M2R-Whisper: Multi-stage and Multi-scale Retrieval Augmentation for Enhancing Whisper, Zhou, Jiaming and Zhao, Shiwan and He, Jiabei and Wang, Hui and Zeng, Wenjia and Chen, Yong and Sun, Haoqin and Kong, Aobo and Qin, Yong, arXiv preprint arXiv:2409.11889, 2024
Improving Zero-Shot Chinese-English Code-Switching ASR with kNN-CTC and Gated Monolingual Datastores, Zhou, Jiaming and Zhao, Shiwan and Wang, Hui and Zhang, Tian-Hao and Sun, Haoqin and Wang, Xuechen and Qin, Yong, arXiv preprint arXiv:2406.03814, 2024
AudioEditor: A Training-Free Diffusion-Based Audio Editing Framework, Jia, Yuhang and Chen, Yang and Zhao, Jinghua and Zhao, Shiwan and Zeng, Wenjia and Chen, Yong and Qin, Yong, arXiv preprint arXiv:2409.12466, 2024
DiffEditor: Enhancing Speech Editing with Semantic Enrichment and Acoustic Consistency, Chen, Yang and Jia, Yuhang and Zhao, Shiwan and Jiang, Ziyue and Li, Haoran and Kang, Jiarong and Qin, Yong, arXiv preprint arXiv:2409.12992, 2024
ChildMandarin: A Comprehensive Mandarin Speech Dataset for Young Children Aged 3-5, Zhou, Jiaming and Wang, Shiyao and Zhao, Shiwan and He, Jiabei and Sun, Haoqin and Wang, Hui and Liu, Cheng and Kong, Aobo and Guo, Yujie and Qin, Yong, arXiv preprint arXiv:2409.18584, 2024
Self-prompt tuning: Enable autonomous role-playing in llms, Kong, Aobo and Zhao, Shiwan and Chen, Hao and Li, Qicheng and Qin, Yong and Sun, Ruiqi and Zhou, Xin and Zhou, Jiaming and Sun, Haoqin, arXiv preprint arXiv:2407.08995, 2024
Enhancing Emotion Recognition in Incomplete Data: A Novel Cross-Modal Alignment, Reconstruction, and Refinement Framework, Sun, Haoqin and Zhao, Shiwan and Li, Shaokai and Kong, Xiangyu and Wang, Xuechen and Kong, Aobo and Zhou, Jiaming and Chen, Yong and Zeng, Wenjia and Qin, Yong, arXiv preprint arXiv:2407.09029, 2024
PB-LRDWWS System for the SLT 2024 Low-Resource Dysarthria Wake-Up Word Spotting Challenge, Wang, Shiyao and Zhou, Jiaming and Zhao, Shiwan and Qin, Yong, arXiv preprint arXiv:2409.04799, 2024
Strategic Chain-of-Thought: Guiding Accurate Reasoning in LLMs through Strategy Elicitation, Wang, Yu and Zhao, Shiwan and Wang, Zhihu and Huang, Heyuan and Fan, Ming and Zhang, Yubo and Wang, Zhixing and Wang, Haijun and Liu, Ting, arXiv preprint arXiv:2409.03271, 2024
Re-task: Revisiting llm tasks from capability, skill, and knowledge perspectives, Wang, Zhihu and Zhao, Shiwan and Wang, Yu and Huang, Heyuan and Xie, Sitao and Zhang, Yubo and Shi, Jiaxin and Wang, Zhixing and Li, Hongyan and Yan, Junchi, arXiv preprint arXiv:2408.06904, 2024
Uncertainty-Aware Mean Opinion Score Prediction, Wang, Hui and Zhao, Shiwan and Zhou, Jiaming and Zheng, Xiguang and Sun, Haoqin and Wang, Xuechen and Qin, Yong, INTERSPEECH, 2024
Iterative Prototype Refinement for Ambiguous Speech Emotion Recognition, Sun, Haoqin and Zhao, Shiwan and Kong, Xiangyu and Wang, Xuechen and Wang, Hui and Zhou, Jiaming and Qin, Yong, INTERSPEECH, 2024
Enhancing Dysarthric Speech Recognition for Unseen Speakers via Prototype-Based Adaptation, Wang, Shiyao and Zhao, Shiwan and Zhou, Jiaming and Kong, Aobo and Qin, Yong, INTERSPEECH, 2024
kNN-CTC: Enhancing ASR via Retrieval of CTC Pseudo Labels, Zhou, Jiaming and Zhao, Shiwan and Liu, Yaqi and Zeng, Wenjia and Chen, Yong and Qin, Yong, ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),2024
Fine-Grained Disentangled Representation Learning For Multimodal Emotion Recognition, Sun, Haoqin and Zhao, Shiwan and Wang, Xuechen and Zeng, Wenjia and Chen, Yong and Qin, Yong, ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),2024
Better zero-shot reasoning with role-play prompting, Kong, Aobo and Zhao, Shiwan and Chen, Hao and Li, Qicheng and Qin, Yong and Sun, Ruiqi and Zhou, Xin, NAACL, 2024
MADI: Inter-domain matching and intra-domain discrimination for cross-domain speech recognition, Zhou, Jiaming and Zhao, Shiwan and Jiang, Ning and Zhao, Guoqing and Qin, Yong, ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),2023
PromptRank: Unsupervised Keyphrase Extraction Using Prompt, Kong, Aobo and Zhao, Shiwan and Chen, Hao and Li, Qicheng and Qin, Yong and Sun, Ruiqi and Bai, Xiaoyan, ACL 2023 main conference,2023
Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction, Hu, Mengting and Bai, Yinhao and Wu, Yike and Zhang, Zhen and Zhang, Liqi and Gao, Hang and Zhao, Shiwan and Huang, Minlie, ACL 2023 Findings, 2023
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition, Zhang, Zhen and Hu, Mengting and Zhao, Shiwan and Huang, Minlie and Wang, Haotian and Liu, Lemao and Zhang, Zhirui and Liu, Zhe and Wu, Bingzhe, ACL 2023 Findings, 2023
Uncertainty in natural language processing: Sources, quantification, and applications, Hu, Mengting and Zhang, Zhen and Zhao, Shiwan and Huang, Minlie and Wu, Bingzhe, arXiv preprint arXiv:2306.04459, 2023
Multi-Task Decouple Learning With Hierarchical Attentive Point Process, Wu, Weichang and Zhang, Xiaolu and Zhao, Shiwan and Fu, Chilin and Zhou, Jun, IEEE Transactions on Knowledge and Data Engineering, 2023
RAMP: Retrieval-Augmented MOS Prediction via Confidence-based Dynamic Weighting, Wang, Hui and Zhao, Shiwan and Zheng, Xiguang and Qin, Yong, INTERSPEECH 2023, 2023
Supervised Contrastive Learning with Nearest Neighbor Search for Speech Emotion Recognition, Wang, Xuechen and Zhao, Shiwan and Qin, Yong, INTERSPEECH 2023, 2023
Hybrid Regularizations for Multi-Aspect Category Sentiment Analysis, Hu, Mengting and Zhao, Shiwan and Guo, Honglei and Su, Zhong, IEEE Transactions on Affective Computing, 2023
When Pairs Meet Triplets: Improving Low-Resource Captioning via Multi-Objective Optimization, Wu, Yike and Zhao, Shiwan and Zhang, Ying and Yuan, Xiaojie and Su, Zhong, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2022
Overcoming Language Priors in Visual Question Answering via Distinguishing Superficially Similar Instances, Wu, Yike and Zhao, Yu and Zhao, Shiwan and Zhang, Ying and Yuan, Xiaojie and Zhao, Guoqing and Jiang, Ning, COLING 2022, 2022
Improving aspect sentiment quad prediction via template-order data augmentation, Hu, Mengting and Wu, Yike and Gao, Hang and Bai, Yinhao and Zhao, Shiwan, EMNLP 2022 main conference,2022
Fine-Grained Domain Adaptation for Aspect Category Level Sentiment Analysis, Hu, Mengting and Gao, Hang and Wu, Yike and Su, Zhong and Zhao, Shiwan, IEEE Transactions on Affective Computing, 2022
Multi-Label Few-Shot Learning for Aspect Category Detection, Hu, Mengting and Zhao, Shiwan and Guo, Honglei and Xue, Chao and Gao, Hang and Gao, Tiegang and Cheng, Renhong and Su, Zhong, ACL 2021 main conference,2021
Efficient Mind-Map Generation via Sequence-to-Graph and Reinforced Graph Refinement, Hu, Mengting and Guo, Honglei and Zhao, Shiwan and Gao, Hang and Su, Zhong, EMNLP 2021 main conference,2021
Language Resource Efficient Learning for Captioning, Chen, Jia and Wu, Yike and Zhao, Shiwan and Jin, Qin, EMNLP 2021 Findings,2021
Dynamic knowledge distillation for black-box hypothesis transfer learning, Yu, Yiqin and Min, Xu and Zhao, Shiwan and Mei, Jing and Wang, Fei and Li, Dongsheng and Ng, Kenney and Li, Shaochun, arXiv preprint arXiv:2007.12355, 2020
Fast Similar Patient Retrieval from Large Scale Healthcare Data: A Deep Learning-Based Binary Hashing Approach, Wang, Ke and Xia, Eryu and Zhao, Shiwan and Huang, Ziming and Huang, Songfang and Mei, Jing and Li, Shaochun, Explainable AI in Healthcare and Medicine: Building a Culture of Transparency and Accountability,2020
Fast Similar Patient Retrieval from Large Scale Healthcare Data: A Deep Learning-Based Binary Hashing Approach, Wang, Ke and Xia, Eryu and Zhao, Shiwan and Huang, Ziming and Huang, Songfang and Mei, Jing and Li, Shaochun, Explainable AI in Healthcare and Medicine: Building a Culture of Transparency and Accountability,2020
CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis, Hu, Mengting and Zhao, Shiwan and Zhang, Li and Cai, Keke and Su, Zhong and Cheng, Renhong and Shen, Xiaowei, EMNLP 2019, 2019
P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification, Wu, Bingzhe and Zhao, Shiwan and Sun, Guangyu and Zhang, Xiaolu and Su, Zhong and Zeng, Caihong and Liu, Zhihong, CVPR 2019,2019
Improving captioning for low-resource languages by cycle consistency, Wu, Yike and Zhao, Shiwan and Chen, Jia and Zhang, Ying and Yuan, Xiaojie and Su, Zhong, 2019 IEEE International Conference on Multimedia and Expo (ICME),2019
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection, Wu, Bingzhe and Zhao, Shiwan and Xu, Haoyang and Chen, ChaoChao and Wang, Li and Zhang, Xiaolu and Sun, Guangyu and Zhou, Jun, NeurIPS 2019, 2019
Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification, Hu, Mengting and Wu, Yike and Zhao, Shiwan and Guo, Honglei and Cheng, Renhong and Su, Zhong, EMNLP 2019, 2019
Learning to Detect Opinion Snippet for Aspect-Based Sentiment Analysis, Hu, Mengting and Zhao, Shiwan and Guo, Honglei and Cheng, Renhong and Su, Zhong, CoNLL 2019, 2019
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics, Wu, Bingzhe and Chen, Chaochao and Zhao, Shiwan and Chen, Cen and Yao, Yuan and Sun, Guangyu and Wang, Li and Zhang, Xiaolu and Zhou, Jun, AAAI 2020, 2019
Multiple MACE risk prediction using multi-task recurrent neural network with attention, Xu, Enliang and Zhao, Shiwan and Mei, Jing and Xia, Eryu and Yu, Yiqin and Huang, Songfang, 2019 IEEE International Conference on Healthcare Informatics (ICHI),2019
S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search, Yuan, Zhihang and Wu, Bingzhe and Liang, Zheng and Zhao, Shiwan and Bi, Weichen and Sun, Guangyu, ECCV 2020, 2019
G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification, Wu, Bingzhe and Zhang, Xiaolu and Zhao, Shiwan and Xie, Lingxi and Zeng, Caihong and Liu, Zhihong and Sun, Guangyu, AAAI 2019,2018
Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction, Qiao, Zhi and Zhao, Shiwan and Xiao, Cao and Li, Xiang and Qin, Yong and Wang, Fei, IJCAI 2018,2018
Using machine learning approaches for emergency room visit prediction based on electronic health record data, Qiao, Zhi and Sun, Ning and Li, Xiang and Xia, Eryu and Zhao, Shiwan and Qin, Yong, Building continents of knowledge in Oceans of data: The future of co-created eHealth,2018
Infinite curriculum learning for efficiently detecting gastric ulcers in WCE images, Zhang, Xiaolu and Zhao, Shiwan and Xie, Lingxi, arXiv preprint arXiv:1809.02371, 2018
Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks, Mei, Jing and Zhao, Shiwan and Jin, Feng and Xia, Eryu and Liu, Haifeng and Li, Xiang, arXiv preprint arXiv:1810.07692, 2018
Applying Risk Models on Patients with Unknown Predictor Values: An Incremental Learning Approach, Xu, Enliang and Li, Xiang and Mei, Jing and Zhao, Shiwan and Hu, Gang and Xia, Eryu and Liu, Haifeng and Xie, Guotong and Xu, Meilin and Li, Xuejun, MEDINFO 2017: Precision Healthcare through Informatics,2017
Deep Diabetologist: Learning to Prescribe Hypoglycemic Medications with Recurrent Neural Networks., Mei, Jing and Zhao, Shiwan and Jin, Feng and Zhang, Lingxiao and Liu, Haifeng and Li, Xiang and Xie, Guotong and Xu, M, Studies in health technology and informatics, 2017
Boosting recommendation in unexplored categories by user price preference, Chen, Jia and Jin, Qin and Zhao, Shiwan and Bao, Shenghua and Zhang, Li and Su, Zhong and Yu, Yong, ACM Transactions on Information Systems (TOIS), 2016
Does product recommendation meet its Waterloo in unexplored categories? No, price comes to help, Chen, Jia and Jin, Qin and Zhao, Shiwan and Bao, Shenghua and Zhang, Li and Su, Zhong and Yu, Yong, Proceedings of the 37th international ACM SIGIR conference on Research \& development in information retrieval,2014
A social analytics platform for smarter commerce solutions, Desmond, Michael and Guo, HL and Heath, Fenno F and Bao, S and Khabiri, Elham and Krasikov, Sophia and Modani, Natwar and Nagar, Seema and Ohno, M and Srinivasan, Harini and others, IBM Journal of Research and Development, 2014
Augmenting collaborative recommenders by fusing social relationships: Membership and friendship, Pazos Arias, Jos{'e, Recommender systems for the social web, 2012
Factorization vs. regularization: fusing heterogeneous social relationships in top-n recommendation, Yuan, Quan and Chen, Li and Zhao, Shiwan, Proceedings of the fifth ACM conference on Recommender systems,2011
Smarter social collaboration at IBM research, Chi, Changyan and Liao, Qinying and Pan, Yingxin and Zhao, Shiwan and Matthews, Tara and Moran, Thomas and Zhou, Michelle X and Millen, David and Lin, Ching-Yung and Guy, Ido, Proceedings of the ACM 2011 conference on Computer supported cooperative work,2011
Who is doing what and when: Social map-based recommendation for content-centric social web sites, Zhao, Shiwan and Zhou, Michelle X and Zhang, Xiatian and Yuan, Quan and Zheng, Wentao and Fu, Rongyao, ACM Transactions on Intelligent Systems and Technology (TIST), 2011
Temporal recommendation on graphs via long-and short-term preference fusion, Xiang, Liang and Yuan, Quan and Zhao, Shiwan and Chen, Li and Zhang, Xiatian and Yang, Qing and Sun, Jimeng, Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining,2010
Multi-label classification without the multi-label cost, Zhang, Xiatian and Yuan, Quan and Zhao, Shiwan and Fan, Wei and Zheng, Wentao and Wang, Zhong, Proceedings of the 2010 SIAM International Conference on Data Mining,2010
Who is talking about what: social map-based recommendation for content-centric social websites, Zhao, Shiwan and Zhou, Michelle X and Yuan, Quan and Zhang, Xiatian and Zheng, Wentao and Fu, Rongyao, Proceedings of the fourth ACM conference on Recommender systems,2010
Who is talking about what: social map-based recommendation for content-centric social websites, Zhao, Shiwan and Zhou, Michelle X and Yuan, Quan and Zhang, Xiatian and Zheng, Wentao and Fu, Rongyao, Proceedings of the fourth ACM conference on Recommender systems,2010
Augmenting collaborative recommender by fusing explicit social relationships, Yuan, Quan and Zhao, Shiwan and Chen, Li and Liu, Yan and Ding, Shengchao and Zhang, Xiatian and Zheng, Wentao, Workshop on Recommender Systems and the Social Web, Recsys 2009,2009
Improved recommendation based on collaborative tagging behaviors, Zhao, Shiwan and Du, Nan and Nauerz, Andreas and Zhang, Xiatian and Yuan, Quan and Fu, Rongyao, Proceedings of the 13th international conference on Intelligent user interfaces,2008
Boosting collaborative filtering based on statistical prediction errors, Ding, Shengchao and Zhao, Shiwan and Yuan, Quan and Zhang, Xiatian and Fu, Rongyao and Bergman, Lawrence, Proceedings of the 2008 ACM conference on Recommender systems,2008
A recommender based on automatic metadata extraction and user-driven collaborative annotation, Nauerz, Andreas and Junginger, Michael and Zhao, Shiwan, Proceedings of the International Workshop on Recommendation and Collaboration, at the Internationa Conference on Intelligent User Interfaces (IUI’08), Canary Islands, Spain. http://www. uni-koblenz. de/confsec/IUI/proceedings/data/workshops/recoll-10. pdf,2008
A framework for device capability on demand and virtual device user experience, Fu, RY and Su, Hui and Fletcher, James C and Li, Wei and Liu, Xiao Xi and Zhao, SW and Chi, Chang Yan, IBM Journal of Research and Development, 2004
Chinese word classification based on statistics, Shi-Wan, Zhao and Ying, Xia and Shao-Ping, Ma and Yu, Wang and Zhong, Su, Proceedings of the 3rd World Congress on Intelligent Control and Automation (Cat. No. 00EX393),2000