Binqiang Zhao

According to our database, Binqiang Zhao authored at least 32 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

3D Scene Creation and Rendering via Rough Meshes: A Lighting Transfer Avenue.

Yujie Li, Bowen Cai, Yuqin Liang, Rongfei Jia, Binqiang Zhao, Mingming Gong, Huan Fu

CoRR, 2022

MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation.

Linhao Luo, Yumeng Li, Buyu Gao, Shuai Tang, Sinan Wang, Jiancheng Li, Tanchao Zhu, Jiancai Liu, Zhao Li, Binqiang Zhao, Ziyang Zheng, Shirui Pan

CoRR, 2022

Co-training Disentangled Domain Adaptation Network for Leveraging Popularity Bias in Recommenders.

Zhihong Chen, Jiawei Wu, Chenliang Li, Jingxu Chen, Rong Xiao, Binqiang Zhao

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Digging into Radiance Grid for Real-Time View Synthesis with Detail Preservation.

Jian Zhang, Jinchi Huang, Bowen Cai, Huan Fu, Mingming Gong, Chaohui Wang, Jiaming Wang, Hongchen Luo, Rongfei Jia, Binqiang Zhao, Xing Tang

Proceedings of the Computer Vision - ECCV 2022, 2022

DCCF: Deep Comprehensible Color Filter Learning Framework for High-Resolution Image Harmonization.

Ben Xue, Shenghui Ran, Quan Chen, Rongfei Jia, Binqiang Zhao, Xing Tang

Proceedings of the Computer Vision - ECCV 2022, 2022

Ray Priors through Reprojection: Improving Neural Radiance Fields for Novel View Extrapolation.

Jian Zhang, Yuanqing Zhang, Huan Fu, Xiaowei Zhou, Bowen Cai, Jinchi Huang, Rongfei Jia, Binqiang Zhao, Xing Tang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

UDM: A Unified Deep Matching Framework in Recommender Systems.

Long Guo, Fei Fang, Binqiang Zhao, Bin Cui

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Contrastive Framework for Learning Sentence Representations from Pairwise and Triple-wise Perspective in Angular Space.

Yuhao Zhang, Hongji Zhu, Yongliang Wang, Nan Xu, Xiaobo Li, Binqiang Zhao

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Synthesizing Indoor Scene Layouts in Complicated Architecture Using Dynamic Convolution Networks.

Hao Jiang, Siqi Wang, Huikun Bi, Xiaolei Lv, Binqiang Zhao, Zheng Wang, Zhaoqi Wang

Proc. ACM Comput. Graph. Interact. Tech., 2021

3D-FUTURE: 3D Furniture Shape with TextURE.

Huan Fu, Rongfei Jia, Lin Gao, Mingming Gong, Binqiang Zhao, Stephen J. Maybank, Dacheng Tao

Int. J. Comput. Vis., 2021

Relation-aware Meta-learning for E-commerce Market Segment Demand Prediction with Limited Records.

Jiatu Shi, Huaxiu Yao, Xian Wu, Tong Li, Zedong Lin, Tengfei Wang, Binqiang Zhao

Proceedings of the WSDM '21, 2021

Learning Hierarchical Visual-Semantic Representation with Phrase Alignment.

Baoming Yan, Qingheng Zhang, Liyu Chen, Lin Wang, Leihao Pei, Jiang Yang, Enyun Yu, Xiaobo Li, Binqiang Zhao

Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

Single Image 3D Shape Retrieval via Cross-Modal Instance and Category Contrastive Learning.

Ming-Xian Lin, Jie Yang, He Wang, Yu-Kun Lai, Rongfei Jia, Binqiang Zhao, Lin Gao

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

3D-FRONT: 3D Furnished Rooms with layOuts and semaNTics.

Huan Fu, Bowen Cai, Lin Gao, Lingxiao Zhang, Jiaming Wang, Cao Li, Qixun Zeng, Chengyue Sun, Rongfei Jia, Binqiang Zhao, Hao Zhang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Prior Based Human Completion.

Zibo Zhao, Wen Liu, Yanyu Xu, Xianing Chen, Weixin Luo, Lei Jin, Bohui Zhu, Tong Liu, Binqiang Zhao, Shenghua Gao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Residential Floor Plan Recognition and Reconstruction.

Xiaolei Lv, Shengchu Zhao, Xinyang Yu, Binqiang Zhao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

KGDet: Keypoint-Guided Fashion Detection.

Shenhan Qian, Dongze Lian, Binqiang Zhao, Tong Liu, Bohui Zhu, Hai Li, Shenghua Gao

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Exploiting Diverse Characteristics and Adversarial Ambivalence for Domain Adaptive Segmentation.

Bowen Cai, Huan Fu, Rongfei Jia, Binqiang Zhao, Hua Li, Yinghui Xu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

EdgeDIPN: a Unified Deep Intent Prediction Network Deployed at the Edge.

Long Guo, Lifeng Hua, Rongfei Jia, Fei Fang, Binqiang Zhao, Bin Cui

Proc. VLDB Endow., 2020

3D-FRONT: 3D Furnished Rooms with layOuts and semaNTics.

Huan Fu, Bowen Cai, Lin Gao, Lingxiao Zhang, Cao Li, Zengqi Xun, Chengyue Sun, Yiyun Fei, Yu Zheng, Ying Li, Yi Liu, Peng Liu, Lin Ma, Le Weng, Xiaohang Hu, Xin Ma, Qian Qian, Rongfei Jia, Binqiang Zhao, Hao Zhang

CoRR, 2020

TPG-DNN: A Method for User Intent Prediction Based on Total Probability Formula and GRU Loss with Multi-task Learning.

Jingxing Jiang, Zhubin Wang, Fei Fang, Binqiang Zhao

CoRR, 2020

Relation-aware Meta-learning for Market Segment Demand Prediction with Limited Records.

Jiatu Shi, Huaxiu Yao, Xian Wu, Tong Li, Zedong Lin, Tengfei Wang, Binqiang Zhao, Zhenhui Li

CoRR, 2020

Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning.

Huan Fu, Shunming Li, Rongfei Jia, Mingming Gong, Binqiang Zhao, Dacheng Tao

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Diversified Interactive Recommendation with Implicit Feedback.

Yong Liu, Yingtai Xiao, Qiong Wu, Chunyan Miao, Juyong Zhang, Binqiang Zhao, Haihong Tang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation.

Yong Liu, Yinan Zhang, Qiong Wu, Chunyan Miao, Lizhen Cui, Binqiang Zhao, Yin Zhao, Lu Guan

CoRR, 2019

Deep Bayesian Multi-Target Learning for Recommender Systems.

Qi Wang, Zhihui Ji, Huasheng Liu, Binqiang Zhao

CoRR, 2019

RNE: A Scalable Network Embedding for Billion-Scale Recommendation.

Jianbin Lin, Daixin Wang, Lu Guan, Yin Zhao, Binqiang Zhao, Jun Zhou, Xiaolong Li, Yuan (Alan) Qi

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Buying or Browsing?: Predicting Real-time Purchasing Intent using Attention-based Deep Network with Multiple Behavior.

Long Guo, Lifeng Hua, Rongfei Jia, Binqiang Zhao, Xiaobo Wang, Bin Cui

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion.

Wen Chen, Pipei Huang, Jiaming Xu, Xin Guo, Cheng Guo, Fei Sun, Chao Li, Andreas Pfadler, Huan Zhao, Binqiang Zhao

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

PD-GAN: Adversarial Learning for Personalized Diversity-Promoting Recommendation.

Qiong Wu, Yong Liu, Chunyan Miao, Binqiang Zhao, Yin Zhao, Lu Guan

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks.

Jinchi Huang, Lie Qu, Rongfei Jia, Binqiang Zhao

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba.

Jizhe Wang, Pipei Huang, Huan Zhao, Zhibo Zhang, Binqiang Zhao, Dik Lun Lee

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018