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2020 – today
- 2024
[c61]Xinjie Chen, Kai Fan, Wei Luo, Linlin Zhang, Libo Zhao, Xinggao Liu, Zhongqiang Huang:
Divergence-Guided Simultaneous Speech Translation. AAAI 2024: 17799-17807- [c60]Yuxue Hu, Junsong Li
, Mingmin Wu, Zhongqiang Huang, Gang Chen, Ying Sha:
Uncovering and Mitigating the Hidden Chasm: A Study on the Text-Text Domain Gap in Euphemism Identification. AAAI 2024: 18270-18278 - [c59]Guixin Su, Mingmin Wu, Zhongqiang Huang, Yongcheng Zhang, Tongguan Wang, Yuxue Hu, Ying Sha:
Refine, Align, and Aggregate: Multi-view Linguistic Features Enhancement for Aspect Sentiment Triplet Extraction. ACL (Findings) 2024: 3212-3228 - [c58]Biao Fu, Kai Fan, Minpeng Liao, Yidong Chen, Xiaodong Shi, Zhongqiang Huang:
wav2vec-S: Adapting Pre-trained Speech Models for Streaming. ACL (Findings) 2024: 11465-11480 - [c57]Mingmin Wu, Guixin Su, Yongcheng Zhang, Zhongqiang Huang, Ying Sha:
Refining Idioms Semantics Comprehension via Contrastive Learning and Cross-Attention. LREC/COLING 2024: 13785-13795 - [c56]Chen Wang, Minpeng Liao, Zhongqiang Huang, Junhong Wu, Chengqing Zong, Jiajun Zhang:
BLSP-Emo: Towards Empathetic Large Speech-Language Models. EMNLP 2024: 19186-19199 - [c55]Yuxue Hu, Mingmin Wu, Zhongqiang Huang, Junsong Li, Xing Ge, Ying Sha:
Euphemism Identification via Feature Fusion and Individualization. WWW 2024: 2383-2394 - [i20]Chen Wang, Minpeng Liao, Zhongqiang Huang, Jiajun Zhang:
BLSP-KD: Bootstrapping Language-Speech Pre-training via Knowledge Distillation. CoRR abs/2405.19041 (2024) - [i19]Chen Wang, Minpeng Liao, Zhongqiang Huang, Junhong Wu, Chengqing Zong, Jiajun Zhang:
BLSP-Emo: Towards Empathetic Large Speech-Language Models. CoRR abs/2406.03872 (2024) - 2023
- [c54]Shushu Wang, Jing Wu, Kai Fan, Wei Luo, Jun Xiao, Zhongqiang Huang:
Better Simultaneous Translation with Monotonic Knowledge Distillation. ACL (1) 2023: 2334-2349 - [c53]Xuming Hu, Yong Jiang, Aiwei Liu, Zhongqiang Huang, Pengjun Xie, Fei Huang, Lijie Wen, Philip S. Yu:
Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks. ACL (Findings) 2023: 9072-9087 - [c52]Ying Sha, Mingmin Wu, Zhi Zeng, Xing Ge, Zhongqiang Huang, Huan Wang:
A Prompt-Based Representation Individual Enhancement Method for Chinese Idiom Reading Comprehension. DASFAA (3) 2023: 682-698 - [c51]Chengxi Li, Kai Fan, Jiajun Bu, Boxing Chen, Zhongqiang Huang, Zhi Yu:
Translate the Beauty in Songs: Jointly Learning to Align Melody and Translate Lyrics. EMNLP (Findings) 2023: 27-39 - [c50]Libo Zhao, Kai Fan, Wei Luo, Jing Wu, Shushu Wang, Ziqian Zeng, Zhongqiang Huang:
Adaptive Policy with Wait-k Model for Simultaneous Translation. EMNLP 2023: 4816-4832 - [c49]Linlin Zhang, Kai Fan, Jiajun Bu, Zhongqiang Huang:
Training Simultaneous Speech Translation with Robust and Random Wait-k-Tokens Strategy. EMNLP 2023: 7814-7831 - [c48]Jichen Yang, Kai Fan, Minpeng Liao, Boxing Chen, Zhongqiang Huang:
Towards Zero-shot Learning for End-to-end Cross-modal Translation Models. EMNLP (Findings) 2023: 13078-13087 - [c47]Biao Fu, Minpeng Liao, Kai Fan, Zhongqiang Huang, Boxing Chen, Yidong Chen, Xiaodong Shi:
Adapting Offline Speech Translation Models for Streaming with Future-Aware Distillation and Inference. EMNLP 2023: 16600-16619 - [c46]Zhi Zeng, Mingmin Wu, Guodong Li, Xiang Li, Zhongqiang Huang, Ying Sha:
An Explainable Multi-view Semantic Fusion Model for Multimodal Fake News Detection. ICME 2023: 1235-1240 - [c45]Zhongqiang Huang, Yuxue Hu, Zhi Zeng, Xiang Li, Ying Sha:
Multimodal Stacked Cross Attention Network for Fine-Grained Fake News Detection. ICME 2023: 2837-2842 - [c44]Zhi Zeng, Mingmin Wu, Guodong Li, Xiang Li, Zhongqiang Huang, Ying Sha:
Correcting the Bias: Mitigating Multimodal Inconsistency Contrastive Learning for Multimodal Fake News Detection. ICME 2023: 2861-2866 - [i18]Biao Fu, Kai Fan, Minpeng Liao, Zhongqiang Huang, Boxing Chen, Yidong Chen, Xiaodong Shi:
Adapting Offline Speech Translation Models for Streaming with Future-Aware Distillation and Inference. CoRR abs/2303.07914 (2023) - [i17]Chengxi Li, Kai Fan, Jiajun Bu, Boxing Chen, Zhongqiang Huang, Zhi Yu:
Translate the Beauty in Songs: Jointly Learning to Align Melody and Translate Lyrics. CoRR abs/2303.15705 (2023) - [i16]Jiong Cai, Yong Jiang, Yue Zhang, Chengyue Jiang, Ke Yu, Jianhui Ji, Rong Xiao, Haihong Tang, Tao Wang, Zhongqiang Huang, Pengjun Xie, Fei Huang, Kewei Tu:
Improving Text Matching in E-Commerce Search with A Rationalizable, Intervenable and Fast Entity-Based Relevance Model. CoRR abs/2307.00370 (2023) - [i15]Chen Wang, Minpeng Liao, Zhongqiang Huang, Jinliang Lu, Junhong Wu, Yuchen Liu, Chengqing Zong, Jiajun Zhang:
BLSP: Bootstrapping Language-Speech Pre-training via Behavior Alignment of Continuation Writing. CoRR abs/2309.00916 (2023) - [i14]Libo Zhao, Kai Fan, Wei Luo, Jing Wu, Shushu Wang, Ziqian Zeng, Zhongqiang Huang:
Adaptive Policy with Wait-$k$ Model for Simultaneous Translation. CoRR abs/2310.14853 (2023) - 2022
- [c43]Chen Wang, Yuchen Liu, Boxing Chen, Jiajun Zhang, Wei Luo, Zhongqiang Huang, Chengqing Zong:
Discrete Cross-Modal Alignment Enables Zero-Shot Speech Translation. EMNLP 2022: 5291-5302 - [c42]Xinyu Wang, Min Gui, Yong Jiang, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Kewei Tu:
ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition. NAACL-HLT 2022: 3176-3189 - [i13]Chen Wang, Yuchen Liu, Boxing Chen, Jiajun Zhang, Wei Luo, Zhongqiang Huang, Chengqing Zong:
Discrete Cross-Modal Alignment Enables Zero-Shot Speech Translation. CoRR abs/2210.09556 (2022) - [i12]Xuming Hu, Yong Jiang, Aiwei Liu, Zhongqiang Huang, Pengjun Xie, Fei Huang, Lijie Wen, Philip S. Yu:
EnTDA: Entity-to-Text based Data Augmentation Approach for Named Entity Recognition Tasks. CoRR abs/2210.10343 (2022) - 2021
- [c41]Ke Wang, Guandan Chen, Zhongqiang Huang, Xiaojun Wan, Fei Huang:
Bridging the Domain Gap: Improve Informal Language Translation via Counterfactual Domain Adaptation. AAAI 2021: 13970-13978 - [c40]Xinyu Wang, Yong Jiang, Zhaohui Yan, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
Structural Knowledge Distillation: Tractably Distilling Information for Structured Predictor. ACL/IJCNLP (1) 2021: 550-564 - [c39]Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning. ACL/IJCNLP (1) 2021: 1800-1812 - [c38]Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
Automated Concatenation of Embeddings for Structured Prediction. ACL/IJCNLP (1) 2021: 2643-2660 - [c37]Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
Multi-View Cross-Lingual Structured Prediction with Minimum Supervision. ACL/IJCNLP (1) 2021: 2661-2674 - [c36]Guandan Chen, Kai Fan, Kaibo Zhang, Boxing Chen, Zhongqiang Huang:
Manifold Adversarial Augmentation for Neural Machine Translation. ACL/IJCNLP (Findings) 2021: 3184-3189 - [c35]Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
Risk Minimization for Zero-shot Sequence Labeling. ACL/IJCNLP (1) 2021: 4909-4920 - [c34]Xinyin Ma, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Weiming Lu:
MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representations. EMNLP (1) 2021: 2617-2624 - [c33]Tao Ji, Yong Jiang, Tao Wang, Zhongqiang Huang, Fei Huang, Yuanbin Wu, Xiaoling Wang:
Word Reordering for Zero-shot Cross-lingual Structured Prediction. EMNLP (1) 2021: 4109-4120 - [c32]Tao Ji, Yong Jiang, Tao Wang, Zhongqiang Huang, Fei Huang, Yuanbin Wu, Xiaoling Wang:
A Unified Encoding of Structures in Transition Systems. EMNLP (1) 2021: 4121-4133 - [c31]Zilu Guo, Zhongqiang Huang, Kenny Q. Zhu, Guandan Chen, Kaibo Zhang, Boxing Chen, Fei Huang:
Automatically Paraphrasing via Sentence Reconstruction and Round-trip Translation. IJCAI 2021: 3815-3821 - [i11]Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning. CoRR abs/2105.03654 (2021) - [i10]Xinyin Ma, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Weiming Lu:
MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representations. CoRR abs/2109.05716 (2021) - [i9]Xinyu Wang, Min Gui, Yong Jiang, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition. CoRR abs/2112.06482 (2021) - 2020
- [j6]Kai Song, Xiaoqing Zhou, Heng Yu, Zhongqiang Huang, Yue Zhang, Weihua Luo, Xiangyu Duan, Min Zhang:
Towards Better Word Alignment in Transformer. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1801-1812 (2020) - [c30]Kai Song, Kun Wang, Heng Yu, Yue Zhang, Zhongqiang Huang, Weihua Luo, Xiangyu Duan, Min Zhang:
Alignment-Enhanced Transformer for Constraining NMT with Pre-Specified Translations. AAAI 2020: 8886-8893 - [c29]Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
An Investigation of Potential Function Designs for Neural CRF. EMNLP (Findings) 2020: 2600-2609 - [c28]Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
More Embeddings, Better Sequence Labelers? EMNLP (Findings) 2020: 3992-4006 - [c27]Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network. EMNLP (1) 2020: 6019-6026 - [i8]Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
Fast and Accurate Sequence Labeling with Approximate Inference Network. CoRR abs/2009.08229 (2020) - [i7]Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
More Embeddings, Better Sequence Labelers? CoRR abs/2009.08330 (2020) - [i6]Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
Automated Concatenation of Embeddings for Structured Prediction. CoRR abs/2010.05006 (2020) - [i5]Xinyu Wang, Yong Jiang, Zhaohui Yan, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
Structural Knowledge Distillation. CoRR abs/2010.05010 (2020) - [i4]Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang, Kewei Tu:
An Investigation of Potential Function Designs for Neural CRF. CoRR abs/2011.05604 (2020)
2010 – 2019
- 2019
- [c26]Lingjun Zhao, Rabih Zbib, Zhuolin Jiang, Damianos G. Karakos, Zhongqiang Huang:
Weakly Supervised Attentional Model for Low Resource Ad-hoc Cross-lingual Information Retrieval. DeepLo@EMNLP-IJCNLP 2019: 259-264 - [c25]Rabih Zbib, Lingjun Zhao, Damianos G. Karakos, William Hartmann, Jay DeYoung, Zhongqiang Huang, Zhuolin Jiang, Noah Rivkin, Le Zhang, Richard M. Schwartz, John Makhoul:
Neural-Network Lexical Translation for Cross-lingual IR from Text and Speech. SIGIR 2019: 645-654 - 2018
- [j5]Min Jiang, Liming Qiu, Zhongqiang Huang, Gary G. Yen:
Dynamic Multi-objective Estimation of Distribution Algorithm based on Domain Adaptation and Nonparametric Estimation. Inf. Sci. 435: 203-223 (2018) - [j4]Hendra Setiawan, Zhongqiang Huang, Rabih Zbib:
BBN's low-resource machine translation for the LoReHLT 2016 evaluation. Mach. Transl. 32(1-2): 45-57 (2018) - [j3]Min Jiang, Zhongqiang Huang, Liming Qiu, Wenzhen Huang, Gary G. Yen:
Transfer Learning-Based Dynamic Multiobjective Optimization Algorithms. IEEE Trans. Evol. Comput. 22(4): 501-514 (2018) - [c24]Matthew Wiesner, Chunxi Liu, Lucas Ondel, Craig Harman, Vimal Manohar, Jan Trmal, Zhongqiang Huang, Najim Dehak, Sanjeev Khudanpur:
Automatic Speech Recognition and Topic Identification from Speech for Almost-Zero-Resource Languages. INTERSPEECH 2018: 2052-2056 - [i3]Matthew Wiesner, Chunxi Liu, Lucas Ondel, Craig Harman, Vimal Manohar, Jan Trmal, Zhongqiang Huang, Sanjeev Khudanpur, Najim Dehak:
The JHU Speech LOREHLT 2017 System: Cross-Language Transfer for Situation-Frame Detection. CoRR abs/1802.08731 (2018) - 2017
- [j2]Min Jiang, Wenzhen Huang, Zhongqiang Huang, Gary G. Yen:
Integration of Global and Local Metrics for Domain Adaptation Learning Via Dimensionality Reduction. IEEE Trans. Cybern. 47(1): 38-51 (2017) - [c23]Min Jiang, Zhongqiang Huang, Guiying Jiang, Minghui Shi, Xiangxiang Zeng:
Motion generation of multi-legged robot in complex terrains by using estimation of distribution algorithm. SSCI 2017: 1-6 - [c22]Jiangqin Xu, Zhongqiang Huang, Minghui Shi, Min Jiang:
Emotion Detection in E-learning Using Expectation-Maximization Deep Spatial-Temporal Inference Network. UKCI 2017: 245-252 - 2016
- [c21]Roger Hsiao, Ralf Meermeier, Tim Ng, Zhongqiang Huang, Maxwell Jordan, Enoch Kan, Tanel Alumäe, Jan Silovský, William Hartmann, Francis Keith, Omer Lang, Man-Hung Siu, Owen Kimball:
Sage: The New BBN Speech Processing Platform. INTERSPEECH 2016: 3022-3026 - [i2]Min Jiang, Zhongqiang Huang, Liming Qiu, Wenzhen Huang, Gary G. Yen:
Transfer Learning based Dynamic Multiobjective Optimization Algorithms. CoRR abs/1612.06093 (2016) - 2015
- [j1]Yin Wu, Min Jiang, Zhongqiang Huang, Fei Chao, Changle Zhou:
An NP-complete fragment of fibring logic. Ann. Math. Artif. Intell. 75(3-4): 391-417 (2015) - [c20]Hendra Setiawan, Zhongqiang Huang, Jacob Devlin, Thomas Lamar, Rabih Zbib, Richard M. Schwartz, John Makhoul:
Statistical Machine Translation Features with Multitask Tensor Networks. ACL (1) 2015: 31-41 - [i1]Hendra Setiawan, Zhongqiang Huang, Jacob Devlin, Thomas Lamar, Rabih Zbib, Richard M. Schwartz, John Makhoul:
Statistical Machine Translation Features with Multitask Tensor Networks. CoRR abs/1506.00698 (2015) - 2014
- [c19]Jacob Devlin, Rabih Zbib, Zhongqiang Huang, Thomas Lamar, Richard M. Schwartz, John Makhoul:
Fast and Robust Neural Network Joint Models for Statistical Machine Translation. ACL (1) 2014: 1370-1380 - [c18]Min Jiang, Yulong Ding, Ben Goertzel, Zhongqiang Huang, Changle Zhou, Fei Chao:
Improving machine vision via incorporating expectation-maximization into Deep Spatio-Temporal learning. IJCNN 2014: 1804-1811 - 2013
- [c17]Zhongqiang Huang, Jacob Devlin, Rabih Zbib:
Factored Soft Source Syntactic Constraints for Hierarchical Machine Translation. EMNLP 2013: 556-566 - [c16]Zhongqiang Huang, Jacob Devlin, Spyros Matsoukas:
BBN's Systems for the Chinese-English Sub-task of the NTCIR-10 PatentMT Evaluation. NTCIR 2013 - 2011
- [b1]Zhongqiang Huang:
Modeling Dependencies in Natural Languages with Latent Variables. University of Maryland, College Park, MD, USA, 2011 - [c15]Zhongqiang Huang, Mary P. Harper:
Feature-Rich Log-Linear Lexical Model for Latent Variable PCFG Grammars. IJCNLP 2011: 219-227 - 2010
- [c14]Zhongqiang Huang, Mary P. Harper, Slav Petrov:
Self-Training with Products of Latent Variable Grammars. EMNLP 2010: 12-22 - [c13]Zhongqiang Huang, Martin Cmejrek, Bowen Zhou:
Soft Syntactic Constraints for Hierarchical Phrase-Based Translation Using Latent Syntactic Distributions. EMNLP 2010: 138-147 - [c12]Vladimir Eidelman, Zhongqiang Huang, Mary P. Harper:
Lessons Learned in Part-of-Speech Tagging of Conversational Speech. EMNLP 2010: 821-831 - [c11]Zhongqiang Huang, Mary P. Harper:
Appropriately Handled Prosodic Breaks Help PCFG Parsing. HLT-NAACL 2010: 37-45
2000 – 2009
- 2009
- [c10]Zhongqiang Huang, Mary P. Harper:
Self-Training PCFG Grammars with Latent Annotations Across Languages. EMNLP 2009: 832-841 - [c9]Zhongqiang Huang, Vladimir Eidelman, Mary P. Harper:
Improving A Simple Bigram HMM Part-of-Speech Tagger by Latent Annotation and Self-Training. HLT-NAACL (Short Papers) 2009: 213-216 - 2007
- [c8]Zhongqiang Huang, Mary P. Harper, Wen Wang:
Mandarin Part-of-Speech Tagging and Discriminative Reranking. EMNLP-CoNLL 2007: 1093-1102 - [c7]Wen Wang, Zhongqiang Huang, Mary P. Harper:
Semi-Supervised Learning for Part-of-Speech Tagging of Mandarin Transcribed Speech. ICASSP (4) 2007: 137-140 - 2006
- [c6]Lei Chen, Mary P. Harper, Zhongqiang Huang:
Using maximum entropy (ME) model to incorporate gesture cues for SU detection. ICMI 2006: 185-192 - [c5]Zhongqiang Huang, Lei Chen, Mary P. Harper:
An Open Source Prosodic Feature Extraction Tool. LREC 2006: 2116-2121 - [c4]Lei Chen, Mary P. Harper, Amy Franklin, R. Travis Rose, Irene Kimbara, Zhongqiang Huang, Francis K. H. Quek:
A Multimodal Analysis of Floor Control in Meetings. MLMI 2006: 36-49 - [c3]Dustin Hillard, Zhongqiang Huang, Heng Ji, Ralph Grishman, Dilek Hakkani-Tür, Mary P. Harper, Mari Ostendorf, Wen Wang:
Impact of Automatic Comma Prediction on POS/Name Tagging of speech. SLT 2006: 58-61 - 2005
- [c2]Lei Chen, R. Rose, Ying Qiao, Irene Kimbara, Fey Parrill, Haleema Welji, Tony X. Han, Jilin Tu, Zhongqiang Huang, Mary P. Harper, Francis K. H. Quek, Yingen Xiong, David McNeill, Ronald Tuttle, Thomas S. Huang:
VACE Multimodal Meeting Corpus. MLMI 2005: 40-51 - [c1]Zhongqiang Huang, Mary P. Harper:
Speech Activity Detection on Multichannels of Meeting Recordings. MLMI 2005: 415-427
Coauthor Index
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