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End-to-End Conversational Search for Online Shopping with Utterance Transfer


Sep 12, 2021
Liqiang Xiao, Jun Ma2, Xin Luna Dong, Pascual Martinez-Gomez, Nasser Zalmout, Wei Chen, Tong Zhao, Hao He, Yaohui Jin


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Improving Video Instance Segmentation via Temporal Pyramid Routing


Jul 28, 2021
Xiangtai Li, Hao He, Henghui Ding, Kuiyuan Yang, Guangliang Cheng, Jianping Shi, Yunhai Tong


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Mid-flight Forecasting for CPA Lines in Online Advertising


Jul 15, 2021
Hao He, Tian Zhou, Lihua Ren, Niklas Karlsson, Aaron Flores

* 41st International Symposium on Forecasting, June 27-30, 2021 

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An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions


Jul 15, 2021
Tian Zhou, Hao He, Shengjun Pan, Niklas Karlsson, Bharatbhushan Shetty, Brendan Kitts, Djordje Gligorijevic, San Gultekin, Tingyu Mao, Junwei Pan, Jianlong Zhang, Aaron Flores

* In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'21), August 14-18, 2021, Singapore 

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BoundarySqueeze: Image Segmentation as Boundary Squeezing


May 25, 2021
Hao He, Xiangtai Li, Kuiyuan Yang, Guangliang Cheng, Jianping Shi, Yunhai Tong, Zhengjun Zha, Lubin Weng


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Dependent Multi-Task Learning with Causal Intervention for Image Captioning


May 18, 2021
Wenqing Chen, Jidong Tian, Caoyun Fan, Hao He, Yaohui Jin

* To be published in IJCAI 2021 

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Enhanced Boundary Learning for Glass-like Object Segmentation


Mar 29, 2021
Hao He, Xiangtai Li, Guangliang Cheng, Jianping Shi, Yunhai Tong, Gaofeng Meng, Véronique Prinet, Lubin Weng


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PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation


Mar 11, 2021
Xiangtai Li, Hao He, Xia Li, Duo Li, Guangliang Cheng, Jianping Shi, Lubin Weng, Yunhai Tong, Zhouchen Lin

* accepted by CVPR2021 

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Information-Preserving Contrastive Learning for Self-Supervised Representations


Dec 17, 2020
Tianhong Li, Lijie Fan, Yuan Yuan, Hao He, Yonglong Tian, Dina Katabi

* The first two authors contributed equally to this paper 

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Bid Shading by Win-Rate Estimation and Surplus Maximization


Sep 19, 2020
Shengjun Pan, Brendan Kitts, Tian Zhou, Hao He, Bharatbhushan Shetty, Aaron Flores, Djordje Gligorijevic, Junwei Pan, Tingyu Mao, San Gultekin, Jianlong Zhang

* AdKDD 2020 

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Continuously Indexed Domain Adaptation


Jul 03, 2020
Hao Wang, Hao He, Dina Katabi

* Accepted at ICML 2020 

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UST: Unifying Spatio-Temporal Context for Trajectory Prediction in Autonomous Driving


May 06, 2020
Hao He, Hengchen Dai, Naiyan Wang


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Learning Compositional Koopman Operators for Model-Based Control


Oct 18, 2019
Yunzhu Li, Hao He, Jiajun Wu, Dina Katabi, Antonio Torralba

* The first two authors contributed equally to this paper. Project Page: http://koopman.csail.mit.edu/ Video: https://www.youtube.com/watch?v=idFH4K16cfQ&feature=youtu.be 

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Disentangled Makeup Transfer with Generative Adversarial Network


Jul 02, 2019
Honglun Zhang, Wenqing Chen, Hao He, Yaohui Jin


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Road-network-based Rapid Geolocalization


Jun 25, 2019
Yongfei Li, Dongfang Yang, Shicheng Wang, Hao He

* 19pages, 10 figures, 3 tables 

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Truly Proximal Policy Optimization


Mar 19, 2019
Yuhui Wang, Hao He, Xiaoyang Tan


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Robust Reinforcement Learning in POMDPs with Incomplete and Noisy Observations


Feb 15, 2019
Yuhui Wang, Hao He, Xiaoyang Tan


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Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling


Feb 06, 2019
Hao Wang, Chengzhi Mao, Hao He, Mingmin Zhao, Tommi S. Jaakkola, Dina Katabi

* Appeared at AAAI 2019 

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Trust Region-Guided Proximal Policy Optimization


Jan 29, 2019
Yuhui Wang, Hao He, Xiaoyang Tan, Yaozhong Gan


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Exposure: A White-Box Photo Post-Processing Framework


Feb 06, 2018
Yuanming Hu, Hao He, Chenxi Xu, Baoyuan Wang, Stephen Lin

* ACM Transaction on Graphics (Accepted with minor revisions) 

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From Bayesian Sparsity to Gated Recurrent Nets


Aug 02, 2017
Hao He, Bo Xin, David Wipf


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