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Risk-Aware Learning for Scalable Voltage Optimization in Distribution Grids


Oct 04, 2021
Shanny Lin, Shaohui Liu, Hao Zhu


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Dependency Induction Through the Lens of Visual Perception


Sep 20, 2021
Ruisi Su, Shruti Rijhwani, Hao Zhu, Junxian He, Xinyu Wang, Yonatan Bisk, Graham Neubig

* Accepted to CoNLL 2021 

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REFINE: Random RangE FInder for Network Embedding


Aug 24, 2021
Hao Zhu, Piotr Koniusz

* 30th ACM International Conference on Information and Knowledge Management (CIKM 2021) 

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CIGLI: Conditional Image Generation from Language & Image


Aug 20, 2021
Xiaopeng Lu, Lynnette Ng, Jared Fernandez, Hao Zhu

* 5 pages 

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Data-driven Modeling for Distribution Grids Under Partial Observability


Aug 18, 2021
Shanny Lin, Hao Zhu


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Efficient Representation for Electric Vehicle Charging Station Operations using Reinforcement Learning


Aug 07, 2021
Kyung-bin Kwon, Hao Zhu


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Detailed Avatar Recovery from Single Image


Aug 06, 2021
Hao Zhu, Xinxin Zuo, Haotian Yang, Sen Wang, Xun Cao, Ruigang Yang

* Accepted by TPAMI 

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Graph Convolutional Network with Generalized Factorized Bilinear Aggregation


Jul 24, 2021
Hao Zhu, Piotr Koniusz


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Few-shot Language Coordination by Modeling Theory of Mind


Jul 12, 2021
Hao Zhu, Graham Neubig, Yonatan Bisk

* Thirty-eighth International Conference on Machine Learning (ICML 2021) 

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Graph Neural Networks for Learning Real-Time Prices in Electricity Market


Jun 19, 2021
Shaohui Liu, Chengyang Wu, Hao Zhu


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A Dynamic Response Recovery Framework Using Ambient Synchrophasor Data


Apr 12, 2021
Shaohui Liu, Hao Zhu, Vassilis Kekatos


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Enhancing the Spatio-temporal Observability of Grid-Edge Resources in Distribution Grids


Feb 15, 2021
Shanny Lin, Hao Zhu

* Submitted to IEEE Transactions on Smart Grid, 8 pages, 8 figures 

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Imbalance Robust Softmax for Deep Embeeding Learning


Nov 23, 2020
Hao Zhu, Yang Yuan, Guosheng Hu, Xiang Wu, Neil Robertson

* has been accepted by ACCV 2020 

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AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection


Nov 05, 2020
Hao Zhu, Chaoyou Fu, Qianyi Wu, Wayne Wu, Chen Qian, Ran He

* NeurIPS 2020 

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Lets Play Music: Audio-driven Performance Video Generation


Nov 05, 2020
Hao Zhu, Yi Li, Feixia Zhu, Aihua Zheng, Ran He

* ICPR 2020 

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Multi-agent Trajectory Prediction with Fuzzy Query Attention


Oct 29, 2020
Nitin Kamra, Hao Zhu, Dweep Trivedi, Ming Zhang, Yan Liu

* NeurIPS 2020 Camera-ready version. Code: https://github.com/nitinkamra1992/FQA 

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Using Graph Neural Networks for Mass Spectrometry Prediction


Oct 09, 2020
Hao Zhu, Liping Liu, Soha Hassoun

* 4 pages, 3 figures, submitting to MLCB 

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The Return of Lexical Dependencies: Neural Lexicalized PCFGs


Jul 29, 2020
Hao Zhu, Yonatan Bisk, Graham Neubig

* Accepted at TACL 2020 

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Personalized Speech2Video with 3D Skeleton Regularization and Expressive Body Poses


Jul 17, 2020
Miao Liao, Sibo Zhang, Peng Wang, Hao Zhu, Ruigang Yang


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Additively Homomorphical Encryption based Deep Neural Network for Asymmetrically Collaborative Machine Learning


Jul 14, 2020
Yifei Zhang, Hao Zhu

* 8 pages, 1 figure 

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Self-Supervised Human Depth Estimation from Monocular Videos


May 07, 2020
Feitong Tan, Hao Zhu, Zhaopeng Cui, Siyu Zhu, Marc Pollefeys, Ping Tan

* Accepted by IEEE Conference on Computer Vision and Patten Recognition (CVPR), 2020 

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FaceScape: a Large-scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction


Apr 21, 2020
Haotian Yang, Hao Zhu, Yanru Wang, Mingkai Huang, Qiu Shen, Ruigang Yang, Xun Cao

* Accepted to CVPR 2020 

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SAPIEN: A SimulAted Part-based Interactive ENvironment


Mar 19, 2020
Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao Jiang, Yifu Yuan, He Wang, Li Yi, Angel X. Chang, Leonidas J. Guibas, Hao Su


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Deep Audio-Visual Learning: A Survey


Jan 14, 2020
Hao Zhu, Mandi Luo, Rui Wang, Aihua Zheng, Ran He


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EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph


Dec 23, 2019
Yuxiang Ren, Hao Zhu, Jiawei ZHang, Peng Dai, Liefeng Bo


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S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered Scenes


Oct 31, 2019
Yuzhe Qin, Rui Chen, Hao Zhu, Meng Song, Jing Xu, Hao Su

* Accepted at the Conference on Robot Learning (CoRL) 2019. Project webpage is available here: https://sites.google.com/view/s4ggrapsing 

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FewRel 2.0: Towards More Challenging Few-Shot Relation Classification


Oct 16, 2019
Tianyu Gao, Xu Han, Hao Zhu, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou

* Accepted to EMNLP2019 

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Learned Point Cloud Geometry Compression


Sep 26, 2019
Jianqiang Wang, Hao Zhu, Zhan Ma, Tong Chen, Haojie Liu, Qiu Shen

* 13 pages 

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