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Binqiang Zhao
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2020 – today
- 2024
- [j4]Bowen Cai
, Yujie Li
3D Scene Creation and Rendering via Rough Meshes: A Lighting Transfer Avenue. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6292-6305 (2024) - 2022
- [c22]Yuhao Zhang, Hongji Zhu, Yongliang Wang, Nan Xu, Xiaobo Li, Binqiang Zhao:
A Contrastive Framework for Learning Sentence Representations from Pairwise and Triple-wise Perspective in Angular Space. ACL (1) 2022: 4892-4903 - [c21]Long Guo, Fei Fang, Binqiang Zhao, Bin Cui:
UDM: A Unified Deep Matching Framework in Recommender Systems. CIKM 2022: 3122-3130 - [c20]Jian Zhang, Yuanqing Zhang, Huan Fu
Ray Priors through Reprojection: Improving Neural Radiance Fields for Novel View Extrapolation. CVPR 2022: 18355-18365 - [c19]Ben Xue, Shenghui Ran, Quan Chen, Rongfei Jia, Binqiang Zhao, Xing Tang:
DCCF: Deep Comprehensible Color Filter Learning Framework for High-Resolution Image Harmonization. ECCV (7) 2022: 300-316 - [c18]Jian Zhang, Jinchi Huang, Bowen Cai, Huan Fu, Mingming Gong, Chaohui Wang, Jiaming Wang, Hongchen Luo, Rongfei Jia, Binqiang Zhao, Xing Tang:
Digging into Radiance Grid for Real-Time View Synthesis with Detail Preservation. ECCV (15) 2022: 724-740 - [c17]Zhihong Chen, Jiawei Wu, Chenliang Li, Jingxu Chen, Rong Xiao, Binqiang Zhao:
Co-training Disentangled Domain Adaptation Network for Leveraging Popularity Bias in Recommenders. SIGIR 2022: 60-69 - [i15]Linhao Luo, Yumeng Li, Buyu Gao, Shuai Tang, Sinan Wang, Jiancheng Li, Tanchao Zhu, Jiancai Liu, Zhao Li, Binqiang Zhao, Ziyang Zheng, Shirui Pan:
MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation. CoRR abs/2202.12524 (2022) - [i14]Jian Zhang, Yuanqing Zhang, Huan Fu
Ray Priors through Reprojection: Improving Neural Radiance Fields for Novel View Extrapolation. CoRR abs/2205.05922 (2022) - [i13]Ben Xue, Shenghui Ran, Quan Chen, Rongfei Jia, Binqiang Zhao, Xing Tang:
DCCF: Deep Comprehensible Color Filter Learning Framework for High-Resolution Image Harmonization. CoRR abs/2207.04788 (2022) - [i12]Yujie Li, Bowen Cai, Yuqin Liang, Rongfei Jia, Binqiang Zhao, Mingming Gong, Huan Fu
3D Scene Creation and Rendering via Rough Meshes: A Lighting Transfer Avenue. CoRR abs/2211.14823 (2022) - 2021
- [j3]Huan Fu
3D-FUTURE: 3D Furniture Shape with TextURE. Int. J. Comput. Vis. 129(12): 3313-3337 (2021) - [j2]Hao Jiang, Siqi Wang, Huikun Bi, Xiaolei Lv, Binqiang Zhao, Zheng Wang, Zhaoqi Wang:
Synthesizing Indoor Scene Layouts in Complicated Architecture Using Dynamic Convolution Networks. Proc. ACM Comput. Graph. Interact. Tech. 4(1): 13:1-13:16 (2021) - [c16]Shenhan Qian, Dongze Lian, Binqiang Zhao, Tong Liu, Bohui Zhu, Hai Li, Shenghua Gao:
KGDet: Keypoint-Guided Fashion Detection. AAAI 2021: 2449-2457 - [c15]Bowen Cai, Huan Fu
Exploiting Diverse Characteristics and Adversarial Ambivalence for Domain Adaptive Segmentation. AAAI 2021: 6850-6858 - [c14]Zibo Zhao, Wen Liu
Prior Based Human Completion. CVPR 2021: 7951-7961 - [c13]Xiaolei Lv, Shengchu Zhao, Xinyang Yu, Binqiang Zhao:
Residential Floor Plan Recognition and Reconstruction. CVPR 2021: 16717-16726 - [c12]Huan Fu
3D-FRONT: 3D Furnished Rooms with layOuts and semaNTics. ICCV 2021: 10913-10922 - [c11]Ming-Xian Lin, Jie Yang, He Wang, Yu-Kun Lai, Rongfei Jia, Binqiang Zhao, Lin Gao:
Single Image 3D Shape Retrieval via Cross-Modal Instance and Category Contrastive Learning. ICCV 2021: 11385-11395 - [c10]Baoming Yan, Qingheng Zhang, Liyu Chen, Lin Wang, Leihao Pei, Jiang Yang, Enyun Yu, Xiaobo Li, Binqiang Zhao:
Learning Hierarchical Visual-Semantic Representation with Phrase Alignment. ICMR 2021: 349-357 - [c9]Jiatu Shi, Huaxiu Yao, Xian Wu, Tong Li, Zedong Lin, Tengfei Wang, Binqiang Zhao:
Relation-aware Meta-learning for E-commerce Market Segment Demand Prediction with Limited Records. WSDM 2021: 220-228 - 2020
- [j1]Long Guo, Lifeng Hua, Rongfei Jia, Fei Fang, Binqiang Zhao, Bin Cui:
EdgeDIPN: a Unified Deep Intent Prediction Network Deployed at the Edge. Proc. VLDB Endow. 14(3): 320-328 (2020) - [c8]Yong Liu
Diversified Interactive Recommendation with Implicit Feedback. AAAI 2020: 4932-4939 - [c7]Huan Fu
Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning. NeurIPS 2020 - [i11]Jianbin Lin, Daixin Wang, Lu Guan, Yin Zhao, Binqiang Zhao, Jun Zhou, Xiaolong Li, Yuan Qi:
RNE: A Scalable Network Embedding for Billion-scale Recommendation. CoRR abs/2003.07158 (2020) - [i10]Jiatu Shi, Huaxiu Yao, Xian Wu, Tong Li, Zedong Lin, Tengfei Wang, Binqiang Zhao, Zhenhui Li:
Relation-aware Meta-learning for Market Segment Demand Prediction with Limited Records. CoRR abs/2008.00181 (2020) - [i9]Jingxing Jiang, Zhubin Wang, Fei Fang, Binqiang Zhao:
TPG-DNN: A Method for User Intent Prediction Based on Total Probability Formula and GRU Loss with Multi-task Learning. CoRR abs/2008.02122 (2020) - [i8]Huan Fu, Rongfei Jia, Lin Gao, Mingming Gong, Binqiang Zhao, Steve J. Maybank, Dacheng Tao:
3D-FUTURE: 3D Furniture shape with TextURE. CoRR abs/2009.09633 (2020) - [i7]Huan Fu, Shunming Li, Rongfei Jia, Mingming Gong, Binqiang Zhao, Dacheng Tao:
Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning. CoRR abs/2010.12238 (2020) - [i6]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:
3D-FRONT: 3D Furnished Rooms with layOuts and semaNTics. CoRR abs/2011.09127 (2020) - [i5]Bowen Cai, Huan Fu, Rongfei Jia, Binqiang Zhao, Hua Li, Yinghui Xu:
Exploiting Diverse Characteristics and Adversarial Ambivalence for Domain Adaptive Segmentation. CoRR abs/2012.05608 (2020)
2010 – 2019
- 2019
- [c6]Jinchi Huang, Lie Qu, Rongfei Jia, Binqiang Zhao:
O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks. ICCV 2019: 3325-3333 - [c5]Qiong Wu, Yong Liu
PD-GAN: Adversarial Learning for Personalized Diversity-Promoting Recommendation. IJCAI 2019: 3870-3876 - [c4]Long Guo, Lifeng Hua, Rongfei Jia, Binqiang Zhao, Xiaobo Wang, Bin Cui
Buying or Browsing?: Predicting Real-time Purchasing Intent using Attention-based Deep Network with Multiple Behavior. KDD 2019: 1984-1992 - [c3]Wen Chen, Pipei Huang, Jiaming Xu, Xin Guo, Cheng Guo, Fei Sun
POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion. KDD 2019: 2662-2670 - [c2]Jianbin Lin, Daixin Wang, Lu Guan, Yin Zhao, Binqiang Zhao, Jun Zhou, Xiaolong Li, Yuan (Alan) Qi:
RNE: A Scalable Network Embedding for Billion-Scale Recommendation. PAKDD (2) 2019: 432-445 - [i4]Qi Wang, Zhihui Ji, Huasheng Liu, Binqiang Zhao:
Deep Bayesian Multi-Target Learning for Recommender Systems. CoRR abs/1902.09154 (2019) - [i3]Yong Liu, Yinan Zhang
Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation. CoRR abs/1903.07826 (2019) - [i2]Wen Chen, Pipei Huang, Jiaming Xu, Xin Guo, Cheng Guo, Fei Sun, Chao Li, Andreas Pfadler, Huan Zhao, Binqiang Zhao:
POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion. CoRR abs/1905.01866 (2019) - 2018
- [c1]Jizhe Wang, Pipei Huang, Huan Zhao, Zhibo Zhang, Binqiang Zhao, Dik Lun Lee:
Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba. KDD 2018: 839-848 - [i1]Jizhe Wang, Pipei Huang, Huan Zhao, Zhibo Zhang, Binqiang Zhao, Dik Lun Lee:
Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba. CoRR abs/1803.02349 (2018)
Coauthor Index
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