Xu Sun

According to our database, Xu Sun authored at least 218 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A medical multimodal large language model for future pandemics.

Fenglin Liu, Tingting Zhu, Xian Wu, Bang Yang, Chenyu You, Chenyang Wang, Lei Lu, Zhangdaihong Liu, Yefeng Zheng, Xu Sun, Yang Yang, Lei A. Clifton, David A. Clifton

npj Digit. Medicine, 2023

ASAT: Adaptively scaled adversarial training in time series.

Zhiyuan Zhang, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun

Neurocomputing, 2023

TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding.

Shuhuai Ren, Linli Yao, Shicheng Li, Xu Sun, Lu Hou

CoRR, 2023

RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge.

Yi Liu, Lianzhe Huang, Shicheng Li, Sishuo Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun

CoRR, 2023

FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation.

Yuanxin Liu, Lei Li, Shuhuai Ren, Rundong Gao, Shicheng Li, Sishuo Chen, Xu Sun, Lu Hou

CoRR, 2023

Incorporating Pre-trained Model Prompting in Multimodal Stock Volume Movement Prediction.

Ruibo Chen, Zhiyuan Zhang, Yi Liu, Ruihan Bao, Keiko Harimoto, Xu Sun

CoRR, 2023

Towards Codable Text Watermarking for Large Language Models.

Lean Wang, Wenkai Yang, Deli Chen, Hao Zhou, Yankai Lin, Fandong Meng, Jie Zhou, Xu Sun

CoRR, 2023

When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning.

Wenkai Yang, Yankai Lin, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun

CoRR, 2023

Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning.

Wenkai Yang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun

CoRR, 2023

A Survey for In-context Learning.

Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Zhiyong Wu, Baobao Chang, Xu Sun, Jingjing Xu, Lei Li, Zhifang Sui

CoRR, 2023

Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition.

Shuhuai Ren, Aston Zhang, Yi Zhu, Shuai Zhang, Shuai Zheng, Mu Li, Alexander J. Smola, Xu Sun

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense.

Zhiyuan Zhang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning.

Lean Wang, Lei Li, Damai Dai, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding.

Shuhuai Ren, Sishuo Chen, Shicheng Li, Xu Sun, Lu Hou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Can Language Models Understand Physical Concepts?

Lei Li, Jingjing Xu, Qingxiu Dong, Ce Zheng, Xu Sun, Lingpeng Kong, Qi Liu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Fine-Tuning Deteriorates General Textual Out-of-Distribution Detection by Distorting Task-Agnostic Features.

Sishuo Chen, Wenkai Yang, Xiaohan Bi, Xu Sun

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias.

Zhiyuan Zhang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

MultiCapCLIP: Auto-Encoding Prompts for Zero-Shot Multilingual Visual Captioning.

Bang Yang, Fenglin Liu, Xian Wu, Yaowei Wang, Xu Sun, Yuexian Zou

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter.

Yi Liu, Xiaohan Bi, Lei Li, Sishuo Chen, Wenkai Yang, Xu Sun

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

DiMBERT: Learning Vision-Language Grounded Representations with Disentangled Multimodal-Attention.

Fenglin Liu, Xian Wu, Shen Ge, Xuancheng Ren, Wei Fan, Xu Sun, Yuexian Zou

ACM Trans. Knowl. Discov. Data, 2022

Alleviating the Knowledge-Language Inconsistency: A Study for Deep Commonsense Knowledge.

Yi Zhang, Lei Li, Yunfang Wu, Qi Su, Xu Sun

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Aligning Source Visual and Target Language Domains for Unpaired Video Captioning.

Fenglin Liu, Xian Wu, Chenyu You, Shen Ge, Yuexian Zou, Xu Sun

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Gradient Knowledge Distillation for Pre-trained Language Models.

Lean Wang, Lei Li, Xu Sun

CoRR, 2022

Prophet Attention: Predicting Attention with Future Attention for Improved Image Captioning.

Fenglin Liu, Xuewei Ma, Xuancheng Ren, Xian Wu, Wei Fan, Yuexian Zou, Xu Sun

CoRR, 2022

Rethinking the Openness of CLIP.

Shuhuai Ren, Lei Li, Xuancheng Ren, Guangxiang Zhao, Xu Sun

CoRR, 2022

Distributional Correlation-Aware Knowledge Distillation for Stock Trading Volume Prediction.

Lei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Sun

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Stock Trading Volume Prediction with Dual-Process Meta-Learning.

Ruibo Chen, Wei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Sun

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions.

Fenglin Liu, Bang Yang, Chenyu You, Xian Wu, Shen Ge, Zhangdaihong Liu, Xu Sun, Yang Yang, David A. Clifton

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification.

Deli Chen, Yankai Lin, Lei Li, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data.

Zhiyuan Zhang, Lingjuan Lyu, Weiqiang Wang, Lichao Sun, Xu Sun

Proceedings of the Tenth International Conference on Learning Representations, 2022

Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models.

Zhiyuan Zhang, Lingjuan Lyu, Xingjun Ma, Chenguang Wang, Xu Sun

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

GA-SAM: Gradient-Strength based Adaptive Sharpness-Aware Minimization for Improved Generalization.

Zhiyuan Zhang, Ruixuan Luo, Qi Su, Xu Sun

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Dim-Krum: Backdoor-Resistant Federated Learning for NLP with Dimension-wise Krum-Based Aggregation.

Zhiyuan Zhang, Qi Su, Xu Sun

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models.

Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Expose Backdoors on the Way: A Feature-Based Efficient Defense against Textual Backdoor Attacks.

Sishuo Chen, Wenkai Yang, Zhiyuan Zhang, Xiaohan Bi, Xu Sun

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Holistic Sentence Embeddings for Better Out-of-Distribution Detection.

Sishuo Chen, Xiaohan Bi, Rundong Gao, Xu Sun

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Position Offset Label Prediction for Grammatical Error Correction.

Xiuyu Wu, Jingsong Yu, Xu Sun, Yunfang Wu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Hierarchical Inductive Transfer for Continual Dialogue Learning.

Shaoxiong Feng, Xuancheng Ren, Kan Li, Xu Sun

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Well-Classified Examples Are Underestimated in Classification with Deep Neural Networks.

Guangxiang Zhao, Wenkai Yang, Xuancheng Ren, Lei Li, Yunfang Wu, Xu Sun

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Adversarial parameter defense by multi-step risk minimization.

Zhiyuan Zhang, Ruixuan Luo, Xuancheng Ren, Qi Su, Liangyou Li, Xu Sun

Neural Networks, 2021

CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark.

Yuan Yao, Qingxiu Dong, Jian Guan, Boxi Cao, Zhengyan Zhang, Chaojun Xiao, Xiaozhi Wang, Fanchao Qi, Junwei Bao, Jinran Nie, Zheni Zeng, Yuxian Gu, Kun Zhou, Xuancheng Huang, Wenhao Li, Shuhuai Ren, Jinliang Lu, Chengqiang Xu, Huadong Wang, Guoyang Zeng, Zile Zhou, Jiajun Zhang, Juanzi Li, Minlie Huang, Rui Yan, Xiaodong He, Xiaojun Wan, Xin Zhao, Xu Sun, Yang Liu, Zhiyuan Liu, Xianpei Han, Erhong Yang, Zhifang Sui, Maosong Sun

CoRR, 2021

Model Uncertainty-Aware Knowledge Amalgamation for Pre-Trained Language Models.

Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun

CoRR, 2021

Well-classified Examples are Underestimated in Classification with Deep Neural Networks.

Guangxiang Zhao, Wenkai Yang, Xuancheng Ren, Lei Li, Xu Sun

CoRR, 2021

Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling.

Liang Zhao, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun

CoRR, 2021

ASAT: Adaptively Scaled Adversarial Training in Time Series.

Zhiyuan Zhang, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun

CoRR, 2021

Rethinking Skip Connection with Layer Normalization in Transformers and ResNets.

Fenglin Liu, Xuancheng Ren, Zhiyuan Zhang, Xu Sun, Yuexian Zou

CoRR, 2021

Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation.

Fenglin Liu, Chenyu You, Xian Wu, Shen Ge, Sheng Wang, Xu Sun

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Topology-Imbalance Learning for Semi-Supervised Node Classification.

Deli Chen, Yankai Lin, Guangxiang Zhao, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Neural Network Surgery: Injecting Data Patterns into Pre-trained Models with Minimal Instance-wise Side Effects.

Zhiyuan Zhang, Xuancheng Ren, Qi Su, Xu Sun, Bin He

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models.

Wenkai Yang, Lei Li, Zhiyuan Zhang, Xuancheng Ren, Xu Sun, Bin He

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

A Global Past-Future Early Exit Method for Accelerating Inference of Pre-trained Language Models.

Kaiyuan Liao, Yi Zhang, Xuancheng Ren, Qi Su, Xu Sun, Bin He

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling.

Liang Zhao, Wei Li, Ruihan Bao, Keiko Harimoto, Yunfang Wu, Xu Sun

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

KNAS: Green Neural Architecture Search.

Jingjing Xu, Liang Zhao, Junyang Lin, Rundong Gao, Xu Sun, Hongxia Yang

Proceedings of the 38th International Conference on Machine Learning, 2021

Leveraging Word-Formation Knowledge for Chinese Word Sense Disambiguation.

Hua Zheng, Lei Li, Damai Dai, Deli Chen, Tianyu Liu, Xu Sun, Yang Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models.

Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, Xu Sun

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification.

Shuhuai Ren, Jinchao Zhang, Lei Li, Xu Sun, Jie Zhou

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Translation as Cross-Domain Knowledge: Attention Augmentation for Unsupervised Cross-Domain Segmenting and Labeling Tasks.

Ruixuan Luo, Yi Zhang, Sishuo Chen, Xu Sun

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Rethinking Denoised Auto-Encoding in Language Pre-Training.

Fuli Luo, Pengcheng Yang, Shicheng Li, Xuancheng Ren, Xu Sun, Songfang Huang, Fei Huang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Dynamic Knowledge Distillation for Pre-trained Language Models.

Lei Li, Yankai Lin, Shuhuai Ren, Peng Li, Jie Zhou, Xu Sun

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade.

Lei Li, Yankai Lin, Deli Chen, Shuhuai Ren, Peng Li, Jie Zhou, Xu Sun

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Rethinking Stealthiness of Backdoor Attack against NLP Models.

Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, Xu Sun

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Learning Relation Alignment for Calibrated Cross-modal Retrieval.

Shuhuai Ren, Junyang Lin, Guangxiang Zhao, Rui Men, An Yang, Jingren Zhou, Xu Sun, Hongxia Yang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Contrastive Attention for Automatic Chest X-ray Report Generation.

Fenglin Liu, Changchang Yin, Xian Wu, Shen Ge, Ping Zhang, Xu Sun

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning.

Fenglin Liu, Xuancheng Ren, Xian Wu, Bang Yang, Shen Ge, Xu Sun

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Towards Semantics-Enhanced Pre-Training: Can Lexicon Definitions Help Learning Sentence Meanings?

Xuancheng Ren, Xu Sun, Houfeng Wang, Qun Liu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

EQG-RACE: Examination-Type Question Generation.

Xin Jia, Wenjie Zhou, Xu Sun, Yunfang Wu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation.

Shaoxiong Feng, Xuancheng Ren, Kan Li, Xu Sun

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Collaborative Group Learning.

Shaoxiong Feng, Hongshen Chen, Xuancheng Ren, Zhuoye Ding, Kan Li, Xu Sun

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption.

Xu Sun, Zhiyuan Zhang, Xuancheng Ren, Ruixuan Luo, Liangyou Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Training Simplification and Model Simplification for Deep Learning : A Minimal Effort Back Propagation Method.

Xu Sun, Xuancheng Ren, Shuming Ma, Bingzhen Wei, Wei Li, Jingjing Xu, Houfeng Wang, Yi Zhang

IEEE Trans. Knowl. Data Eng., 2020

Memorized sparse backpropagation.

Zhiyuan Zhang, Pengcheng Yang, Xuancheng Ren, Qi Su, Xu Sun

Neurocomputing, 2020

Accelerating Pre-trained Language Models via Calibrated Cascade.

Lei Li, Yankai Lin, Shuhuai Ren, Deli Chen, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun

CoRR, 2020

Learning Robust Representation for Clustering through Locality Preserving Variational Discriminative Network.

Ruixuan Luo, Wei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Sun

CoRR, 2020

Distance-wise Graph Contrastive Learning.

Deli Chen, Yanyai Lin, Lei Li, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun

CoRR, 2020

CAPT: Contrastive Pre-Training for Learning Denoised Sequence Representations.

Fuli Luo, Pengcheng Yang, Shicheng Li, Xuancheng Ren, Xu Sun

CoRR, 2020

Graph-based Multi-hop Reasoning for Long Text Generation.

Liang Zhao, Jingjing Xu, Junyang Lin, Yichang Zhang, Hongxia Yang, Xu Sun

CoRR, 2020

Layer-Wise Cross-View Decoding for Sequence-to-Sequence Learning.

Fenglin Liu, Xuancheng Ren, Guangxiang Zhao, Xu Sun

CoRR, 2020

Query-Variant Advertisement Text Generation with Association Knowledge.

Siyu Duan, Wei Li, Cai Jing, Yancheng He, Yunfang Wu, Xu Sun

CoRR, 2020

Jointly Modeling Aspect and Sentiment with Dynamic Heterogeneous Graph Neural Networks.

Shu Liu, Wei Li, Yunfang Wu, Qi Su, Xu Sun

CoRR, 2020

Prophet Attention: Predicting Attention with Future Attention.

Fenglin Liu, Xuancheng Ren, Xian Wu, Shen Ge, Wei Fan, Yuexian Zou, Xu Sun

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Pretrain-KGE: Learning Knowledge Representation from Pretrained Language Models.

Zhiyuan Zhang, Xiaoqian Liu, Yi Zhang, Qi Su, Xu Sun, Bin He

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Regularizing Dialogue Generation by Imitating Implicit Scenarios.

Shaoxiong Feng, Xuancheng Ren, Hongshen Chen, Bin Sun, Kan Li, Xu Sun

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Rethinking Skip Connection with Layer Normalization.

Fenglin Liu, Xuancheng Ren, Zhiyuan Zhang, Xu Sun, Yuexian Zou

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Parallel Data Augmentation for Formality Style Transfer.

Yi Zhang, Tao Ge, Xu Sun

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

How to Ask Good Questions? Try to Leverage Paraphrases.

Xin Jia, Wenjie Zhou, Xu Sun, Yunfang Wu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Visual Agreement Regularized Training for Multi-Modal Machine Translation.

Pengcheng Yang, Boxing Chen, Pei Zhang, Xu Sun

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View.

Deli Chen, Yankai Lin, Wei Li, Peng Li, Jie Zhou, Xu Sun

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Regularizing Output Distribution of Abstractive Chinese Social Media Text Summarization for Improved Semantic Consistency.

Bingzhen Wei, Xuancheng Ren, Yi Zhang, Xiaoyan Cai, Qi Su, Xu Sun

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2019

Towards easier and faster sequence labeling for natural language processing: A search-based probabilistic online learning framework (SAPO).

Xu Sun, Shuming Ma, Yi Zhang, Xuancheng Ren

Inf. Sci., 2019

Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection.

Guangxiang Zhao, Junyang Lin, Zhiyuan Zhang, Xuancheng Ren, Qi Su, Xu Sun

CoRR, 2019

MUSE: Parallel Multi-Scale Attention for Sequence to Sequence Learning.

Guangxiang Zhao, Xu Sun, Jingjing Xu, Zhiyuan Zhang, Liangchen Luo

CoRR, 2019

Improving Node Classification by Co-training Node Pair Classification: A Novel Training Framework for General Graph Neural Networks.

Deli Chen, Xiaoqian Liu, Yankai Lin, Peng Li, Jie Zhou, Qi Su, Xu Sun

CoRR, 2019

An Adaptive and Momental Bound Method for Stochastic Learning.

Jianbang Ding, Xuancheng Ren, Ruixuan Luo, Xu Sun

CoRR, 2019

Incorporating Fine-grained Events in Stock Movement Prediction.

Deli Chen, Yanyan Zou, Keiko Harimoto, Ruihan Bao, Xuancheng Ren, Xu Sun

CoRR, 2019

Group, Extract and Aggregate: Summarizing a Large Amount of Finance News for Forex Movement Prediction.

Deli Chen, Shuming Ma, Keiko Harimoto, Ruihan Bao, Qi Su, Xu Sun

CoRR, 2019

Recursive Graphical Neural Networks for Text Classification.

Wei Li, Shuheng Li, Shuming Ma, Yancheng He, Deli Chen, Xu Sun

CoRR, 2019

Sequence-to-sequence Pre-training with Data Augmentation for Sentence Rewriting.

Yi Zhang, Tao Ge, Furu Wei, Ming Zhou, Xu Sun

CoRR, 2019

PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation.

Ruixuan Luo, Jingjing Xu, Yi Zhang, Xuancheng Ren, Xu Sun

CoRR, 2019

Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model.

Wei Li, Jingjing Xu, Yancheng He, Shengli Yan, Yunfang Wu, Xu Sun

CoRR, 2019

Memorized Sparse Backpropagation.

Zhiyuan Zhang, Pengcheng Yang, Xuancheng Ren, Xu Sun

CoRR, 2019

Aligning Visual Regions and Textual Concepts: Learning Fine-Grained Image Representations for Image Captioning.

Fenglin Liu, Yuanxin Liu, Xuancheng Ren, Kai Lei, Xu Sun

CoRR, 2019

Understanding and Improving Layer Normalization.

Jingjing Xu, Xu Sun, Zhiyuan Zhang, Guangxiang Zhao, Junyang Lin

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations.

Fenglin Liu, Yuanxin Liu, Xuancheng Ren, Xiaodong He, Xu Sun

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations.

Guangxiang Zhao, Jingjing Xu, Qi Zeng, Xuancheng Ren, Xu Sun

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Knowledgeable Storyteller: A Commonsense-Driven Generative Model for Visual Storytelling.

Pengcheng Yang, Fuli Luo, Peng Chen, Lei Li, Zhiyi Yin, Xiaodong He, Xu Sun

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer.

Fuli Luo, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Xu Sun, Zhifang Sui

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Exploring and Distilling Cross-Modal Information for Image Captioning.

Fenglin Liu, Xuancheng Ren, Yuanxin Liu, Kai Lei, Xu Sun

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Adaptive Gradient Methods with Dynamic Bound of Learning Rate.

Liangchen Luo, Yuanhao Xiong, Yan Liu, Xu Sun

Proceedings of the 7th International Conference on Learning Representations, 2019

Aligning Cross-Lingual Entities with Multi-Aspect Information.

Hsiu-Wei Yang, Yanyan Zou, Peng Shi, Wei Lu, Jimmy Lin, Xu Sun

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Specificity-Driven Cascading Approach for Unsupervised Sentiment Modification.

Pengcheng Yang, Junyang Lin, Jingjing Xu, Jun Xie, Qi Su, Xu Sun

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification.

Jingjing Xu, Liang Zhao, Hanqi Yan, Qi Zeng, Yun Liang, Xu Sun

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Asking Clarification Questions in Knowledge-Based Question Answering.

Jingjing Xu, Yuechen Wang, Duyu Tang, Nan Duan, Pengcheng Yang, Qi Zeng, Ming Zhou, Xu Sun

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Pun-GAN: Generative Adversarial Network for Pun Generation.

Fuli Luo, Shunyao Li, Pengcheng Yang, Lei Li, Baobao Chang, Zhifang Sui, Xu Sun

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal Information.

Pengcheng Yang, Zhihan Zhang, Fuli Luo, Lei Li, Chengyang Huang, Xu Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

A Deep Reinforced Sequence-to-Set Model for Multi-Label Classification.

Pengcheng Yang, Fuli Luo, Shuming Ma, Junyang Lin, Xu Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Enhancing Topic-to-Essay Generation with External Commonsense Knowledge.

Pengcheng Yang, Lei Li, Fuli Luo, Tianyu Liu, Xu Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

MAAM: A Morphology-Aware Alignment Model for Unsupervised Bilingual Lexicon Induction.

Pengcheng Yang, Fuli Luo, Peng Chen, Tianyu Liu, Xu Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer.

Chen Wu, Xuancheng Ren, Fuli Luo, Xu Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Imitation Learning for Non-Autoregressive Neural Machine Translation.

Bingzhen Wei, Mingxuan Wang, Hao Zhou, Junyang Lin, Xu Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation.

Shuming Ma, Pengcheng Yang, Tianyu Liu, Peng Li, Jie Zhou, Xu Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Towards Fine-grained Text Sentiment Transfer.

Fuli Luo, Peng Li, Pengcheng Yang, Jie Zhou, Yutong Tan, Baobao Chang, Zhifang Sui, Xu Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Learning to Control the Fine-grained Sentiment for Story Ending Generation.

Fuli Luo, Damai Dai, Pengcheng Yang, Tianyu Liu, Baobao Chang, Zhifang Sui, Xu Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence Model.

Wei Li, Jingjing Xu, Yancheng He, Shengli Yan, Yunfang Wu, Xu Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts.

Shuming Ma, Lei Cui, Damai Dai, Furu Wei, Xu Sun

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Learning Personalized End-to-End Goal-Oriented Dialog.

Liangchen Luo, Wenhao Huang, Qi Zeng, Zaiqing Nie, Xu Sun

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Cross-Domain and Semisupervised Named Entity Recognition in Chinese Social Media: A Unified Model.

Jingjing Xu, Hangfeng He, Xu Sun, Xuancheng Ren, Sujian Li

IEEE ACM Trans. Audio Speech Lang. Process., 2018

Learning Unsupervised Word Mapping by Maximizing Mean Discrepancy.

Pengcheng Yang, Fuli Luo, Shuangzhi Wu, Jingjing Xu, Dongdong Zhang, Xu Sun

CoRR, 2018

Unsupervised Machine Commenting with Neural Variational Topic Model.

Shuming Ma, Lei Cui, Furu Wei, Xu Sun

CoRR, 2018

Evaluating Semantic Rationality of a Sentence: A Sememe-Word-Matching Neural Network based on HowNet.

Shu Liu, Jingjing Xu, Xuancheng Ren, Xu Sun

CoRR, 2018

A Deep Reinforced Sequence-to-Set Model for Multi-Label Text Classification.

Pengcheng Yang, Shuming Ma, Yi Zhang, Junyang Lin, Qi Su, Xu Sun

CoRR, 2018

Identifying High-Quality Chinese News Comments Based on Multi-Target Text Matching Model.

Deli Chen, Shuming Ma, Pengcheng Yang, Xu Sun

CoRR, 2018

Sememe Prediction: Learning Semantic Knowledge from Unstructured Textual Wiki Descriptions.

Wei Li, Xuancheng Ren, Damai Dai, Yunfang Wu, Houfeng Wang, Xu Sun

CoRR, 2018

Automatic Transferring between Ancient Chinese and Contemporary Chinese.

Zhiyuan Zhang, Wei Li, Xu Sun

CoRR, 2018

Decoding-History-Based Adaptive Control of Attention for Neural Machine Translation.

Junyang Lin, Shuming Ma, Qi Su, Xu Sun

CoRR, 2018

DP-GAN: Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text.

Jingjing Xu, Xu Sun, Xuancheng Ren, Junyang Lin, Bingzhen Wei, Wei Li

CoRR, 2018

Exploration on Generating Traditional Chinese Medicine Prescription from Symptoms with an End-to-End method.

Wei Li, Zheng Yang, Xu Sun

CoRR, 2018

Accelerating Graph-Based Dependency Parsing with Lock-Free Parallel Perceptron.

Shuming Ma, Xu Sun, Yi Zhang, Bingzhen Wei

Proceedings of the Natural Language Processing and Chinese Computing, 2018

Structure Regularized Neural Network for Entity Relation Classification for Chinese Literature Text.

Ji Wen, Xu Sun, Xuancheng Ren, Qi Su

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Query and Output: Generating Words by Querying Distributed Word Representations for Paraphrase Generation.

Shuming Ma, Xu Sun, Wei Li, Sujian Li, Wenjie Li, Xuancheng Ren

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

A Chinese Dataset with Negative Full Forms for General Abbreviation Prediction.

Yi Zhang, Xu Sun

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Building an Ellipsis-aware Chinese Dependency Treebank for Web Text.

Xuancheng Ren, Xu Sun, Ji Wen, Bingzhen Wei, Weidong Zhan, Zhiyuan Zhang

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification.

Shuming Ma, Xu Sun, Junyang Lin, Xuancheng Ren

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Learning Sentiment Memories for Sentiment Modification without Parallel Data.

Yi Zhang, Jingjing Xu, Pengcheng Yang, Xu Sun

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation.

Jingjing Xu, Xuancheng Ren, Yi Zhang, Qi Zeng, Xiaoyan Cai, Xu Sun

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text Generation.

Jingjing Xu, Xuancheng Ren, Junyang Lin, Xu Sun

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Auto-Dialabel: Labeling Dialogue Data with Unsupervised Learning.

Chen Shi, Qi Chen, Lei Sha, Sujian Li, Xu Sun, Houfeng Wang, Lintao Zhang

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation.

Liangchen Luo, Jingjing Xu, Junyang Lin, Qi Zeng, Xu Sun

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

simNet: Stepwise Image-Topic Merging Network for Generating Detailed and Comprehensive Image Captions.

Fenglin Liu, Xuancheng Ren, Yuanxin Liu, Houfeng Wang, Xu Sun

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification.

Junyang Lin, Qi Su, Pengcheng Yang, Shuming Ma, Xu Sun

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Learning When to Concentrate or Divert Attention: Self-Adaptive Attention Temperature for Neural Machine Translation.

Junyang Lin, Xu Sun, Xuancheng Ren, Muyu Li, Qi Su

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Does Higher Order LSTM Have Better Accuracy for Segmenting and Labeling Sequence Data?

Yi Zhang, Xu Sun, Shuming Ma, Yang Yang, Xuancheng Ren

Proceedings of the 27th International Conference on Computational Linguistics, 2018

SGM: Sequence Generation Model for Multi-label Classification.

Pengcheng Yang, Xu Sun, Wei Li, Shuming Ma, Wei Wu, Houfeng Wang

Proceedings of the 27th International Conference on Computational Linguistics, 2018

A Neural Question Answering Model Based on Semi-Structured Tables.

Hao Wang, Xiaodong Zhang, Shuming Ma, Xu Sun, Houfeng Wang, Mengxiang Wang

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Deconvolution-Based Global Decoding for Neural Machine Translation.

Junyang Lin, Xu Sun, Xuancheng Ren, Shuming Ma, Jinsong Su, Qi Su

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Automatic Academic Paper Rating Based on Modularized Hierarchical Convolutional Neural Network.

Pengcheng Yang, Xu Sun, Wei Li, Shuming Ma

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Question Condensing Networks for Answer Selection in Community Question Answering.

Wei Wu, Xu Sun, Houfeng Wang

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Bag-of-Words as Target for Neural Machine Translation.

Shuming Ma, Xu Sun, Yizhong Wang, Junyang Lin

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization.

Shuming Ma, Xu Sun, Junyang Lin, Houfeng Wang

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Global Encoding for Abstractive Summarization.

Junyang Lin, Xu Sun, Shuming Ma, Qi Su

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach.

Jingjing Xu, Xu Sun, Qi Zeng, Xiaodong Zhang, Xuancheng Ren, Houfeng Wang, Wenjie Li

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Duplicate Question Identification by Integrating FrameNet With Neural Networks.

Xiaodong Zhang, Xu Sun, Houfeng Wang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Modeling Scientific Influence for Research Trending Topic Prediction.

Chengyao Chen, Zhitao Wang, Wenjie Li, Xu Sun

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Complex Structure Leads to Overfitting: A Structure Regularization Decoding Method for Natural Language Processing.

Xu Sun, Weiwei Sun, Shuming Ma, Xuancheng Ren, Yi Zhang, Wenjie Li, Houfeng Wang

CoRR, 2017

Hybrid Oracle: Making Use of Ambiguity in Transition-based Chinese Dependency Parsing.

Xuancheng Ren, Xu Sun

CoRR, 2017

Does Higher Order LSTM Have Better Accuracy in Chunking and Named Entity Recognition?

Yi Zhang, Xu Sun, Yang Yang

CoRR, 2017

A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature Text.

Jingjing Xu, Ji Wen, Xu Sun, Qi Su

CoRR, 2017

Training Simplification and Model Simplification for Deep Learning: A Minimal Effort Back Propagation Method.

Xu Sun, Xuancheng Ren, Shuming Ma, Bingzhen Wei, Wei Li, Houfeng Wang

CoRR, 2017

Deep Stacking Networks for Low-Resource Chinese Word Segmentation with Transfer Learning.

Jingjing Xu, Xu Sun, Sujian Li, Xiaoyan Cai, Bingzhen Wei

CoRR, 2017

Label Embedding Network: Learning Label Representation for Soft Training of Deep Networks.

Xu Sun, Bingzhen Wei, Xuancheng Ren, Shuming Ma

CoRR, 2017

A Semantic Relevance Based Neural Network for Text Summarization and Text Simplification.

Shuming Ma, Xu Sun

CoRR, 2017

Minimal Effort Back Propagation for Convolutional Neural Networks.

Bingzhen Wei, Xu Sun, Xuancheng Ren, Jingjing Xu

CoRR, 2017

Transfer Learning for Low-Resource Chinese Word Segmentation with a Novel Neural Network.

Jingjing Xu, Xu Sun

CoRR, 2017

Lock-Free Parallel Perceptron for Graph-based Dependency Parsing.

Xu Sun, Shuming Ma

CoRR, 2017

A Generic Online Parallel Learning Framework for Large Margin Models.

Shuming Ma, Xu Sun

CoRR, 2017

Transfer Deep Learning for Low-Resource Chinese Word Segmentation with a Novel Neural Network.

Jingjing Xu, Shuming Ma, Yi Zhang, Bingzhen Wei, Xiaoyan Cai, Xu Sun

Proceedings of the Natural Language Processing and Chinese Computing, 2017

Tag-Enhanced Tree-Structured Neural Networks for Implicit Discourse Relation Classification.

Yizhong Wang, Sujian Li, Jingfeng Yang, Xu Sun, Houfeng Wang

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Cascading Multiway Attentions for Document-level Sentiment Classification.

Dehong Ma, Sujian Li, Xiaodong Zhang, Houfeng Wang, Xu Sun

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Addressing Domain Adaptation for Chinese Word Segmentation with Global Recurrent Structure.

Shen Huang, Xu Sun, Houfeng Wang

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting.

Xu Sun, Xuancheng Ren, Shuming Ma, Houfeng Wang

Proceedings of the 34th International Conference on Machine Learning, 2017

F-Score Driven Max Margin Neural Network for Named Entity Recognition in Chinese Social Media.

Hangfeng He, Xu Sun

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization.

Shuming Ma, Xu Sun, Jingjing Xu, Houfeng Wang, Wenjie Li, Qi Su

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

A Unified Model for Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media.

Hangfeng He, Xu Sun

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

A New Recurrent Neural CRF for Learning Non-linear Edge Features.

Shuming Ma, Xu Sun

CoRR, 2016

Asynchronous Parallel Learning for Neural Networks and Structured Models with Dense Features.

Xu Sun

Proceedings of the COLING 2016, 2016

Dependency-based Gated Recursive Neural Network for Chinese Word Segmentation.

Jingjing Xu, Xu Sun

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Knowledge-Based Semantic Embedding for Machine Translation.

Chen Shi, Shujie Liu, Shuo Ren, Shi Feng, Mu Li, Ming Zhou, Xu Sun, Houfeng Wang

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Towards Shockingly Easy Structured Classification: A Search-based Probabilistic Online Learning Framework.

Xu Sun

CoRR, 2015

Multi-label Text Categorization with Joint Learning Predictions-as-Features Method.

Li Li, Houfeng Wang, Xu Sun, Baobao Chang, Shi Zhao, Lei Sha

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014

Structure Regularization for Structured Prediction: Theories and Experiments.

Xu Sun

CoRR, 2014

Exact Decoding on Latent Variable Conditional Models is NP-Hard.

Xu Sun

CoRR, 2014

Feature-Frequency-Adaptive On-line Training for Fast and Accurate Natural Language Processing.

Xu Sun, Wenjie Li, Houfeng Wang, Qin Lu

Comput. Linguistics, 2014

Structure Regularization for Structured Prediction.

Xu Sun

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Predicting Chinese Abbreviations with Minimum Semantic Unit and Global Constraints.

Longkai Zhang, Li Li, Houfeng Wang, Xu Sun

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Coarse-grained Candidate Generation and Fine-grained Re-ranking for Chinese Abbreviation Prediction.

Longkai Zhang, Houfeng Wang, Xu Sun

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013

Latent Structured Perceptrons for Large-Scale Learning with Hidden Information.

Xu Sun, Takuya Matsuzaki, Wenjie Li

IEEE Trans. Knowl. Data Eng., 2013

Large-Scale Personalized Human Activity Recognition Using Online Multitask Learning.

Xu Sun, Hisashi Kashima, Naonori Ueda

IEEE Trans. Knowl. Data Eng., 2013

Learning Abbreviations from Chinese and English Terms by Modeling Non-Local Information.

Xu Sun, Naoaki Okazaki, Jun'ichi Tsujii, Houfeng Wang

ACM Trans. Asian Lang. Inf. Process., 2013

Probabilistic Chinese word segmentation with non-local information and stochastic training.

Xu Sun, Yao-zhong Zhang, Takuya Matsuzaki, Yoshimasa Tsuruoka, Jun'ichi Tsujii

Inf. Process. Manag., 2013

Generalized Abbreviation Prediction with Negative Full Forms and Its Application on Improving Chinese Web Search.

Xu Sun, Wenjie Li, Fanqi Meng, Houfeng Wang

Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

Exploring Representations from Unlabeled Data with Co-training for Chinese Word Segmentation.

Longkai Zhang, Houfeng Wang, Xu Sun, Mairgup Mansur

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

A unified graph model for personalized query-oriented reference paper recommendation.

Fanqi Meng, Dehong Gao, Wenjie Li, Xu Sun, Yuexian Hou

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

Query spelling correction using multi-task learning.

Xu Sun, Anshumali Shrivastava, Ping Li

Proceedings of the 21st World Wide Web Conference, 2012

Fast multi-task learning for query spelling correction.

Xu Sun, Anshumali Shrivastava, Ping Li

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Fast Online Training with Frequency-Adaptive Learning Rates for Chinese Word Segmentation and New Word Detection.

Xu Sun, Houfeng Wang, Wenjie Li

Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011

Large Scale Real-Life Action Recognition Using Conditional Random Fields with Stochastic Training.

Xu Sun, Hisashi Kashima, Ryota Tomioka, Naonori Ueda

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

A New Multi-task Learning Method for Personalized Activity Recognition.

Xu Sun, Hisashi Kashima, Ryota Tomioka, Naonori Ueda, Ping Li

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010

Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust, and Fast Training Method.

Xu Sun, Hisashi Kashima, Takuya Matsuzaki, Naonori Ueda

Proceedings of the ICDM 2010, 2010

A Large Scale Ranker-Based System for Search Query Spelling Correction.

Jianfeng Gao, Xiaolong Li, Daniel Micol, Chris Quirk, Xu Sun

Proceedings of the COLING 2010, 2010

Learning Phrase-Based Spelling Error Models from Clickthrough Data.

Xu Sun, Jianfeng Gao, Daniel Micol, Chris Quirk

Proceedings of the ACL 2010, 2010

2009

A Discriminative Latent Variable Chinese Segmenter with Hybrid Word/Character Information.

Xu Sun, Yao-zhong Zhang, Takuya Matsuzaki, Yoshimasa Tsuruoka, Jun'ichi Tsujii

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Latent Variable Perceptron Algorithm for Structured Classification.

Xu Sun, Takuya Matsuzaki, Daisuke Okanohara, Jun'ichi Tsujii

Proceedings of the IJCAI 2009, 2009

Sequential Labeling with Latent Variables: An Exact Inference Algorithm and its Efficient Approximation.

Xu Sun, Jun'ichi Tsujii

Proceedings of the EACL 2009, 12th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, Athens, Greece, March 30, 2009

Robust Approach to Abbreviating Terms: A Discriminative Latent Variable Model with Global Information.

Xu Sun, Naoaki Okazaki, Jun'ichi Tsujii

Proceedings of the ACL 2009, 2009

2008

Predicting Chinese Abbreviations from Definitions: An Empirical Learning Approach Using Support Vector Regression.

Xu Sun, Houfeng Wang, Bo Wang

J. Comput. Sci. Technol., 2008

Modeling Latent-Dynamic in Shallow Parsing: A Latent Conditional Model with Imrpoved Inference.

Xu Sun, Louis-Philippe Morency, Daisuke Okanohara, Yoshimasa Tsuruoka, Jun'ichi Tsujii

Proceedings of the COLING 2008, 2008

2007

Word Clustering for Collocation-Based Word Sense Disambiguation.

Peng Jin, Xu Sun, Yunfang Wu, Shiwen Yu

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2007

2006

Chinese Abbreviation-Definition Identification: A SVM Approach Using Context Information.

Xu Sun, Houfeng Wang, Yu Zhang

Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Chinese Abbreviation Identification Using Abbreviation-Template Features and Context Information.

Xu Sun, Houfeng Wang

Proceedings of the Computer Processing of Oriental Languages. Beyond the Orient: The Research Challenges Ahead, 2006