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2020 – today
- 2024
[j14]Hui Huang
, Bing Xu, Xinnian Liang, Kehai Chen, Muyun Yang, Tiejun Zhao, Conghui Zhu:
Multi-view fusion for instruction mining of large language model. Inf. Fusion 110: 102480 (2024)- [j13]Yingyao Wang, Junwei Bao, Chaoqun Duan, Youzheng Wu, Xiaodong He, Conghui Zhu, Tiejun Zhao:
An efficient confusing choices decoupling framework for multi-choice tasks over texts. Neural Comput. Appl. 36(1): 259-271 (2024) - [j12]Conghui Zhu, Fuyun Wu:
To stress or not to stress: what can Mandarin pronouns inform us of the accessibility of topic and focus? Phonetica 81(1): 81-117 (2024) - [j11]Conghui Zhu, Hongyang Zheng, Yan Yuan, Lijuan Su:
Spectrum Reconstruction of Multispectral Light Field Imager Based on Adaptive Sparse Representation. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [c36]Deqian Kong, Yan Yuan, Lijuan Su, Conghui Zhu:
Depth-Guided Full-Focus Super-Resolution Network for Light Field Images. ICIGP 2024: 260-266 - [i15]Hongyun Zhou, Xiangyu Lu, Wang Xu, Conghui Zhu, Tiejun Zhao:
LoRA-drop: Efficient LoRA Parameter Pruning based on Output Evaluation. CoRR abs/2402.07721 (2024) - [i14]Hongli Zhou, Hui Huang, Yunfei Long, Bing Xu, Conghui Zhu, Hailong Cao, Muyun Yang, Tiejun Zhao:
Mitigating the Bias of Large Language Model Evaluation. CoRR abs/2409.16788 (2024) - 2023
- [j10]Hailong Cao, Liguo Li, Conghui Zhu, Muyun Yang, Tiejun Zhao:
Dual Word Embedding for Robust Unsupervised Bilingual Lexicon Induction. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2606-2615 (2023) - [c35]Feiqing Zhuang, Conghui Zhu, Tiejun Zhao:
Unsupervised Clustering for Negative Sampling to Optimize Open-Domain Question Answering Retrieval. NLPCC (2) 2023: 732-743 - 2022
- [j9]Yongqiang Bai, Zhongjie Zhu, Conghui Zhu, Yuer Wang:
Blind Image Quality Assessment of Screen Content Images via Fisher Vector Coding. IEEE Access 10: 13174-13181 (2022) - [j8]Changzhen Ji, Yating Zhang, Xiaozhong Liu, Adam Jatowt, Sourav S. Bhowmick, Changlong Sun, Conghui Zhu, Tiejun Zhao:
Toward automatic support for leading court debates: a novel task proposal & effective approach of judicial question generation. Neural Comput. Appl. 34(19): 16367-16385 (2022) - [c34]Zhen Li, Bing Xu, Conghui Zhu, Tiejun Zhao:
CLMLF: A Contrastive Learning and Multi-Layer Fusion Method for Multimodal Sentiment Detection. NAACL-HLT (Findings) 2022: 2282-2294 - [i13]Zhen Li, Bing Xu, Conghui Zhu, Tiejun Zhao:
CLMLF: A Contrastive Learning and Multi-Layer Fusion Method for Multimodal Sentiment Detection. CoRR abs/2204.05515 (2022) - 2021
- [j7]Chaoqun Duan, Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Conghui Zhu, Tiejun Zhao:
Modeling Future Cost for Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 29: 770-781 (2021) - [j6]Guanlin Li, Lemao Liu, Conghui Zhu, Rui Wang, Tiejun Zhao, Shuming Shi:
Detecting Source Contextual Barriers for Understanding Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3158-3169 (2021) - [c33]Changzhen Ji, Yating Zhang, Xiaozhong Liu, Adam Jatowt, Changlong Sun, Conghui Zhu, Tiejun Zhao:
A Neural Conversation Generation Model via Equivalent Shared Memory Investigation. CIKM 2021: 771-781 - [i12]Changzhen Ji, Yating Zhang, Xiaozhong Liu, Adam Jatowt, Changlong Sun, Conghui Zhu, Tiejun Zhao:
A Neural Conversation Generation Model via Equivalent Shared Memory Investigation. CoRR abs/2108.09164 (2021) - 2020
- [j5]Jun Cao, Yan Yuan, Lijuan Su, Conghui Zhu, Qiangqiang Yan:
Online Correction Method for the Registration Error between TSMFTIS Detector and Interferogram. Sensors 20(4): 1195 (2020) - [c32]Guanhua Zhang, Bing Bai, Junqi Zhang, Kun Bai, Conghui Zhu, Tiejun Zhao:
Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting. ACL 2020: 4134-4145 - [c31]Chaoqun Duan, Lei Cui, Shuming Ma, Furu Wei, Conghui Zhu, Tiejun Zhao:
Multimodal Matching Transformer for Live Commenting. ECAI 2020: 1998-2005 - [c30]Changzhen Ji, Xin Zhou, Yating Zhang, Xiaozhong Liu, Changlong Sun, Conghui Zhu, Tiejun Zhao:
Cross Copy Network for Dialogue Generation. EMNLP (1) 2020: 1900-1910 - [i11]Chaoqun Duan, Lei Cui, Shuming Ma, Furu Wei, Conghui Zhu, Tiejun Zhao:
Multimodal Matching Transformer for Live Commenting. CoRR abs/2002.02649 (2020) - [i10]Chaoqun Duan, Kehai Chen, Rui Wang, Masao Utiyama, Eiichiro Sumita, Conghui Zhu, Tiejun Zhao:
Modeling Future Cost for Neural Machine Translation. CoRR abs/2002.12558 (2020) - [i9]Guanlin Li, Lemao Liu, Conghui Zhu, Tiejun Zhao, Shuming Shi:
Detecting and Understanding Generalization Barriers for Neural Machine Translation. CoRR abs/2004.02181 (2020) - [i8]Conghui Zhu, Guanlin Li, Lemao Liu, Tiejun Zhao, Shuming Shi:
Understanding Learning Dynamics for Neural Machine Translation. CoRR abs/2004.02199 (2020) - [i7]Guanhua Zhang, Bing Bai, Junqi Zhang, Kun Bai, Conghui Zhu, Tiejun Zhao:
Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting. CoRR abs/2004.14088 (2020) - [i6]Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Conghui Zhu, Tiejun Zhao:
Reliable Evaluations for Natural Language Inference based on a Unified Cross-dataset Benchmark. CoRR abs/2010.07676 (2020) - [i5]Changzhen Ji, Xin Zhou, Yating Zhang, Xiaozhong Liu, Changlong Sun, Conghui Zhu, Tiejun Zhao:
Cross Copy Network for Dialogue Generation. CoRR abs/2010.11539 (2020) - [i4]Changzhen Ji, Conghui Zhu, Tiejun Zhao:
AI-lead Court Debate Case Investigation. CoRR abs/2010.11604 (2020)
2010 – 2019
- 2019
- [c29]Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao:
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets. ACL (1) 2019: 4418-4429 - [c28]Guanlin Li, Lemao Liu, Guoping Huang, Conghui Zhu, Tiejun Zhao:
Understanding Data Augmentation in Neural Machine Translation: Two Perspectives towards Generalization. EMNLP/IJCNLP (1) 2019: 5688-5694 - [c27]Guanlin Li, Lemao Liu, Xintong Li, Conghui Zhu, Tiejun Zhao, Shuming Shi:
Understanding and Improving Hidden Representations for Neural Machine Translation. NAACL-HLT (1) 2019: 466-477 - [i3]Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao:
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets. CoRR abs/1905.06221 (2019) - [i2]Guanhua Zhang, Bing Bai, Junqi Zhang, Kun Bai, Conghui Zhu, Tiejun Zhao:
Mitigating Annotation Artifacts in Natural Language Inference Datasets to Improve Cross-dataset Generalization Ability. CoRR abs/1909.04242 (2019) - 2018
- [j4]Xiaoning Zhu, Muyun Yang, Tiejun Zhao, Conghui Zhu:
Minimum Bayes-Risk Phrase Table Pruning for Pivot-Based Machine Translation in Internet of Things. IEEE Access 6: 55754-55764 (2018) - [c26]Jingyi Ma, Muyun Yang, Haoyong Wang, Conghui Zhu, Bing Xu:
A Study on Corpus Content Display and IP Protection. ICPCSEE (2) 2018: 108-119 - [c25]Chaoqun Duan, Lei Cui, Xinchi Chen, Furu Wei, Conghui Zhu, Tiejun Zhao:
Attention-Fused Deep Matching Network for Natural Language Inference. IJCAI 2018: 4033-4040 - 2016
- [c24]Di Liu, Conghui Zhu, Tiejun Zhao, Xiaoxue Wang, Muyun Yang:
Pivot-Based Semantic Splicing for Neural Machine Translation. CWMT 2016: 14-24 - [c23]Xiaoxue Wang, Conghui Zhu, Sheng Li, Tiejun Zhao, Dequan Zheng:
Neural machine translation research based on the semantic vector of the tri-lingual parallel corpus. ICMLC 2016: 69-74 - [c22]Jianfeng Li, Conghui Zhu, Sheng Li, Tiejun Zhao, Dequan Zheng:
Exploiting Wikipedia priori knowledge for Chinese named entity recognition. ICNC-FSKD 2016: 1548-1552 - [c21]Shanshan Zhao, Yuqing Zheng, Conghui Zhu, Tiejun Zhao, Sheng Li:
Semantic computation in geography question answering. ICNC-FSKD 2016: 1572-1576 - [c20]Xiaoxue Wang, Conghui Zhu, Sheng Li, Tiejun Zhao, Dequan Zheng:
Domain adaptation for statistical machine translation. ICNC-FSKD 2016: 1652-1658 - 2015
- [c19]Xiaoning Zhu, Tiejun Zhao, Yiming Cui, Conghui Zhu:
Context-extended phrase reordering model for pivot-based statistical machine translation. IALP 2015: 29-32 - [i1]Yiming Cui, Conghui Zhu, Xiaoning Zhu, Tiejun Zhao:
Augmenting Phrase Table by Employing Lexicons for Pivot-based SMT. CoRR abs/1512.00170 (2015) - 2014
- [j3]Lemao Liu, Tiejun Zhao, Taro Watanabe, Hailong Cao, Conghui Zhu:
Discriminative Training for Log-Linear Based SMT: Global or Local Methods. ACM Trans. Asian Lang. Inf. Process. 13(4): 17:1-17:25 (2014) - [c18]Chaoqun Duan, Dequan Zheng, Conghui Zhu, Sheng Li, Hongye Tan:
Detection on Inconsistency of Verb Phrase in TreeBank. CIPS-SIGHAN 2014: 70-75 - [c17]Xiaoning Zhu, Zhongjun He, Hua Wu, Conghui Zhu, Haifeng Wang, Tiejun Zhao:
Improving Pivot-Based Statistical Machine Translation by Pivoting the Co-occurrence Count of Phrase Pairs. EMNLP 2014: 1665-1675 - 2013
- [j2]Lexiao Tian, Dequan Zheng, Conghui Zhu:
Image Classification Based on the Combination of Text Features and Visual Features. Int. J. Intell. Syst. 28(3): 242-256 (2013) - [c16]Conghui Zhu, Taro Watanabe, Eiichiro Sumita, Tiejun Zhao:
Hierarchical Phrase Table Combination for Machine Translation. ACL (1) 2013: 802-810 - [c15]Xiaoning Zhu, Zhongjun He, Hua Wu, Haifeng Wang, Conghui Zhu, Tiejun Zhao:
Improving Pivot-Based Statistical Machine Translation Using Random Walk. EMNLP 2013: 524-534 - [c14]Yiming Cui, Conghui Zhu, Xiaoning Zhu, Tiejun Zhao, Dequan Zheng:
Phrase Table Combination Deficiency Analyses in Pivot-Based SMT. NLDB 2013: 355-358 - 2012
- [c13]Chunyan Liu, Conghui Zhu, Tiejun Zhao, Dequan Zheng:
Extracting Main Content of a Topic on Online Social Network by Multi-document Summarization. CIS 2012: 52-55 - [c12]Lemao Liu, Tiejun Zhao, Taro Watanabe, Hailong Cao, Conghui Zhu:
Expected Error Minimization with Ultraconservative Update for SMT. COLING (Posters) 2012: 723-732 - [c11]Lemao Liu, Hailong Cao, Taro Watanabe, Tiejun Zhao, Mo Yu, Conghui Zhu:
Locally Training the Log-Linear Model for SMT. EMNLP-CoNLL 2012: 402-411 - [c10]Xiaoning Zhu, Yiming Cui, Conghui Zhu, Tiejun Zhao, Hailong Cao:
The HIT-LTRC machine translation system for IWSLT 2012. IWSLT 2012: 77-80 - 2011
- [j1]Jackson Phiri, Tiejun Zhao, Conghui Zhu, Jameson Mbale:
Using Artificial Intelligence Techniques to Implement a Multifactor Authentication System. Int. J. Comput. Intell. Syst. 4(4): 420-430 (2011) - [c9]Bing Xu, Tiejun Zhao, Jianwei Wu, Conghui Zhu:
Automatically Ranking Reviews Based on the Ordinal Regression Model. AICI (3) 2011: 126-134 - [c8]Xiaochun He, Conghui Zhu, Tiejun Zhao:
Research on short text classification for web forum. FSKD 2011: 1052-1056 - [c7]Zhenlong Sun, Conghui Zhu, Bing Xu, Sheng Li:
Research on machine learning method-based combination forecasting model and its application. FSKD 2011: 1226-1231 - [c6]Mo Yu, Shu Wang, Conghui Zhu, Tiejun Zhao:
Semi-supervised learning for word sense disambiguation using parallel corpora. FSKD 2011: 1490-1494 - [c5]Lexiao Tian, Dequan Zheng, Conghui Zhu:
Research on image classification based on a combination of text and visual features. FSKD 2011: 1869-1873 - [c4]PengLong Hu, Mo Yu, Jing Li, Conghui Zhu, Tiejun Zhao:
Semi-supervised Learning Framework for Cross-Lingual Projection. Web Intelligence/IAT Workshops 2011: 213-216 - 2010
- [c3]Zhangxun Liu, Conghui Zhu, Tiejun Zhao:
Chinese Named Entity Recognition with a Sequence Labeling Approach: Based on Characters, or Based on Words? ICIC (2) 2010: 634-640
2000 – 2009
- 2009
- [c2]Conghui Zhu, Tiejun Zhao, Xiwu Han:
Chinese Verb Subcategorization Acquisition from Noisy Data on Sentence Level. CSIE (4) 2009: 448-452 - 2007
- [c1]Conghui Zhu, Jie Tang, Hang Li, Hwee Tou Ng, Tiejun Zhao:
A Unified Tagging Approach to Text Normalization. ACL 2007
Coauthor Index
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