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Shiwan Zhao
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2020 – today
- 2024
- [j7]Weichang Wu
, Xiaolu Zhang
, Shiwan Zhao
, Chilin Fu
, Jun Zhou:
Multi-Task Decouple Learning With Hierarchical Attentive Point Process. IEEE Trans. Knowl. Data Eng. 36(4): 1741-1757 (2024) - [c36]Jiaming Zhou, Shiwan Zhao, Yaqi Liu, Wenjia Zeng, Yong Chen, Yong Qin:
KNN-CTC: Enhancing ASR via Retrieval of CTC Pseudo Labels. ICASSP 2024: 11006-11010 - [c35]Haoqin Sun, Shiwan Zhao, Xuechen Wang, Wenjia Zeng, Yong Chen, Yong Qin:
Fine-Grained Disentangled Representation Learning For Multimodal Emotion Recognition. ICASSP 2024: 11051-11055 - [c34]Aobo Kong, Shiwan Zhao, Hao Chen, Qicheng Li, Yong Qin, Ruiqi Sun, Xin Zhou, Enzhi Wang, Xiaohang Dong:
Better Zero-Shot Reasoning with Role-Play Prompting. NAACL-HLT 2024: 4099-4113 - [i30]Jiaming Zhou, Shiwan Zhao, Hui Wang, Tian-Hao Zhang, Haoqin Sun, Xuechen Wang, Yong Qin:
Improving Zero-Shot Chinese-English Code-Switching ASR with kNN-CTC and Gated Monolingual Datastores. CoRR abs/2406.03814 (2024) - [i29]Aobo Kong, Shiwan Zhao, Hao Chen, Qicheng Li, Yong Qin, Ruiqi Sun, Xin Zhou, Jiaming Zhou, Haoqin Sun:
Self-Prompt Tuning: Enable Autonomous Role-Playing in LLMs. CoRR abs/2407.08995 (2024) - [i28]Haoqin Sun, Shiwan Zhao, Shaokai Li, Xiangyu Kong, Xuechen Wang, Aobo Kong, Jiaming Zhou, Yong Chen, Wenjia Zeng, Yong Qin:
Enhancing Emotion Recognition in Incomplete Data: A Novel Cross-Modal Alignment, Reconstruction, and Refinement Framework. CoRR abs/2407.09029 (2024) - [i27]Shiyao Wang, Shiwan Zhao, Jiaming Zhou, Aobo Kong, Yong Qin:
Enhancing Dysarthric Speech Recognition for Unseen Speakers via Prototype-Based Adaptation. CoRR abs/2407.18461 (2024) - 2023
- [j6]Mengting Hu
, Hang Gao, Yike Wu
, Zhong Su, Shiwan Zhao:
Fine-Grained Domain Adaptation for Aspect Category Level Sentiment Analysis. IEEE Trans. Affect. Comput. 14(4): 2839-2850 (2023) - [j5]Mengting Hu
, Shiwan Zhao
, Honglei Guo
, Zhong Su:
Hybrid Regularizations for Multi-Aspect Category Sentiment Analysis. IEEE Trans. Affect. Comput. 14(4): 3294-3304 (2023) - [c33]Zhen Zhang
, Mengting Hu, Shiwan Zhao, Minlie Huang, Haotian Wang, Lemao Liu, Zhirui Zhang, Zhe Liu, Bingzhe Wu:
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition. ACL (Findings) 2023: 1619-1634 - [c32]Aobo Kong, Shiwan Zhao, Hao Chen, Qicheng Li, Yong Qin, Ruiqi Sun, Xiaoyan Bai:
PromptRank: Unsupervised Keyphrase Extraction Using Prompt. ACL (1) 2023: 9788-9801 - [c31]Mengting Hu, Yinhao Bai, Yike Wu, Zhen Zhang
, Liqi Zhang, Hang Gao, Shiwan Zhao, Minlie Huang:
Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction. ACL (Findings) 2023: 13481-13494 - [c30]Jiaming Zhou, Shiwan Zhao, Ning Jiang, Guoqing Zhao, Yong Qin:
MADI: Inter-Domain Matching and Intra-Domain Discrimination for Cross-Domain Speech Recognition. ICASSP 2023: 1-5 - [c29]Hui Wang, Shiwan Zhao, Xiguang Zheng, Yong Qin:
RAMP: Retrieval-Augmented MOS Prediction via Confidence-based Dynamic Weighting. INTERSPEECH 2023: 1095-1099 - [c28]Xuechen Wang, Shiwan Zhao, Yong Qin:
Supervised Contrastive Learning with Nearest Neighbor Search for Speech Emotion Recognition. INTERSPEECH 2023: 1913-1917 - [i26]Jiaming Zhou, Shiwan Zhao, Ning Jiang, Guoqing Zhao, Yong Qin:
MADI: Inter-domain Matching and Intra-domain Discrimination for Cross-domain Speech Recognition. CoRR abs/2302.11224 (2023) - [i25]Aobo Kong, Shiwan Zhao, Hao Chen, Qicheng Li, Yong Qin, Ruiqi Sun, Xiaoyan Bai:
PromptRank: Unsupervised Keyphrase Extraction Using Prompt. CoRR abs/2305.04490 (2023) - [i24]Zhen Zhang, Mengting Hu, Shiwan Zhao, Minlie Huang, Haotian Wang, Lemao Liu, Zhirui Zhang, Zhe Liu, Bingzhe Wu:
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition. CoRR abs/2305.17854 (2023) - [i23]Mengting Hu, Yinhao Bai, Yike Wu, Zhen Zhang, Liqi Zhang, Hang Gao, Shiwan Zhao, Minlie Huang:
Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction. CoRR abs/2306.00418 (2023) - [i22]Mengting Hu, Zhen Zhang, Shiwan Zhao, Minlie Huang, Bingzhe Wu:
Uncertainty in Natural Language Processing: Sources, Quantification, and Applications. CoRR abs/2306.04459 (2023) - [i21]Aobo Kong, Shiwan Zhao, Hao Chen, Qicheng Li, Yong Qin, Ruiqi Sun, Xin Zhou:
Better Zero-Shot Reasoning with Role-Play Prompting. CoRR abs/2308.07702 (2023) - [i20]Xuechen Wang, Shiwan Zhao, Yong Qin:
Supervised Contrastive Learning with Nearest Neighbor Search for Speech Emotion Recognition. CoRR abs/2308.16485 (2023) - [i19]Hui Wang, Shiwan Zhao, Xiguang Zheng, Yong Qin:
RAMP: Retrieval-Augmented MOS Prediction via Confidence-based Dynamic Weighting. CoRR abs/2308.16488 (2023) - [i18]Jiaming Zhou, Shiwan Zhao, Yaqi Liu, Wenjia Zeng, Yong Chen, Yong Qin:
kNN-CTC: Enhancing ASR via Retrieval of CTC Pseudo Labels. CoRR abs/2312.13560 (2023) - [i17]Haoqin Sun, Shiwan Zhao, Xuechen Wang, Wenjia Zeng, Yong Chen, Yong Qin:
Fine-grained Disentangled Representation Learning for Multimodal Emotion Recognition. CoRR abs/2312.13567 (2023) - 2022
- [j4]Yike Wu, Shiwan Zhao
, Ying Zhang, Xiaojie Yuan, Zhong Su:
When Pairs Meet Triplets: Improving Low-Resource Captioning via Multi-Objective Optimization. ACM Trans. Multim. Comput. Commun. Appl. 18(3): 83:1-83:20 (2022) - [c27]Yike Wu, Yu Zhao, Shiwan Zhao, Ying Zhang, Xiaojie Yuan, Guoqing Zhao, Ning Jiang:
Overcoming Language Priors in Visual Question Answering via Distinguishing Superficially Similar Instances. COLING 2022: 5721-5729 - [c26]Mengting Hu, Yike Wu, Hang Gao, Yinhao Bai, Shiwan Zhao:
Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation. EMNLP 2022: 7889-7900 - [i16]Yike Wu, Yu Zhao, Shiwan Zhao, Ying Zhang, Xiaojie Yuan, Guoqing Zhao, Ning Jiang:
Overcoming Language Priors in Visual Question Answering via Distinguishing Superficially Similar Instances. CoRR abs/2209.08529 (2022) - [i15]Mengting Hu, Yike Wu, Hang Gao, Yinhao Bai, Shiwan Zhao:
Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation. CoRR abs/2210.10291 (2022) - 2021
- [c25]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 - [c24]Jia Chen, Yike Wu, Shiwan Zhao, Qin Jin:
Language Resource Efficient Learning for Captioning. EMNLP (Findings) 2021: 1887-1895 - [c23]Mengting Hu, Honglei Guo, Shiwan Zhao
, Hang Gao, Zhong Su:
Efficient Mind-Map Generation via Sequence-to-Graph and Reinforced Graph Refinement. EMNLP (1) 2021: 8130-8141 - [i14]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) - [i13]Mengting Hu, Honglei Guo, Shiwan Zhao, Hang Gao, Zhong Su:
Efficient Mind-Map Generation via Sequence-to-Graph and Reinforced Graph Refinement. CoRR abs/2109.02457 (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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