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2020 – today
- 2024
- [j8]Tong Xia, Xuancheng Ren, Yuntian Liu, Niutao Liu, Feng Xu, Ya-Qiu Jin:
Detection of Surface Rocks and Small Craters in Permanently Shadowed Regions of the Lunar South Pole Based on YOLOv7 and Markov Random Field Algorithms in SAR Images. Remote. Sens. 16(11): 1834 (2024) - [i54]An Yang, Baosong Yang, Binyuan Hui, Bo Zheng, Bowen Yu, Chang Zhou, Chengpeng Li, Chengyuan Li, Dayiheng Liu, Fei Huang, Guanting Dong, Haoran Wei, Huan Lin, Jialong Tang, Jialin Wang, Jian Yang, Jianhong Tu, Jianwei Zhang, Jianxin Ma, Jianxin Yang, Jin Xu, Jingren Zhou, Jinze Bai, Jinzheng He, Junyang Lin, Kai Dang, Keming Lu, Keqin Chen, Kexin Yang, Mei Li, Mingfeng Xue, Na Ni, Pei Zhang, Peng Wang, Ru Peng, Rui Men, Ruize Gao, Runji Lin, Shijie Wang, Shuai Bai, Sinan Tan, Tianhang Zhu, Tianhao Li, Tianyu Liu, Wenbin Ge, Xiaodong Deng, Xiaohuan Zhou, Xingzhang Ren, Xinyu Zhang, Xipin Wei, Xuancheng Ren, Xuejing Liu, Yang Fan, Yang Yao, Yichang Zhang, Yu Wan, Yunfei Chu, Yuqiong Liu, Zeyu Cui, Zhenru Zhang, Zhifang Guo, Zhihao Fan:
Qwen2 Technical Report. CoRR abs/2407.10671 (2024) - [i53]Binyuan Hui, Jian Yang, Zeyu Cui, Jiaxi Yang, Dayiheng Liu, Lei Zhang, Tianyu Liu, Jiajun Zhang, Bowen Yu, Kai Dang, An Yang, Rui Men, Fei Huang, Xingzhang Ren, Xuancheng Ren, Jingren Zhou, Junyang Lin:
Qwen2.5-Coder Technical Report. CoRR abs/2409.12186 (2024) - [i52]Peng Wang, Shuai Bai, Sinan Tan, Shijie Wang, Zhihao Fan, Jinze Bai, Keqin Chen, Xuejing Liu, Jialin Wang, Wenbin Ge, Yang Fan, Kai Dang, Mengfei Du, Xuancheng Ren, Rui Men, Dayiheng Liu, Chang Zhou, Jingren Zhou, Junyang Lin:
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution. CoRR abs/2409.12191 (2024) - 2023
- [c37]Junyang Lin, Xuancheng Ren, Yichang Zhang, Gao Liu, Peng Wang, An Yang, Chang Zhou:
Transferring General Multimodal Pretrained Models to Text Recognition. ACL (Findings) 2023: 588-597 - [c36]Shuhuai Ren, Lei Li, Xuancheng Ren, Guangxiang Zhao, Xu Sun:
Delving into the Openness of CLIP. ACL (Findings) 2023: 9587-9606 - [c35]Jianbang Ding, Xuancheng Ren, Ruixuan Luo:
An Adaptive Learning Method for Solving the Extreme Learning Rate Problem of Transformer. NLPCC (1) 2023: 361-372 - [i51]Jinze Bai, Shuai Bai, Yunfei Chu, Zeyu Cui, Kai Dang, Xiaodong Deng, Yang Fan, Wenbin Ge, Yu Han, Fei Huang, Binyuan Hui, Luo Ji, Mei Li, Junyang Lin, Runji Lin, Dayiheng Liu, Gao Liu, Chengqiang Lu, Keming Lu, Jianxin Ma, Rui Men, Xingzhang Ren, Xuancheng Ren, Chuanqi Tan, Sinan Tan, Jianhong Tu, Peng Wang, Shijie Wang, Wei Wang, Shengguang Wu, Benfeng Xu, Jin Xu, An Yang, Hao Yang, Jian Yang, Shusheng Yang, Yang Yao, Bowen Yu, Hongyi Yuan, Zheng Yuan, Jianwei Zhang, Xingxuan Zhang, Yichang Zhang, Zhenru Zhang, Chang Zhou, Jingren Zhou, Xiaohuan Zhou, Tianhang Zhu:
Qwen Technical Report. CoRR abs/2309.16609 (2023) - 2022
- [j7]Fenglin Liu, Xian Wu, Shen Ge, Xuancheng Ren, Wei Fan, Xu Sun, Yuexian Zou:
DiMBERT: Learning Vision-Language Grounded Representations with Disentangled Multimodal-Attention. ACM Trans. Knowl. Discov. Data 16(1): 1:1-1:19 (2022) - [c34]Guangxiang Zhao, Wenkai Yang, Xuancheng Ren, Lei Li, Yunfang Wu, Xu Sun:
Well-Classified Examples Are Underestimated in Classification with Deep Neural Networks. AAAI 2022: 9180-9189 - [c33]Shaoxiong Feng, Xuancheng Ren, Kan Li, Xu Sun:
Hierarchical Inductive Transfer for Continual Dialogue Learning. ACL (Findings) 2022: 693-699 - [c32]Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun:
From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models. EMNLP (Findings) 2022: 6391-6402 - [c31]Deli Chen, Yankai Lin, Lei Li, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun:
Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification. IJCAI 2022: 2852-2858 - [i50]Shaoxiong Feng, Xuancheng Ren, Kan Li, Xu Sun:
Hierarchical Inductive Transfer for Continual Dialogue Learning. CoRR abs/2203.10484 (2022) - [i49]Shuhuai Ren, Lei Li, Xuancheng Ren, Guangxiang Zhao, Xu Sun:
Rethinking the Openness of CLIP. CoRR abs/2206.01986 (2022) - [i48]Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun:
From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models. CoRR abs/2210.05230 (2022) - [i47]Fenglin Liu, Xuewei Ma, Xuancheng Ren, Xian Wu, Wei Fan, Yuexian Zou, Xu Sun:
Prophet Attention: Predicting Attention with Future Attention for Improved Image Captioning. CoRR abs/2210.10914 (2022) - [i46]Fenglin Liu, Xian Wu, Shen Ge, Xuancheng Ren, Wei Fan, Xu Sun, Yuexian Zou:
DiMBERT: Learning Vision-Language Grounded Representations with Disentangled Multimodal-Attention. CoRR abs/2210.16431 (2022) - [i45]Jinze Bai, Rui Men, Hao Yang, Xuancheng Ren, Kai Dang, Yichang Zhang, Xiaohuan Zhou, Peng Wang, Sinan Tan, An Yang, Zeyu Cui, Yu Han, Shuai Bai, Wenbin Ge, Jianxin Ma, Junyang Lin, Jingren Zhou, Chang Zhou:
OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models. CoRR abs/2212.04408 (2022) - [i44]Junyang Lin, Xuancheng Ren, Yichang Zhang, Gao Liu, Peng Wang, An Yang, Chang Zhou:
Transferring General Multimodal Pretrained Models to Text Recognition. CoRR abs/2212.09297 (2022) - 2021
- [j6]Zhiyuan Zhang, Ruixuan Luo, Xuancheng Ren, Qi Su, Liangyou Li, Xu Sun:
Adversarial parameter defense by multi-step risk minimization. Neural Networks 144: 154-163 (2021) - [c30]Shaoxiong Feng, Hongshen Chen, Xuancheng Ren, Zhuoye Ding, Kan Li, Xu Sun:
Collaborative Group Learning. AAAI 2021: 7431-7438 - [c29]Xu Sun, Zhiyuan Zhang, Xuancheng Ren, Ruixuan Luo, Liangyou Li:
Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption. AAAI 2021: 11648-11656 - [c28]Shaoxiong Feng, Xuancheng Ren, Kan Li, Xu Sun:
Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation. AAAI 2021: 12812-12820 - [c27]Xuancheng Ren, Xu Sun, Houfeng Wang, Qun Liu:
Towards Semantics-Enhanced Pre-Training: Can Lexicon Definitions Help Learning Sentence Meanings? AAAI 2021: 13736-13744 - [c26]Fenglin Liu, Xuancheng Ren, Xian Wu, Bang Yang, Shen Ge, Xu Sun:
O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning. ACL/IJCNLP (Findings) 2021: 281-292 - [c25]Fuli Luo, Pengcheng Yang, Shicheng Li, Xuancheng Ren, Xu Sun, Songfang Huang, Fei Huang:
Rethinking Denoised Auto-Encoding in Language Pre-Training. EMNLP (1) 2021: 2922-2932 - [c24]Kaiyuan Liao, Yi Zhang, Xuancheng Ren, Qi Su, Xu Sun, Bin He:
A Global Past-Future Early Exit Method for Accelerating Inference of Pre-trained Language Models. NAACL-HLT 2021: 2013-2023 - [c23]Wenkai Yang, Lei Li, Zhiyuan Zhang, Xuancheng Ren, Xu Sun, Bin He:
Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models. NAACL-HLT 2021: 2048-2058 - [c22]Zhiyuan Zhang, Xuancheng Ren, Qi Su, Xu Sun, Bin He:
Neural Network Surgery: Injecting Data Patterns into Pre-trained Models with Minimal Instance-wise Side Effects. NAACL-HLT 2021: 5453-5466 - [c21]Deli Chen, Yankai Lin, Guangxiang Zhao, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun:
Topology-Imbalance Learning for Semi-Supervised Node Classification. NeurIPS 2021: 29885-29897 - [i43]Shaoxiong Feng, Xuancheng Ren, Kan Li, Xu Sun:
Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation. CoRR abs/2102.10780 (2021) - [i42]Wenkai Yang, Lei Li, Zhiyuan Zhang, Xuancheng Ren, Xu Sun, Bin He:
Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models. CoRR abs/2103.15543 (2021) - [i41]Fenglin Liu, Xuancheng Ren, Zhiyuan Zhang, Xu Sun, Yuexian Zou:
Rethinking Skip Connection with Layer Normalization in Transformers and ResNets. CoRR abs/2105.07205 (2021) - [i40]Fenglin Liu, Xuancheng Ren, Xian Wu, Bang Yang, Shen Ge, Xu Sun:
O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning. CoRR abs/2108.02359 (2021) - [i39]Zhiyuan Zhang, Ruixuan Luo, Xuancheng Ren, Qi Su, Liangyou Li, Xu Sun:
Adversarial Parameter Defense by Multi-Step Risk Minimization. CoRR abs/2109.02889 (2021) - [i38]Deli Chen, Yankai Lin, Guangxiang Zhao, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun:
Topology-Imbalance Learning for Semi-Supervised Node Classification. CoRR abs/2110.04099 (2021) - [i37]Guangxiang Zhao, Wenkai Yang, Xuancheng Ren, Lei Li, Xu Sun:
Well-classified Examples are Underestimated in Classification with Deep Neural Networks. CoRR abs/2110.06537 (2021) - [i36]Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun:
Model Uncertainty-Aware Knowledge Amalgamation for Pre-Trained Language Models. CoRR abs/2112.07327 (2021) - 2020
- [j5]Zhiyuan Zhang, Pengcheng Yang, Xuancheng Ren, Qi Su, Xu Sun:
Memorized sparse backpropagation. Neurocomputing 415: 397-407 (2020) - [j4]Xu Sun, Xuancheng Ren, Shuming Ma, Bingzhen Wei, Wei Li, Jingjing Xu, Houfeng Wang, Yi Zhang:
Training Simplification and Model Simplification for Deep Learning : A Minimal Effort Back Propagation Method. IEEE Trans. Knowl. Data Eng. 32(2): 374-387 (2020) - [c20]Fenglin Liu, Xuancheng Ren, Zhiyuan Zhang, Xu Sun, Yuexian Zou:
Rethinking Skip Connection with Layer Normalization. COLING 2020: 3586-3598 - [c19]Shaoxiong Feng, Xuancheng Ren, Hongshen Chen, Bin Sun, Kan Li, Xu Sun:
Regularizing Dialogue Generation by Imitating Implicit Scenarios. EMNLP (1) 2020: 6592-6604 - [c18]Fenglin Liu, Xuancheng Ren, Xian Wu, Shen Ge, Wei Fan, Yuexian Zou, Xu Sun:
Prophet Attention: Predicting Attention with Future Attention. NeurIPS 2020 - [i35]Fenglin Liu, Xuancheng Ren, Yuanxin Liu, Kai Lei, Xu Sun:
Exploring and Distilling Cross-Modal Information for Image Captioning. CoRR abs/2002.12585 (2020) - [i34]Fenglin Liu, Xuancheng Ren, Guangxiang Zhao, Xu Sun:
Layer-Wise Cross-View Decoding for Sequence-to-Sequence Learning. CoRR abs/2005.08081 (2020) - [i33]Xu Sun, Zhiyuan Zhang, Xuancheng Ren, Ruixuan Luo, Liangyou Li:
Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption. CoRR abs/2006.05620 (2020) - [i32]Shaoxiong Feng, Hongshen Chen, Xuancheng Ren, Zhuoye Ding, Kan Li, Xu Sun:
Collaborative Group Learning. CoRR abs/2009.07712 (2020) - [i31]Shaoxiong Feng, Xuancheng Ren, Hongshen Chen, Bin Sun, Kan Li, Xu Sun:
Regularizing Dialogue Generation by Imitating Implicit Scenarios. CoRR abs/2010.01893 (2020) - [i30]Fuli Luo, Pengcheng Yang, Shicheng Li, Xuancheng Ren, Xu Sun:
CAPT: Contrastive Pre-Training for Learning Denoised Sequence Representations. CoRR abs/2010.06351 (2020) - [i29]Deli Chen, Yanyai Lin, Lei Li, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun:
Distance-wise Graph Contrastive Learning. CoRR abs/2012.07437 (2020) - [i28]Lei Li, Yankai Lin, Shuhuai Ren, Deli Chen, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun:
Accelerating Pre-trained Language Models via Calibrated Cascade. CoRR abs/2012.14682 (2020)
2010 – 2019
- 2019
- [j3]Xu Sun, Shuming Ma, Yi Zhang, Xuancheng Ren:
Towards easier and faster sequence labeling for natural language processing: A search-based probabilistic online learning framework (SAPO). Inf. Sci. 478: 303-317 (2019) - [j2]Bingzhen Wei, Xuancheng Ren, Yi Zhang, Xiaoyan Cai, Qi Su, Xu Sun:
Regularizing Output Distribution of Abstractive Chinese Social Media Text Summarization for Improved Semantic Consistency. ACM Trans. Asian Low Resour. Lang. Inf. Process. 18(3): 31:1-31:15 (2019) - [c17]Chen Wu, Xuancheng Ren, Fuli Luo, Xu Sun:
A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer. ACL (1) 2019: 4873-4883 - [c16]Fenglin Liu, Xuancheng Ren, Yuanxin Liu, Kai Lei, Xu Sun:
Exploring and Distilling Cross-Modal Information for Image Captioning. IJCAI 2019: 5095-5101 - [c15]Guangxiang Zhao, Jingjing Xu, Qi Zeng, Xuancheng Ren, Xu Sun:
Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations. NAACL-HLT (1) 2019: 2884-2891 - [c14]Fenglin Liu, Yuanxin Liu, Xuancheng Ren, Xiaodong He, Xu Sun:
Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations. NeurIPS 2019: 6847-6857 - [c13]Shu Liu, Jingjing Xu, Xuancheng Ren:
Evaluating Semantic Rationality of a Sentence: A Sememe-Word-Matching Neural Network Based on HowNet. NLPCC (1) 2019: 787-800 - [i27]Fenglin Liu, Yuanxin Liu, Xuancheng Ren, Kai Lei, Xu Sun:
Aligning Visual Regions and Textual Concepts: Learning Fine-Grained Image Representations for Image Captioning. CoRR abs/1905.06139 (2019) - [i26]Zhiyuan Zhang, Pengcheng Yang, Xuancheng Ren, Xu Sun:
Memorized Sparse Backpropagation. CoRR abs/1905.10194 (2019) - [i25]Chen Wu, Xuancheng Ren, Fuli Luo, Xu Sun:
A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer. CoRR abs/1906.01833 (2019) - [i24]Ruixuan Luo, Jingjing Xu, Yi Zhang, Xuancheng Ren, Xu Sun:
PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation. CoRR abs/1906.11455 (2019) - [i23]Deli Chen, Yanyan Zou, Keiko Harimoto, Ruihan Bao, Xuancheng Ren, Xu Sun:
Incorporating Fine-grained Events in Stock Movement Prediction. CoRR abs/1910.05078 (2019) - [i22]Jianbang Ding, Xuancheng Ren, Ruixuan Luo, Xu Sun:
An Adaptive and Momental Bound Method for Stochastic Learning. CoRR abs/1910.12249 (2019) - [i21]Guangxiang Zhao, Junyang Lin, Zhiyuan Zhang, Xuancheng Ren, Qi Su, Xu Sun:
Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection. CoRR abs/1912.11637 (2019) - 2018
- [j1]Jingjing Xu, Hangfeng He, Xu Sun, Xuancheng Ren, Sujian Li:
Cross-Domain and Semisupervised Named Entity Recognition in Chinese Social Media: A Unified Model. IEEE ACM Trans. Audio Speech Lang. Process. 26(11): 2142-2152 (2018) - [c12]Jingjing Xu, Xu Sun, Qi Zeng, Xiaodong Zhang, Xuancheng Ren, Houfeng Wang, Wenjie Li:
Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach. ACL (1) 2018: 979-988 - [c11]Yi Zhang, Xu Sun, Shuming Ma, Yang Yang, Xuancheng Ren:
Does Higher Order LSTM Have Better Accuracy for Segmenting and Labeling Sequence Data? COLING 2018: 723-733 - [c10]Junyang Lin, Xu Sun, Xuancheng Ren, Shuming Ma, Jinsong Su, Qi Su:
Deconvolution-Based Global Decoding for Neural Machine Translation. COLING 2018: 3260-3271 - [c9]Fenglin Liu, Xuancheng Ren, Yuanxin Liu, Houfeng Wang, Xu Sun:
simNet: Stepwise Image-Topic Merging Network for Generating Detailed and Comprehensive Image Captions. EMNLP 2018: 137-149 - [c8]Junyang Lin, Xu Sun, Xuancheng Ren, Muyu Li, Qi Su:
Learning When to Concentrate or Divert Attention: Self-Adaptive Attention Temperature for Neural Machine Translation. EMNLP 2018: 2985-2990 - [c7]Jingjing Xu, Xuancheng Ren, Junyang Lin, Xu Sun:
Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text Generation. EMNLP 2018: 3940-3949 - [c6]Jingjing Xu, Xuancheng Ren, Yi Zhang, Qi Zeng, Xiaoyan Cai, Xu Sun:
A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation. EMNLP 2018: 4306-4315 - [c5]Shuming Ma, Xu Sun, Junyang Lin, Xuancheng Ren:
A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification. IJCAI 2018: 4251-4257 - [c4]Xuancheng Ren, Xu Sun, Ji Wen, Bingzhen Wei, Weidong Zhan, Zhiyuan Zhang:
Building an Ellipsis-aware Chinese Dependency Treebank for Web Text. LREC 2018 - [c3]Shuming Ma, Xu Sun, Wei Li, Sujian Li, Wenjie Li, Xuancheng Ren:
Query and Output: Generating Words by Querying Distributed Word Representations for Paraphrase Generation. NAACL-HLT 2018: 196-206 - [c2]Ji Wen, Xu Sun, Xuancheng Ren, Qi Su:
Structure Regularized Neural Network for Entity Relation Classification for Chinese Literature Text. NAACL-HLT (2) 2018: 365-370 - [i20]Xuancheng Ren, Xu Sun, Ji Wen, Bingzhen Wei, Weidong Zhan, Zhiyuan Zhang:
Building an Ellipsis-aware Chinese Dependency Treebank for Web Text. CoRR abs/1801.06613 (2018) - [i19]Jingjing Xu, Xu Sun, Xuancheng Ren, Junyang Lin, Bingzhen Wei, Wei Li:
DP-GAN: Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text. CoRR abs/1802.01345 (2018) - [i18]Shuming Ma, Xu Sun, Wei Li, Sujian Li, Wenjie Li, Xuancheng Ren:
Query and Output: Generating Words by Querying Distributed Word Representations for Paraphrase Generation. CoRR abs/1803.01465 (2018) - [i17]Ji Wen, Xu Sun, Xuancheng Ren, Qi Su:
Structure Regularized Neural Network for Entity Relation Classification for Chinese Literature Text. CoRR abs/1803.05662 (2018) - [i16]Shuming Ma, Xu Sun, Junyang Lin, Xuancheng Ren:
A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification. CoRR abs/1805.01089 (2018) - [i15]Bingzhen Wei, Xuancheng Ren, Xu Sun, Yi Zhang, Xiaoyan Cai, Qi Su:
Regularizing Output Distribution of Abstractive Chinese Social Media Text Summarization for Improved Semantic Consistency. CoRR abs/1805.04033 (2018) - [i14]Jingjing Xu, Xu Sun, Qi Zeng, Xuancheng Ren, Xiaodong Zhang, Houfeng Wang, Wenjie Li:
Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach. CoRR abs/1805.05181 (2018) - [i13]Junyang Lin, Xu Sun, Xuancheng Ren, Shuming Ma, Jinsong Su, Qi Su:
Deconvolution-Based Global Decoding for Neural Machine Translation. CoRR abs/1806.03692 (2018) - [i12]Wei Li, Xuancheng Ren, Damai Dai, Yunfang Wu, Houfeng Wang, Xu Sun:
Sememe Prediction: Learning Semantic Knowledge from Unstructured Textual Wiki Descriptions. CoRR abs/1808.05437 (2018) - [i11]Jingjing Xu, Xuancheng Ren, Yi Zhang, Qi Zeng, Xiaoyan Cai, Xu Sun:
A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation. CoRR abs/1808.06945 (2018) - [i10]Junyang Lin, Xu Sun, Xuancheng Ren, Muyu Li, Qi Su:
Learning When to Concentrate or Divert Attention: Self-Adaptive Attention Temperature for Neural Machine Translation. CoRR abs/1808.07374 (2018) - [i9]Guangxiang Zhao, Jingjing Xu, Qi Zeng, Xuancheng Ren:
Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations. CoRR abs/1808.07604 (2018) - [i8]Fenglin Liu, Xuancheng Ren, Yuanxin Liu, Houfeng Wang, Xu Sun:
simNet: Stepwise Image-Topic Merging Network for Generating Detailed and Comprehensive Image Captions. CoRR abs/1808.08732 (2018) - [i7]Shu Liu, Jingjing Xu, Xuancheng Ren, Xu Sun:
Evaluating Semantic Rationality of a Sentence: A Sememe-Word-Matching Neural Network based on HowNet. CoRR abs/1809.03999 (2018) - 2017
- [c1]Xu Sun, Xuancheng Ren, Shuming Ma, Houfeng Wang:
meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting. ICML 2017: 3299-3308 - [i6]Xu Sun, Xuancheng Ren, Shuming Ma, Houfeng Wang:
meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting. CoRR abs/1706.06197 (2017) - [i5]Bingzhen Wei, Xu Sun, Xuancheng Ren, Jingjing Xu:
Minimal Effort Back Propagation for Convolutional Neural Networks. CoRR abs/1709.05804 (2017) - [i4]Xu Sun, Bingzhen Wei, Xuancheng Ren, Shuming Ma:
Label Embedding Network: Learning Label Representation for Soft Training of Deep Networks. CoRR abs/1710.10393 (2017) - [i3]Xu Sun, Xuancheng Ren, Shuming Ma, Bingzhen Wei, Wei Li, Houfeng Wang:
Training Simplification and Model Simplification for Deep Learning: A Minimal Effort Back Propagation Method. CoRR abs/1711.06528 (2017) - [i2]Xuancheng Ren, Xu Sun:
Hybrid Oracle: Making Use of Ambiguity in Transition-based Chinese Dependency Parsing. CoRR abs/1711.10163 (2017) - [i1]Xu Sun, Weiwei Sun, Shuming Ma, Xuancheng Ren, Yi Zhang, Wenjie Li, Houfeng Wang:
Complex Structure Leads to Overfitting: A Structure Regularization Decoding Method for Natural Language Processing. CoRR abs/1711.10331 (2017)
Coauthor Index
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