Yichao Wang

53 papers A* 9A 10B 1Journal 29Unranked 4
YearRankTypeTitle / Venue / Authors
2026 A conf
Counteracting the Delayed Conversions in OCPC with Survival Analysis.
WSDM
Leping Zhang, Chenxuan He, Xiao Zhang, Yichao Wang, Tengxiang Zhang, Zhenhua Dong, Jun Xu
2026 A* conf
Doc-Researcher: A Unified System for Multimodal Document Parsing and Deep Research.
WWW
Kuicai Dong, Shurui Huang, Fangda Ye, Wei Han, Zhi Zhang, Dexun Li, Wenjun Li, Qu Yang, Gang Wang, Yichao Wang, Chen Zhang, Yong Liu
2026 J jnl
Evoking User Memory: Personalizing LLM via Recollection-Familiarity Adaptive Retrieval.
CoRR
Yingyi Zhang, Junyi Li, Wenlin Zhang, Penyue Jia, Xianneng Li, Yichao Wang, Derong Xu, Yi Wen, Huifeng Guo, Yong Liu, Xiangyu Zhao
2026 — conf
Exploring Recommender System Evaluation: A Multi-Modal LLM Agent Framework for A/B Testing.
KDD (1)
Wenlin Zhang, Xiangyang Li, Qiyuan Ge, Kuicai Dong, Pengyue Jia, Xiaopeng Li, Zijian Zhang, Maolin Wang, Yichao Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2026 J jnl
Exploring Recommender System Evaluation: A Multi-Modal User Agent Framework for A/B Testing.
CoRR
Wenlin Zhang, Xiangyang Li, Qiyuan Ge, Kuicai Dong, Pengyue Jia, Xiaopeng Li, Zijian Zhang, Maolin Wang, Yichao Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2026 A* conf
Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval.
AAAI
Yingyi Zhang, Pengyue Jia, Derong Xu, Yi Wen, Xianneng Li, Yichao Wang, Wenlin Zhang, Xiaopeng Li, Weinan Gan, Huifeng Guo, Yong Liu, Xiangyu Zhao
2026 A* conf
To Search or Not to Search: Aligning the Decision Boundary of Deep Search Agents via Causal Intervention.
WWW
Wenlin Zhang, Kuicai Dong, Junyi Li, Yingyi Zhang, Xiaopeng Li, Pengyue Jia, Yi Wen, Derong Xu, Maolin Wang, Yichao Wang, Yong Liu, Xiangyu Zhao
2026 J jnl
To Search or Not to Search: Aligning the Decision Boundary of Deep Search Agents via Causal Intervention.
CoRR
Wenlin Zhang, Kuicai Dong, Junyi Li, Yingyi Zhang, Xiaopeng Li, Pengyue Jia, Yi Wen, Derong Xu, Maolin Wang, Yichao Wang, Yong Liu, Xiangyu Zhao
2025 J jnl
A Survey of Personalization: From RAG to Agent.
CoRR
Xiaopeng Li, Pengyue Jia, Derong Xu, Yi Wen, Yingyi Zhang, Wenlin Zhang, Wanyu Wang, Yichao Wang, Zhaocheng Du, Xiangyang Li, Yong Liu, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2025 J jnl
A Unified Framework for Multi-Domain CTR Prediction via Large Language Models.
ACM Trans. Inf. Syst.
Zichuan Fu, Xiangyang Li, Chuhan Wu, Yichao Wang, Kuicai Dong, Xiangyu Zhao, Mengchen Zhao, Huifeng Guo, Ruiming Tang
2025 J jnl
Adapting Constrained Markov Decision Process for OCPC Bidding with Delayed Conversions.
ACM Trans. Inf. Syst.
Leping Zhang, Xiao Zhang, Yichao Wang, Xuan Li, Zhenhua Dong, Jun Xu
2025 J jnl
Align-GRAG: Reasoning-Guided Dual Alignment for Graph Retrieval-Augmented Generation.
CoRR
Derong Xu, Pengyue Jia, Xiaopeng Li, Yingyi Zhang, Maolin Wang, Qidong Liu, Xiangyu Zhao, Yichao Wang, Huifeng Guo, Ruiming Tang, Enhong Chen, Tong Xu
2025 J jnl
Deep Research: A Survey of Autonomous Research Agents.
CoRR
Wenlin Zhang, Xiaopeng Li, Yingyi Zhang, Pengyue Jia, Yichao Wang, Huifeng Guo, Yong Liu, Xiangyu Zhao
2025 J jnl
From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs.
CoRR
Yaxiong Wu, Sheng Liang, Chen Zhang, Yichao Wang, Yongyue Zhang, Huifeng Guo, Ruiming Tang, Yong Liu
2025 — conf
HyperGate: Hierarchical Perceptive Gating Network for Multi-domain Multi-task Recommendation.
WWW (Companion Volume)
Xu Huang, Xiaolong Chen, Yichao Wang, Weiwen Liu, Yang Yang, Xingmei Wang, Defu Lian, Ruiming Tang
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 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 B conf
LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations.
COLING
Wenlin Zhang, Chuhan Wu, Xiangyang Li, Yuhao Wang, Kuicai Dong, Yichao Wang, Xinyi Dai, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2025 J jnl
LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration.
CoRR
Yingyi Zhang, Pengyue Jia, Xianneng Li, Derong Xu, Maolin Wang, Yichao Wang, Zhaocheng Du, Huifeng Guo, Yong Liu, Ruiming Tang, Xiangyu Zhao
2025 J jnl
Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval.
CoRR
Yingyi Zhang, Pengyue Jia, Derong Xu, Yi Wen, Xianneng Li, Yichao Wang, Wenlin Zhang, Xiaopeng Li, Weinan Gan, Huifeng Guo, Yong Liu, Xiangyu Zhao
2025 J jnl
Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning.
CoRR
Wenlin Zhang, Xiangyang Li, Kuicai Dong, Yichao Wang, Pengyue Jia, Xiaopeng Li, Yingyi Zhang, Derong Xu, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2025 — conf
SampleLLM: Optimizing Tabular Data Synthesis in Recommendations.
WWW (Companion Volume)
Jingtong Gao, Zhaocheng Du, Xiaopeng Li, Yichao Wang, Xiangyang Li, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2025 A conf
Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark.
CIKM
Xiaopeng Li, Jingtong Gao, Pengyue Jia, Xiangyu Zhao, Yichao Wang, Wanyu Wang, Yejing Wang, Yuhao Wang, Huifeng Guo, Ruiming Tang
2025 J jnl
Towards Multi-Granularity Memory Association and Selection for Long-Term Conversational Agents.
CoRR
Derong Xu, Yi Wen, Pengyue Jia, Yingyi Zhang, Wenlin Zhang, Yichao Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao, Enhong Chen, Tong Xu
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
Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation.
CoRR
Pengyue Jia, Derong Xu, Xiaopeng Li, Zhaocheng Du, Xiangyang Li, Xiangyu Zhao, Yichao Wang, Yuhao Wang, Huifeng Guo, Ruiming Tang
2024 A* conf
D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations.
AAAI
Pengyue Jia, Yichao Wang, Shanru Lin, Xiaopeng Li, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
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 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 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 A conf
IncMSR: An Incremental Learning Approach for Multi-Scenario Recommendation.
WSDM
Kexin Zhang, Yichao Wang, Xiu Li, Ruiming Tang, Rui Zhang
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 A conf
LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation.
CIKM
Yuhao Wang, Yichao Wang, Zichuan Fu, Xiangyang Li, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2024 J jnl
LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation.
CoRR
Yuhao Wang, Yichao Wang, Zichuan Fu, Xiangyang Li, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2024 A* conf
M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation.
WWW
Jiachen Zhu, Yichao Wang, Jianghao Lin, Jiarui Qin, Ruiming Tang, Weinan Zhang, Yong Yu
2024 J jnl
M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation.
CoRR
Jiachen Zhu, Yichao Wang, Jianghao Lin, Jiarui Qin, Ruiming Tang, Weinan Zhang, Yong Yu
2024 J jnl
Prompt Tuning as User Inherent Profile Inference Machine.
CoRR
Yusheng Lu, Zhaocheng Du, Xiangyang Li, Xiangyu Zhao, Weiwen Liu, Yichao Wang, Huifeng Guo, Ruiming Tang, Zhenhua Dong, Yongrui Duan
2024 J jnl
Tired of Plugins? Large Language Models Can Be End-To-End Recommenders.
CoRR
Wenlin Zhang, Chuhan Wu, Xiangyang Li, Yuhao Wang, Kuicai Dong, Yichao Wang, Xinyi Dai, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2023 J jnl
A Unified Framework for Multi-Domain CTR Prediction via Large Language Models.
CoRR
Zichuan Fu, Xiangyang Li, Chuhan Wu, Yichao Wang, Kuicai Dong, Xiangyu Zhao, Mengchen Zhao, Huifeng Guo, Ruiming Tang
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
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 Transport for Treatment Effect Estimation.
NeurIPS
Hao Wang, Jiajun Fan, Zhichao Chen, Haoxuan Li, Weiming Liu, Tianqiao Liu, Quanyu Dai, Yichao Wang, Zhenhua Dong, Ruiming Tang
2023 J jnl
Optimal Transport for Treatment Effect Estimation.
CoRR
Hao Wang, Zhichao Chen, Jiajun Fan, Haoxuan Li, Tianqiao Liu, Weiming Liu, Quanyu Dai, Yichao Wang, Zhenhua Dong, Ruiming Tang
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
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
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
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
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
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
2020 J jnl
A Practical Incremental Method to Train Deep CTR Models.
CoRR
Yichao Wang, Huifeng Guo, Ruiming Tang, Zhirong Liu, Xiuqiang He
2020 J jnl
Personalized Re-ranking for Improving Diversity in Live Recommender Systems.
CoRR
Yichao Wang, Xiangyu Zhang, Zhirong Liu, Zhenhua Dong, Xinhua Feng, Ruiming Tang, Xiuqiang He