He Huang

13 papers A* 2A 1B 1Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2021 J jnl
Translational Concept Embedding for Generalized Compositional Zero-shot Learning.
CoRR
He Huang, Wei Tang, Jiawei Zhang, Philip S. Yu
2020 — conf
Addressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score.
ACCV (6)
He Huang, Shunta Saito, Yuta Kikuchi, Eiichi Matsumoto, Wei Tang, Philip S. Yu
2020 J jnl
Addressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score.
CoRR
He Huang, Shunta Saito, Yuta Kikuchi, Eiichi Matsumoto, Wei Tang, Philip S. Yu
2020 A conf
Multi-label Zero-shot Classification by Learning to Transfer from External Knowledge.
BMVC
He Huang, Wei Tang, Philip S. Yu, Yuanwei Chen, Wenhao Zheng, Qing-Guo Chen
2020 J jnl
Multi-label Zero-shot Classification by Learning to Transfer from External Knowledge.
CoRR
He Huang, Yuanwei Chen, Wei Tang, Wenhao Zheng, Qing-Guo Chen, Yao Hu, Philip S. Yu
2019 J jnl
Deep Latent Factor Model with Hierarchical Similarity Measure for recommender systems.
Inf. Sci.
Jiayu Han, Lei Zheng, He Huang, Yuanbo Xu, Philip S. Yu, Wanli Zuo
2019 A* conf
Generative Dual Adversarial Network for Generalized Zero-Shot Learning.
CVPR
He Huang, Changhu Wang, Philip S. Yu, Chang-Dong Wang
2019 B conf
MARS: Memory Attention-Aware Recommender System.
DSAA
Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, He Huang, Chaozhuo Li, Vahid Noroozi, Bowen Dong, Philip S. Yu
2018 J jnl
An Introduction to Image Synthesis with Generative Adversarial Nets.
CoRR
He Huang, Philip S. Yu, Changhu Wang
2018 J jnl
Generative Dual Adversarial Network for Generalized Zero-shot Learning.
CoRR
He Huang, Changhu Wang, Philip S. Yu, Chang-Dong Wang
2018 J jnl
MARS: Memory Attention-Aware Recommender System.
CoRR
Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, Vahid Noroozi, He Huang, Philip S. Yu
2018 A* conf
dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction.
ICDM
He Huang, Bokai Cao, Philip S. Yu, Chang-Dong Wang, Alex D. Leow
2018 J jnl
dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction.
CoRR
He Huang, Bokai Cao, Philip S. Yu, Chang-Dong Wang, Alex D. Leow