Bo Chen - RankMe

114 papers A* 20A 23B 2Journal 62Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CAPTS: Channel-Aware, Preference-Aligned Trigger Selection for Multi-Channel Item-to-Item Retrieval. CoRR Xiaoyou Zhou, Yuqi Liu, Zhao Liu, Xiao Lv, Bo Chen, Ruiming Tang, Guorui Zhou
2026	J	`jnl`	CTRL: Connect Collaborative and Language Model for CTR Prediction. Trans. Recomm. Syst. Xiangyang Li, Bo Chen, Lu Hou, Ruiming Tang
2026	J	`jnl`	DIET: Learning to Distill Dataset Continually for Recommender Systems. CoRR Jiaqing Zhang, Hao Wang, Mingjia Yin, Bo Chen, Qinglin Jia, Rui Zhou, Ruiming Tang, Chaoyi Ma, Enhong Chen
2026	J	`jnl`	Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models. Trans. Recomm. Syst. Yunjia Xi, Weiwen Liu, Jianghao Lin, Muyan Weng, Xiaoling Cai, Hong Zhu, Jieming Zhu, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang
2026	J	`jnl`	Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation. Trans. Recomm. Syst. Rong Shan, Jiachen Zhu, Jianghao Lin, Chenxu Zhu, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang
2026	J	`jnl`	MuonRec: Shifting the Optimizer Paradigm Beyond Adam in Scalable Generative Recommendation. CoRR Rong Shan, Aofan Yu, Bo Chen, Kuo Cai, Qiang Luo, Ruiming Tang, Han Li, Weiwen Liu, Weinan Zhang, Jianghao Lin
2026	J	`jnl`	SMES: Towards Scalable Multi-Task Recommendation via Expert Sparsity. CoRR Yukun Zhang, Si Dong, Xu Wang, Bo Chen, Qinglin Jia, Shengzhe Wang, Jinlong Jiao, Runhan Li, Jiaqing Liu, Chaoyi Ma, Ruiming Tang, Guorui Zhou, Han Li, Kun Gai
2026	J	`jnl`	Unleashing the Native Recommendation Potential: LLM-Based Generative Recommendation via Structured Term Identifiers. CoRR Zhiyang Zhang, Junda She, Kuo Cai, Bo Chen, Shiyao Wang, Xinchen Luo, Qiang Luo, Ruiming Tang, Han Li, Kun Gai, Guorui Zhou
2025	A*	`conf`	Action First: Leveraging Preference-Aware Actions for More Effective Decision-Making in Interactive Recommender Systems. SIGIR Renting Rui, Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
2025	—	`conf`	An Automatic Graph Construction Framework based on Large Language Models for Recommendation. KDD (2) Rong Shan, Jianghao Lin, Chenxu Zhu, Bo Chen, Menghui Zhu, Kangning Zhang, Jieming Zhu, Ruiming Tang, Yong Yu, Weinan Zhang
2025	A*	`conf`	Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding. SIGIR Yunjia Xi, Hangyu Wang, Bo Chen, Jianghao Lin, Menghui Zhu, Weiwen Liu, Ruiming Tang, Zhewei Wei, Weinan Zhang, Yong Yu
2025	J	`jnl`	Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey. CoRR Jiachen Zhu, Menghui Zhu, Renting Rui, Rong Shan, Congmin Zheng, Bo Chen, Yunjia Xi, Jianghao Lin, Weiwen Liu, Ruiming Tang, Yong Yu, Weinan Zhang
2025	J	`jnl`	Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation. CoRR Rong Shan, Jiachen Zhu, Jianghao Lin, Chenxu Zhu, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang
2025	J	`jnl`	Generative Representational Learning of Foundation Models for Recommendation. CoRR Zheli Zhou, Chenxu Zhu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
2025	J	`jnl`	How Can Recommender Systems Benefit from Large Language Models: A Survey. ACM Trans. Inf. Syst. Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen, Hao Zhang, Yong Liu, Chuhan Wu, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu, Ruiming Tang, Weinan Zhang
2025	J	`jnl`	InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation. CoRR Yunjia Xi, Jianghao Lin, Menghui Zhu, Yongzhao Xiao, Zhuoying Ou, Jiaqi Liu, Tong Wan, Bo Chen, Weiwen Liu, Yasheng Wang, Ruiming Tang, Weinan Zhang, Yong Yu
2025	—	`conf`	Joint Modeling in Deep Recommender Systems. WWW (Companion Volume) Pengyue Jia, Jingtong Gao, Yejing Wang, Yuhao Wang, Xiaopeng Li, Qidong Liu, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang
2025	J	`jnl`	Joint Modeling in Recommendations: A Survey. CoRR Xiangyu Zhao, Yichao Wang, Bo Chen, Jingtong Gao, Yuhao Wang, Xiaopeng Li, Pengyue Jia, Qidong Liu, Huifeng Guo, Ruiming Tang
2025	A*	`conf`	LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations. WWW Jingtong Gao, Bo Chen, Xiangyu Zhao, Weiwen Liu, Xiangyang Li, Yichao Wang, Wanyu Wang, Huifeng Guo, Ruiming Tang
2025	—	`conf`	LLM4Tag: Automatic Tagging System for Information Retrieval via Large Language Models. KDD (2) Ruiming Tang, Chenxu Zhu, Bo Chen, Weipeng Zhang, Menghui Zhu, Xinyi Dai, Huifeng Guo
2025	J	`jnl`	LLM4Tag: Automatic Tagging System for Information Retrieval via Large Language Models. CoRR Ruiming Tang, Chenxu Zhu, Bo Chen, Weipeng Zhang, Menghui Zhu, Xinyi Dai, Huifeng Guo
2025	J	`jnl`	Large language models make sample-efficient recommender systems. Frontiers Comput. Sci. Jianghao Lin, Xinyi Dai, Rong Shan, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang
2025	J	`jnl`	MassTool: A Multi-Task Search-Based Tool Retrieval Framework for Large Language Models. CoRR Jianghao Lin, Xinyuan Wang, Xinyi Dai, Menghui Zhu, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang
2025	J	`jnl`	Towards efficient and effective unlearning of large language models for recommendation. Frontiers Comput. Sci. Hangyu Wang, Jianghao Lin, Bo Chen, Yang Yang, Ruiming Tang, Weinan Zhang, Yong Yu
2025	A	`conf`	Vela: Scalable Embeddings with Voice Large Language Models for Multimodal Retrieval. INTERSPEECH Ruofan Hu, Yan Xia, Minjie Hong, Jieming Zhu, Bo Chen, Xiaoda Yang, Minghui Fang, Tao Jin
2025	J	`jnl`	Vela: Scalable Embeddings with Voice Large Language Models for Multimodal Retrieval. CoRR Ruofan Hu, Yan Xia, Minjie Hong, Jieming Zhu, Bo Chen, Xiaoda Yang, Minghui Fang, Tao Jin
2024	J	`jnl`	A Comprehensive Survey on Automated Machine Learning for Recommendations. Trans. Recomm. Syst. Bo Chen, Xiangyu Zhao, Yejing Wang, Wenqi Fan, Huifeng Guo, Ruiming Tang
2024	J	`jnl`	A Decoding Acceleration Framework for Industrial Deployable LLM-based Recommender Systems. CoRR Yunjia Xi, Hangyu Wang, Bo Chen, Jianghao Lin, Menghui Zhu, Weiwen Liu, Ruiming Tang, Weinan Zhang, Yong Yu
2024	J	`jnl`	A Survey on Bid Optimization in Real-Time Bidding Display Advertising. ACM Trans. Knowl. Discov. Data Weitong Ou, Bo Chen, Xinyi Dai, Weinan Zhang, Weiwen Liu, Ruiming Tang, Yong Yu
2024	A	`conf`	AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising. RecSys Yang Yang, Bo Chen, Chenxu Zhu, Menghui Zhu, Xinyi Dai, Huifeng Guo, Muyu Zhang, Zhenhua Dong, Ruiming Tang
2024	J	`jnl`	AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising. CoRR Yang Yang, Bo Chen, Chenxu Zhu, Menghui Zhu, Xinyi Dai, Huifeng Guo, Muyu Zhang, Zhenhua Dong, Ruiming Tang
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`	An Automatic Graph Construction Framework based on Large Language Models for Recommendation. CoRR Rong Shan, Jianghao Lin, Chenxu Zhu, Bo Chen, Menghui Zhu, Kangning Zhang, Jieming Zhu, Ruiming Tang, Yong Yu, Weinan Zhang
2024	J	`jnl`	AutoAssign+: Automatic Shared Embedding Assignment in streaming recommendation. Knowl. Inf. Syst. Ziru Liu, Kecheng Chen, Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2024	J	`jnl`	Beyond Positive History: Re-ranking with List-level Hybrid Feedback. CoRR Muyan Weng, Yunjia Xi, Weiwen Liu, Bo Chen, Jianghao Lin, Ruiming Tang, Weinan Zhang, Yong Yu
2024	A*	`conf`	ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction. WWW Jianghao Lin, Bo Chen, Hangyu Wang, Yunjia Xi, Yanru Qu, Xinyi Dai, Kangning Zhang, Ruiming Tang, Yong Yu, Weinan Zhang
2024	A	`conf`	Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation. WSDM Yuhao Wang, Ziru Liu, Yichao Wang, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang
2024	A*	`conf`	DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation. KDD Kounianhua Du, Jizheng Chen, Jianghao Lin, Yunjia Xi, Hangyu Wang, Xinyi Dai, Bo Chen, Ruiming Tang, Weinan Zhang
2024	J	`jnl`	DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation. CoRR Kounianhua Du, Jizheng Chen, Jianghao Lin, Yunjia Xi, Hangyu Wang, Xinyi Dai, Bo Chen, Ruiming Tang, Weinan Zhang
2024	A	`conf`	ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation. CIKM Jizheng Chen, Kounianhua Du, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
2024	J	`jnl`	ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation. CoRR Jizheng Chen, Kounianhua Du, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang
2024	A*	`conf`	ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems. KDD Pengyue Jia, Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Yichao Wang, Bo Chen, Wanyu Wang, Huifeng Guo, Ruiming Tang
2024	J	`jnl`	ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems. CoRR Pengyue Jia, Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Yichao Wang, Bo Chen, Wanyu Wang, Huifeng Guo, Ruiming Tang
2024	J	`jnl`	Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models. CoRR Yunjia Xi, Weiwen Liu, Jianghao Lin, Muyan Weng, Xiaoling Cai, Hong Zhu, Jieming Zhu, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang
2024	J	`jnl`	Extracting Essential and Disentangled Knowledge for Recommendation Enhancement. CoRR Kounianhua Du, Jizheng Chen, Jianghao Lin, Menghui Zhu, Bo Chen, Shuai Li, Ruiming Tang
2024	A	`conf`	FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction. RecSys Hangyu Wang, Jianghao Lin, Xiangyang Li, Bo Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, Yong Yu
2024	A	`conf`	HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations. CIKM Jingtong Gao, Bo Chen, Menghui Zhu, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Yichao Wang, Huifeng Guo, Ruiming Tang
2024	J	`jnl`	LIBER: Lifelong User Behavior Modeling Based on Large Language Models. CoRR Chenxu Zhu, Shigang Quan, Bo Chen, Jianghao Lin, Xiaoling Cai, Hong Zhu, Xiangyang Li, Yunjia Xi, Weinan Zhang, Ruiming Tang
2024	J	`jnl`	LLM-enhanced Reranking in Recommender Systems. CoRR Jingtong Gao, Bo Chen, Xiangyu Zhao, Weiwen Liu, Xiangyang Li, Yichao Wang, Zijian Zhang, Wanyu Wang, Yuyang Ye, Shanru Lin, Huifeng Guo, Ruiming Tang
2024	J	`jnl`	Large Language Models Make Sample-Efficient Recommender Systems. CoRR Jianghao Lin, Xinyi Dai, Rong Shan, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang
2024	J	`jnl`	Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation. CoRR Jiachen Zhu, Jianghao Lin, Xinyi Dai, Bo Chen, Rong Shan, Jieming Zhu, Ruiming Tang, Yong Yu, Weinan Zhang
2024	A	`conf`	MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models. CIKM Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
2024	J	`jnl`	MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models. CoRR Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
2024	—	`conf`	Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models. CCIR Yunjia Xi, Weiwen Liu, Jianghao Lin, Chuhan Wu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
2024	J	`jnl`	Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models. CoRR Yunjia Xi, Weiwen Liu, Jianghao Lin, Chuhan Wu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
2024	A*	`conf`	ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation. WWW Jianghao Lin, Rong Shan, Chenxu Zhu, Kounianhua Du, Bo Chen, Shigang Quan, Ruiming Tang, Yong Yu, Weinan Zhang
2024	A	`conf`	Retrieval-Oriented Knowledge for Click-Through Rate Prediction. CIKM Huanshuo Liu, Bo Chen, Menghui Zhu, Jianghao Lin, Jiarui Qin, Hao Zhang, Yang Yang, Ruiming Tang
2024	J	`jnl`	Retrieval-Oriented Knowledge for Click-Through Rate Prediction. CoRR Huanshuo Liu, Bo Chen, Menghui Zhu, Jianghao Lin, Jiarui Qin, Yang Yang, Hao Zhang, Ruiming Tang
2024	J	`jnl`	Towards Efficient and Effective Unlearning of Large Language Models for Recommendation. CoRR Hangyu Wang, Jianghao Lin, Bo Chen, Yang Yang, Ruiming Tang, Weinan Zhang, Yong Yu
2024	A	`conf`	Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models. RecSys Yunjia Xi, Weiwen Liu, Jianghao Lin, Xiaoling Cai, Hong Zhu, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
2023	J	`jnl`	AIM: Automatic Interaction Machine for Click-Through Rate Prediction. IEEE Trans. Knowl. Data Eng. Chenxu Zhu, Bo Chen, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu
2023	J	`jnl`	ALT: Towards Fine-grained Alignment between Language and CTR Models for Click-Through Rate Prediction. CoRR Hangyu Wang, Jianghao Lin, Xiangyang Li, Bo Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, Yong Yu
2023	J	`jnl`	AutoAssign+: Automatic Shared Embedding Assignment in Streaming Recommendation. CoRR Ziru Liu, Kecheng Chen, Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2023	A	`conf`	AutoGen: An Automated Dynamic Model Generation Framework for Recommender System. WSDM Chenxu Zhu, Bo Chen, Huifeng Guo, Hang Xu, Xiangyang Li, Xiangyu Zhao, Weinan Zhang, Yong Yu, Ruiming Tang
2023	A	`conf`	AutoML for Deep Recommender Systems: Fundamentals and Advances. WSDM Ruiming Tang, Bo Chen, Yejing Wang, Huifeng Guo, Yong Liu, Wenqi Fan, Xiangyu Zhao
2023	A	`conf`	AutoOpt: Automatic Hyperparameter Scheduling and Optimization for Deep Click-through Rate Prediction. RecSys Yujun Li, Xing Tang, Bo Chen, Yimin Huang, Ruiming Tang, Zhenguo Li
2023	A*	`conf`	AutoTransfer: Instance Transfer for Cross-Domain Recommendations. SIGIR Jingtong Gao, Xiangyu Zhao, Bo Chen, Fan Yan, Huifeng Guo, Ruiming Tang
2023	J	`jnl`	CTRL: Connect Tabular and Language Model for CTR Prediction. CoRR Xiangyang Li, Bo Chen, Lu Hou, Ruiming Tang
2023	J	`jnl`	ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction. CoRR Jianghao Lin, Bo Chen, Hangyu Wang, Yunjia Xi, Yanru Qu, Xinyi Dai, Kangning Zhang, Ruiming Tang, Yong Yu, Weinan Zhang
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`	Deep Landscape Forecasting in Multi-Slot Real-Time Bidding. KDD Weitong Ou, Bo Chen, Yingxuan Yang, Xinyi Dai, Weiwen Liu, Weinan Zhang, Ruiming Tang, Yong Yu
2023	A	`conf`	HAMUR: Hyper Adapter for Multi-Domain Recommendation. CIKM Xiaopeng Li, Fan Yan, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang
2023	J	`jnl`	HAMUR: Hyper Adapter for Multi-Domain Recommendation. CoRR Xiaopeng Li, Fan Yan, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang
2023	J	`jnl`	How Can Recommender Systems Benefit from Large Language Models: A Survey. CoRR Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu, Ruiming Tang, Weinan Zhang
2023	J	`jnl`	Multi-Task Deep Recommender Systems: A Survey. CoRR Yuhao Wang, Ha Tsz Lam, Yi Wong, Ziru Liu, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang
2023	A	`conf`	Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising. CIKM Weitong Ou, Bo Chen, Weiwen Liu, Xinyi Dai, Weinan Zhang, Wei Xia, Xuan Li, Ruiming Tang, Yong Yu
2023	A*	`conf`	PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations. SIGIR Yuhao Wang, Xiangyu Zhao, Bo Chen, Qidong Liu, Huifeng Guo, Huanshuo Liu, Yichao Wang, Rui Zhang, Ruiming Tang
2023	J	`jnl`	ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation. CoRR Jianghao Lin, Rong Shan, Chenxu Zhu, Kounianhua Du, Bo Chen, Shigang Quan, Ruiming Tang, Yong Yu, Weinan Zhang
2023	J	`jnl`	Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendation. CoRR Jingtong Gao, Bo Chen, Menghui Zhu, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Yichao Wang, Huifeng Guo, Ruiming Tang
2023	A*	`conf`	Single-shot Feature Selection for Multi-task Recommendations. SIGIR Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang, Zhenhua Dong
2023	J	`jnl`	Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models. CoRR Yunjia Xi, Weiwen Liu, Jianghao Lin, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu
2022	—	`conf`	Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lyu, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He
2022	A*	`conf`	AutoAssign: Automatic Shared Embedding Assignment in Streaming Recommendation. ICDM Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2022	J	`jnl`	Automated Machine Learning for Deep Recommender Systems: A Survey. CoRR Bo Chen, Xiangyu Zhao, Yejing Wang, Wenqi Fan, Huifeng Guo, Ruiming Tang
2022	A*	`conf`	CausalInt: Causal Inspired Intervention for Multi-Scenario Recommendation. KDD Yichao Wang, Huifeng Guo, Bo Chen, Weiwen Liu, Zhirong Liu, Qi Zhang, Zhicheng He, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Zhenhua Dong, 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	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`	Neural Re-ranking for Multi-stage Recommender Systems. RecSys Weiwen Liu, Jiarui Qin, Ruiming Tang, Bo Chen
2022	A*	`conf`	Neural Re-ranking in Multi-stage Recommender Systems: A Review. IJCAI Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen, Weinan Zhang, Rui Zhang, Ruiming Tang
2022	J	`jnl`	Neural Re-ranking in Multi-stage Recommender Systems: A Review. CoRR Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen, Weinan Zhang, Rui Zhang, 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
2022	A*	`conf`	RankFlow: Joint Optimization of Multi-Stage Cascade Ranking Systems as Flows. SIGIR Jiarui Qin, Jiachen Zhu, Bo Chen, Zhirong Liu, Weiwen Liu, Ruiming Tang, Rui Zhang, Yong Yu, Weinan Zhang
2022	J	`jnl`	Task Aligned Meta-learning based Augmented Graph for Cold-Start Recommendation. CoRR Yuxiang Shi, Yue Ding, Bo Chen, Yuyang Huang, Ruiming Tang, Dong Wang
2021	J	`jnl`	AIM: Automatic Interaction Machine for Click-Through Rate Prediction. CoRR Chenxu Zhu, Bo Chen, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu
2021	J	`jnl`	AIRec: Attentive intersection model for tag-aware recommendation. Neurocomputing Bo Chen, Yue Ding, Xin Xin, Yunzhe Li, Yule Wang, Dong Wang
2021	A*	`conf`	An Embedding Learning Framework for Numerical Features in CTR Prediction. KDD Huifeng Guo, Bo Chen, Ruiming Tang, Weinan Zhang, Zhenguo Li, 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	A	`conf`	Extracting Attentive Social Temporal Excitation for Sequential Recommendation. CIKM Yunzhe Li, Yue Ding, Bo Chen, Xin Xin, Yule Wang, Yuxiang Shi, Ruiming Tang, Dong Wang
2021	J	`jnl`	Extracting Attentive Social Temporal Excitation for Sequential Recommendation. CoRR Yunzhe Li, Yue Ding, Bo Chen, Xin Xin, Yule Wang, Yuxiang Shi, Ruiming Tang, Dong Wang
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	—	`conf`	ModularNAS: Towards Modularized and Reusable Neural Architecture Search. MLSys Yunfeng Lin, Guilin Li, Xing Zhang, Weinan Zhang, Bo Chen, Ruiming Tang, Zhenguo Li, Jiashi Feng, Yong Yu
2021	A	`conf`	Semi-deterministic and Contrastive Variational Graph Autoencoder for Recommendation. CIKM Yue Ding, Yuxiang Shi, Bo Chen, Chenghua Lin, Hongtao Lu, Jie Li, Ruiming Tang, Dong Wang
2020	J	`jnl`	AutoDis: Automatic Discretization for Embedding Numerical Features in CTR Prediction. CoRR Huifeng Guo, Bo Chen, Ruiming Tang, Zhenguo Li, Xiuqiang He
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	—	`conf`	AIRec: Attentive Intersection Model for Tag-Aware Recommendation. ISWC (Satellites) Bo Chen, Dong Wang, Yue Ding, Xin Xin
2019	A*	`conf`	CFM: Convolutional Factorization Machines for Context-Aware Recommendation. IJCAI Xin Xin, Bo Chen, Xiangnan He, Dong Wang, Yue Ding, Joemon M. Jose
2018	A*	`conf`	RFree-ID: An Unobtrusive Human Identification System Irrespective of Walking Cofactors Using COTS RFID. PerCom Qian Zhang, Dong Li, Run Zhao, Dong Wang, Yufeng Deng, Bo Chen
2018	B	`conf`	ReaderTrack: Reader-Book Interaction Reasoning Using RFID and Smartwatch. ICCCN Yufeng Deng, Dong Wang, Qian Zhang, Run Zhao, Bo Chen
2018	B	`conf`	SGRS: A sequential gesture recognition system using COTS RFID. WCNC Bo Chen, Qian Zhang, Run Zhao, Dong Li, Dong Wang