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Liang Huang 0001
Person information
- affiliation: Baidu Research USA
- affiliation: Oregon State University, Corvallis, OR, USA
- affiliation (former): City University of New York, Queens College & Graduate Center, New York City, NY, USA
- affiliation (former): University of Southern California
- affiliation (former): Google Research
- affiliation (PhD): University of Pennsylvania
- affiliation (BS): Shanghai Jiao Tong University
Other persons with the same name
- Liang Huang — disambiguation page
- Liang Huang 0002 — University of Auckland, Department of Sport and Exercise Science, New Zealand (and 1 more)
- Liang Huang 0003 — Kunming University of Science and Technology, Faculty of Land Resource Engineering, Kunming, China
- Liang Huang 0004 — Tsinghua University, Department of Precision Instrument, Beijing, China
- Liang Huang 0005 — Lanzhou University, Institute of Computational Physics and Complex Systems, China (and 1 more)
- Liang Huang 0006 — Zhejiang University of Technology, College of Information Engineering, Hangzhou, China (and 1 more)
- Liang Huang 0007 — Beijing Jiaotong University, School of Electronic and Information Engineering, China
- Liang Huang 0008 — Wuhan University of Technology, School of Navigation, National Engineering Research Center for Water Transport Safety, Wuhan, China
- Liang Huang 0009 — University of Auckland, Department of Electrical and Computer Engineering, Auckland, New Zealand
- Liang Huang 0010 — Xi'an Technological University, School of Mechatronic Engineering, Xi'an, China
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2020 – today
- 2024
- [j10]Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong:
GIaNt: Protein-Ligand Binding Affinity Prediction via Geometry-Aware Interactive Graph Neural Network. IEEE Trans. Knowl. Data Eng. 36(5): 1991-2008 (2024) - [c83]Tianshuo Zhou, Wei Yu Tang, David H. Mathews, Liang Huang:
Undesignable RNA Structure Identification via Rival Structure Generation and Structure Decomposition. RECOMB 2024: 270-287 - [i50]Ning Dai, Wei Yu Tang, Tianshuo Zhou, David H. Mathews, Liang Huang:
Messenger and Non-Coding RNA Design via Expected Partition Function and Continuous Optimization. CoRR abs/2401.00037 (2024) - [i49]Tianshuo Zhou, Wei Yu Tang, David H. Mathews, Liang Huang:
Scalable Identification of Minimum Undesignable RNA Motifs on Loop-Pair Graphs. CoRR abs/2402.17206 (2024) - [i48]Ning Dai, Zheng Wu, Renjie Zheng, Ziyun Wei, Wenlei Shi, Xing Jin, Guanlin Liu, Chen Dun, Liang Huang, Lin Yan:
Process Supervision-Guided Policy Optimization for Code Generation. CoRR abs/2410.17621 (2024) - 2023
- [j9]Tianshuo Zhou, Ning Dai, Sizhen Li, Max Ward, David H. Mathews, Liang Huang:
RNA design via structure-aware multifrontier ensemble optimization. Bioinform. 39(Supplement-1): 563-571 (2023) - [j8]He Zhang, Liang Zhang, Ang Lin, Congcong Xu, Ziyu Li, Kaibo Liu, Boxiang Liu, Xiaopin Ma, Fanfan Zhao, Huiling Jiang, Chunxiu Chen, Haifa Shen, Hangwen Li, David H. Mathews, Yujian Zhang, Liang Huang:
Algorithm for optimized mRNA design improves stability and immunogenicity. Nat. 621(7978): 396-403 (2023) - [i47]Sizhen Li, Ning Dai, He Zhang, Apoorv Malik, David H. Mathews, Liang Huang:
LinearSankoff: Linear-time Simultaneous Folding and Alignment of RNA Homologs. CoRR abs/2307.09580 (2023) - 2022
- [c82]He Bai, Renjie Zheng, Junkun Chen, Mingbo Ma, Xintong Li, Liang Huang:
A3T: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and Editing. ICML 2022: 1399-1411 - [i46]He Bai, Renjie Zheng, Junkun Chen, Xintong Li, Mingbo Ma, Liang Huang:
A3T: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and Editing. CoRR abs/2203.09690 (2022) - [i45]Guangxu Xun, Mingbo Ma, Yuchen Bian, Xingyu Cai, Jiaji Huang, Renjie Zheng, Junkun Chen, Jiahong Yuan, Kenneth Church, Liang Huang:
Data-Driven Adaptive Simultaneous Machine Translation. CoRR abs/2204.12672 (2022) - [i44]Hui Zhang, Tian Yuan, Junkun Chen, Xintong Li, Renjie Zheng, Yuxin Huang, Xiaojie Chen, Enlei Gong, Zeyu Chen, Xiaoguang Hu, Dianhai Yu, Yanjun Ma, Liang Huang:
PaddleSpeech: An Easy-to-Use All-in-One Speech Toolkit. CoRR abs/2205.12007 (2022) - [i43]Liang Zhang, Sizhen Li, He Zhang, David H. Mathews, Liang Huang:
LinearAlifold: Linear-Time Consensus Structure Prediction for RNA Alignments. CoRR abs/2206.14794 (2022) - [i42]He Zhang, Sizhen Li, Liang Zhang, David H. Mathews, Liang Huang:
LinearCoFold and LinearCoPartition: Linear-Time Algorithms for Secondary Structure Prediction of Interacting RNA molecules. CoRR abs/2210.14982 (2022) - [i41]Xiaoran Fan, Chao Pang, Tian Yuan, He Bai, Renjie Zheng, Pengfei Zhu, Shuohuan Wang, Junkun Chen, Zeyu Chen, Liang Huang, Yu Sun, Hua Wu:
ERNIE-SAT: Speech and Text Joint Pretraining for Cross-Lingual Multi-Speaker Text-to-Speech. CoRR abs/2211.03545 (2022) - 2021
- [j7]Sizhen Li, He Zhang, Liang Zhang, Kaibo Liu, Boxiang Liu, David H. Mathews, Liang Huang:
LinearTurboFold: Linear-time global prediction of conserved structures for RNA homologs with applications to SARS-CoV-2. Proc. Natl. Acad. Sci. USA 118(52): e2116269118 (2021) - [c81]Junkun Chen, Mingbo Ma, Renjie Zheng, Liang Huang:
Direct Simultaneous Speech-to-Text Translation Assisted by Synchronized Streaming ASR. ACL/IJCNLP (Findings) 2021: 4618-4624 - [c80]Jiahong Yuan, Xingyu Cai, Dongji Gao, Renjie Zheng, Liang Huang, Kenneth Church:
Decoupling Recognition and Transcription in Mandarin ASR. ASRU 2021: 1019-1025 - [c79]Junkun Chen, Renjie Zheng, Atsuhito Kita, Mingbo Ma, Liang Huang:
Improving Simultaneous Translation by Incorporating Pseudo-References with Fewer Reorderings. EMNLP (1) 2021: 5857-5864 - [c78]Renjie Zheng, Junkun Chen, Mingbo Ma, Liang Huang:
Fused Acoustic and Text Encoding for Multimodal Bilingual Pretraining and Speech Translation. ICML 2021: 12736-12746 - [c77]Junkun Chen, Mingbo Ma, Renjie Zheng, Liang Huang:
SpecRec: An Alternative Solution for Improving End-to-End Speech-to-Text Translation via Spectrogram Reconstruction. Interspeech 2021: 2232-2236 - [c76]Xingyu Cai, Jiahong Yuan, Renjie Zheng, Liang Huang, Kenneth Church:
Speech Emotion Recognition with Multi-Task Learning. Interspeech 2021: 4508-4512 - [c75]Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong:
Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity. KDD 2021: 975-985 - [i40]Renjie Zheng, Junkun Chen, Mingbo Ma, Liang Huang:
Fused Acoustic and Text Encoding for Multimodal Bilingual Pretraining and Speech Translation. CoRR abs/2102.05766 (2021) - [i39]Junkun Chen, Mingbo Ma, Renjie Zheng, Liang Huang:
Direct Simultaneous Speech-to-Text Translation Assisted by Synchronized Streaming ASR. CoRR abs/2106.06636 (2021) - [i38]Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong:
Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity. CoRR abs/2107.10670 (2021) - [i37]Jiahong Yuan, Xingyu Cai, Dongji Gao, Renjie Zheng, Liang Huang, Kenneth Church:
Decoupling recognition and transcription in Mandarin ASR. CoRR abs/2108.01129 (2021) - [i36]Jiahong Yuan, Xingyu Cai, Renjie Zheng, Liang Huang, Kenneth Church:
The Role of Phonetic Units in Speech Emotion Recognition. CoRR abs/2108.01132 (2021) - 2020
- [j6]He Zhang, Liang Zhang, David H. Mathews, Liang Huang:
LinearPartition: linear-time approximation of RNA folding partition function and base-pairing probabilities. Bioinform. 36(Supplement-1): i258-i267 (2020) - [j5]Ben McCamish, Vahid Ghadakchi, Arash Termehchy, Behrouz Touri, Eduardo Cotilla Sanchez, Liang Huang, Soravit Changpinyo:
A Game-theoretic Approach to Data Interaction. ACM Trans. Database Syst. 45(1): 1:1-1:44 (2020) - [c74]Renjie Zheng, Mingbo Ma, Baigong Zheng, Kaibo Liu, Liang Huang:
Opportunistic Decoding with Timely Correction for Simultaneous Translation. ACL 2020: 437-442 - [c73]Baigong Zheng, Kaibo Liu, Renjie Zheng, Mingbo Ma, Hairong Liu, Liang Huang:
Simultaneous Translation Policies: From Fixed to Adaptive. ACL 2020: 2847-2853 - [c72]Liang Huang, Colin Cherry, Mingbo Ma, Naveen Arivazhagan, Zhongjun He:
Simultaneous Translation. EMNLP (Tutorial Abstracts) 2020: 34-36 - [c71]Xiangci Li, Hairong Liu, Liang Huang:
Context-aware Stand-alone Neural Spelling Correction. EMNLP (Findings) 2020: 407-414 - [c70]Mingbo Ma, Baigong Zheng, Kaibo Liu, Renjie Zheng, Hairong Liu, Kainan Peng, Kenneth Church, Liang Huang:
Incremental Text-to-Speech Synthesis with Prefix-to-Prefix Framework. EMNLP (Findings) 2020: 3886-3896 - [c69]Renjie Zheng, Mingbo Ma, Baigong Zheng, Kaibo Liu, Jiahong Yuan, Kenneth Church, Liang Huang:
Fluent and Low-latency Simultaneous Speech-to-Speech Translation with Self-adaptive Training. EMNLP (Findings) 2020: 3928-3937 - [i35]Liang Huang, He Zhang, Dezhong Deng, Kai Zhao, Kaibo Liu, David A. Hendrix, David H. Mathews:
LinearFold: linear-time approximate RNA folding by 5'-to-3' dynamic programming and beam search. CoRR abs/2001.04020 (2020) - [i34]Baigong Zheng, Kaibo Liu, Renjie Zheng, Mingbo Ma, Hairong Liu, Liang Huang:
Simultaneous Translation Policies: From Fixed to Adaptive. CoRR abs/2004.13169 (2020) - [i33]Renjie Zheng, Mingbo Ma, Baigong Zheng, Kaibo Liu, Liang Huang:
Opportunistic Decoding with Timely Correction for Simultaneous Translation. CoRR abs/2005.00675 (2020) - [i32]Renjie Zheng, Mingbo Ma, Baigong Zheng, Kaibo Liu, Jiahong Yuan, Kenneth Church, Liang Huang:
Fluent and Low-latency Simultaneous Speech-to-Speech Translation with Self-adaptive Training. CoRR abs/2010.10048 (2020) - [i31]Junkun Chen, Renjie Zheng, Atsuhito Kita, Mingbo Ma, Liang Huang:
Improving Simultaneous Translation with Pseudo References. CoRR abs/2010.11247 (2020) - [i30]Junkun Chen, Mingbo Ma, Renjie Zheng, Liang Huang:
MAM: Masked Acoustic Modeling for End-to-End Speech-to-Text Translation. CoRR abs/2010.11445 (2020) - [i29]Xiangci Li, Hairong Liu, Liang Huang:
Context-aware Stand-alone Neural Spelling Correction. CoRR abs/2011.06642 (2020) - [i28]Jingbo Zhou, Shuangli Li, Liang Huang, Haoyi Xiong, Fan Wang, Tong Xu, Hui Xiong, Dejing Dou:
Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction. CoRR abs/2012.09624 (2020)
2010 – 2019
- 2019
- [j4]Liang Huang, He Zhang, Dezhong Deng, Kai Zhao, Kaibo Liu, David A. Hendrix, David H. Mathews:
LinearFold: linear-time approximate RNA folding by 5'-to-3' dynamic programming and beam search. Bioinform. 35(14): i295-i304 (2019) - [j3]Ben McCamish, Vahid Ghadakchi, Arash Termehchy, Liang Huang, Behrouz Touri:
How Do Humans and Data Systems Establish a CommonQuery Language? SIGMOD Rec. 48(1): 51-58 (2019) - [c68]Mingbo Ma, Liang Huang, Hao Xiong, Renjie Zheng, Kaibo Liu, Baigong Zheng, Chuanqiang Zhang, Zhongjun He, Hairong Liu, Xing Li, Hua Wu, Haifeng Wang:
STACL: Simultaneous Translation with Implicit Anticipation and Controllable Latency using Prefix-to-Prefix Framework. ACL (1) 2019: 3025-3036 - [c67]Hairong Liu, Mingbo Ma, Liang Huang, Hao Xiong, Zhongjun He:
Robust Neural Machine Translation with Joint Textual and Phonetic Embedding. ACL (1) 2019: 3044-3049 - [c66]Baigong Zheng, Renjie Zheng, Mingbo Ma, Liang Huang:
Simultaneous Translation with Flexible Policy via Restricted Imitation Learning. ACL (1) 2019: 5816-5822 - [c65]Baigong Zheng, Renjie Zheng, Mingbo Ma, Liang Huang:
Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation. EMNLP/IJCNLP (1) 2019: 1349-1354 - [c64]Renjie Zheng, Mingbo Ma, Baigong Zheng, Liang Huang:
Speculative Beam Search for Simultaneous Translation. EMNLP/IJCNLP (1) 2019: 1395-1402 - [c63]Mingbo Ma, Renjie Zheng, Liang Huang:
Learning to Stop in Structured Prediction for Neural Machine Translation. NAACL-HLT (1) 2019: 1884-1889 - [c62]Renjie Zheng, Hairong Liu, Mingbo Ma, Baigong Zheng, Liang Huang:
Robust Machine Translation with Domain Sensitive Pseudo-Sources: Baidu-OSU WMT19 MT Robustness Shared Task System Report. WMT (2) 2019: 559-564 - [i27]Mingbo Ma, Renjie Zheng, Liang Huang:
Learning to Stop in Structured Prediction for Neural Machine Translation. CoRR abs/1904.01032 (2019) - [i26]Baigong Zheng, Renjie Zheng, Mingbo Ma, Liang Huang:
Simultaneous Translation with Flexible Policy via Restricted Imitation Learning. CoRR abs/1906.01135 (2019) - [i25]Renjie Zheng, Hairong Liu, Mingbo Ma, Baigong Zheng, Liang Huang:
Robust Machine Translation with Domain Sensitive Pseudo-Sources: Baidu-OSU WMT19 MT Robustness Shared Task System Report. CoRR abs/1906.08393 (2019) - [i24]Baigong Zheng, Renjie Zheng, Mingbo Ma, Liang Huang:
Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation. CoRR abs/1909.01559 (2019) - [i23]Renjie Zheng, Mingbo Ma, Baigong Zheng, Liang Huang:
Speculative Beam Search for Simultaneous Translation. CoRR abs/1909.05421 (2019) - [i22]Hairong Liu, Mingbo Ma, Liang Huang:
Machine Translation in Pronunciation Space. CoRR abs/1911.00932 (2019) - [i21]Mingbo Ma, Baigong Zheng, Kaibo Liu, Renjie Zheng, Hairong Liu, Kainan Peng, Kenneth Church, Liang Huang:
Incremental Text-to-Speech Synthesis with Prefix-to-Prefix Framework. CoRR abs/1911.02750 (2019) - [i20]He Zhang, Liang Zhang, David H. Mathews, Liang Huang:
LinearPartition: Linear-Time Approximation of RNA Folding Partition Function and Base Pairing Probabilities. CoRR abs/1912.13190 (2019) - 2018
- [c61]Juneki Hong, Liang Huang:
Linear-time Constituency Parsing with RNNs and Dynamic Programming. ACL (2) 2018: 477-483 - [c60]Jiaji Huang, Yi Li, Wei Ping, Liang Huang:
Large Margin Neural Language Model. EMNLP 2018: 1183-1191 - [c59]Yilin Yang, Liang Huang, Mingbo Ma:
Breaking the Beam Search Curse: A Study of (Re-)Scoring Methods and Stopping Criteria for Neural Machine Translation. EMNLP 2018: 3054-3059 - [c58]Renjie Zheng, Mingbo Ma, Liang Huang:
Multi-Reference Training with Pseudo-References for Neural Translation and Text Generation. EMNLP 2018: 3188-3197 - [c57]Wen Zhang, Liang Huang, Yang Feng, Lei Shen, Qun Liu:
Speeding Up Neural Machine Translation Decoding by Cube Pruning. EMNLP 2018: 4284-4294 - [c56]Ben McCamish, Vahid Ghadakchi, Arash Termehchy, Behrouz Touri, Liang Huang:
The Data Interaction Game. SIGMOD Conference 2018: 83-98 - [c55]Renjie Zheng, Yilin Yang, Mingbo Ma, Liang Huang:
Ensemble Sequence Level Training for Multimodal MT: OSU-Baidu WMT18 Multimodal Machine Translation System Report. WMT (shared task) 2018: 632-636 - [i19]Reza Ghaeini, Xiaoli Z. Fern, Liang Huang, Prasad Tadepalli:
Event Nugget Detection with Forward-Backward Recurrent Neural Networks. CoRR abs/1802.05672 (2018) - [i18]Jiaji Huang, Yi Li, Wei Ping, Liang Huang:
Large Margin Neural Language Model. CoRR abs/1808.08987 (2018) - [i17]Renjie Zheng, Mingbo Ma, Liang Huang:
Multi-Reference Training with Pseudo-References for Neural Translation and Text Generation. CoRR abs/1808.09564 (2018) - [i16]Yilin Yang, Liang Huang, Mingbo Ma:
Breaking the Beam Search Curse: A Study of (Re-)Scoring Methods and Stopping Criteria for Neural Machine Translation. CoRR abs/1808.09582 (2018) - [i15]Renjie Zheng, Yilin Yang, Mingbo Ma, Liang Huang:
Ensemble Sequence Level Training for Multimodal MT: OSU-Baidu WMT18 Multimodal Machine Translation System Report. CoRR abs/1808.10592 (2018) - [i14]Liang Huang, Kai Zhao, Mingbo Ma:
When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size). CoRR abs/1809.00069 (2018) - [i13]Wen Zhang, Liang Huang, Yang Feng, Lei Shen, Qun Liu:
Speeding Up Neural Machine Translation Decoding by Cube Pruning. CoRR abs/1809.02992 (2018) - [i12]Hairong Liu, Mingbo Ma, Liang Huang, Hao Xiong, Zhongjun He:
Robust Neural Machine Translation with Joint Textual and Phonetic Embedding. CoRR abs/1810.06729 (2018) - [i11]Mingbo Ma, Liang Huang, Hao Xiong, Kaibo Liu, Chuanqiang Zhang, Zhongjun He, Hairong Liu, Xing Li, Haifeng Wang:
STACL: Simultaneous Translation with Integrated Anticipation and Controllable Latency. CoRR abs/1810.08398 (2018) - 2017
- [c54]Mingbo Ma, Liang Huang, Bing Xiang, Bowen Zhou:
Group Sparse CNNs for Question Classification with Answer Sets. ACL (2) 2017: 335-340 - [c53]Tianze Shi, Liang Huang, Lillian Lee:
Fast(er) Exact Decoding and Global Training for Transition-Based Dependency Parsing via a Minimal Feature Set. EMNLP 2017: 12-23 - [c52]Kai Zhao, Liang Huang:
Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank. EMNLP 2017: 2117-2123 - [c51]Liang Huang, Kai Zhao, Mingbo Ma:
When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size). EMNLP 2017: 2134-2139 - [c50]Xue Qin, Smitha Holla, Liang Huang, Lymari Montijo, Dylan Aguirre, Xiaoyin Wang:
How Does Machine Translated User Interface Affect User Experience? A Study on Android Apps. ESEM 2017: 430-435 - [c49]Xiao Wu, Xiaoyan Xu, YaXin Zhang, Chen Xue, Xin Jin, Liang Zhang, Tao Qin, Liang Huang, Lidong Wang:
Discover partially copied web videos. ICSRS 2017: 512-515 - [c48]Mingbo Ma, Kai Zhao, Liang Huang, Bing Xiang, Bowen Zhou:
Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks. INTERSPEECH 2017: 3334-3338 - [c47]Mingbo Ma, Dapeng Li, Kai Zhao, Liang Huang:
OSU Multimodal Machine Translation System Report. WMT 2017: 465-469 - [i10]Kai Zhao, Liang Huang, Mingbo Ma:
Textual Entailment with Structured Attentions and Composition. CoRR abs/1701.01126 (2017) - [i9]Kai Zhao, Liang Huang:
Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank. CoRR abs/1708.08484 (2017) - [i8]Tianze Shi, Liang Huang, Lillian Lee:
Fast(er) Exact Decoding and Global Training for Transition-Based Dependency Parsing via a Minimal Feature Set. CoRR abs/1708.09403 (2017) - [i7]Mingbo Ma, Kai Zhao, Liang Huang, Bing Xiang, Bowen Zhou:
Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks. CoRR abs/1709.10191 (2017) - [i6]Mingbo Ma, Liang Huang, Bing Xiang, Bowen Zhou:
Group Sparse CNNs for Question Classification with Answer Sets. CoRR abs/1710.02717 (2017) - [i5]Mingbo Ma, Dapeng Li, Kai Zhao, Liang Huang:
OSU Multimodal Machine Translation System Report. CoRR abs/1710.02718 (2017) - 2016
- [c46]James Cross, Liang Huang:
Incremental Parsing with Minimal Features Using Bi-Directional LSTM. ACL (2) 2016 - [c45]Reza Ghaeini, Xiaoli Z. Fern, Liang Huang, Prasad Tadepalli:
Event Nugget Detection with Forward-Backward Recurrent Neural Networks. ACL (2) 2016 - [c44]Kai Zhao, Liang Huang, Mingbo Ma:
Textual Entailment with Structured Attentions and Composition. COLING 2016: 2248-2258 - [c43]James Cross, Liang Huang:
Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles. EMNLP 2016: 1-11 - [i4]James Cross, Liang Huang:
Incremental Parsing with Minimal Features Using Bi-Directional LSTM. CoRR abs/1606.06406 (2016) - [i3]James Cross, Liang Huang:
Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles. CoRR abs/1612.06475 (2016) - 2015
- [j2]Wenbin Jiang, Yajuan Lü, Liang Huang, Qun Liu:
Automatic Adaptation of Annotations. Comput. Linguistics 41(1): 119-147 (2015) - [c42]Liang Huang, Kai Zhao:
Scalable Large-Margin Structured Learning: Theory and Algorithms. ACL (Tutorial Abstracts) 2015: 19-20 - [c41]Mingbo Ma, Liang Huang, Bowen Zhou, Bing Xiang:
Dependency-based Convolutional Neural Networks for Sentence Embedding. ACL (2) 2015: 174-179 - [c40]Feifei Zhai, Liang Huang, Kai Zhao:
Search-Aware Tuning for Hierarchical Phrase-based Decoding. EMNLP 2015: 1282-1291 - [c39]Feifei Zhai, Liang Huang:
A pilot study towards end-to-end MT training. MTSummit 2015 - [c38]Iftekhar Naim, Young Chol Song, Qiguang Liu, Liang Huang, Henry A. Kautz, Jiebo Luo, Daniel Gildea:
Discriminative Unsupervised Alignment of Natural Language Instructions with Corresponding Video Segments. HLT-NAACL 2015: 164-174 - [c37]Haitao Mi, Liang Huang:
Shift-Reduce Constituency Parsing with Dynamic Programming and POS Tag Lattice. HLT-NAACL 2015: 1030-1035 - [c36]Kai Zhao, Liang Huang:
Type-Driven Incremental Semantic Parsing with Polymorphism. HLT-NAACL 2015: 1416-1421 - [i2]Mingbo Ma, Liang Huang, Bowen Zhou, Bing Xiang:
Tree-based Convolution for Sentence Modeling. CoRR abs/1507.01839 (2015) - 2014
- [c35]Liang Huang, Kai Zhao, Lemao Liu:
Scalable Large-Margin Structured Learning: Theory and Algorithms. ACL (Tutorial Abstracts) 2014: 4-5 - [c34]Kai Zhao, Liang Huang, Haitao Mi, Abraham Ittycheriah:
Hierarchical MT Training using Max-Violation Perceptron. ACL (2) 2014: 785-790 - [c33]Heng Yu, Haitao Mi, Liang Huang, Qun Liu:
A Structured Language Model for Incremental Tree-to-String Translation. COLING 2014: 1133-1143 - [c32]Lemao Liu, Liang Huang:
Search-Aware Tuning for Machine Translation. EMNLP 2014: 1942-1952 - [i1]Kai Zhao, Liang Huang:
Type-Driven Incremental Semantic Parsing with Polymorphism. CoRR abs/1411.5379 (2014) - 2013
- [c31]Qi Li, Heng Ji, Liang Huang:
Joint Event Extraction via Structured Prediction with Global Features. ACL (1) 2013: 73-82 - [c30]Yoav Goldberg, Kai Zhao, Liang Huang:
Efficient Implementation of Beam-Search Incremental Parsers. ACL (2) 2013: 628-633 - [c29]Kai Zhao, James Cross, Liang Huang:
Optimal Incremental Parsing via Best-First Dynamic Programming. EMNLP 2013: 758-768 - [c28]Hao Zhang, Liang Huang, Kai Zhao, Ryan T. McDonald:
Online Learning for Inexact Hypergraph Search. EMNLP 2013: 908-913 - [c27]Heng Yu, Liang Huang, Haitao Mi, Kai Zhao:
Max-Violation Perceptron and Forced Decoding for Scalable MT Training. EMNLP 2013: 1112-1123 - [c26]Kai Zhao, Liang Huang:
Minibatch and Parallelization for Online Large Margin Structured Learning. HLT-NAACL 2013: 370-379 - [e1]Harry Bunt, Khalil Sima'an, Liang Huang:
Proceedings of The 13th International Conference on Parsing Technologies, IWPT 2013, Nara, Japan, November 27-29, 2013. Assocation for Computational Linguistics 2013 [contents] - 2012
- [c25]Ashish Vaswani, Liang Huang, David Chiang:
Smaller Alignment Models for Better Translations: Unsupervised Word Alignment with the l0-norm. ACL (1) 2012: 311-319 - [c24]Liang Huang, Suphan Fayong, Yang Guo:
Structured Perceptron with Inexact Search. HLT-NAACL 2012: 142-151 - 2011
- [c23]Ashish Vaswani, Haitao Mi, Liang Huang, David Chiang:
Rule Markov Models for Fast Tree-to-String Translation. ACL 2011: 856-864 - 2010
- [c22]Liang Huang, Kenji Sagae:
Dynamic Programming for Linear-Time Incremental Parsing. ACL 2010: 1077-1086 - [c21]Haitao Mi, Liang Huang, Qun Liu:
Machine Translation with Lattices and Forests. COLING (Posters) 2010: 837-845 - [c20]Liang Huang, Haitao Mi:
Efficient Incremental Decoding for Tree-to-String Translation. EMNLP 2010: 273-283
2000 – 2009
- 2009
- [j1]Liang Huang, Hao Zhang, Daniel Gildea, Kevin Knight:
Binarization of Synchronous Context-Free Grammars. Comput. Linguistics 35(4): 559-595 (2009) - [c19]Wenbin Jiang, Liang Huang, Qun Liu:
Automatic Adaptation of Annotation Standards: Chinese Word Segmentation and POS Tagging - A Case Study. ACL/IJCNLP 2009: 522-530 - [c18]Liang Huang, Wenbin Jiang, Qun Liu:
Bilingually-Constrained (Monolingual) Shift-Reduce Parsing. EMNLP 2009: 1222-1231 - [c17]Liang Huang:
Dynamic Programming-based Search Algorithms in NLP. HLT-NAACL (Tutorial Abstracts) 2009: 5-6 - 2008
- [c16]Haitao Mi, Liang Huang, Qun Liu:
Forest-Based Translation. ACL 2008: 192-199 - [c15]Liang Huang:
Forest Reranking: Discriminative Parsing with Non-Local Features. ACL 2008: 586-594 - [c14]Wenbin Jiang, Liang Huang, Qun Liu, Yajuan Lü:
A Cascaded Linear Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging. ACL 2008: 897-904 - [c13]Liang Huang:
Advanced Dynamic Programming in Semiring and Hypergraph Frameworks. COLING (Tutorial) 2008: 1-18 - [c12]Haitao Mi, Liang Huang:
Forest-based Translation Rule Extraction. EMNLP 2008: 206-214 - 2007
- [c11]Liang Huang, David Chiang:
Forest Rescoring: Faster Decoding with Integrated Language Models. ACL 2007 - [c10]Liang Huang:
Binarization, Synchronous Binarization, and Target-side Binarization. SSST@HLT-NAACL 2007: 33-40 - 2006
- [c9]Liang Huang, Kevin Knight, Aravind Joshi:
Statistical Syntax-Directed Translation with Extended Domain of Locality. AMTA 2006: 66-73 - [c8]Liang Huang:
Efficient Algorithms for Richer Formalisms: Parsing and Machine Translation. HLT-NAACL 2006 - [c7]Hao Zhang, Liang Huang, Daniel Gildea, Kevin Knight:
Synchronous Binarization for Machine Translation. HLT-NAACL 2006 - 2005
- [c6]Liang Huang, David Chiang:
Better k-best Parsing. IWPT 2005: 53-64 - [c5]Liang Huang, Hao Zhang, Daniel Gildea:
Machine Translation as Lexicalized Parsing with Hooks. IWPT 2005: 65-73 - 2004
- [c4]Stephanie Weirich, Liang Huang:
A Design for Type-Directed Programming in Java. WOOD 2004: 117-136 - 2003
- [c3]Liang Huang, Yinan Peng, Zhenyu Wu, Zhihao Yuan, Huan Wang, Hui Liu:
Pseudo Context-Sensitive Models for Parsing Isolating Languages: Classical Chinese - A Case Study. CICLing 2003: 48-51 - 2002
- [c2]Liang Huang, Yinan Peng, Huan Wang, Zhenyu Wu:
PCFG Parsing for Restricted Classical Chinese Texts. SIGHAN@COLING 2002 - [c1]Liang Huang, Yinan Peng, Huan Wang, Zhenyu Wu:
Statistical Part-of-Speech Tagging for Classical Chinese. TSD 2002: 115-122
Coauthor Index
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