Xiaocheng Feng

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 70

Top Topics

Semantic Parsing

Text Generation

Top Venues

Publications

Yichong Huang, Xiaocheng Feng, Baohang Li, Chengpeng Fu, Wenshuai Huo, Ting Liu, Bing Qin
Aligning Translation-Specific Understanding to General Understanding in Large Language Models. CoRR (2024)
Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Weihong Zhong, Bing Qin
Controllable Text Generation via Probability Density Estimation in the Latent Space. ACL (1) (2023)
Xiachong Feng, Xiaocheng Feng, Bing Qin
The Role of Summarization in Generative Agents: A Preliminary Perspective. CoRR (2023)
Liang Zhao, Xiaocheng Feng, Xiachong Feng, Bing Qin, Ting Liu
Length Extrapolation of Transformers: A Survey from the Perspective of Position Encoding. CoRR (2023)
Zhangyin Feng, Weitao Ma, Weijiang Yu, Lei Huang, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, Ting Liu
Trends in Integration of Knowledge and Large Language Models: A Survey and Taxonomy of Methods, Benchmarks, and Applications. CoRR (2023)
Jie Huang, Xiachong Feng, Yangfan Ye, Liang Zhao, Xiaocheng Feng, Bing Qin, Ting Liu
Dialogue Context Modelling for Action Item Detection: Solution for ICASSP 2023 Mug Challenge Track 5. ICASSP (2023)
Xiachong Feng, Xiaocheng Feng, Bing Qin
Semantic-aware Contrastive Learning for Electroencephalography-to-Text Generation with Curriculum Learning. CoRR (2023)
Chengpeng Fu, Xiaocheng Feng, Yichong Huang, Wenshuai Huo, Hui Wang, Bing Qin, Ting Liu
Enabling Unsupervised Neural Machine Translation with Word-level Visual Representations. EMNLP (Findings) (2023)
Zhangyin Feng, Yong Dai, Fan Zhang, Duyu Tang, Xiaocheng Feng, Shuangzhi Wu, Bing Qin, Yunbo Cao, Shuming Shi
SkillNet-X: A Multilingual Multitask Model with Sparsely Activated Skills. CoRR (2023)
Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Baohang Li, Bing Qin
Towards Higher Pareto Frontier in Multilingual Machine Translation. CoRR (2023)
Weihong Zhong, Mao Zheng, Duyu Tang, Xuan Luo, Heng Gong, Xiaocheng Feng, Bing Qin
STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training. AAAI (2023)
Zhangyin Feng, Runyi Hu, Liangxin Liu, Fan Zhang, Duyu Tang, Yong Dai, Xiaocheng Feng, Jiwei Li, Bing Qin, Shuming Shi
Emage: Non-Autoregressive Text-to-Image Generation. CoRR (2023)
Zhangyin Feng, Yuchen Ren, Xinmiao Yu, Xiaocheng Feng, Duyu Tang, Shuming Shi, Bing Qin
Improved Visual Story Generation with Adaptive Context Modeling. ACL (Findings) (2023)
Zhangyin Feng, Yuchen Ren, Xinmiao Yu, Xiaocheng Feng, Duyu Tang, Shuming Shi, Bing Qin
Improved Visual Story Generation with Adaptive Context Modeling. CoRR (2023)
Xiachong Feng, Xiaocheng Feng, Xiyuan Du, Min-Yen Kan, Bing Qin
Adapter-based Selective Knowledge Distillation for Federated Multi-domain Meeting Summarization. CoRR (2023)
Lei Huang, Weijiang Yu, Weitao Ma, Weihong Zhong, Zhangyin Feng, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, Ting Liu
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions. CoRR (2023)
Kun Zhu, Xiaocheng Feng, Xiachong Feng, Yingsheng Wu, Bing Qin
Hierarchical Catalogue Generation for Literature Review: A Benchmark. CoRR (2023)
Zhangyin Feng, Xiaocheng Feng, Dezhi Zhao, Maojin Yang, Bing Qin
Retrieval-Generation Synergy Augmented Large Language Models. CoRR (2023)
Weihong Zhong, Mao Zheng, Duyu Tang, Xuan Luo, Heng Gong, Xiaocheng Feng, Bing Qin
STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training. CoRR (2023)
Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Baohang Li, Bing Qin
Towards Higher Pareto Frontier in Multilingual Machine Translation. ACL (1) (2023)
Kun Zhu, Xiaocheng Feng, Xiachong Feng, Yingsheng Wu, Bing Qin
Hierarchical Catalogue Generation for Literature Review: A Benchmark. EMNLP (Findings) (2023)
Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Bing Qin
Controllable Text Generation via Probability Density Estimation in the Latent Space. CoRR (2022)
Xiachong Feng, Xiaocheng Feng, Bing Qin
A Survey on Dialogue Summarization: Recent Advances and New Frontiers. IJCAI (2022)
Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Bing Qin
OmniKnight: Multilingual Neural Machine Translation with Language-Specific Self-Distillation. CoRR (2022)
Zhangyin Feng, Duyu Tang, Cong Zhou, Junwei Liao, Shuangzhi Wu, Xiaocheng Feng, Bing Qin, Yunbo Cao, Shuming Shi
Pretraining without Wordpieces: Learning Over a Vocabulary of Millions of Words. CoRR (2022)
Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Bing Qin
A Distributional Lens for Multi-Aspect Controllable Text Generation. CoRR (2022)
Yi-Chong Huang, Xiaocheng Feng, Xinwei Geng, Bing Qin
Unifying the Convergences in Multilingual Neural Machine Translation. EMNLP (2022)
Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Jiaming Wu, Heng Gong, Bing Qin
Improving Controllable Text Generation with Position-Aware Weighted Decoding. ACL (Findings) (2022)
Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Bing Qin
A Distributional Lens for Multi-Aspect Controllable Text Generation. EMNLP (2022)
Xinwei Geng, Longyue Wang, Xing Wang, Mingtao Yang, Xiaocheng Feng, Bing Qin, Zhaopeng Tu
Learning to refine source representations for neural machine translation. Int. J. Mach. Learn. Cybern. 13 (8) (2022)
Xiachong Feng, Xiaocheng Feng, Bing Qin
MSAMSum: Towards Benchmarking Multi-lingual Dialogue Summarization. DialDoc@ACL (2022)
Xiachong Feng, Xiaocheng Feng, Bing Qin
A Survey on Dialogue Summarization: Recent Advances and New Frontiers. CoRR (2021)
Xiachong Feng, Xiaocheng Feng, Bing Qin, Xinwei Geng
Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization. IJCAI (2021)
Xiachong Feng, Xiaocheng Feng, Libo Qin, Bing Qin, Ting Liu
Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization. CoRR (2021)
Xinwei Geng, Xiaocheng Feng, Bing Qin
Learning to Rewrite for Non-Autoregressive Neural Machine Translation. EMNLP (1) (2021)
Xiachong Feng, Xiaocheng Feng, Bing Qin
Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks. CCL (2021)
Xiachong Feng, Xiaocheng Feng, Libo Qin, Bing Qin, Ting Liu
Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization. ACL/IJCNLP (1) (2021)
Xiaocheng Feng, Heng Gong, Yuyu Chen, Yawei Sun, Bing Qin, Wei Bi, Xiaojiang Liu, Ting Liu
Learning number reasoning for numerical table-to-text generation. Int. J. Mach. Learn. Cybern. 12 (8) (2021)
Heng Gong, Wei Bi, Xiaocheng Feng, Bing Qin, Xiaojiang Liu, Ting Liu
Enhancing Content Planning for Table-to-Text Generation with Data Understanding and Verification. EMNLP (Findings) (2020)
Xiaocheng Feng, Yawei Sun, Bing Qin, Heng Gong, Yibo Sun, Wei Bi, Xiaojiang Liu, Ting Liu
Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation. AAAI (2020)
Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou
CodeBERT: A Pre-Trained Model for Programming and Natural Languages. EMNLP (Findings) (2020)
Heng Gong, Yawei Sun, Xiaocheng Feng, Bing Qin, Wei Bi, Xiaojiang Liu, Ting Liu
TableGPT: Few-shot Table-to-Text Generation with Table Structure Reconstruction and Content Matching. COLING (2020)
Xiaocheng Feng, Zhangyin Feng, Wanlong Zhao, Bing Qin, Ting Liu
Enhanced Neural Machine Translation by Joint Decoding with Word and POS-tagging Sequences. Mob. Networks Appl. 25 (5) (2020)
Yibo Sun, Duyu Tang, Nan Duan, Tao Qin, Shujie Liu, Zhao Yan, Ming Zhou, Yuanhua Lv, Wenpeng Yin, Xiaocheng Feng, Bing Qin, Ting Liu
Joint Learning of Question Answering and Question Generation. IEEE Trans. Knowl. Data Eng. 32 (5) (2020)
Xiachong Feng, Xiaocheng Feng, Bing Qin, Xinwei Geng, Ting Liu
Dialogue Discourse-Aware Graph Convolutional Networks for Abstractive Meeting Summarization. CoRR (2020)
Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou
CodeBERT: A Pre-Trained Model for Programming and Natural Languages. CoRR (2020)
Xiaocheng Feng, Yawei Sun, Bing Qin, Heng Gong, Yibo Sun, Wei Bi, Xiaojiang Liu, Ting Liu
Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation. CoRR (2020)
Yibo Sun, Duyu Tang, Nan Duan, Yeyun Gong, Xiaocheng Feng, Bing Qin, Daxin Jiang
Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning. AAAI (2020)
Xiachong Feng, Xiaocheng Feng, Bing Qin, Ting Liu
Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks. CoRR (2020)
Heng Gong, Xiaocheng Feng, Bing Qin, Ting Liu
Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time). CoRR (2019)
Heng Gong, Xiaocheng Feng, Bing Qin, Ting Liu
Table-to-Text Generation via Row-Aware Hierarchical Encoder. CCL (2019)
Heng Gong, Xiaocheng Feng, Bing Qin, Ting Liu
Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time). EMNLP/IJCNLP (1) (2019)
Shuang Chen, Jinpeng Wang, Xiaocheng Feng, Feng Jiang, Bing Qin, Chin-Yew Lin
Enhancing Neural Data-To-Text Generation Models with External Background Knowledge. EMNLP/IJCNLP (1) (2019)
Yibo Sun, Duyu Tang, Jingjing Xu, Nan Duan, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou
Knowledge-Aware Conversational Semantic Parsing over Web Tables. NLPCC (1) (2019)
Yibo Sun, Duyu Tang, Nan Duan, Yeyun Gong, Xiaocheng Feng, Bing Qin, Daxin Jiang
Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning. CoRR (2019)
Yibo Sun, Daya Guo, Duyu Tang, Nan Duan, Zhao Yan, Xiaocheng Feng, Bing Qin
Knowledge Based Machine Reading Comprehension. CoRR (2018)
Yibo Sun, Duyu Tang, Nan Duan, Jingjing Xu, Xiaocheng Feng, Bing Qin
Knowledge-Aware Conversational Semantic Parsing Over Web Tables. CoRR (2018)
Xinwei Geng, Xiaocheng Feng, Bing Qin, Ting Liu
Adaptive Multi-pass Decoder for Neural Machine Translation. EMNLP (2018)
Yibo Sun, Duyu Tang, Nan Duan, Jianshu Ji, Guihong Cao, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou
Semantic Parsing with Syntax- and Table-Aware SQL Generation. CoRR (2018)
Xiaocheng Feng, Ming Liu, Jiahao Liu, Bing Qin, Yibo Sun, Ting Liu
Topic-to-Essay Generation with Neural Networks. IJCAI (2018)
Xiaocheng Feng, Xiachong Feng, Bing Qin, Zhangyin Feng, Ting Liu
Improving Low Resource Named Entity Recognition using Cross-lingual Knowledge Transfer. IJCAI (2018)
Yibo Sun, Duyu Tang, Nan Duan, Jianshu Ji, Guihong Cao, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou
Semantic Parsing with Syntax- and Table-Aware SQL Generation. ACL (1) (2018)
Xiaocheng Feng, Bing Qin, Ting Liu
A language-independent neural network for event detection. Sci. China Inf. Sci. 61 (9) (2018)
Xiaocheng Feng, Jiang Guo, Bing Qin, Ting Liu, Yongjie Liu
Effective Deep Memory Networks for Distant Supervised Relation Extraction. IJCAI (2017)
Dongxu Zhang, Boliang Zhang, Xiaoman Pan, Xiaocheng Feng, Heng Ji, Weiran Xu
Bitext Name Tagging for Cross-lingual Entity Annotation Projection. COLING (2016)
Lifu Huang, Taylor Cassidy, Xiaocheng Feng, Heng Ji, Clare R. Voss, Jiawei Han, Avirup Sil
Liberal Event Extraction and Event Schema Induction. ACL (1) (2016)
Duyu Tang, Bing Qin, Xiaocheng Feng, Ting Liu
Effective LSTMs for Target-Dependent Sentiment Classification. COLING (2016)
Xiaocheng Feng, Lifu Huang, Duyu Tang, Heng Ji, Bing Qin, Ting Liu
A Language-Independent Neural Network for Event Detection. ACL (2) (2016)
Xiaocheng Feng, Duyu Tang, Bing Qin, Ting Liu
English-Chinese Knowledge Base Translation with Neural Network. COLING (2016)
Duyu Tang, Bing Qin, Xiaocheng Feng, Ting Liu
Target-Dependent Sentiment Classification with Long Short Term Memory. CoRR (2015)