Chuanqi Tan

According to our database, Chuanqi Tan authored at least 91 papers between 2014 and 2024.

Collaborative distances:

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

2024

Sequence Labeling as Non-Autoregressive Dual-Query Set Generation.

Xiang Chen, Lei Li, Yuqi Zhu, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Ningyu Zhang, Huajun Chen

IEEE ACM Trans. Audio Speech Lang. Process., 2024

2023

LOGEN: Few-Shot Logical Knowledge-Conditioned Text Generation With Self-Training.

Shumin Deng, Jiacheng Yang, Hongbin Ye, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang, Huajun Chen, Ningyu Zhang

IEEE ACM Trans. Audio Speech Lang. Process., 2023

Biomedical Question Answering: A Survey of Approaches and Challenges.

Qiao Jin, Zheng Yuan, Guangzhi Xiong, Qianlan Yu, Huaiyuan Ying, Chuanqi Tan, Mosha Chen, Songfang Huang, Xiaozhong Liu, Sheng Yu

ACM Comput. Surv., 2023

Query and Response Augmentation Cannot Help Out-of-domain Math Reasoning Generalization.

Chengpeng Li, Zheng Yuan, Hongyi Yuan, Guanting Dong, Keming Lu, Jiancan Wu, Chuanqi Tan, Xiang Wang, Chang Zhou

CoRR, 2023

Qwen Technical Report.

Jinze Bai, Shuai Bai, Yunfei Chu, Zeyu Cui, Kai Dang, Xiaodong Deng, Yang Fan, Wenbin Ge, Yu Han, Fei Huang, Binyuan Hui, Luo Ji, Mei Li, Junyang Lin, Runji Lin, Dayiheng Liu, Gao Liu, Chengqiang Lu, Keming Lu, Jianxin Ma, Rui Men, Xingzhang Ren, Xuancheng Ren, Chuanqi Tan, Sinan Tan, Jianhong Tu, Peng Wang, Shijie Wang, Wei Wang, Shengguang Wu, Benfeng Xu, Jin Xu, An Yang, Hao Yang, Jian Yang, Shusheng Yang, Yang Yao, Bowen Yu, Hongyi Yuan, Zheng Yuan, Jianwei Zhang, Xingxuan Zhang, Yichang Zhang, Zhenru Zhang, Chang Zhou, Jingren Zhou, Xiaohuan Zhou, Tianhang Zhu

CoRR, 2023

Boosting In-Context Learning with Factual Knowledge.

Jianing Wang, Chengyu Wang, Chuanqi Tan, Jun Huang, Ming Gao

CoRR, 2023

#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models.

Keming Lu, Hongyi Yuan, Zheng Yuan, Runji Lin, Junyang Lin, Chuanqi Tan, Chang Zhou, Jingren Zhou

CoRR, 2023

Scaling Relationship on Learning Mathematical Reasoning with Large Language Models.

Zheng Yuan, Hongyi Yuan, Chengpeng Li, Guanting Dong, Chuanqi Tan, Chang Zhou

CoRR, 2023

VECO 2.0: Cross-lingual Language Model Pre-training with Multi-granularity Contrastive Learning.

Zhenru Zhang, Chuanqi Tan, Songfang Huang, Fei Huang

CoRR, 2023

RRHF: Rank Responses to Align Language Models with Human Feedback without tears.

Zheng Yuan, Hongyi Yuan, Chuanqi Tan, Wei Wang, Songfang Huang, Fei Huang

CoRR, 2023

How well do Large Language Models perform in Arithmetic tasks?

Zheng Yuan, Hongyi Yuan, Chuanqi Tan, Wei Wang, Songfang Huang

CoRR, 2023

RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-training.

Zheng Yuan, Qiao Jin, Chuanqi Tan, Zhengyun Zhao, Hongyi Yuan, Fei Huang, Songfang Huang

CoRR, 2023

Molecular Geometry-aware Transformer for accurate 3D Atomic System modeling.

Zheng Yuan, Yaoyun Zhang, Chuanqi Tan, Wei Wang, Fei Huang, Songfang Huang

CoRR, 2023

RRHF: Rank Responses to Align Language Models with Human Feedback.

Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Wei Wang, Songfang Huang, Fei Huang

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

RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-training.

Zheng Yuan, Qiao Jin, Chuanqi Tan, Zhengyun Zhao, Hongyi Yuan, Fei Huang, Songfang Huang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER.

Xiang Chen, Lei Li, Shuofei Qiao, Ningyu Zhang, Chuanqi Tan, Yong Jiang, Fei Huang, Huajun Chen

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Knowledge Rumination for Pre-trained Language Models.

Yunzhi Yao, Peng Wang, Shengyu Mao, Chuanqi Tan, Fei Huang, Huajun Chen, Ningyu Zhang

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

Sharing, Teaching and Aligning: Knowledgeable Transfer Learning for Cross-Lingual Machine Reading Comprehension.

Tingfeng Cao, Chengyu Wang, Chuanqi Tan, Jun Huang, Jinhui Zhu

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

Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning.

Zhenru Zhang, Chuanqi Tan, Haiyang Xu, Chengyu Wang, Jun Huang, Songfang Huang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation.

Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Fei Huang, Songfang Huang

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

XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding.

Moming Tang, Chengyu Wang, Jianing Wang, Chuanqi Tan, Songfang Huang, Cen Chen, Weining Qian

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

Reasoning with Language Model Prompting: A Survey.

Shuofei Qiao, Yixin Ou, Ningyu Zhang, Xiang Chen, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Huajun Chen

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

2022

Low-resource extraction with knowledge-aware pairwise prototype learning.

Shumin Deng, Ningyu Zhang, Hui Chen, Chuanqi Tan, Fei Huang, Changliang Xu, Huajun Chen

Knowl. Based Syst., 2022

SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers.

Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Fei Huang, Songfang Huang

CoRR, 2022

Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction.

Xiang Chen, Ningyu Zhang, Lei Li, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen

CoRR, 2022

Contrastive Demonstration Tuning for Pre-trained Language Models.

Xiaozhuan Liang, Ningyu Zhang, Siyuan Cheng, Zhen Bi, Zhenru Zhang, Chuanqi Tan, Songfang Huang, Fei Huang, Huajun Chen

CoRR, 2022

DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population.

Ningyu Zhang, Xin Xu, Liankuan Tao, Haiyang Yu, Hongbin Ye, Xin Xie, Xiang Chen, Zhoubo Li, Lei Li, Xiaozhuan Liang, Yunzhi Yao, Shumin Deng, Wen Zhang, Zhenru Zhang, Chuanqi Tan, Fei Huang, Guozhou Zheng, Huajun Chen

CoRR, 2022

KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction.

Xiang Chen, Ningyu Zhang, Xin Xie, Shumin Deng, Yunzhi Yao, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion.

Xiang Chen, Ningyu Zhang, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning.

Xiang Chen, Lei Li, Ningyu Zhang, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning.

Xiang Chen, Lei Li, Ningyu Zhang, Xiaozhuan Liang, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen

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

Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction.

Xiang Chen, Ningyu Zhang, Lei Li, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen

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

Parameter-Efficient Sparsity for Large Language Models Fine-Tuning.

Yuchao Li, Fuli Luo, Chuanqi Tan, Mengdi Wang, Songfang Huang, Shen Li, Junjie Bai

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

Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners.

Ningyu Zhang, Luoqiu Li, Xiang Chen, Shumin Deng, Zhen Bi, Chuanqi Tan, Fei Huang, Huajun Chen

Proceedings of the Tenth International Conference on Learning Representations, 2022

SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition.

Jianing Wang, Chengyu Wang, Chuanqi Tan, Minghui Qiu, Songfang Huang, Jun Huang, Ming Gao

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

Towards Unified Prompt Tuning for Few-shot Text Classification.

Jianing Wang, Chengyu Wang, Fuli Luo, Chuanqi Tan, Minghui Qiu, Fei Yang, Qiuhui Shi, Songfang Huang, Ming Gao

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

Contrastive Demonstration Tuning for Pre-trained Language Models.

Xiaozhuan Liang, Ningyu Zhang, Siyuan Cheng, Zhenru Zhang, Chuanqi Tan, Huajun Chen

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

LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting.

Xiang Chen, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen, Ningyu Zhang

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

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark.

Ningyu Zhang, Mosha Chen, Zhen Bi, Xiaozhuan Liang, Lei Li, Xin Shang, Kangping Yin, Chuanqi Tan, Jian Xu, Fei Huang, Luo Si, Yuan Ni, Guotong Xie, Zhifang Sui, Baobao Chang, Hui Zong, Zheng Yuan, Linfeng Li, Jun Yan, Hongying Zan, Kunli Zhang, Buzhou Tang, Qingcai Chen

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition.

Zheng Yuan, Chuanqi Tan, Songfang Huang, Fei Huang

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

Code Synonyms Do Matter: Multiple Synonyms Matching Network for Automatic ICD Coding.

Zheng Yuan, Chuanqi Tan, Songfang Huang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Learning to Ask for Data-Efficient Event Argument Extraction (Student Abstract).

Hongbin Ye, Ningyu Zhang, Zhen Bi, Shumin Deng, Chuanqi Tan, Hui Chen, Fei Huang, Huajun Chen

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

2021

Cross-Modal Knowledge Adaptation for Language-Based Person Search.

Yucheng Chen, Rui Huang, Hong Chang, Chuanqi Tan, Tao Xue, Bingpeng Ma

IEEE Trans. Image Process., 2021

Contrastive Information Extraction With Generative Transformer.

Ningyu Zhang, Hongbin Ye, Shumin Deng, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang, Huajun Chen

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Learning to Ask for Data-Efficient Event Argument Extraction.

Hongbin Ye, Ningyu Zhang, Zhen Bi, Shumin Deng, Chuanqi Tan, Hui Chen, Fei Huang, Huajun Chen

CoRR, 2021

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark.

Ningyu Zhang, Zhen Bi, Xiaozhuan Liang, Lei Li, Xiang Chen, Shumin Deng, Luoqiu Li, Hongbin Ye, Xin Shang, Kangping Yin, Chuanqi Tan, Jian Xu, Mosha Chen, Fei Huang, Luo Si, Yuan Ni, Guotong Xie, Zhifang Sui, Baobao Chang, Hui Zong, Zheng Yuan, Linfeng Li, Jun Yan, Hongying Zan, Kunli Zhang, Huajun Chen, Buzhou Tang, Qingcai Chen

CoRR, 2021

Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction.

Luoqiu Li, Xiang Chen, Ningyu Zhang, Shumin Deng, Xin Xie, Chuanqi Tan, Mosha Chen, Fei Huang, Huajun Chen

CoRR, 2021

Biomedical Question Answering: A Comprehensive Review.

Qiao Jin, Zheng Yuan, Guangzhi Xiong, Qianlan Yu, Chuanqi Tan, Mosha Chen, Songfang Huang, Xiaozhong Liu, Sheng Yu

CoRR, 2021

Alibaba DAMO Academy at TREC Clinical Trials 2021: ExploringEmbedding-based First-stage Retrieval with TrialMatcher.

Qiao Jin, Chuanqi Tan, Zhengyun Zhao, Zheng Yuan, Songfang Huang

Proceedings of the Thirtieth Text REtrieval Conference, 2021

Noisy-Labeled NER with Confidence Estimation.

Kun Liu, Yao Fu, Chuanqi Tan, Mosha Chen, Ningyu Zhang, Songfang Huang, Sheng Gao

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

Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction.

Luoqiu Li, Xiang Chen, Zhen Bi, Xin Xie, Shumin Deng, Ningyu Zhang, Chuanqi Tan, Mosha Chen, Huajun Chen

Proceedings of the IJCKG'21: The 10th International Joint Conference on Knowledge Graphs, Virtual Event, Thailand, December 6, 2021

Document-level Relation Extraction as Semantic Segmentation.

Ningyu Zhang, Xiang Chen, Xin Xie, Shumin Deng, Chuanqi Tan, Mosha Chen, Fei Huang, Luo Si, Huajun Chen

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

Probing BERT in Hyperbolic Spaces.

Boli Chen, Yao Fu, Guangwei Xu, Pengjun Xie, Chuanqi Tan, Mosha Chen, Liping Jing

Proceedings of the 9th International Conference on Learning Representations, 2021

Meta Gradient Adversarial Attack.

Zheng Yuan, Jie Zhang, Yunpei Jia, Chuanqi Tan, Tao Xue, Shiguang Shan

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning.

Runxin Xu, Fuli Luo, Zhiyuan Zhang, Chuanqi Tan, Baobao Chang, Songfang Huang, Fei Huang

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

Improving Biomedical Pretrained Language Models with Knowledge.

Zheng Yuan, Yijia Liu, Chuanqi Tan, Songfang Huang, Fei Huang

Proceedings of the 20th Workshop on Biomedical Language Processing, 2021

Contrastive Triple Extraction with Generative Transformer.

Hongbin Ye, Ningyu Zhang, Shumin Deng, Mosha Chen, Chuanqi Tan, Fei Huang, Huajun Chen

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

Nested Named Entity Recognition with Partially-Observed TreeCRFs.

Yao Fu, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang

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

2020

Show, Tell and Summarize: Dense Video Captioning Using Visual Cue Aided Sentence Summarization.

Zhiwang Zhang, Dong Xu, Wanli Ouyang, Chuanqi Tan

IEEE Trans. Circuits Syst. Video Technol., 2020

Aliababa DAMO Academy at TREC Precision Medicine 2020: State-of-the-art Evidence Retriever for Precision Medicine with Expert-in-the-loop Active Learning.

Qiao Jin, Chuanqi Tan, Mosha Chen, Ming Yan, Songfang Huang, Ningyu Zhang, Xiaozhong Liu

Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

Latent Template Induction with Gumbel-CRFs.

Yao Fu, Chuanqi Tan, Bin Bi, Mosha Chen, Yansong Feng, Alexander M. Rush

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

Overview of Monocular Depth Estimation Based on Deep Learning.

Quanfu Xu, Chuanqi Tan, Tao Xue, Shuqi Mei, Yan Shan

Proceedings of the Cognitive Systems and Signal Processing - 5th International Conference, 2020

Predicting Clinical Trial Results by Implicit Evidence Integration.

Qiao Jin, Chuanqi Tan, Mosha Chen, Xiaozhong Liu, Songfang Huang

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

Boundary Enhanced Neural Span Classification for Nested Named Entity Recognition.

Chuanqi Tan, Wei Qiu, Mosha Chen, Rui Wang, Fei Huang

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

2019

Feature Pyramid Reconfiguration With Consistent Loss for Object Detection.

Fuchun Sun, Tao Kong, Wen-bing Huang, Chuanqi Tan, Bin Fang, Huaping Liu

IEEE Trans. Image Process., 2019

LDS-FCM: A Linear Dynamical System Based Fuzzy C-Means Method for Tactile Recognition.

Chunfang Liu, Wen-bing Huang, Fuchun Sun, Minnan Luo, Chuanqi Tan

IEEE Trans. Fuzzy Syst., 2019

Fused Fuzzy Petri Nets: A Shared Control Method for Brain-Computer Interface Systems.

Fuchun Sun, Wenchang Zhang, Jianhua Chen, Hang Wu, Chuanqi Tan, Weihua Su

IEEE Trans. Cogn. Dev. Syst., 2019

A glove-based system for object recognition via visual-tactile fusion.

Bin Fang, Fuchun Sun, Huaping Liu, Chuanqi Tan, Di Guo

Sci. China Inf. Sci., 2019

Neural Melody Composition from Lyrics.

Hangbo Bao, Shaohan Huang, Furu Wei, Lei Cui, Yu Wu, Chuanqi Tan, Songhao Piao, Ming Zhou

Proceedings of the Natural Language Processing and Chinese Computing, 2019

Attention-based Transfer Learning for Brain-computer Interface.

Chuanqi Tan, Fuchun Sun, Tao Kong, Bin Fang, Wenchang Zhang

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Context-Aware Answer Sentence Selection With Hierarchical Gated Recurrent Neural Networks.

Chuanqi Tan, Furu Wei, Qingyu Zhou, Nan Yang, Bowen Du, Weifeng Lv, Ming Zhou

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

I Know There Is No Answer: Modeling Answer Validation for Machine Reading Comprehension.

Chuanqi Tan, Furu Wei, Qingyu Zhou, Nan Yang, Weifeng Lv, Ming Zhou

Proceedings of the Natural Language Processing and Chinese Computing, 2018

DHA: Lidar and Vision data Fusion-based On Road Object Classifier.

Jianhui Zhao, Xinyu Newman Zhang, Hongbo Gao, Mo Zhou, Chuanqi Tan, Chong Xue

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Object Detection Based on Hierarchical Multi-view Proposal Network for Autonomous Driving.

Jianhui Zhao, Xinyu Newman Zhang, Hongbo Gao, Jialun Yin, Mo Zhou, Chuanqi Tan

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Adaptive Adversarial Transfer Learning for Electroencephalography Classification.

Chuanqi Tan, Fuchun Sun, Wenchang Zhang, Tao Kong, Chao Yang, Xinyu Zhang

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Multiway Attention Networks for Modeling Sentence Pairs.

Chuanqi Tan, Furu Wei, Wenhui Wang, Weifeng Lv, Ming Zhou

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

Deep Transfer Learning for EEG-Based Brain Computer Interface.

Chuanqi Tan, Fuchun Sun, Wenchang Zhang

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A Survey on Deep Transfer Learning.

Chuanqi Tan, Fuchun Sun, Tao Kong, Wenchang Zhang, Chao Yang, Chunfang Liu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Electroencephalography Classification in Brain-Computer Interface with Manifold Constraints Transfer.

Chuanqi Tan, Fuchun Sun, Wenchang Zhang, Tao Kong

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

S-Net: From Answer Extraction to Answer Synthesis for Machine Reading Comprehension.

Chuanqi Tan, Furu Wei, Nan Yang, Bowen Du, Weifeng Lv, Ming Zhou

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

2017

S-Net: From Answer Extraction to Answer Generation for Machine Reading Comprehension.

Chuanqi Tan, Furu Wei, Nan Yang, Weifeng Lv, Ming Zhou

CoRR, 2017

A hybrid EEG-based BCI for robot grasp controlling.

Wenchang Zhang, Fuchun Sun, Chunfang Liu, Weihua Su, Chuanqi Tan, Shaobo Liu

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Neural Question Generation from Text: A Preliminary Study.

Qingyu Zhou, Nan Yang, Furu Wei, Chuanqi Tan, Hangbo Bao, Ming Zhou

Proceedings of the Natural Language Processing and Chinese Computing, 2017

Multimodal Classification with Deep Convolutional-Recurrent Neural Networks for Electroencephalography.

Chuanqi Tan, Fuchun Sun, Wenchang Zhang, Jianhua Chen, Chunfang Liu

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Entity Linking for Queries by Searching Wikipedia Sentences.

Chuanqi Tan, Furu Wei, Pengjie Ren, Weifeng Lv, Ming Zhou

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Spatial and spectral features fusion for EEG classification during motor imagery in BCI.

Chuanqi Tan, Fuchun Sun, Wenchang Zhang, Shaobo Liu, Chunfang Liu

Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

SuperAgent: A Customer Service Chatbot for E-commerce Websites.

Lei Cui, Shaohan Huang, Furu Wei, Chuanqi Tan, Chaoqun Duan, Ming Zhou

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

2016

Low-Rank Linear Dynamical Systems for Motor Imagery EEG.

Wenchang Zhang, Fuchun Sun, Chuanqi Tan, Shaobo Liu

Comput. Intell. Neurosci., 2016

Linear Dynamical Systems Modeling for EEG-Based Motor Imagery Brain-Computer Interface.

Wenchang Zhang, Fuchun Sun, Chuanqi Tan, Shaobo Liu

Proceedings of the Cognitive Systems and Signal Processing, 2016

Solving and Generating Chinese Character Riddles.

Chuanqi Tan, Furu Wei, Li Dong, Weifeng Lv, Ming Zhou

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2014

Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification.

Li Dong, Furu Wei, Chuanqi Tan, Duyu Tang, Ming Zhou, Ke Xu

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014