Wei Guo - RankMe

97 papers A* 20A 13B 1C 2Journal 52Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	Accelerating Generative Recommendation via Simple Categorical User Sequence Compression. WSDM Qijiong Liu, Lu Fan, Zhongzhou Liu, Xiaoyu Dong, Yuankai Luo, Guoyuan An, Nuo Chen, Wei Guo, Yong Liu, Xiao-Ming Wu
2026	J	`jnl`	Accelerating Generative Recommendation via Simple Categorical User Sequence Compression. CoRR Qijiong Liu, Lu Fan, Zhongzhou Liu, Xiaoyu Dong, Yuankai Luo, Guoyuan An, Nuo Chen, Wei Guo, Yong Liu, Xiao-Ming Wu
2026	J	`jnl`	Can Recommender Systems Teach Themselves? A Recursive Self-Improving Framework with Fidelity Control. CoRR Luankang Zhang, Hao Wang, Zhongzhou Liu, Mingjia Yin, Yonghao Huang, Jiaqi Li, Wei Guo, Yong Liu, Huifeng Guo, Defu Lian, Enhong Chen
2026	J	`jnl`	Efficient Personalized Reranking with Semi-Autoregressive Generation and Online Knowledge Distillation. CoRR Kai Chen, Hao Wang, Wei Guo, Weiwen Liu, Yong Liu, Yawen Li, Enhong Chen
2026	J	`jnl`	FuXi-Linear: Unleashing the Power of Linear Attention in Long-term Time-aware Sequential Recommendation. CoRR Yufei Ye, Wei Guo, Hao Wang, Luankang Zhang, Heng Chang, Hong Zhu, Yuyang Ye, Yong Liu, Defu Lian, Enhong Chen
2026	—	`conf`	FuXi-γ: Efficient Sequential Recommendation with Exponential-Power Temporal Encoder and Diagonal-Sparse Positional Mechanism. KDD (1) Dezhi Yi, Wei Guo, Wenyang Cui, Wenxuan He, Huifeng Guo, Yong Liu, Zhenhua Dong, Ye Lu
2026	A*	`conf`	Generative Data Transformation: From Mixed to Unified Data. WWW Jiaqing Zhang, Mingjia Yin, Hao Wang, Yuxin Tian, Yuyang Ye, Yawen Li, Wei Guo, Yong Liu, Enhong Chen
2026	J	`jnl`	Generative Data Transformation: From Mixed to Unified Data. CoRR Jiaqing Zhang, Mingjia Yin, Hao Wang, Yuxin Tian, Yuyang Ye, Yawen Li, Wei Guo, Yong Liu, Enhong Chen
2026	J	`jnl`	SpecSteer: Synergizing Local Context and Global Reasoning for Efficient Personalized Generation. CoRR Hang Lv, Sheng Liang, Hao Wang, Yongyue Zhang, Hongchao Gu, Wei Guo, Defu Lian, Yong Liu, Enhong Chen
2026	J	`jnl`	The Next Paradigm Is User-Centric Agent, Not Platform-Centric Service. CoRR Luankang Zhang, Hang Lv, Qiushi Pan, Kefen Wang, Yonghao Huang, Xinrui Miao, Yin Xu, Wei Guo, Yong Liu, Hao Wang, Enhong Chen
2026	—	`conf`	Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent. KDD (1) Haocheng Yu, Yaxiong Wu, Hao Wang, Wei Guo, Yong Liu, Yawen Li, Yuyang Ye, Junping Du, Enhong Chen
2025	—	`conf`	A Universal Framework for Compressing Embeddings in CTR Prediction. DASFAA (2) Kefan Wang, Hao Wang, Kenan Song, Wei Guo, Kai Cheng, Zhi Li, Yong Liu, Defu Lian, Enhong Chen
2025	J	`jnl`	A Universal Framework for Compressing Embeddings in CTR Prediction. CoRR Kefan Wang, Hao Wang, Kenan Song, Wei Guo, Kai Cheng, Zhi Li, Yong Liu, Defu Lian, Enhong Chen
2025	J	`jnl`	Benchmarking LLMs in Recommendation Tasks: A Comparative Evaluation with Conventional Recommenders. CoRR Qijiong Liu, Jieming Zhu, Lu Fan, Kun Wang, Hengchang Hu, Wei Guo, Yong Liu, Xiao-Ming Wu
2025	—	`conf`	Breaking the Bottleneck: User-Specific Optimization and Real-Time Inference Integration for Sequential Recommendation. KDD (2) Wenjia Xie, Hao Wang, Minghao Fang, Ruize Yu, Wei Guo, Yong Liu, Defu Lian, Enhong Chen
2025	J	`jnl`	CoSteer: Collaborative Decoding-Time Personalization via Local Delta Steering. CoRR Hang Lv, Sheng Liang, Hao Wang, Hongchao Gu, Yaxiong Wu, Wei Guo, Defu Lian, Yong Liu, Enhong Chen
2025	A*	`conf`	DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction. SIGIR Kefan Wang, Hao Wang, Wei Guo, Yong Liu, Jianghao Lin, Defu Lian, Enhong Chen
2025	J	`jnl`	DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction. CoRR Kefan Wang, Hao Wang, Wei Guo, Yong Liu, Jianghao Lin, Defu Lian, Enhong Chen
2025	J	`jnl`	E-CARE: An Efficient LLM-based Commonsense-Augmented Framework for E-Commerce. CoRR Ge Zhang, Rohan Deepak Ajwani, Tony Zheng, Hongjian Gu, Yaochen Hu, Wei Guo, Mark Coates, Yingxue Zhang
2025	—	`conf`	FuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer. WWW (Companion Volume) Yufei Ye, Wei Guo, Jin Yao Chin, Hao Wang, Hong Zhu, Xi Lin, Yuyang Ye, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen
2025	J	`jnl`	FuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer. CoRR Yufei Ye, Wei Guo, Jin Yao Chin, Hao Wang, Hong Zhu, Xi Lin, Yuyang Ye, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen
2025	J	`jnl`	FuXi-β: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model. CoRR Yufei Ye, Wei Guo, Hao Wang, Hong Zhu, Yuyang Ye, Yong Liu, Huifeng Guo, Ruiming Tang, Defu Lian, Enhong Chen
2025	J	`jnl`	FuXi-γ: Efficient Sequential Recommendation with Exponential-Power Temporal Encoder and Diagonal-Sparse Positional Mechanism. CoRR Dezhi Yi, Wei Guo, Wenyang Cui, Wenxuan He, Huifeng Guo, Yong Liu, Zhenhua Dong, Ye Lu
2025	—	`conf`	Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation. WWW (Companion Volume) Hao Wang, Wei Guo, Luankang Zhang, Jin Yao Chin, Yufei Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang, Enhong Chen
2025	J	`jnl`	Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation. CoRR Hao Wang, Wei Guo, Luankang Zhang, Jin Yao Chin, Yufei Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang, Enhong Chen
2025	A*	`conf`	Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model. SIGIR Luankang Zhang, Kenan Song, Yi Quan Lee, Wei Guo, Hao Wang, Yawen Li, Huifeng Guo, Yong Liu, Defu Lian, Enhong Chen
2025	J	`jnl`	Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model. CoRR Luankang Zhang, Kenan Song, Yi Quan Lee, Wei Guo, Hao Wang, Yawen Li, Huifeng Guo, Yong Liu, Defu Lian, Enhong Chen
2025	—	`conf`	MIT: A Multi-Tower Information Transfer Framework Based on Hierarchical Task Relationship Modeling. WWW (Companion Volume) Rui Zhou, Hao Wang, Wei Guo, Qinglin Jia, Wenjia Xie, Xiang Xu, Yong Liu, Defu Lian, Enhong Chen
2025	—	`conf`	Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction. KDD (1) Xiang Xu, Hao Wang, Wei Guo, Luankang Zhang, Wanshan Yang, Runlong Yu, Yong Liu, Defu Lian, Enhong Chen
2025	J	`jnl`	Pangu Pro MoE: Mixture of Grouped Experts for Efficient Sparsity. CoRR Yehui Tang, Xiaosong Li, Fangcheng Liu, Wei Guo, Hang Zhou, Yaoyuan Wang, Kai Han, Xianzhi Yu, Jinpeng Li, Hui Zang, Fei Mi, Xiaojun Meng, Zhicheng Liu, Hanting Chen, Binfan Zheng, Can Chen, Youliang Yan, Ruiming Tang, Peifeng Qin, Xinghao Chen, Dacheng Tao, Yunhe Wang
2025	J	`jnl`	Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs. CoRR Yehui Tang, Yichun Yin, Yaoyuan Wang, Hang Zhou, Yu Pan, Wei Guo, Zhiguo Zhang, Miao Rang, Fangcheng Liu, Naifu Zhang, Binghan Li, Yonghan Dong, Xiaojun Meng, Yasheng Wang, Dong Li, Yin Li, Dandan Tu, Can Chen, Youliang Yan, Fisher Yu, Ruiming Tang, Yunhe Wang, Botian Huang, Bo Wang, Boxiao Liu, Changzheng Zhang, Da Kuang, Fei Liu, Gang Huang, Jiansheng Wei, Jiarui Qin, Jie Ran, Jinpeng Li, Jun Zhao, Liang Dai, Lin Li, Liqun Deng, Peifeng Qin, Pengyuan Zeng, Qiang Gu, Shaohua Tang, Shengjun Cheng, Tao Gao, Tao Yu, Tianshu Li, Tianyu Bi, Wei He, Weikai Mao, Wenyong Huang, Wulong Liu, Xiabing Li, Xianzhi Yu, Xueyu Wu, Xu He, Yangkai Du, Yan Xu, Ye Tian, Yimeng Wu, Yongbing Huang, Yong Tian, Yong Zhu, Yue Li, Yufei Wang, Yuhang Gai, Yujun Li, Yu Luo, Yunsheng Ni, Yusen Sun, Zelin Chen, Zhe Liu, Zhicheng Liu, Zhipeng Tu, Zilin Ding, Zongyuan Zhan
2025	J	`jnl`	Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs. CoRR Yichun Yin, Wenyong Huang, Kaikai Song, Yehui Tang, Xueyu Wu, Wei Guo, Peng Guo, Yaoyuan Wang, Xiaojun Meng, Yasheng Wang, Dong Li, Can Chen, Dandan Tu, Yin Li, Fisher Yu, Ruiming Tang, Yunhe Wang, Baojun Wang, Bin Wang, Bo Wang, Boxiao Liu, Changzheng Zhang, Duyu Tang, Fei Mi, Hui Jin, Jiansheng Wei, Jiarui Qin, Jinpeng Li, Jun Zhao, Liqun Deng, Lin Li, Minghui Xu, Naifu Zhang, Nianzu Zheng, Qiang Li, Rongju Ruan, Shengjun Cheng, Tianyu Guo, Wei He, Wei Li, Weiwen Liu, Wulong Liu, Xinyi Dai, Yonghan Dong, Yu Pan, Yue Li, Yufei Wang, Yujun Li, Yunsheng Ni, Zhe Liu, Zhenhe Zhang, Zhicheng Liu
2025	J	`jnl`	Revisiting scalable sequential recommendation with Multi-Embedding Approach and Mixture-of-Experts. CoRR Qiushi Pan, Hao Wang, Guoyuan An, Luankang Zhang, Wei Guo, Yong Liu
2025	J	`jnl`	Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent. CoRR Haocheng Yu, Yaxiong Wu, Hao Wang, Wei Guo, Yong Liu, Yawen Li, Yuyang Ye, Junping Du, Enhong Chen
2024	J	`jnl`	All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era. CoRR Bo Chen, Xinyi Dai, Huifeng Guo, Wei Guo, Weiwen Liu, Yong Liu, Jiarui Qin, Ruiming Tang, Yichao Wang, Chuhan Wu, Yaxiong Wu, Hao Zhang
2024	J	`jnl`	Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation. ACM Trans. Inf. Syst. Chang Meng, Ziqi Zhao, Wei Guo, Yingxue Zhang, Haolun Wu, Chen Gao, Dong Li, Xiu Li, Ruiming Tang
2024	A*	`conf`	Dataset Regeneration for Sequential Recommendation. KDD Mingjia Yin, Hao Wang, Wei Guo, Yong Liu, Suojuan Zhang, Sirui Zhao, Defu Lian, Enhong Chen
2024	J	`jnl`	Dataset Regeneration for Sequential Recommendation. CoRR Mingjia Yin, Hao Wang, Wei Guo, Yong Liu, Suojuan Zhang, Sirui Zhao, Defu Lian, Enhong Chen
2024	J	`jnl`	Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation. CoRR Hao Wang, Yongqiang Han, Kefan Wang, Kai Cheng, Zhen Wang, Wei Guo, Yong Liu, Defu Lian, Enhong Chen
2024	J	`jnl`	END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. CoRR Yongqiang Han, Hao Wang, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong Liu, Defu Lian, Enhong Chen
2024	A*	`conf`	Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. WWW Yongqiang Han, Hao Wang, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong Liu, Defu Lian, Enhong Chen
2024	J	`jnl`	Enhancing CTR Prediction in Recommendation Domain with Search Query Representation. CoRR Yuening Wang, Chen Ma, Yaochen Hu, Wei Guo, Yingxue Zhang, Huifeng Guo, Yong Liu, Mark Coates
2024	A	`conf`	Enhancing Click-through Rate Prediction in Recommendation Domain with Search Query Representation. CIKM Yuening Wang, Man Chen, Yaochen Hu, Wei Guo, Yingxue Zhang, Huifeng Guo, Yong Liu, Mark Coates
2024	J	`jnl`	Entropy Law: The Story Behind Data Compression and LLM Performance. CoRR Mingjia Yin, Chuhan Wu, Yufei Wang, Hao Wang, Wei Guo, Yasheng Wang, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen
2024	J	`jnl`	Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation. CoRR Mingjia Yin, Hao Wang, Wei Guo, Yong Liu, Zhi Li, Sirui Zhao, Defu Lian, Enhong Chen
2024	J	`jnl`	Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction. CoRR Xiang Xu, Hao Wang, Wei Guo, Luankang Zhang, Wanshan Yang, Runlong Yu, Yong Liu, Defu Lian, Enhong Chen
2024	J	`jnl`	Predictive Models in Sequential Recommendations: Bridging Performance Laws with Data Quality Insights. CoRR Tingjia Shen, Hao Wang, Chuhan Wu, Jin Yao Chin, Wei Guo, Yong Liu, Huifeng Guo, Defu Lian, Ruiming Tang, Enhong Chen
2024	J	`jnl`	Scaling New Frontiers: Insights into Large Recommendation Models. CoRR Wei Guo, Hao Wang, Luankang Zhang, Jin Yao Chin, Zhongzhou Liu, Kai Cheng, Qiushi Pan, Yi Quan Lee, Wanqi Xue, Tingjia Shen, Kenan Song, Kefan Wang, Wenjia Xie, Yuyang Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang, Enhong Chen
2024	A	`conf`	User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation. WSDM Hengchang Hu, Wei Guo, Xu Liu, Yong Liu, Ruiming Tang, Rui Zhang, Min-Yen Kan
2023	A*	`conf`	A Survey on User Behavior Modeling in Recommender Systems. IJCAI Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, Ruiming Tang
2023	J	`jnl`	A Survey on User Behavior Modeling in Recommender Systems. CoRR Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, Ruiming Tang
2023	A	`conf`	APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation. CIKM Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen
2023	J	`jnl`	APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation. CoRR Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen
2023	A	`conf`	Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems. CIKM Hengchang Hu, Wei Guo, Yong Liu, Min-Yen Kan
2023	J	`jnl`	Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems. CoRR Hengchang Hu, Wei Guo, Yong Liu, Min-Yen Kan
2023	A*	`conf`	Compressed Interaction Graph based Framework for Multi-behavior Recommendation. WWW Wei Guo, Chang Meng, Enming Yuan, Zhicheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu Li, Rui Zhang
2023	J	`jnl`	Compressed Interaction Graph based Framework for Multi-behavior Recommendation. CoRR Wei Guo, Chang Meng, Enming Yuan, Zhicheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu Li, Rui Zhang
2023	A	`conf`	DFFM: Domain Facilitated Feature Modeling for CTR Prediction. CIKM Wei Guo, Chenxu Zhu, Fan Yan, Bo Chen, Weiwen Liu, Huifeng Guo, Hongkun Zheng, Yong Liu, Ruiming Tang
2023	A*	`conf`	Hierarchical Projection Enhanced Multi-behavior Recommendation. KDD Chang Meng, Hengyu Zhang, Wei Guo, Huifeng Guo, Haotian Liu, Yingxue Zhang, Hongkun Zheng, Ruiming Tang, Xiu Li, Rui Zhang
2023	A*	`conf`	Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation. ICDE Haolun Wu, Yingxue Zhang, Chen Ma, Wei Guo, Ruiming Tang, Xue Liu, Mark Coates
2023	A*	`conf`	MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction. KDD Jianghao Lin, Yanru Qu, Wei Guo, Xinyi Dai, Ruiming Tang, Yong Yu, Weinan Zhang
2023	J	`jnl`	MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction. CoRR Jianghao Lin, Yanru Qu, Wei Guo, Xinyi Dai, Ruiming Tang, Yong Yu, Weinan Zhang
2023	J	`jnl`	Time-aligned Exposure-enhanced Model for Click-Through Rate Prediction. CoRR Hengyu Zhang, Chang Meng, Wei Guo, Huifeng Guo, Jieming Zhu, Guangpeng Zhao, Ruiming Tang, Xiu Li
2023	A	`conf`	User Behavior Modeling with Deep Learning for Recommendation: Recent Advances. RecSys Weiwen Liu, Wei Guo, Yong Liu, Ruiming Tang, Hao Wang
2022	J	`jnl`	Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation. CoRR Chang Meng, Ziqi Zhao, Wei Guo, Yingxue Zhang, Haolun Wu, Chen Gao, Dong Li, Xiu Li, Ruiming Tang
2022	A*	`conf`	Cross Pairwise Ranking for Unbiased Item Recommendation. WWW Qi Wan, Xiangnan He, Xiang Wang, Jiancan Wu, Wei Guo, Ruiming Tang
2022	J	`jnl`	Cross Pairwise Ranking for Unbiased Item Recommendation. CoRR Qi Wan, Xiangnan He, Xiang Wang, Jiancan Wu, Wei Guo, Ruiming Tang
2022	A	`conf`	Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks. CIKM Hengyu Zhang, Enming Yuan, Wei Guo, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Xiu Li, Ruiming Tang
2022	J	`jnl`	Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks. CoRR Hengyu Zhang, Enming Yuan, Wei Guo, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Xiu Li, Ruiming Tang
2022	A	`conf`	IntTower: The Next Generation of Two-Tower Model for Pre-Ranking System. CIKM Xiangyang Li, Bo Chen, Huifeng Guo, Jingjie Li, Chenxu Zhu, Xiang Long, Sujian Li, Yichao Wang, Wei Guo, Longxia Mao, Jinxing Liu, Zhenhua Dong, Ruiming Tang
2022	J	`jnl`	IntTower: the Next Generation of Two-Tower Model for Pre-Ranking System. CoRR Xiangyang Li, Bo Chen, Huifeng Guo, Jingjie Li, Chenxu Zhu, Xiang Long, Sujian Li, Yichao Wang, Wei Guo, Longxia Mao, Jinxing Liu, Zhenhua Dong, Ruiming Tang
2022	J	`jnl`	Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation. CoRR Haolun Wu, Yingxue Zhang, Chen Ma, Wei Guo, Ruiming Tang, Xue Liu, Mark Coates
2022	A*	`conf`	MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction. ICDE Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang
2022	A*	`conf`	Multi-Behavior Sequential Transformer Recommender. SIGIR Enming Yuan, Wei Guo, Zhicheng He, Huifeng Guo, Chengkai Liu, Ruiming Tang
2022	A	`conf`	Numerical Feature Representation with Hybrid CIKM Bo Chen, Huifeng Guo, Weiwen Liu, Yue Ding, Yunzhe Li, Wei Guo, Yichao Wang, Zhicheng He, Ruiming Tang, Rui Zhang
2021	A*	`conf`	Deep Learning for Click-Through Rate Estimation. IJCAI Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He
2021	J	`jnl`	Deep Learning for Click-Through Rate Estimation. CoRR Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He
2021	A*	`conf`	Dual Graph enhanced Embedding Neural Network for CTR Prediction. KDD Wei Guo, Rong Su, Renhao Tan, Huifeng Guo, Yingxue Zhang, Zhirong Liu, Ruiming Tang, Xiuqiang He
2021	J	`jnl`	Dual Graph enhanced Embedding Neural Network for CTR Prediction. CoRR Wei Guo, Rong Su, Renhao Tan, Huifeng Guo, Yingxue Zhang, Zhirong Liu, Ruiming Tang, Xiuqiang He
2021	A	`conf`	Enhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models. CIKM Bo Chen, Yichao Wang, Zhirong Liu, Ruiming Tang, Wei Guo, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Xiuqiang He
2021	J	`jnl`	MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction. CoRR Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang
2021	A*	`conf`	ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table. SIGIR Huifeng Guo, Wei Guo, Yong Gao, Ruiming Tang, Xiuqiang He, Wenzhi Liu
2021	J	`jnl`	ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table. CoRR Huifeng Guo, Wei Guo, Yong Gao, Ruiming Tang, Xiuqiang He, Wenzhi Liu
2020	A*	`conf`	A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks. KDD Jianing Sun, Wei Guo, Dengcheng Zhang, Yingxue Zhang, Florence Regol, Yaochen Hu, Huifeng Guo, Ruiming Tang, Han Yuan, Xiuqiang He, Mark Coates
2020	—	`conf`	Dual-attentional Factorization-Machines based Neural Network for User Response Prediction. WWW (Companion Volume) Feng Liu, Wei Guo, Huifeng Guo, Ruiming Tang, Yunming Ye, Xiuqiang He
2020	A	`conf`	GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems. CIKM Yishi Xu, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Mark Coates
2020	J	`jnl`	GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems. CoRR Yishi Xu, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Mark Coates
2020	A*	`conf`	Multi-Branch Convolutional Network for Context-Aware Recommendation. SIGIR Wei Guo, Can Zhang, Huifeng Guo, Ruiming Tang, Xiuqiang He
2020	B	`conf`	Multi-Scale Cascading Network with Compact Feature Learning for RGB-Infrared Person Re-Identification. ICPR Can Zhang, Hong Liu, Wei Guo, Mang Ye
2020	J	`jnl`	Multi-Scale Cascading Network with Compact Feature Learning for RGB-Infrared Person Re-Identification. CoRR Can Zhang, Hong Liu, Wei Guo, Mang Ye
2020	A*	`conf`	Neighbor Interaction Aware Graph Convolution Networks for Recommendation. SIGIR Jianing Sun, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Xiuqiang He, Chen Ma, Mark Coates
2020	A	`conf`	TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation. CIKM Bo Chen, Wei Guo, Ruiming Tang, Xin Xin, Yue Ding, Xiuqiang He, Dong Wang
2019	A*	`conf`	Order-aware Embedding Neural Network for CTR Prediction. SIGIR Wei Guo, Ruiming Tang, Huifeng Guo, Jianhua Han, Wen Yang, Yuzhou Zhang
2018	C	`conf`	Bottle Detection in the Wild Using Low-Altitude Unmanned Aerial Vehicles. FUSION Jinwang Wang, Wei Guo, Ting Pan, Huai Yu, Lin Duan, Wen Yang
2018	J	`jnl`	Geospatial Object Detection in High Resolution Satellite Images Based on Multi-Scale Convolutional Neural Network. Remote. Sens. Wei Guo, Wen Yang, Haijian Zhang, Guang Hua
2016	C	`conf`	Automatic extraction of linear arranged targets from polarimetric SAR imagery. IGARSS Wei Guo, Kaimin Fu, Pingping Huang, Wen Yang
2016	J	`jnl`	Power Transmission Tower Series Extraction in PolSAR Image Based on Time-Frequency Analysis and A-Contrario Theory. Sensors Dongqing Peng, Haijian Zhang, Wei Guo, Wen Yang