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2020 – today
- 2024
[j3]Chengyang Zhang, Yong Zhang, Qitan Shao, Jiangtao Feng, Bo Li, Yisheng Lv, Xinglin Piao, Baocai Yin:
BjTT: A Large-Scale Multimodal Dataset for Traffic Prediction. IEEE Trans. Intell. Transp. Syst. 25(11): 18992-19003 (2024)- [i22]Chengyang Zhang, Yong Zhang, Qitan Shao, Jiangtao Feng, Bo Li, Yisheng Lv, Xinglin Piao, Baocai Yin:
BjTT: A Large-scale Multimodal Dataset for Traffic Prediction. CoRR abs/2403.05029 (2024) - 2023
- [c18]Zhenyu Wu, Yaoxiang Wang, Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, Jingjing Xu, Yu Qiao:
OpenICL: An Open-Source Framework for In-context Learning. ACL (demo) 2023: 489-498 - [c17]Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, Lingpeng Kong:
DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models. EMNLP (Findings) 2023: 9868-9875 - [c16]Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, Lingpeng Kong:
DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models. ICLR 2023 - [c15]Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, Tao Yu, Lingpeng Kong:
Compositional Exemplars for In-context Learning. ICML 2023: 39818-39833 - [c14]Jun Zhang, Shuyang Jiang, Jiangtao Feng, Lin Zheng, Lingpeng Kong:
CAB: Comprehensive Attention Benchmarking on Long Sequence Modeling. ICML 2023: 41194-41218 - [c13]Shuyang Jiang, Jun Zhang, Jiangtao Feng, Lin Zheng, Lingpeng Kong:
Attentive Multi-Layer Perceptron for Non-autoregressive Generation. ECML/PKDD (2) 2023: 612-629 - [i21]Mukai Li, Shansan Gong, Jiangtao Feng, Yiheng Xu, Jun Zhang, Zhiyong Wu, Lingpeng Kong:
In-Context Learning with Many Demonstration Examples. CoRR abs/2302.04931 (2023) - [i20]Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, Tao Yu, Lingpeng Kong:
Compositional Exemplars for In-context Learning. CoRR abs/2302.05698 (2023) - [i19]Zhenyu Wu, Yaoxiang Wang, Jiacheng Ye, Jiangtao Feng, Jingjing Xu, Yu Qiao, Zhiyong Wu:
OpenICL: An Open-Source Framework for In-context Learning. CoRR abs/2303.02913 (2023) - [i18]Chenxin An, Jiangtao Feng, Fei Huang, Xipeng Qiu, Lingpeng Kong:
Optimizing Non-Autoregressive Transformers with Contrastive Learning. CoRR abs/2305.13667 (2023) - [i17]Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, Lingpeng Kong:
DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models. CoRR abs/2310.05793 (2023) - [i16]Shuyang Jiang, Jun Zhang, Jiangtao Feng, Lin Zheng, Lingpeng Kong:
Attentive Multi-Layer Perceptron for Non-autoregressive Generation. CoRR abs/2310.09512 (2023) - [i15]Jun Zhang, Shuyang Jiang, Jiangtao Feng, Lin Zheng, Lingpeng Kong:
Linear Attention via Orthogonal Memory. CoRR abs/2312.11135 (2023) - 2022
- [c12]Jiacheng Ye, Jiahui Gao, Zhiyong Wu, Jiangtao Feng, Tao Yu, Lingpeng Kong:
ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback. EMNLP (Findings) 2022: 3671-3683 - [c11]Jiacheng Ye, Jiahui Gao, Qintong Li, Hang Xu, Jiangtao Feng, Zhiyong Wu, Tao Yu, Lingpeng Kong:
ZeroGen: Efficient Zero-shot Learning via Dataset Generation. EMNLP 2022: 11653-11669 - [c10]Chenxin An, Jiangtao Feng, Kai Lv, Lingpeng Kong, Xipeng Qiu, Xuanjing Huang:
CoNT: Contrastive Neural Text Generation. NeurIPS 2022 - [i14]Jiacheng Ye, Jiahui Gao, Qintong Li, Hang Xu, Jiangtao Feng, Zhiyong Wu, Tao Yu, Lingpeng Kong:
ZeroGen: Efficient Zero-shot Learning via Dataset Generation. CoRR abs/2202.07922 (2022) - [i13]Chenxin An, Jiangtao Feng, Kai Lv, Lingpeng Kong, Xipeng Qiu, Xuanjing Huang:
CoNT: Contrastive Neural Text Generation. CoRR abs/2205.14690 (2022) - [i12]Jiangtao Feng, Yi Zhou, Jun Zhang, Xian Qian, Liwei Wu, Zhexi Zhang, Yanming Liu, Mingxuan Wang, Lei Li, Hao Zhou:
PARAGEN : A Parallel Generation Toolkit. CoRR abs/2210.03405 (2022) - [i11]Jun Zhang, Shuyang Jiang, Jiangtao Feng, Lin Zheng, Lingpeng Kong:
CAB: Comprehensive Attention Benchmarking on Long Sequence Modeling. CoRR abs/2210.07661 (2022) - [i10]Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, Lingpeng Kong:
DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models. CoRR abs/2210.08933 (2022) - [i9]Jiacheng Ye, Jiahui Gao, Jiangtao Feng, Zhiyong Wu, Tao Yu, Lingpeng Kong:
ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback. CoRR abs/2210.12329 (2022) - 2021
- [c9]Dongyu Ru, Changzhi Sun, Jiangtao Feng, Lin Qiu, Hao Zhou, Weinan Zhang, Yong Yu, Lei Li:
Learning Logic Rules for Document-Level Relation Extraction. EMNLP (1) 2021: 1239-1250 - [c8]Yaoming Zhu, Jiangtao Feng, Chengqi Zhao, Mingxuan Wang, Lei Li:
Counter-Interference Adapter for Multilingual Machine Translation. EMNLP (Findings) 2021: 2812-2823 - [c7]Lihua Qian, Yi Zhou, Zaixiang Zheng, Yaoming Zhu, Zehui Lin, Jiangtao Feng, Shanbo Cheng, Lei Li, Mingxuan Wang, Hao Zhou:
The Volctrans GLAT System: Non-autoregressive Translation Meets WMT21. WMT@EMNLP 2021: 187-196 - [i8]Liping Yuan, Jiangtao Feng, Xiaoqing Zheng, Xuanjing Huang:
Alleviate Exposure Bias in Sequence Prediction \\ with Recurrent Neural Networks. CoRR abs/2103.11603 (2021) - [i7]Yaoming Zhu, Jiangtao Feng, Chengqi Zhao, Mingxuan Wang, Lei Li:
Serial or Parallel? Plug-able Adapter for multilingual machine translation. CoRR abs/2104.08154 (2021) - [i6]Lihua Qian, Yi Zhou, Zaixiang Zheng, Yaoming Zhu, Zehui Lin, Jiangtao Feng, Shanbo Cheng, Lei Li, Mingxuan Wang, Hao Zhou:
The Volctrans GLAT System: Non-autoregressive Translation Meets WMT21. CoRR abs/2109.11247 (2021) - [i5]Dongyu Ru, Changzhi Sun, Jiangtao Feng, Lin Qiu, Hao Zhou, Weinan Zhang, Yong Yu, Lei Li:
Learning Logic Rules for Document-level Relation Extraction. CoRR abs/2111.05407 (2021) - 2020
- [c6]Zehui Lin, Xiao Pan, Mingxuan Wang, Xipeng Qiu, Jiangtao Feng, Hao Zhou, Lei Li:
Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information. EMNLP (1) 2020: 2649-2663 - [c5]Dongyu Ru, Jiangtao Feng, Lin Qiu, Hao Zhou, Mingxuan Wang, Weinan Zhang, Yong Yu, Lei Li:
Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space. EMNLP (Findings) 2020: 4908-4917 - [i4]Zehui Lin, Xiao Pan, Mingxuan Wang, Xipeng Qiu, Jiangtao Feng, Hao Zhou, Lei Li:
Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information. CoRR abs/2010.03142 (2020)
2010 – 2019
- 2019
- [i3]An Yan, Xin Wang, Jiangtao Feng, Lei Li, William Yang Wang:
Cross-Lingual Vision-Language Navigation. CoRR abs/1910.11301 (2019) - [i2]Yu Bao
, Hao Zhou, Jiangtao Feng, Mingxuan Wang, Shujian Huang, Jiajun Chen, Lei Li:
Non-autoregressive Transformer by Position Learning. CoRR abs/1911.10677 (2019) - 2018
- [j2]Jiangtao Feng, Qinhe Gao, Wenliang Guan, Zhen-xin He:
Mathematical modelling and backstepping adaptive sliding mode control for multi-stage hydraulic cylinder. Int. J. Model. Identif. Control. 30(4): 322-332 (2018) - [c4]Jiangtao Feng, Xiaoqing Zheng:
Geometric Relationship between Word and Context Representations. AAAI 2018: 5102-5109 - [c3]Yi Zhou, Junying Zhou, Lu Liu, Jiangtao Feng, Haoyuan Peng, Xiaoqing Zheng:
RNN-Based Sequence-Preserved Attention for Dependency Parsing. AAAI 2018: 5738-5746 - [i1]Jiangtao Feng, Lingpeng Kong, Po-Sen Huang, Chong Wang, Da Huang, Jiayuan Mao, Kan Qiao, Dengyong Zhou:
Neural Phrase-to-Phrase Machine Translation. CoRR abs/1811.02172 (2018) - 2017
- [c2]Xiaoqing Zheng, Jiangtao Feng, Yi Chen, Haoyuan Peng, Wenqing Zhang:
Learning Context-Specific Word/Character Embeddings. AAAI 2017: 3393-3399 - 2016
- [c1]Xiaoqing Zheng, Jiangtao Feng, Mengxiao Lin, Wenqiang Zhang:
Context-Specific and Multi-Prototype Character Representations. IJCAI 2016: 3007-3013 - 2014
- [j1]Yao Sun, Rui Zhang, Ding Li, Lingling Feng, Di Wu, Lina Feng, Peipei Huang, Yanliang Ren, Jiangtao Feng, San Xiao, Jian Wan:
Pharmacophore-Based Virtual Screening and Experimental Validation of Novel Inhibitors against Cyanobacterial Fructose-1, 6-/Sedoheptulose-1, 7-bisphosphatase. J. Chem. Inf. Model. 54(3): 894-901 (2014)
Coauthor Index
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