Associate Professor, Ph. D. Advisor
Natural Language Processing Research Group
State Key Laboratory of Novel Software Technology
Department of Computer Science and Technology, Nanjing University
[Correspondence] [Biography] [Recruiting] [Research Interests] [Academic Services] [Honors and Awards] [Courses] [Presentations] [Selected Publication]
Office:
Room 902, Computer Science and Technology Building, Xianlin Campus of Nanjing University
163 Xianlin Avenue, Nanjing 210023, China
E-mail:
huangsj at nju dot edu dot cn
Currently, I am an associate professor and Ph. D. Advisor in Department of Computer Science and Technology of Nanjing University, member of the National Key Laboratory of Novel Software Technology.
I received my B.Sc. degree and Ph. D. in Computer Science in Jun. 2006 and Jun. 2012 from Nanjing University, respectively. I am a member of NLP Group since undergraduate in Sep. 2005, led by Prof. Jiajun Chen. During my Ph. D. study, I spent 11 months (from Oct. 2007 to Aug. 2008) as visiting student in NLC group, MSRA, where I worked with Long Jiang in Chinese Couplet project and in SMT team with Mu Li, Henry Li and Dongdong Zhang. I also spent 12 months as a visiting student in InterACT lab, LTI, CMU, working with Prof. Stephan Vogel.
I was awarded the Excellent Young Scholar Research Project by Jiangsu Provincial Research Foundation in 2017, CCF-NLPCC Young Outstanding Scientist Award in 2020, CIPSC Hanwang Youth Innovation Award in 2022. Our alumni Hao Zhou, Zaixiang Zheng, Yu Bao (co-advised with Prof. Jiajun Chen) were awarded Best Ph. D. Thesis Awards.
Our translation quality estimation research and systems won the first place in WMT2022 QE subtasks (word-level MQM (En-De), sentence-level MQM (En-De)) and WMT2023 QE subtasks (word-level MQM (En-De), error span detection (En-De)).
I am looking for highly motivated undergraduate students to work together on NLP problems. If you have no NLP background, please consider joining our NLP summer camp first (every summer, mainly for freshman or sophomore). There are some talks about our research on bilibili.com. Please take a look before you apply.
We are also expecting post-doc researchers to work together on NLP research or applications.
I am terribly sorry for not being able to reply all emails applying for a Ph.D. position (overwhelmed by the applications). My reply is usually fast. Please consider me as unavailable if no reply within 3~4 working days.
My research is supported by projects from National Natural Science Foundation of China (NSFC), National Key R&D Program of China and the Jiangsu Provincial Research Foundation for Basic Research. We also have wide collaborations with industrial labs in Baidu, Tencent, Alibaba, ByteDance, Huawei, ZTE, etc.
My research interests lie in natural language processing (NLP), one of the hottest and most fundamental challenges in artificial intelligence, which is to automatically understand and generate natural language texts. My group and I are working on problems such as machine translation, summarization, question answering, etc. These problems usually require a deep understanding of languages, as well as the ability of fluent generation. Previous attempts to these problems involve lexical/syntactic/semantic analysis of natural language texts. Nowadays, the development of pretrained models and large language models (LLMs) provides other possibilities.
We are particularly interested in designing and applying statistical methods/models (including deep learning models, LLMs) for these problems. Currently, we mainly focus on the following topics:
- Machine Translation. We’re investigating various methods to improving the capability of machine translation models, by designing novel architectures for autoregressive and non-autoregressive paradigms, evaluating/estimating the quality of machine translation, bringing human into the learning loop, improving translation performance for low-resource language pairs or domains, etc. One major focus is to elicit the translation ability from LLMs for multiple languages, etc.
- Multilingual Comprehension with LLMs. We’re interested in the ability of LLMs in understanding/generating texts for each individual language, with special focus on the consistency of comprehension abilities across different languages, and the comprehension of common-sense knowledge, the increment and composition of knowledge, etc.
- Emergent Abilities of LLM. We’re trying to understand the emergent abilities of LLMs, including the abilities for in-context learning, logic reasoning, mathematical computation, information extraction, as well as the ability of working as intelligent agents for a given task.
- Natural Language Generation. We’re modelling different natural language generation tasks, e.g., summarization, paraphrasing, text style transfer, text simplification, answering questions with natural text, dialog, etc. Certain controlling factors need to be considered for a specific generation task, which brings interesting challenges. Other topics for generation include the evaluation, factual consistency and explainability, etc.
- Interdisciplinary Application of NLP/NLG. We’re actively applying the techniques of machine translation and natural language processing in interdisciplinary research. For example, to analyze ancient Chinese, to generate or translate ancient Chinese, to understand the language comprehension process of human brain, etc.
in Autumn semester, for undergraduate students.
in Spring semester, for undergraduate students.
in Spring semester, for undergraduate students.
in Autumn semester, for graduate students.
in Spring semester, for both undergraduate and graduate students.
(mostly in Chinese, hosted on bilibili.com)
Exploring the Multilingual Ability of Large Language Models (video). Invited talk at Bytedance. 2023-08.
Introduction to Machine Translation (video). NJUNLP SummerCamp 2023. 2023-07.
Analyzing Multilingual Machine Translation Ability of Large Language Models (video). Invited talk at HIT. 2023-04.
kNN Machine Translation. Tutorial at NLPCC2022 (video) and later at MLNLP2022 (video).
Quality Estimation for Machine Translation (video). Invited talk at MTPE workshop. 2022-02 (updated 2023-05).
Natural Language Generation with Latent Variables (video). Invited Talk at FDU. 2020-06.
A More Complete List on Google Scholar
* marks corresponding author(s).
2023
Jiahuan Li, Ruochun Wu, Wenjing Hu, Jixuan Chen, Weilu Xu, Shujian Huang*, Jiajun Chen. Dictionary Definition Augemented Neural Machine Translation for Anciet Chinese Text. Accepted by CCMT2023 (in Chinese). Best Paper Award.
Xu Huang, Zhirui Zhang, Ruize Gao, Yichao Du, Lemao Liu, Guoping Huang, Shuming Shi, Jiajun Chen, Shujian Huang*. IMTLab: An Open-Source Platform for Building, Evaluating, and Diagnosing Interactive Machine Translation Systems. accepted by EMNLP2023 (arXiv:2310.11163).
Xiang Geng, Yu Zhang, Zhejian Lai, Shuaijie She, Wei Zou, Shimin Tao, Hao Yang, Jiajun Chen, Shujian Huang*. Improved Pseudo Data for Machine Translation Quality Estimation with Constrained Beam Search. accepted by EMNLP2023.
Changjiang Gao, Shujian Huang*, Jixing Li, Jiajun Chen. Roles of Scaling and Instruction Tuning in Language Perception: Model vs. Human Attention. accepted by EMNLP’2023-findings (arXiv:2310.19084).
Zihan Liu, Zewei Sun, Shanbo Cheng, Shujian Huang, Mingxuan Wang. Only 5% Attention Is All You Need: Efficient Long-range Document-level Neural Machine Translation. In Proceedings of IJCNLP&AACL 2023, pages 733-743, November 1-4, 2023.
Zheng Ma, Mianzhi Pan, Wenhan Wu, Kanzhi Cheng, Jianbing Zhang*, Shujian Huang*, and Jiajun Chen. Food-500 Cap: A Fine-Grained Food Caption Benchmark for Evaluating Vision-Language Models. In Proceedings of ACMMM’2023, pages 5674-5681, October 29-November 3, 2023, Ottawa, ON, Canada.
Wenhao Zhu, Yunzhe Lv, Qingxiu Dong, Fei Yuan, Jingjing Xu, Shujian Huang*, Lingpeng Kong, Jiajun Chen, Lei Li. Extrapolating Large Language Models to Non-English by Aligning Languages. arXiv:2308.04948 (video, code)
Jiahuan Li, Hao Zhou, Shujian Huang*, Shanbo Cheng, Jiajun Chen. Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation Instructions. arXiv:2305.15083 (video, code)
Wenhao Zhu, Hongyi Liu, Qingxiu Dong, Jingjing Xu, Shujian Huang*, Lingpeng Kong, Jiajun Chen, Lei Li. Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis. arXiv:2304.04675 (video, code)
Wenhao Zhu, Qianfeng Zhao, Yunzhe Lv, Shujian Huang*, Siheng Zhao, Sizhe Liu, Jiajun Chen. kNN-BOX: A Unified Framework for Nearest Neighbor Generation. arXiv:2302.13574 (video, code)
Wenhao Zhu, Shujian Huang*, Yunzhe Lv, Xin Zheng and Jiajun CHEN. What Knowledge Is Needed? Towards Explainable Memory for kNN-MT Domain Adaptation. Findings of the Association for Computational Linguistics: ACL 2023, pages 2824–2836. (code)
Wenhao Zhu, Jingjing Xu, Shujian Huang*, Lingpeng Kong and Jiajun CHEN. INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 15948–15959. (code)
Sen Yang, Shujian Huang*, Wei Zou, Jianbing Zhang, Xinyu Dai and Jiajun CHEN. Local Interpretation of Transformer Based on Linear Decomposition. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 10270–10287. (video, code)
Yiming Yan, Tao Wang, Chengqi Zhao, Shujian Huang*, Jiajun CHEN and Mingxuan Wang. BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 5428–5443. (video, code)
Min Liu, Yu Bao, Chengqi Zhao, Shujian Huang*. Selective Knowledge Distillation for Non-Autoregressive Neural Machine Translation. In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI 2023), pages 13246-13254. (code)
Shuaijie She, Xiang Geng, Shujian Huang*, Jiajun Chen. CoP: Factual Inconsistency Detection by Controlling the Preference. In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI 2023), pages 13556-13563. (video, code)
Xiang Geng, Yu Zhang, Jiahuan Li, Shujian Huang*, Hao Yang, Shimin Tao, Yimeng Chen, Ning Xie, Jiajun Chen. Denoising Pre-Training for Machine Translation Quality Estimation with Curriculum Learning. In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI 2023), pages 12827-12835. (video, code)
2022
Jiahuan Li, Shanbo Cheng, Zewei Sun, Mingxuan Wang, Shujian Huang*. Better Datastore, Better Translation: Generating Datastores from Pre-Trained Models for Nearest Neural Machine Translation. arXiv:2212.08822.
Yu Bao, Shujian Huang*, Hao Zhou, Lei Li, Xinyu Dai, Jiajun Chen. Unsupervised Paraphrasing via Syntactic Template Sampling. SCIENTIA SINICA Informationis, Volume 52, pages 1808-1821, 2022 (in Chinese).
Xinyou Wang, Zaixiang Zheng*, Shujian Huang*. Helping the Weak Makes You Strong: Simple Multi-Task Learning Improves Non-Autoregressive Translators, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 5513-5519, December 7-11.
Wenhao Zhu, Shujian Huang*, Tong Pu, Pingxuan Huang, Xu Zhang, Jian Yu, Wei Chen, Yanfeng Wang, Jiajun Chen. FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine Translation. International Conference on Language Resources and Evaluation (LREC2022), pages 6719-6727, Marseille, France, 2022.
Yanling Xiao, Lemao Liu*, Guoping Huang, Qu Cui, Shujian Huang*, Shuming Shi, Jiajun Chen. BiTIIMT: A Bilingual Text-infilling Method for Interactive Machine Translation. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1958-1969, Dublin, Ireland, 2022.
Yu Bao, Hao Zhou, Shujian Huang*, Dongqi Wang, Lihua Qian, Xinyu Dai, Jiajun Chen, Lei Li. latent-GLAT: Glancing at Latent Variables for Parallel Text Generation. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 8398-8409, Dublin, Ireland, 2022.
Dongqi Wang, Haoran Wei, Zhirui Zhang, Shujian Huang*, Jun Xie, Jiajun Chen. Non-Parametric Online Learning from Human Feedback for Neural Machine Translation. In Proceedings of The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), pages 11431-11439.
2021
Zaixiang Zheng, Hao Zhou*, Shujian Huang, Jiajun Chen, Jingjing Xu, Lei Li. Duplex Sequence-to-Sequence Learning for Reversible Machine Translation. In Proceedings of the 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia.
Qingnan Jiang, Mingxuan Wang, Jun Cao, Shanbo Cheng, Shujian Huang*, Lei Li. Learning Kernel-Smoothed Machine Translation with Retrieved Examples. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 7280-7290, Online and Punta Cana, Dominican Republic.
Xin Zheng, Zhirui Zhang, Shujian Huang*, Boxing Chen, Jun Xie, Weihua Luo, Jiajun Chen. Non-Parametric Unsupervised Domain Adaptation for Neural Machine Translation. In Findings of the Association for Computational Linguistics: EMNLP 2021, pages 4234-4241 (short paper).
Xin Zheng, Zhirui Zhang, Junliang Guo, Shujian Huang*, Boxing Chen, Weihua Luo, Jiajun Chen. Adaptive Nearest Neighbor Machine Translation. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL2021 Short Papers), pages 368-374, August 1-6, 2021.
Jiahuan Li, Yutong Shen, Shujian Huang*, Xin-Yu Dai, Jiajun Chen. When is Char Better Than Subword: A Systematic Study of Segmentation Algorithms for Neural Machine Translation. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL2021 Short Papers), pages 543-549, August 1-6, 2021.
Yu Bao, Shujian Huang*, Tong Xiao, Dongqi Wang, Xin-Yu Dai, Jiajun Chen. Non-Autoregressive Translation by Learning Target Categorical Codes. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL2021), pages 5749-5759, June 6-11, 2021.
Qu Cui, Shujian Huang*, Jiahuan Li, Xiang Geng, Zaixiang Zheng, Guoping Huang, Jiajun Chen. DirectQE: Direct Pretraining for Machine Translation Quality Estimation. In Proceedings of Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI2021), pages 12719-12727.
2020
Zaixiang Zheng, Xiang Yue, Shujian Huang*, Jiajun Chen, Alexandra Birch. Toward Making the Most of Context in Neural Machine Translation. In Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI2020), Yokohama, Japan, 2021.
Zaixiang Zheng, Shujian Huang*, Rongxiang Weng, Xinyu Dai, Jiajun Chen. Improving Self-Attention Networks with Sequential Relations. IEEE/ACM Transactions on Audio, Speech, and Language Processing, Volume 28, pages 1707-1716, 2020.
Zaixiang Zheng, Hao Zhou, Shujian Huang*, Lei Li, Xin-Yu Dai, Jiajun Chen. Mirror-Generative Neural Machine Translation. International Conference on Learning Representations (ICLR2020)(with Highest Ratings from all reviewers, Oral Presentation(selected)), pages 1-16, Addis Ababa, Ethiopia, 2020.
Wei Zou, Shujian Huang*, Jun Xie, Xinyu Dai, Jiajun Chen. A Reinforced Generation of Adversarial Examples for Neural Machine Translation. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 3486-3497, July 5-10, 2020.
Jiahuan Li, Yu Bao, Shujian Huang*, Xinyu Dai, Jiajun Chen. Explicit Semantic Decomposition for Definition Generation. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 708-717, 2020.
Xuhui Zhou, Zaixiang Zheng, Shujian Huang. RPD: A Distance Function Between Word Embeddings. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics Student Research Workshop, pages 42-50, 2020.
Rongxiang Weng, Shujian Huang*, Hao-Ran Wei, Heng Yu, Weihua Luo, Lidong Bing, Jiajun Chen. GRET: Global Representation Enhanced Transformer. The Thirty-Fourth AAAI Conference on Artificial Intelligence, New York, pages 9258-9265, 2020.
Zewei Sun, Shujian Huang*, Hao-Ran Wei, Xin-yu Dai, Jiajun Chen. Generating Diverse Translation by Manipulating Multi-Head Attention. The Thirty-Fourth AAAI Conference on Artificial Intelligence, pages 8976-8983, New York, 2020.
Rongxiang Weng, Heng Yu, Shujian Huang*, Shanbo Cheng, Weihua Luo. Acquiring Knowledge from Pre-trained Model to Neural Machine Translation. The Thirty-Fourth AAAI Conference on Artificial Intelligence, pages 9266-9273, New York, 2020.
2019
Wenhao Zhu, Zhihao Zhou, Shujian Huang*, Zhenya Lin, Xiangsheng Zhou, Yaofeng Tu, Jiajun Chen. Improving Bilingual Lexicon Induction on Distant Language Pairs. In Proceedings of China Conference on Machine Translation (CCMT2019), Best English Paper Award, pages 1-10, Nanchang, China, 2019.
Huiyun Yang, Shujian Huang*, Xinyu Dai, Jiajun Chen. Fine-grained Knowledge Fusion for Sequence Labeling Domain Adaptation. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, pages 4188-4197, Hong Kong, China, November 3-7, 2019.
Zaixiang Zheng, Shujian Huang*, Zhaopeng Tu, Xin-Yu Dai, Jiajun Chen. Dynamic Past and Future for Neural Machine Translation. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, pages 930-940, Hong Kong, China, November 3-7, 2019.
Peng Wu, Shujian Huang*, Rongxiang Weng, Zaixiang Zheng, Jianbing Zhang, Xiaohui Yan and Jiajun Chen. Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 6130-6139 Florence, Italy, July 28-August 2, 2019.
Yu Bao, Hao Zhou, Shujian Huang*, Lei Li, Lili Mou, Olga Vechtomova, XIN-YU DAI and Jiajun CHEN. Generating Sentences from Disentangled Syntactic and Semantic Spaces. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 6008-6019 Florence, Italy, July 28-August 2, 2019.
Di Yin, Shujian Huang*, Xin-Yu Dai and Jiajun Chen. Utilizing Non-Parallel Text for Style Transfer by Making Partial Comparisons. In Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19), pages 5379-5386, Macao, China, 2019.
Rongxiang Weng, Hao Zhou, Shujian Huang*, Lei Li, Yifan Xia and Jiajun Chen. Correct-and-Memorize: Learning to Translate from Interactive Revisions. In Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19), pages 5255-5263, Macao, China, 2019.
Hao-Ran Wei, Shujian Huang*, Boxing Chen, Ran Wang, XIN-YU DAI and Jiajun CHEN. Online Distilling from Checkpoints for Neural Machine Translation. In Proceedings of NAACL-HLT 2019, pages 1932-1941, Minneapolis, Minnesota, June 2-June 7, 2019.
2018
Zaixiang Zheng, Hao Zhou, Shujian Huang*, Lili Mou, Xinyu Dai, Jiajun Chen, and Zhaopeng Tu. Modeling Past and Future for Neural Machine Translation. Transactions of the Association for Computational Linguistics (TACL), Volume 6, pages 145-157, Melbourne, Australia, 2018.
Huadong Chen, Shujian Huang*, David Chiang, Xinyu Dai, and Jiajun Chen. Combining character and word information in neural machine translationusing a multi-level attention. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), pages 1284-1293, New Orleans, Louisiana, 2018.
Zaixiang Zheng, Shujian Huang*, Zewei Sun, Rongxiang Weng, Xin-Yu Dai, Jiajun Chen. Learning to Discriminate Noises for Incorporating External Information in Neural Machine Translation. arXiv:1810.10317, 2018.
Zaixiang Zheng, Shujian Huang*, Xin-Yu Dai, Jiajun Chen. Controlling the Transition of Hidden States for Neural Machine Translation. In China Workshop on Machine Translation, pages 86-92. Springer, Singapore, 2018
2017
Hongjie Ji, Shujian Huang*, Qi Hou, Cunyan Yin, and Jiajun Chen. Rgraph:Generating reference graphs for better machine translation evaluation. In China Workshop on Machine Translation, pages 55-67, Springer, Dalian, China, 2017.
Zi-Yi Dou, Shu-Jian Huang*, and Yi-Fan Su. Compressing neural networks byapplying frequent item-set mining. In International Conference on Artificial Neural Networks, pages 696-704, Springer, Alghero, Sardinia, Italy, 2017.
Rongxiang Weng, Shujian Huang*, Zaixiang Zheng, Xinyu Dai and Jiajun Chen. Neural Machine Translation with Word Predictions. Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 136-145, Copenhagen, Denmark, 2017.
Huadong Chen, Shujian Huang*, David Chiang, XIN-YU DAI and Jiajun CHEN. Top-rank Enhanced Listwise Optimization for Statistical Machine Translation. Conference on Computational Natural Language Learning (CoNLL), pages 90-99, Vancouver, Canada, 2017.
Jianbing Zhang, Yixin Sun, Shujian Huang*, Cam-Tu Nguyen, Xiaoliang Wang, Xinyu Dai, Jiajun Chen, Yang Yu. AGRA: An Analysis-Generation-Ranking Framework for Automatic Abbreviation from Paper Titles. International Joint Conference on Artificial Intelligence (IJCAI), pages 4221-4227, Melbourne, Australia, 2017.
Huadong Chen, Shujian Huang*, David Chiang, Jiajun Chen. Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder. Annual Meeting of the Association for Computational Linguistics (ACL), pages 580-585, Vancouver Canada, 2017.
Hao Zhou, Zhaopeng Tu, Shujian Huang, Xiaohua Liu, Hang Li and Jiajun Chen. Chunk-based Bi-Scale Decoder for Neural Machine Translation. Annual Meeting of the Association for Computational Linguistics (ACL), pages 1936-1945, Vancouver Canada, 2017. (Short paper).
Hao Zhou, Yue Zhang*, Chuan Chen, Shujian Huang*, Xin-Yu Dai, and Jiajun Chen. A Neural Probabilistic Structured-Prediction Method for Transition-Based Natural Language Processing. Journal of Artificial Intelligence Research (JAIR), Volume 58, pages 703-729, 2017.
2016
Hao Zhou, Yue Zhang, Shujian Huang, Junsheng Zhou, XIN-YU DAI and Jiajun Chen. A Search-Based Dynamic Reranking Model for Dependency Parsing. in Proceedings of 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016), pages 1393-1402, Berlin, Germany, August 7-12, 2016.
Shujian Huang, Huifeng Sun, Chengqi Zhao, Jinsong Su, Xinyu DAI and Jiajun Chen. Tree-state based Rule Selection Models for Hierarchical Phrase-based Machine Translation. in Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI 2016), pages 2817-2823, New York, USA, July 9-15, 2016.
Shanbo Cheng, Shujian Huang*, Huadong Chen, Xinyu DAI and Jiajun Chen. PRIMT: A Pick-Revise Framework for Interactive Machine Translation. in Proceedings of NAACL-HLT 2016, pages 1240-1249, San Diego, California, June 12-17, 2016.
Hao Zhou, Yue Zhang, Shujian Huang, Xin-Yu Dai, and Jiajun Chen. Evaluating a Deterministic Shift-Reduce Neural Parser for Constituent Parsing. in Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), pages 659-663, Slovenia, Portoroz, May 23-28, 2016.
Yinggong Zhao, Shujian Huang*, Xinyu Dai, and Jiajun Chen. Adaptation of Language Models for SMT Using Neural Networks with Topic Information. ACM Transactions on Asian and Low-Resource Language Information Processing (ACM TALLIP), 2016, 15(3): 19:1-19:15.
Hao Zhou, Shujian Huang*, Junsheng Zhou, Yue Zhang, Huadong Chen, Xinyu Dai, Chuan Cheng, Jiajun Chen. Enhancing Shift-Reduce Constituent Parsing with Action N-Gram Model. ACM Transactions on Asian and Low-Resource Language Information Processing (ACM TALLIP), 2016, 15(3): 13:1-13:17.
2015
Yichu Zhou, Shujian Huang*, Xinyu Dai, Jiajun Chen. Resolving Coordinate Structures for Chinese Constituent Parsing. in Natural Language Processing and Chinese Computing, J. Li et al. (Eds.): NLPCC 2015, LNAI 9362, pp. 353-361, Springer International Publishing, 2015.
Liqiang Niu, Xin-Yu Dai, Shujian Huang, and Jiajun Chen. A Unified Framework for Jointly Learning Distributed Representations of Word and Attributes. In Proceedings of 7th Asian Conference on Machine Learning (ACML 2015) November 20-22, 2015, Hong Kong, JMLR: Workshop and Conference Proceedings 45:143-156, 2015
Jinsong Su, Deyi Xiong, Shujian Huang, Xianpei Han, Junfeng Yao. Graph-Based Collective Lexical Selection for Statistical Machine Translation. in Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP2015), pages 1238-1247, Lisbon, Portugal, 17-21 September 2015.
Shujian Huang, Huadong Chen, Xinyu Dai, Jiajun Chen. Non-linear Learning for Statistical Machine Translation. in Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (ACL2015), pages 825-835, Beijing, China, July 26-31, 2015.
Hao Zhou, Yue Zhang, Shujian Huang, Jiajun Chen. A Neural Probabilistic Structured-Prediction Model for Transition-Based Dependency Parsing. in Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (ACL2015), pages 1213-1222, Beijing, China, July 26-31, 2015.
G. Hu, X. Dai, S. Huang, J. Chen. A Synthetic Approach for Recommendation: Combining Ratings, Social Relations, and Reviews. in Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI 2015), pages 1756-1762.
X. Dai, J. Zhang, S. Huang, J. Chen, and Z. Zhou. Structured sparsity with group-graph regularization. In: Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI’15), Austin, TX, 2015
2014
Yinggong Zhao, Shujian Huang, Xinyu Dai, Jianbing Zhang, Jiajun Chen. Learning Word Embeddings from Dependency Relations. International Conference on Asian Language Processing 2014 (IALP 2014), October 20-23, 2014, Sarawak, Malaysia
Yinggong Zhao, Shujian Huang, Huadong Chen, and Jiajun Chen. An Investigation on Statistical Machine Translation with Neural Language Models. CCL and NLP-NABD 2014, pp. 175-186, October 18-19, 2014, Wuhan, China
2013
HUANG Shujian, DAI Xinyu, CHEN Jiajun. Hypothesis Pruning in Learning Word Alignment. Chinese Journal of Electronics, 2013 Vol. 22 (CJE-1).
2012
Ning Xi, Guangchao Tang, Xinyu Dai, Shujian Huang, Jiajun Chen. Enhancing Statistical Machine Translation with Character Alignment. in Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (short paper), Jeju Island, Korea, July 8 - 14, 2012.
2011
Shujian Huang, Stephan Vogel and Jiajun Chen. Dealing with Spurious Ambiguity in Learning ITG-based Word Alignment. in ACL:HLT 2011:shortpaper, Portland, Oregon, USA, June 19-24, 2011.
Qiufeng Wu, Shujian Huang, Xinyu Dai and Jiajun Chen. A Syntax-based Pre-reordering Method for Chinese-English Machine Translation. in Proceedings of the 12th Chinese National Conference on Computational Linguistics (CNCCL-2011), Luoyang, China, June 2010. (In Chinese)
2010
Shujian Huang, Kangxi Li, Xinyu Dai and Jiajun Chen. Improving Word Alignment by Semi-supervised Ensemble. in CoNLL 2010. Uppsala, Sweden, July 11-16, 2010.
2009
Yabing Zhang, Junsheng Zhou, Shujian Huang and Jiajun Chen. Combining ILP and MLN for Coreference Resolution. in International Conference on Asian Language Processing (IALP 2009), Singapore, Dec 7-9, 2009
Biping MENG, Shujian Huang, Xinyu Dai and Jiajun Chen. Segmenting Long Sentence Pairs for Statistical Machine Translation. in International Conference on Asian Language Processing (IALP 2009), Singapore, Dec 7-9, 2009
Liu Weipeng, Zhou Junsheng, Huang Shujian and Chen Jiajun. Global Optimization Based On Clustering for Coreference Resolution. in The 10th Chinese National Conference on Computational Linguistics (CNCCL-2009), Yantai, China, July 24-26, 2009. (In Chinese)
Shujian Huang, Ning Xi, Yinggong Zhao, Xinyu Dai, Jiajun Chen. An Error-Sensitive Metric for Word Alignment in Phrase-based SMT. Journal of Chinese Information Processing, 2009, vol. 23, no. 3. (Revised version of CWMT2008 paper, In Chinese)
Shujian Huang, Yabing Zhang, Junsheng Zhou, Jiajun Chen. Coreference Resolution using Markov Logic Networks. (Best Poster Award (1/25) in The 10th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing’2009), Mexico city, Mexico, 2009 poster; in Research in Computing Science: Advances in Computational Linguistics, Alexander Gelbukh Ed., vol. 41, page 157~168, ISSN: 1870-4069)
2007
Junsheng Zhou, Shujian Huang, Jiajun Chen and Weiguang Qu. A New Graph Clustering Algorithm for Chinese Noun Phrase Coreference Resolution. Journal of Chinese Information Processing, 2007, vol. 21, no. 2. (In Chinese)
Last Update 2023-08-31
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