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Journal Articles
- 2023
[j15]Changliang Li, Qingqing Zhang:
Analysis of influencing factors of college students' entrepreneurship based on decision tree model. Int. J. Comput. Sci. Math. 18(4): 378-391 (2023)- 2022
- [j14]Lijun Zhang
, Shaowei Fang, Jiayi Xu, Ning Yang, Weijian Guo, Hang Wang, Changliang Li:
Research on three-section type tool path planning algorithm for tooth hot pressing model cutting. Comput. Ind. Eng. 163: 107817 (2022) - [j13]Changliang Li, Hui Liu:
Analysis on College Students' Extracurricular Learning Interests Based on Their Book Borrowing Behaviours. Int. J. Emerg. Technol. Learn. 17(5): 133-146 (2022) - [j12]Junfeng Fan, Mei-Ling Wang, Changliang Li, Zi-Qiang Zhu, Lu Mao:
Intent-Slot Correlation Modeling for Joint Intent Prediction and Slot Filling. J. Comput. Sci. Technol. 37(2): 309-319 (2022) - 2021
- [j11]Yuan Gong, Lu Mao, Changliang Li:
Few-shot Learning for Named Entity Recognition Based on BERT and Two-level Model Fusion. Data Intell. 3(4): 568-577 (2021) - [j10]Changliang Li, Hui Liu:
Analysis of an Extensible Teaching Mode for Cultivating College Students into Innovative Talents. Int. J. Emerg. Technol. Learn. 16(10) (2021) - [j9]Zhijun Wu, Junjun Guo, Chenlei Zhang, Changliang Li:
Steganography and Steganalysis in Voice over IP: A Review. Sensors 21(4): 1032 (2021) - 2020
- [j8]Zhijun Wu, Rong Li, Changliang Li:
Adaptive Speech Information Hiding Method Based on K-Means. IEEE Access 8: 23308-23316 (2020) - [j7]Zhijun Wu, Rong Li, Panpan Yin, Changliang Li:
Steganalysis of Quantization Index Modulation Steganography in G.723.1 Codec. Future Internet 12(1): 17 (2020) - [j6]Xiao Sun, Jia Li, Xing Wei, Changliang Li, Jianhua Tao:
Emotional editing constraint conversation content generation based on reinforcement learning. Inf. Fusion 56: 70-80 (2020) - [j5]Peilun Zhou, Tong Xu, Zhizhuo Yin, Dong Liu, Enhong Chen, Guangyi Lv, Changliang Li:
Character-Oriented Video Summarization With Visual and Textual Cues. IEEE Trans. Multim. 22(10): 2684-2697 (2020) - [j4]Xiao Sun, Jia Li, Xing Wei, Changliang Li, Jianhua Tao:
Emotional Conversation Generation Based on a Bayesian Deep Neural Network. ACM Trans. Inf. Syst. 38(1): 8:1-8:24 (2020) - 2019
- [j3]Zhijun Wu, Changliang Li, Yongpeng Sha:
Speech Information Hiding Algorithm Based on Complete Binary Tree Dynamic Codebook Grouping. IEEE Access 7: 147513-147522 (2019) - [j2]Xiao Sun, Tao Hong, Changliang Li, Fuji Ren:
Hybrid spatiotemporal models for sentiment classification via galvanic skin response. Neurocomputing 358: 385-400 (2019) - 2017
- [j1]Yujun Zhou, Jiaming Xu, Jie Cao, Bo Xu, Changliang Li, Bo Xu:
Hybrid Attention Networks for Chinese Short Text Classification. Computación y Sistemas 21(4) (2017)
Conference and Workshop Papers
- 2021
- [c44]Chi Hu, Chenglong Wang, Xiangnan Ma, Xia Meng, Yinqiao Li, Tong Xiao, Jingbo Zhu, Changliang Li:
RankNAS: Efficient Neural Architecture Search by Pairwise Ranking. EMNLP (1) 2021: 2469-2480 - [c43]Yingfeng Luo, Changliang Li, Canan Huang, Chen Xu, Xin Zeng, Binghao Wei, Tong Xiao, Jingbo Zhu:
Chinese Poetry Generation with Metrical Constraints. NLPCC (1) 2021: 377-388 - 2020
- [c42]Junnan Zhu, Yu Zhou, Jiajun Zhang, Haoran Li, Chengqing Zong, Changliang Li:
Multimodal Summarization with Guidance of Multimodal Reference. AAAI 2020: 9749-9756 - [c41]Bei Li, Hui Liu, Ziyang Wang, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu, Changliang Li:
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation. ACL 2020: 3512-3518 - [c40]Yinqiao Li, Chi Hu, Yuhao Zhang, Nuo Xu, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu, Changliang Li:
Learning Architectures from an Extended Search Space for Language Modeling. ACL 2020: 6629-6639 - [c39]Lu Mao, Meiling Wang, Changliang Li, Junfeng Fan, Changyu Hou:
IBRE: An Incremental Bootstrapping Approach for Chinese Appointment and Dismissal Relation Extraction. CCKS 2020: 132-144 - [c38]Qiang Wang, Changliang Li, Yue Zhang, Tong Xiao, Jingbo Zhu:
Layer-Wise Multi-View Learning for Neural Machine Translation. COLING 2020: 4275-4286 - 2019
- [c37]Qiang Wang, Bei Li, Tong Xiao, Jingbo Zhu, Changliang Li, Derek F. Wong, Lidia S. Chao:
Learning Deep Transformer Models for Machine Translation. ACL (1) 2019: 1810-1822 - [c36]Bin Liu, Shuai Nie, Wenju Liu, Hui Zhang, Xiangang Li, Changliang Li:
Deep Segment Attentive Embedding for Duration Robust Speaker Verification. APSIPA 2019: 822-826 - [c35]Jingdong Li, Hui Zhang, Xueliang Zhang, Changliang Li:
Single Channel Speech Enhancement Using Temporal Convolutional Recurrent Neural Networks. APSIPA 2019: 896-900 - [c34]Changyu Hou, Meiling Wang, Changliang Li:
Entity Subword Encoding for Chinese Long Entity Recognition. CCKS 2019: 123-135 - [c33]Dong Yu, Lu Liu, Chen Yu, Changliang Li:
Testing the Reasoning Power for NLI Models with Annotated Multi-perspective Entailment Dataset. CCL 2019: 15-26 - [c32]Changliang Li, Yan Zhao, Dong Yu:
Conditional Joint Model for Spoken Dialogue System. ICCC 2019: 26-36 - [c31]Changliang Li, Yixin Su, Ji Qi, Min Xiao:
Using GAN to Generate Sport News from Live Game Stats. ICCC 2019: 102-116 - [c30]Bin Liu, Shuai Nie, Shan Liang, Wenju Liu, Meng Yu, Lianwu Chen, Shouye Peng, Changliang Li:
Jointly Adversarial Enhancement Training for Robust End-to-End Speech Recognition. INTERSPEECH 2019: 491-495 - [c29]Guanjun Li, Shan Liang, Shuai Nie, Wenju Liu, Meng Yu, Lianwu Chen, Shouye Peng, Changliang Li:
Direction-Aware Speaker Beam for Multi-Channel Speaker Extraction. INTERSPEECH 2019: 2713-2717 - [c28]Saike He, Changliang Li, Hailiang Wang, Xiaolong Zheng, Zhu Zhang, Jiaojiao Wang, Daniel Zeng:
Attention Allocation of Twitter Users in Geopolitics. ISI 2019: 1-6 - [c27]Yujun Zhou, Changliang Li, Saike He, Xiaoqi Wang, Yiming Qiu:
Pre-trained Contextualized Representation for Chinese Conversation Topic Classification. ISI 2019: 122-127 - [c26]Changliang Li, Yujun Zhou, Saike He, Hailiang Wang:
Sentiment Analysis Based on Background Knowledge Attention. ISI 2019: 206-208 - [c25]Changliang Li, Jiayu Xie, Yaoguang Xing:
Neural Classifier with Statistic Information of User and Product for Sentiment Analysis. NLPCC (2) 2019: 370-380 - [c24]Changliang Li, Changsong Li, Pengyuan Liu:
Sentiment Analysis Based on LSTM Architecture with Emoticon Attention. PAKDD (Workshops) 2019: 232-242 - [c23]Changliang Li, Hailiang Wang, Saike He:
Aspect Level Sentiment Analysis with Aspect Attention. PAKDD (Workshops) 2019: 243-254 - [c22]Xinze Guo, Chang Liu, Xiaolong Li, Yiran Wang, Guoliang Li, Feng Wang, Zhitao Xu, Liuyi Yang, Li Ma, Changliang Li:
Kingsoft's Neural Machine Translation System for WMT19. WMT (2) 2019: 196-202 - 2018
- [c21]Changliang Li, Ji Qi:
Chinese Grammatical Error Diagnosis Based on Policy Gradient LSTM Model. NLP-TEA@ACL 2018: 77-82 - [c20]Changliang Li, Liang Li, Ji Qi:
A Self-Attentive Model with Gate Mechanism for Spoken Language Understanding. EMNLP 2018: 3824-3833 - [c19]Changliang Li, Cunliang Kong, Yan Zhao:
A Joint Multi-Task Learning Framework for Spoken Language Understanding. ICASSP 2018: 6054-6058 - [c18]Changliang Li, Yixin Su, Wenju Liu:
Text-To-Text Generative Adversarial Networks. IJCNN 2018: 1-7 - [c17]Xiuying Wang, Changliang Li, Bo Xu:
Hierarchical Tree Long Short-Term Memory for Sentence Representations. IJCNN 2018: 1-6 - [c16]Xiuying Wang, Changliang Li, Zhijun Zheng, Bo Xu:
Paraphrase Recognition via Combination of Neural Classifier and Keywords. IJCNN 2018: 1-8 - [c15]Changliang Li, Yongguan Wang, Changsong Li, Ji Qi, Pengyuan Liu:
Building Corpus with Emoticons for Sentiment Analysis. NLPCC (2) 2018: 309-318 - 2017
- [c14]Changliang Li, Teng Ma, Yujun Zhou, Jian Cheng, Bo Xu:
Measuring Word Semantic Similarity Based on Transferred Vectors. ICONIP (4) 2017: 326-335 - [c13]Yujun Zhou, Changliang Li, Bo Xu, Jiaming Xu, Jie Cao, Bo Xu:
Hierarchical Hybrid Attention Networks for Chinese Conversation Topic Classification. ICONIP (2) 2017: 540-550 - [c12]Changliang Li, Cunliang Kong:
ALS at IJCNLP-2017 Task 5: Answer Localization System for Multi-Choice Question Answering in Exams. IJCNLP (Shared Tasks) 2017: 199-202 - [c11]Changliang Li, Xiuying Wang:
Building Large Chinese Corpus for Spoken Dialogue Research in Specific Domains. IJCNLP(2) 2017: 320-324 - [c10]Changliang Li, Teng Ma:
Classification of Chinese Word Semantic Relations. NLPCC 2017: 465-473 - [c9]Yujun Zhou, Changliang Li, Bo Xu, Jiaming Xu, Lei Yang, Bo Xu:
Constructing a Chinese Conversation Corpus for Sentiment Analysis. NLPCC 2017: 579-590 - 2016
- [c8]Yujun Zhou, Bo Xu, Jiaming Xu, Lei Yang, Changliang Li, Bo Xu:
Compositional Recurrent Neural Networks for Chinese Short Text Classification. WI 2016: 137-144 - 2015
- [c7]Saike He, Xiaolong Zheng, Daniel Zeng, Bo Xu, Changliang Li, Guanhua Tian, Lei Wang, Hongwei Hao:
Modeling emotion entrainment of online users in emergency events. ISI 2015: 160-162 - [c6]Changliang Li, Bo Xu, Gaowei Wu, Saike He, Guanhua Tian, Yujun Zhou:
Parallel Recursive Deep Model for Sentiment Analysis. PAKDD (2) 2015: 15-26 - 2014
- [c5]Changliang Li, Bo Xu, Gaowei Wu, Tao Zhuang, Xiuying Wang, Wendong Ge:
Improving Word Embeddings via Combining with Complementary Languages. Canadian AI 2014: 313-318 - [c4]Saike He, Xiaolong Zheng, Xiuguo Bao, Hongyuan Ma, Daniel Dajun Zeng, Bo Xu, Changliang Li, Hongwei Hao:
Characterizing emotion entrainment in social media. ASONAM 2014: 642-648 - [c3]Changliang Li, Bo Xu, Gaowei Wu, Xiuying Wang, Wendong Ge, Yan Li:
Obtaining Better Word Representations via Language Transfer. CICLing (1) 2014: 128-137 - [c2]Changliang Li, Bo Xu, Gaowei Wu, Saike He, Guanhua Tian, Hongwei Hao:
Recursive Deep Learning for Sentiment Analysis over Social Data. WI-IAT (1) 2014: 180-185 - 2013
- [c1]Changliang Li, Bo Xu, Xiuying Wang, Wendong Ge, Hongwei Hao:
Simulated Spoken Dialogue System Based on IOHMM with User History. NLPCC 2013: 83-92
Informal and Other Publications
- 2021
- [i8]Chi Hu, Chenglong Wang, Xiangnan Ma, Xia Meng, Yinqiao Li, Tong Xiao, Jingbo Zhu, Changliang Li:
RankNAS: Efficient Neural Architecture Search by Pairwise Ranking. CoRR abs/2109.07383 (2021) - 2020
- [i7]Jingdong Li, Hui Zhang, Xueliang Zhang, Changliang Li:
Single Channel Speech Enhancement Using Temporal Convolutional Recurrent Neural Networks. CoRR abs/2002.00319 (2020) - [i6]Yinqiao Li, Chi Hu, Yuhao Zhang, Nuo Xu, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu, Changliang Li:
Learning Architectures from an Extended Search Space for Language Modeling. CoRR abs/2005.02593 (2020) - [i5]Bei Li, Hui Liu, Ziyang Wang, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu, Changliang Li:
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation. CoRR abs/2005.03393 (2020) - [i4]Qiang Wang, Changliang Li, Yue Zhang, Tong Xiao, Jingbo Zhu:
Layer-Wise Multi-View Learning for Neural Machine Translation. CoRR abs/2011.01482 (2020) - 2019
- [i3]Jia Li, Xiao Sun, Xing Wei, Changliang Li, Jianhua Tao:
Reinforcement Learning Based Emotional Editing Constraint Conversation Generation. CoRR abs/1904.08061 (2019) - [i2]Jia Li, Xing Wei, Guoqiang Yang, Xiao Sun, Changliang Li:
Downhole Track Detection via Multiscale Conditional Generative Adversarial Nets. CoRR abs/1904.08177 (2019) - [i1]Qiang Wang, Bei Li, Tong Xiao, Jingbo Zhu, Changliang Li, Derek F. Wong, Lidia S. Chao:
Learning Deep Transformer Models for Machine Translation. CoRR abs/1906.01787 (2019)
Coauthor Index
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