A Scalable Approach for General Correlation Clustering. - Yubo Wang; Linli Xu; Yucheng Chen; Hao Wang 076 (ADMA (2), 2013)

A Dataset for Research on Short-Text Conversations. - Hao Wang 076; Zhengdong Lu; Hang Li 001; Enhong Chen (EMNLP, 2013)

Influential nodes selection: a data reconstruction perspective. - Zhefeng Wang 001; Hao Wang 076; Qi Liu 003; Enhong Chen (SIGIR, 2014)

Solving link-oriented tasks in signed network via an embedding approach. - Dongfang Du; Hao Wang 076; Tong Xu 001; Yanan Lu; Qi Liu 003; Enhong Chen (SMC, 2017)

Patent Quality Valuation with Deep Learning Models. - Hongjie Lin; Hao Wang 076; Dongfang Du; Han Wu 002; Biao Chang; Enhong Chen (DASFAA (2), 2018)

A United Approach to Learning Sparse Attributed Network Embedding. - Hao Wang 076; Enhong Chen; Qi Liu 003; Tong Xu 001; Dongfang Du; Wen Su; Xiaopeng Zhang (ICDM, 2018)

MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network. - Hao Wang 076; Tong Xu 001; Qi Liu 003; Defu Lian; Enhong Chen; Dongfang Du; Han Wu 002; Wen Su (KDD, 2019)

Author Contributed Representation for Scholarly Network. - Binglei Wang; Tong Xu 001; Hao Wang 076; Yanmin Chen; Le Zhang 010; Lintao Fang; Guiquan Liu; Enhong Chen (APWeb/WAIM (1), 2020)

Technical Phrase Extraction for Patent Mining: A Multi-level Approach. - Ye Liu 011; Han Wu 002; Zhenya Huang; Hao Wang 076; Jianhui Ma; Qi Liu 003; Enhong Chen; Hanqing Tao; Ke Rui (ICDM, 2020)

ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction. - Zhongkai Hao; Chengqiang Lu; Zhenya Huang; Hao Wang 076; Zheyuan Hu 002; Qi Liu 003; Enhong Chen; Cheekong Lee (KDD, 2020)

Neural Mathematical Solver with Enhanced Formula Structure. - Zhenya Huang; Qi Liu 003; Weibo Gao; Jinze Wu; Yu Yin 002; Hao Wang 076; Enhong Chen (SIGIR, 2020)

HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem. - Xin Lin 005; Zhenya Huang; Hongke Zhao; Enhong Chen; Qi Liu 003; Hao Wang 076; Shijin Wang 001 (AAAI, 2021)

GraphMI: Extracting Private Graph Data from Graph Neural Networks. - Zaixi Zhang; Qi Liu 003; Zhenya Huang; Hao Wang 076; Chengqiang Lu; Chuanren Liu; Enhong Chen (IJCAI, 2021)

DisenQNet: Disentangled Representation Learning for Educational Questions. - Zhenya Huang; Xin Lin 005; Hao Wang 076; Qi Liu 003; Enhong Chen; Jianhui Ma; Yu Su 002; Wei Tong (KDD, 2021)

Motif-based Graph Self-Supervised Learning for Molecular Property Prediction. - Zaixi Zhang; Qi Liu 003; Hao Wang 076; Chengqiang Lu; Chee-Kong Lee (NeurIPS, 2021)

xLightFM: Extremely Memory-Efficient Factorization Machine. - Gangwei Jiang; Hao Wang 076; Jin Chen 008; Haoyu Wang 004; Defu Lian; Enhong Chen (SIGIR, 2021)

Federated Deep Knowledge Tracing. - Jinze Wu; Zhenya Huang; Qi Liu 003; Defu Lian; Hao Wang 076; Enhong Chen; Haiping Ma; Shijin Wang 001 (WSDM, 2021)

Hierarchical Personalized Federated Learning for User Modeling. - Jinze Wu; Qi Liu 003; Zhenya Huang; Yuting Ning; Hao Wang 076; Enhong Chen; Jinfeng Yi; Bowen Zhou 001 (WWW, 2021)

ProtGNN: Towards Self-Explaining Graph Neural Networks. - Zaixi Zhang; Qi Liu 003; Hao Wang 076; Chengqiang Lu; Cheekong Lee (AAAI, 2022)

Dependency and Association Enhanced Finding Similar Exercises in Online Education System. - Zihang Tang; Hao Wang 076; Weibo Gao; Zhenya Huang; Qi Liu 003; Jun Yu 011 (CCIS, 2022)

A Hyperbolic-to-Hyperbolic User Representation with Multi-aspect for Social Recommendation. - Hang Zhang; Hao Wang 076; Guifeng Wang; Jiayu Liu 001; Qi Liu 003 (CIKM, 2022)

ABPN: Apex and Boundary Perception Network for Micro- and Macro-Expression Spotting. - Wenhao Leng; Sirui Zhao; Yiming Zhang; Shifeng Liu; Xinglong Mao; Hao Wang 076; Tong Xu 001; Enhong Chen (ACM Multimedia, 2022)

Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction. - Likang Wu; Hao Wang 076; Enhong Chen; Zhi Li 057; Hongke Zhao; Jianhui Ma (SIGIR, 2022)

Clustering based Behavior Sampling with Long Sequential Data for CTR Prediction. - Yuren Zhang; Enhong Chen; Binbin Jin; Hao Wang 076; Min Hou; Wei Huang 002; Runlong Yu (SIGIR, 2022)

Winning the CVPR'2022 AQTC Challenge: A Two-stage Function-centric Approach. - Shiwei Wu; Weidong He; Tong Xu 001; Hao Wang 076; Enhong Chen (CoRR, 2022)

ME-PLAN: A deep prototypical learning with local attention network for dynamic micro-expression recognition. - Sirui Zhao; Huaying Tang; Shifeng Liu; Yangsong Zhang; Hao Wang 076; Tong Xu 001; Enhong Chen; Cuntai Guan (Neural Networks, 2022)

Causal Narrative Comprehension: A New Perspective for Emotion Cause Extraction. - Wei Cao; Kun Zhang 015; Shulan Ruan; Hanqing Tao; Sirui Zhao; Hao Wang 076; Qi Liu 003; Enhong Chen (IEEE Trans. Affect. Comput., 2022)

HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation. - Hao Wang 076; Defu Lian; Hanghang Tong; Qi Liu 003; Zhenya Huang; Enhong Chen (ACM Trans. Inf. Syst., 2022)

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)

GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation. - Yongqiang Han; Likang Wu; Hao Wang 076; Guifeng Wang; Mengdi Zhang 002; Zhi Li 057; Defu Lian; Enhong Chen (DASFAA (2), 2023)

Adaptive Graph Attention Network with Temporal Fusion for Micro-Expressions Recognition. - Yiming Zhang; Hao Wang 076; Yifan Xu; Xinglong Mao; Tong Xu 001; Sirui Zhao; Enhong Chen (ICME, 2023)

KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification. - Likang Wu; Junji Jiang; Hongke Zhao; Hao Wang 076; Defu Lian; Mengdi Zhang 002; Enhong Chen (IJCAI, 2023)

STAN: Spatial-Temporal Awareness Network for Temporal Action Detection. - Minghao Liu; Haiyi Liu; Sirui Zhao; Fei Ma 006; Minglei Li 001; Zonghong Dai; Hao Wang 076; Tong Xu 001; Enhong Chen (MMSports@MM, 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)

Leveraging Transferable Knowledge Concept Graph Embedding for Cold-Start Cognitive Diagnosis. - Weibo Gao; Hao Wang 076; Qi Liu 003; Fei Wang 063; Xin Lin 005; Linan Yue; Zheng Zhang 048; Rui Lv; Shijin Wang 001 (SIGIR, 2023)

Differentiable Optimized Product Quantization and Beyond. - Zepu Lu; Defu Lian; Jin Zhang 035; Zaixi Zhang; Chao Feng 008; Hao Wang 076; Enhong Chen (WWW, 2023)

More is Better: A Database for Spontaneous Micro-Expression with High Frame Rates. - Sirui Zhao; Huaying Tang; Xinglong Mao; Shifeng Liu; Hanqing Tao; Hao Wang 076; Tong Xu 001; Enhong Chen (CoRR, 2023)

Decoupled Representation Learning for Attributed Networks. - Hao Wang 076; Defu Lian; Hanghang Tong; Qi Liu 003; Zhenya Huang; Enhong Chen (IEEE Trans. Knowl. Data Eng., 2023)

Federated User Modeling from Hierarchical Information. - Qi Liu 003; Jinze Wu; Zhenya Huang; Hao Wang 076; Yuting Ning; Ming Chen; Enhong Chen; Jinfeng Yi; Bowen Zhou 001 (ACM Trans. Inf. Syst., 2023)

Model Inversion Attacks Against Graph Neural Networks. - Zaixi Zhang; Qi Liu 003; Zhenya Huang; Hao Wang 076; Chee-Kong Lee; Enhong Chen (IEEE Trans. Knowl. Data Eng., 2023)

An Efficient and Robust Semantic Hashing Framework for Similar Text Search. - Liyang He; Zhenya Huang; Enhong Chen; Qi Liu 003; Shiwei Tong; Hao Wang 076; Defu Lian; Shijin Wang 001 (ACM Trans. Inf. Syst., 2023)

TechPat: Technical Phrase Extraction for Patent Mining. - Ye Liu 011; Han Wu 002; Zhenya Huang; Hao Wang 076; Yuting Ning; Jianhui Ma; Qi Liu 003; Enhong Chen (ACM Trans. Knowl. Discov. Data, 2023)

Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives. - Weibo Gao; Qi Liu 003; Hao Wang 076; Linan Yue; Haoyang Bi; Yin Gu; Fangzhou Yao; Zheng Zhang 048; Xin Li 064; Yuanjing He (AAAI, 2024)

Bridging User Dynamics: Transforming Sequential Recommendations with Schrödinger Bridge and Diffusion Models. - Wenjia Xie; Rui Zhou; Hao Wang 076; Tingjia Shen; Enhong Chen (CIKM, 2024)

MRT: Multi-modal Short- and Long-range Temporal Convolutional Network for Time-sync Comment Video Behavior Prediction. - Weihao Zhao; Weidong He; Hao Wang 076; Haoyang Bi; Han Wu 002; Chen Zhu 003; Tong Xu 001; Enhong Chen (LREC/COLING, 2024)

A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation. - Luankang Zhang; Hao Wang 076; Suojuan Zhang; Mingjia Yin; Yongqiang Han; Jiaqing Zhang; Defu Lian; Enhong Chen (DASFAA (3), 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)

A Multi-scale Feature Learning Network with Optical Flow Correction for Micro- and Macro-expression Spotting. - Zhengye Zhang; Sirui Zhao; Xinglong Mao; Shifeng Liu; Hao Wang 076; Tong Xu 001; Enhong Chen (ACM Multimedia, 2024)

Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling. - Weibo Gao; Qi Liu 003; Linan Yue; Fangzhou Yao; Hao Wang 076; Yin Gu; Zheng Zhang 048 (NeurIPS, 2024)

Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model. - Wenjia Xie; Hao Wang 076; Luankang Zhang; Rui Zhou; Defu Lian; Enhong Chen (NeurIPS, 2024)

H2LMER: A Cross Frame-Rate Representation Alignment Framework for Micro-expression Recognition. - Xinglong Mao; Shifeng Liu; Sirui Zhao; Yiming Zhang; Hao Wang 076; Tong Xu 001; Enhong Chen (PRCV (11), 2024)

MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain Recommendation. - Junxiong Tong; Mingjia Yin; Hao Wang 076; Qiushi Pan; Defu Lian; Enhong Chen (WISE (3), 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)

Woodpecker: hallucination correction for multimodal large language models. - Shukang Yin; Chaoyou Fu; Sirui Zhao; Tong Xu 001; Hao Wang 076; Dianbo Sui; Yunhang Shen; Ke Li 015; Xing Sun 001; Enhong Chen (Sci. China Inf. Sci., 2024)

Understanding the planning of LLM agents: A survey. - Xu Huang 008; Weiwen Liu; Xiaolong Chen; Xingmei Wang 001; Hao Wang 076; Defu Lian; Yasheng Wang; Ruiming Tang; Enhong Chen (CoRR, 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)

Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation. - Tingjia Shen; Hao Wang 076; Jiaqing Zhang; Sirui Zhao; Liangyue Li; Zulong Chen; Defu Lian; Enhong Chen (CoRR, 2024)

Foundations and Frontiers of Graph Learning Theory. - Yu Huang; Min Zhou 006; Menglin Yang 001; Zhen Wang; Muhan Zhang; Jie Wang 005; Hong Xie 004; Hao Wang 076; 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)

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

ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language Models. - Yuqing Huang; Rongyang Zhang; Xuesong He; Xuyang Zhi; Hao Wang 076; Xin Li 064; Feiyang Xu; Deguang Liu; Huadong Liang; Yi Li; Jian Cui; Zimu Liu; et al. (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)

DFME: A New Benchmark for Dynamic Facial Micro-Expression Recognition. - Sirui Zhao; Huaying Tang; Xinglong Mao; Shifeng Liu; Yiming Zhang; Hao Wang 076; Tong Xu 001; Enhong Chen (IEEE Trans. Affect. Comput., 2024)

A Multi-Aspect Neural Tensor Factorization Framework for Patent Litigation Prediction. - Han Wu 002; Guanqi Zhu; Qi Liu 003; Hengshu Zhu; Hao Wang 076; Hongke Zhao; Chuanren Liu; Enhong Chen; Hui Xiong 001 (IEEE Trans. Big Data, 2024)

Hierarchical Multi-Modal Attention Network for Time-Sync Comment Video Recommendation. - Weihao Zhao; Han Wu 002; Weidong He; Haoyang Bi; Hao Wang 076; Chen Zhu 003; Tong Xu 001; Enhong Chen (IEEE Trans. Circuits Syst. Video Technol., 2024)

Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements. - Weidong He; Zhi Li 057; Hao Wang 076; Tong Xu 001; Zhefeng Wang 001; Baoxing Huai; Nicholas Jing Yuan; Enhong Chen (ACM Trans. Intell. Syst. Technol., 2024)

A survey on large language models for recommendation. - Likang Wu; Zhi Zheng 008; Zhaopeng Qiu; Hao Wang 076; Hongchao Gu; Tingjia Shen; Chuan Qin 002; Chen Zhu 003; Hengshu Zhu; Qi Liu 003; Hui Xiong 001; Enhong Chen (World Wide Web (WWW), 2024)

Learning Relation-Enhanced Hierarchical Solver for Math Word Problems. - Xin Lin 005; Zhenya Huang; Hongke Zhao; Enhong Chen; Qi Liu 003; Defu Lian; Xin Li 064; Hao Wang 076 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Exploiting Instance-level Relationships in Weakly Supervised Text-to-Video Retrieval. - Shukang Yin; Sirui Zhao; Hao Wang 076; Tong Xu 001; Enhong Chen (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems. - Weibo Gao; Qi Liu 003; Linan Yue; Fangzhou Yao; Rui Lv; Zheng Zhang 048; Hao Wang 076; Zhenya Huang (AAAI, 2025)

RAPID: Efficient Retrieval-Augmented Long Text Generation with Writing Planning and Information Discovery. - Hongchao Gu; Dexun Li; Kuicai Dong; Hao Zhang 088; Hang Lv 012; Hao Wang 076; Defu Lian; Yong Liu 020; Enhong Chen (ACL (Findings), 2025)

Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor. - Weibo Gao; Qi Liu 003; Rui Li 093; Yuze Zhao; Hao Wang 076; Linan Yue; Fangzhou Yao; Zheng Zhang 048 (KDD (1), 2025)

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)

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation. - Jiaqing Zhang; Mingjia Yin; Hao Wang 076; Yawen Li 001; Yuyang Ye 002; Xingyu Lou; Junping Du 001; Enhong Chen (WWW, 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)

Text-dominant multimodal perception network for sentiment analysis based on cross-modal semantic enhancements. - Zuhe Li; Panbo Liu; Yushan Pan; Jun Yu 011; Weihua Liu; Haoran Chen; Yiming Luo; Hao Wang 076 (Appl. Intell., 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)

MF-GSLAE: A Multi-Factor User Representation Pre-Training Framework for Dual-Target Cross-Domain Recommendation. - Hao Wang 076; Mingjia Yin; Luankang Zhang; Sirui Zhao; Enhong Chen (ACM Trans. Inf. Syst., 2025)

Adaptive Schema-aware Event Extraction with Retrieval-Augmented Generation. - Sheng Liang; Hang Lv 012; Zhihao Wen; Yaxiong Wu 005; Yongyue Zhang; Hao Wang 076; Yong Liu 020 (CoRR, 2025)

Enhancing CTR Prediction with De-correlated Expert Networks. - Jiancheng Wang; Mingjia Yin; Junwei Pan; Ximei Wang; Hao Wang 076; Enhong Chen (CoRR, 2025)

GenKI: Enhancing Open-Domain Question Answering with Knowledge Integration and Controllable Generation in Large Language Models. - Tingjia Shen; Hao Wang 076; Chuan Qin 002; Ruijun Sun; Yang Song; Defu Lian; Hengshu Zhu; Enhong Chen (CoRR, 2025)

Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor. - Weibo Gao; Qi Liu 003; Rui Li 093; Yuze Zhao; Hao Wang 076; Linan Yre; Fangzhou Yao; Zheng Zhang 048 (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)