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ORCIDShiwan Zhao
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2020 – today
- 2021
[c23]Mengting Hu, Shiwan Zhao, Honglei Guo, Chao Xue, Hang Gao, Tiegang Gao, Renhong Cheng, Zhong Su:
Multi-Label Few-Shot Learning for Aspect Category Detection. ACL/IJCNLP (1) 2021: 6330-6340- [i13]Mengting Hu, Shiwan Zhao, Honglei Guo, Chao Xue, Hang Gao, Tiegang Gao, Renhong Cheng, Zhong Su:
Multi-Label Few-Shot Learning for Aspect Category Detection. CoRR abs/2105.14174 (2021) - 2020
- [c22]Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou:
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics. AAAI 2020: 6372-6379 - [c21]Zhihang Yuan, Bingzhe Wu, Guangyu Sun, Zheng Liang, Shiwan Zhao, Weichen Bi:
S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search. ECCV (2) 2020: 175-192 - [i12]Yiqin Yu, Xu Min, Shiwan Zhao, Jing Mei, Fei Wang, Dongsheng Li, Kenney Ng, Shaochun Li:
Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning. CoRR abs/2007.12355 (2020)
2010 – 2019
- 2019
- [c20]Bingzhe Wu, Xiaolu Zhang, Shiwan Zhao, Lingxi Xie, Caihong Zeng, Zhihong Liu, Guangyu Sun:
G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification. AAAI 2019: 1214-1221 - [c19]Mengting Hu, Shiwan Zhao, Honglei Guo, Renhong Cheng, Zhong Su:
Learning to Detect Opinion Snippet for Aspect-Based Sentiment Analysis. CoNLL 2019: 970-979 - [c18]Bingzhe Wu, Shiwan Zhao, Guangyu Sun, Xiaolu Zhang, Zhong Su, Caihong Zeng, Zhihong Liu:
P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification. CVPR 2019: 2099-2108 - [c17]Mengting Hu, Shiwan Zhao, Li Zhang, Keke Cai, Zhong Su, Renhong Cheng, Xiaowei Shen:
CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis. EMNLP/IJCNLP (1) 2019: 4600-4609 - [c16]Mengting Hu, Yike Wu, Shiwan Zhao, Honglei Guo, Renhong Cheng, Zhong Su:
Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification. EMNLP/IJCNLP (1) 2019: 5558-5567 - [c15]Enliang Xu, Shiwan Zhao, Jing Mei, Eryu Xia, Yiqin Yu, Songfang Huang:
Multiple MACE Risk Prediction using Multi-Task Recurrent Neural Network with Attention. ICHI 2019: 1-2 - [c14]Yike Wu, Shiwan Zhao, Jia Chen, Ying Zhang, Xiaojie Yuan, Zhong Su:
Improving Captioning for Low-Resource Languages by Cycle Consistency. ICME 2019: 362-367 - [c13]Bingzhe Wu, Shiwan Zhao, Chaochao Chen, Haoyang Xu, Li Wang, Xiaolu Zhang, Guangyu Sun, Jun Zhou:
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection. NeurIPS 2019: 306-316 - [i11]Bingzhe Wu, Shiwan Zhao, Guangyu Sun, Xiaolu Zhang, Zhong Su, Caihong Zeng, Zhihong Liu:
P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification. CoRR abs/1905.12883 (2019) - [i10]Yike Wu, Shiwan Zhao, Jia Chen, Ying Zhang, Xiaojie Yuan, Zhong Su:
Improving Captioning for Low-Resource Languages by Cycle Consistency. CoRR abs/1908.07810 (2019) - [i9]Bingzhe Wu, Shiwan Zhao, Haoyang Xu, Chaochao Chen, Li Wang, Xiaolu Zhang, Guangyu Sun, Jun Zhou:
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection. CoRR abs/1908.07882 (2019) - [i8]Mengting Hu, Yike Wu, Shiwan Zhao, Honglei Guo, Renhong Cheng, Zhong Su:
Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification. CoRR abs/1908.09122 (2019) - [i7]Mengting Hu, Shiwan Zhao, Honglei Guo, Renhong Cheng, Zhong Su:
Learning to Detect Opinion Snippet for Aspect-Based Sentiment Analysis. CoRR abs/1909.11297 (2019) - [i6]Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou:
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics. CoRR abs/1910.02249 (2019) - [i5]Zhihang Yuan, Bingzhe Wu, Zheng Liang, Shiwan Zhao, Weichen Bi, Guangyu Sun:
S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search. CoRR abs/1911.07033 (2019) - 2018
- [c12]Zhi Qiao, Shiwan Zhao, Cao Xiao, Xiang Li, Yong Qin, Fei Wang:
Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction. IJCAI 2018: 3520-3526 - [c11]Zhi Qiao, Ning Sun, Xiang Li, Eryu Xia, Shiwan Zhao, Yong Qin:
Using Machine Learning Approaches for Emergency Room Visit Prediction Based on Electronic Health Record Data. MIE 2018: 111-115 - [i4]Bingzhe Wu, Xiaolu Zhang, Shiwan Zhao, Lingxi Xie, Caihong Zeng, Zhihong Liu, Guangyu Sun:
G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification. CoRR abs/1807.03136 (2018) - [i3]Xiaolu Zhang, Shiwan Zhao, Lingxi Xie:
Infinite Curriculum Learning for Efficiently Detecting Gastric Ulcers in WCE Images. CoRR abs/1809.02371 (2018) - [i2]Jing Mei, Shiwan Zhao, Feng Jin, Eryu Xia, Haifeng Liu, Xiang Li:
Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks. CoRR abs/1810.07692 (2018) - [i1]Mengting Hu, Shiwan Zhao, Li Zhang, Keke Cai, Zhong Su, Renhong Cheng, Xiaowei Shen:
CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis. CoRR abs/1812.10735 (2018) - 2017
- [c10]Enliang Xu, Xiang Li, Jing Mei, Shiwan Zhao, Gang Hu, Eryu Xia, Haifeng Liu, Guotong Xie, Meilin Xu, Xuejun Li:
Applying Risk Models on Patients with Unknown Predictor Values: An Incremental Learning Approach. MedInfo 2017: 639-643 - [c9]Jing Mei, Shiwan Zhao, Feng Jin, Lingxiao Zhang, Haifeng Liu, Xiang Li, Guotong Xie, Xuejun Li, Meilin Xu:
Deep Diabetologist: Learning to Prescribe Hypoglycemic Medications with Recurrent Neural Networks. MedInfo 2017: 1277 - 2016
- [j3]Jia Chen, Qin Jin, Shiwan Zhao, Shenghua Bao, Li Zhang, Zhong Su, Yong Yu:
Boosting Recommendation in Unexplored Categories by User Price Preference. ACM Trans. Inf. Syst. 35(2): 12:1-12:27 (2016) - 2014
- [c8]Jia Chen, Qin Jin, Shiwan Zhao, Shenghua Bao, Li Zhang, Zhong Su, Yong Yu:
Does product recommendation meet its waterloo in unexplored categories?: no, price comes to help. SIGIR 2014: 667-676 - 2012
- [p1]Quan Yuan, Li Chen
, Shiwan Zhao:
Augmenting Collaborative Recommenders by Fusing Social Relationships: Membership and Friendship. Recommender Systems for the Social Web 2012: 159-175 - 2011
- [j2]Shiwan Zhao, Michelle X. Zhou, Xiatian Zhang, Quan Yuan, Wentao Zheng, Rongyao Fu:
Who is Doing What and When: Social Map-Based Recommendation for Content-Centric Social Web Sites. ACM Trans. Intell. Syst. Technol. 3(1): 5:1-5:23 (2011) - [c7]Chang Yan Chi, Qinying Liao, Yingxin Pan, Shiwan Zhao, Tara Matthews, Thomas P. Moran, Michelle X. Zhou, David R. Millen, Ching-Yung Lin, Ido Guy:
Smarter social collaboration at IBM research. CSCW 2011: 159-166 - [c6]Quan Yuan, Li Chen, Shiwan Zhao:
Factorization vs. regularization: fusing heterogeneous social relationships in top-n recommendation. RecSys 2011: 245-252 - 2010
- [c5]Liang Xiang, Quan Yuan, Shiwan Zhao, Li Chen, Xiatian Zhang, Qing Yang, Jimeng Sun:
Temporal recommendation on graphs via long- and short-term preference fusion. KDD 2010: 723-732 - [c4]Shiwan Zhao, Michelle X. Zhou, Quan Yuan, Xiatian Zhang, Wentao Zheng, Rongyao Fu:
Who is talking about what: social map-based recommendation for content-centric social websites. RecSys 2010: 143-150 - [c3]Xiatian Zhang, Quan Yuan, Shiwan Zhao, Wei Fan, Wentao Zheng, Zhong Wang:
Multi-label Classification without the Multi-label Cost. SDM 2010: 778-789
2000 – 2009
- 2008
- [c2]Shiwan Zhao, Nan Du, Andreas Nauerz, Xiatian Zhang, Quan Yuan, Rongyao Fu:
Improved recommendation based on collaborative tagging behaviors. IUI 2008: 413-416 - [c1]Shengchao Ding, Shiwan Zhao, Quan Yuan, Xiatian Zhang, Rongyao Fu, Lawrence D. Bergman:
Boosting collaborative filtering based on statistical prediction errors. RecSys 2008: 3-10 - 2004
- [j1]Rong Yao (Frank) Fu, Hui Su, James C. Fletcher, Wei Li, Xiao Xi Liu, Shiwan Zhao, Chang Yan Chi:
A framework for device capability on demand and virtual device user experience. IBM J. Res. Dev. 48(5-6): 635-648 (2004)
Coauthor Index
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