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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2023
[j18]Ziyu Liu, Han Zhu
, Zhenzhong Chen:
Adversarial Spectral Super-Resolution for Multispectral Imagery Using Spatial Spectral Feature Attention Module. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 1550-1562 (2023)- 2022
- [j17]Han Zhu:
A simple heuristic policy for stochastic inventory systems with both minimum and maximum order quantity requirements. Ann. Oper. Res. 309(1): 347-363 (2022) - [j16]Bin Hu, Ming Hu, Han Zhu:
Surge Pricing and Two-Sided Temporal Responses in Ride Hailing. Manuf. Serv. Oper. Manag. 24(1): 91-109 (2022) - [j15]Bin Wen, Han Zhu, Chao Yang, Zhicong Li, Renxuan Cao:
Feature back-projection guided residual refinement for real-time stereo matching network. Signal Process. Image Commun. 103: 116636 (2022) - [j14]Wenxin Hou, Han Zhu, Yidong Wang, Jindong Wang, Tao Qin, Renjun Xu, Takahiro Shinozaki:
Exploiting Adapters for Cross-Lingual Low-Resource Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 30: 317-329 (2022) - [c34]Rihan Chen, Bin Liu, Han Zhu, Yaoxuan Wang, Qi Li, Buting Ma, Qingbo Hua, Jun Jiang, Yunlong Xu, Hongbo Deng, Bo Zheng:
Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation. CIKM 2022: 3013-3022 - [c33]Yuchen Jiang, Qi Li, Han Zhu, Jinbei Yu, Jin Li, Ziru Xu, Huihui Dong, Bo Zheng:
Adaptive Domain Interest Network for Multi-domain Recommendation. CIKM 2022: 3212-3221 - [c32]Andrey Ignatov, Radu Timofte, Maurizio Denna, Abdel Younes, Ganzorig Gankhuyag, Jingang Huh, Myeong Kyun Kim, Kihwan Yoon, Hyeon-Cheol Moon, Seungho Lee, Yoonsik Choe, Jinwoo Jeong, Sungjei Kim, Maciej Smyl, Tomasz Latkowski, Pawel Kubik, Michal Sokolski, Yujie Ma, Jiahao Chao, Zhou Zhou, Hongfan Gao, Zhengfeng Yang, Zhenbing Zeng, Zhengyang Zhuge, Chenghua Li, Dan Zhu, Mengdi Sun, Ran Duan, Yan Gao, Lingshun Kong, Long Sun, Xiang Li, Xingdong Zhang, Jiawei Zhang, Yaqi Wu, Jinshan Pan, Gaocheng Yu, Jin Zhang, Feng Zhang, Zhe Ma, Hongbin Wang, Hojin Cho, Steve Kim, Huaen Li, Yanbo Ma, Ziwei Luo, Youwei Li, Lei Yu, Zhihong Wen, Qi Wu, Haoqiang Fan, Shuaicheng Liu, Lize Zhang, Zhikai Zong, Jeremy Kwon, Junxi Zhang, Mengyuan Li, Nianxiang Fu, Guanchen Ding, Han Zhu, Zhenzhong Chen, Gen Li, Yuanfan Zhang, Lei Sun, Dafeng Zhang, Neo Yang, Fitz Liu, Jerry Zhao, Mustafa Ayazoglu, Bahri Batuhan Bilecen, Shota Hirose, Kasidis Arunruangsirilert, Luo Ao, Ho Chun Leung, Andrew Wei, Jie Liu, Qiang Liu, Dahai Yu, Ao Li, Lei Luo, Ce Zhu, Seongmin Hong, Dongwon Park, Joonhee Lee, Byeong Hyun Lee, Seunggyu Lee, Se Young Chun, Ruiyuan He, Xuhao Jiang, Haihang Ruan, Xinjian Zhang, Jing Liu, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He:
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 Challenge: Report. ECCV Workshops (3) 2022: 92-129 - [c31]Han Zhu, Jindong Wang, Gaofeng Cheng, Pengyuan Zhang, Yonghong Yan:
Decoupled Federated Learning for ASR with Non-IID Data. INTERSPEECH 2022: 2628-2632 - [c30]Han Zhu, Li Wang, Gaofeng Cheng, Jindong Wang, Pengyuan Zhang, Yonghong Yan:
Wav2vec-S: Semi-Supervised Pre-Training for Low-Resource ASR. INTERSPEECH 2022: 4870-4874 - [c29]Qingxuan Li, Han Zhu, Liuping Luo, Gaofeng Cheng, Pengyuan Zhang, Jiasong Sun, Yonghong Yan:
Sequence Distribution Matching for Unsupervised Domain Adaptation in ASR. ISCSLP 2022: 21-25 - [c28]Roberto Corizzo, Junfeng Ge, Colin Bellinger, Xiaoqiang Zhu, Paula Branco, Kuang-chih Lee, Nathalie Japkowicz, Ruiming Tang, Tao Zhuang, Han Zhu, Biye Jiang, Jiaxin Mao, Weinan Zhang:
4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022. KDD 2022: 4860-4861 - [c27]Siguang Huang, Yunli Wang, Lili Mou, Huayue Zhang, Han Zhu, Chuan Yu, Bo Zheng:
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration. WWW 2022: 2236-2246 - [i21]Siguang Huang, Yunli Wang, Lili Mou, Huayue Zhang, Han Zhu, Chuan Yu, Bo Zheng:
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration. CoRR abs/2202.04348 (2022) - [i20]Rihan Chen, Bin Liu, Han Zhu, Yaoxuan Wang, Qi Li, Buting Ma, Qingbo Hua, Jun Jiang, Yunlong Xu, Hongbo Deng, Bo Zheng:
Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation. CoRR abs/2202.10226 (2022) - [i19]Jingwei Zhuo, Bin Liu, Xiang Li, Han Zhu, Xiaoqiang Zhu:
WSLRec: Weakly Supervised Learning for Neural Sequential Recommendation Models. CoRR abs/2202.13616 (2022) - [i18]Han Zhu, Jindong Wang, Gaofeng Cheng, Pengyuan Zhang, Yonghong Yan:
Decoupled Federated Learning for ASR with Non-IID Data. CoRR abs/2206.09102 (2022) - [i17]Yuchen Jiang, Qi Li, Han Zhu, Jinbei Yu, Jin Li, Ziru Xu, Huihui Dong, Bo Zheng:
Adaptive Domain Interest Network for Multi-domain Recommendation. CoRR abs/2206.09672 (2022) - [i16]Han Zhu, Gaofeng Cheng, Jindong Wang, Wenxin Hou, Pengyuan Zhang, Yonghong Yan:
Boosting Cross-Domain Speech Recognition with Self-Supervision. CoRR abs/2206.09783 (2022) - [i15]Han Zhu, Zhenzhong Chen, Shan Liu:
Learning Knowledge Representation with Meta Knowledge Distillation for Single Image Super-Resolution. CoRR abs/2207.08356 (2022) - [i14]Andrey Ignatov, Radu Timofte, Maurizio Denna, Abdel Younes, Ganzorig Gankhuyag, Jingang Huh, Myeong Kyun Kim, Kihwan Yoon, Hyeon-Cheol Moon, Seungho Lee, Yoonsik Choe, Jinwoo Jeong, Sungjei Kim, Maciej Smyl, Tomasz Latkowski, Pawel Kubik, Michal Sokolski, Yujie Ma, Jiahao Chao, Zhou Zhou, Hongfan Gao, Zhengfeng Yang, Zhenbing Zeng, Zhengyang Zhuge, Chenghua Li, Dan Zhu, Mengdi Sun, Ran Duan, Yan Gao, Lingshun Kong, Long Sun, Xiang Li, Xingdong Zhang, Jiawei Zhang, Yaqi Wu, Jinshan Pan, Gaocheng Yu, Jin Zhang, Feng Zhang, Zhe Ma, Hongbin Wang, Hojin Cho, Steve Kim, Huaen Li, Yanbo Ma, Ziwei Luo, Youwei Li, Lei Yu, Zhihong Wen, Qi Wu, Haoqiang Fan, Shuaicheng Liu, Lize Zhang, Zhikai Zong, Jeremy Kwon, Junxi Zhang, Mengyuan Li, Nianxiang Fu, Guanchen Ding, Han Zhu, Zhenzhong Chen, Gen Li, Yuanfan Zhang, et al.:
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report. CoRR abs/2211.05910 (2022) - 2021
- [j13]Weixiang Huang, Wenhui Zhou, Pengfei Guo, Han Zhu:
Service segment competition: size or value, which matters? Int. J. Prod. Res. 59(4): 1281-1299 (2021) - [j12]Han Zhu, Youhua (Frank) Chen, Ming Hu, Yi Yang:
Technical Note-A Simple Heuristic Policy for Stochastic Distribution Inventory Systems with Fixed Shipment Costs. Oper. Res. 69(6): 1651-1659 (2021) - [j11]Renchao Xie, Qinqin Tang, Shi Qiao, Han Zhu, F. Richard Yu, Tao Huang:
When Serverless Computing Meets Edge Computing: Architecture, Challenges, and Open Issues. IEEE Wirel. Commun. 28(5): 126-133 (2021) - [c26]Changfeng Gao, Gaofeng Cheng, Runyan Yang, Han Zhu, Pengyuan Zhang, Yonghong Yan:
Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Text Data. ICASSP 2021: 6543-6547 - [c25]Han Zhu:
Construction of Innovation and Entrepreneurship Education System for Agriculture Related Majors in Higher Vocational Colleges Based on Internet and Information Technology. ICISCAE (ACM) 2021: 924-928 - [i13]Jin Li, Jie Liu, Shangzhou Li, Yao Xu, Ran Cao, Qi Li, Biye Jiang, Guan Wang, Han Zhu, Kun Gai, Xiaoqiang Zhu:
Truncation-Free Matching System for Display Advertising at Alibaba. CoRR abs/2102.09283 (2021) - [i12]Wenxin Hou, Han Zhu, Yidong Wang, Jindong Wang, Tao Qin, Renjun Xu, Takahiro Shinozaki:
Exploiting Adapters for Cross-lingual Low-resource Speech Recognition. CoRR abs/2105.11905 (2021) - [i11]Daqing Chang, Jintao Liu, Ziru Xu, Han Li, Han Zhu, Xiaoqiang Zhu:
Context-aware Tree-based Deep Model for Recommender Systems. CoRR abs/2109.10602 (2021) - [i10]Han Zhu, Li Wang, Ying Hou, Jindong Wang, Gaofeng Cheng, Pengyuan Zhang, Yonghong Yan:
Wav2vec-S: Semi-Supervised Pre-Training for Speech Recognition. CoRR abs/2110.04484 (2021) - 2020
- [j10]Shiliang Sun, Zehui Cao, Han Zhu, Jing Zhao:
A Survey of Optimization Methods From a Machine Learning Perspective. IEEE Trans. Cybern. 50(8): 3668-3681 (2020) - [c24]Han Zhu, Xiaozhong Xu, Shan Liu:
Residual Convolutional Neural Network Based In-Loop Filter with Intra and Inter Frames Processed Respectively for Avs3. ICME Workshops 2020: 1-6 - [c23]Jingwei Zhuo, Ziru Xu, Wei Dai, Han Zhu, Han Li, Jian Xu, Kun Gai:
Learning Optimal Tree Models under Beam Search. ICML 2020: 11650-11659 - [c22]Han Zhu, Jiangjiang Zhao, Yuling Ren, Li Wang, Pengyuan Zhang:
Domain Adaptation Using Class Similarity for Robust Speech Recognition. INTERSPEECH 2020: 4367-4371 - [c21]Han Zhu, Jing Zhao, Shiliang Sun:
Multi-view Deep Gaussian Process with a Pre-training Acceleration Technique. PAKDD (2) 2020: 299-311 - [i9]Jingwei Zhuo, Ziru Xu, Wei Dai, Han Zhu, Han Li, Jian Xu, Kun Gai:
Learning Optimal Tree Models Under Beam Search. CoRR abs/2006.15408 (2020) - [i8]Han Zhu, Li Wang, Pengyuan Zhang, Yonghong Yan:
Multi-Accent Adaptation based on Gate Mechanism. CoRR abs/2011.02774 (2020) - [i7]Han Zhu, Jiangjiang Zhao, Yuling Ren, Li Wang, Pengyuan Zhang:
Domain Adaptation Using Class Similarity for Robust Speech Recognition. CoRR abs/2011.02782 (2020)
2010 – 2019
- 2019
- [j9]Zhenzhong Chen, Han Zhu:
Visual Quality Evaluation for Semantic Segmentation: Subjective Assessment Database and Objective Assessment Measure. IEEE Trans. Image Process. 28(12): 5785-5796 (2019) - [c20]Han Zhu, Li Wang, Pengyuan Zhang, Yonghong Yan:
Multi-Accent Adaptation Based on Gate Mechanism. INTERSPEECH 2019: 744-748 - [c19]Han Zhu, Daqing Chang, Ziru Xu, Pengye Zhang, Xiang Li, Jie He, Han Li, Jian Xu, Kun Gai:
Joint Optimization of Tree-based Index and Deep Model for Recommender Systems. NeurIPS 2019: 3973-3982 - [i6]Han Zhu, Daqing Chang, Ziru Xu, Pengye Zhang, Xiang Li, Jie He, Han Li, Jian Xu, Kun Gai:
Joint Optimization of Tree-based Index and Deep Model for Recommender Systems. CoRR abs/1902.07565 (2019) - [i5]Shiliang Sun, Zehui Cao, Han Zhu, Jing Zhao:
A Survey of Optimization Methods from a Machine Learning Perspective. CoRR abs/1906.06821 (2019) - 2018
- [j8]Hui Li, Bo Zhao, Han Zhu:
Numerical Simulation of Fatigue Performance of Diaphragm of Large-Span Bridge Orthotropic Deck. Complex. 2018: 3903461:1-3903461:19 (2018) - [j7]Han Zhu, Youhua (Frank) Chen, Eman Leung, Xing Liu:
Outpatient appointment scheduling with unpunctual patients. Int. J. Prod. Res. 56(5): 1982-2002 (2018) - [j6]Lili He, Han Zhu, Zhanxu Gao:
A novel asphalt pavement crack detection algorithm based on multi-feature test of cross-section image. Traitement du Signal 35(3-4): 289-302 (2018) - [c18]Zhenzhong Chen, Yiming Li, Feiyang Liu, Zizheng Liu, Xiang Pan, Wanjie Sun, Yingbin Wang, Yan Zhou, Han Zhu, Shan Liu:
CNN-Optimized Image Compression with Uncertainty based Resource Allocation. CVPR Workshops 2018: 2559-2562 - [c17]Guorui Zhou, Xiaoqiang Zhu, Chengru Song, Ying Fan, Han Zhu, Xiao Ma, Yanghui Yan, Junqi Jin, Han Li, Kun Gai:
Deep Interest Network for Click-Through Rate Prediction. KDD 2018: 1059-1068 - [c16]Han Zhu, Xiang Li, Pengye Zhang, Guozheng Li, Jie He, Han Li, Kun Gai:
Learning Tree-based Deep Model for Recommender Systems. KDD 2018: 1079-1088 - [c15]Yingbin Wang, Han Zhu, Yiming Li, Zhenzhong Chen, Shan Liu:
Dense Residual Convolutional Neural Network based In-Loop Filter for HEVC. VCIP 2018: 1-4 - [i4]Han Zhu, Pengye Zhang, Guozheng Li, Jie He, Han Li, Kun Gai:
Learning Tree-based Deep Model for Recommender Systems. CoRR abs/1801.02294 (2018) - 2017
- [c14]Mingsheng Long, Han Zhu, Jianmin Wang, Michael I. Jordan:
Deep Transfer Learning with Joint Adaptation Networks. ICML 2017: 2208-2217 - [c13]Han Zhu, Junqi Jin, Chang Tan, Fei Pan, Yifan Zeng, Han Li, Kun Gai:
Optimized Cost per Click in Taobao Display Advertising. KDD 2017: 2191-2200 - [i3]Han Zhu, Junqi Jin, Chang Tan, Fei Pan, Yifan Zeng, Han Li, Kun Gai:
Optimized Cost per Click in Taobao Display Advertising. CoRR abs/1703.02091 (2017) - [i2]Guorui Zhou, Chengru Song, Xiaoqiang Zhu, Xiao Ma, Yanghui Yan, Xingya Dai, Han Zhu, Junqi Jin, Han Li, Kun Gai:
Deep Interest Network for Click-Through Rate Prediction. CoRR abs/1706.06978 (2017) - 2016
- [c12]Mengxuan Song, Han Zhu, Qiu Fang, Jun Wang:
Thermal-aware load balancing in a server rack. CCA 2016: 462-467 - [c11]Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao:
Deep Hashing Network for Efficient Similarity Retrieval. AAAI 2016: 2415-2421 - [c10]Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu, Qingfu Wen:
Deep Quantization Network for Efficient Image Retrieval. AAAI 2016: 3457-3463 - [c9]Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu:
Correlation Autoencoder Hashing for Supervised Cross-Modal Search. ICMR 2016: 197-204 - [c8]Mingsheng Long, Han Zhu, Jianmin Wang, Michael I. Jordan:
Unsupervised Domain Adaptation with Residual Transfer Networks. NIPS 2016: 136-144 - [c7]Shaoxu Song, Han Zhu, Jianmin Wang:
Constraint-Variance Tolerant Data Repairing. SIGMOD Conference 2016: 877-892 - 2015
- [c6]Han Zhu, Jun Wang, Mengxuan Song, Qiu Fang:
Thermal-aware load provisioning for server clusters by using model predictive control. CCA 2015: 336-340 - [i1]Yuxi Fu, Han Zhu:
The Name-Passing Calculus. CoRR abs/1508.00093 (2015) - 2014
- [j5]Shaoxu Song, Han Zhu, Lei Chen:
Probabilistic correlation-based similarity measure on text records. Inf. Sci. 289: 8-24 (2014) - 2011
- [c5]Han Zhu, Huibiao Zhu, Si Liu, Jian Guo:
Towards Denotational Semantics for Verilog in PVS. SSIRI (Companion) 2011: 1-2 - 2010
- [c4]Jieqi Ding, Han Zhu, Huibiao Zhu, Qin Li:
Formal Modeling and Verifications of Deadlock Prevention Solutions in Web Service Oriented System. ECBS 2010: 335-343
2000 – 2009
- 2009
- [j4]Xiaojuan Cai, Han Zhu:
Applying a testing approach to the Calculus of Fair Ambients. Int. J. Comput. Math. 86(12): 2040-2060 (2009) - [j3]Han Zhu:
Axiomatic Systems for the Bisimilarity on Finite Fair Ambient Processes. J. Comput. 4(6): 469-476 (2009) - [c3]Han Zhu, Yonggen Gu, Xiaojuan Cai:
Knowledge Aware Bisimulation and Anonymity. ICCS (1) 2009: 53-62 - [c2]Jieqi Ding, Han Zhu, Huibiao Zhu, Qin Li:
Formal Approaches to Deadlock Analysis in Competitions of Shared Web Resources. TASE 2009: 327-328 - 2008
- [j2]Han Zhu, Yonggen Gu, Xiaohong Wu:
An Open Approach for the Applied Pi Calculus. J. Softw. 3(9): 44-51 (2008) - 2005
- [c1]Yonggen Gu, Yuxi Fu, Farong Zhong, Han Zhu:
A Generic Model for Analyzing Security Protocols. MMM-ACNS 2005: 119-128 - 2004
- [j1]Brian J. Ross, Han Zhu:
Procedural Texture Evolution Using Multi-objective Optimization. New Gener. Comput. 22(3): 271-293 (2004)
Coauthor Index
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