 2026 | ACL | Reinforced Efficient Reasoning via Semantically Diverse Exploration. | Ziqi Zhao, Zhaochun Ren, Jiahong Zou, Liu Yang, Zhiwei Xu, Xuri Ge, Zhumin Chen, Xinyu Ma, Daiting Shi, Shuaiqiang Wang, Dawei Yin, Xin Xin |
| 2026 | ASPLOS | ReliaFHE: Resilient Design for Fully Homomorphic Encryption Accelerators. | Fan Li, Mayank Kumar, Ruizhi Zhu, Mengxin Zheng, Qian Lou, Xin Xin |
| 2026 | HPCA | ASPA: Reassigning DDR5 Parity Bandwidth. | Fan Li, Qiufeng Li, Yanan Guo, Weidong Cao, Xin Xin |
| 2026 | ISCA | LOONG: Utilizing Long-Stride Reprogramming to Enhance the Performance of SSDs. | Congming Gao, Jiancong Zheng, Xufeng Yang, Qiao Li, Jian Chen, Tianyu Ren, Zheng Wan, Yina Lv, Xin Xin, Min Ye, Chun Jason Xue, Jiwu Shu |
| 2026 | ISCA | HBM-CASO: A Coordinated Approach to HBM System-Level and On-Die ECC. | Ruizhi Zhu, Yanan Guo, Huize Li, Weidong Cao, Qian Lou, Xin Xin |
| 2026 | ICS | DANMP: Accelerating Multi-Scale Deformable Attention Using Near-Memory-Processing Architecture. | Huize Li, Qinggang Wang, Bin Gao, Dan Chen, Yu Huang, Xin Xin |
| 2026 | WWW | MCoT-MVS: Multi-level Vision Selection by Multi-modal Chain-of-Thought Reasoning for Composed Image Retrieval. | Xuri Ge, Chunhao Wang, Xindi Wang, Zheyun Qin, Zhumin Chen, Xin Xin |
| 2026 | WWW | R2NS: Recall and Re-ranking of Negative Samples for Sequential Recommendation. | Yuanzi Li, Xuri Ge, Jingyu Zhao, Yidan Wang, Jiyuan Yang, Zhumin Chen, Zhaochun Ren, Xin Xin |
| 2026 | WWW | Model Editing for New Document Integration in Generative Information Retrieval. | Zhen Zhang, Zihan Wang, Xinyu Ma, Shuaiqiang Wang, Dawei Yin, Xin Xin, Pengjie Ren, Maarten de Rijke, Zhaochun Ren |
| 2025 | AAAI | Reverse Region-to-Entity Annotation for Pixel-Level Visual Entity Linking. | Zhengfei Xu, Sijia Zhao, Yanchao Hao, Xiaolong Liu, Lili Li, Yuyang Yin, Bo Li, Xi Chen, Xin Xin |
| 2025 | ICCD | PIM-SUM: Fast and Reliable In-Memory Summation for Recommendation Systems. | Fan Li, Ruizhi Zhu, Huize Li, Di Wu, Xin Xin |
| 2025 | ICLR | OmniKV: Dynamic Context Selection for Efficient Long-Context LLMs. | Jitai Hao, Yuke Zhu, Tian Wang, Jun Yu, Xin Xin, Bo Zheng, Zhaochun Ren, Sheng Guo |
| 2025 | ICML | Reidentify: Context-Aware Identity Generation for Contextual Multi-Agent Reinforcement Learning. | Zhiwei Xu, Kun Hu, Xin Xin, Weiliang Meng, Yiwei Shi, Hangyu Mao, Bin Zhang, Dapeng Li, Jiangjin Yin |
| 2025 | ISCA | LightML: A Photonic Accelerator for Efficient General Purpose Machine Learning. | Liang Liu, Sadra Rahimi Kari, Xin Xin, Nathan Youngblood, Youtao Zhang, Jun Yang |
| 2025 | KDD | Offline Trajectory Optimization for Offline Reinforcement Learning. | Ziqi Zhao, Zhaochun Ren, Liu Yang, Yunsen Liang, Fajie Yuan, Pengjie Ren, Zhumin Chen, Jun Ma, Xin Xin |
| 2025 | RecSys | Measuring Interaction-Level Unlearning Difficulty for Collaborative Filtering. | Haocheng Dou, Tao Lian, Xin Xin |
| 2025 | VTC | UAV Swarm Network Planning for Continuous and Energy-Efficient Emergency Communication. | Xin Xin, Changtong Liu, Yueyue Dai, Yihan Zhang, Du Xu |
| 2025 | WWW | The 1st EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval. | Junchen Fu, Xuri Ge, Xin Xin, Haitao Yu, Yue Feng, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose |
| 2025 | SIGIR | Constrained Auto-Regressive Decoding Constrains Generative Retrieval. | Shiguang Wu, Zhaochun Ren, Xin Xin, Jiyuan Yang, Mengqi Zhang, Zhumin Chen, Maarten de Rijke, Pengjie Ren |
| 2025 | SIGIR | AgentIR: 2nd Workshop on Agent-based Information Retrieval. | Pengyue Jia, Qingpeng Cai, Xiangyu Zhao, Ling Pan, Xin Xin, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang |
| 2025 | SIGIR | Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure. | Ziqi Zhao, Zhaochun Ren, Jiyuan Yang, Zuming Yan, Zihan Wang, Liu Yang, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Xin Xin |
| 2025 | WSDM | Towards Personalized Federated Multi-Scenario Multi-Task Recommendation. | Yue Ding, Yanbiao Ji, Xun Cai, Xin Xin, Yuxiang Lu, Suizhi Huang, Chang Liu, Xiaofeng Gao, Tsuyoshi Murata, Hongtao Lu |
| 2025 | WSDM | Exploration and Exploitation of Hard Negative Samples for Cross-Domain Sequential Recommendation. | Yidan Wang, Xuri Ge, Xin Chen, Ruobing Xie, Su Yan, Xu Zhang, Zhumin Chen, Jun Ma, Xin Xin |
| 2024 | AAAI | Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum. | Shen Gao, Zhengliang Shi, Minghang Zhu, Bowen Fang, Xin Xin, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren |
| 2024 | ACL | MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter. | Jitai Hao, Weiwei Sun, Xin Xin, Qi Meng, Zhumin Chen, Pengjie Ren, Zhaochun Ren |
| 2024 | CIKM | Sparks of Surprise: Multi-objective Recommendations with Hierarchical Decision Transformers for Diversity, Novelty, and Serendipity. | Jie Wang, Alexandros Karatzoglou, Ioannis Arapakis, Xin Xin, Xuri Ge, Joemon M. Jose |
| 2024 | CIKM | Content-Based Collaborative Generation for Recommender Systems. | Yidan Wang, Zhaochun Ren, Weiwei Sun, Jiyuan Yang, Zhixiang Liang, Xin Chen, Ruobing Xie, Su Yan, Xu Zhang, Pengjie Ren, Zhumin Chen, Xin Xin |
| 2024 | DAC | Addition is Most You Need: Efficient Floating-Point SRAM Compute-in-Memory by Harnessing Mantissa Addition. | Weidong Cao, Jian Gao, Xin Xin, Xuan Zhang |
| 2024 | ECIR | KEIR @ ECIR 2024: The First Workshop on Knowledge-Enhanced Information Retrieval. | Zaiqiao Meng, Shangsong Liang, Xin Xin, Gianluca Moro, Evangelos Kanoulas, Emine Yilmaz |
| 2024 | RecSys | Towards Empathetic Conversational Recommender Systems. | Xiaoyu Zhang, Ruobing Xie, Yougang Lyu, Xin Xin, Pengjie Ren, Mingfei Liang, Bo Zhang, Zhanhui Kang, Maarten de Rijke, Zhaochun Ren |
| 2024 | SIGIR | AgentIR: 1st Workshop on Agent-based Information Retrieval. | Qingpeng Cai, Xiangyu Zhao, Ling Pan, Xin Xin, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang |
| 2024 | SIGIR | IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT. | Junchen Fu, Xuri Ge, Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Jie Wang, Joemon M. Jose |
| 2024 | WSDM | On the Effectiveness of Unlearning in Session-Based Recommendation. | Xin Xin, Liu Yang, Ziqi Zhao, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren |
| 2024 | WSDM | Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure. | Jiyuan Yang, Yue Ding, Yidan Wang, Pengjie Ren, Zhumin Chen, Fei Cai, Jun Ma, Rui Zhang, Zhaochun Ren, Xin Xin |
| 2023 | CIKM | DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval. | Xin Xin, Xiangyu Zhao, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang |
| 2023 | HCI | Beyond Car Human-Machine Interface (HMI): Mapping Six Intelligent Modes into Future Cockpit Scenarios. | Shu-Yu Cui, Donghan Hou, Jiayue Li, Yuwei Liu, Zi Wang, Jiayu Zheng, Xueshi Dou, Zhanyao Feng, Yuxuan Gu, Minglan Li, Songbo Ni, Ziwei Ran, Bojuan Ren, Jingyi Sun, Shenmin Wang, Xinyan Xiong, Guanzhuo Zhang, Wangjun Li, Jingpeng Jia, Xin Xin |
| 2023 | MICRO | Uncore Encore: Covert Channels Exploiting Uncore Frequency Scaling. | Yanan Guo, Dingyuan Cao, Xin Xin, Youtao Zhang, Jun Yang |
| 2023 | WWW | A Self-Correcting Sequential Recommender. | Yujie Lin, Chenyang Wang, Zhumin Chen, Zhaochun Ren, Xin Xin, Qiang Yan, Maarten de Rijke, Xiuzhen Cheng, Pengjie Ren |
| 2023 | SIGIR | Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment. | Xin Xin, Xiangyuan Liu, Hanbing Wang, Pengjie Ren, Zhumin Chen, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Maarten de Rijke, Zhaochun Ren |
| 2023 | SIGIR | Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems. | Zhaochun Ren, Na Huang, Yidan Wang, Pengjie Ren, Jun Ma, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Xin Xin |
| 2023 | SIGIR | A Generic Learning Framework for Sequential Recommendation with Distribution Shifts. | Zhengyi Yang, Xiangnan He, Jizhi Zhang, Jiancan Wu, Xin Xin, Jiawei Chen, Xiang Wang |
| 2023 | WSDM | Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation. | Xiaoyu Zhang, Xin Xin, Dongdong Li, Wenxuan Liu, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren |
| 2022 | DAC | Architecting DDR5 DRAM caches for non-volatile memory systems. | Xin Xin, Wanyi Zhu, Li Zhao |
| 2022 | HCI | Building up Personas by Clustering Behavior Motivation from Extreme Users. | Xin Xin, Yonghao Wang, Yiwen Zhang, Qianqian Wu, Wenmin Yang, Chenhong Yang, Rongrong Zhang, Michael T. Lai, Wei Liu |
| 2022 | MICRO | Leaky Way: A Conflict-Based Cache Covert Channel Bypassing Set Associativity. | Yanan Guo, Xin Xin, Youtao Zhang, Jun Yang |
| 2022 | WWW | Learning Robust Recommenders through Cross-Model Agreement. | Yu Wang, Xin Xin, Zaiqiao Meng, Joemon M. Jose, Fuli Feng, Xiangnan He |
| 2022 | SIGIR | Variational Reasoning about User Preferences for Conversational Recommendation. | Zhaochun Ren, Zhi Tian, Dongdong Li, Pengjie Ren, Liu Yang, Xin Xin, Huasheng Liang, Maarten de Rijke, Zhumin Chen |
| 2022 | SIGIR | Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective. | Xin Xin, Tiago Pimentel, Alexandros Karatzoglou, Pengjie Ren, Konstantina Christakopoulou, Zhaochun Ren |
| 2022 | SIGIR | ReMeDi: Resources for Multi-domain, Multi-service, Medical Dialogues. | Guojun Yan, Jiahuan Pei, Pengjie Ren, Zhaochun Ren, Xin Xin, Huasheng Liang, Maarten de Rijke, Zhumin Chen |
| 2022 | SIGIR | DRL4IR: 3rd Workshop on Deep Reinforcement Learning for Information Retrieval. | Xiangyu Zhao, Xin Xin, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang |
| 2022 | WSDM | Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning. | Dusan Stamenkovic, Alexandros Karatzoglou, Ioannis Arapakis, Xin Xin, Kleomenis Katevas |
| 2022 | WSDM | Supervised Advantage Actor-Critic for Recommender Systems. | Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose |
| 2021 | ACL | N-ary Constituent Tree Parsing with Recursive Semi-Markov Model. | Xin Xin, Jinlong Li, Zeqi Tan |
| 2021 | CIKM | Extracting Attentive Social Temporal Excitation for Sequential Recommendation. | Yunzhe Li, Yue Ding, Bo Chen, Xin Xin, Yule Wang, Yuxiang Shi, Ruiming Tang, Dong Wang |
| 2021 | HCI | Research on In-Vehicle Haptic Interactions as Crucial Resources for Driver Perceptions. | Xin Xin, Yiji Wang, Nan Liu, Wenmin Yang, Hang Dong, Wei Liu |
| 2021 | ICDM | Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training. | Mingyue Cheng, Fajie Yuan, Qi Liu, Xin Xin, Enhong Chen |
| 2021 | MICRO | ParaBit: Processing Parallel Bitwise Operations in NAND Flash Memory based SSDs. | Congming Gao, Xin Xin, Youyou Lu, Youtao Zhang, Jun Yang, Jiwu Shu |
| 2021 | MICRO | SAM: Accelerating Strided Memory Accesses. | Xin Xin, Yanan Guo, Youtao Zhang, Jun Yang |
| 2021 | SIGIR | AutoDebias: Learning to Debias for Recommendation. | Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang |
| 2021 | SIGIR | Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method. | Fuli Feng, Weiran Huang, Xiangnan He, Xin Xin, Qifan Wang, Tat-Seng Chua |
| 2021 | WSDM | Decomposed Collaborative Filtering: Modeling Explicit and Implicit Factors For Recommender Systems. | Hao Chen, Xin Xin, Dong Wang, Yue Ding |
| 2020 | CIKM | TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation. | Bo Chen, Wei Guo, Ruiming Tang, Xin Xin, Yue Ding, Xiuqiang He, Dong Wang |
| 2020 | DAC | Reducing DRAM Access Latency via Helper Rows. | Xin Xin, Youtao Zhang, Jun Yang |
| 2020 | HCI | Research on the Influence of Emotional Valence and Road Environment Monotony on Driving Behavior. | Siyao Lu, Xin Xin, Nan Liu, Yiji Wang, Yanrui Qu |
| 2020 | HPCA | ELP2IM: Efficient and Low Power Bitwise Operation Processing in DRAM. | Xin Xin, Youtao Zhang, Jun Yang |
| 2020 | SMC | An Empirical Study of Pre-trained Embedding on Ultra-Fine Entity Typing. | Yanping Wang, Xin Xin, Ping Guo |
| 2020 | SIGIR | Self-Supervised Reinforcement Learning for Recommender Systems. | Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose |
| 2019 | AAAI | Chinese NER with Height-Limited Constituent Parsing. | Rui Wang, Xin Xin, Wei Chang, Kun Ming, Biao Li, Xin Fan |
| 2019 | CIS | Chinese NER by Span-Level Self-Attention. | Xiaoyu Dong, Xin Xin, Ping Guo |
| 2019 | CIS | Relation Extraction via Attention-Based CNNs using Token-Level Representations. | Yan Wang, Xin Xin, Ping Guo |
| 2019 | DAC | ROC: DRAM-based Processing with Reduced Operation Cycles. | Xin Xin, Youtao Zhang, Jun Yang |
| 2019 | HCI | A Literature Review of the Research on Interaction Mode of Self-driving Cars. | Zhongshi Hu, Xin Xin, Wanting Xu, Yuwei Sun, Zhenyu Jiang, Xiangyu Wang, Yishan Liu, Siyao Lu, Min Zhao |
| 2019 | HCI | A Literature Review of the Research on Take-Over Situation in Autonomous Driving. | Xin Xin, Min Zhao, Moli Zhou, Siyao Lu, Yishan Liu, Daisong Guan, Qianyi Wang, Yuezhou Zhang |
| 2019 | IJCAI | CFM: Convolutional Factorization Machines for Context-Aware Recommendation. | Xin Xin, Bo Chen, Xiangnan He, Dong Wang, Yue Ding, Joemon M. Jose |
| 2019 | SIGIR | Relational Collaborative Filtering: Modeling Multiple Item Relations for Recommendation. | Xin Xin, Xiangnan He, Yongfeng Zhang, Yongdong Zhang, Joemon M. Jose |
| 2018 | ACL | Batch IS NOT Heavy: Learning Word Representations From All Samples. | Xin Xin, Fajie Yuan, Xiangnan He, Joemon M. Jose |
| 2018 | HCI | From Customer Journey to Knowledge Journey: Mapping the Knowledge Journey in Co-design on Public Realm. | Di Shi, Rong Deng, Xin Xin, Yumei Dong |
| 2018 | HCI | Expanding Design Thinking with Methods from Futures Studies. Reflections on a Workshop with Chinese User Experience Students. | Ellen De Vos, Xin Xin, Marina Emmanouil |
| 2018 | HCI | Reflecting on Industrial Partnered and Project Based Master Course of 'UX Foundation'. | Xin Xin, Wei Liu, Menghan Wu |
| 2018 | ISNN | Personalized Response Generation for Customer Service Agents. | Cuihua Ma, Ping Guo, Xin Xin |
| 2018 | ISNN | Review of Pseudoinverse Learning Algorithm for Multilayer Neural Networks and Applications. | Jue Wang, Ping Guo, Xin Xin |
| 2018 | SMC | Listwise Click-Through Rate Prediction with Item-Item Interactions. | Rui Wang, Ping Guo, Xin Fan, Biao Li, Wei Zhang, Xin Xin |
| 2018 | UAI | f | Fajie Yuan, Xin Xin, Xiangnan He, Guibing Guo, Weinan Zhang, Tat-Seng Chua, Joemon M. Jose |
| 2017 | CIS | Extracting Company-Specific Keyphrases from News Media. | Qiang Pan, Ping Guo, Xin Xin, Junshuai Liu |
| 2017 | HCI | Innovation Design in Personal Center Interface of Mobile Application. | Xin Xin, Wei Zhou, Mengfan Li, Haozhi Wang, Han Xu, Yuwei Fan, Weizheng Ma, Di Zhu |
| 2017 | ICTAI | SoGeM: Social Based Generative Model for Top-N Recommendation. | Litian Yin, Dong Wang, Xin Xin, Yue Ding |
| 2017 | IECON | Junction temperature estimation model of insulated gate bipolar transistor power module in three-phase inverter. | Xin Xin, Chengning Zhang |
| 2017 | ISNN | LSTM with Matrix Factorization for Road Speed Prediction. | Jian Hu, Xin Xin, Ping Guo |
| 2017 | ISNN | Collaborative Response Content Recommendation for Customer Service Agents. | Cuihua Ma, Ping Guo, Xin Xin, Xiaoyu Ma, Yanjie Liang, Shaomin Xing, Li Li, Shaozhuang Liu |
| 2017 | MDM | HCoM: Item-Based Similarity Model for Heterogeneous Implicit Feedback. | Lini Chen, Xin Xin, Dong Wong, Yue Ding |
| 2017 | SMC | Predicting the number of driving service orders in fine-grained regions by an ensemble multi-view-based model. | Pei Luo, Xin Xin, Kuai Zhang, Ping Guo, Yang Yu, Zichao Wang |
| 2017 | SMC | Autoencoder, low rank approximation and pseudoinverse learning algorithm. | Ke Wang, Ping Guo, Xin Xin, Zebin Ye |
| 2017 | SMC | Fine-grained news recommendation by fusing matrix factorization, topic analysis and knowledge graph representation. | Kuai Zhang, Xin Xin, Pei Luo, Ping Guo |
| 2016 | APWEB | FHSM: Factored Hybrid Similarity Methods for Top-N Recommender Systems. | Xin Xin, Dong Wang, Yue Ding, Chen Lini |
| 2016 | CIS | A Divide and Conquer Method for Automatic Image Annotation. | Yanjun Li, Ping Guo, Xin Xin |
| 2016 | CIS | Pulsar Candidate Selection by Assembling Positive Sample Emphasized Classifiers. | Yao Yao, Xin Xin, Ping Guo |
| 2016 | ICPR | A rank minimization-based late fusion method for multi-label image annotation. | Yao Yao, Xin Xin, Ping Guo |
| 2016 | IJCNN | A pseudoinverse incremental algorithm for fast training deep neural networks with application to spectra pattern recognition. | Ke Wang, Ping Guo, Qian Yin, A-Li Luo, Xin Xin |
| 2016 | ISNN | Fine-Grained Real Estate Estimation Based on Mixture Models. | Peng Ji, Xin Xin, Ping Guo |
| 2016 | SMC | Deep neural networks with local connectivity and its application to astronomical spectral data. | Ke Wang, Ping Guo, A-Li Luo, Xin Xin, Fuqing Duan |
| 2015 | AAAI | Forecasting Collector Road Speeds Under High Percentage of Missing Data. | Xin Xin, Chunwei Lu, Yashen Wang, Heyan Huang |
| 2015 | ICONIP | Neural Networks with Marginalized Corrupted Hidden Layer. | Yanjun Li, Xin Xin, Ping Guo |
| 2015 | IJCAI | Re-Ranking Voting-Based Answers by Discarding User Behavior Biases. | Xiaochi Wei, Heyan Huang, Chin-Yew Lin, Xin Xin, Xianling Mao, Shangguang Wang |
| 2015 | IJCAI | Cross-Domain Collaborative Filtering with Review Text. | Xin Xin, Zhirun Liu, Chin-Yew Lin, Heyan Huang, Xiaochi Wei, Ping Guo |
| 2015 | KSEM | Novel Approaches for Shop Recommendation in Large Shopping Mall Scenario: From Matrix Factorization to Tensor Decomposition. | Yue Ding, Dong Wang, Xin Xin |
| 2014 | CIS | Domain-Specific Product Named Entity Recognition from Chinese Microblog. | Xianxiang Yang, Heyan Huang, Xin Xin, Quanchao Liu, Xiaochi Wei |
| 2014 | CloudCom | Anomaly Detection through Enhanced Sentiment Analysis on Social Media Data. | Zhaoxia Wang, Victor Joo Chuan Tong, Xin Xin, Hoong Chor Chin |
| 2014 | ICONIP | An Improved Separating Hyperplane Method with Application to Embedded Intelligent Devices. | Yanjun Li, Ping Guo, Xin Xin |
| 2014 | ICONIP | A Nonlinear Cross-Site Transfer Learning Approach for Recommender Systems. | Xin Xin, Zhirun Liu, Heyan Huang |
| 2014 | IJCNN | Supervised topic regression via experts. | Song Lin, Ping Guo, Xin Xin |
| 2014 | PAKDD | Learning to Display in Sponsored Search. | Xin Xin, Heyan Huang |
| 2013 | ICASSP | Forest hashing: Expediting large scale image retrieval. | Jonathan Springer, Xin Xin, Zhu Li, Jeremy Watt, Aggelos K. Katsaggelos |
| 2013 | ICIP | Robust feature selection with self-matching score. | Xin Xin, Zhu Li, Zhan Ma, Aggelos K. Katsaggelos |
| 2013 | PAKDD | Online Cross-Lingual PLSI for Evolutionary Theme Patterns Analysis. | Xin Xin, Kun Zhuang, Ying Fang, Heyan Huang |
| 2013 | WISE | Distinguishing Social Ties in Recommender Systems by Graph-Based Algorithms. | Xiaochi Wei, Heyan Huang, Xin Xin, Xianxiang Yang |
| 2012 | CIKM | Do ads compete or collaborate?: designing click models with full relationship incorporated. | Xin Xin, Irwin King, Ritesh Agrawal, Michael R. Lyu, Heyan Huang |
| 2012 | ICONIP | OMP or BP? A Comparison Study of Image Fusion Based on Joint Sparse Representation. | Yao Yao, Xin Xin, Ping Guo |
| 2011 | DSD | A Configurable Ring-Oscillator-Based PUF for Xilinx FPGAs. | Xin Xin, Jens-Peter Kaps, Kris Gaj |
| 2011 | WSDM | CMAP: effective fusion of quality and relevance for multi-criteria recommendation. | Xin Xin, Michael R. Lyu, Irwin King |
| 2010 | ICIP | A novel image retrieval framework exploring inter cluster distance. | Xin Xin, Aggelos K. Katsaggelos |
| 2009 | CIKM | A social recommendation framework based on multi-scale continuous conditional random fields. | Xin Xin, Irwin King, Hongbo Deng, Michael R. Lyu |
| 2008 | CIKM | Academic conference homepage understanding using constrained hierarchical conditional random fields. | Xin Xin, Juanzi Li, Jie Tang, Qiong Luo |
| 2008 | SMC | Redundancy underlying a gymnastic movement on the high bar. | Taiga Yamasaki, Kiyoshi Gotoh, Masahiro Kaneda, Xin Xin |
| 2001 | IROS | A robust control approach to the swing up control problem for the Acrobot. | Xin Xin, Masahiro Kaneda |