Hao Zhang

Interpreting Multivariate Interactions in DNNs

Oct 15, 2020
Hao Zhang, Yichen Xie, Longjie Zheng, Die Zhang, Quanshi Zhang

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Interpreting and Boosting Dropout from a Game-Theoretic View

Oct 10, 2020
Hao Zhang, Sen Li, Yinchao Ma, Mingjie Li, Yichen Xie, Quanshi Zhang

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Context Modeling with Evidence Filter for Multiple Choice Question Answering

Oct 06, 2020
Sicheng Yu, Hao Zhang, Wei Jing, Jing Jiang

* 6 pages, 2 figures

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BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal Transfer

Oct 05, 2020
Or Patashnik, Dov Danon, Hao Zhang, Daniel Cohen-Or

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BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning

Oct 05, 2020
Zhijie Deng, Xiao Yang, Hao Zhang, Yinpeng Dong, Jun Zhu

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Joint coded aperture optimization and compressive hyperspectral image classification using 3D coded neural network

Oct 04, 2020
Hao Zhang

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Dictionary Learning with Low-rank Coding Coefficients for Tensor Completion

Sep 26, 2020
Tai-Xiang Jiang, Xi-Le Zhao, Hao Zhang, Michael K. Ng

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Compressive Spectral Image Classification using 3D Coded Neural Network

Sep 23, 2020
Hao Zhang

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Deep N-ary Error Correcting Output Codes

Sep 22, 2020
Hao Zhang, Joey Tianyi Zhou, Tianying Wang, Ivor W. Tsang, Rick Siow Mong Goh

* EAI MOBIMEDIA 2020

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TAP-Net: Transport-and-Pack using Reinforcement Learning

Sep 03, 2020
Ruizhen Hu, Juzhan Xu, Bin Chen, Minglun Gong, Hao Zhang, Hui Huang

* ACM Transactions on Graphics 2020

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Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning

Aug 27, 2020
Aurick Qiao, Willie Neiswanger, Qirong Ho, Hao Zhang, Gregory R. Ganger, Eric P. Xing

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COALESCE: Component Assembly by Learning to Synthesize Connections

Aug 05, 2020
Kangxue Yin, Zhiqin Chen, Siddhartha Chaudhuri, Matthew Fisher, Vladimir Kim, Hao Zhang

* 19 pages: paper + supplementary

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MRGAN: Multi-Rooted 3D Shape Generation with Unsupervised Part Disentanglement

Jul 25, 2020
Rinon Gal, Amit Bermano, Hao Zhang, Daniel Cohen-Or

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PIE-NET: Parametric Inference of Point Cloud Edges

Jul 09, 2020
Xiaogang Wang, Yuelang Xu, Kai Xu, Andrea Tagliasacchi, Bin Zhou, Ali Mahdavi-Amiri, Hao Zhang

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TilinGNN: Learning to Tile with Self-Supervised Graph Neural Network

Jul 05, 2020
Hao Xu, Ka Hei Hui, Chi-Wing Fu, Hao Zhang

* SIGGRAPH 2020, Technical paper. ACM Trans. Graph., Vol. 39, No. 4, Article 129. Homapage: https://appsrv.cse.cuhk.edu.hk/~haoxu/projects/TilinGnn/index.html

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Interpreting Hierarchical Linguistic Interactions in DNNs

Jun 29, 2020
Die Zhang, Huilin Zhou, Xiaoyi Bao, Da Huo, Ruizhao Chen, Xu Cheng, Hao Zhang, Mengyue Wu, Quanshi Zhang

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Predictive and Generative Neural Networks for Object Functionality

Jun 28, 2020
Ruizhen Hu, Zihao Yan, Jingwen Zhang, Oliver van Kaick, Ariel Shamir, Hao Zhang, Hui Huang

* ACM Transactions on Graphics (Proc. SIGGRAPH), volume 37, number 4, pages 151:1--151:14, year 2018
* Accepted to SIGGRAPH 2018, project page at https://vcc.tech/research/2018/ICON4

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RPM-Net: Recurrent Prediction of Motion and Parts from Point Cloud

Jun 26, 2020
Zihao Yan, Ruizhen Hu, Xingguang Yan, Luanmin Chen, Oliver van Kaick, Hao Zhang, Hui Huang

* ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia), volume 38, number 6, pages 240:1--240:15, year 2019
* Accepted to SIGGRAPH Asia 2019, project page at https://vcc.tech/research/2019/RPMNet

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Students Need More Attention: BERT-based AttentionModel for Small Data with Application to AutomaticPatient Message Triage

Jun 22, 2020
Shijing Si, Rui Wang, Jedrek Wosik, Hao Zhang, David Dov, Guoyin Wang, Ricardo Henao, Lawrence Carin

* 20 pages, Machine Learning for Healthcare 2020 (To appear)

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Hao Zhang

Interpreting Multivariate Interactions in DNNs

Interpreting and Boosting Dropout from a Game-Theoretic View

Context Modeling with Evidence Filter for Multiple Choice Question Answering

BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal Transfer

BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning

Joint coded aperture optimization and compressive hyperspectral image classification using 3D coded neural network

Dictionary Learning with Low-rank Coding Coefficients for Tensor Completion

Compressive Spectral Image Classification using 3D Coded Neural Network

Deep N-ary Error Correcting Output Codes

TAP-Net: Transport-and-Pack using Reinforcement Learning

Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning

COALESCE: Component Assembly by Learning to Synthesize Connections

MRGAN: Multi-Rooted 3D Shape Generation with Unsupervised Part Disentanglement

PIE-NET: Parametric Inference of Point Cloud Edges

TilinGNN: Learning to Tile with Self-Supervised Graph Neural Network

Interpreting Hierarchical Linguistic Interactions in DNNs

Predictive and Generative Neural Networks for Object Functionality

RPM-Net: Recurrent Prediction of Motion and Parts from Point Cloud

Students Need More Attention: BERT-based AttentionModel for Small Data with Application to AutomaticPatient Message Triage

Rotation-Equivariant Neural Networks for Privacy Protection

Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference

Span-based Localizing Network for Natural Language Video Localization

An Unsupervised Semantic Sentence Ranking Scheme for Text Documents

Graph2Plan: Learning Floorplan Generation from Layout Graphs

Data-Driven Construction of Data Center Graph of Things for Anomaly Detection

Developing a Recommendation Benchmark for MLPerf Training and Inference

Representing Multi-Robot Structure through Multimodal Graph Embedding for the Selection of Robot Teams

Simultaneous Learning from Human Pose and Object Cues for Real-Time Activity Recognition