Pharmacophore-Based Virtual Screening and Experimental Validation of Novel Inhibitors against Cyanobacterial Fructose-1, 6-/Sedoheptulose-1, 7-bisphosphatase. - Yao Sun; Rui Zhang; Ding Li 003; Lingling Feng; Di Wu; Lina Feng; Peipei Huang; Yanliang Ren; Jiangtao Feng; San Xiao; Jian Wan 004 (J. Chem. Inf. Model., 2014)

Context-Specific and Multi-Prototype Character Representations. - Xiaoqing Zheng; Jiangtao Feng; Mengxiao Lin; Wenqiang Zhang (IJCAI, 2016)

Learning Context-Specific Word/Character Embeddings. - Xiaoqing Zheng; Jiangtao Feng; Yi Chen; Haoyuan Peng; Wenqing Zhang (AAAI, 2017)

Geometric Relationship between Word and Context Representations. - Jiangtao Feng; Xiaoqing Zheng (AAAI, 2018)

RNN-Based Sequence-Preserved Attention for Dependency Parsing. - Yi Zhou 018; Junying Zhou; Lu Liu; Jiangtao Feng; Haoyuan Peng; Xiaoqing Zheng (AAAI, 2018)

Neural Phrase-to-Phrase Machine Translation. - Jiangtao Feng; Lingpeng Kong; Po-Sen Huang; Chong Wang; Da Huang; Jiayuan Mao; Kan Qiao; Dengyong Zhou (CoRR, 2018)

Mathematical modelling and backstepping adaptive sliding mode control for multi-stage hydraulic cylinder. - Jiangtao Feng; Qinhe Gao; Wenliang Guan; Zhen-xin He (Int. J. Model. Identif. Control., 2018)

Cross-Lingual Vision-Language Navigation. - An Yan 003; Xin Wang 061; Jiangtao Feng; Lei Li 005; William Yang Wang (CoRR, 2019)

Non-autoregressive Transformer by Position Learning. - Yu Bao; Hao Zhou 012; Jiangtao Feng; Mingxuan Wang; Shujian Huang; Jiajun Chen 001; Lei Li 005 (CoRR, 2019)

Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information. - Zehui Lin; Xiao Pan; Mingxuan Wang; Xipeng Qiu; Jiangtao Feng; Hao Zhou 012; Lei Li 005 (EMNLP (1), 2020)

Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space. - Dongyu Ru; Jiangtao Feng; Lin Qiu; Hao Zhou 012; Mingxuan Wang; Weinan Zhang 001; Yong Yu 001; Lei Li 005 (EMNLP (Findings), 2020)

Learning Logic Rules for Document-Level Relation Extraction. - Dongyu Ru; Changzhi Sun; Jiangtao Feng; Lin Qiu; Hao Zhou 012; Weinan Zhang 001; Yong Yu 001; Lei Li 005 (EMNLP (1), 2021)

Counter-Interference Adapter for Multilingual Machine Translation. - Yaoming Zhu; Jiangtao Feng; Chengqi Zhao; Mingxuan Wang; Lei Li 005 (EMNLP (Findings), 2021)

The Volctrans GLAT System: Non-autoregressive Translation Meets WMT21. - Lihua Qian; Yi Zhou 018; Zaixiang Zheng; Yaoming Zhu; Zehui Lin; Jiangtao Feng; Shanbo Cheng; Lei Li 005; Mingxuan Wang; Hao Zhou 012 (WMT@EMNLP, 2021)

Alleviate Exposure Bias in Sequence Prediction with Recurrent Neural Networks. - Liping Yuan; Jiangtao Feng; Xiaoqing Zheng; Xuanjing Huang 001 (CoRR, 2021)

Serial or Parallel? Plug-able Adapter for multilingual machine translation. - Yaoming Zhu; Jiangtao Feng; Chengqi Zhao; Mingxuan Wang; Lei Li 005 (CoRR, 2021)

ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback. - Jiacheng Ye; Jiahui Gao; Zhiyong Wu 003; Jiangtao Feng; Tao Yu 009; Lingpeng Kong (EMNLP (Findings), 2022)

ZeroGen: Efficient Zero-shot Learning via Dataset Generation. - Jiacheng Ye; Jiahui Gao; Qintong Li; Hang Xu 004; Jiangtao Feng; Zhiyong Wu 003; Tao Yu 009; Lingpeng Kong (EMNLP, 2022)

CoNT: Contrastive Neural Text Generation. - Chenxin An; Jiangtao Feng; Kai Lv 001; Lingpeng Kong; Xipeng Qiu; Xuanjing Huang 001 (NeurIPS, 2022)

PARAGEN : A Parallel Generation Toolkit. - Jiangtao Feng; Yi Zhou 018; Jun Zhang; Xian Qian; Liwei Wu; Zhexi Zhang; Yanming Liu; Mingxuan Wang; Lei Li 005; Hao Zhou 012 (CoRR, 2022)

OpenICL: An Open-Source Framework for In-context Learning. - Zhenyu Wu; Yaoxiang Wang; Jiacheng Ye; Zhiyong Wu 003; Jiangtao Feng; Jingjing Xu 001; Yu Qiao 001 (ACL (demo), 2023)

DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models. - Shansan Gong; Mukai Li; Jiangtao Feng; Zhiyong Wu 003; Lingpeng Kong (EMNLP (Findings), 2023)

DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models. - Shansan Gong; Mukai Li; Jiangtao Feng; Zhiyong Wu 003; Lingpeng Kong (ICLR, 2023)

Compositional Exemplars for In-context Learning. - Jiacheng Ye; Zhiyong Wu 003; Jiangtao Feng; Tao Yu 009; Lingpeng Kong (ICML, 2023)

CAB: Comprehensive Attention Benchmarking on Long Sequence Modeling. - Jun Zhang; Shuyang Jiang; Jiangtao Feng; Lin Zheng; Lingpeng Kong (ICML, 2023)

Attentive Multi-Layer Perceptron for Non-autoregressive Generation. - Shuyang Jiang; Jun Zhang; Jiangtao Feng; Lin Zheng; Lingpeng Kong (ECML/PKDD (2), 2023)

In-Context Learning with Many Demonstration Examples. - Mukai Li; Shansan Gong; Jiangtao Feng; Yiheng Xu; Jun Zhang; Zhiyong Wu 003; Lingpeng Kong (CoRR, 2023)

Optimizing Non-Autoregressive Transformers with Contrastive Learning. - Chenxin An; Jiangtao Feng; Fei Huang 005; Xipeng Qiu; Lingpeng Kong (CoRR, 2023)

Linear Attention via Orthogonal Memory. - Jun Zhang; Shuyang Jiang; Jiangtao Feng; Lin Zheng; Lingpeng Kong (CoRR, 2023)

BjTT: A Large-Scale Multimodal Dataset for Traffic Prediction. - Chengyang Zhang; Yong Zhang 029; Qitan Shao; Jiangtao Feng; Bo Li 128; Yisheng Lv; Xinglin Piao; Baocai Yin (IEEE Trans. Intell. Transp. Syst., 2024)

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent. - Hongli Yu; Tinghong Chen; Jiangtao Feng; Jiangjie Chen; Weinan Dai; Qiying Yu; Ya-Qin Zhang; Wei-Ying Ma; Jingjing Liu; Mingxuan Wang; Hao Zhou 012 (CoRR, 2025)

AMix-1: A Pathway to Test-Time Scalable Protein Foundation Model. - Changze Lv; Jiang Zhou; Siyu Long; Lihao Wang; Jiangtao Feng; Dongyu Xue; Yu Pei; Hao Wang; Zherui Zhang; Yuchen Cai; Zhiqiang Gao; Ziyuan Ma; et al. (CoRR, 2025)