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Kai Wang

Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings


Jan 03, 2022
Kai Wang, Yu Liu, Quan Z. Sheng

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* 10 pages 
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Roominoes: Generating Novel 3D Floor Plans From Existing 3D Rooms


Dec 10, 2021
Kai Wang, Xianghao Xu, Leon Lei, Selena Ling, Natalie Lindsay, Angel X. Chang, Manolis Savva, Daniel Ritchie

* Computer Graphics Forum, 40: 57-69 (2021) 
 * Symposium on Geometry Processing (SGP) 2021 
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The Shape Part Slot Machine: Contact-based Reasoning for Generating 3D Shapes from Parts


Dec 01, 2021
Kai Wang, Paul Guerrero, Vladimir Kim, Siddhartha Chaudhuri, Minhyuk Sung, Daniel Ritchie

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Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition


Nov 11, 2021
Kai Wang, Xialei Liu, Andy Bagdanov, Luis Herranz, Shangling Jui, Joost van de Weijer

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MutFormer: A context-dependent transformer-based model to predict pathogenic missense mutations


Oct 27, 2021
Theodore Jiang, Li Fang, Kai Wang

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* 15 pages, 4 figures, 4 tables 
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HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification


Oct 22, 2021
Kai Wang, Xialei Liu, Luis Herranz, Joost van de Weijer

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* accepted in BMVC 2021 
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RL4RS: A Real-World Benchmark for Reinforcement Learning based Recommender System


Oct 18, 2021
Kai Wang, Zhene Zou, Qilin Deng, Yue Shang, Minghao Zhao, Runze Wu, Xudong Shen, Tangjie Lyu, Changjie Fan

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* First version 
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Feudal Reinforcement Learning by Reading Manuals


Oct 13, 2021
Kai Wang, Zhonghao Wang, Mo Yu, Humphrey Shi

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Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms


Sep 04, 2021
Ruizhi Chen, Xiaoyu Wu, Yansong Pan, Kaizhao Yuan, Ling Li, TianYun Ma, JiYuan Liang, Rui Zhang, Kai Wang, Chen Zhang, Shaohui Peng, Xishan Zhang, Zidong Du, Qi Guo, Yunji Chen

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* 19 pages,16 figures 
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Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling


Jul 07, 2021
Kai Wang, Bryan Wilder, Sze-chuan Suen, Bistra Dilkina, Milind Tambe

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Align Yourself: Self-supervised Pre-training for Fine-grained Recognition via Saliency Alignment


Jun 30, 2021
Di Wu, Siyuan Li, Zelin Zang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li

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Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning


Jun 14, 2021
Kai Wang, Sanket Shah, Haipeng Chen, Andrew Perrault, Finale Doshi-Velez, Milind Tambe

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An Efficient Training Approach for Very Large Scale Face Recognition


Jun 04, 2021
Kai Wang, Shuo Wang, Zhipeng Zhou, Xiaobo Wang, Xiaojiang Peng, Baigui Sun, Hao Li, Yang You

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* This is a very effcient framework for ultra-large-scale classification tasks. Our code is available at https://github.com/tiandunx/FFC. We will keep updating! 
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ACAE-REMIND for Online Continual Learning with Compressed Feature Replay


May 18, 2021
Kai Wang, Luis Herranz, Joost van de Weijer

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* Under review 
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A Received Power Model for Reconfigurable Intelligent Surface and Measurement-based Validations


May 13, 2021
Zipeng Wang, Li Tan, Haifan Yin, Kai Wang, Xilong Pei, David Gesbert

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* 5 pages, 6 figures, submitted 
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Learning to Cluster Faces via Transformer


Apr 23, 2021
Jinxing Ye, Xioajiang Peng, Baigui Sun, Kai Wang, Xiuyu Sun, Hao Li, Hanqing Wu

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* Face Transformer 
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Continual learning in cross-modal retrieval


Apr 19, 2021
Kai Wang, Luis Herranz, Joost van de Weijer

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* 2nd CLVISION workshop in CVPR 2021 
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Personalized Bundle Recommendation in Online Games


Apr 12, 2021
Qilin Deng, Kai Wang, Minghao Zhao, Zhene Zou, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen

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* 8 pages, 10 figures, accepted paper on CIKM 2020 
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Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation


Apr 11, 2021
Kai Wang, Zhene Zou, Qilin Deng, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen, Peng Cui

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* 9 pages, 4 figures, to be published in Proceedings of the AAAI Conference on Artificial Intelligence 2021 
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High-efficiency Euclidean-based Models for Low-dimensional Knowledge Graph Embeddings


Mar 27, 2021
Kai Wang, Yu Liu, Quan Z. Sheng

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* 7 pages, 3 figures 
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TSTNN: Two-stage Transformer based Neural Network for Speech Enhancement in the Time Domain


Mar 18, 2021
Kai Wang, Bengbeng He, Wei-Ping Zhu

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* 5 pages, 4 figures, accepted by IEEE ICASSP 2021 
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On Implicit Attribute Localization for Generalized Zero-Shot Learning


Mar 08, 2021
Shiqi Yang, Kai Wang, Luis Herranz, Joost van de Weijer

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* To appear in IEEE Signal Processing Letters. Overlapped with arXiv:2006.05938 
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A Benchmark of Ocular Disease Intelligent Recognition: One Shot for Multi-disease Detection


Feb 16, 2021
Ning Li, Tao Li, Chunyu Hu, Kai Wang, Hong Kang

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* 17 pages 
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Applications of Deep Learning in Fundus Images: A Review


Jan 25, 2021
Tao Li, Wang Bo, Chunyu Hu, Hong Kang, Hanruo Liu, Kai Wang, Huazhu Fu

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* Medical Image Analysis 2021 
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