Fangli Xu - RankMe

36 papers A* 5A 2Journal 25Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Ask Questions With Double Hints: Visual Question Generation With Answer-Awareness and Region-Reference. IEEE Trans. Pattern Anal. Mach. Intell. Kai Shen, Lingfei Wu, Siliang Tang, Fangli Xu, Bo Long, Yueting Zhuang, Jian Pei
2024	J	`jnl`	Ask Questions with Double Hints: Visual Question Generation with Answer-awareness and Region-reference. CoRR Kai Shen, Lingfei Wu, Siliang Tang, Fangli Xu, Bo Long, Yueting Zhuang, Jian Pei
2024	J	`jnl`	Multi-Interest Multi-Round Conversational Recommendation System with Fuzzy Feedback Based User Simulator. Trans. Recomm. Syst. Qi Shen, Lingfei Wu, Yiming Zhang, Yitong Pang, Zhihua Wei, Fangli Xu, Bo Long, Jian Pei
2023	J	`jnl`	Graph Learning Augmented Heterogeneous Graph Neural Network for Social Recommendation. Trans. Recomm. Syst. Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long
2023	J	`jnl`	Multilevel Graph Matching Networks for Deep Graph Similarity Learning. IEEE Trans. Neural Networks Learn. Syst. Xiang Ling, Lingfei Wu, Saizhuo Wang, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji
2022	J	`jnl`	Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing. ACM Trans. Knowl. Discov. Data Hanlu Wu, Tengfei Ma, Lingfei Wu, Fangli Xu, Shouling Ji
2022	—	`conf`	Feeding What You Need by Understanding What You Learned. ACL (1) Xiaoqiang Wang, Bang Liu, Fangli Xu, Bo Long, Siliang Tang, Lingfei Wu
2022	J	`jnl`	Feeding What You Need by Understanding What You Learned. CoRR Xiaoqiang Wang, Bang Liu, Fangli Xu, Bo Long, Siliang Tang, Lingfei Wu
2022	—	`conf`	Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph. AACL/IJCNLP (1) Hanning Gao, Lingfei Wu, Po Hu, Zhihua Wei, Fangli Xu, Bo Long
2022	A	`conf`	Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation. WSDM Yitong Pang, Lingfei Wu, Qi Shen, Yiming Zhang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long, Jian Pei
2022	A*	`conf`	Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation. WWW Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Bo Long, Jian Pei
2022	J	`jnl`	Student Modeling and Analysis in Adaptive Instructional Systems. IEEE Access Jing Liang, Ryan Hare, Tianyu Chang, Fangli Xu, Ying Tang, Fei-Yue Wang, Shimeng Peng, Mingyu Lei
2021	J	`jnl`	Constructing Contrastive samples via Summarization for Text Classification with limited annotations. CoRR Yangkai Du, Tengfei Ma, Lingfei Wu, Fangli Xu, Xuhong Zhang, Shouling Ji
2021	—	`conf`	Constructing contrastive samples via summarization for text classification with limited annotations. EMNLP (Findings) Yangkai Du, Tengfei Ma, Lingfei Wu, Fangli Xu, Xuhong Zhang, Bo Long, Shouling Ji
2021	J	`jnl`	Deep Graph Matching and Searching for Semantic Code Retrieval. ACM Trans. Knowl. Discov. Data Xiang Ling, Lingfei Wu, Saizhuo Wang, Gaoning Pan, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji
2021	J	`jnl`	Graph Learning Augmented Heterogeneous Graph Neural Network for Social Recommendation. CoRR Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long
2021	J	`jnl`	Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph. CoRR Hanning Gao, Lingfei Wu, Po Hu, Zhihua Wei, Fangli Xu, Bo Long
2021	J	`jnl`	Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation. CoRR Yitong Pang, Lingfei Wu, Qi Shen, Yiming Zhang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long
2021	J	`jnl`	Multi-Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation. CoRR Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Bo Long, Jian Pei
2021	J	`jnl`	Multi-behavior Graph Contextual Aware Network for Session-based Recommendation. CoRR Qi Shen, Lingfei Wu, Yitong Pang, Yiming Zhang, Zhihua Wei, Fangli Xu, Bo Long
2021	J	`jnl`	RDF-to-Text Generation with Reinforcement Learning Based Graph-augmented Structural Neural Encoders. CoRR Hanning Gao, Lingfei Wu, Po Hu, Zhihua Wei, Fangli Xu, Bo Long
2020	J	`jnl`	Deep Graph Matching and Searching for Semantic Code Retrieval. CoRR Xiang Ling, Lingfei Wu, Saizhuo Wang, Gaoning Pan, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji
2020	—	`conf`	Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem. EMNLP (Findings) Shucheng Li, Lingfei Wu, Shiwei Feng, Fangli Xu, Fengyuan Xu, Sheng Zhong
2020	J	`jnl`	Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem. CoRR Shucheng Li, Lingfei Wu, Shiwei Feng, Fangli Xu, Fengyuan Xu, Sheng Zhong
2020	A*	`conf`	Hierarchical Attention Based Spatial-Temporal Graph-to-Sequence Learning for Grounded Video Description. IJCAI Kai Shen, Lingfei Wu, Fangli Xu, Siliang Tang, Jun Xiao, Yueting Zhuang
2020	J	`jnl`	Hierarchical Graph Matching Networks for Deep Graph Similarity Learning. CoRR Xiang Ling, Lingfei Wu, Saizhuo Wang, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji
2020	A*	`conf`	RDF-to-Text Generation with Graph-augmented Structural Neural Encoders. IJCAI Hanning Gao, Lingfei Wu, Po Hu, Fangli Xu
2019	J	`jnl`	MUTLA: A Large-Scale Dataset for Multimodal Teaching and Learning Analytics. CoRR Fangli Xu, Lingfei Wu, K. P. Thai, Carol Hsu, Wei Wang, Richard Jiarui Tong
2018	J	`jnl`	D2KE: From Distance to Kernel and Embedding. CoRR Lingfei Wu, Ian En-Hsu Yen, Fangli Xu, Pradeep Ravikumar, Michael Witbrock
2018	A	`conf`	Random Warping Series: A Random Features Method for Time-Series Embedding. AISTATS Lingfei Wu, Ian En-Hsu Yen, Jinfeng Yi, Fangli Xu, Qi Lei, Michael Witbrock
2018	J	`jnl`	Random Warping Series: A Random Features Method for Time-Series Embedding. CoRR Lingfei Wu, Ian En-Hsu Yen, Jinfeng Yi, Fangli Xu, Qi Lei, Michael Witbrock
2018	A*	`conf`	Scalable Spectral Clustering Using Random Binning Features. KDD Lingfei Wu, Pin-Yu Chen, Ian En-Hsu Yen, Fangli Xu, Yinglong Xia, Charu C. Aggarwal
2018	J	`jnl`	Scalable Spectral Clustering Using Random Binning Features. CoRR Lingfei Wu, Pin-Yu Chen, Ian En-Hsu Yen, Fangli Xu, Yinglong Xia, Charu C. Aggarwal
2018	A*	`conf`	Word Mover's Embedding: From Word2Vec to Document Embedding. EMNLP Lingfei Wu, Ian En-Hsu Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan, Pin-Yu Chen, Pradeep Ravikumar, Michael J. Witbrock
2018	J	`jnl`	Word Mover's Embedding: From Word2Vec to Document Embedding. CoRR Lingfei Wu, Ian En-Hsu Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan, Pin-Yu Chen, Pradeep Ravikumar, Michael J. Witbrock
2012	J	`jnl`	Overview of 3GPP LTE-advanced carrier aggregation for 4G wireless communications. IEEE Commun. Mag. Zukang Shen, Aris Papasakellariou, Juan Montojo, Dirk Gerstenberger, Fangli Xu