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ORCIDJingbo Zhu
JingBo Zhu
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2020 – today
- 2025
[c156]Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Murun Yang, Qiaozhi He, Tong Xiao, Chunliang Zhang, Tongran Liu, Jingbo Zhu:
RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data. AAAI 2025: 25336-25344- [c155]Yuchun Fan, Yongyu Mu, Yilin Wang, Lei Huang, Junhao Ruan, Bei Li, Tong Xiao, Shujian Huang, Xiaocheng Feng, Jingbo Zhu:
SLAM: Towards Efficient Multilingual Reasoning via Selective Language Alignment. COLING 2025: 9499-9515 - [i75]Yuchun Fan, Yongyu Mu, Yilin Wang, Lei Huang, Junhao Ruan, Bei Li, Tong Xiao, Shujian Huang, Xiaocheng Feng, Jingbo Zhu:
SLAM: Towards Efficient Multilingual Reasoning via Selective Language Alignment. CoRR abs/2501.03681 (2025) - [i74]Yongyu Mu, Hengyu Li, Junxin Wang, Xiaoxuan Zhou, Chenglong Wang, Yingfeng Luo, Qiaozhi He, Tong Xiao, Guocheng Chen, Jingbo Zhu:
Boosting Text-To-Image Generation via Multilingual Prompting in Large Multimodal Models. CoRR abs/2501.07086 (2025) - [i73]Weiqiao Shan, Yuhao Zhang, Yuchen Han, Bei Li, Xiaofeng Zhao, Yuang Li, Min Zhang, Hao Yang, Tong Xiao, Jingbo Zhu:
Optimizing Speech Multi-View Feature Fusion through Conditional Computation. CoRR abs/2501.08057 (2025) - [i72]Tong Xiao, Jingbo Zhu:
Foundations of Large Language Models. CoRR abs/2501.09223 (2025) - [i71]Weiqiao Shan, Yuang Li, Yuhao Zhang, Yingfeng Luo, Chen Xu, Xiaofeng Zhao, Long Meng, Yunfei Lu, Min Zhang, Hao Yang, Tong Xiao, Jingbo Zhu:
Enhancing Speech Large Language Models with Prompt-Aware Mixture of Audio Encoders. CoRR abs/2502.15178 (2025) - [i70]Yingfeng Luo, Tong Zheng, Yongyu Mu, Bei Li, Qinghong Zhang, Yongqi Gao, Ziqiang Xu, Peinan Feng, Xiaoqian Liu, Tong Xiao, Jingbo Zhu:
Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine Translation. CoRR abs/2503.06594 (2025) - 2024
- [c154]Chenglong Wang, Hang Zhou, Yimin Hu, Yifu Huo, Bei Li, Tongran Liu, Tong Xiao, Jingbo Zhu:
ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation. AAAI 2024: 19107-19115 - [c153]Chi Hu, Yimin Hu, Hang Cao, Tong Xiao, JingBo Zhu:
Teaching Language Models to Self-Improve by Learning from Language Feedback. ACL (Findings) 2024: 6090-6101 - [c152]Tong Zheng, Bei Li, Huiwen Bao, Jiale Wang, Weiqiao Shan, Tong Xiao, JingBo Zhu:
PartialFormer: Modeling Part Instead of Whole for Machine Translation. ACL (Findings) 2024: 7280-7294 - [c151]Tong Zheng, Bei Li, Huiwen Bao, Tong Xiao, JingBo Zhu:
EIT: Enhanced Interactive Transformer. ACL (1) 2024: 7734-7751 - [c150]Chen Xu, Jie Wang, Xiaoqian Liu, Qian Dong, Chunliang Zhang, Tong Xiao, JingBo Zhu, Dapeng Man, Wu Yang:
Revisiting Interpolation Augmentation for Speech-to-Text Generation. ACL (Findings) 2024: 9488-9499 - [c149]Chenglong Wang, Hang Zhou, Kaiyan Chang, Bei Li, Yongyu Mu, Tong Xiao, Tongran Liu, JingBo Zhu:
Hybrid Alignment Training for Large Language Models. ACL (Findings) 2024: 11389-11403 - [c148]Abudurexiti Reheman, Yingfeng Luo, Junhao Ruan, Chunliang Zhang, Anxiang Ma, Tong Xiao, JingBo Zhu:
Exploiting Target Language Data for Neural Machine Translation Beyond Back Translation. ACL (Findings) 2024: 12216-12228 - [c147]Pengcheng Huang, Yongyu Mu, Yuzhang Wu, Bei Li, Chunyang Xiao, Tong Xiao, Jingbo Zhu:
Translate-and-Revise: Boosting Large Language Models for Constrained Translation. CCL 2024: 120-139 - [c146]Hang Zhou, Chenglong Wang, Yimin Hu, Tong Xiao, Chunliang Zhang, Jingbo Zhu:
Prior Constraints-Based Reward Model Training for Aligning Large Language Models. CCL 2024: 555-570 - [c145]Chi Hu, Yuan Ge, Xiangnan Ma, Hang Cao, Qiang Li, Yonghua Yang, Tong Xiao, Jingbo Zhu:
RankPrompt: Step-by-Step Comparisons Make Language Models Better Reasoners. LREC/COLING 2024: 13524-13536 - [c144]Yuan Ge, Yilun Liu, Chi Hu, Weibin Meng, Shimin Tao, Xiaofeng Zhao, Mahong Xia, Zhang Li, Boxing Chen, Hao Yang, Bei Li, Tong Xiao, JingBo Zhu:
Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation. EMNLP 2024: 464-478 - [c143]Xinyu Liu, Runsong Zhao, Pengcheng Huang, Chunyang Xiao, Bei Li, Jingang Wang, Tong Xiao, JingBo Zhu:
Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-Context Models. EMNLP 2024: 4667-4682 - [c142]Yongyu Mu, Peinan Feng, Zhiquan Cao, Yuzhang Wu, Bei Li, Chenglong Wang, Tong Xiao, Kai Song, Tongran Liu, Chunliang Zhang, JingBo Zhu:
Revealing the Parallel Multilingual Learning within Large Language Models. EMNLP 2024: 6976-6997 - [c141]Yuhao Zhang, Kaiqi Kou, Bei Li, Chen Xu, Chunliang Zhang, Tong Xiao, Jingbo Zhu:
Soft Alignment of Modality Space for End-to-End Speech Translation. ICASSP 2024: 11041-11045 - [c140]Chen Xu, Xiaoqian Liu, Erfeng He, Yuhao Zhang, Qianqian Dong, Tong Xiao, Jingbo Zhu, Dapeng Man, Wu Yang:
Bridging the Gaps of Both Modality and Language: Synchronous Bilingual CTC for Speech Translation and Speech Recognition. ICASSP 2024: 12176-12180 - [c139]Xiaoqian Liu, Guoqiang Hu, Yangfan Du, Erfeng He, Yingfeng Luo, Chen Xu, Tong Xiao, Jingbo Zhu:
Recent Advances in End-to-End Simultaneous Speech Translation. IJCAI 2024: 8142-8150 - [c138]Bei Li, Tong Zheng, Rui Wang, Jiahao Liu, Qingyan Guo, Junliang Guo, Xu Tan, Tong Xiao, Jingbo Zhu, Jingang Wang, Xunliang Cai:
Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning. NeurIPS 2024 - [c137]Runlai Zhang, Saihan Chen, Yuhao Zhang, Yangfan Du, Hao Chen, Tong Xiao, Jingbo Zhu:
Improving End-to-End Speech Translation with Progressive Dual Encoding. NLPCC (3) 2024: 199-212 - [c136]Yongqi Gao, Yingfeng Luo, Qinghong Zhang, Huibo Shao, Tong Xiao, Jingbo Zhu:
Progressive and Consistent Subword Regularization for Neural Machine Translation. NLPCC (3) 2024: 314-326 - [c135]Zhibo Ren, Baoyu Hou, Huizhen Wang, Muhua Zhu, Tong Xiao, Jingbo Zhu:
DFS-QA: Dynamic Frame Selection for Better Video Question Answering. NLPCC (3) 2024: 420-432 - [i69]Yongyu Mu, Peinan Feng, Zhiquan Cao, Yuzhang Wu, Bei Li, Chenglong Wang, Tong Xiao, Kai Song, Tongran Liu, Chunliang Zhang, Jingbo Zhu:
Large Language Models are Parallel Multilingual Learners. CoRR abs/2403.09073 (2024) - [i68]Chi Hu, Yuan Ge, Xiangnan Ma, Hang Cao, Qiang Li, Yonghua Yang, Tong Xiao, Jingbo Zhu:
RankPrompt: Step-by-Step Comparisons Make Language Models Better Reasoners. CoRR abs/2403.12373 (2024) - [i67]Hang Zhou, Chenglong Wang, Yimin Hu, Tong Xiao, Chunliang Zhang, Jingbo Zhu:
Prior Constraints-based Reward Model Training for Aligning Large Language Models. CoRR abs/2404.00978 (2024) - [i66]Kaiyan Chang, Songcheng Xu, Chenglong Wang, Yingfeng Luo, Tong Xiao, Jingbo Zhu:
Efficient Prompting Methods for Large Language Models: A Survey. CoRR abs/2404.01077 (2024) - [i65]Xiaoqian Liu, Guoqiang Hu, Yangfan Du, Erfeng He, Yingfeng Luo, Chen Xu, Tong Xiao, Jingbo Zhu:
Recent Advances in End-to-End Simultaneous Speech Translation. CoRR abs/2406.00497 (2024) - [i64]Chi Hu, Yimin Hu, Hang Cao, Tong Xiao, Jingbo Zhu:
Teaching Language Models to Self-Improve by Learning from Language Feedback. CoRR abs/2406.07168 (2024) - [i63]Chenglong Wang, Hang Zhou, Kaiyan Chang, Bei Li, Yongyu Mu, Tong Xiao, Tongran Liu, Jingbo Zhu:
Hybrid Alignment Training for Large Language Models. CoRR abs/2406.15178 (2024) - [i62]Chen Xu, Jie Wang, Xiaoqian Liu, Qianqian Dong, Chunliang Zhang, Tong Xiao, Jingbo Zhu, Dapeng Man, Wu Yang:
Revisiting Interpolation Augmentation for Speech-to-Text Generation. CoRR abs/2406.15846 (2024) - [i61]Pengcheng Huang, Yongyu Mu, Yuzhang Wu, Bei Li, Chunyang Xiao, Tong Xiao, Jingbo Zhu:
Translate-and-Revise: Boosting Large Language Models for Constrained Translation. CoRR abs/2407.13164 (2024) - [i60]Yongyu Mu, Yuzhang Wu, Yuchun Fan, Chenglong Wang, Hengyu Li, Qiaozhi He, Murun Yang, Tong Xiao, Jingbo Zhu:
Cross-layer Attention Sharing for Large Language Models. CoRR abs/2408.01890 (2024) - [i59]Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Murun Yang, Qiaozhi He, Tong Xiao, Chunliang Zhang, Tongran Liu, Quan Du, Di Yang, Jingbo Zhu:
RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data. CoRR abs/2408.12109 (2024) - [i58]Junhao Ruan, Abudukeyumu Abudula, Xinyu Liu, Bei Li, Yinqiao Li
, Chenglong Wang, Yuchun Fan, Yuan Ge, Tong Xiao, Jingbo Zhu:
NDP: Next Distribution Prediction as a More Broad Target. CoRR abs/2408.17377 (2024) - [i57]Runsong Zhao, Pengcheng Huang, Xinyu Liu, Chunyang Xiao, Tong Xiao, Jingbo Zhu:
More Effective LLM Compressed Tokens with Uniformly Spread Position Identifiers and Compression Loss. CoRR abs/2409.14364 (2024) - [i56]Xiaoqian Liu, Yangfan Du, Jianjin Wang, Yuan Ge, Chen Xu, Tong Xiao, Guocheng Chen, Jingbo Zhu:
A Modular-based Strategy for Mitigating Gradient Conflicts in Simultaneous Speech Translation. CoRR abs/2409.15911 (2024) - [i55]Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Qiaozhi He, Murun Yang, Tong Xiao, Chunliang Zhang, Tongran Liu, Jingbo Zhu:
LRHP: Learning Representations for Human Preferences via Preference Pairs. CoRR abs/2410.04503 (2024) - [i54]Xinyu Liu, Runsong Zhao, Pengcheng Huang, Chunyang Xiao, Bei Li, Jingang Wang, Tong Xiao, Jingbo Zhu:
Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-context Models. CoRR abs/2410.04727 (2024) - [i53]Bei Li, Tong Zheng, Rui Wang, Jiahao Liu, Qingyan Guo, Junliang Guo, Xu Tan, Tong Xiao, Jingbo Zhu, Jingang Wang, Xunliang Cai:
Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning. CoRR abs/2411.03042 (2024) - [i52]Weiqiao Shan, Long Meng, Tong Zheng, Yingfeng Luo, Bei Li, Junxin Wang, Tong Xiao, Jingbo Zhu:
Early Exit Is a Natural Capability in Transformer-based Models: An Empirical Study on Early Exit without Joint Optimization. CoRR abs/2412.01455 (2024) - 2023
- [j28]Yinqiao Li, Runzhe Cao, Qiaozhi He, Tong Xiao, Jingbo Zhu:
Learning Reliable Neural Networks with Distributed Architecture Representations. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(4): 109:1-109:20 (2023) - [c134]Abudurexiti Reheman, Tao Zhou, Yingfeng Luo, Di Yang, Tong Xiao, Jingbo Zhu:
Prompting Neural Machine Translation with Translation Memories. AAAI 2023: 13519-13527 - [c133]Yuhao Zhang, Chen Xu, Bojie Hu, Chunliang Zhang, Tong Xiao, Jingbo Zhu:
Improving End-to-End Speech Translation by Leveraging Auxiliary Speech and Text Data. AAAI 2023: 13984-13992 - [c132]Ye Lin, Xiaohui Wang, Zhexi Zhang, Mingxuan Wang, Tong Xiao, Jingbo Zhu:
MobileNMT: Enabling Translation in 15MB and 30ms. ACL (industry) 2023: 368-378 - [c131]Yuchen Han, Chen Xu, Tong Xiao, Jingbo Zhu:
Modality Adaption or Regularization? A Case Study on End-to-End Speech Translation. ACL (2) 2023: 1340-1348 - [c130]Bei Li, Yi Jing, Xu Tan, Zhen Xing, Tong Xiao, Jingbo Zhu:
TranSFormer: Slow-Fast Transformer for Machine Translation. ACL (Findings) 2023: 6883-6896 - [c129]Yongyu Mu, Abudurexiti Reheman, Zhiquan Cao, Yuchun Fan, Bei Li, Yinqiao Li, Tong Xiao, Chunliang Zhang, Jingbo Zhu:
Augmenting Large Language Model Translators via Translation Memories. ACL (Findings) 2023: 10287-10299 - [c128]Chen Xu, Yuhao Zhang, Chengbo Jiao, Xiaoqian Liu, Chi Hu, Xin Zeng, Tong Xiao, Anxiang Ma, Huizhen Wang, Jingbo Zhu:
Bridging the Granularity Gap for Acoustic Modeling. ACL (Findings) 2023: 10816-10833 - [c127]Hang Cao, Zhiquan Cao, Chi Hu, Baoyu Hou, Tong Xiao, Jingbo Zhu:
Improving Autoregressive Grammatical Error Correction with Non-autoregressive Models. ACL (Findings) 2023: 12014-12027 - [c126]Chen Xu, Xiaoqian Liu, Xiaowen Liu, Qingxuan Sun, Yuhao Zhang, Murun Yang, Qianqian Dong, Tom Ko, Mingxuan Wang, Tong Xiao, Anxiang Ma, Jingbo Zhu:
CTC-based Non-autoregressive Speech Translation. ACL (1) 2023: 13321-13339 - [c125]Zhibo Ren, Huizhen Wang, Muhua Zhu, Yichao Wang, Tong Xiao, Jingbo Zhu:
Overcoming Language Priors with Counterfactual Inference for Visual Question Answering. CCL 2023: 58-71 - [c124]Yuhao Zhang, Chen Xu, Bei Li, Hao Chen, Tong Xiao, Chunliang Zhang, Jingbo Zhu:
Rethinking and Improving Multi-task Learning for End-to-end Speech Translation. EMNLP 2023: 10753-10765 - [c123]Yuxin Zuo, Bei Li, Chuanhao Lv, Tong Zheng, Tong Xiao, JingBo Zhu:
Incorporating Probing Signals into Multimodal Machine Translation via Visual Question-Answering Pairs. EMNLP (Findings) 2023: 14689-14701 - [c122]Chen Xu, Rong Ye, Qianqian Dong, Chengqi Zhao, Tom Ko, Mingxuan Wang, Tong Xiao, Jingbo Zhu:
Recent Advances in Direct Speech-to-text Translation. IJCAI 2023: 6796-6804 - [c121]Yuhao Zhang, Chenghao Gao, Kaiqi Kou, Chen Xu, Tong Xiao, Jingbo Zhu:
Information Magnitude Based Dynamic Sub-sampling for Speech-to-text. INTERSPEECH 2023: 4433-4437 - [c120]Yuchen Han, Xiaoqian Liu, Hao Chen, Yuhao Zhang, Chen Xu, Tong Xiao, Jingbo Zhu:
The NiuTrans End-to-End Speech Translation System for IWSLT23 English-to-Chinese Offline Task. IWSLT@ACL 2023: 211-218 - [i51]Abudurexiti Reheman, Tao Zhou, Yingfeng Luo, Di Yang, Tong Xiao, Jingbo Zhu:
Prompting Neural Machine Translation with Translation Memories. CoRR abs/2301.05380 (2023) - [i50]Chenglong Wang, Yi Lu, Yongyu Mu, Yimin Hu, Tong Xiao, Jingbo Zhu:
Improved Knowledge Distillation for Pre-trained Language Models via Knowledge Selection. CoRR abs/2302.00444 (2023) - [i49]Ye Lin, Shuhan Zhou, Yanyang Li, Anxiang Ma, Tong Xiao, Jingbo Zhu:
Multi-Path Transformer is Better: A Case Study on Neural Machine Translation. CoRR abs/2305.05948 (2023) - [i48]Bei Li, Yi Jing, Xu Tan, Zhen Xing, Tong Xiao, Jingbo Zhu:
TranSFormer: Slow-Fast Transformer for Machine Translation. CoRR abs/2305.16982 (2023) - [i47]Chen Xu, Yuhao Zhang, Chengbo Jiao, Xiaoqian Liu, Chi Hu, Xin Zeng, Tong Xiao, Anxiang Ma, Huizhen Wang, Jingbo Zhu:
Bridging the Granularity Gap for Acoustic Modeling. CoRR abs/2305.17356 (2023) - [i46]Chen Xu, Xiaoqian Liu, Xiaowen Liu, Qingxuan Sun, Yuhao Zhang, Murun Yang, Qianqian Dong, Tom Ko, Mingxuan Wang, Tong Xiao, Anxiang Ma, Jingbo Zhu:
CTC-based Non-autoregressive Speech Translation. CoRR abs/2305.17358 (2023) - [i45]Yongyu Mu, Abudurexiti Reheman, Zhiquan Cao, Yuchun Fan, Bei Li, Yinqiao Li, Tong Xiao, Chunliang Zhang, Jingbo Zhu:
Augmenting Large Language Model Translators via Translation Memories. CoRR abs/2305.17367 (2023) - [i44]Bei Li, Rui Wang, Junliang Guo, Kaitao Song, Xu Tan, Hany Hassan, Arul Menezes, Tong Xiao, Jiang Bian, JingBo Zhu:
Deliberate then Generate: Enhanced Prompting Framework for Text Generation. CoRR abs/2305.19835 (2023) - [i43]Ye Lin, Xiaohui Wang, Zhexi Zhang, Mingxuan Wang, Tong Xiao, Jingbo Zhu:
MobileNMT: Enabling Translation in 15MB and 30ms. CoRR abs/2306.04235 (2023) - [i42]Yuchen Han, Chen Xu, Tong Xiao, Jingbo Zhu:
Modality Adaption or Regularization? A Case Study on End-to-End Speech Translation. CoRR abs/2306.07650 (2023) - [i41]Ye Lin, Mingxuan Wang, Zhexi Zhang, Xiaohui Wang, Tong Xiao, Jingbo Zhu:
Understanding Parameter Sharing in Transformers. CoRR abs/2306.09380 (2023) - [i40]Chen Xu, Rong Ye, Qianqian Dong, Chengqi Zhao, Tom Ko, Mingxuan Wang, Tong Xiao, Jingbo Zhu:
Recent Advances in Direct Speech-to-text Translation. CoRR abs/2306.11646 (2023) - [i39]Xinyu Liu, Yan Ding, Kaikai An, Chunyang Xiao, Pranava Madhyastha, Tong Xiao, Jingbo Zhu:
Towards Robust Aspect-based Sentiment Analysis through Non-counterfactual Augmentations. CoRR abs/2306.13971 (2023) - [i38]Chenglong Wang, Hang Zhou, Yimin Hu, Yifu Huo, Bei Li, Tongran Liu, Tong Xiao, Jingbo Zhu:
ESRL: Efficient Sampling-based Reinforcement Learning for Sequence Generation. CoRR abs/2308.02223 (2023) - [i37]Chenglong Wang, Hang Zhou, Kaiyan Chang, Tongran Liu, Chunliang Zhang, Quan Du, Tong Xiao, Jingbo Zhu:
Learning Evaluation Models from Large Language Models for Sequence Generation. CoRR abs/2308.04386 (2023) - [i36]Chen Xu, Xiaoqian Liu, Erfeng He, Yuhao Zhang, Qianqian Dong, Tong Xiao, Jingbo Zhu, Dapeng Man, Wu Yang:
Bridging the Gaps of Both Modality and Language: Synchronous Bilingual CTC for Speech Translation and Speech Recognition. CoRR abs/2309.12234 (2023) - [i35]Tong Zheng, Bei Li, Huiwen Bao, Weiqiao Shan, Tong Xiao, Jingbo Zhu:
PartialFormer: Modeling Part Instead of Whole. CoRR abs/2310.14921 (2023) - [i34]Yuxin Zuo, Bei Li, Chuanhao Lv, Tong Zheng, Tong Xiao, Jingbo Zhu:
Incorporating Probing Signals into Multimodal Machine Translation via Visual Question-Answering Pairs. CoRR abs/2310.17133 (2023) - [i33]Yuhao Zhang, Chen Xu, Bei Li, Hao Chen, Tong Xiao, Chunliang Zhang, Jingbo Zhu:
Rethinking and Improving Multi-task Learning for End-to-end Speech Translation. CoRR abs/2311.03810 (2023) - [i32]Tong Xiao, Jingbo Zhu:
Introduction to Transformers: an NLP Perspective. CoRR abs/2311.17633 (2023) - [i31]Yuhao Zhang, Kaiqi Kou, Bei Li, Chen Xu, Chunliang Zhang, Tong Xiao, Jingbo Zhu:
Soft Alignment of Modality Space for End-to-end Speech Translation. CoRR abs/2312.10952 (2023) - 2022
- [j27]Bin Wang, Yan Ding, Penghui Zhao, Wei Li, Ming Li, Jingbo Zhu, Shuhong Ye:
Systems pharmacology-based drug discovery and active mechanism of natural products for coronavirus pneumonia (COVID-19): An example using flavonoids. Comput. Biol. Medicine 143: 105241 (2022) - [j26]Qi Chen, Oi Yee Kwong, Yinqiao Li, Tong Xiao, Jingbo Zhu:
Coarse-to-Fine Output Predictions for Efficient Decoding in Neural Machine Translation. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(6): 1-12 (2022) - [c119]Bei Li, Chuanhao Lv, Zefan Zhou, Tao Zhou, Tong Xiao, Anxiang Ma, Jingbo Zhu:
On Vision Features in Multimodal Machine Translation. ACL (1) 2022: 6327-6337 - [c118]Bei Li, Quan Du, Tao Zhou, Yi Jing, Shuhan Zhou, Xin Zeng, Tong Xiao, Jingbo Zhu, Xuebo Liu, Min Zhang:
ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation. ACL (1) 2022: 8335-8351 - [c117]Ye Lin, Shuhan Zhou, Yanyang Li, Anxiang Ma, Tong Xiao, Jingbo Zhu:
Multi-Path Transformer is Better: A Case Study on Neural Machine Translation. EMNLP (Findings) 2022: 5646-5656 - [c116]Chenglong Wang, Yi Lu, Yongyu Mu, Yimin Hu, Tong Xiao, Jingbo Zhu:
Improved Knowledge Distillation for Pre-trained Language Models via Knowledge Selection. EMNLP (Findings) 2022: 6232-6244 - [c115]Bei Li, Tong Zheng, Yi Jing, Chengbo Jiao, Tong Xiao, Jingbo Zhu:
Learning Multiscale Transformer Models for Sequence Generation. ICML 2022: 13225-13241 - [c114]Yuhao Zhang, Canan Huang, Chen Xu, Xiaoqian Liu, Bei Li, Anxiang Ma, Tong Xiao, Jingbo Zhu:
The NiuTrans's Submission to the IWSLT22 English-to-Chinese Offline Speech Translation Task. IWSLT@ACL 2022: 232-238 - [c113]Weiqiao Shan, Zhiquan Cao, Yuchen Han, Siming Wu, Yimin Hu, Jie Wang, Yi Zhang, Baoyu Hou, Hang Cao, Chenghao Gao, Xiaowen Liu, Tong Xiao, Anxiang Ma, Jingbo Zhu:
The NiuTrans Machine Translation Systems for WMT22. WMT 2022: 366-374 - [i30]Bei Li, Chuanhao Lv, Zefan Zhou, Tao Zhou, Tong Xiao, Anxiang Ma, Jingbo Zhu:
On Vision Features in Multimodal Machine Translation. CoRR abs/2203.09173 (2022) - [i29]Bei Li, Quan Du, Tao Zhou, Yi Jing, Shuhan Zhou, Xin Zeng, Tong Xiao, Jingbo Zhu, Xuebo Liu, Min Zhang:
ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation. CoRR abs/2203.09176 (2022) - [i28]Bei Li, Tong Zheng, Yi Jing, Chengbo Jiao, Tong Xiao, Jingbo Zhu:
Learning Multiscale Transformer Models for Sequence Generation. CoRR abs/2206.09337 (2022) - [i27]Yuhao Zhang, Chen Xu, Bojie Hu, Chunliang Zhang, Tong Xiao, Jingbo Zhu:
Improving End-to-end Speech Translation by Leveraging Auxiliary Speech and Text Data. CoRR abs/2212.01778 (2022) - [i26]Tong Zheng, Bei Li, Huiwen Bao, Tong Xiao, Jingbo Zhu:
EIT: Enhanced Interactive Transformer. CoRR abs/2212.10197 (2022) - 2021
- [j25]Quan Du, Nuo Xu, Yinqiao Li, Tong Xiao, Jingbo Zhu:
Topology-Sensitive Neural Architecture Search for Language Modeling. IEEE Access 9: 107416-107423 (2021) - [j24]Zihu Guo, Yingxue Fu, Chao Huang, Chunli Zheng, Ziyin Wu, Xuetong Chen, Shuo Gao, Yaohua Ma, Mohamed Shahen, Yan Li, Pengfei Tu, Jingbo Zhu, Zhenzhong Wang, Wei Xiao, Yonghua Wang:
NOGEA: A Network-oriented Gene Entropy Approach for Dissecting Disease Comorbidity and Drug Repositioning. Genom. Proteom. Bioinform. 19(4): 549-564 (2021) - [j23]Quan Du, Kai Feng, Chen Xu, Tong Xiao, Jingbo Zhu:
Non-autoregressive neural machine translation with auxiliary representation fusion. J. Intell. Fuzzy Syst. 41(6): 7229-7239 (2021) - [c112]Bei Li, Ziyang Wang, Hui Liu, Quan Du, Tong Xiao, Chunliang Zhang, Jingbo Zhu:
Learning Light-Weight Translation Models from Deep Transformer. AAAI 2021: 13217-13225 - [c111]Yanyang Li, Ye Lin, Tong Xiao, Jingbo Zhu:
An Efficient Transformer Decoder with Compressed Sub-layers. AAAI 2021: 13315-13323 - [c110]Ye Lin, Yanyang Li, Ziyang Wang, Bei Li, Quan Du, Tong Xiao, Jingbo Zhu:
Weight Distillation: Transferring the Knowledge in Neural Network Parameters. ACL/IJCNLP (1) 2021: 2076-2088 - [c109]Chen Xu, Bojie Hu, Yanyang Li, Yuhao Zhang, Shen Huang, Qi Ju, Tong Xiao, Jingbo Zhu:
Stacked Acoustic-and-Textual Encoding: Integrating the Pre-trained Models into Speech Translation Encoders. ACL/IJCNLP (1) 2021: 2619-2630 - [c108]Chi Hu, Chenglong Wang, Xiangnan Ma, Xia Meng, Yinqiao Li, Tong Xiao, Jingbo Zhu, Changliang Li:
RankNAS: Efficient Neural Architecture Search by Pairwise Ranking. EMNLP (1) 2021: 2469-2480 - [c107]Ye Lin, Yanyang Li, Tong Xiao, Jingbo Zhu:
Bag of Tricks for Optimizing Transformer Efficiency. EMNLP (Findings) 2021: 4227-4233 - [c106]Chen Xu, Xiaoqian Liu, Xiaowen Liu, Laohu Wang, Canan Huang, Tong Xiao, Jingbo Zhu:
The NiuTrans End-to-End Speech Translation System for IWSLT 2021 Offline Task. IWSLT 2021: 92-99 - [c105]Zihao Liu, Yan Zhang, Huizhen Wang, Jingbo Zhu:
Entity-Aware Relation Representation Learning for Open Relation Extraction. NLPCC (1) 2021: 288-299 - [c104]Yingfeng Luo, Changliang Li, Canan Huang, Chen Xu, Xin Zeng, Binghao Wei, Tong Xiao, Jingbo Zhu:
Chinese Poetry Generation with Metrical Constraints. NLPCC (1) 2021: 377-388 - [c103]Shuhan Zhou, Tao Zhou, Binghao Wei, Yingfeng Luo, Yongyu Mu, Zefan Zhou, Chenglong Wang, Xuanjun Zhou, Chuanhao Lv, Yi Jing, Laohu Wang, Jingnan Zhang, Canan Huang, Zhongxiang Yan, Chi Hu, Bei Li, Tong Xiao, Jingbo Zhu:
The NiuTrans Machine Translation Systems for WMT21. WMT@EMNLP 2021: 265-272 - [c102]Chenglong Wang, Chi Hu, Yongyu Mu, Zhongxiang Yan, Siming Wu, Yimin Hu, Hang Cao, Bei Li, Ye Lin, Tong Xiao, Jingbo Zhu:
The NiuTrans System for the WMT 2021 Efficiency Task. WMT@EMNLP 2021: 787-794 - [i25]Yanyang Li, Ye Lin, Tong Xiao, Jingbo Zhu:
An Efficient Transformer Decoder with Compressed Sub-layers. CoRR abs/2101.00542 (2021) - [i24]Bei Li, Quan Du, Tao Zhou, Shuhan Zhou, Xin Zeng, Tong Xiao, Jingbo Zhu:
ODE Transformer: An Ordinary Differential Equation-Inspired Model for Neural Machine Translation. CoRR abs/2104.02308 (2021) - [i23]Chen Xu, Bojie Hu, Yanyang Li, Yuhao Zhang, Shen Huang, Qi Ju, Tong Xiao, Jingbo Zhu:
Stacked Acoustic-and-Textual Encoding: Integrating the Pre-trained Models into Speech Translation Encoders. CoRR abs/2105.05752 (2021) - [i22]Chen Xu, Xiaoqian Liu, Xiaowen Liu, Laohu Wang, Canan Huang, Tong Xiao, Jingbo Zhu:
The NiuTrans End-to-End Speech Translation System for IWSLT 2021 Offline Task. CoRR abs/2107.02444 (2021) - [i21]Ye Lin, Yanyang Li, Tong Xiao, Jingbo Zhu:
Bag of Tricks for Optimizing Transformer Efficiency. CoRR abs/2109.04030 (2021) - [i20]Chi Hu, Chenglong Wang, Xiangnan Ma, Xia Meng, Yinqiao Li, Tong Xiao, Jingbo Zhu, Changliang Li:
RankNAS: Efficient Neural Architecture Search by Pairwise Ranking. CoRR abs/2109.07383 (2021) - [i19]Chenglong Wang, Chi Hu, Yongyu Mu, Zhongxiang Yan, Siming Wu, Minyi Hu, Hang Cao, Bei Li, Ye Lin, Tong Xiao, Jingbo Zhu:
The NiuTrans System for the WMT21 Efficiency Task. CoRR abs/2109.08003 (2021) - [i18]Chi Hu, Bei Li, Ye Lin, Yinqiao Li, Yanyang Li, Chenglong Wang, Tong Xiao, Jingbo Zhu:
The NiuTrans System for WNGT 2020 Efficiency Task. CoRR abs/2109.08008 (2021) - [i17]Shuhan Zhou, Tao Zhou, Binghao Wei, Yingfeng Luo, Yongyu Mu, Zefan Zhou, Chenglong Wang, Xuanjun Zhou, Chuanhao Lv, Yi Jing, Laohu Wang, Jingnan Zhang, Canan Huang, Zhongxiang Yan, Chi Hu, Bei Li, Tong Xiao, Jingbo Zhu:
The NiuTrans Machine Translation Systems for WMT21. CoRR abs/2109.10485 (2021) - 2020
- [c101]Yanyang Li, Qiang Wang, Tong Xiao, Tongran Liu, Jingbo Zhu:
Neural Machine Translation with Joint Representation. AAAI 2020: 8285-8292 - [c100]Bei Li, Hui Liu, Ziyang Wang, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu, Changliang Li:
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation. ACL 2020: 3512-3518 - [c99]Yinqiao Li, Chi Hu, Yuhao Zhang, Nuo Xu, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu, Changliang Li:
Learning Architectures from an Extended Search Space for Language Modeling. ACL 2020: 6629-6639 - [c98]Chi Hu, Bei Li, Yinqiao Li, Ye Lin, Yanyang Li, Chenglong Wang, Tong Xiao, Jingbo Zhu:
The NiuTrans System for WNGT 2020 Efficiency Task. NGT@ACL 2020: 204-210 - [c97]Chen Xu, Bojie Hu, Yufan Jiang, Kai Feng, Zeyang Wang, Shen Huang, Qi Ju, Tong Xiao, Jingbo Zhu:
Dynamic Curriculum Learning for Low-Resource Neural Machine Translation. COLING 2020: 3977-3989 - [c96]Qiang Wang, Changliang Li, Yue Zhang, Tong Xiao, Jingbo Zhu:
Layer-Wise Multi-View Learning for Neural Machine Translation. COLING 2020: 4275-4286 - [c95]Yanyang Li, Yingfeng Luo, Ye Lin, Quan Du, Huizhen Wang, Shujian Huang, Tong Xiao, Jingbo Zhu:
A Simple and Effective Approach to Robust Unsupervised Bilingual Dictionary Induction. COLING 2020: 5990-6001 - [c94]Bei Li, Ziyang Wang, Hui Liu, Yufan Jiang, Quan Du, Tong Xiao, Huizhen Wang, Jingbo Zhu:
Shallow-to-Deep Training for Neural Machine Translation. EMNLP (1) 2020: 995-1005 - [c93]Qiang Wang, Tong Xiao, Jingbo Zhu:
Training Flexible Depth Model by Multi-Task Learning for Neural Machine Translation. EMNLP (Findings) 2020: 4307-4312 - [c92]Ye Lin, Yanyang Li, Tengbo Liu, Tong Xiao, Tongran Liu, Jingbo Zhu:
Towards Fully 8-bit Integer Inference for the Transformer Model. IJCAI 2020: 3759-3765 - [c91]Yuhao Zhang, Ziyang Wang, Runzhe Cao, Binghao Wei, Weiqiao Shan, Shuhan Zhou, Abudurexiti Reheman, Tao Zhou, Xin Zeng, Laohu Wang, Yongyu Mu, Jingnan Zhang, Xiaoqian Liu, Xuanjun Zhou, Yinqiao Li, Bei Li, Tong Xiao, Jingbo Zhu:
The NiuTrans Machine Translation Systems for WMT20. WMT@EMNLP 2020: 338-345 - [c90]Chi Hu, Hui Liu, Kai Feng, Chen Xu, Nuo Xu, Zefan Zhou, Shiqin Yan, Yingfeng Luo, Chenglong Wang, Xia Meng, Tong Xiao, Jingbo Zhu:
The NiuTrans System for the WMT20 Quality Estimation Shared Task. WMT@EMNLP 2020: 1018-1023 - [i16]Yanyang Li, Qiang Wang, Tong Xiao, Tongran Liu, Jingbo Zhu:
Neural Machine Translation with Joint Representation. CoRR abs/2002.06546 (2020) - [i15]Qiang Wang, Fuxue Li, Tong Xiao, Yanyang Li, Yinqiao Li, Jingbo Zhu:
Multi-layer Representation Fusion for Neural Machine Translation. CoRR abs/2002.06714 (2020) - [i14]Yinqiao Li, Chi Hu, Yuhao Zhang, Nuo Xu, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu, Changliang Li:
Learning Architectures from an Extended Search Space for Language Modeling. CoRR abs/2005.02593 (2020) - [i13]Bei Li, Hui Liu, Ziyang Wang, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu, Changliang Li:
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation. CoRR abs/2005.03393 (2020) - [i12]Ye Lin, Yanyang Li, Tengbo Liu, Tong Xiao, Tongran Liu, Jingbo Zhu:
Towards Fully 8-bit Integer Inference for the Transformer Model. CoRR abs/2009.08034 (2020) - [i11]Ye Lin, Yanyang Li, Ziyang Wang, Bei Li, Quan Du, Tong Xiao, Jingbo Zhu:
Weight Distillation: Transferring the Knowledge in Neural Network Parameters. CoRR abs/2009.09152 (2020) - [i10]Bei Li, Ziyang Wang, Hui Liu, Yufan Jiang, Quan Du, Tong Xiao, Huizhen Wang, Jingbo Zhu:
Shallow-to-Deep Training for Neural Machine Translation. CoRR abs/2010.03737 (2020) - [i9]Qiang Wang, Tong Xiao, Jingbo Zhu:
Training Flexible Depth Model by Multi-Task Learning for Neural Machine Translation. CoRR abs/2010.08265 (2020) - [i8]Qiang Wang, Changliang Li, Yue Zhang, Tong Xiao, Jingbo Zhu:
Layer-Wise Multi-View Learning for Neural Machine Translation. CoRR abs/2011.01482 (2020) - [i7]Chen Xu, Bojie Hu, Yufan Jiang, Kai Feng, Zeyang Wang, Shen Huang, Qi Ju, Tong Xiao, Jingbo Zhu:
Dynamic Curriculum Learning for Low-Resource Neural Machine Translation. CoRR abs/2011.14608 (2020) - [i6]Yanyang Li, Yingfeng Luo, Ye Lin, Quan Du, Huizhen Wang, Shujian Huang, Tong Xiao, Jingbo Zhu:
A Simple and Effective Approach to Robust Unsupervised Bilingual Dictionary Induction. CoRR abs/2011.14874 (2020) - [i5]Bei Li, Ziyang Wang, Hui Liu, Quan Du, Tong Xiao, Chunliang Zhang, Jingbo Zhu:
Learning Light-Weight Translation Models from Deep Transformer. CoRR abs/2012.13866 (2020)
2010 – 2019
- 2019
- [c89]Qiang Wang, Bei Li, Tong Xiao, Jingbo Zhu, Changliang Li, Derek F. Wong, Lidia S. Chao:
Learning Deep Transformer Models for Machine Translation. ACL (1) 2019: 1810-1822 - [c88]Xuebo Liu, Derek F. Wong, Yang Liu, Lidia S. Chao, Tong Xiao, Jingbo Zhu:
Shared-Private Bilingual Word Embeddings for Neural Machine Translation. ACL (1) 2019: 3613-3622 - [c87]Ziyang Wang, Hui Liu, Hexuan Chen, Kai Feng, Zeyang Wang, Bei Li, Chen Xu, Tong Xiao, Jingbo Zhu:
NiuTrans Submission for CCMT19 Quality Estimation Task. CCMT 2019: 82-92 - [c86]Yufan Jiang, Chi Hu, Tong Xiao, Chunliang Zhang, Jingbo Zhu:
Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition. EMNLP/IJCNLP (1) 2019: 3583-3588 - [c85]Tong Xiao, Yinqiao Li, Jingbo Zhu, Zhengtao Yu, Tongran Liu:
Sharing Attention Weights for Fast Transformer. IJCAI 2019: 5292-5298 - [c84]Nuo Xu, Yinqiao Li, Chen Xu, Yanyang Li, Bei Li, Tong Xiao, Jingbo Zhu:
Analysis of Back-Translation Methods for Low-Resource Neural Machine Translation. NLPCC (2) 2019: 466-475 - [c83]Bei Li, Yinqiao Li, Chen Xu, Ye Lin, Jiqiang Liu, Hui Liu, Ziyang Wang, Yuhao Zhang, Nuo Xu, Zeyang Wang, Kai Feng, Hexuan Chen, Tengbo Liu, Yanyang Li, Qiang Wang, Tong Xiao, Jingbo Zhu:
The NiuTrans Machine Translation Systems for WMT19. WMT (2) 2019: 257-266 - [i4]Qiang Wang, Bei Li, Tong Xiao, Jingbo Zhu, Changliang Li, Derek F. Wong, Lidia S. Chao:
Learning Deep Transformer Models for Machine Translation. CoRR abs/1906.01787 (2019) - [i3]Xuebo Liu, Derek F. Wong, Yang Liu, Lidia S. Chao, Tong Xiao, Jingbo Zhu:
Shared-Private Bilingual Word Embeddings for Neural Machine Translation. CoRR abs/1906.03100 (2019) - [i2]Tong Xiao, Yinqiao Li, Jingbo Zhu, Zhengtao Yu, Tongran Liu:
Sharing Attention Weights for Fast Transformer. CoRR abs/1906.11024 (2019) - 2018
- [j22]Qiang Li, Derek F. Wong, Lidia S. Chao, Muhua Zhu, Tong Xiao, Jingbo Zhu, Min Zhang:
Linguistic Knowledge-Aware Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 26(12): 2341-2354 (2018) - [c82]Yanyang Li, Tong Xiao, Yinqiao Li, Qiang Wang, Changming Xu, Jingbo Zhu:
A Simple and Effective Approach to Coverage-Aware Neural Machine Translation. ACL (2) 2018: 292-297 - [c81]Qiang Wang, Fuxue Li, Tong Xiao, Yanyang Li, Yinqiao Li, Jingbo Zhu:
Multi-layer Representation Fusion for Neural Machine Translation. COLING 2018: 3015-3026 - [c80]Yuejia Xiang, Huizheng Wang, Duo Ji, Zheyang Zhang, Jingbo Zhu:
NEUTag's Classification System for Zhihu Questions Tagging Task. NLPCC (1) 2018: 279-288 - [c79]Qiang Wang, Tong Xiao, Jingbo Zhu:
Source Segment Encoding for Neural Machine Translation. NLPCC (1) 2018: 329-340 - [c78]Qi Chen, Oi Yee Kwong, Jingbo Zhu:
Detecting Free Translation in Parallel Corpora from Attention Scores. PACLIC 2018 - [c77]Qiang Wang, Bei Li, Jiqiang Liu, Bojian Jiang, Zheyang Zhang, Yinqiao Li, Ye Lin, Tong Xiao, Jingbo Zhu:
The NiuTrans Machine Translation System for WMT18. WMT (shared task) 2018: 528-534 - 2017
- [j21]Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu:
Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Comput. Intell. 33(3): 428-447 (2017) - [c76]Qiang Li, Yaqian Han, Tong Xiao, Jingbo Zhu:
Context Sensitive Word Deletion Model for Statistical Machine Translation. CCL 2017: 73-84 - [c75]Fuxue Li, Quan Du, Qiang Wang, Tong Xiao, Jingbo Zhu:
Handling Many-To-One UNK Translation for Neural Machine Translation. CWMT 2017: 102-111 - [c74]Baosong Yang, Derek F. Wong, Tong Xiao, Lidia S. Chao, Jingbo Zhu:
Towards Bidirectional Hierarchical Representations for Attention-based Neural Machine Translation. EMNLP 2017: 1432-1441 - [c73]Tong Xiao, Jingbo Zhu, Tongran Liu, Chunliang Zhang:
Fast Parallel Training of Neural Language Models. IJCAI 2017: 4193-4199 - [i1]Baosong Yang, Derek F. Wong, Tong Xiao, Lidia S. Chao, Jingbo Zhu:
Towards Bidirectional Hierarchical Representations for Attention-Based Neural Machine Translation. CoRR abs/1707.05114 (2017) - 2016
- [j20]Tong Xiao, Derek F. Wong, Jingbo Zhu:
A Loss-Augmented Approach to Training Syntactic Machine Translation Systems. IEEE ACM Trans. Audio Speech Lang. Process. 24(11): 2069-2083 (2016) - [c72]Tong Xiao, Jingbo Zhu, Chunliang Zhang, Tongran Liu:
Syntactic Skeleton-Based Translation. AAAI 2016: 2856-2862 - [c71]Sai Wu, Weichao Ren, Chengchao Yu, Gang Chen, Dongxiang Zhang, Jingbo Zhu:
Personal recommendation using deep recurrent neural networks in NetEase. ICDE 2016: 1218-1229 - [c70]Qiang Li, Dongdong Zhang, Mu Li, Tong Xiao, Jingbo Zhu:
Better Addressing Word Deletion for Statistical Machine Translation. NLPCC/ICCPOL 2016: 91-102 - 2015
- [j19]Muhua Zhu, Jingbo Zhu, Huizhen Wang:
Improving shift-reduce constituency parsing with large-scale unlabeled data. Nat. Lang. Eng. 21(1): 113-138 (2015) - [j18]Jingbo Zhu, Qiang Li, Tong Xiao:
Improving syntactic rule extraction through deleting spurious links with translation span alignment. Nat. Lang. Eng. 21(2): 227-249 (2015) - [c69]Jingbo Zhu, Muhua Zhu, Qiang Wang, Tong Xiao:
NiuParser: A Chinese Syntactic and Semantic Parsing Toolkit. ACL (System Demonstrations) 2015: 145-150 - 2014
- [c68]Ji Ma, Yue Zhang, Jingbo Zhu:
Tagging The Web: Building A Robust Web Tagger with Neural Network. ACL (1) 2014: 144-154 - [c67]Tong Xiao, Jingbo Zhu, Chunliang Zhang:
A Hybrid Approach to Skeleton-based Translation. ACL (2) 2014: 563-568 - [c66]Ji Ma, Yue Zhang, Jingbo Zhu:
Punctuation Processing for Projective Dependency Parsing. ACL (2) 2014: 791-796 - [c65]Tong Xiao, Adrià de Gispert, Jingbo Zhu, Bill Byrne:
Effective Incorporation of Source Syntax into Hierarchical Phrase-based Translation. COLING 2014: 2064-2074 - [c64]Yue Zhang, Kai Song, Linfeng Song, Jingbo Zhu, Qun Liu:
Syntactic SMT Using a Discriminative Text Generation Model. EMNLP 2014: 177-182 - 2013
- [j17]Tong Xiao, Jingbo Zhu, Tongran Liu:
Bagging and Boosting statistical machine translation systems. Artif. Intell. 195: 496-527 (2013) - [j16]Tong Xiao, Jingbo Zhu:
Unsupervised Sub-tree Alignment for Tree-to-Tree Translation. J. Artif. Intell. Res. 48: 733-782 (2013) - [j15]Muhua Zhu, Jingbo Zhu, Huizhen Wang:
A feature-based approach to better automatic treebank conversion. Lang. Resour. Evaluation 47(4): 1213-1231 (2013) - [c63]Ji Ma, Jingbo Zhu, Tong Xiao, Nan Yang:
Easy-First POS Tagging and Dependency Parsing with Beam Search. ACL (2) 2013: 110-114 - [c62]Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, Jingbo Zhu:
Fast and Accurate Shift-Reduce Constituent Parsing. ACL (1) 2013: 434-443 - [c61]Chunliang Zhang, Minghan Hu, Tong Xiao, Xue Jiang, Lixin Shi, Jingbo Zhu:
Chinese Sentence Compression: Corpus and Evaluation. CCL 2013: 257-267 - [e1]Liang-Chih Yu, Yuen-Hsien Tseng, Jingbo Zhu, Fuji Ren:
Proceedings of the Seventh SIGHAN Workshop on Chinese Language Processing, SIGHAN@IJCNLP 2013, Nagoya, Japan, October 14-18, 2013. Asian Federation of Natural Language Processing 2013, ISBN 978-4-9907348-5-5 [contents] - 2012
- [j14]Jingbo Zhu, Chunliang Zhang, Matthew Y. Ma:
Multi-Aspect Rating Inference with Aspect-Based Segmentation. IEEE Trans. Affect. Comput. 3(4): 469-481 (2012) - [j13]Jingbo Zhu, Matthew Y. Ma:
Uncertainty-based active learning with instability estimation for text classification. ACM Trans. Speech Lang. Process. 8(4): 5:1-5:21 (2012) - [c60]Tong Xiao, Jingbo Zhu, Hao Zhang, Qiang Li:
NiuTrans: An Open Source Toolkit for Phrase-based and Syntax-based Machine Translation. ACL (System Demonstrations) 2012: 19-24 - [c59]Jingbo Zhu, Tong Xiao, Chunliang Zhang:
Learning Better Rule Extraction with Translation Span Alignment. ACL (2) 2012: 280-284 - [c58]Ji Ma, LongFei Bai, Zhuo Liu, Ao Zhang, Jingbo Zhu:
NEU Systems in SIGHAN Bakeoff 2012. CIPS-SIGHAN 2012: 206-210 - [c57]Ji Ma, Tong Xiao, Jingbo Zhu, Feiliang Ren:
Easy-First Chinese POS Tagging and Dependency Parsing. COLING 2012: 1731-1746 - [c56]Muhua Zhu, Jingbo Zhu, Huizhen Wang:
Exploiting Lexical Dependencies from Large-Scale Data for Better Shift-Reduce Constituency Parsing. COLING 2012: 3171-3186 - 2011
- [j12]Jingbo Zhu, Huizhen Wang, Muhua Zhu, Benjamin K. Tsou, Matthew Y. Ma:
Aspect-Based Opinion Polling from Customer Reviews. IEEE Trans. Affect. Comput. 2(1): 37-49 (2011) - [j11]Muhua Zhu, Jingbo Zhu, Tong Xiao:
Automatic Treebank Conversion via Informed Decoding - A Case Study on Chinese Treebanks. ACM Trans. Asian Lang. Inf. Process. 10(3): 12:1-12:24 (2011) - [j10]Tong Xiao, Jingbo Zhu, Muhua Zhu:
Language Modeling for Syntax-Based Machine Translation Using Tree Substitution Grammars: A Case Study on Chinese-English Translation. ACM Trans. Asian Lang. Inf. Process. 10(4): 18:1-18:29 (2011) - [c55]Jingbo Zhu, Tong Xiao:
Improving Decoding Generalization for Tree-to-String Translation. ACL (2) 2011: 418-423 - [c54]Muhua Zhu, Jingbo Zhu, Minghan Hu:
Better Automatic Treebank Conversion Using A Feature-Based Approach. ACL (2) 2011: 715-719 - [c53]Tong Xiao, Jingbo Zhu, Shujie Yao, Hao Zhang:
Document-level Consistency Verification in Machine Translation. MTSummit 2011 - [c52]Tong Xiao, Qiang Li, Qi Lu, Hao Zhang, Haibo Ding, Shujie Yao, Xiaoming Xu, Xiaoxu Fei, Jingbo Zhu, Feiliang Ren, Huizhen Wang:
The NiuTrans Machine Translation System for NTCIR-9 PatentMT. NTCIR 2011 - 2010
- [j9]Jingbo Zhu, Huizhen Wang, Benjamin K. Tsou, Matthew Y. Ma:
Active Learning With Sampling by Uncertainty and Density for Data Annotations. IEEE Trans. Speech Audio Process. 18(6): 1323-1331 (2010) - [j8]Jingbo Zhu, Huizhen Wang, Eduard H. Hovy, Matthew Y. Ma:
Confidence-based stopping criteria for active learning for data annotation. ACM Trans. Speech Lang. Process. 6(3): 3:1-3:24 (2010) - [c51]Tong Xiao, Jingbo Zhu, Muhua Zhu, Huizhen Wang:
Boosting-Based System Combination for Machine Translation. ACL 2010: 739-748 - [c50]Bin Lu, Benjamin Ka-Yin T'sou, Tao Jiang, Oi Yee Kwong, Jingbo Zhu:
Mining Large-scale Parallel Corpora from Multilingual Patents: An English-Chinese example and its application to SMT. CIPS-SIGHAN 2010 - [c49]Huizhen Wang, Haibo Ding, Yingchao Shi, Ji Ma, Xiao Zhou, Jingbo Zhu:
A Multi-stage Clustering Framework for Chinese Personal Name Disambiguation. CIPS-SIGHAN 2010 - [c48]Xiaoming Xu, Muhua Zhu, Xiaoxu Fei, Jingbo Zhu:
High OOV-Recall Chinese Word Segmenter. CIPS-SIGHAN 2010 - [c47]Hao Zhang, Tong Xiao, Jingbo Zhu:
NEUNLPLab Chinese Word Sense Induction System for SIGHAN Bakeoff 2010. CIPS-SIGHAN 2010 - [c46]Qiang Zhou, Jingbo Zhu:
Chinese Syntactic Parsing Evaluation. CIPS-SIGHAN 2010 - [c45]Muhua Zhu, Jingbo Zhu, Tong Xiao:
Heterogeneous Parsing via Collaborative Decoding. COLING 2010: 1344-1352 - [c44]Tong Xiao, Jingbo Zhu, Hao Zhang, Muhua Zhu:
An Empirical Study of Translation Rule Extraction with Multiple Parsers. COLING (Posters) 2010: 1345-1353 - [c43]Muhua Zhu, Jingbo Zhu:
Automatic Treebank Conversion via Informed Decoding. COLING (Posters) 2010: 1541-1549 - [c42]Huizhen Wang, Jingbo Zhu:
Learning topic knowledge to improve Chinese word sense disambiguation. IUCS 2010: 175-180 - [c41]Haibo Ding, Muhua Zhu, Jingbo Zhu:
A reranking method for syntactic parsing with heterogeneous treebanks. NLPKE 2010: 1-4 - [c40]Xiaoxu Fei, Huizhen Wang, Jingbo Zhu:
Sentiment word identification using the maximum entropy model. NLPKE 2010: 1-4 - [c39]Feiliang Ren, Jingbo Zhu, Huizhen Wang:
A novel Chinese-English on translation method using mix-language web pages. NLPKE 2010: 1-8 - [c38]Feiliang Ren, Jingbo Zhu, Huizhen Wang:
Web-based technical term translation pairs mining for patent document translation. NLPKE 2010: 1-8 - [c37]Chunliang Zhang, Xiaoxu Fei, Jingbo Zhu:
Negation disambiguation using the maximum entropy model. NLPKE 2010: 1-5 - [c36]Hao Zhang, Huizhen Wang, Tong Xiao, Jingbo Zhu:
The impact of parsing accuracy on syntax-based SMT. NLPKE 2010: 1-4
2000 – 2009
- 2009
- [j7]Jingbo Zhu, Huizhen Wang, Benjamin K. Tsou:
Learning Representative Examples for Data Annotation. Int. J. Comput. Process. Orient. Lang. 22(2-3): 155-169 (2009) - [c35]Feiliang Ren, Muhua Zhu, Huizhen Wang, Jingbo Zhu:
Chinese-English Organization Name Translation Based on Correlative Expansion. NEWS@IJCNLP 2009: 143-151 - [c34]Jingbo Zhu, Muhua Zhu, Huizhen Wang, Benjamin K. Tsou:
Aspect-based sentence segmentation for sentiment summarization. TSA@CIKM 2009: 65-72 - [c33]Muhua Zhu, Huizhen Wang, Jingbo Zhu:
Label correspondence learning for part-of-speech annotation transformation. CIKM 2009: 1461-1464 - [c32]Jingbo Zhu, Huizhen Wang, Benjamin K. Tsou, Muhua Zhu:
Multi-aspect opinion polling from textual reviews. CIKM 2009: 1799-1802 - [c31]Tong Xiao, Mu Li, Dongdong Zhang, Jingbo Zhu, Ming Zhou:
Better Synchronous Binarization for Machine Translation. EMNLP 2009: 362-370 - [c30]Jingbo Zhu, Huizhen Wang, Benjamin K. Tsou:
A Density-Based Re-ranking Technique for Active Learning for Data Annotations. ICCPOL 2009: 1-10 - [c29]Feiliang Ren, Jingbo Zhu, Huizhen Wang:
Translate Chinese organization names using examples and web. NLPKE 2009: 1-7 - [c28]Chunliang Zhang, Jingbo Zhu:
Multi-class bootstrapping learning aspect-related terms for aspect identification. NLPKE 2009: 1-6 - 2008
- [j6]Zhenxing Wang, Changning Huang, Jingbo Zhu:
A Study on in-Vocabulary Word Segmentation. Int. J. Comput. Process. Orient. Lang. 21(2): 123-134 (2008) - [j5]Feiliang Ren, Jingbo Zhu, Huizhen Wang, Tong Xiao:
An Effective Approach for Coreference Resolution. Int. J. Comput. Process. Orient. Lang. 21(2): 135-149 (2008) - [c27]Na Ye, Jingbo Zhu, Yan Zheng, Matthew Y. Ma, Huizhen Wang, Bin Zhang:
A Dynamic Programming Model for Text Segmentation Based on Min-Max Similarity. AIRS 2008: 141-152 - [c26]Jingbo Zhu, Huizhen Wang, Eduard H. Hovy:
Multi-Criteria-Based Strategy to Stop Active Learning for Data Annotation. COLING 2008: 1129-1136 - [c25]Jingbo Zhu, Huizhen Wang, Tianshun Yao, Benjamin K. Tsou:
Active Learning with Sampling by Uncertainty and Density for Word Sense Disambiguation and Text Classification. COLING 2008: 1137-1144 - [c24]Chuan Zhu, Matthew Y. Ma, Chunguang Tan, Guiran Chang, Jingbo Zhu, Qiaozhe An:
A Recommender Handoff Framework for a Mobile Device. WMMP 2008: 137-153 - [c23]Feiliang Ren, Jingbo Zhu:
An Effective Hybrid Machine Learning Approach for Coreference Resolution. IJCNLP 2008: 24-30 - [c22]Zhenxing Wang, Changning Huang, Jingbo Zhu:
Which Performs Better on In-Vocabulary Word Segmentation: Based on Word or Character? IJCNLP 2008: 61-68 - [c21]Zhenxing Wang, Changning Huang, Jingbo Zhu:
The Character-based CRF Segmenter of MSRA&NEU for the 4th Bakeoff. IJCNLP 2008: 98-101 - [c20]Jingbo Zhu, Huizhen Wang, Eduard H. Hovy:
Learning a Stopping Criterion for Active Learning for Word Sense Disambiguation and Text Classification. IJCNLP 2008: 366-372 - [c19]Donghui Feng, Gully Burns, Jingbo Zhu, Eduard H. Hovy:
Towards Automated Semantic Analysis on Biomedical Research Articles. IJCNLP 2008: 871-876 - [c18]Huizhen Wang, Jingbo Zhu, Keh-Yih Su:
Divergence-based feature selection for naïve Bayes text classification. NLPKE 2008: 1-7 - [c17]Tong Xiao, Feifei Cao, Tianning Li, Guolong Song, Ke Zhou, Jingbo Zhu, Huizhen Wang:
KNN and Re-ranking Models for English Patent Mining at NTCIR-7. NTCIR 2008 - [c16]Chunliang Zhang, Ke Wang, Muhua Zhu, Tong Xiao, Jingbo Zhu:
NEUOM: Identifying Opinionated Sentences in Chinese and English Text. NTCIR 2008 - [p1]Jingbo Zhu, Matthew Y. Ma, Jinhong Katherine Guo, Zhenxing Wang:
Content Classification and Recommendation Techniques for Viewing Electronic Programming Guide on a Portable Device. Personalization Techniques and Recommender Systems 2008: 223-248 - 2007
- [j4]Jingbo Zhu, Matthew Y. Ma, Jinhong Katherine Guo, Zhenxing Wang:
Content Classification and Recommendation Techniques for Viewing Electronic Programming Guide on a Portable Device. Int. J. Pattern Recognit. Artif. Intell. 21(2): 375-395 (2007) - [j3]Na Ye, Jingbo Zhu, Huizhen Wang, Matthew Y. Ma, Bin Zhang:
An Improved Model of Dotplotting for Text Segmentation. J. Chin. Lang. Comput. 17(1): 27-40 (2007) - [c15]Jingbo Zhu, Eduard H. Hovy:
Active Learning for Word Sense Disambiguation with Methods for Addressing the Class Imbalance Problem. EMNLP-CoNLL 2007: 783-790 - [c14]Matthew Y. Ma, Jingbo Zhu, Jinhong Katherine Guo:
A Recommender Framework for Electronic Programming Guide on a Mobile Device. ICME 2007: 332-335 - 2006
- [c13]Muhua Zhu, Yilin Wang, Zhenxing Wang, Huizhen Wang, Jingbo Zhu:
Designing Special Post-Processing Rules for SVM-Based Chinese Word Segmentation. SIGHAN@COLING/ACL 2006: 217-220 - [c12]Jingbo Zhu, Huizhen Wang, Xijuan Zhang:
Discrimination-Based Feature Selection for Multinomial Naïve Bayes Text Classification. ICCPOL 2006: 149-156 - [c11]Guiran Chang, Chuan Zhu, Matthew Y. Ma, Weiguo Zhu, Jingbo Zhu:
Implementing a SIP-based Device Communication Middleware for OSGi Framework with Extension to Wireless Networks. IMSCCS (2) 2006: 603-310 - 2005
- [j2]Wenliang Chen, Jingbo Zhu, Muhua Zhu, Li Zhang, Tianshun Yao:
Improving Domain Dictionary-based Text Categorization Using Self-partition Model. Int. J. Comput. Process. Orient. Lang. 18(3): 197-210 (2005) - [c10]Jingbo Zhu, Wenliang Chen:
Some Studies on Chinese Domain Knowledge Dictionary and Its Application to Text Classification. SIGHAN@IJCNLP 2005 2005 - [c9]Yongmei Tan, Tianshun Yao, Qing Chen, Jingbo Zhu:
Applying Conditional Random Fields to Chinese Shallow Parsing. CICLing 2005: 167-176 - [c8]Jingbo Zhu, Na Ye, Xingzhi Chang, Wenliang Chen, Benjamin K. Tsou:
Using Multiple Discriminant Analysis Approach for Linear Text Segmentation. IJCNLP 2005: 292-301 - [c7]Jingbo Zhu, Wenliang Chen:
Improving Text Categorization Using Domain Knowledge. NLDB 2005: 103-113 - 2004
- [j1]Le Zhang, Jingbo Zhu, Tianshun Yao:
An evaluation of statistical spam filtering techniques. ACM Trans. Asian Lang. Inf. Process. 3(4): 243-269 (2004) - [c6]Wenliang Chen, Xingzhi Chang, Huizhen Wang, Jingbo Zhu, Tianshun Yao:
Automatic Word Clustering for Text Categorization Using Global Information. AIRS 2004: 1-11 - [c5]Wenliang Chen, Jingbo Zhu, Honglin Wu, Tianshun Yao:
Automatic Learning Features Using Bootstrapping for Text Categorization. CICLing 2004: 571-579 - [c4]Yongmei Tan, Tianshun Yao, Qing Chen, Jingbo Zhu:
Chinese Chunk Identification Using SVMs Plus Sigmoid. IJCNLP 2004: 527-536 - [c3]Jingbo Zhu, Wenliang Chen, Tianshun Yao:
Using Seed Words to Learn to Categorize Chinese Text. EsTAL 2004: 464-473 - [c2]Na Ye, Xuejun Wu, Jingbo Zhu, Wenliang Chen, Tianshun Yao:
Web Information Extraction Based on Similar Patterns. WAIM 2004: 646-651 - 2002
- [c1]Jingbo Zhu, Tianshun Yao:
A Knowledge-based Approach to Text Classification. SIGHAN@COLING 2002
Coauthor Index
[c155] [i75] [i73] [i70] [c154] [c152] [c151] [c149] [c147] [c144] [c143] [c142] [c141] [c138] [i69] [i63] [i61] [i58] [i54] [i53] [i52] [c130] [c129] [c124] [c123] [i48] [i45] [i44] [i38] [i35] [i34] [i33] [i31] [c119] [c118] [c115] [c114] [i30] [i29] [i28] [i26] [c112] [c110] [c103] [c102] [i24] [i19] [i18] [i17] [c100] [c98] [c94] [c91] [i13] [i11] [i10] [i5] [c89] [c87] [c84] [c83] [i4] [c77]
[c156] [c155] [i75] [i74] [i73] [i72] [i71] [i70] [c154] [c153] [c152] [c151] [c150] [c149] [c148] [c147] [c146] [c145] [c144] [c143] [c142] [c141] [c140] [c139] [c138] [c137] [c136] [c135] [i69] [i68] [i67] [i66] [i65] [i64] [i63] [i62] [i61] [i60] [i59] [i58] [i57] [i56] [i55] [i54] [i53] [i52] [j28] [c134] [c133] [c132] [c131] [c130] [c129] [c128] [c127] [c126] [c125] [c124] [c123] [c122] [c121] [c120] [i51] [i50] [i49] [i48] [i47] [i46] [i45] [i44] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [j26] [c119] [c118] [c117] [c116] [c115] [c114] [c113] [i30] [i29] [i28] [i27] [i26] [j25] [j23] [c112] [c111] [c110] [c109] [c108] [c107] [c106] [c104] [c103] [c102] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [c101] [c100] [c99] [c98] [c97] [c96] [c95] [c94] [c93] [c92] [c91] [c90] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [c89] [c88] [c87] [c86] [c85] [c84] [c83] [i4] [i3] [i2] [j22] [c82] [c81] [c79] [c77] [c76] [c75] [c74] [c73] [i1] [j20] [c72] [c70] [j18] [c69] [c67] [c65] [j17] [j16] [c63] [c61] [c60] [c59] [c57] [j11] [j10] [c55] [c53] [c52] [c51] [c47] [c45] [c44] [c36] [c31] [j5] [c17] [c16]
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