论文发表

  1. Changjiang Gao, Hongda Hu, Peng Hu, Jiajun Chen, Jixing Li, Shujian Huang. Multilingual Pretraining and Instruction Tuning Improve Cross-Lingual Knowledge Alignment, But Only Shallowly. NAACL'2024.
  2. Shuaijie She, Shujian Huang, Xingyun Wang, Yanke Zhou, Jiajun Chen. Exploring the Factual Consistency in Dialogue Comprehension of Large Language Models. NAACL'2024.
  3. Fangxu Yu, Junjie Guo, ZhenWu, Xinyu Dai. Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in Conversation. Findings of NAACL'2024.
  4. 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. Findings of NAACL'2024.
  5. Peng Ding, Jun Kuang, Dan Ma, Xuezhi Cao, Yunsen Xian, Jiajun Chen, Shujian Huang. A Wolf in Sheep’s Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily. NAACL'2024.
  6. Jiahuan Li, Shanbo Cheng, Shuangjian Huang, Jiajun Chen. MT-PATCHER: Selective and Extendable Knowledge Distillation from Large Language Models for Machine Translation. NAACL'2024.
  7. Wenhao Zhu, Qianfeng Zhao, Yunzhe Lv, Shujian Huang, Siheng Zhao, Sizhe Liu, Jiajun Chen. kNN-BOX: A Unified Framework for Nearest Neighbor Generation. EACL (demo).
  8. Lingxing Kong, Zheng Ma, Jianbing Zhang, Liang He, Jiajun Chen. EMORED: A DATASET FOR RELATION EXTRACTION IN TEXTS WITH EMOTICONS. ICASSP'2024.
  9. Lingxing Kong, Jiuliang Wang, Zheng Ma, Qifeng Zhou, Jianbing Zhang, Liang He, Jiajun Chen. A Hierarchical Network for Multimodal Document-Level Relation Extraction. AAAI'2024.
  10. 李家欢，吴若纯，胡文菁，陈冀轩，徐维潞，黄书剑，陈家骏. 词典释义增强的古文机器翻译. CCMT'2023.
  11. Jiahuan Li，Hao Zhou，Shujian Huang，Shanbo Cheng，Jiajun Chen. Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation Instructions. TACL.
  12. 欧阳亚文，高源，宗石，鲍宇，戴新宇. Pobe: 一种基于生成式模型的分布外文本检测方法. 软件学报.
  13. 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. IJCNLP-AACL'2023.
  14. Robert Ridley, Zhen Wu, Jianbing Zhang, Shujian Huang, Xinyu Dai. Addressing Linguistic Bias through a Contrastive Analysis of Academic Writing in the NLP Domain. EMNLP'2023.
  15. Changjiang Gao, Shujian Huang, Jixing Li, Jiajun Chen. Roles of Scaling and Instruction Tuning in Language Perception: Model vs. Human Attention. Findings of EMNLP'2023.
  16. 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. EMNLP'2023.
  17. Qi Guo, Yuanhang Tang, Yawen Ouyang, Zhen Wu, Xinyu Dai. Debias NLU Datasets via Training-free Perturbations. Findings of EMNLP'2023.
  18. Fei Zhao, Chunhui li, Zhen Wu, Yawen Ouyang, Jianbing Zhang, Xinyu Dai. M2DF: Multi-grained Multi-curriculum Denoising Framework for Multimodal Aspect-based Sentiment Analysis. EMNLP'2023.
  19. 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. EMNLP'2023.
  20. Zhejian Lai, Xiang Geng, Yu Zhang, Jiajun Chen, Shujian Huang. NJUNLP’s Submission for CCMT 2023 Quality Estimation Task. CCMT'2023.
  21. Xiang Geng, Zhejian Lai, Yu Zhang, Shimin Tao, Hao Yang, Jiajun Chen, Shujian Huang. NJUNLP’s Participation for the WMT2023 Quality Estimation Shared Task. WMT'2023.
  22. Wenhao Zhu, Hao Zhou, Changjiang Gao, Sizhe Liu, Shujian Huang. Research Development of Machine translation and Large Language Model. CCL'2023.
  23. Kanzhi Cheng, Wenpi Song, Zheng Ma, Wenhao Zhu, Zixuan Zhu, Jianbing Zhang. Beyond Generic: Enhancing Image Captioning with Real-World Knowledge using Vision-Language Pre-Training Model. ACMMM'2023.
  24. 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. ACMMM'2023.
  25. Zheng Ma, Changxin Wang, Bo Huang, Zixuan Zhu, and Jianbing Zhang. Bounding and Filling: A Fast and Flexible Framework for Image Captioning. NLPCC'2023.
  26. Yuanhang Tang, Yawen Ouyang, Zhen Wu, Baohua Zhang, Jiaying Zhang, and Xinyu Dai. IDOS: A Unified Debiasing Method via Word Shuffling. NLPCC'2023.
  27. Pengfei Sun, Dingjie Song, Yawen Ouyang, Zhen Wu, and Xinyu Dai. Episode-based Prompt Learning for Any-shot Intent Detection. NLPCC'2023.
  28. Liang He, Hongke Wang, Yongchang Cao, Zhen Wu, Jianbing Zhang, Xinyu Dai. MORE: A Multimodal Object-Entity Relation Extraction Dataset with a Benchmark Evaluation. ACMMM'2023.
  29. Shangyu Xing, Fei Zhao, Zhen Wu, Chunhui li, Jianbing Zhang and Xinyu Dai. DRIN: Dynamic Relation Interactive Network for Multimodal Entity Linking. ACMMM'2023.
  30. Fei Zhao, Zhen Wu, Liang He, Xinyu Dai. Label-correction Capsule Network for Hierarchical Text Classification. TASLP'2023.
  31. Yiming Yan, Tao Wang, Chengqi Zhao, Shujian Huang, Jiajun Chen, Mingxuan Wang. BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training. ACL'2023.
  32. Yawen Ouyang, Yongchang Cao, Yuan Gao, Zhen Wu, Jianbing Zhang and Xinyu Dai. On Prefix-tuning for Lightweight Out-of-distribution Detection. ACL'2023.
  33. Ting Xu, Huiyun Yang, Zhen Wu, Jiaze Chen, Fei Zhao, Xinyu Dai. Measuring Your ASTE Models in The Wild: A Diversified Multi-domain Dataset For Aspect Sentiment Triplet Extraction. Findings of ACL'2023.
  34. Sen Yang, Shujian Huang, Wei Zou, Jianbing Zhang, Xinyu Dai and Jiajun Chen. Local Interpretation of Transformer Based on Linear Decomposition. ACL'2023.
  35. Wenhao Zhu, Jingjing Xu, Shujian Huang, Lingpeng Kong and Jiajun Chen. INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation. ACL'2023.
  36. Wenhao Zhu, Shujian Huang, Yunzhe Lv, Xin Zheng, Jiajun Chen. What Knowledge Is Needed? Towards Explainable Memory for kNN-MT Domain Adaptation. Findings of ACL'2023.
  37. Yongchang Cao, Liang He, Zhen Wu, Xinyu Dai. Make BERT-Based Chinese Spelling Check Model Enhanced by Layerwise Attention and Gaussian Mixture Model. IJCNN'2023.
  38. Min Liu, Yu Bao, Chengqi Zhao, Shujian Huang. Selective Knowledge Distillation for Non-Autoregressive Neural Machine Translation. AAAI'2023.
  39. Shuaijie She,Xiang Geng, Shujian Huang, Jiajun Chen. CoP: Factual Inconsistency Detection by Controlling the Preference. AAAI'2023.
  40. 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. AAAI'2023.
  41. Jiasheng Ye, Yawen Ouyang, Zhen Wu, Xinyu Dai. Out-of-Distribution Generalization Challenge in Dialog State Tracking. NeurIPS'2022 Workshop on Distribution Shifts.
  42. Xinyou Wang, Zaixiang Zheng and Shujian Huang. Helping the Weak Makes You Strong: Simple Multi-Task Learning Improves Non-Autoregressive Translators. EMNLP'2022 (short paper).
  43. Fei Zhao, Yuchen Shen, Zhen Wu, Xinyu Dai. Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category Detection. Findings of EMNLP'2022.
  44. Zheng Ma, Shi Zong, Mianzhi Pan, Jianbing Zhang, Shujian Huang, Xinyu Dai, Jiajun Chen. Probing Cross-modal Semantics Alignment Capability from the Textual Perspective. Findings of EMNLP'2022.
  45. Bin Wang, Jiangzhou Ju, Yang Fan, Xinyu Dai, Shujian Huang, Jiajun Chen. Structure-Unified M-Tree Coding Solver for Math Word Problem. EMNLP'2022.
  46. Siyu Long, Yi Zhou, Xinyu Dai, Hao Zhou. Zero-Shot 3D Drug Design by Sketching and Generating. NeurIPS'2022.
  47. Yawen Ouyang, Zhen Wu, Xinyu Dai, Shujian Huang, Jiajun Chen. Towards Multi-label Unknown Intent Detection. COLING'2022.
  48. Fei Zhao, Zhen Wu, Siyu Long, Xinyu Dai, Shujian Huang, Jiajun Chen. Learning from Adjective-Noun Pairs: A Knowledge-enhanced Framework for Target-Oriented Multimodal Sentiment Classification. COLING'2022.
  49. Kanzhi Cheng, Zheng Ma, Shi Zong, Jianbing Zhang, Xinyu Dai, Jiajun Chen. ADS-Cap: A Framework for Accurate and Diverse Stylized Captioning with Unpaired Stylistic Corpora. NLPCC'2022.
  50. Fei Zhao, Chunhui Li, Zhen Wu, Shangyu Xing, Xinyu Dai. Learning from Different text-image Pairs: A Relation-enhanced Graph Convolutional Network for Multimodal NER. ACMMM'2022.
  51. Ming Fang, Shi Zong, Jing Li, Xinyu Dai, Shujian Huang, Jiajun Chen. Analyzing the Intensity of Complaints on Social Media. Findins of NAACL'2022.
  52. 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. LREC'2022.
  53. Yanling Xiao, lemao liu, Guoping Huang, Qu Cui, Shujian Huang, Shuming Shi, Jiajun Chen. BiTIIMT: A Bilingual Text-infilling Method for Interactive Machine Translation. ACL'2022.
  54. 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. ACL'2022.
  55. Xi'ao Su, Ran Wang, Xinyu Dai. Contrastive Learning-Enhanced Nearest Neighbor Mechanism for Multi-Label Text Classification. ACL'2022. (short paper)
  56. Pengfei Sun, Yawen Ouyang, Dingjie Song, Xinyu Dai. Self-Supervised Task Augmentation for Few-Shot Intent Detection. JSCT 2022:37 (3), 527-538.
  57. Dongqi Wang, Haoran Wei, Zhirui Zhang, Shujian Huang, Jun Xie, Jiajun Chen. Non-Parametric Online Learning from Human Feedbackfor Neural Machine Translation. AAAI'2022.
  58. Zaixiang Zheng, Hao Zhou, Shujian Huang, Jiajun Chen, Jingjing Xu, Lei Li. Duplex Sequence-to-Sequence Learning for Reversible Machine Translation. NeurIPS'2021.
  59. Yu Bao, Shujian Huang, Hao Zhou, Lei Li, Xinyu Dai, Jiajun Chen，Unsupervised Paraphrasing via Syntactic Template Sampling (in Chinese), accepted by SCIENTIA SINICA Informationis. In press.
  60. Xin Zheng, Zhirui Zhang, Shujian Huang, Boxing Chen, Jun Xie, Weihua Luo and Jiajun Chen. Non-Parametric Unsupervised Domain Adaptation for Neural Machine Translation. Findings of EMNLP'2021. (short paper)
  61. Qingnan Jiang, Mingxuan Wang, Jun Cao, Shanbo Cheng, Shujian Huang, Lei Li. Learning Kernel-Smoothed Machine Translation with Retrieved Examples. EMNLP'2021.
  62. Ran Wang, Xi'ao Su, Siyu Long, Xinyu Dai, Shujian Huang and Jiajun Chen. Meta-LMTC: Meta-Learning for Large-Scale Multi-Label Text Classification. EMNLP'2021.
  63. Zhen Cui, Bin Wang, and Jiangzhou Ju. GeoCQA: A Large-scale Geography-Domain Chinese Question Answering Dataset from Examination. NLPCC'2021.
  64. Yawen Ouyang, Jiasheng Ye, Yu Chen, Xinyu Dai, Shujian Huang, Jiajun Chen. Energy-based Unknown Intent Detection with Data Manipulation. Findings of ACL'2021.
  65. Xin Zheng, Zhirui Zhang, Junliang Guo, Shujian Huang, Boxing Chen, Weihua Luo, Jiajun Chen. Adaptive Nearest Neighbor Machine Translation. ACL'2021 (short paper).
  66. Jiahuan Li, Yutong Shen, Shujian Huang, Xinyu Dai, Jiajun Chen. When is Char Better Than Subword: A Systematic Study of Segmentation Algorithms for Neural Machine Translation. ACL'2021. (short paper)
  67. Pengfei Sun, Yawen Ouyang, Wenming Zhang, Xinyu Dai. MEDA: Meta-Learning with Data Augmentation for Few-Shot Text Classification. IJCAI' 2021.
  68. Zhen Wu, Lijun Wu, Qi Meng, Yingce Xia, Shufang Xie, Tao Qin, Xinyu Dai, Tie-Yan Liu. UniDrop-A Simple yet Effective Technique to Improve Transformer without Extra Cost. NAACL'2021.
  69. Yu Bao, Shujian Huang, Tong Xiao, Dongqi Wang, Xinyu Dai, Jiajun Chen. Non-Autoregressive Translation by Learning Target Categorical Codes. NAACL'2021.
  70. Qu Cui, Shujian Huang, Jiahuan Li, Xiang Geng, Zaixiang Zheng, Guoping Huang, Jiajun Chen. DirectQE-Direct Pretraining for Machine Translation Quality Estimation. AAAI'2021.
  71. Bairan Fu, Wenming Zhang, Guangneng Hu, Xinyu Dai, Shujian Huang, Jiajun Chen. Dual Side Deep Context-aware Modulation for Social Recommendation. WWW'2021
  72. Yongchang Cao, Liang He, Robert Ridley, Xinyu Dai. Integrating BERT and Score-based Feature Gates for Chinese Grammatical Error Diagnosis. NLPTEA'2020.
  73. Robert Ridley, Liang He, Xinyu Dai, Shujian Huang, Jiajun Chen. Automated Cross-prompt Scoring of Essay Traits, AAAI'2021.
  74. Ran Wang, Robert Ridley, Xi'ao Su, Weiguang Qu, Xinyu Dai. A Novel Reasoning Mechanism for Multi-Label Text Classification, accepted by Information Processing and Management.
  75. Dan-Hao Zhu, Xin-Yu Dai, Jia-Jun Chen. Pre-train and Learn: Preserving Global Information for Graph Neural Networks. accepted by JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 33(1): 1–14.
  76. Pengfei Sun, Yawen Ouyang, Xin-Yu Dai, et.al., Similarity Learning with Implicit-network and Explicit-network for Zero-shot Intent Detection. accepted by SCIENTIA SINCA Informatics(In Chinese). In press.
  77. Kaijia Yang, Nantao Zheng, Xin-Yu Dai, Liang He, Shujian Huang, Jiajun Chen. Enhance Prototypical Network with Text Descriptions for Few-shot Relation Classification, CIKM’2020. (short paper)
  78. Chengcan Yin, Zhen Wu, Xin-Yu Dai, Shujian Huang, Jiajun Chen. Opinion Transmission Network for Jointly Improving Aspect-Oriented Opinion Words Extraction and Sentiment Classification, NLPCC’2020.
  79. Zhen Wu, Chengcan Yin, Xin-Yu Dai, Shujian Huang, Jiajun Chen. Transformer-Based Multi-aspect Modeling for Multi-aspect Multi-sentiment Analysis, NLPCC’2020 Evaluation Workshop.
  80. Siyu Long*, Ran Wang*, Kun Tao, Jiali Zeng, Xin-Yu Dai. Synonym Knowledge Enhanced Reader for Chinese Idiom Reading Comprehension. COLING’2020. (equal contribution, ordered by alphbetically)
  81. Fei Zhao, Zhen Wu, Xin-Yu Dai. Attention Transfer Network for Aspect-level Sentiment Classification, COLING’2020.
  82. Zhen Wu, Chengcan Ying, Fei Zhao, Zhifang Fan, Xinyu Dai, Rui Xia. Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction, Findings of EMNLP’2020.
  83. Danhao Zhu, Xin-Yu Dai, Jiajun Chen, Jie Yin. Sampling Informative Context Nodes for Network Embedding. Accepted by SCIENCE CHINA Information Sciences.
  84. Zaixiang Zheng, Shujian Huang, Rongxiang Weng, Xinyu Dai, Jiajun Chen. Improving Self Attention Networks with Sequential Relations. accepted by TASLP2020
  85. Zaixiang Zheng, Xiang Yue, Shujian Huang, Jiajun Chen, Alexandra Birch. Towards Making the Most of Context in Neural Machine Translation. accepted by IJCAI2020
  86. Zhen Cheng, Xinyu Dai, Shujian Huang, Jiajun Chen. Variational Explanation Generator: Generating Explanation for Natural Language Inference using Variational Auto-Encoder. accepted by ICDAR2020
  87. Yawen Ouyang, Moxin Chen, Xinyu Dai, Yinggong Zhao, Shujian Huang, Jiajun Chen. Dialogue State Tracking with Explicit Slot Connection Modeling. accepted by ACL2020
  88. Jiahuan Li*, Yu Bao*, Shujian Huang, Xinyu Dai, Jiajun Chen. Explicit Semantic Decomposition for Definition Generation accepted by ACL2020
  89. Wei Zou, Shujian Huang, Jun Xie, Xinyu Dai, Jiajun Chen. A Reinforced Generation of Adversarial Examples for Neural Machine Translation. accepted by ACL2020
  90. Chunyang Tan, Kaijia Yang, Xinyu Dai, Shujian Huang, Jiajun Chen. MSGE: A Multi-step Gated Model for Knowledge Graph Completion. accepted by PAKDD2020
  91. Zaixiang Zheng, Hao Zhou, Shujian Huang*, Lei Li, Xin-Yu Dai, Jiajun Chen. Mirror-Generative Neural Machine Translation. accepted by ICLR2020 (with Highest Ratings from all reviewers, Oral Presentation(selected)
  92. Zhen Wu, Fei Zhao, Xin-Yu Dai*, Shujian Huang, Jiajun Chen. Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction. accepted by AAAI2020
  93. Zewei Sun, Shujian Huang*, Hao-Ran Wei, Xin-yu Dai, Jiajun Chen. Generating Diverse Translation by Manipulating Multi-Head Attention. accepted by AAAI2020
  94. Rongxiang Weng, Shujian Huang*, Hao-Ran Wei, Heng Yu, Weihua Luo, Lidong Bing, Jiajun Chen. GRET: Global Representation Enhanced Transformer. accepted by AAAI2020
  95. Rongxiang Weng , Heng Yu, Shujian Huang*, Shanbo Cheng, Weihua Luo. Acquiring Knowledge from Pre-trained Model to Neural Machine Translation. accepted by AAAI2020
  96. Wenhao Zhu, Zhihao Zhou, Shujian Huang*, Zhenya Lin, Xiangsheng Zhou, Yaofeng Tu, Jiajun Chen. Improving Bilingual Lexicon Induction on Distant Language Pairs. accepted by CCMT2019. Best English Paper Award
  97. Huiyun Yang, Shujian Huang, Xinyu Dai, Jiajun Chen. Fine-grained Knowledge Fusion for Sequence Labeling Domain Adaptation. accepted by EMNLP2019
  98. Zaixiang Zheng, Shujian Huang, Zhaopeng Tu, XIN-YU DAI and Jiajun Chen. Dynamic Past and Future for Neural Machine Translation. accepted by EMNLP2019
  99. Rongxiang Weng, Hao Zhou, Shujian Huang, Lei Li, Yifan Xia and Jiajun Chen. Correct-and-Memorize: Learning to Translate from Interactive Revisions. accepted by IJCAI2019
  100. Di Yin, Shujian Huang*, Xin-Yu Dai and Jiajun Chen. Utilizing Non-Parallel Text for Style Transfer by Making Partial Comparisons. accepted by IJCAI2019
  101. 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. accepted by ACL2019 [code][paper]
  102. 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. accepted by ACL2019
  103. Zhifang Fan, Zhen Wu, XIN-YU DAI, Shujian Huang and Jiajun CHEN. Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling. NAACL 2019
  104. Kaijia Yang, Liang He, XIN-YU DAI, Shujian Huang and Jiajun CHEN. Exploiting Noisy Data in Distant Supervision Relation Classification. NAACL'2019
  105. Hao-Ran Wei, Shujian Huang, Ran Wang, XIN-YU DAI and Jiajun CHEN. Online Distilling from Checkpoints for Neural Machine Translation. NAACL'2019
  106. Ran Wang, Yang Song, and Xin-yu Dai. Msne: A novel markov chainsampling strategy for network embedding. In Pacific-Asia Conference on Knowledge Discovery and Data Mining, pages 107–118. Springer, 2019. [paper]
  107. Danhao Zhu, Xin-yu Dai, Kaijia Yang, Jiajun Chen, and Yong He. Pcane:Preserving context attributes for network embedding. In Pacific-Asia Conference on Knowledge Discovery and Data Mining, pages 156–168. Springer,2019. [paper]
  108. Tianhao Ning, Zhen Wu, Xin-Yu Dai, Jiajun Huang, Shujian Huang and Jiajun Chen. Improving Aspect Identification with Reviews Segmentation. In CCF International Conference on Natural Language Processing and Chinese Computing, pages 416-428, 2018.[paper]
  109. 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 1284–1293,2018. [paper]
  110. 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, 2017. [paper]
  111. 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, 2017.[paper]
  112. Zhen Wu, Xin-Yu Dai, Cunyan Yin, Shujian Huang, and Jiajun Chen. Improving review representations with user attention and product attention for sentiment classification. In Thirty-Second AAAI Conference on Artificial Intelligence, 2018. [paper]
  113. 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, 2018. [paper]
  114. Feng-Yu Qiu, Wei-Yi Ge, Xin-Yu Dai. Code Recommendation with Natural Language Tags and Other Heterogeneous Data. accepted by CSAI'2017.
  115. Guang-Neng Hu, Xin-Yu Dai*, Feng-Yu Qiu, Rui Xia, Tao Li, Shu-Jian Huang, Jia-Jun Chen. Collaborative Filtering with Topic and Social Latent Factors Incorporating Implicit Feedback. accepted by ACM TKDD.
  116. Hao Zhou*, Zhenting Yu*, Yue Zhang, Shujian Huang, Xin-Yu Dai, and Jiajun Chen. Word Context Character Embeddings for Chinese Word Segmentation. (Short paper) Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 760-766, Copenhagen, Denmark, 2017.
  117. 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.
  118. Guang-Neng Hu, Xin-Yu Dai. Integrating Reviews into Personalized Ranking for Cold Start Recommendation. Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, {PAKDD} 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part {II}, pages 708-720.
  119. 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.
  120. Hong-Jian Xue, Xin-Yu Dai, Jianbing Zhang, Shujian Huang, Jiajun Chen. Deep Matrix Factorization Models for Recommender Systems. International Joint Conference on Artificial Intelligence (IJCAI), pages 3203-3209, 2017.
  121. 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, 2017.
  122. 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.
  123. Huadong Chen, Shujian Huang, David Chiang, Jiajun Chen, Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder. Meeting of the Association for Computational Linguistics (ACL), pages 580-585, Vancouver Canada, 2017.
  124. Hao Zhou, Zhaopeng Tu, Shujian Huang, Xiaohua Liu, Hang Li and Jiajun Chen. Chunk-based Bi-Scale Decoder for Neural Machine Translation. Meeting of the Association for Computational Linguistics (ACL), pages 1936-1945, Vancouver Canada, 2017.
  125. Hao Zhou, Yue Zhang, Shujian Huang, Junsheng Zhou, XIN-YU DAI and Jiajun Chen. A Search-Based Dynamic Reranking Model for Dependency Parsing. Meeting of the Association for Computational Linguistics (ACL), 2016:1393-1402.
  126. 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.
  127. Shanbo Cheng, Shujian Huang, Huadong Chen, Xinyu DAI and Jiajun Chen. PRIMT: A Pick-Revise Framework for Interactive Machine Translation. Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), 2016:1240-1249.
  128. 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. Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI). AAAI Press, 2016: 2817-2823.
  129. Yinggong Zhao, Shujian Huang*, Xinyu Dai, and Jiajun Chen. Adaptation of Langage Models for SMT Using Neural Networks with Topic Information. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), 2016, 15(3): 19:1-19:15.
  130. 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 (TALLIP), 2016, 15(3): 13:1-13:17.
  131. 陈华栋，黄书剑，赵迎功，戴新宇，陈家骏,统计机器翻译中非线性参数学习的研究, 中文信息学报, 已录用
  132. 徐帅帅，戴新宇，黄书剑，陈家骏，基于无监督学习的微博评论分析方法, 中文信息学报, 已录用
  133. 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
  134. Linlin Pan, Xinyu Dai, Shujian Huang, and Jiajun Chen, Academic Paper Recommendation Based on Heterogeneous Graph, In Proceedings of The Fourteenth China National Conference on Computational Linguistics (CCL’2015), Guangzhou, China.
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  146. 尹存燕，黄书剑，戴新宇，陈家骏，面向新闻语料的中日命名实体翻译抽取, 小型微型计算机系统, 2015,36(6):1393-1397
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  148. 邢翠鹃，周逸初，李斌，贺胜, 句法语义结构表示方法的发展及探索, 第十三届全国计算语言学会议，2014年10月18-19日，武汉
  149. 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
  150. 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
  151. Yingjie Zhang，Bin Li，Xiaoyu Wang，Jiajun Chen, Mapping Word Senses of Middle Ancient Chinese to WordNet, NLPOE - 7th International Workshop on Natural Language Processing and Ontology Engineering, August 11-14, 2014, Wawsaw, Poland
  152. 杨思春，高超，戴新宇，尹存燕，陈家骏，基于差异性和重要性的问句特征组合,电子学报，2014,42(5):918-924.
  153. N. Xi, X. Dai, S. Huang, and J. Chen, Discriminative Word Alignment over Multiple Word Segmentations, Chinese Journal of Electronics, 2014 Vol. 23 (CJE-2): 263-270
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  155. Bin Li, Ning Xi, Minxuan Feng, Xiaohe Chen. Corpus Based Lexical Statistics of Pre-Qin Chinese. Lecture Notes in Computer Science Volume 7717, 2013, 145-153.(EI 检索号20130916058295).
  156. Yang Sichun,Gao Chao,Yao Jiamin,Dai Xinyu,Chen Jiajun. Combining features via importance-inhibitory analysis,Journal of Southeast University (English Edition), 2013,29(1):22-26.
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  158. Ning Xi, Bin Li, Guangchao Tang, Shujian Huang, Yinggong Zhao, Hao Zhou, Xinyu Dai, Jiajun Chen,Adapting Conventional Chinese Word Segmenter for Segmenting Micro-blog Text: Combining Rule-based and Statistic-based Approaches, Proceedings of the Second CIPS-SIGHAN Joint Conference on Chinese Language Processing, pages 63–68,Tianjin, China, 20-21 DEC. 2012.
  159. 高磊， 李斌， 戴新宇，黄书剑，陈家骏，基于依存分析和褒贬指向的微博情感对象抽取方法，NLP&CC 2012，北京，2012年10月31日~11月5日，http://tcci.ccf.org.cn/conference/2012/pages/page10_nlpcc2012testpaper.html
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  162. Ning Xi, Guangchao Tang, Xinyu Dai, Shujian Huang, Jiajun Chen, Enhancing Statistical Machine Translation with Character Alignment, Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, pages 285–290, 2012 Association for Computational Linguistics, Jeju, Korea, 8-14 July 2012.
  163. Chunyong Luo, Yangsheng Ji, Xinyu Dai and Jiajun Chen, Active learning with transfer learning. In: Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics Student Research Workshop(ACL2012), Jeju, Korea, 2012.
  164. 李斌, 冯敏萱, 陈小荷. 基于标注语料库的先秦汉语词汇统计, 第十三届汉语词汇语义学研讨会,2012.
  165. 李斌. 动宾搭配的语义分析和计算，世界图书出版公司，2012.
  166. Bin Li, Jiajun Chen and Yingjie Zhang. Web Based Collection and Comparison of Cognitive Properties in English and Chinese. NAACL-HLT 2012 Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction (AKBC-WEKEX), June 7-8, 2012, Montreal, Canada.
  167. Guangchao Tang, Bin Li, Shuaishuai Xu, Xinyu Dai and Jiajun Chen. NJU-Parser: Achievements on Semantic Dependency Parsing. The First Joint Conference on Lexical and Computational Semantics(*SEM). June 7-8, 2012, Montreal, Canada.
  168. Yingjie Zhang, Bin Li, Xinyu Dai and Jiajun Chen. MIXCD_System Description for Evaluating Chinese Word Similarity at SemEval-2012. The First Joint Conference on Lexical and Computational Semantics(*SEM). June 7-8, 2012, Montreal, Canada.
  169. 杨思春,高超,戴新宇,陈家骏，基于词袋绑定的问句新特征自动生成，北京理工大学学报（自然科学版）,2012,32（6）
  170. 杨思春,高超,秦锋,戴新宇,陈家骏，融合基本特征和词袋绑定特征的问句特征模型，中文信息学报，2012,26（5）
  171. 奚宁,李博渊,黄书剑,陈家骏，一种适用于机器翻译的汉语分词方法，中文信息学报，2012,26（3）
  172. 张颖杰,李斌,陈家骏，陈小荷，基于词典信息的先秦汉语全文词义标注方法研究，中文信息学报，2012,26（3）
  173. 刘友强,李斌,奚宁,陈家骏，基于双语平行语料的中文缩略语提取方法，中文信息学报，2012,26（2）
  174. Bin Li, Haibo Kuang, Xiaohe Chen, Xuri Tang, Chen Chen, Construction of a Bilingual Cognitive Property Knowledgebase. International Conference on Computational Intelligence and Security (CIS), Sanya, China, 2011.12.
  175. Bin Li, Jiajun Chen, Xiaohe Chen, Xuri Tang, Weiguang Qu, Sentiment Direction Analysis: A Framework and Resource Construction Method for Chinese Sentiment Computation. International Journal of Knowledge and Language Processing. Vol.2, No.1, 2011.
  176. 贾修一, 李伟湋, 商琳, 陈家骏. 一种自适应求三枝决策中决策阈值的算法,电子学报, 2011, 39 (11): 2520-2525.
  177. Yinggong Zhao, Yangsheng Ji, Ning Xi, Shujian Huang and Jiajun Chen, Language Model Weight Adaptation Based on Cross-entropy for Statistical Machine Translation, PACLIC 2011, 16-18 December 2011, Singapore.
  178. 魏志生，吉阳生，罗春勇，陈家骏，一种加入领域先验知识的产生式情感分类模型，第十一届中国Rough集与软计算学术会议、第五届中国Web智能学术研讨会及第五届中国粒计算学术研讨会联合学术会议(CRSSC-CWI-CGrC2011)，2011年11月18日-20日,南京
  179. Yinggong Zhao, Shujie Liu, Yangsheng Ji, Jiajun Chen and Guodong Zhou. Transductive Minimum Error Rate Training for Statistical Machine Translation. IJCNLP 2011, Chiang Mai, Thailand.
  180. 杨思春,高超,秦锋,戴新宇,陈家骏，融合基本特征和词袋绑定特征的问句特征模型，第七届全国信息检索学术会议(CCIR2011),2011年10月21日-23日,济南
  181. 杨思春,高超,戴新宇,陈家骏,基于SVM的中文查询分类，情报学报,2011,30(9)
  182. 奚宁，赵迎功，汤光超，李中华，刘友强，戴新宇，陈家骏，南京大学第七届机器翻译研讨会评测技术报告，第七届全国机器翻译研讨会（CWMT2011），2011年9月23日-24日，厦门
  183. 奚宁，赵迎功，汤光超，李斌，罗春勇，戴新宇，陈家骏，统计机器翻译中多语言模型的融合，第七届全国机器翻译研讨会（CWMT2011），2011年9月23日-24日，厦门
  184. Xinyu Dai, Jinzhu Jia, Laurent El Ghaoui and Bin Yu. SBA-term: Sparse Bilingual Association for Terms. Proceedings of the 5th IEEE International Conference on Semantic Computing (ICSC 2011), Palo Alto, CA, USA, September 18-21, 2011.
  185. Xiuyi Jia, Weiwei Li, Lin Shang, Jiajun Chen, An optimization viewpoint of decision-theoretic rough set model，RSKT2011, Banff, Canada, 2011, 457-465
  186. 刘友强，李斌，奚宁，陈家骏，基于双语平行语料的中文缩略语提取方法，中国计算语言学研究前沿进展(CNCCL),2011
  187. 贾修一，张亚兵，陈家骏， 商琳，基于粗糙集的共指消解，中国计算语言学研究前沿进展(CNCCL),2011
  188. 张颖杰，李斌，陈家骏， 陈小荷，基于词典的半指导学习古汉语全文词义标注，中国计算语言学研究前沿进展(CNCCL),2011
  189. 吴秋锋，黄书剑，戴新宇， 陈家骏，一种基于句法的用于汉英翻译的预调序方法，中国计算语言学研究前沿进展(CNCCL),2011
  190. 李博渊，奚宁，黄书剑，张建兵， 陈家骏，一种适用于机器翻译的汉语分词方法，中国计算语言学研究前沿进展(CNCCL),2011
  191. Shujian Huang,Stephan Vogel,Jiajun Chen, Dealing with Spurious Ambiguity in Learning ITG-based Word Alignment,Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics:shortpapers, pages 379–383,Portland, Oregon, USA, June 19-24, 2011.
  192. Ning Xi, Guangchao Tang, Boyuan Li, Yinggong Zhao,Word Alignment Combination over Multiple Word Segmentation,Proceedings of the ACL-HLT 2011 Student Session, pages 1–5,Portland, OR, USA 19-24 June 2011.
  193. 贾修一，商琳 陈家骏，决策风险最小化属性约简，计算机科学与探索,2011, 5(2)
  194. Xiuyi Jia，Lin Shang, Jiajun Chen, Xinyu Dai，Incremental versus non-incremental data and algorithms based on ordering relations，International Journal of Computational Intelligence Systems, volume 4. Issue 1. 2011, pp 112-122.
  195. Yangsheng Ji, Jiajun Chen, Gang Niu, Lin Shang, Xinyu Dai，Transfer Learning via Multi-View Principal Component Analysis，JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY(JCST),Vol.26 No.1,2011.
  196. Li Bin, Chen Xiaohe, Tang Xuri. An Investigation of Chinese Selectional Preference Based on HowNet. IEEE:ICGEC-2010, Shenzhen, China.
  197. 张亮，尹存燕，陈家骏, 基于语义树的中文词语相似度计算与分析,中文信息学报,第24卷，第6期，2010年11月。
  198. Shujian Huang, Kangxi Li, Xinyu Dai and Jiajun Chen, Improving Word Alignment by Semi-Supervised Ensemble,Proceedings of the Fourteenth Conference on Computational Natural Language Learning(CoNLL-2010), 15-16 July 2010, Uppsala, Sweden.
  199. Junsheng Zhou, Yabing Zhang, Xinyu Dai, Jiajun Chen, Chinese Event Descriptive Clause Splitting with Structured SVMs, 11th International Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2010, lasi, Romania, March 2010, LNCS 6008, p175~183.
  200. 贾修一，商琳，陈家骏，三值决策理论下的属性约简，《中国人工智能进展：2009》.
  201. Biping MENG, Shujian HUANG, Xinyu DAI, Jiajun CHEN，Segmenting Long Sentence Pairs for Statistical Machine Translation，International Conference on Asian Language Processing (IALP 2009)，Dec 7-9, 2009, Singapore.
  202. Yabing Zhang, Junsheng Zhou, Shujian Huang, Jiajun Chen，Combining ILP and MLN for Coreference Resolution，International Conference on Asian Language Processing (IALP 2009)，Dec 7-9, 2009, Singapore.
  203. Junsheng Zhou, Qian Xu, Jiajun Chen and Weiguang Qu,A Multi-view Approach for Relation Extraction,Proceedings of Web Information Systems and Mining, International Conference, WISM 2009, Shanghai, China, Nov. 7-8, 2009. Lecture Notes in Computer Science 5854 Springer 2009
  204. Xiuyi Jia, Lin Shang, Jiajun Chen, Xinyu Dai. An incremental rule induction algorithm based on ordering relations, Proceedings of the Fourth International Conference on Rough Set and Knowledge Technology(RSKT2009), Australia, July 14-16,2009.
  205. 徐谦，周俊生，陈家骏，Dirichlet 过程及其在自然语言处理中的应用，中文信息学报，第23卷，第5期，2009年9月。
  206. 刘未鹏、周俊生、黄书剑、陈家骏，基于有监督关联聚类的中文共指消解，计算机科学，第36卷，第9期，2009年9月。
  207. 张亮，尹存燕，陈家骏，基于语义树的中文词语相似度计算与分析，全国第十届计算语言学学术会议(CNCCL-2009)，2009年7月24日～26日，烟台；《中国计算语言学研究前沿进展（2007－2009）》，孙茂松、陈群秀主编，北京：清华大学出版社，2009，7。
  208. 刘未鹏，周俊生，黄书剑，陈家骏，中文共指消解中的聚类全局优化，全国第十届计算语言学学术会议(CNCCL-2009) ，2009年7月24日～26日，烟台；《中国计算语言学研究前沿进展（2007－2009）》，孙茂松、陈群秀主编，北京：清华大学出版社，2009，7。
  209. 田宝明，戴新宇，陈家骏，一种基于随机森林的多视角文本分类方法，中文信息学报，第23卷，第4期，2009年7月。
  210. 马若策，戴新宇，陈家骏，决策式中文依存句法分析模型的改进，第七届全国搜索引擎和网上信息挖掘学术研讨会（SEWM2009）,5月22日-24日，大连，广西师范大学学报 （自然科学版），第27卷，第1期，2009年3月。
  211. 黄书剑，奚宁，赵迎功，戴新宇，陈家骏，一种错误敏感的词对齐评价方法，第四届全国机器翻译研讨会（CWMT2008），中文信息学报，第23卷，第3期，2009年5月。
  212. 周俊生，戴新宇，陈家骏，曲维光，基于大间隔方法的汉语组块分析，软件学报，第20卷，第4期，2009年4月。
  213. Shujian Huang, Yabing Zhang, Junsheng Zhou, Jiajun Chen, Coreference resolution using Markov Logic Networks，10th International Conference on Intelligent Text Processing and Computational Linguistics(CICLing-2009), March 1-7, 2009,Mexico City, Mexico, Advances in Computational Linguistics, Alexander Gelbukh(Ed.), Research in Computing Science, Vol. 41, Instituto Politecnico Nacional, Mexico, 2009.
  214. 张建兵，戴新宇，陈家骏，文档分类之特征选择方法的实验比较，第十一届中国机器学习会议（CCML2008），2008年8月3 - 6日, 大连，广西师范大学学报：自然科学版，第26卷，第3期，2008年9月。
  215. 杨思春,王建颖，陈家骏,一种新的概念格属性约简算法，第四届全国信息检索与内容安全学术会议(NCIRCS2008),2008年10月15日-16日,北京
  216. 杨思春,陈家骏,中文自动问答中句子相似度计算研究，情报学报,2008,27(1)
  217. 贾修一，商琳，陈家骏，基于数据浓度的粗糙集规则生成算法分析。广西师范大学学报：自然科学版，第26卷，第3期，2008年9月。
  218. 戴新宇，田宝明，周俊生，陈家骏，一种基于潜在语义分析和直推式谱图算法的文本分类方法LSASGT，电子学报，第36卷，第8期，2008年8月。
  219. 李天侠，戴新宇，陈家骏，一种基于统计和规则相结合的汉语分词交集型歧义消歧策略，第十一届中国机器学习会议（CCML2008），2008年8月3 - 6日, 大连，计算机工程与应用，vol.44, No.21，2008年7月。
  220. 别致，周俊生，陈家骏，基于SVM-Adaboost的中文组块分析，第十一届中国机器学习会议（CCML2008），2008年8月3 - 6日, 大连，计算机工程与应用，vol.44, No.21，2008年7月。
  221. 金自翔，戴新宇，陈家骏，一种基于贪婪算法的KNN参数选择策略，第二届中国Agent理论与应用学术会议（Agent2008），2008年4月18日~20日，南京。广西师范大学学报：自然科学版，2008年，第01期。
  222. 陈怀兴，尹存燕，陈家骏，一种命名实体翻译等价对的抽取方法，中文信息学报 ，第22卷，第4期，2008年7月。
  223. 何亮，戴新宇，周俊生，陈家骏，中心词驱动的汉语统计句法分析模型的改进，中文信息学报 ，第22卷，第4期，2008年7月。
  224. Xinyu Dai, Baoming Tian, Junsheng Zhou, Jiajun Chen, Incorporating Latent Semantic Indexing into Spectral Graph Transducer for Text Classification, Proceeding of the 21st International FLAIRS Conference,15-17th May 2008 in Coconut Grove, Florida, USA
  225. Yangsheng Ji, Lin Shang, Xinyu Dai, Ruoce Ma: Apply a Rough Set-Based Classifier to Dependency Parsing. Proceedings of the Third International Conference on Rough Set and Knowledge Technology (RSKT 2008),Chengdu, China,May 2008,LNAI 5009.
  226. 李元龙，周俊生，陈家骏，一种基于关联聚类的汉语共指消解方法，计算机科学，第34卷，第12期，2007年12月。
  227. Junsheng Zhou, Xinyu Dai, Jiajun Chen, Weiguang Qu. Chinese Relation Extraction Using a New Composite Kernel, Recent Advance of Chinese Computing Technologies. COLIPS Publications, Singapore, 2007.
  228. 周俊生，戴新宇，陈家骏，曲维光, 基于一种新的合成核的中文实体关系自动抽取, 中文计算技术与语言问题研究（第七届中文信息处理国际会议（ICCC2007）论文集，武汉，2007年10月13～15日），电子工业出版社，北京，2007
  229. Zhang Liang, Zhou Lang, Chen Jia-Jun, Structure Analysis and Computation-based Chinese Question Classification, Proceedings of the 6th International Conference on Advanced Language Processing and Web Information Technology (ALPIT 2007), Luoyang, Henan, China, August 22-24, 2007.
  230. 张亮，陈家骏，基于大规模语料库的句法模式匹配研究，中文信息学报，第21卷，第5期，2007年9月。
  231. 张亮，陈家骏，基于大规模语料库的句法模式匹配研究，内容计算的研究与应用前景（全国第九届计算语言学学术会议(JSCL-2007)论文集，大连，2007年8月6日~8日），清华大学出版社，北京，2007年。
  232. 何亮，戴新宇，周俊生，陈家骏，一种结合BaseNP识别的汉语概率句法分析改进模型，内容计算的研究与应用前景（全国第九届计算语言学学术会议(JSCL-2007)论文集，大连，2007年8月6日~8日），清华大学出版社，北京，2007年。
  233. 倪瑞煜，戴新宇，尹存燕，陈家骏，一种基于语料库的日语动词格框架自动构造技术，计算机应用研究，第24卷，第6期，2007年6月。
  234. 周俊生，黄书剑，陈家骏，曲维光，一种基于图划分的无监督汉语指代消解算法，中文信息学报，第21卷，第2期，2007年2月。
  235. 张建华，陈家骏，自然语言生成综述，计算机应用研究，第23卷，第8期，2006年8月。
  236. Zhou Jun-sheng, He Liang, Dai Xin-yu and Chen Jia-jun, Chinese Named Entity Recognition with a Multi-phase Model, Proceedings of the Fifth SIGHAN Workshop on Chinese Language Processing, 22-23,July 2006, Sydney, Australia.
  237. 周俊生，戴新宇，尹存燕，陈家骏，基于层叠条件随机场模型的中文机构名自动识别，电子学报 ，第34卷，第5期，2006年5月。
  238. 陈家骏，戴新宇，尹存燕，王启祥，一个基于格语法和转换策略的日汉机器翻译系统，中文信息学报 ，第20卷，增刊，2006年3月。
  239. 孙明欣，尹存燕，戴新宇，陈家骏，一种基于元规则的自然语言生成规则解释技术，南京大学学报（ 自然科学版），第42卷，第1期，2006年1月。
  240. 尹存燕，戴新宇，陈家骏，Internet上文本的自动摘要技术研究，计算机工程，第32卷，第3期，2006年2月。
  241. Zhou Jun-sheng; Dai Xin-yu; Ni Rui-yu; Chen Jia-jun, A Hybrid Approach to Chinese Word Segmentation around CRFs, Proceedings of the Fourth SIGHAN Workshop on Chinese Language Processing,Jeju Island, Korea, October 14, 2005
  242. 金华兴，戴新宇，陈家骏，可扩展统计分词系统的构造，计算机工程与应用, 第41卷，第23期，2005年8月。
  243. 刘静、尹存燕、陈家骏，一种规则和贝叶斯方法相结合的文本自动分类策略，计算机应用研究，第22卷，第7期，2005年7月。
  244. 胡国全，陈家骏，戴新宇，尹存燕，一种基于实例的汉英机器翻译策略，计算机工程与设计, Vol.26 No.4，2005年4月
  245. 周俊生，戴新宇，尹存燕，陈家骏，自然语言信息抽取中的机器学习方法研究，计算机科学，Vol.32,No.3,2005年3月
  246. 戴新宇，尹存燕，陈家骏，郑国梁，机器翻译研究现状与展望，计算机科学,第31卷，第11期，2004年11月。
  247. 程节华，戴新宇，陈家骏，王启祥，汉英机器翻译中时体态处理，计算机应用研究，第21卷，第3期，2004年3月。
  248. 赵伟，戴新宇，尹存燕，陈家骏，一种规则与统计相结合的汉语分词方法，计算机应用研究，第21卷，第3期，2004年3月。
  249. 郭池，陈家骏，王启祥，一种基于语料库的词义消歧策略，计算机工程与应用，第39卷，第35期，2003年12月。
  250. 戴新宇，陈家骏，王启祥，从汉语格关系表示生成日语，中文信息学报，第17卷，第6期，2003年11月。
  251. 王鹏，戴新宇，陈家骏，王启祥，基于规则的汉语句法分析方法研究，计算机工程与应用，第39卷，第29期，2003年10月。
  252. 杨思春，陈家骏，面向EBMT的汉语句子模式构造，计算机工程与设计，第24卷，第6期，2003年6月。
  253. 张鹏，陈家骏，戴新宇，王启祥，从日语格语法表示生成汉语的难点分析，计算机应用研究，第19卷，第12期，2002年12月。
  254. 戴新宇，陈家骏，王启祥，一种基于汉语格关系表示的日语生成策略，第二届中日自然语言处理专家研讨会论文集，北京大学计算语言学研究所，2002年10月30日－11月2日。
  255. 杨思春，称节华，陈家骏，王启祥，英汉TBMT中模板抽取的改进算法及应用，计算机工程与应用，第38卷，第6期，2002年3月。
  256. 沈逸海，陈家骏，戴新宇，王启祥，一种基于日语格语法表示的英语生成，中文信息学报，第16卷，第2期，2002年2月。
  257. 杨思春，程节华，陈家骏，王启祥，一种基于模式的汉语句子相似度计算方法，微型机与应用，第8期，2001年8月。
  258. 王少春，陈家骏，王启祥，Internet在线翻译浏览器技术探讨，计算机应用研究，第18卷，第1期，2001年1月。
  259. 程节华，杨思春，陈家骏，王启祥，汉英机器翻译中汉语的时态分析，第八届全国青年计算机学术会议(NCYCS'2000)论文集，南京大学学报(自然科学)，第36卷，计算机特刊，2000年10月。
  260. 戴新宇，陈家骏，王启祥，汉日机器翻译中的日语生成规则系统，第八届全国青年计算机学术会议(NCYCS'2000)，南京大学学报(自然科学)，第36卷，计算机特刊，2000年10月。
  261. 陈家骏，沈刚，王启祥，WWW页面语言的自动识别，'99智能计算机接口与应用进展，第四届中国计算机智能接口与智能应用学术会议论文集，高文等主编，电子工业出版社，北京，1999，
  262. Hu Haiwen, Wang Qixiang, Chen Jiajun, Jiang Xing and He Yaming, The Design of Japanese-Chinese Internet Translation Browser, Proceedings of The 2nd International Conference on Multimodal Interface(ICMI'99), Jan. 5-7, 1999, Hong Kong. (国际会议)
  263. Hu Haiwen, He Yaming, Wang Qixiang, Chen Jiajun and Yong Dianshu, The Design and Implementation of Japanese-Chinese Online Translation Browser, Proceedings of 1998 International Conference on Chinese Information Processing(ICCIP'98), Nov. 19-20, 1998, Beijing, China.(国际会议)
  264. 雍殿书，胡海文，陈家骏，王启祥，日汉机器翻译系统中的词典讨论，中文信息学报，第12卷，第3期，1998年6月
  265. 严萍，陈家骏，郑国梁，西文多用户操作系统Mentor Pro中的汉字处理，微型计算机, 1997年，增刊2。
  266. 陈家骏，王启祥，日语自动分词的一种实现算法，微型计算机, 第36卷，第6期，1996年11月。
  267. 陈家骏，王启祥，Windows应用程序中的中、日文输入/输出，中国微计算机学会九届年会会议论文集，1994, 8.
  268. 陈家骏，王启祥，Windows应用程序中的中、日文输入/输出，微型计算机, 第14卷，第4期，1994年7月。
  269. 王启祥，王锡江，雍殿书，陈家骏，用句节间系受关系的日语分析，计算语言学研究与应用，陈力为主编，北京语言学院出版社, 1993.
  270. 王锡江，王启祥，陈家骏，雍殿书，日汉对话翻译系统中的汉语生成，计算语言学研究与应用，陈力为主编，北京语言学院出版社, 1993.
  271. 王锡江，王启祥，陈家骏，基于邻接知识的汉语自动分词系统，计算机研究与发展，Vol. 29(11), 1992, 11.
  272. 雍殿书，王锡江，陈家骏，王启祥，日汉机器翻译系统中的机译词典的设计，第三届中文信息处理国际会议论文集(一), 1992, 10, 26~28, 北京.

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  4. 一种基于多层图的论文推荐方法 ZL201310706651.7 发明专利
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软件著作权

  1. 高考地理试题标注及管理系统V1.0 2016SR199874 软件著作权
  2. 浩译短语翻译解码系统V1.0 2014SR101632 软件著作权
  3. 浩译机器翻译流程控制软件V1.0 2014SR166920 软件著作权
  4. 机器翻译质量评估工具软件V1.0 2018SR502716 软件著作权

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