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    2025
  1. Shaowei Zhang and Deyi Xiong. BackMATH: Towards Backward Reasoning for Solving Math Problems Step by Step. COLING 2025 Industry Track.
  2. Yongqi Leng and Deyi Xiong. Towards Understanding Multi-Task Learning (Generalization) of LLMs via Detecting and Exploring Task-Specific Neurons. COLING 2025. [Best Long Paper]
  3. Yuqi Ren, Renren Jin, Tongxuan Zhang and Deyi Xiong. Do Large Language Models Mirror Cognitive Language Processing? COLING 2025. [Outstanding Paper]
  4. Bojian Jiang, Yi Jing, Tong Wu, Tianhao Shen, Qing Yang and Deyi Xiong. Automated Progressive Red Teaming. COLING 2025.
  5. Weilong Dong, Xinwei Wu, Renren Jin, Shaoyang Xu and Deyi Xiong. CONTRANS: Weak-to-Strong Alignment Engineering via Concept Transplantation. COLING 2025.
  6. Chuang Liu, Renren Jin, Zheng Yao, Tianyi Li, Liang Cheng, Mark Steedman and Deyi Xiong. Study on Data Attributes Insufficiency of Evaluation Benchmarks for LLMs. COLING 2025.
  7. Shaoyang Xu, Yongqi Leng, Linhao Yu and Deyi Xiong. Self-Pluralising Culture Alignment for Large Language Models. NAACL 2025.
  8. Jie He, Yijun Yang, Wanqiu Long, Deyi Xiong, Victor Gutierrez Basulto and Jeff Z. Pan. Evaluating and Improving Graph to Text Generation with Large Language Models. NAACL 2025.
  9. Jiangcun Du, Renren Jin and Deyi Xiong. Quantization for Large Language Models via Progressive Training. 2025 WWW Workshop on Resource-Efficient Learning for the Web. Companion Proceedings of the ACM on Web Conference 2025, 2474-2483.
  10. Linhao Yu, Xingguang Ji, Yahui Liu, Fanheng Kong, Chenxi Sun, Jingyuan Zhang, Hongzhi Zhang, Wei Bi, Fuzheng Zhang, Deyi Xiong. Multimodal Large Language Models on Video Captioning via Monte Carlo Tree Search. ACL 2025.
  11. Yongqi Leng, Renren Jin, Yue chen, Zhuowen Han, Ling Shi, Jianxiang Peng, Lei Yang, Juesi Xiao, Deyi Xiong. A Fine-Grained Generative LLM Evaluator with Instance-Level Customizable Evaluation Criteria. ACL 2025.
  12. Ling Shi, Deyi Xiong. CRiskEval: A Chinese Multi-Level Risk Evaluation Benchmark Dataset for Large Language Models. ACL 2025.
  13. Tianyu Dong, Bo Li, Jinsong Liu, shaolin Zhu, Deyi Xiong. MLAS-LoRA: Language-Aware Parameters Detection and LoRA-Based Knowledge Transfer for Multilingual Machine Translation. ACL 2025.
  14. Zhigen Li, Jianxiang Peng, Yanmeng Wang, Yong Cao, Tianhao Shen, Minghui Zhang, Linxi Su, Shang Wu, Yihang Wu, YuQian Wang, Ye Wang, Wei Hu, Jianfeng Li, Shaojun Wang, Jing Xiao, Deyi Xiong. ChatSOP: An SOP-Guided MCTS Planning Framework for Controllable LLM Dialogue Agents. ACL 2025.
  15. Shaowei Zhang, Deyi Xiong. Debate4MATH: Multi-Agent Debate for Fine-Grained Reasoning in Math. ACL 2025 Findings.
  16. Junru Wu, Tianhao Shen, Linxi Su, Deyi Xiong. C2RBench: A Chinese Complex Reasoning Benchmark for Large Language Models. ACL 2025 Findings.
  17. Supryadi, Chuang Liu, Deyi Xiong. ReproHum #0067-01: A Reproduction of the Evaluation of Cross-Lingual Summarization. ACL 2025 Workshop GEM.
  18. Jianxiang Peng, Ling Shi, Xinwei Wu, Hanwen Zhang, Fujiang Liu, Haocheng Lyu, Deyi Xiong. DiplomacyAgent: Do LLMs Balance Interests and Ethical Principles in International Events? EMNLP 2025.
  19. Zhuowen Han, Xinwei Wu, Dan Shi, Renren Jin, Deyi Xiong. Towards a Unified Paradigm of Concept Editing in LLM. EMNLP 2025.
  20. Lei Yang, Shaoyang Xu, Jianxiang Peng, shaolin Zhu, Deyi Xiong. DCIS: Efficient Length Extrapolation of LLMs via Divide-and-Conquer Scaling Factor Search. EMNLP 2025.
  21. Yan Liu, Minghui Zhang, Bojian Xiong, Yifan Xiao, Yinong Sun, Yating Mei, Longyu Zeng, Jingchao Yang, Yang Wang, Deyi Xiong. HighMATH: Evaluating Math Reasoning of Large Language Models in Breadth and Depth. EMNLP 2025.
  22. Guohong Li, Deyi Xiong. Towards Optimal Evaluation Efficiency for Large Language Models. EMNLP 2025.
  23. Shaolin Zhu, Jian Dong, Deyi Xiong. A Survey of Multilingual Neural Machine Translation Based on Sparse Models. Tsinghua Science and Technology 30 (6), 2399-2418.
  24. Shaolin Zhu, Lei Pan, Jian Dong, Deyi Xiong. Overcoming language barriers via machine translation with sparse Mixture-of-Experts fusion of large language models. Information Processing & Management 62 (3), 104078.
  25. Yan Liu, RenRen Jin, Tianhao Shen, Deyi Xiong. CMGBench: Benchmarking Chinese Metaphor Generation for Large Language Models. Data Intelligence 2025.
  26. Hongfei Xu, Zhuofei Liang, Josef van Genabith, Deyi Xiong, Hongying Zan, Qiuhui Liu, Tengxun Zhang. Very-Long-Distance Dependency Capturing Evaluation via Language Modeling based on Gender Consistency. NLPCC 2025.
  27. Yongqi Leng, Yikun Lei, Xikai Liu, Meizhi Zhong, Bojian Xiong, Yurong Zhang, Yan Gao, YIWU, Yao Hu, Deyi Xiong. DecEx-RAG: Boosting Agentic Retrieval-Augmented Generation with Decision and Execution Optimization via Process Supervision. EMNLP 2025 Industry Track.
  28. Bojian Xiong, Yikun Lei, Xikai Liu, Shaowei Zhang, Pengyun Zhu, Yan Liu, Yongqi Leng, Ling Shi, Meizhi Zhong, Yurong Zhang, Yan Gao, YIWU, Yao Hu, Deyi Xiong. Think-Search-Patch: A Retrieval-Augmented Reasoning Framework for Repository-Level Code Repair. EMNLP 2025 Industry Track.
  29. Jiangfeng Shen, Yuqi Ren, Ziyong Mao, Qiuxiang Hu, Yilong Wan, Jiangcun Du, Yanting Lai, Shengxiang Shao, Liuqing Zhang, Hao Wu, Jiaxi Li, Sheng Ju, Xin Tong, Jun Zhao, Lei Cao, Deyi Xiong, ChengCheng Xu, Jun-Chi Xu & Dong Jiang. Improved circulating tumor DNA identification for detection of esophageal squamous cell carcinoma by enzymatic methyl sequencing and hybrid neural network. Scientific Reports volume 15, Article number: 33004 (2025).
  30. Yan Liu, Renren Jin, Ling Shi, Zheng Yao and Deyi Xiong. FineMath: A Fine-Grained Mathematical Evaluation Benchmark for Chinese Large Language Models. Accepted by ACM Transactions on Asian and Low-Resource Language Information Processing.
  31. Xinwei Wu, Weilong Dong, Renren Jin and Deyi Xiong. Machine Unlearning for LLM Privacy Protection with Feature-Level Anonymization Activation Steering. Accepted by TACL. [Journal Final Version Submitted]

    32. 2024
  32. Xiaohu Zhao, Haoran Sun, Yikun Lei, Deyi Xiong. Regularizing cross-attention learning for end-to-end speech translation with ASR and MT attention matrices. Expert Systems With Applications. 2024.
  33. Zhengshan Xue, Tingxun Shi, Xiaolei Zhang, Deyi Xiong. Speaker voice normalization for end-to-end speech translation. Expert Systems With Applications. 2024.
  34. Dan Shi, Chaobin You, Jiantao Huang, Taihao Li, Deyi Xiong. CORECODE: A Common Sense Annotated Dialogue Dataset with Benchmark Tasks for Chinese Large Language Models. AAAI 2024.
  35. Yu Fu, Deyi Xiong, Yue Dong. Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy. AAAI 2024.
  36. Minghui Xu, Zishan Guo, Yulong Zeng and Deyi Xiong. Enhanced Transfer Learning with Efficient Modeling and Adaptive Fusion of Knowledge via Prompt Tuning. ICASSP 2024.
  37. Hao Wang, Zhengshan Xue, Yikun Lei and Deyi Xiong. End-to-end speech translation with mutual knowledge distillation. ICASSP 2024.
  38. Hongfei Xu, Yang Song, Qiuhui Liu, Josef van Genabith and Deyi Xiong. Rewiring the Transformer with Depth-Wise LSTMs. LREC-COLING 2024.
  39. Supryadi Supryadi, Leiyu Pan and Deyi Xiong. An Empirical Study on the Robustness of Massively Multilingual Neural Machine Translation. LREC-COLING 2024.
  40. Chuang Liu, Renren Jin, Yuqi Ren and Deyi Xiong. LHMKE: A Large-scale Holistic Multi-subject Knowledge Evaluation Benchmark for Chinese Large Language Models. LREC-COLING 2024.
  41. Shaolin Zhu, Menglong Cui and Deyi Xiong. Towards Robust In-Context Learning for Machine Translation with Large Language Models. LREC-COLING 2024. [Outstanding Paper]
  42. Leiyu Pan, Yongqi Leng and Deyi Xiong. Can Large Language Models Learn Translation Robustness from Noisy-Source In-context Demonstrations? LREC-COLING 2024.
  43. Chenxi Sun, Hongzhi Zhang, Zijia Lin, Jingyuan Zhang, Fuzheng Zhang, Zhongyuan Wang, Bin Chen, Chengru Song, Di Zhang, Kun Gai and Deyi Xiong. Decoding at the Speed of Thought: Harnessing Parallel Decoding of Lexical Unit for LLMs. LREC-COLING 2024.
  44. Yufei Huang and Deyi Xiong. CBBQ: A Chinese Bias Benchmark Dataset Curated with Human-AI Collaboration for Large Language Models. LREC-COLING 2024.
  45. Linhao Yu, Qun Liu and Deyi Xiong. LFED: A Literary Fiction Evaluation Dataset for Large Language Models. LREC-COLING 2024.
  46. Yufei Huang and Deyi Xiong. IT2ACL Learning Easy-to-Hard Instructions via 2-phase Automated Curriculum Learning for Large Language Models. LREC-COLING 2024.
  47. Xinwei Wu, Weilong Dong, Shaoyang Xu and Deyi Xiong. Mitigating Privacy Seesaw in Large Language Models: Augmented Privacy Neuron Editing via Activation Patching. ACL Findings 2024.
  48. Menglong Cui, Jiangcun Du, shaolin Zhu and Deyi Xiong. Efficiently Exploring Large Language Models for Document-Level Machine Translation with In-context Learning. ACL Findings 2024.
  49. Linhao Yu, Yongqi Leng, Yufei Huang, Shang Wu, Haixin Liu, Xinmeng Ji, Jiahui Zhao, Jinwang Song, Tingting Cui, Xiaoqing Cheng, Tao Liu and Deyi Xiong. CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models. ACL Findings 2024.
  50. Renren Jin, Jiangcun Du, Wuwei Huang, Wei Liu, Jian Luan, Bin Wang and Deyi Xiong. A Comprehensive Evaluation of Quantization Strategies for Large Language Models. ACL Findings 2024.
  51. Shaolin Zhu, Leiyu Pan, Bo Li and Deyi Xiong. LANDeRMT: Dectecting and Routing Language-Aware Neurons for Selectively Finetuning LLMs to Machine Translation. ACL 2024.
  52. Zishan Guo, Yufei Huang and Deyi Xiong. CToolEval: A Chinese Benchmark for LLM-Powered Agent Evaluation in Real-World API Interactions. ACL Findings 2024.
  53. Chuang Liu, Linhao Yu, Jiaxuan Li, Renren Jin, Yufei Huang, Ling Shi, Junhui Zhang, Xinmeng Ji, Tingting Cui, Tao Liu, Jinwang Song, Hongying ZAN, Sun Li and Deyi Xiong. OpenEval: Benchmarking Chinese LLMs across Capability, Alignment and Safety. ACL 2024 Demo.
  54. Shaolin Zhu, Leiyu Pan, Deyi Xiong. FEDS-ICL: Enhancing translation ability and efficiency of large language model by optimizing demonstration selection. Information Processing & Management 61 (5), 103825.
  55. Shaolin Zhu, Shangjie Li, Deyi Xiong. VisTFC: Vision-guided target-side future context learning for neural machine translation. Expert Systems with Applications 249, 123411.
  56. Xiaohua Xing, Yuqi Ren, Die Zou, Qiankun Zhang, Bingxuan Mao, Jianquan Yao, Deyi Xiong, Liang Wu. Interdisciplinary analysis and optimization of digital photonic devices for meta-photonics. Iscience 27 (6).
  57. Xiaohua Xing, Yuqi Ren, Die Zou, Qiankun Zhang, Bingxuan Mao, Jianquan Yao, Deyi Xiong, Liang Wu. Enhanced spectrum prediction using deep learning models with multi-frequency supplementary inputs. APL Machine Learning 2 (2).
  58. Xiaohua Xing, Yuqi Ren, Die Zou, Qiankun Zhang, Bingxuan Mao, Jianquan Yao, Deyi Xiong, Liang Wu. Meta-photonics: A bridge between physical association and digital models in photonics. Applied Physics Letters 124 (18).
  59. Shaolin Zhu, Shiwei Gu, Shangjie Li, Lin Xu, Deyi Xiong. Mining parallel sentences from internet with multi-view knowledge distillation for low-resource language pairs. Knowledge and Information Systems 66 (1), 187-209.
  60. Chuang Liu, Renren Jin, Mark Steedman, Deyi Xiong. Evaluating Chinese Large Language Models on Discipline Knowledge Acquisition via Assessing Memorization and Robustness. Proceedings of the first workshop on data contamination (CONDA), pages 1-12.
  61. Yan Liu, Longyue Wang, Zhaopeng Tu and Deyi Xiong. Reassessing Non-autoregressive Neural Machine Translation with a Fine-grained Error Taxonomy. ECAI 2024.
  62. Chaobin You and Deyi Xiong. TCLNet: Turn-level contrastive learning network with reranking for dialogue state tracking. Knowledge-based systems, 112308.
  63. Dan Shi, Renren Jin, Tianhao Shen, Weilong Dong, Xinwei Wu, Deyi Xiong. IRCAN: Mitigating Knowledge Conflicts in LLM Generation via Identifying and Reweighting Context-Aware Neurons. NeurIPS 2024.
  64. Hang Zhou, Yehui Tang, Haochen Qin, Yujie Yang, Renren Jin, Deyi Xiong, Kai Han, Yunhe Wang. Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning. NeurIPS 2024.
  65. Shaoyang Xu, Weilong Dong, Zishan Guo, Xinwei Wu, Deyi Xiong. Exploring Multilingual Concepts of Human Values in Large Language Models: Is Value Alignment Consistent, Transferable and Controllable across Languages? EMNLP 2024 Findings.
  66. Haoran Sun, Renren Jin, Shaoyang Xu, Leiyu Pan, Supryadi, Menglong Cui, Jiangcun Du, Yikun Lei, Lei Yang, Ling Shi, Juesi Xiao, shaolin Zhu, Deyi Xiong. FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data. EMNLP 2024 Industry Track.
  67. Shaolin Zhu, Supryadi, Shaoyang Xu, Haoran Sun, Leiyu Pan, Menglong Cui, Jiangcun Du, Renren Jin, António Branco, Deyi Xiong. Multilingual Large Language Models: A Systematic Survey. arXiv:2411.11072.

    68. 2023
  68. Zhiyuan Zeng, Deyi Xiong. SCoMoE: Efficient Mixtures of Experts with Structured Communication. ICLR 2023.
  69. Wuwei Huang，Renren Jin，Wen Zhang，Jian Luan，Bin Wang，Deyi Xiong. Joint Training and Decoding for Multilingual End-to-End Simultaneous Speech Translation. ICASSP 2023.
  70. Zhiyuan Zeng and Deyi Xiong. Unsupervised and Few-Shot Parsing from Pretrained Language Models (Extended Abstract). Accepted at the journal track of the 32nd International Joint Conference on Artificial Intelligence (IJCAI-2023).
  71. Shaolin Zhu, Shangjie Li, Yikun Lei and Deyi Xiong. PEIT: Bridging the Modality Gap with Pre-trained Models for End-to-End Image Translation. ACL 2023.
  72. Yuqi Ren and Deyi Xiong. HuaSLIM: Human Attention Motivated Shortcut Learning Identification and Mitigation for Large Language models. Findings of ACL 2023.
  73. Yikun Lei, Zhengshan Xue, Xiaohu Zhao, Haoran Sun, Shaolin Zhu, Xiaodong Lin and Deyi Xiong. CKDST: Comprehensively and Effectively Distill Knowledge from Machine Translation to End-to-End Speech Translation. Findings of ACL 2023.
  74. Mehrad Moradshahi, Tianhao Shen, Kalika Bali, Monojit Choudhury, Gael de Chalendar, Anmol Goel, Sungkyun Kim, Prashant Kodali, Ponnurangam Kumaraguru, Nasredine Semmar, Sina Semnani, Jiwon Seo, Vivek Seshadri, Manish Shrivastava, Michael Sun, Aditya Yadavalli, Chaobin You, Deyi Xiong and Monica Lam. X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents. Findings of ACL 2023.
  75. Chuang Liu, Junzhuo Li and Deyi Xiong. Tab-CQA: A Tabular Conversational Question Answering Dataset on Financial Reports. ACL 2023 Industry Track.
  76. Hang Zhou, Xiaoxu Zheng, Yunhe Wang, Michael Mi, Deyi Xiong, Kai Han. GhostRNN: Reducing State Redundancy in RNN with Cheap Operations. INTERSPEECH 2023.
  77. Hongyang Chang, Hongfei Xu, Josef van Genabith, Deyi Xiong, Hongying Zan. JoinER-BART: Joint Entity and Relation Extraction with Constrained Decoding, Representation Reuse and Fusion. IEEE/ACM Transactions on Audio, Speech, and Language Processing 2023.
  78. Zhengshan Xue, Xiaolei Zhang, Tingxun Shi, Deyi Xiong. DetTrans: A Lightweight Framework to Detect and Translate Noisy Inputs Simultaneously. IEEE/ACM Transactions on Audio, Speech, and Language Processing 2023.
  79. Zhenzhong Deng; Yongkun Ji; Bing Han; Zhongming Tan; Yuqi Ren; Jinghan Gao; Nan Chen; Cong Ma; Yichi Zhang; Yunhai Yao; Hong Lu; Heqing Huang; Midie Xu; Lei Chen; Leizhen Zheng; Jianchun Gu; Deyi Xiong; Jianxin Zhao; Jinyang Gu; Zutao Chen; Ke Wang. Early detection of hepatocellular carcinoma via no end-repair enzymatic methylation sequencing of cell-free DNA and pre-trained neural network. Genome Medicine 2023.
  80. Shaolin Zhu, Shiwei Gu, Shangjie Li, Lin Xu, Deyi Xiong. Mining parallel sentences from internet with multi-view knowledge distillation for low-resource language pairs. Knowledge and Information Systems 2023.
  81. Xinwei Wu, Junzhuo Li, Minghui Xu, Weilong Dong, Shuangzhi Wu, Chao Bian, Deyi Xiong. DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models. EMNLP 2023.
  82. Shangjie Li, Xiangpeng Wei, shaolin Zhu, Jun Xie, Baosong Yang, Deyi Xiong. MMNMT: Modularizing Multilingual Neural Machine Translation with Flexibly Assembled MoE and Dense Blocks. EMNLP 2023.
  83. Zishan Guo, Linhao Yu, Minghui Xu, Renren Jin, Deyi Xiong. CS2W: A Chinese Spoken-to-Written Style Conversion Dataset with Multiple Conversion Types. EMNLP 2023.
  84. Shaoyang Xu, Junzhuo Li, Deyi Xiong. Language Representation Projection: Can We Transfer Factual Knowledge across Languages in Multilingual Language Models? EMNLP 2023.
  85. Yu Fu, Deyi Xiong, Yue Dong. Inverse Reinforcement Learning for Text Summarization. EMNLP 2023 Findings.
  86. Leiyu Pan, Supryadi, Deyi Xiong. Is Robustness Transferable across Languages in Multilingual Neural Machine Translation? EMNLP 2023 Findings.
  87. Haoran Sun, Xiaohu Zhao, Yikun Lei, shaolin Zhu, Deyi Xiong. Towards a Deep Understanding of Multilingual End-to-End Speech Translation. EMNLP 2023 Findings.
  88. Xiaohu Zhao, Haoran Sun, Yikun Lei, shaolin Zhu, Deyi Xiong. CCSRD: Content-Centric Speech Representation Disentanglement Learning for End-to-End Speech Translation. EMNLP 2023 Findings.
  89. Tianhao Shen, Renren Jin, Yufei Huang, Chuang Liu, Weilong Dong, Zishan Guo, Xinwei Wu, Yan Liu, Deyi Xiong. Large Language Model Alignment: A Survey. arXiv:2309.15025. 2023.
  90. Zishan Guo, Renren Jin, Chuang Liu, Yufei Huang, Dan Shi, Supryadi, Linhao Yu, Yan Liu, Jiaxuan Li, Bojian Xiong, Deyi Xiong. Evaluating Large Language Models: A Comprehensive Survey. arXiv:2310.19736. 2023.

    91. 2022
  91. Yuqi Ren, Deyi Xiong. Bridging between Cognitive Processing Signals and Linguistic Features via a Unified Attentional Network. AAAI 2022.
  92. Zhiyuan Zeng, Deyi Xiong. Unsupervised and Few-Shot Parsing from Pretrained Language Models. Artificial Intelligence, 103665.
  93. Erguang Yang, Mingtong Liu, Deyi Xiong, Yujie Zhang, Yao Meng, Jinan Xu, Yufeng Chen. Improving Generation Diversity via Syntax-Controlled Paraphrasing. Neurocomputing 2022.
  94. Dexin Wang, Kai Fan, Boxing Chen, Deyi Xiong. Efficient Cluster-based k-Nearest-Neighbor Machine Translation. ACL 2022.
  95. Yifei Luo, Minghui Xu, Deyi Xiong. CogTaskonomy: Cognitively Inspired Task Taxonomy Is Beneficial to Transfer Learning in NLP. ACL 2022.
  96. Junzhuo Li and Deyi Xiong. KaFSP: Knowledge-Aware Fuzzy Semantic Parsing for Conversational Question Answering over a Large-Scale Knowledge Base. ACL 2022.
  97. Linjuan Wu, Shaojuan Wu, Xiaowang Zhang, Deyi Xiong, Shizhan Chen, Zhiqiang Zhuang, Zhiyong Feng. Learning Disentangled Semantic Representations for Zero-Shot Cross-Lingual Transfer in Multilingual Machine Reading Comprehension. ACL 2022.
  98. Xinwei Wu, Li Gong, Deyi Xiong. Adaptive Differential Privacy for Language Model Training. FL4NLP@ACL 2022.
  99. Erguang Yang, Chenglin Bai, Deyi Xiong, Yujie Zhang, Yao Meng, Jinan Xu, Yufeng Chen. Learning Structural Information for Syntax-Controlled Paraphrase Generation. NAACL 2022.
  100. Wenjie Hao, Hongfei Xu, Deyi Xiong, Hongying Zan and Lingling Mu. ParaZh-22M: A Large-Scale Chinese Parabank via Machine Translation. COLING 2022.
  101. Yikun Lei, Yuqi Ren and Deyi Xiong. CoDoNMT: Modeling Cohesion Devices for Document-Level Neural Machine Translation. COLING 2022.
  102. Renren Jin and Deyi Xiong. Informative Language Representation Learning for Massively Multilingual Neural Machine Translation. COLING 2022.
  103. Haoran Sun and Deyi Xiong. Language Branch Gated Multilingual Neural Machine Translation. COLING 2022.
  104. Huibin Ge, Xiaohu Zhao, Chuang Liu, Yulong Zeng, Qun Liu, Deyi Xiong. TGEA 2.0: A Large-Scale Diagnostically Annotated Dataset with Benchmark Tasks for Text Generation of Pretrained Language Models. NeurIPS 2022 Datasets and Benchmarks.
  105. Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bernd Bohnet, Bingsheng Yao, Bryan Wilie, Chandra Bhagavatula, Craig Thomson, Cristina Garbacea, Dakuo Wang, Daniel Deutsch, Deyi Xiong, Di Jin, Dimitra Gkatzia, Dragomir Radev, Elizabeth Clark, Esin Durmus, Faisal Ladhak, Filip Ginter, Genta Indra Winata, Hendrik Strobelt, Hiroaki Hayashi, Jekaterina Novikova, Jenna Kanerva, Jenny Chim, Jiawei Zhou, João Sedoc, Jordan Clive, Joshua Maynez, Juraj Juraska, Kaustubh Dhole, Khyathi Raghavi Chandu, Laura Perez-Beltrachini, Leonardo F. R. Ribeiro, Lewis Tunstall, Li Zhang, Mahima Pushkarna, Mathias Creutz, Michael White, Mihir Kale, Moussa Kamal Eddine, Nico Daheim, Nishant Subramani, Ondřej Dušek, Paul Pu Liang, Pawan Sasanka Ammanamanchi, Qi Zhu, Ratish Puduppully, Reno Kriz, Rifat Shahriyar, Ronald Ahmed Cardenas, Saad Mahamood, Salomey Osei, Samuel Cahyawijaya, Sanja Stajner, Sebastien Montella, Shailza Jolly, Simon Mille, Tahmid Hasan, Tianhao Shen, Tosin Adewumi, Vikas Raunak, Vipul Raheja, Vitaly Nikolaev, Vivian Tsai, Yacine Jernite, Ying Xu, Yisi Sang, Yixin Liu and Yufang Hou. GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. EMNLP 2022 Demo.
  106. Qian Cao, Deyi Xiong, Qinlong Wang and Xia Peng. CoCoID: Learning Contrastive Representations and Compact Clusters for Semi-Supervised Intent Discovery. EMNLP 2022 industry track.
  107. Tianhao Shen, Mingtong Liu, Ming Zhou and Deyi Xiong. Recovering Gold from Black Sand: Multilingual Dense Passage Retrieval with Hard and False Negative Samples. EMNLP 2022.
  108. Erguang Yang, Mingtong Liu, Deyi Xiong, YUJIE ZHANG, Yufeng Chen and Jinan Xu. Long Text Generation with Topic-aware Discrete Latent Variable Model. EMNLP 2022.
  109. Jiazuo Qiu and Deyi Xiong. Generating Questions for Abstractive Answers with a Multi-Channel Fusion Encoder-Decoder Model. IALP 2022.
  110. Haoran Sun, Yikun Lei and Deyi Xiong. Multilingual Neural Machine Transliteration with Adaptive Segmentation Schemes. IALP 2022.
  111. Shuaibo Wang, Yufeng Chen, Songming Zhang, Deyi Xiong and Jinan Xu. Adversarially Improving NMT Robustness to ASR Errors with Confusion Sets. AACL 2022.
  112. Jie He, Wanqiu Long and Deyi Xiong. Evaluating Discourse Cohesion in Pre-trained Language Models. CODI 2022.

    113. 2021
  113. Erguang Yang, Mingtong Liu, Deyi Xiong, YUJIE ZHANG, Yao Meng, Changjian Hu, Jinan Xu and Yufeng Chen. Syntactically-Informed Unsupervised Paraphrasing with Non-Parallel Data. EMNLP 2021.
  114. Huibin Ge, Chenxi Sun, Deyi Xiong and Qun Liu. Chinese WPLC: A Chinese Dataset for Evaluating Pretrained Language Models on Word Prediction Given Long-Range Context. EMNLP 2021.
  115. Jiachen Tian, Shizhan Chen, Xiaowang Zhang, Zhiyong Feng, Deyi Xiong, Shaojuan Wu and Chunliu Dou. Difficult Samples Re-embedding via Mutual Information Constrained Semantically Oversampling. EMNLP 2021.
  116. Hongfei Xu, Qiuhui Liu, Josef van Genabith and Deyi Xiong. Learning Hard Retrieval Decoder Attention for Transformers. Findings of EMNLP 2021.
  117. Tao Wang, Chengqi Zhao, Mingxuan Wang, Lei Li, Hang Li, Deyi Xiong. Secoco: Self-Correcting Encoding for Neural Machine Translation. Findings of EMNLP 2021.
  118. Shiqi Zhang, Yan Liu, Deyi Xiong, Pei Zhang, Boxing Chen. Domain-Aware Self-Attention for Multi-Domain Neural Machine Translation. INTERSPEECH 2021.
  119. Yuqi Ren and Deyi Xiong. CogAlign: Learning to Align Textual Neural Representations to Cognitive Signals. ACL 2021.
  120. Jie He, Bo Peng, Yi Liao, Qun Liu and Deyi Xiong. TGEA: An Error-Annotated Dataset and Benchmark Tasks for Text Generation from Pretrained Language Models. ACL 2021.
  121. Hongfei Xu, Qiuhui Liu, Josef van Genabith, Deyi Xiong and Meng Zhang. Multi-Head Highly Parallelized LSTM Decoder for Neural Machine Translation. ACL 2021.
  122. Hongfei Xu, Qiuhui Liu, Josef van Genabith and Deyi Xiong. Modeling Task-Aware MIMO Cardinality for Efficient Multilingual Neural Machine Translation. ACL 2021.
  123. Zhiyuan Zeng and Deyi Xiong. An Empirical Study on Adversarial Attack on NMT: Languages and Positions Matter. ACL 2021.
  124. Kaiyu Huang, Junpeng Liu, Degen Huang, Deyi Xiong, Zhuang Liu and Jinsong Su. Enhancing Chinese Word Segmentation via Pseudo Labels for Practicability. Findings of ACL 2021.
  125. Wuwei Huang, Dexin Wang and Deyi Xiong. AdaST: Dynamically Adapting Encoder States in the Decoder for End-to-End Speech-to-Text Translation. Findings of ACL 2021.
  126. Dexin Wang and Deyi Xiong. Efficient Object-Level Visual Context Modeling for Multimodal Machine Translation: Masking Irrelevant Objects Helps Grounding. AAAI 2021.
  127. Jun Quan, Meng Yang, Qiang Gan, Deyi Xiong, Yiming Liu, Yuchen Dong, Fangxin Ouyang, Jun Tian, Ruiling Deng, Yongzhi Li, Yang Yang, Daxin Jiang. Integrating Pre-trained Models into Rule-based Dialogue Management. AAAI 2021.
  128. Hongfei Xu, Josef van Genabith, Qiuhui Liu, Deyi Xiong. Probing Word Translations in the Transformer and Trading Decoder for Encoder Layers. NAACL 2021.
  129. Tao Wang, Chengqi Zhao, Mingxuan Wang, Lei Li and Deyi Xiong. Autocorrect in the Process of Translation --- Multi-task Learning Improves Dialogue Machine Translation. NAACL 2021.
  130. Wenjie Qin, Xiang Li, Yuhui Sun, Deyi Xiong, Jianwei Cui, Bin Wang. Modeling Homophone Noise for Robust Neural Machine Translation. ICASSP 2021.
  131. Jinsong Su, Jialong Tang, Hui Jiang, Ziyao Lu, Yubin Ge, Linfeng Song, Deyi Xiong, Le Sun, Jiebo Luo. Enhanced aspect-based sentiment analysis models with progressive self-supervised attention learning. Artificial Intelligence. 2021.

    132. 2020
  132. Xu Cao, Deyi Xiong, Chongyang Shi, Chao Wang, Yao Meng and Changjian Hu. Balanced Joint Adversarial Training for Robust Intent Detection and Slot Filling. COLING 2020.
  133. Mingtong Liu, Erguang Yang, Deyi Xiong, Yujie Zhang, Yao Meng, Changjian Hu, Jinan Xu and Yufeng Chen. A Learning-Exploring Method to Generate Diverse Paraphrases with Multi-Objective Deep Reinforcement Learning. COLING 2020.
  134. Yufang Huang, Wentao Zhu, Deyi Xiong, Yiye Zhang, Changjian Hu and Feiyu Xu. Cycle-Consistent Adversarial Autoencoders for Unsupervised Text Style Transfer. COLING 2020.
  135. Jun Quan, Shian Zhang, Qian Cao, Zizhong Li, and Deyi Xiong. RiSAWOZ: A Large-Scale Multi-Domain Wizard-of-Oz Dataset with Rich Semantic Annotations for Task-Oriented Dialogue Modeling. EMNLP 2020.
  136. Wanqiu Long, Bonnie Webber and Deyi Xiong. TED-CDB: A Large-Scale Chinese Discourse Relation Dataset on TED Talks. EMNLP 2020.
  137. Jie He, Tao Wang, Deyi Xiong and Qun Liu. The Box is in the Pen: Evaluating Commonsense Reasoning in Neural Machine Translation. Findings of EMNLP 2020.
  138. Hongfei Xu, Josef van Genabith, Deyi Xiong, Qiuhui Liu, Jingyi Zhang. Learning Source Phrase Representations for Neural Machine Translation. ACL 2020.
  139. Hongfei Xu, Qiuhui Liu, Josef van Genabith, Deyi Xiong, Jingyi Zhang. Lipschitz Constrained Parameter Initialization for Deep Transformers. ACL 2020.
  140. Hongfei Xu, Josef van Genabith, Deyi Xiong, Qiuhui Liu. Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change. ACL 2020.
  141. Jun Quan and Deyi Xiong. Modeling Long Context for Task-Oriented Dialogue State Generation. ACL 2020.
  142. Hongfei Xu, Josef van Genabith, Deyi Xiong, Qiuhui Liu. Efficient Context-Aware Neural Machine Translation with Layer-Wise Weighting and Input-Aware Gating. IJCAI-PRICAI 2020.
  143. Mingtong Liu, Erguang Yang, Deyi Xiong, Yujie Zhang, Chen Sheng, Changjian Hu, Jinan Xu, Yufeng Chen. Exploring Bilingual Parallel Corpora for Syntactically Controllable Paraphrase Generation. IJCAI-PRICAI 2020.
  144. Biao Zhang, Deyi Xiong, Jun Xie, Jinsong Su. Neural Machine Translation With GRU-Gated Attention Model. IEEE Transactions on Neural Networks and Learning Systems. 2020. DOI: 10.1109/TNNLS.2019.2957276.
  145. Qian Cao, Shaohui Kuang and Deyi Xiong. Learning to Reuse Translations: Guiding Neural Machine Translation with Examples. ECAI 2020.
  146. Pei Zhang, Xu Zhang, Wei Chen, Jian Yu, Yanfeng Wang and Deyi Xiong. Learning Contextualized Sentence Representations for Document-Level Neural Machine Translation. ECAI 2020.
  147. Wanqiu Long, Xinyi Cai, James E.M.Reid, Bonnie Webber and Deyi Xiong. Shallow Discourse Annotation for Chinese TED Talks. LREC 2020.

    148. 2019
  148. Jun Quan, Deyi Xiong, Bonnie Webber and Changjian Hu. GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialogue. EMNLP 2019.
  149. Yimin Jing, Deyi Xiong and Zhen Yan. BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels. EMNLP 2019.
  150. Xin Tan, Longyin Zhang, Deyi Xiong and Guodong Zhou. Hierarchical Modeling of Global Context for Document-Level Neural Machine Translation. EMNLP 2019.
  151. Jiazuo Qiu and Deyi Xiong. Generating Highly Relevant Questions. EMNLP 2019.
  152. Biao Zhang, Deyi Xiong, Jinsong Su, Jiebo Luo. Future-Aware Knowledge Distillation for Neural Machine Translation. IEEE/ACM Trans. Audio, Speech & Language Processing, 2019.
  153. Xin Tan, Shaohui Kuang, Deyi Xiong. Detecting and Translating Dropped Pronouns in Neural Machine Translation. Proceedings of the Natural Language Processing and Chinese Computing, 2019.
  154. Rodrigo Santos, João Silva, António Branco, Deyi Xiong. The Direct Path May Not Be The Best: Portuguese-Chinese Neural Machine Translation. Proceedings of the Progress in Artificial Intelligence, 2019.

    155. 2018
  155. Biao Zhang, Deyi Xiong, Jinsong Su. 2018. Neural Machine Translation with Deep Attention. IEEE Transactions on Pattern Analysis and Machine Intelligence.
  156. Biao Zhang, Deyi Xiong, Jinsong Su, Yue Qin. 2018. Alignment-Supervised Bidimensional Attention-Based Recursive Autoencoders for Bilingual Phrase Representation. IEEE transactions on cybernetics.
  157. Jinsong Su, Biao Zhang, Deyi Xiong, Yang Liu, Min Zhang. 2018. Alignment-consistent recursive neural networks for bilingual phrase embeddings. Knowledge-Based Systems.
  158. Jinsong Su, Jiali Zeng, Deyi Xiong, Yang Liu, Mingxuan Wang, Jun Xie. 2018. A Hierarchy-to-Sequence Attentional Neural Machine Translation Model. IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP).
  159. Deyi Xiong Junhui Li, Xing Wang, Biao Zhang. Neural machine translation with constraints. SCIENTIA SINICA Informationis.
  160. Biao Zhang, Deyi Xiong, jinsong su and Qian Lin. Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks. EMNLP 2018.
  161. Qian Cao and Deyi Xiong. Encoding Gated Translation Memory into Neural Machine Translation. EMNLP 2018.
  162. Mingxuan Wang, Jun Xie, Zhixing Tan, Jinsong Su, Deyi Xiong and Chao Bian. Neural Machine Translation with Decoding History Enhanced Attention. COLING 2018.
  163. Shiqi Zhang and Deyi Xiong. Sentence Weighting for Neural Machine Translation Domain Adaptation. COLING 2018.
  164. Shaohui Kuang, Weihua Luo, Guodong Zhou and Deyi Xiong. Modeling Coherence for Neural Machine Translation with Dynamic and Topic Caches. COLING 2018.
  165. Shaohui Kuang and Deyi Xiong. Fusing Recency into Neural Machine Translation with an Inter-Sentence Gate Model. COLING 2018.
  166. Biao Zhang, Deyi Xiong and Jinsong Su. Accelerating Neural Transformer via an Average Attention Network. ACL 2018.
  167. Shaohui Kuang, Junhui Li, António Branco, Weihua Luo and Deyi Xiong. Attention Focusing for Neural Machine Translation by Bridging Source and Target Embeddings. ACL 2018.
  168. Jinsong Su, Shan Wu, Deyi Xiong, Yaojie Lu, Xianpei Han, Biao Zhang. Variational Recurrent Neural Machine Translation. AAAI 2018.
  169. Zhiwei Ruan, Jinsong Su, Deyi Xiong, Rongrong Ji. Context-Aware Phrase Representation for Statistical Machine Translation. Pacific Rim International Conference on Artificial Intelligence 2018.

    170. 2017
  170. Jinsong Su, Zhixing Tan, Deyi Xiong, Rongrong Ji, Xiaodong Shi and Yang Liu. Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation. AAAI 2017.
  171. Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong and Min Zhang. Neural Machine Translation Advised by Statistical Machine Translation. AAAI 2017.
  172. Biao Zhang, Deyi Xiong and Jinsong Su. BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings. AAAI 2017.
  173. Junhui Li, Deyi Xiong, Zhaopeng Tu, Muhua Zhu, Min Zhang, Guodong Zhou. Modeling Source Syntax for Neural Machine Translation. ACL 2017.
  174. Xing Wang, Zhaopeng Tu, Deyi Xiong, Min Zhang. Translating Phrases in Neural Machine Translation. EMNLP 2017.
  175. Biao Zhang, Deyi Xiong, Jinsong Su, Hong Duan. A Context-Aware Recurrent Encoder for Neural Machine Translation. IEEE/ACM Trans. Audio, Speech & Language Processing, 2017.
  176. Jinsong Su, Shan Wu, Biao Zhang, Changxing Wu, Yue Qin, Deyi Xiong. A neural generative autoencoder for bilingual word embeddings. Information Sciences, Volume 424. Pages 287-300.
  177. Biao Zhang, Deyi Xiong, Jinsong Su, Min Zhang. Learning better discourse representation for implicit discourse relation recognition via attention networks. Neurocomputing, Volume 274.
  178. Yachao Li, Deyi Xiong, Min Zhang. Nerual Machine Translation with Phrasal Attention. Proceedings of CWMT, 2017.
  179. Hongfei Xu, Hongying Zan, Deyi Xiong and Kunli Zhang. Improving Chinese-English Neural Machine Translation with Detected Usages of Function Words. Proceedings of NLPCC, 2017.

    180. 2016
  180. Deyi Xiong, Fangdong Meng, Qun Liu. 2016. Topic-Based Term Translation Models for Statistical Machine Translation. Artificial Intelligence. 232(2016):54-75.
  181. Biao Zhang, Deyi Xiong Jinsong Su, Hong Duan, Min Zhang. 2016. Variational Neural Machine Translation. EMNLP 2016. [source code]
  182. Biao Zhang, Deyi Xiong Jinsong Su, Qun Liu, Rongrong Ji, Hong Duan, Min Zhang. 2016. Variational Neural Discourse Relation Recognizer. EMNLP 2016.
  183. Biao Zhang, Deyi Xiong Jinsong Su, Hong Duan, Min Zhang. 2016. Bilingual Autoencoders with Global Descriptors for Modeling Parallel Sentences. COLING 2016.
  184. Jinsong Su, Biao Zhang, Deyi Xiong, Ruochen Li, Jianmin Yin. 2016. Convolution-Enhanced Bilingual Recursive Neural Network for Bilingual Semantic Modeling. COLING 2016.
  185. Fangyuan Li, Ruihong Huang, Deyi Xiong, Min Zhang. 2016. Learning Event Expressions via Bilingual Structure Projection. COLING 2016.
  186. Haiqing Tang, Deyi Xiong, Min Zhang and Zhengxian Gong. 2016. Improving Statistical Machine Translation with Selectional Preferences. COLING 2016.
  187. Haiqing Tang, Deyi Xiong, Oier Lopez de Lacalle and Eneko Agirre. 2016. Improving Translation Selection with Supersenses. COLING 2016.

    188. 2015
  188. Deyi Xiong, Min Zhang, Xing Wang. 2015. Topic-Based Coherence Modeling for Statistical Machine Translation. IEEE/ACM Transactions on Audio Speech and Language Processing. 23(3):483-493.
  189. Biao Zhang, Jinsong Su, Deyi Xiong, Hong Duan, Junfeng Yao. 2015. Discriminative Reordering Model Adaptation via Structural Learning. IJCAI 2015: 1040-1046
  190. Jinsong Su, Deyi Xiong*, Yang Liu, Xianpei Han, Hongyu Lin, Junfeng Yao, Min Zhang. 2015. A Context-Aware Topic Model for Statistical Machine Translation. ACL 2015.
  191. Yanzhou Huang, Deyi Xiong, Xiaodong Shi, Yidong Chen, ChangXing Wu, Guimin Huang. Adapted Competitive Learning on Continuous Semantic Space for Word Sense Induction. Neurocomputing. 2015.
  192. Jinsong Su, Deyi Xiong*, Shujian Huang, Xianpei Han, Junfeng Yao. Graph-Based Collective Lexical Selection for Statistical Machine Translation. EMNLP 2015.
  193. Jinsong Su, Deyi Xiong*, Biao Zhang, Yang Liu, Junfeng Yao, Min Zhang. Bilingual Correspondence Recursive Autoencoder for Statistical Machine Translation. EMNLP 2015.
  194. Xing Wang, Deyi Xiong*, Min Zhang. Learning Semantic Representations for Nonterminals in Hierarchical Phrase-Based Translation. EMNLP 2015.
  195. Biao Zhang, Jinsong Su, Deyi Xiong, Yaojie Lu, Hong Duan, Junfeng Yao. Shallow Convolutional Neural Network for Implicit Discourse Relation Recognition. short paper, EMNLP 2015.
  196. ChaoChao Wang, Deyi Xiong, Min Zhang and Chunyu Kit. Learning Bilingual Distributed Phrase Representations for Statistical Machine Translation. MT Summit XV (2015).

    197. 2014
  197. Deyi Xiong, Min Zhang. A Sense-Based Translation Model for Statistical Machine Translation. ACL 2014. (Errata: the last row of Table 4 should be 34.68 9.4781)
  198. Fandong Meng, Deyi Xiong*, Wenbin Jiang, and Qun Liu. 2014. Modeling Term Translation for Document-informed Machine Translation. EMNLP 2014.
  199. Min Zhang, Xinyan Xiao, Deyi Xiong* and Qun Liu. Topic-based dissimilarity and sensitivity models for translation rule selection. Journal of Artificial Intelligence Research.

    200. 2013
  200. Deyi Xiong, Min Zhang. Backward and trigger based language models for statistical machine translation. Natural Language Engineering.
  201. Deyi Xiong, Min Zhang. A Topic-Based Coherence Model for Statistical Machine Translation. Proceedings of AAAI 2013. pages 977-983.
  202. Deyi Xiong, Guosheng Ben, Min Zhang, Yajuan Lv and Qun Liu.  Modeling Lexical Cohesion for Document-Level Machine Translation. IJCAI 2013. pages 2183-2189.
  203. Deyi Xiong, Yang Ding, Min Zhang and Chew Lim Tan.  Lexical Chain Based Cohesion Models for Document-Level Statistical Machine Translation.  EMNLP 2013. [slides
  204. Guosheng Ben, Deyi Xiong, Zhiyang Teng, Yajuan Lu, Qun Liu.  Bilingual Lexical Cohesion Trigger Model for Document-Level Machine Translation.  ACL 2013. pages 382-386.
  205. Xinyan Xiao, Deyi Xiong. Max-Margin Synchronous Grammar Induction for Machine Translation. EMNLP 2013.

    206. 2012
  206. Deyi Xiong, Min Zhang, Haizhou Li. Modeling the Translation of Predicate-Argument Structure for SMT. ACL 2012.
  207. Xinyan Xiao, Deyi Xiong, Min Zhang, Qun Liu, Shouxun Lin. A Topic Similarity Model for Hierarchical Phrase-based Translation. ACL 2012. 
  208. Xinyan Xiao, Deyi Xiong, Yang Liu, Qun Liu, and Shouxun Lin. Unsupervised Discriminative Induction of Synchronous Grammar for Machine Translation. COLING 2012.

    209. 2011
  209. Deyi Xiong, Min Zhang, Haizhou Li. A Maximum Entropy Segmentation Model for Statistical Machine Translation. IEEE Transactions on Audio, Speech and Language Processing.
  210. Deyi Xiong, Min Zhang, Haizhou Li. Enhancing Language Models in Statistical Machine Translation with Backward N-grams and Mutual Information Triggers. ACL 2011.

    211. 2010
  211. Deyi Xiong, Min Zhang, Aiti Aw, Haizhou Li. Linguistically Annotated Reordering: Evaluation and Analysis. Computational Linguistics. 
  212. Deyi Xiong, Min Zhang, Haizhou Li. Error Detection for Statistical Machine Translation Using Linguistic Features. ACL 2010
  213. Deyi Xiong, Min Zhang, Haizhou Li. Learning Translation Boundaries for Phrase-Based Decoding. NAACL-HLT 2010.

    214. 2009
  214. Deyi Xiong, Min Zhang, Aiti Aw and Haizhou Li. A Syntax-Driven Bracketing Model for Phrase-Based Translation. ACL-IJCNLP 2009.
  215. Deyi Xiong, Min Zhang, Ai Ti Aw, and Haizhou Li. A Source Dependency Model for Statistical Machine Translation. MT Summit XII.
  216. Deyi Xiong, Min Zhang, Ai Ti Aw, and Haizhou Li. Efficient Beam Thresholding for Statistical Machine Translation. MT Summit XII.

    217. 2008
  217. Boxing Chen, Deyi Xiong, Min Zhang, Aiti Aw and Haizhou Li. I2R Multi-Pass Machine Translation System for IWSLT 2008. IWSLT 2008.
  218. Deyi Xiong, Min Zhang, Ai Ti Aw, and Haizhou Li. Linguistically Annotated BTG for Statistical Machine Translation. COLING 2008.
  219. Deyi Xiong, Min Zhang, Ai Ti Aw, and Haizhou Li. A Linguistically Annotated Reordering Model for BTG-based Statistical Machine Translation. (short paper). ACL 2008.
  220. Deyi Xiong, Min Zhang, Ai Ti Aw, Haitao Mi, Qun Liu and Shouxun Lin. Refinements BTG-based Statistical Machine Translation. IJCNLP 2008.

    221. 2007
  221. Zhongjun He, Haitao Mi, Yang Liu, Deyi Xiong, Weihua Luo, Yun Huang, Zhixiang Ren,Yajuan Lu, Qun Liu. The ICT Statistical Machine Translation Systems for IWSLT 2007. IWSLT 2007.
  222. Deyi Xiong, Qun Liu, and Shouxun Lin. A Dependency Treelet String Correspondence Model for Statistical Machine Translation. WMT 2007.
  223. Liu Qun, Wang Xiangdong, Liu Hong, Sun Le, Tang Sheng, Xiong Deyi Hou Hongxu, Lv Yuanhua, Li Wenbo, Lin Shouxun and Qian Yueliang. 2007. HTRDP evaluations on Chinese information processing and intelligent human-machine interface.Frontiers of Computer Science in China. 

    224. 2006
  224. Deyi Xiong, Qun Liu, and Shouxun Lin. Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation. ACL-COLING 2006. Sydney, Australia. 
  225. Zhongjun He, Yang Liu, Deyi Xiong, Hongxu Hou, and Qun Liu. ICT System Description for the 2006 TC-STAR Run#2 SLT Evaluation. TC-STAR Evaluation Workshop, Barcelona, Spain, June. 

    226. 2005
  226. Deyi Xiong, Shuanglong Li, Qun Liu, Shouxun Lin, Yueliang Qian. Parsing the Penn Chinese Treebank with Semantic Knowledge. Lecture Notes in Computer Science, Springer-Verlag, Volume 3651, Sep 2005, Pages 70 - 81. IJCNLP 2005, Jeju Island, Korea. 
  227. Deyi Xiong, Qun Liu, Shouxun Lin. Lexicalized Beam Thresholding Parsing with Prior and Boundary Estimates. Lecture Notes in Computer Science, Springer-Verlag, Volume 3406, Jan 2005, Pages 132 - 141. Proceedings of 6th Conference on Intelligent Text Processing and Computational Linguistics (CICLing), Mexico City, Mexico, 2005. 

    228. 2004
  228. Deyi Xiong, Hongkui Yu, Qun Liu. Tagging Complex NEs with MaxEnt Models: Layered Structures Versus Extended Tagset. Lecture Notes in Computer Science, Springer-Verlag, Volume 3248, Jan 2005, Pages 537 - 544. Proceedings of 1st International Joint Conference on Natural Language Processing (IJCNLP-04). 2004. SanYa, China. 

    229. 2003
  229. Huaping Zhang, Hongkui Yu, Deyi Xiong and Qun Liu. 2003. HHMM-based Chinese Lexical Analyzer ICTCLAS. Proceedings of the Second SIGHAN workshop, Sapporo Japan.