Multimodality Representation Learning: A Survey on Evolution, Pretraining and Its Applications, Muhammad Arslan Manzoor, Sarah Albarri, Ziting Xian, Zaiqiao Meng, Preslav Nakov, Shangsong Liang
Natural Language Processing Faculty Publications

Cross-Temporal Snapshot Alignment for Dynamic Networks, Shangsong Liang, Shaowei Tang, Zaiqiao Meng, Qiang Zhang
Shangsong Liang

Enhancing Conversational Recommendation Systems with Representation Fusion, Yingxu Wang, Xiaoru Chen, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang
Shangsong Liang

Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network, Guanzheng Chen, Jinyuan Fang, Zaiqiao Meng, Qiang Zhang, Shangsong Liang
Shangsong Liang

Cross-Temporal Snapshot Alignment for Dynamic Networks, Shangsong Liang, Shaowei Tang, Zaiqiao Meng, Qiang Zhang
Machine Learning Faculty Publications

Enhancing Conversational Recommendation Systems with Representation Fusion, Yingxu Wang, Xiaoru Chen, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang
Machine Learning Faculty Publications

Meta-Learning Helps Personalized Product Search, Bin Wu, Zaiqiao Meng, Qiang Zhang, Shangsong Liang
Shangsong Liang

Structure-Aware Random Fourier Kernel for Graphs, Jinyuan Fang, Qiang Zhang, Zaiqiao Meng, Shangsong Liang
Shangsong Liang

Variational Continual Bayesian Meta-Learning, Qiang Zhang, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang, Emine Yilmaz
Shangsong Liang

Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network, Guanzheng Chen, Jinyuan Fang, Zaiqiao Meng, Qiang Zhang, Shangsong Liang
Machine Learning Faculty Publications

Profiling Users for Question Answering Communities via Flow-Based Constrained Co-Embedding Model, Shangsong Liang, Yupeng Luo, Zaiqiao Meng
Shangsong Liang

Hyperspherical Variational Co-embedding for Attributed Networks, Jinyuan Fang, Shangsong Liang, Zaiqiao Meng, Maarten De Rijke
Shangsong Liang

Personalized, Sequential, Attentive, Metric-Aware Product Search, Yaoxin Pan, Shangsong Liang, Jiaxin Ren, Zaiqiao Meng, Qiang Zhang
Machine Learning Faculty Publications

Meta-Learning Helps Personalized Product Search, Bin Wu, Zaiqiao Meng, Qiang Zhang, Shangsong Liang
Machine Learning Faculty Publications

Personalized, Sequential, Attentive, Metric-Aware Product Search, Yaoxin Pan, Shangsong Liang, Jiaxin Ren, Zaiqiao Meng, Qiang Zhang
Shangsong Liang

Revisiting Parameter-Efficient Tuning: Are We Really There Yet?, Guanzheng Chen, Fangyu Liu, Zaiqiao Meng, Shangsong Liang
Machine Learning Faculty Publications

Variational Continual Bayesian Meta-Learning, Qiang Zhang, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang, Emine Yilmaz
Machine Learning Faculty Publications

Structure-Aware Random Fourier Kernel for Graphs, Jinyuan Fang, Qiang Zhang, Zaiqiao Meng, Shangsong Liang
Machine Learning Faculty Publications

Hyperspherical Variational Co-embedding for Attributed Networks, Jinyuan Fang, Shangsong Liang, Zaiqiao Meng, Maarten De Rijke
Machine Learning Faculty Publications

Profiling Users for Question Answering Communities via Flow-Based Constrained Co-Embedding Model, Shangsong Liang, Yupeng Luo, Zaiqiao Meng
Machine Learning Faculty Publications

A Normalizing Flow-Based Co-Embedding Model for Attributed Networks, Shangsong Liang, Zhuo Ouyang, Zaiqiao Meng
Machine Learning Faculty Publications