Overview of 3GPP LTE-advanced carrier aggregation for 4G wireless communications. - Zukang Shen; Aris Papasakellariou; Juan Montojo; Dirk Gerstenberger; Fangli Xu (IEEE Commun. Mag., 2012)

Random Warping Series: A Random Features Method for Time-Series Embedding. - Lingfei Wu 001; Ian En-Hsu Yen; Jinfeng Yi; Fangli Xu; Qi Lei; Michael Witbrock (AISTATS, 2018)

Word Mover's Embedding: From Word2Vec to Document Embedding. - Lingfei Wu 001; Ian En-Hsu Yen; Kun Xu 005; Fangli Xu; Avinash Balakrishnan; Pin-Yu Chen; Pradeep Ravikumar; Michael J. Witbrock (EMNLP, 2018)

Scalable Spectral Clustering Using Random Binning Features. - Lingfei Wu 001; Pin-Yu Chen; Ian En-Hsu Yen; Fangli Xu; Yinglong Xia; Charu C. Aggarwal (KDD, 2018)

D2KE: From Distance to Kernel and Embedding. - Lingfei Wu 001; Ian En-Hsu Yen; Fangli Xu; Pradeep Ravikumar; Michael Witbrock (CoRR, 2018)

MUTLA: A Large-Scale Dataset for Multimodal Teaching and Learning Analytics. - Fangli Xu; Lingfei Wu 001; K. P. Thai; Carol Hsu; Wei Wang; Richard Jiarui Tong (CoRR, 2019)

Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem. - Shucheng Li; Lingfei Wu 001; Shiwei Feng 002; Fangli Xu; Fengyuan Xu; Sheng Zhong 002 (EMNLP (Findings), 2020)

RDF-to-Text Generation with Graph-augmented Structural Neural Encoders. - Hanning Gao; Lingfei Wu 001; Po Hu; Fangli Xu (IJCAI, 2020)

Hierarchical Attention Based Spatial-Temporal Graph-to-Sequence Learning for Grounded Video Description. - Kai Shen; Lingfei Wu 001; Fangli Xu; Siliang Tang; Jun Xiao 001; Yueting Zhuang (IJCAI, 2020)

Hierarchical Graph Matching Networks for Deep Graph Similarity Learning. - Xiang Ling 001; Lingfei Wu 001; Saizhuo Wang; Tengfei Ma 001; Fangli Xu; Alex X. Liu; Chunming Wu 001; Shouling Ji (CoRR, 2020)

Constructing contrastive samples via summarization for text classification with limited annotations. - Yangkai Du; Tengfei Ma 001; Lingfei Wu 001; Fangli Xu; Xuhong Zhang 002; Bo Long; Shouling Ji (EMNLP (Findings), 2021)

Constructing Contrastive samples via Summarization for Text Classification with limited annotations. - Yangkai Du; Tengfei Ma 001; Lingfei Wu 001; Fangli Xu; Xuhong Zhang 002; Shouling Ji (CoRR, 2021)

Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation. - Yitong Pang; Lingfei Wu 001; Qi Shen 001; Yiming Zhang 020; Zhihua Wei 001; Fangli Xu; Ethan Chang; Bo Long (CoRR, 2021)

Multi-behavior Graph Contextual Aware Network for Session-based Recommendation. - Qi Shen 001; Lingfei Wu 001; Yitong Pang; Yiming Zhang 020; Zhihua Wei 001; Fangli Xu; Bo Long (CoRR, 2021)

RDF-to-Text Generation with Reinforcement Learning Based Graph-augmented Structural Neural Encoders. - Hanning Gao; Lingfei Wu 001; Po Hu; Zhihua Wei 001; Fangli Xu; Bo Long (CoRR, 2021)

Multi-Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation. - Yiming Zhang 020; Lingfei Wu 001; Qi Shen 001; Yitong Pang; Zhihua Wei 001; Fangli Xu; Bo Long; Jian Pei 001 (CoRR, 2021)

Deep Graph Matching and Searching for Semantic Code Retrieval. - Xiang Ling 001; Lingfei Wu 001; Saizhuo Wang; Gaoning Pan; Tengfei Ma 001; Fangli Xu; Alex X. Liu; Chunming Wu 001; Shouling Ji (ACM Trans. Knowl. Discov. Data, 2021)

Feeding What You Need by Understanding What You Learned. - Xiaoqiang Wang 007; Bang Liu; Fangli Xu; Bo Long; Siliang Tang; Lingfei Wu 001 (ACL (1), 2022)

Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph. - Hanning Gao; Lingfei Wu 001; Po Hu; Zhihua Wei 001; Fangli Xu; Bo Long (AACL/IJCNLP (1), 2022)

Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation. - Yitong Pang; Lingfei Wu 001; Qi Shen 001; Yiming Zhang 020; Zhihua Wei 001; Fangli Xu; Ethan Chang; Bo Long; Jian Pei 001 (WSDM, 2022)

Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation. - Yiming Zhang 020; Lingfei Wu 001; Qi Shen 001; Yitong Pang; Zhihua Wei 001; Fangli Xu; Bo Long; Jian Pei 001 (WWW, 2022)

Student Modeling and Analysis in Adaptive Instructional Systems. - Jing Liang 008; Ryan Hare; Tianyu Chang; Fangli Xu; Ying Tang 001; Fei-Yue Wang 001; Shimeng Peng; Mingyu Lei (IEEE Access, 2022)

Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing. - Hanlu Wu; Tengfei Ma 001; Lingfei Wu 001; Fangli Xu; Shouling Ji (ACM Trans. Knowl. Discov. Data, 2022)

Multilevel Graph Matching Networks for Deep Graph Similarity Learning. - Xiang Ling 001; Lingfei Wu 001; Saizhuo Wang; Tengfei Ma 001; Fangli Xu; Alex X. Liu; Chunming Wu 001; Shouling Ji (IEEE Trans. Neural Networks Learn. Syst., 2023)

Graph Learning Augmented Heterogeneous Graph Neural Network for Social Recommendation. - Yiming Zhang 020; Lingfei Wu 001; Qi Shen 001; Yitong Pang; Zhihua Wei 001; Fangli Xu; Ethan Chang; Bo Long (Trans. Recomm. Syst., 2023)

Ask Questions With Double Hints: Visual Question Generation With Answer-Awareness and Region-Reference. - Kai Shen; Lingfei Wu 001; Siliang Tang; Fangli Xu; Bo Long; Yueting Zhuang; Jian Pei 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Multi-Interest Multi-Round Conversational Recommendation System with Fuzzy Feedback Based User Simulator. - Qi Shen 001; Lingfei Wu 001; Yiming Zhang 020; Yitong Pang; Zhihua Wei 001; Fangli Xu; Bo Long; Jian Pei 001 (Trans. Recomm. Syst., 2024)