Wei Wei

Which Kind Is Better in Open-domain Multi-turn Dialog,Hierarchical or Non-hierarchical Models? An Empirical Study

Aug 07, 2020
Tian Lan, Xian-Ling Mao, Wei Wei, Heyan Huang

Access Model/Code and Paper

Representation Learning of Graphs Using Graph Convolutional Multilayer Networks Based on Motifs

Jul 31, 2020
Xing Li, Wei Wei, Xiangnan Feng, Xue Liu, Zhiming Zheng

* 7 pages, 4 figures

Access Model/Code and Paper

Remix: Rebalanced Mixup

Jul 08, 2020
Hsin-Ping Chou, Shih-Chieh Chang, Jia-Yu Pan, Wei Wei, Da-Cheng Juan

* 14 pages, 4 figures

Access Model/Code and Paper

Calibrated BatchNorm: Improving Robustness Against Noisy Weights in Neural Networks

Jul 07, 2020
Li-Huang Tsai, Shih-Chieh Chang, Yu-Ting Chen, Jia-Yu Pan, Wei Wei, Da-Cheng Juan

* 6 pages, 1 figure

Access Model/Code and Paper

A Hybrid Natural Language Generation System Integrating Rules and Deep Learning Algorithms

Jun 17, 2020
Wei Wei, Bei Zhou, Georgios Leontidis

* 6 pages

Access Model/Code and Paper

Ball k-means

May 02, 2020
Shuyin Xia, Daowan Peng, Deyu Meng, Changqing Zhang, Guoyin Wang, Zizhong Chen, Wei Wei

Access Model/Code and Paper

Unsupervised Injection of Knowledge into Dialogue Generation via Language Models

Apr 30, 2020
Yi-Lin Tuan, Wei Wei, William Yang Wang

Access Model/Code and Paper

PONE: A Novel Automatic Evaluation Metric for Open-Domain Generative Dialogue Systems

Apr 06, 2020
Tian Lan, Xian-Ling Mao, Wei Wei, Xiaoyan Gao, Heyan Huang

Access Model/Code and Paper

Crowd Counting via Hierarchical Scale Recalibration Network

Mar 07, 2020
Zhikang Zou, Yifan Liu, Shuangjie Xu, Wei Wei, Shiping Wen, Pan Zhou

* Accepted by ECAI2020

Access Model/Code and Paper

Dynamic Graph Correlation Learning for Disease Diagnosis with Incomplete Labels

Feb 28, 2020
Daizong Liu, Shuangjie Xu, Pan Zhou, Kun He, Wei Wei, Zichuan Xu

* Because of the novel coronavirus (2019-nCoV) in Wuhan, China, we can not get the codes in the locked lab. Some authors do not agree to submit. We will re-submit it once we get our codes

Access Model/Code and Paper

Differentiable Top-k Operator with Optimal Transport

Feb 18, 2020
Yujia Xie, Hanjun Dai, Minshuo Chen, Bo Dai, Tuo Zhao, Hongyuan Zha, Wei Wei, Tomas Pfister

Access Model/Code and Paper

Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics

Jan 08, 2020
Dawit Belayneh, Federico Carminati, Amir Farbin, Benjamin Hooberman, Gulrukh Khattak, Miaoyuan Liu, Junze Liu, Dominick Olivito, Vitória Barin Pacela, Maurizio Pierini, Alexander Schwing, Maria Spiropulu, Sofia Vallecorsa, Jean-Roch Vlimant, Wei Wei, Matt Zhang

* 26 pages, 38 figures. Corrected typos and added additional references in v2. Extended Acknowledgements section in v3

Access Model/Code and Paper

When to Talk: Chatbot Controls the Timing of Talking during Multi-turn Open-domain Dialogue Generation

Dec 20, 2019
Tian Lan, Xianling Mao, Heyan Huang, Wei Wei

* 10 pages, 1 figure

Access Model/Code and Paper

Overcoming Catastrophic Forgetting by Generative Regularization

Dec 03, 2019
Patrick H. Chen, Wei Wei, Cho-jui, Hsieh, Bo Dai

Access Model/Code and Paper

Abstract Reasoning with Distracting Features

Dec 02, 2019
Kecheng Zheng, Zheng-jun Zha, Wei Wei

* Published as a conference paper at NeurIPS 2019

Access Model/Code and Paper

Enabling real-time multi-messenger astrophysics discoveries with deep learning

Nov 26, 2019
E. A. Huerta, Gabrielle Allen, Igor Andreoni, Javier M. Antelis, Etienne Bachelet, Bruce Berriman, Federica Bianco, Rahul Biswas, Matias Carrasco, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Maya Fishbach, Francisco Förster, Daniel George, Tom Gibbs, Matthew Graham, William Gropp, Robert Gruendl, Anushri Gupta, Roland Haas, Sarah Habib, Elise Jennings, Margaret W. G. Johnson, Erik Katsavounidis, Daniel S. Katz, Asad Khan, Volodymyr Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Zsuzsa Marka, Kenton McHenry, Jonah Miller, Claudia Moreno, Mark Neubauer, Steve Oberlin, Alexander R. Olivas, Donald Petravick, Adam Rebei, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alex Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Leo Singer, Brigitta M. Sipőcz, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao

* Nature Reviews Physics volume 1, pages 600-608 (2019)
* Invited Expert Recommendation for Nature Reviews Physics. The art work produced by E. A. Huerta and Shawn Rosofsky for this article was used by Carl Conway to design the cover of the October 2019 issue of Nature Reviews Physics

Access Model/Code and Paper

Nov 04, 2019
Kai Zhang, Shuhang Gu, Radu Timofte, Zheng Hui, Xiumei Wang, Xinbo Gao, Dongliang Xiong, Shuai Liu, Ruipeng Gang, Nan Nan, Chenghua Li, Xueyi Zou, Ning Kang, Zhan Wang, Hang Xu, Chaofeng Wang, Zheng Li, Linlin Wang, Jun Shi, Wenyu Sun, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Yazhe Niu, Peijin Zhuo, Xiangzhen Kong, Long Sun, Wenhao Wang

Access Model/Code and Paper

Wei Wei

Which Kind Is Better in Open-domain Multi-turn Dialog,Hierarchical or Non-hierarchical Models? An Empirical Study

Representation Learning of Graphs Using Graph Convolutional Multilayer Networks Based on Motifs

Remix: Rebalanced Mixup

Calibrated BatchNorm: Improving Robustness Against Noisy Weights in Neural Networks

A Hybrid Natural Language Generation System Integrating Rules and Deep Learning Algorithms

Ball k-means

Unsupervised Injection of Knowledge into Dialogue Generation via Language Models

PONE: A Novel Automatic Evaluation Metric for Open-Domain Generative Dialogue Systems

Crowd Counting via Hierarchical Scale Recalibration Network

Dynamic Graph Correlation Learning for Disease Diagnosis with Incomplete Labels

Differentiable Top-k Operator with Optimal Transport

Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics

When to Talk: Chatbot Controls the Timing of Talking during Multi-turn Open-domain Dialogue Generation

Overcoming Catastrophic Forgetting by Generative Regularization

Abstract Reasoning with Distracting Features

Enabling real-time multi-messenger astrophysics discoveries with deep learning

Learning with Hierarchical Complement Objective

Table-to-Text Natural Language Generation with Unseen Schemas

AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results

AI Matrix: A Deep Learning Benchmark for Alibaba Data Centers

Natural Adversarial Sentence Generation with Gradient-based Perturbation

Stack-VS: Stacked Visual-Semantic Attention for Image Caption Generation

Enhancing Neural Sequence Labeling with Position-Aware Self-Attention

Across-Stack Profiling and Characterization of Machine Learning Models on GPUs

Deep Hashing for Signed Social Network Embedding

Enhanced 3D convolutional networks for crowd counting

Discriminative Embedding Autoencoder with a Regressor Feedback for Zero-Shot Learning

Reinforcement Learning Driven Heuristic Optimization