Huiting Liu - RankMe

37 papers A* 1Journal 34Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DRUM: Distributionally robust optimization for LLM-based user model in interactive recommendation. Inf. Process. Manag. Huiting Liu, Yao Quan, Zirui Wang, Haiping Ma, Xindong Wu
2025	J	`jnl`	A multi-agent reinforcement learning framework for cross-domain sequential recommendation. Neural Networks Huiting Liu, Junyi Wei, Kaiwen Zhu, Pei-Pei Li, Peng Zhao, Xindong Wu
2025	J	`jnl`	Causal Meta-learning with Multi-view Graphs for Cold-start Recommendation. ACM Trans. Knowl. Discov. Data Huiting Liu, Wei Zhang, Pei-Pei Li, Peng Zhao, Xindong Wu
2025	J	`jnl`	Denoising Implicit Feedback for Graph Collaborative Filtering via Causal Intervention. IEEE Trans. Big Data Huiting Liu, Huaxiu Zhang, Peipei Li, Peng Zhao, Xindong Wu
2025	J	`jnl`	Dynamic Graph Learning to Denoise Implicit Feedback for Graph Collaborative Filtering. IEEE Trans. Comput. Soc. Syst. Huiting Liu, Xinchen Xiong, Pei-Pei Li, Peng Zhao, Xindong Wu
2025	J	`jnl`	Robust label propagation based on prior-guided cross domain data augmentation for few-shot unsupervised domain adaptation. Knowl. Based Syst. Peng Zhao, Jiakun Shi, Ping Ye, Huiting Liu, Xia Ji
2025	J	`jnl`	Unbiased Meta Reinforcement Learning for Interactive Recommender Systems. IEEE Trans. Multim. Huiting Liu, Xinlong Lv, Peng Zhao, Peipei Li, Xindong Wu
2024	J	`jnl`	DeepCPR: Deep Path Reasoning Using Sequence of User-Preferred Attributes for Conversational Recommendation. ACM Trans. Knowl. Discov. Data Huiting Liu, Yu Zhang, Peipei Li, Cheng Qian, Peng Zhao, Xindong Wu
2024	J	`jnl`	Few-shot learning based on prototype rectification with a self-attention mechanism. Expert Syst. Appl. Peng Zhao, Liang Wang, Xuyang Zhao, Huiting Liu, Xia Ji
2024	A*	`conf`	Multi-Attention Based Visual-Semantic Interaction for Few-Shot Learning. IJCAI Peng Zhao, Yin Wang, Wei Wang, Jie Mu, Huiting Liu, Cong Wang, Xiaochun Cao
2024	J	`jnl`	Multi-scale task-aware structure graph modeling for few-shot image recognition. Pattern Recognit. Peng Zhao, Zilong Ye, Liang Wang, Huiting Liu, Xia Ji
2023	J	`jnl`	Enhancing review-based user representation on learned social graph for recommendation. Knowl. Based Syst. Huiting Liu, Yi Chen, Pei-Pei Li, Peng Zhao, Xindong Wu
2023	J	`jnl`	Feature relocation network for fine-grained image classification. Neural Networks Peng Zhao, Yi Li, Baowei Tang, Huiting Liu, Sheng Yao
2023	J	`jnl`	REDRL: A review-enhanced Deep Reinforcement Learning model for interactive recommendation. Expert Syst. Appl. Huiting Liu, Kun Cai, Peipei Li, Cheng Qian, Peng Zhao, Xindong Wu
2023	J	`jnl`	Relation-propagation meta-learning on an explicit preference graph for cold-start recommendation. Knowl. Based Syst. Huiting Liu, Lei Wang, Peipei Li, Cheng Qian, Peng Zhao, Xindong Wu
2023	J	`jnl`	Zero-shot learning via visual feature enhancement and dual classifier learning for image recognition. Inf. Sci. Peng Zhao, Huihui Xue, Xia Ji, Huiting Liu, Li Han
2022	J	`jnl`	A deep selective learning network for cross-domain recommendation. Appl. Soft Comput. Huiting Liu, Qian Liu, Peipei Li, Peng Zhao, Xindong Wu
2022	J	`jnl`	Partial multi-label learning based on sparse asymmetric label correlations. Knowl. Based Syst. Peng Zhao, Shiyi Zhao, Xuyang Zhao, Huiting Liu, Xia Ji
2021	J	`jnl`	Collaborative filtering with a deep adversarial and attention network for cross-domain recommendation. Inf. Sci. Huiting Liu, Lingling Guo, Peipei Li, Peng Zhao, Xindong Wu
2021	J	`jnl`	Multi-label text classification via joint learning from label embedding and label correlation. Neurocomputing Huiting Liu, Geng Chen, Pei-Pei Li, Peng Zhao, Xindong Wu
2021	J	`jnl`	Robust transfer learning based on Geometric Mean Metric Learning. Knowl. Based Syst. Peng Zhao, Tao Wu, Shiyi Zhao, Huiting Liu
2021	J	`jnl`	Shared-view and specific-view information extraction for recommendation. Expert Syst. Appl. Huiting Liu, Jindou Zhao, Peipei Li, Peng Zhao, Xindong Wu
2021	J	`jnl`	Zero-shot Learning via the fusion of generation and embedding for image recognition. Inf. Sci. Peng Zhao, Siying Zhang, Jinhui Liu, Huiting Liu
2020	J	`jnl`	A Transductive Transfer Learning Approach Based on Manifold Learning. Comput. Sci. Eng. Peng Zhao, Guoqin Wu, Sheng Yao, Huiting Liu
2020	J	`jnl`	Collaborative deep recommendation with global and local item correlations. Neurocomputing Huiting Liu, Huimin Liu, Qiang Ji, Peng Zhao, Xindong Wu
2019	J	`jnl`	Document Specific Supervised Keyphrase Extraction With Strong Semantic Relations. IEEE Access Huiting Liu, Lili Wang, Peng Zhao, Xindong Wu
2018	J	`jnl`	Collaborative social deep learning for celebrity recommendation. Intell. Data Anal. Huiting Liu, Liangquan Yang, Chao Ling, Xindong Wu
2018	J	`jnl`	Efficient pattern matching with periodical wildcards in uncertain sequences. Intell. Data Anal. Huiting Liu, Lili Wang, Zhizhong Liu, Peng Zhao, Xindong Wu
2018	J	`jnl`	Mining frequent itemsets over uncertain data streams. Int. J. High Perform. Comput. Netw. Huiting Liu, Kaishen Zhou, Peng Zhao, Sheng Yao
2018	J	`jnl`	Supervised Convolutional Matrix Factorization for Document Recommendation. Int. J. Comput. Intell. Appl. Huiting Liu, Chao Ling, Liangquan Yang, Peng Zhao
2018	J	`jnl`	Transfer robust sparse coding based on graph and joint distribution adaption for image representation. Knowl. Based Syst. Peng Zhao, Wei Wang, Yijuan Lu, Huiting Liu, Sheng Yao
2018	J	`jnl`	实时个性化微博推荐系统 (Real-time Personalized Micro-blog Recommendation System). 计算机科学 Huiting Liu, Lei Cheng, Xiaoxue Guo, Peng Zhao
2016	J	`jnl`	基于近邻传播的文本数据流聚类算法研究 (Research of Text Data Streams Clustering Algorithm Based on Affinity Propagation). 计算机科学 Yiming Li, Liping Ni, Qinghua Fang, Huiting Liu
2015	J	`jnl`	无线多跳网络上基于网络编码的多源多播算法 (Algorithm for Multisource Multicast with Network Coding over Multi-hop Wireless Networks). 计算机科学 Li Han, Huanyan Qian, Huiting Liu
2012	J	`jnl`	Design, simulation, fabrication and characterization of a micro electromagnetic vibration energy harvester with sandwiched structure and air channel. Microelectron. J. Peihong Wang, Huiting Liu, Xuhan Dai, Zhuoqing Yang, Zhongzhu Wang, Xiao-Lin Zhao
2007	—	`conf`	Extracting Trend of Time Series Based on Improved Empirical Mode Decomposition Method. APWeb/WAIM Huiting Liu, Zhiwei Ni, Jianyang Li
2006	—	`conf`	Time Series Similar Pattern Matching Based on Empirical Mode Decomposition. ISDA (1) Huiting Liu, Zhiwei Ni, Jianyang Li