Automatic extraction of linear arranged targets from polarimetric SAR imagery. - Wei Guo 006; Kaimin Fu; Pingping Huang; Wen Yang 001 (IGARSS, 2016)

Power Transmission Tower Series Extraction in PolSAR Image Based on Time-Frequency Analysis and A-Contrario Theory. - Dongqing Peng; Haijian Zhang; Wei Guo 006; Wen Yang 001 (Sensors, 2016)

Bottle Detection in the Wild Using Low-Altitude Unmanned Aerial Vehicles. - Jinwang Wang; Wei Guo 006; Ting Pan; Huai Yu; Lin Duan; Wen Yang 001 (FUSION, 2018)

Geospatial Object Detection in High Resolution Satellite Images Based on Multi-Scale Convolutional Neural Network. - Wei Guo 006; Wen Yang 001; Haijian Zhang; Guang Hua 001 (Remote. Sens., 2018)

Order-aware Embedding Neural Network for CTR Prediction. - Wei Guo 006; Ruiming Tang; Huifeng Guo; Jianhua Han; Wen Yang 001; Yuzhou Zhang (SIGIR, 2019)

TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation. - Bo Chen 023; Wei Guo 006; Ruiming Tang; Xin Xin 003; Yue Ding 001; Xiuqiang He 001; Dong Wang 024 (CIKM, 2020)

GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems. - Yishi Xu; Yingxue Zhang 001; Wei Guo 006; Huifeng Guo; Ruiming Tang; Mark Coates (CIKM, 2020)

Multi-Scale Cascading Network with Compact Feature Learning for RGB-Infrared Person Re-Identification. - Can Zhang 007; Hong Liu; Wei Guo 006; Mang Ye (ICPR, 2020)

A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks. - Jianing Sun; Wei Guo 006; Dengcheng Zhang; Yingxue Zhang 001; Florence Regol; Yaochen Hu 001; Huifeng Guo; Ruiming Tang; Han Yuan; Xiuqiang He 001; Mark Coates (KDD, 2020)

Multi-Branch Convolutional Network for Context-Aware Recommendation. - Wei Guo 006; Can Zhang 007; Huifeng Guo; Ruiming Tang; Xiuqiang He 001 (SIGIR, 2020)

Neighbor Interaction Aware Graph Convolution Networks for Recommendation. - Jianing Sun; Yingxue Zhang 001; Wei Guo 006; Huifeng Guo; Ruiming Tang; Xiuqiang He 001; Chen Ma 001; Mark Coates (SIGIR, 2020)

Dual-attentional Factorization-Machines based Neural Network for User Response Prediction. - Feng Liu 034; Wei Guo 006; Huifeng Guo; Ruiming Tang; Yunming Ye; Xiuqiang He 001 (WWW (Companion Volume), 2020)

Enhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models. - Bo Chen 023; Yichao Wang 002; Zhirong Liu; Ruiming Tang; Wei Guo 006; Hongkun Zheng; Weiwei Yao; Muyu Zhang; Xiuqiang He 001 (CIKM, 2021)

Deep Learning for Click-Through Rate Estimation. - Weinan Zhang 001; Jiarui Qin; Wei Guo 006; Ruiming Tang; Xiuqiang He 001 (IJCAI, 2021)

Dual Graph enhanced Embedding Neural Network for CTR Prediction. - Wei Guo 006; Rong Su 003; Renhao Tan; Huifeng Guo; Yingxue Zhang 001; Zhirong Liu; Ruiming Tang; Xiuqiang He 001 (KDD, 2021)

ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table. - Huifeng Guo; Wei Guo 006; Yong Gao; Ruiming Tang; Xiuqiang He 001; Wenzhi Liu (SIGIR, 2021)

Numerical Feature Representation with Hybrid N-ary Encoding. - Bo Chen 023; Huifeng Guo; Weiwen Liu; Yue Ding 001; Yunzhe Li 001; Wei Guo 006; Yichao Wang 002; Zhicheng He 001; Ruiming Tang; Rui Zhang 003 (CIKM, 2022)

IntTower: The Next Generation of Two-Tower Model for Pre-Ranking System. - Xiangyang Li 004; Bo Chen 023; Huifeng Guo; Jingjie Li; Chenxu Zhu; Xiang Long; Sujian Li; Yichao Wang 002; Wei Guo 006; Longxia Mao; Jinxing Liu; Zhenhua Dong; et al. (CIKM, 2022)

Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks. - Hengyu Zhang 001; Enming Yuan; Wei Guo 006; Zhicheng He 001; Jiarui Qin; Huifeng Guo; Bo Chen 023; Xiu Li 001; Ruiming Tang (CIKM, 2022)

MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction. - Wei Guo 006; Can Zhang 007; Zhicheng He 001; Jiarui Qin; Huifeng Guo; Bo Chen 023; Ruiming Tang; Xiuqiang He 001; Rui Zhang 003 (ICDE, 2022)

Multi-Behavior Sequential Transformer Recommender. - Enming Yuan; Wei Guo 006; Zhicheng He 001; Huifeng Guo; Chengkai Liu; Ruiming Tang (SIGIR, 2022)

Cross Pairwise Ranking for Unbiased Item Recommendation. - Qi Wan; Xiangnan He 001; Xiang Wang 010; Jiancan Wu; Wei Guo 006; Ruiming Tang (WWW, 2022)

DFFM: Domain Facilitated Feature Modeling for CTR Prediction. - Wei Guo 006; Chenxu Zhu; Fan Yan; Bo Chen 023; Weiwen Liu; Huifeng Guo; Hongkun Zheng; Yong Liu 020; Ruiming Tang (CIKM, 2023)

Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems. - Hengchang Hu; Wei Guo 006; Yong Liu 020; Min-Yen Kan (CIKM, 2023)

APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation. - Mingjia Yin; Hao Wang 076; Xiang Xu; Likang Wu; Sirui Zhao; Wei Guo 006; Yong Liu 020; Ruiming Tang; Defu Lian; Enhong Chen (CIKM, 2023)

Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation. - Haolun Wu; Yingxue Zhang 001; Chen Ma 001; Wei Guo 006; Ruiming Tang; Xue Liu 001; Mark Coates (ICDE, 2023)

A Survey on User Behavior Modeling in Recommender Systems. - Zhicheng He 001; Weiwen Liu; Wei Guo 006; Jiarui Qin; Yingxue Zhang 001; Yaochen Hu 001; Ruiming Tang (IJCAI, 2023)

MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction. - Jianghao Lin; Yanru Qu; Wei Guo 006; Xinyi Dai; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (KDD, 2023)

Hierarchical Projection Enhanced Multi-behavior Recommendation. - Chang Meng; Hengyu Zhang 001; Wei Guo 006; Huifeng Guo; Haotian Liu; Yingxue Zhang 001; Hongkun Zheng; Ruiming Tang; Xiu Li 001; Rui Zhang 003 (KDD, 2023)

User Behavior Modeling with Deep Learning for Recommendation: Recent Advances. - Weiwen Liu; Wei Guo 006; Yong Liu 020; Ruiming Tang; Hao Wang 076 (RecSys, 2023)

Compressed Interaction Graph based Framework for Multi-behavior Recommendation. - Wei Guo 006; Chang Meng; Enming Yuan; Zhicheng He 001; Huifeng Guo; Yingxue Zhang 001; Bo Chen 023; Yaochen Hu 001; Ruiming Tang; Xiu Li 001; Rui Zhang 003 (WWW, 2023)

Time-aligned Exposure-enhanced Model for Click-Through Rate Prediction. - Hengyu Zhang 001; Chang Meng; Wei Guo 006; Huifeng Guo; Jieming Zhu; Guangpeng Zhao; Ruiming Tang; Xiu Li 001 (CoRR, 2023)

Enhancing Click-through Rate Prediction in Recommendation Domain with Search Query Representation. - Yuening Wang; Man Chen; Yaochen Hu 001; Wei Guo 006; Yingxue Zhang 001; Huifeng Guo; Yong Liu 020; Mark Coates (CIKM, 2024)

Dataset Regeneration for Sequential Recommendation. - Mingjia Yin; Hao Wang 076; Wei Guo 006; Yong Liu 020; Suojuan Zhang; Sirui Zhao; Defu Lian; Enhong Chen (KDD, 2024)

User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation. - Hengchang Hu; Wei Guo 006; Xu Liu 014; Yong Liu 020; Ruiming Tang; Rui Zhang 003; Min-Yen Kan (WSDM, 2024)

Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. - Yongqiang Han; Hao Wang 076; Kefan Wang; Likang Wu; Zhi Li 057; Wei Guo 006; Yong Liu 020; Defu Lian; Enhong Chen (WWW, 2024)

END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. - Yongqiang Han; Hao Wang 076; Kefan Wang; Likang Wu; Zhi Li 057; Wei Guo 006; Yong Liu 020; Defu Lian; Enhong Chen (CoRR, 2024)

Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation. - Mingjia Yin; Hao Wang 076; Wei Guo 006; Yong Liu 020; Zhi Li 057; Sirui Zhao; Defu Lian; Enhong Chen (CoRR, 2024)

Entropy Law: The Story Behind Data Compression and LLM Performance. - Mingjia Yin; Chuhan Wu; Yufei Wang 005; Hao Wang 076; Wei Guo 006; Yasheng Wang; Yong Liu 020; Ruiming Tang; Defu Lian; Enhong Chen (CoRR, 2024)

All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era. - Bo Chen 023; Xinyi Dai; Huifeng Guo; Wei Guo 006; Weiwen Liu; Yong Liu 020; Jiarui Qin; Ruiming Tang; Yichao Wang 002; Chuhan Wu; Yaxiong Wu 005; Hao Zhang 048 (CoRR, 2024)

Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation. - Hao Wang 076; Yongqiang Han; Kefan Wang; Kai Cheng; Zhen Wang 004; Wei Guo 006; Yong Liu 020; Defu Lian; Enhong Chen (CoRR, 2024)

Enhancing CTR Prediction in Recommendation Domain with Search Query Representation. - Yuening Wang; Chen Ma 001; Yaochen Hu 001; Wei Guo 006; Yingxue Zhang 001; Huifeng Guo; Yong Liu 020; Mark Coates (CoRR, 2024)

Predictive Models in Sequential Recommendations: Bridging Performance Laws with Data Quality Insights. - Tingjia Shen; Hao Wang 076; Chuhan Wu; Jin Yao Chin; Wei Guo 006; Yong Liu 020; Huifeng Guo; Defu Lian; Ruiming Tang; Enhong Chen (CoRR, 2024)

Scaling New Frontiers: Insights into Large Recommendation Models. - Wei Guo 006; Hao Wang 076; Luankang Zhang; Jin Yao Chin; Zhongzhou Liu; Kai Cheng; Qiushi Pan; Yi Quan Lee; Wanqi Xue; Tingjia Shen; Kenan Song; Kefan Wang; et al. (CoRR, 2024)

Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation. - Chang Meng; Ziqi Zhao; Wei Guo 006; Yingxue Zhang 001; Haolun Wu; Chen Gao 001; Dong Li 016; Xiu Li 001; Ruiming Tang (ACM Trans. Inf. Syst., 2024)

Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction. - Xiang Xu; Hao Wang 076; Wei Guo 006; Luankang Zhang; Wanshan Yang; Runlong Yu; Yong Liu 020; Defu Lian; Enhong Chen (KDD (1), 2025)

DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction. - Kefan Wang; Hao Wang 076; Wei Guo 006; Yong Liu 020; Jianghao Lin; Defu Lian; Enhong Chen (SIGIR, 2025)

Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model. - Luankang Zhang; Kenan Song; Yi Quan Lee; Wei Guo 006; Hao Wang 076; Yawen Li 001; Huifeng Guo; Yong Liu 020; Defu Lian; Enhong Chen (SIGIR, 2025)

Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation. - Hao Wang 076; Wei Guo 006; Luankang Zhang; Jin Yao Chin; Yufei Ye; Huifeng Guo; Yong Liu 020; Defu Lian; Ruiming Tang; Enhong Chen (WWW (Companion Volume), 2025)

FuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer. - Yufei Ye; Wei Guo 006; Jin Yao Chin; Hao Wang 076; Hong Zhu 003; Xi Lin; Yuyang Ye 002; Yong Liu 020; Ruiming Tang; Defu Lian; Enhong Chen (WWW (Companion Volume), 2025)

MIT: A Multi-Tower Information Transfer Framework Based on Hierarchical Task Relationship Modeling. - Rui Zhou; Hao Wang 076; Wei Guo 006; Qinglin Jia; Wenjia Xie; Xiang Xu; Yong Liu 020; Defu Lian; Enhong Chen (WWW (Companion Volume), 2025)

A Universal Framework for Compressing Embeddings in CTR Prediction. - Kefan Wang; Hao Wang 076; Kenan Song; Wei Guo 006; Kai Cheng; Zhi Li 057; Yong Liu 020; Defu Lian; Enhong Chen (CoRR, 2025)

Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs. - Yichun Yin; Wenyong Huang; Kaikai Song; Yehui Tang; Xueyu Wu; Wei Guo 006; Peng Guo; Yaoyuan Wang; Xiaojun Meng; Yasheng Wang; Dong Li 016; Can Chen; et al. (CoRR, 2025)

Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs. - Yehui Tang; Yichun Yin; Yaoyuan Wang; Hang Zhou; Yu Pan; Wei Guo 006; Zhiguo Zhang; Miao Rang; Fangcheng Liu; Naifu Zhang; Binghan Li; Yonghan Dong; et al. (CoRR, 2025)

Pangu Pro MoE: Mixture of Grouped Experts for Efficient Sparsity. - Yehui Tang; Xiaosong Li; Fangcheng Liu; Wei Guo 006; Hang Zhou; Yaoyuan Wang; Kai Han 002; Xianzhi Yu; Jinpeng Li 004; Hui Zang; Fei Mi; Xiaojun Meng; et al. (CoRR, 2025)

Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent. - Haocheng Yu; Yaxiong Wu 005; Hao Wang 076; Wei Guo 006; Yong Liu 020; Yawen Li 001; Yuyang Ye 002; Junping Du 001; Enhong Chen (CoRR, 2025)

CoSteer: Collaborative Decoding-Time Personalization via Local Delta Steering. - Hang Lv 012; Sheng Liang; Hao Wang 076; Hongchao Gu; Yaxiong Wu 005; Wei Guo 006; Defu Lian; Yong Liu 020; Enhong Chen (CoRR, 2025)

FuXi-β: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model. - Yufei Ye; Wei Guo 006; Hao Wang 076; Hong Zhu 003; Yuyang Ye 002; Yong Liu 020; Huifeng Guo; Ruiming Tang; Defu Lian; Enhong Chen (CoRR, 2025)

Revisiting scalable sequential recommendation with Multi-Embedding Approach and Mixture-of-Experts. - Qiushi Pan; Hao Wang 076; Guoyuan An; Luankang Zhang; Wei Guo 006; Yong Liu 020 (CoRR, 2025)