Qiannan Zhu - RankMe

47 papers A* 11A 4B 2C 1Misc 2Journal 24Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Boundary-Aware Multi-Behavior Dynamic Graph Transformer for Sequential Recommendation. CoRR Jingsong Su, Xuetao Ma, Mingming Li, Qiannan Zhu, Yu Guo
2026	J	`jnl`	GUIGuard: Toward a General Framework for Privacy-Preserving GUI Agents. CoRR Yanxi Wang, Zhiling Zhang, Wenbo Zhou, Weiming Zhang, Jie Zhang, Qiannan Zhu, Yu Shi, Shuxin Zheng, Jiyan He
2025	J	`jnl`	A Unified Prompt-aware Framework for Personalized Search and Explanation Generation. ACM Trans. Inf. Syst. Haobo Zhang, Qiannan Zhu, Zhicheng Dou
2025	J	`jnl`	Applications of Equilibrium Decision Theory in Low-Carbon Economic Operation of Wind-Solar-Hydrogen Integrated Energy System Considering Prediction Uncertainties. IEEE Trans. Ind. Informatics Qiannan Zhu, Pengxia Chang, Shiqi Li, Yulong Xiao, Ting Wu, Lihao Li, Adnan Saeed, Chaoshun Li
2025	A	`conf`	Beyond Models! Explainable Data Valuation and Metric Adaption for Recommendation. SDM Renqi Jia, Xiaokun Zhang, Bowei He, Qiannan Zhu, Weitao Xu, Jiehao Chen, Chen Ma
2025	J	`jnl`	Beyond Models! Explainable Data Valuation and Metric Adaption for Recommendation. CoRR Renqi Jia, Xiaokun Zhang, Bowei He, Qiannan Zhu, Weitao Xu, Jiehao Chen, Chen Ma
2025	J	`jnl`	Discerning minds or generic tutors? Evaluating instructional guidance capabilities in Socratic LLMs. CoRR Ying Liu, Can Li, Ting Zhang, Mei Wang, Qiannan Zhu, Jian Li, Hua Huang
2025	Misc	`conf`	Efficient Non-Sequential Relational Modeling for Temporal Knowledge Graph Link Predictions. ICASSP Linhua Dong, Xiaofei Zhou, Qiannan Zhu, Xu Bai, Gang Xiong
2025	B	`conf`	Enhancing Reranking for Recommendation with LLMs through User Preference Retrieval. COLING Haobo Zhang, Qiannan Zhu, Zhicheng Dou
2025	B	`conf`	Federated Incremental Named Entity Recognition. COLING Zesheng Liu, Qiannan Zhu, Cuiping Li, Hong Chen
2025	J	`jnl`	From Answers to Questions: EQGBench for Evaluating LLMs' Educational Question Generation. CoRR Chengliang Zhou, Mei Wang, Ting Zhang, Qiannan Zhu, Jian Li, Hua Huang
2025	Misc	`conf`	Improving Embeddings by Refining Meanings for Temporal Knowledge Graph Link Predictions. ICASSP Linhua Dong, Xiaofei Zhou, Qiannan Zhu, Xu Bai, Gang Xiong
2025	A*	`conf`	Prototypical Replay with Old-class Focusing Knowledge Distillation for Incremental Named Entity Recognition. AAAI Zesheng Liu, Qiannan Zhu, Cuiping Li, Hong Chen
2025	J	`jnl`	Temporal knowledge graph link predictions with query-guided temporal representation learning. Inf. Sci. Linhua Dong, Xiaofei Zhou, Bo Wang, Qiannan Zhu, Fan Meng
2025	J	`jnl`	Towards Efficient VLMs: Information-Theoretic Driven Compression via Adaptive Structural Pruning. CoRR Zhaoqi Xu, Yingying Zhang, Jian Li, Jianwei Guo, Qiannan Zhu, Hua Huang
2024	A*	`conf`	CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning. IJCAI Zheqi He, Xinya Wu, Pengfei Zhou, Richeng Xuan, Guang Liu, Xi Yang, Qiannan Zhu, Hua Huang
2024	J	`jnl`	CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning. CoRR Zheqi He, Xinya Wu, Pengfei Zhou, Richeng Xuan, Guang Liu, Xi Yang, Qiannan Zhu, Hua Huang
2024	A*	`conf`	Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism. WWW Yujia Zhou, Qiannan Zhu, Jiajie Jin, Zhicheng Dou
2024	J	`jnl`	Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism. CoRR Yujia Zhou, Qiannan Zhu, Jiajie Jin, Zhicheng Dou
2024	—	`conf`	Few-Shot Learning for Cold-Start Recommendation. LREC/COLING Mingming Li, Songlin Hu, Fuqing Zhu, Qiannan Zhu
2024	J	`jnl`	Personalized and Diversified: Ranking Search Results in an Integrated Way. ACM Trans. Inf. Syst. Shuting Wang, Zhicheng Dou, Jiongnan Liu, Qiannan Zhu, Ji-Rong Wen
2024	J	`jnl`	Query-Aware Explainable Product Search With Reinforcement Knowledge Graph Reasoning. IEEE Trans. Knowl. Data Eng. Qiannan Zhu, Haobo Zhang, Qing He, Zhicheng Dou
2023	J	`jnl`	An ensemble interval prediction model with change point detection and interval perturbation-based adjustment strategy: A case study of air quality. Expert Syst. Appl. Feng Jiang, Qiannan Zhu, Tianhai Tian
2023	J	`jnl`	Breast Cancer Detection Based on Modified Harris Hawks Optimization and Extreme Learning Machine Embedded with Feature Weighting. Neural Process. Lett. Feng Jiang, Qiannan Zhu, Tianhai Tian
2023	A	`conf`	Cognition-aware Knowledge Graph Reasoning for Explainable Recommendation. WSDM Qingyu Bing, Qiannan Zhu, Zhicheng Dou
2023	J	`jnl`	Integrating Representation and Interaction for Context-Aware Document Ranking. ACM Trans. Inf. Syst. Haonan Chen, Zhicheng Dou, Qiannan Zhu, Xiaochen Zuo, Ji-Rong Wen
2022	A*	`conf`	A Category-aware Multi-interest Model for Personalized Product Search. WWW Jiongnan Liu, Zhicheng Dou, Qiannan Zhu, Ji-Rong Wen
2022	A*	`conf`	A Gain-Tuning Dynamic Negative Sampler for Recommendation. WWW Qiannan Zhu, Haobo Zhang, Qing He, Zhicheng Dou
2022	A	`conf`	A Neighborhood-Attention Fine-grained Entity Typing for Knowledge Graph Completion. WSDM Jianhuan Zhuo, Qiannan Zhu, Yinliang Yue, Yuhong Zhao, Weisi Han
2022	J	`jnl`	Clustering-based interval prediction of electric load using multi-objective pathfinder algorithm and Elman neural network. Appl. Soft Comput. Feng Jiang, Qiannan Zhu, Jiawei Yang, Guici Chen, Tianhai Tian
2022	A*	`conf`	How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View. AAAI Ren Li, Yanan Cao, Qiannan Zhu, Guanqun Bi, Fang Fang, Yi Liu, Qian Li
2022	J	`jnl`	Knowledge Graph Embedding by Double Limit Scoring Loss. IEEE Trans. Knowl. Data Eng. Xiaofei Zhou, Lingfeng Niu, Qiannan Zhu, Xingquan Zhu, Ping Liu, Jianlong Tan, Li Guo
2022	A*	`conf`	Learning Explicit User Interest Boundary for Recommendation. WWW Jianhuan Zhuo, Qiannan Zhu, Yinliang Yue, Yuhong Zhao
2021	J	`jnl`	How Does Knowledge Graph Embedding Extrapolate to Unseen Data: a Semantic Evidence View. CoRR Ren Li, Yanan Cao, Qiannan Zhu, Guanqun Bi, Fang Fang, Yi Liu, Qian Li
2021	J	`jnl`	Is There More Pattern in Knowledge Graph? Exploring Proximity Pattern for Knowledge Graph Embedding. CoRR Ren Li, Yanan Cao, Qiannan Zhu, Xiaoxue Li, Fang Fang
2021	J	`jnl`	Knowledge Base Reasoning with Convolutional-Based Recurrent Neural Networks. IEEE Trans. Knowl. Data Eng. Qiannan Zhu, Xiaofei Zhou, Jianlong Tan, Li Guo
2021	J	`jnl`	Learning Explicit User Interest Boundary for Recommendation. CoRR Jianhuan Zhuo, Qiannan Zhu, Yinliang Yue, Yuhong Zhao
2021	J	`jnl`	Sentiment Analysis of Review Text Based on BiGRU-Attention and Hybrid CNN. IEEE Access Qiannan Zhu, Xiaofan Jiang, Renzhen Ye
2020	A*	`conf`	A Knowledge-Aware Attentional Reasoning Network for Recommendation. AAAI Qiannan Zhu, Xiaofei Zhou, Jia Wu, Jianlong Tan, Li Guo
2020	A*	`conf`	A Relation-Specific Attention Network for Joint Entity and Relation Extraction. IJCAI Yue Yuan, Xiaofei Zhou, Shirui Pan, Qiannan Zhu, Zeliang Song, Li Guo
2019	J	`jnl`	A neural translating general hyperplane for knowledge graph embedding. J. Comput. Sci. Qiannan Zhu, Xiaofei Zhou, Peng Zhang, Yong Shi
2019	A*	`conf`	DAN: Deep Attention Neural Network for News Recommendation. AAAI Qiannan Zhu, Xiaofei Zhou, Zeliang Song, Jianlong Tan, Li Guo
2019	C	`conf`	Multilingual Knowledge Graph Embeddings with Neural Networks. ICDS Qiannan Zhu, Xiaofei Zhou, Yuwen Wu, Ping Liu, Li Guo
2019	A*	`conf`	Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs. IJCAI Qiannan Zhu, Xiaofei Zhou, Jia Wu, Jianlong Tan, Li Guo
2018	—	`conf`	Learning Knowledge Graph Embeddings via Generalized Hyperplanes. ICCS (1) Qiannan Zhu, Xiaofei Zhou, Jianlong Tan, Ping Liu, Li Guo
2017	A	`conf`	Learning Knowledge Embeddings by Combining Limit-based Scoring Loss. CIKM Xiaofei Zhou, Qiannan Zhu, Ping Liu, Li Guo
2014	—	`conf`	A New Rough Set Based Classification Rule Generation Algorithm(RGA). IEA/AIE (1) Honghai Feng, Yanyan Chen, Kaiwei Zou, Lijuan Liu, Qiannan Zhu, Zhuo Ran, Li Yao, Lijin Ji, Sai Liu