default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDYing Shen 0001
Person information
- affiliation: Sun Yat-Sen University, School of Intelligent Systens Engineering, China
- affiliation (2017 - 2020): Peking University, School of Electronics and Computer Engineering, China
- affiliation (PhD): Paris Nanterre University, France
Other persons with the same name
- Ying Shen — disambiguation page
- Ying Shen 0002
![[0000-0002-0828-8833]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-0828-8833")
— Zhejiang University, Institute of Cyber-Systems and Control, Hangzhou, China (and 1 more) - Ying Shen 0003 — Tianjin University, School of Electrical and Information Engineering, China
- Ying Shen 0004 — Fuzhou University, College of Mechanical Engineering and Automation, China
- Ying Shen 0005 — Tongji University, School of Software Engineering, Shanghai, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j50]Zizhu Liu, Qing Cao, Nan Du, Huizhen Shu, Erheng Zhong, Nan Jiang, Qiaoran Chen, Ying Shen, Kang Chen:
FIT-graph: A multi-grained evolutionary graph based framework for disease diagnosis. Artif. Intell. Medicine 147: 102735 (2024)- [j49]Xiaoyan Zhao, Yang Deng, Min Yang, Lingzhi Wang, Rui Zhang, Hong Cheng, Wai Lam, Ying Shen, Ruifeng Xu:
A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers. ACM Comput. Surv. 56(11): 293:1-293:39 (2024) - [j48]De-Long Zeng, Enze Zha, Jiayi Kuang, Ying Shen:
Multi-label text classification based on semantic-sensitive graph convolutional network. Knowl. Based Syst. 284: 111303 (2024) - [j47]Enze Zha, De-Long Zeng, Man Lin, Ying Shen:
CEPTNER: Contrastive learning Enhanced Prototypical network for Two-stage few-shot Named Entity Recognition. Knowl. Based Syst. 295: 111730 (2024) - [j46]Chenhe Dong, Ying Shen, Shiyang Lin, Zhenzhou Lin, Yang Deng:
A Unified Framework for Contextual and Factoid Question Generation. IEEE Trans. Knowl. Data Eng. 36(1): 21-34 (2024) - [j45]Yang Deng, Wenxuan Zhang, Weiwen Xu, Ying Shen, Wai Lam:
Nonfactoid Question Answering as Query-Focused Summarization With Graph-Enhanced Multihop Inference. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11231-11245 (2024) - [j44]Shujie Li, Guanghu Yuan, Min Yang, Ying Shen, Chengming Li, Ruifeng Xu, Xiaoyan Zhao:
Improving Semi-Supervised Text Classification with Dual Meta-Learning. ACM Trans. Inf. Syst. 42(4): 109:1-109:28 (2024) - [c74]Ying Shen, Zhiyang Xu, Qifan Wang, Yu Cheng, Wenpeng Yin, Lifu Huang:
Multimodal Instruction Tuning with Conditional Mixture of LoRA. ACL (1) 2024: 637-648 - [c73]Haohao Luo, Yang Deng, Ying Shen, See-Kiong Ng, Tat-Seng Chua:
Chain-of-Exemplar: Enhancing Distractor Generation for Multimodal Educational Question Generation. ACL (1) 2024: 7978-7993 - [c72]Yinghui Li, Zishan Xu, Shaoshen Chen, Haojing Huang, Yangning Li, Shirong Ma, Yong Jiang, Zhongli Li, Qingyu Zhou, Hai-Tao Zheng, Ying Shen:
Towards Real-World Writing Assistance: A Chinese Character Checking Benchmark with Faked and Misspelled Characters. ACL (1) 2024: 8656-8668 - [c71]Mengsha Liu, Daoyuan Chen, Yaliang Li, Guian Fang, Ying Shen:
ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization. LREC/COLING 2024: 3057-3074 - [c70]Man Lin, De-Long Zeng, Jiarui Ouyang, Ying Shen:
MSIF: Multi-source Information Fusion for Financial Question Answering. ICANN (9) 2024: 389-404 - [c69]Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Yaliang Li, Ying Shen:
On the Convergence of Zeroth-Order Federated Tuning for Large Language Models. KDD 2024: 1827-1838 - [c68]Zhe Xu, Daoyuan Chen, Jiayi Kuang, Zihao Yi, Yaliang Li, Ying Shen:
Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation. SIGIR 2024: 774-784 - [i37]Qirui Jiao, Daoyuan Chen, Yilun Huang, Yaliang Li, Ying Shen:
Enhancing Multimodal Large Language Models with Vision Detection Models: An Empirical Study. CoRR abs/2401.17981 (2024) - [i36]Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Yaliang Li, Ying Shen:
On the Convergence of Zeroth-Order Federated Tuning for Large Language Models. CoRR abs/2402.05926 (2024) - [i35]Peng Xing, Yinghui Li, Shirong Ma, Xinnian Liang, Haojing Huang, Yangning Li, Hai-Tao Zheng, Wenhao Jiang, Ying Shen:
Mitigating Catastrophic Forgetting in Multi-domain Chinese Spelling Correction by Multi-stage Knowledge Transfer Framework. CoRR abs/2402.11422 (2024) - [i34]Ying Shen, Zhiyang Xu, Qifan Wang, Yu Cheng, Wenpeng Yin, Lifu Huang:
Multimodal Instruction Tuning with Conditional Mixture of LoRA. CoRR abs/2402.15896 (2024) - [i33]Zihao Yi, Jiarui Ouyang, Yuwen Liu, Tianhao Liao, Zhe Xu, Ying Shen:
A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems. CoRR abs/2402.18013 (2024) - [i32]Mengsha Liu, Daoyuan Chen, Yaliang Li, Guian Fang, Ying Shen:
ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization. CoRR abs/2403.11236 (2024) - [i31]Zhe Xu, Daoyuan Chen, Jiayi Kuang, Zihao Yi, Yaliang Li, Ying Shen:
Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation. CoRR abs/2404.02505 (2024) - [i30]Jingheng Ye, Zishan Xu, Yinghui Li, Xuxin Cheng, Linlin Song, Qingyu Zhou, Hai-Tao Zheng, Ying Shen, Xin Su:
CLEME2.0: Towards More Interpretable Evaluation by Disentangling Edits for Grammatical Error Correction. CoRR abs/2407.00934 (2024) - [i29]Qirui Jiao, Daoyuan Chen, Yilun Huang, Yaliang Li, Ying Shen:
Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models. CoRR abs/2408.04594 (2024) - 2023
- [j43]Chenhe Dong, Yinghui Li, Haifan Gong, Miaoxin Chen, Junxin Li, Ying Shen, Min Yang:
A Survey of Natural Language Generation. ACM Comput. Surv. 55(8): 173:1-173:38 (2023) - [j42]Ting Zhou, Ying Shen, Kang Chen, Qing Cao:
Hierarchical dual graph convolutional network for aspect-based sentiment analysis. Knowl. Based Syst. 276: 110740 (2023) - [j41]Yangning Li, Yinghui Li, Xi Chen, Hai-Tao Zheng, Ying Shen:
Active relation discovery: Towards general and label-aware open relation extraction. Knowl. Based Syst. 282: 111094 (2023) - [j40]Yilin Zhang, Ziran Li, Zhiyuan Liu, Hai-Tao Zheng, Ying Shen, Lan Zhou:
Event Detection With Dynamic Word-Trigger-Argument Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35(4): 3858-3869 (2023) - [j39]Yinghui Li, Shulin Huang, Xinwei Zhang, Qingyu Zhou, Yangning Li, Ruiyang Liu, Yunbo Cao, Hai-Tao Zheng, Ying Shen:
Automatic Context Pattern Generation for Entity Set Expansion. IEEE Trans. Knowl. Data Eng. 35(12): 12458-12469 (2023) - [j38]Ying Shen, Min Yang, Yaliang Li, Dong Wang, Hai-Tao Zheng, Daoyuan Chen:
Knowledge-Based Reasoning Network for Relation Detection. IEEE Trans. Neural Networks Learn. Syst. 34(8): 5051-5063 (2023) - [c67]Jingheng Ye, Yinghui Li, Qingyu Zhou, Yangning Li, Shirong Ma, Hai-Tao Zheng, Ying Shen:
CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction. EMNLP 2023: 6174-6189 - [c66]Haohao Luo, Ying Shen, Yang Deng:
Unifying Text, Tables, and Images for Multimodal Question Answering. EMNLP (Findings) 2023: 9355-9367 - [c65]Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li:
Tunable Soft Prompts are Messengers in Federated Learning. EMNLP (Findings) 2023: 14665-14675 - [c64]Zishuo Zhao, Yuexiang Xie, Jingyou Xie, Zhenzhou Lin, Yaliang Li, Ying Shen:
Source-Free Unsupervised Domain Adaptation for Question Answering. ICASSP 2023: 1-5 - [c63]Jingyou Xie, Zishuo Zhao, Zhenzhou Lin, Ying Shen:
Multimodal Graph Learning for Cross-Modal Retrieval. SDM 2023: 145-153 - [c62]Zhenzhou Lin, Zishuo Zhao, Jingyou Xie, Ying Shen:
Hierarchical Type Enhanced Negative Sampling for Knowledge Graph Embedding. SIGIR 2023: 2047-2051 - [i28]Chenhe Dong, Yuexiang Xie, Yaliang Li, Ying Shen:
Counterfactual Debiasing for Generating Factually Consistent Text Summaries. CoRR abs/2305.10736 (2023) - [i27]Jingheng Ye, Yinghui Li, Qingyu Zhou, Yangning Li, Shirong Ma, Hai-Tao Zheng, Ying Shen:
CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction. CoRR abs/2305.10819 (2023) - [i26]Xiaoyan Zhao, Yang Deng, Min Yang, Lingzhi Wang, Rui Zhang, Hong Cheng, Wai Lam, Ying Shen, Ruifeng Xu:
A Comprehensive Survey on Deep Learning for Relation Extraction: Recent Advances and New Frontiers. CoRR abs/2306.02051 (2023) - [i25]Shirong Ma, Yinghui Li, Haojing Huang, Shulin Huang, Yangning Li, Hai-Tao Zheng, Ying Shen:
Progressive Multi-task Learning Framework for Chinese Text Error Correction. CoRR abs/2306.17447 (2023) - [i24]Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li:
Tunable Soft Prompts are Messengers in Federated Learning. CoRR abs/2311.06805 (2023) - [i23]Yinghui Li, Zishan Xu, Shaoshen Chen, Haojing Huang, Yangning Li, Yong Jiang, Zhongli Li, Qingyu Zhou, Hai-Tao Zheng, Ying Shen:
Towards Real-World Writing Assistance: A Chinese Character Checking Benchmark with Faked and Misspelled Characters. CoRR abs/2311.11268 (2023) - 2022
- [j37]Ying Shen, Dagang Li, Du Nan:
Modeling path information for knowledge graph completion. Neural Comput. Appl. 34(3): 1951-1961 (2022) - [j36]Ying Shen, Yilin Zhang, Kaiqi Yuan, Dagang Li, Hai-Tao Zheng:
A Knowledge-Enhanced Multi-View Framework for Drug-Target Interaction Prediction. IEEE Trans. Big Data 8(5): 1387-1398 (2022) - [j35]Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Wai Lam, Ying Shen:
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge. ACM Trans. Inf. Syst. 40(1): 2:1-2:33 (2022) - [c61]Shirong Ma, Yinghui Li, Rongyi Sun, Qingyu Zhou, Shulin Huang, Ding Zhang, Yangning Li, Ruiyang Liu, Zhongli Li, Yunbo Cao, Haitao Zheng, Ying Shen:
Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction. EMNLP (Findings) 2022: 576-589 - [c60]Yinghui Li, Chen Wang, Yangning Li, Hai-Tao Zheng, Ying Shen:
Learning Purified Feature Representations from Task-irrelevant Labels. IJCNN 2022: 1-8 - [c59]Shiyang Lin, Chenhe Dong, Ying Shen:
Cross-perspective Graph Contrastive Learning. KSEM (1) 2022: 58-70 - [c58]Yinghui Li, Yangning Li, Yuxin He, Tianyu Yu, Ying Shen, Hai-Tao Zheng:
Contrastive Learning with Hard Negative Entities for Entity Set Expansion. SIGIR 2022: 1077-1086 - [i22]Yinghui Li, Yangning Li, Yuxin He, Tianyu Yu, Ying Shen, Hai-Tao Zheng:
Contrastive Learning with Hard Negative Entities for Entity Set Expansion. CoRR abs/2204.07789 (2022) - [i21]Yinghui Li, Shulin Huang, Xinwei Zhang, Qingyu Zhou, Yangning Li, Ruiyang Liu, Yunbo Cao, Hai-Tao Zheng, Ying Shen:
Automatic Context Pattern Generation for Entity Set Expansion. CoRR abs/2207.08087 (2022) - [i20]Shirong Ma, Yinghui Li, Rongyi Sun, Qingyu Zhou, Shulin Huang, Ding Zhang, Yangning Li, Ruiyang Liu, Zhongli Li, Yunbo Cao, Haitao Zheng, Ying Shen:
Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction. CoRR abs/2210.10442 (2022) - [i19]Shulin Huang, Shirong Ma, Yinghui Li, Yangning Li, Shiyang Lin, Hai-Tao Zheng, Ying Shen:
Towards Attribute-Entangled Controllable Text Generation: A Pilot Study of Blessing Generation. CoRR abs/2210.16557 (2022) - [i18]Yangning Li, Yinghui Li, Xi Chen, Hai-Tao Zheng, Ying Shen, Hong-Gee Kim:
Active Relation Discovery: Towards General and Label-aware Open Relation Extraction. CoRR abs/2211.04215 (2022) - [i17]Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li:
Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning. CoRR abs/2212.05789 (2022) - 2021
- [j34]Qing Cao, Nan Du, Li Yu, Ming Zuo, Jingsheng Lin, Nathan Liu, Erheng Zhong, Zizhu Liu, Qiaoran Chen, Ying Shen, Kang Chen:
Practical fine-grained learning based anomaly classification for ECG image. Artif. Intell. Medicine 119: 102130 (2021) - [j33]Nan Du, Qing Cao, Li Yu, Nathan Liu, Erheng Zhong, Zizhu Liu, Ying Shen, Kang Chen:
FM-ECG: A fine-grained multi-label framework for ECG image classification. Inf. Sci. 549: 164-177 (2021) - [j32]Chunpu Xu, Min Yang, Xiang Ao, Ying Shen, Ruifeng Xu, Jinwen Tian:
Retrieval-enhanced adversarial training with dynamic memory-augmented attention for image paragraph captioning. Knowl. Based Syst. 214: 106730 (2021) - [j31]Min Yang, Wenpeng Yin, Qiang Qu, Wenting Tu, Ying Shen, Xiaojun Chen:
Neural Attentive Network for Cross-Domain Aspect-Level Sentiment Classification. IEEE Trans. Affect. Comput. 12(3): 761-775 (2021) - [j30]Ying Shen, Ning Ding, Hai-Tao Zheng, Yaliang Li, Min Yang:
Modeling Relation Paths for Knowledge Graph Completion. IEEE Trans. Knowl. Data Eng. 33(11): 3607-3617 (2021) - [j29]Min Yang, Weiyi Huang, Wenting Tu, Qiang Qu, Ying Shen, Kai Lei:
Multitask Learning and Reinforcement Learning for Personalized Dialog Generation: An Empirical Study. IEEE Trans. Neural Networks Learn. Syst. 32(1): 49-62 (2021) - [j28]Min Yang, Chengming Li, Ying Shen, Qingyao Wu, Zhou Zhao, Xiaojun Chen:
Hierarchical Human-Like Deep Neural Networks for Abstractive Text Summarization. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2744-2757 (2021) - [j27]Min Yang, Qiang Qu, Ying Shen, Zhou Zhao, Xiaojun Chen, Chengming Li:
An Effective Hybrid Learning Model for Real-Time Event Summarization. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4419-4431 (2021) - [c57]Chunpu Xu, Min Yang, Chengming Li, Ying Shen, Xiang Ao, Ruifeng Xu:
Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning. AAAI 2021: 3022-3029 - [c56]Lingyun Feng, Minghui Qiu, Yaliang Li, Hai-Tao Zheng, Ying Shen:
Learning to Augment for Data-scarce Domain BERT Knowledge Distillation. AAAI 2021: 7422-7430 - [c55]Binzong Geng, Fajie Yuan, Qiancheng Xu, Ying Shen, Ruifeng Xu, Min Yang:
Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking. ACL/IJCNLP (2) 2021: 517-523 - [c54]Chenhe Dong, Yaliang Li, Ying Shen, Minghui Qiu:
HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression. EMNLP (1) 2021: 3126-3136 - [c53]Lingyun Feng, Minghui Qiu, Yaliang Li, Haitao Zheng, Ying Shen:
Wasserstein Selective Transfer Learning for Cross-domain Text Mining. EMNLP (1) 2021: 9772-9783 - [c52]Haozhuang Liu, Ziran Li, Dongming Sheng, Hai-Tao Zheng, Ying Shen:
Multi-Entity Collaborative Relation Extraction. ICASSP 2021: 7678-7682 - [c51]Ning Ding, Xiaobin Wang, Yao Fu, Guangwei Xu, Rui Wang, Pengjun Xie, Ying Shen, Fei Huang, Haitao Zheng, Rui Zhang:
Prototypical Representation Learning for Relation Extraction. ICLR 2021 - [c50]Dong Wang, Ziran Li, Dongming Sheng, Hai-Tao Zheng, Ying Shen:
Balance the Labels: Hierarchical Label Structured Network for Dialogue Act Recognition. IJCNN 2021: 1-8 - [c49]Lihan Wang, Min Yang, Chengming Li, Ying Shen, Ruifeng Xu:
Abstractive Text Summarization with Hierarchical Multi-scale Abstraction Modeling and Dynamic Memory. SIGIR 2021: 2086-2090 - [i16]Lingyun Feng, Minghui Qiu, Yaliang Li, Hai-Tao Zheng, Ying Shen:
Learning to Augment for Data-Scarce Domain BERT Knowledge Distillation. CoRR abs/2101.08106 (2021) - [i15]Ning Ding, Xiaobin Wang, Yao Fu, Guangwei Xu, Rui Wang, Pengjun Xie, Ying Shen, Fei Huang, Hai-Tao Zheng, Rui Zhang:
Prototypical Representation Learning for Relation Extraction. CoRR abs/2103.11647 (2021) - [i14]Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Wai Lam, Ying Shen:
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge. CoRR abs/2104.05216 (2021) - [i13]Binzong Geng, Fajie Yuan, Qiancheng Xu, Ying Shen, Ruifeng Xu, Min Yang:
Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking. CoRR abs/2107.08173 (2021) - [i12]Chenhe Dong, Yaliang Li, Ying Shen, Minghui Qiu:
HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression. CoRR abs/2110.08551 (2021) - [i11]Chenhe Dong, Yinghui Li, Haifan Gong, Miaoxin Chen, Junxin Li, Ying Shen, Min Yang:
A Survey of Natural Language Generation. CoRR abs/2112.11739 (2021) - 2020
- [j26]Kai Lei, Bing Zhang, Yu Li, Min Yang, Ying Shen:
Time-driven feature-aware jointly deep reinforcement learning for financial signal representation and algorithmic trading. Expert Syst. Appl. 140 (2020) - [j25]Min Yang, Xintong Wang, Yao Lu, Jianming Lv, Ying Shen, Chengming Li:
Plausibility-promoting generative adversarial network for abstractive text summarization with multi-task constraint. Inf. Sci. 521: 46-61 (2020) - [j24]Min Yang, Qiang Qu, Ying Shen, Kai Lei, Jia Zhu:
Cross-domain aspect/sentiment-aware abstractive review summarization by combining topic modeling and deep reinforcement learning. Neural Comput. Appl. 32(11): 6421-6433 (2020) - [j23]Kai Lei, Jin Zhang, Yuexiang Xie, Desi Wen, Daoyuan Chen, Min Yang, Ying Shen:
Path-based reasoning with constrained type attention for knowledge graph completion. Neural Comput. Appl. 32(11): 6957-6966 (2020) - [j22]Kai Lei, Yuexiang Xie, Shangru Zhong, Jingchao Dai, Min Yang, Ying Shen:
Generative adversarial fusion network for class imbalance credit scoring. Neural Comput. Appl. 32(12): 8451-8462 (2020) - [j21]Min Yang, Lei Chen, Ziyu Lyu, Junhao Liu, Ying Shen, Qingyao Wu:
Hierarchical fusion of common sense knowledge and classifier decisions for answer selection in community question answering. Neural Networks 132: 53-65 (2020) - [j20]Wei Zhao, Benyou Wang, Min Yang, Jianbo Ye, Zhou Zhao, Xiaojun Chen, Ying Shen:
Leveraging Long and Short-Term Information in Content-Aware Movie Recommendation via Adversarial Training. IEEE Trans. Cybern. 50(11): 4680-4693 (2020) - [j19]Min Yang, Junhao Liu, Lei Chen, Zhou Zhao, Xiaojun Chen, Ying Shen:
An Advanced Deep Generative Framework for Temporal Link Prediction in Dynamic Networks. IEEE Trans. Cybern. 50(12): 4946-4957 (2020) - [j18]Min Yang, Junhao Liu, Ying Shen, Zhou Zhao, Xiaojun Chen, Qingyao Wu, Chengming Li:
An Ensemble of Generation- and Retrieval-Based Image Captioning With Dual Generator Generative Adversarial Network. IEEE Trans. Image Process. 29: 9627-9640 (2020) - [c48]Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, Ying Shen:
Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering. AAAI 2020: 7651-7658 - [c47]Zibo Lin, Ziran Li, Ning Ding, Haitao Zheng, Ying Shen, Wei Wang, Cong-Zhi Zhao:
Integrating Linguistic Knowledge to Sentence Paraphrase Generation. AAAI 2020: 8368-8375 - [c46]Yuexiang Xie, Ying Shen, Yaliang Li, Min Yang, Kai Lei:
Attentive User-Engaged Adversarial Neural Network for Community Question Answering. AAAI 2020: 9322-9329 - [c45]Min Yang, Chengming Li, Fei Sun, Zhou Zhao, Ying Shen, Chenglin Wu:
Be Relevant, Non-Redundant, and Timely: Deep Reinforcement Learning for Real-Time Event Summarization. AAAI 2020: 9410-9417 - [c44]Junhao Liu, Kai Wang, Chunpu Xu, Zhou Zhao, Ruifeng Xu, Ying Shen, Min Yang:
Interactive Dual Generative Adversarial Networks for Image Captioning. AAAI 2020: 11588-11595 - [c43]Daoyuan Chen, Yaliang Li, Kai Lei, Ying Shen:
Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents. ACL 2020: 5940-5950 - [c42]Ying Shen, Joël Colloc, Armelle Jacquet-Andrieu:
Decision Support System for Acupuncture Treatment of Ischemic Stroke. ADMA 2020: 582-594 - [c41]Yang Deng, Dagang Li, Qiang Zhang, Ying Shen:
Medical Big Data Mining: Joint Symptom Name Recognition and Severity Estimation. BIBM 2020: 562-569 - [c40]Daoyuan Chen, Yaliang Li, Bolin Ding, Ying Shen:
An Adaptive Embedding Framework for Heterogeneous Information Networks. CIKM 2020: 165-174 - [c39]Dongming Sheng, Dong Wang, Ying Shen, Haitao Zheng, Haozhuang Liu:
Summarize before Aggregate: A Global-to-local Heterogeneous Graph Inference Network for Conversational Emotion Recognition. COLING 2020: 4153-4163 - [c38]Dong Wang, Ziran Li, Haitao Zheng, Ying Shen:
Integrating User History into Heterogeneous Graph for Dialogue Act Recognition. COLING 2020: 4211-4221 - [c37]Liuyin Wang, Zihan Xu, Zibo Lin, Haitao Zheng, Ying Shen:
Answer-driven Deep Question Generation based on Reinforcement Learning. COLING 2020: 5159-5170 - [c36]Wanwei He, Min Yang, Rui Yan, Chengming Li, Ying Shen, Ruifeng Xu:
Amalgamating Knowledge from Two Teachers for Task-oriented Dialogue System with Adversarial Training. EMNLP (1) 2020: 3498-3507 - [c35]Dong Wang, Ying Shen, Hai-Tao Zheng:
Knowledge Enhanced Latent Relevance Mining for Question Answering. ICASSP 2020: 4282-4286 - [c34]Yang Bai, Ziran Li, Ning Ding, Ying Shen, Hai-Tao Zheng:
Infobox-to-text Generation with Tree-like Planning based Attention Network. IJCAI 2020: 3773-3779 - [c33]Ziran Li, Zibo Lin, Ning Ding, Hai-Tao Zheng, Ying Shen:
Triple-to-Text Generation with an Anchor-to-Prototype Framework. IJCAI 2020: 3780-3786 - [c32]Yang Deng, Wenxuan Zhang, Yaliang Li, Min Yang, Wai Lam, Ying Shen:
Bridging Hierarchical and Sequential Context Modeling for Question-driven Extractive Answer Summarization. SIGIR 2020: 1693-1696 - [c31]Min Yang, Ying Shen, Xiaojun Chen, Chengming Li:
Multi-source Domain Adaptation for Sentiment Classification with Granger Causal Inference. SIGIR 2020: 1913-1916 - [i10]Daoyuan Chen, Yaliang Li, Kai Lei, Ying Shen:
Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents. CoRR abs/2004.09930 (2020)
2010 – 2019
- 2019
- [j17]Ying Shen, Yaliang Li, Hai-Tao Zheng, Buzhou Tang, Min Yang:
Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier. BMC Bioinform. 20(1): 330:1-330:14 (2019) - [j16]Shuai Yu, Min Yang, Qiang Qu, Ying Shen:
Contextual-boosted deep neural collaborative filtering model for interpretable recommendation. Expert Syst. Appl. 136: 365-375 (2019) - [j15]Jia Zhu, Gabriel Pui Cheong Fung, Zeyang Lei, Min Yang, Ying Shen:
An in-depth study of similarity predicate committee. Inf. Process. Manag. 56(3): 381-393 (2019) - [j14]Min Yang, Qiang Qu, Xiaojun Chen, Wenting Tu, Ying Shen, Jia Zhu:
Discovering author interest evolution in order-sensitive and Semantic-aware topic modeling. Inf. Sci. 486: 271-286 (2019) - [j13]Ying Shen, Kaiqi Yuan, Min Yang, Buzhou Tang, Yaliang Li, Nan Du, Kai Lei:
KMR: knowledge-oriented medicine representation learning for drug-drug interaction and similarity computation. J. Cheminformatics 11(1): 22:1-22:16 (2019) - [j12]Ying Shen, Kaiqi Yuan, Jingchao Dai, Buzhou Tang, Min Yang, Kai Lei:
KGDDS: A System for Drug-Drug Similarity Measure in Therapeutic Substitution based on Knowledge Graph Curation. J. Medical Syst. 43(4): 92:1-92:9 (2019) - [j11]