Yuhao Wang - RankMe

43 papers A* 6A 9B 1Journal 24Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DeepResearch-9K: A Challenging Benchmark Dataset of Deep-Research Agent. CoRR Tongzhou Wu, Yuhao Wang, Xinyu Ma, Xiuqiang He, Shuaiqiang Wang, Dawei Yin, Xiangyu Zhao
2026	A*	`conf`	Emotion and Intention Guided Multi-Modal Learning for Sticker Response Selection. AAAI Yuxuan Hu, Jian Chen, Yuhao Wang, Zixuan Li, Jing Xiong, Pengyue Jia, Wei Wang, Chengming Li, Xiangyu Zhao
2025	J	`jnl`	Behavior-Equivalent Token: Single-Token Replacement for Long Prompts in LLMs. CoRR Jiancheng Dong, Pengyue Jia, Jingyu Peng, Maolin Wang, Yuhao Wang, Lixin Su, Xin Sun, Shuaiqiang Wang, Dawei Yin, Xiangyu Zhao
2025	—	`conf`	Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation. ACL (Findings) Pengyue Jia, Derong Xu, Xiaopeng Li, Zhaocheng Du, Xiangyang Li, Yichao Wang, Yuhao Wang, Qidong Liu, Maolin Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2025	A	`conf`	ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph. CIKM Langming Liu, Haibin Chen, Yuhao Wang, Yujin Yuan, Shilei Liu, Wenbo Su, Xiangyu Zhao, Bo Zheng
2025	J	`jnl`	ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph. CoRR Langming Liu, Haibin Chen, Yuhao Wang, Yujin Yuan, Shilei Liu, Wenbo Su, Zhao-Xiang Zhang, Bo Zheng
2025	J	`jnl`	Emotion and Intention Guided Multi-Modal Learning for Sticker Response Selection. CoRR Yuxuan Hu, Jian Chen, Yuhao Wang, Zixuan Li, Jing Xiong, Pengyue Jia, Wei Wang, Chengming Li, Xiangyu Zhao
2025	A	`conf`	Empowering Denoising Sequential Recommendation with Large Language Model Embeddings. CIKM Tongzhou Wu, Yuhao Wang, Maolin Wang, Chi Zhang, Xiangyu Zhao
2025	J	`jnl`	Empowering Denoising Sequential Recommendation with Large Language Model Embeddings. CoRR Tongzhou Wu, Yuhao Wang, Maolin Wang, Chi Zhang, Xiangyu Zhao
2025	A	`conf`	Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs. CIKM Yuhao Wang, Junwei Pan, Xinhang Li, Maolin Wang, Yuan Wang, Yue Liu, Dapeng Liu, Jie Jiang, Xiangyu Zhao
2025	J	`jnl`	Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs. CoRR Yuhao Wang, Junwei Pan, Xinhang Li, Maolin Wang, Yuan Wang, Yue Liu, Dapeng Liu, Jie Jiang, Xiangyu Zhao
2025	J	`jnl`	Grasp Any Region: Towards Precise, Contextual Pixel Understanding for Multimodal LLMs. CoRR Haochen Wang, Yuhao Wang, Tao Zhang, Yikang Zhou, Yanwei Li, Jiacong Wang, Jiani Zheng, Ye Tian, Jiahao Meng, Zilong Huang, Guangcan Mai, Anran Wang, Yunhai Tong, Zhuochen Wang, Xiangtai Li, Zhaoxiang Zhang
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	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	—	`conf`	Large Language Model Enhanced Recommender Systems: Methods, Applications and Trends. KDD (2) Qidong Liu, Xiangyu Zhao, Yuhao Wang, Yejing Wang, Zijian Zhang, Yuqi Sun, Xiang Li, Maolin Wang, Pengyue Jia, Chong Chen, Wei Huang, Feng Tian
2025	A*	`conf`	Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models. SIGIR Yuhao Wang, Junwei Pan, Pengyue Jia, Wanyu Wang, Maolin Wang, Zhixiang Feng, Xiaotian Li, Jie Jiang, Xiangyu Zhao
2025	A	`conf`	SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems. CIKM Pengyue Jia, Zhaocheng Du, Yichao Wang, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Qidong Liu, Huifeng Guo, Ruiming Tang
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`	Silent Leaks: Implicit Knowledge Extraction Attack on RAG Systems through Benign Queries. CoRR Yuhao Wang, Wenjie Qu, Yanze Jiang, Zichen Liu, Yue Liu, Shengfang Zhai, Yinpeng Dong, Jiaheng Zhang
2025	J	`jnl`	TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework. CoRR Chao Zhang, Yuhao Wang, Derong Xu, Haoxin Zhang, Yuanjie Lyu, Yuhao Chen, Shuochen Liu, Tong Xu, Xiangyu Zhao, Yan Gao, Yao Hu, Enhong Chen
2024	J	`jnl`	AltFS: Agency-light Feature Selection with Large Language Models in Deep Recommender Systems. CoRR Pengyue Jia, Zhaocheng Du, Yichao Wang, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Qidong Liu, Huifeng Guo, Ruiming Tang
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`	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`	G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models. NeurIPS Pengyue Jia, Yiding Liu, Xiaopeng Li, Xiangyu Zhao, Yuhao Wang, Yantong Du, Xiao Han, Xuetao Wei, Shuaiqiang Wang, Dawei Yin
2024	J	`jnl`	G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models. CoRR Pengyue Jia, Yiding Liu, Xiaopeng Li, Xiangyu Zhao, Yuhao Wang, Yantong Du, Xiao Han, Xuetao Wei, Shuaiqiang Wang, Dawei Yin
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`	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	J	`jnl`	Large Language Model Enhanced Recommender Systems: Taxonomy, Trend, Application and Future. CoRR Qidong Liu, Xiangyu Zhao, Yuhao Wang, Yejing Wang, Zijian Zhang, Yuqi Sun, Xiang Li, Maolin Wang, Pengyue Jia, Chong Chen, Wei Huang, Feng Tian
2024	A	`conf`	Multi-Granularity Modeling in Recommendation: from the Multi-Scenario Perspective. CIKM Yuhao Wang
2024	J	`jnl`	Multi-Level Graph Knowledge Contrastive Learning. IEEE Trans. Knowl. Data Eng. Haoran Yang, Yuhao Wang, Xiangyu Zhao, Hongxu Chen, Hongzhi Yin, Qing Li, Guandong Xu
2024	J	`jnl`	Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models. CoRR Yuhao Wang, Junwei Pan, Xiangyu Zhao, Pengyue Jia, Wanyu Wang, Yuan Wang, Yue Liu, Dapeng Liu, Jie Jiang
2024	J	`jnl`	Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark. CoRR Xiaopeng Li, Jingtong Gao, Pengyue Jia, Yichao Wang, Wanyu Wang, Yejing Wang, Yuhao Wang, Huifeng Guo, Ruiming Tang
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	A*	`conf`	AutoDPQ: Automated Differentiable Product Quantization for Embedding Compression. SIGIR Xin Gan, Yuhao Wang, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Zitao Liu
2023	A*	`conf`	Exploration and Regularization of the Latent Action Space in Recommendation. WWW Shuchang Liu, Qingpeng Cai, Bowen Sun, Yuhao Wang, Ji Jiang, Dong Zheng, Peng Jiang, Kun Gai, Xiangyu Zhao, Yongfeng Zhang
2023	J	`jnl`	Exploration and Regularization of the Latent Action Space in Recommendation. CoRR Shuchang Liu, Qingpeng Cai, Bowen Sun, Yuhao Wang, Ji Jiang, Dong Zheng, Kun Gai, Peng Jiang, Xiangyu Zhao, Yongfeng 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`	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
2023	J	`jnl`	Variational Reinforcement Learning for Hyper-Parameter Tuning of Adaptive Evolutionary Algorithm. IEEE Trans. Emerg. Top. Comput. Intell. Haotian Zhang, Jianyong Sun, Yuhao Wang, Jialong Shi, Zongben Xu
2020	J	`jnl`	Amortized Variational Deep Q Network. CoRR Haotian Zhang, Yuhao Wang, Jianyong Sun, Zongben Xu