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2020 – today
- 2024
[j13]Xiang Chen
, Lei Li, Yuqi Zhu, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Ningyu Zhang, Huajun Chen:
Sequence Labeling as Non-Autoregressive Dual-Query Set Generation. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1546-1558 (2024)- [c63]Chengpeng Li, Zheng Yuan, Hongyi Yuan, Guanting Dong, Keming Lu, Jiancan Wu, Chuanqi Tan, Xiang Wang, Chang Zhou:
MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning. ACL (1) 2024: 10230-10258 - [c62]Keming Lu, Hongyi Yuan, Zheng Yuan, Runji Lin, Junyang Lin, Chuanqi Tan, Chang Zhou, Jingren Zhou:
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models. ICLR 2024 - [c61]Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Fei Huang, Songfang Huang:
Text Diffusion Model with Encoder-Decoder Transformers for Sequence-to-Sequence Generation. NAACL-HLT 2024: 22-39 - [c60]Jianing Wang, Chengyu Wang, Chuanqi Tan, Jun Huang, Ming Gao:
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning. NAACL-HLT (Findings) 2024: 3261-3280 - 2023
- [j12]Qiao Jin, Zheng Yuan, Guangzhi Xiong, Qianlan Yu, Huaiyuan Ying, Chuanqi Tan, Mosha Chen, Songfang Huang, Xiaozhong Liu, Sheng Yu:
Biomedical Question Answering: A Survey of Approaches and Challenges. ACM Comput. Surv. 55(2): 35:1-35:36 (2023) - [j11]Shumin Deng, Jiacheng Yang, Hongbin Ye, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang, Huajun Chen, Ningyu Zhang:
LOGEN: Few-Shot Logical Knowledge-Conditioned Text Generation With Self-Training. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2124-2133 (2023) - [c59]Zhenru Zhang, Chuanqi Tan, Haiyang Xu, Chengyu Wang, Jun Huang, Songfang Huang:
Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning. ACL (2) 2023: 1239-1248 - [c58]Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Fei Huang, Songfang Huang:
HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation. ACL (1) 2023: 3246-3264 - [c57]Shuofei Qiao, Yixin Ou, Ningyu Zhang, Xiang Chen, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Huajun Chen:
Reasoning with Language Model Prompting: A Survey. ACL (1) 2023: 5368-5393 - [c56]Moming Tang, Chengyu Wang, Jianing Wang, Chuanqi Tan, Songfang Huang, Cen Chen, Weining Qian:
XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding. ACL (Findings) 2023: 6368-6376 - [c55]Tingfeng Cao, Chengyu Wang, Chuanqi Tan, Jun Huang, Jinhui Zhu:
Sharing, Teaching and Aligning: Knowledgeable Transfer Learning for Cross-Lingual Machine Reading Comprehension. EMNLP (Findings) 2023: 455-467 - [c54]Yunzhi Yao, Peng Wang, Shengyu Mao, Chuanqi Tan, Fei Huang, Huajun Chen, Ningyu Zhang:
Knowledge Rumination for Pre-trained Language Models. EMNLP 2023: 3387-3404 - [c53]Xiang Chen, Lei Li, Shuofei Qiao, Ningyu Zhang, Chuanqi Tan, Yong Jiang, Fei Huang, Huajun Chen:
One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER. IJCAI 2023: 5030-5038 - [c52]Zheng Yuan, Qiao Jin, Chuanqi Tan, Zhengyun Zhao, Hongyi Yuan, Fei Huang, Songfang Huang:
RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-training. ACM Multimedia 2023: 547-556 - [c51]Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Wei Wang, Songfang Huang, Fei Huang:
RRHF: Rank Responses to Align Language Models with Human Feedback. NeurIPS 2023 - [i54]Xiang Chen, Lei Li, Shuofei Qiao, Ningyu Zhang, Chuanqi Tan, Yong Jiang, Fei Huang, Huajun Chen:
One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER. CoRR abs/2301.10410 (2023) - [i53]Zheng Yuan, Yaoyun Zhang, Chuanqi Tan, Wei Wang, Fei Huang, Songfang Huang:
Molecular Geometry-aware Transformer for accurate 3D Atomic System modeling. CoRR abs/2302.00855 (2023) - [i52]Zheng Yuan, Qiao Jin, Chuanqi Tan, Zhengyun Zhao, Hongyi Yuan, Fei Huang, Songfang Huang:
RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-training. CoRR abs/2303.00534 (2023) - [i51]Zheng Yuan, Hongyi Yuan, Chuanqi Tan, Wei Wang, Songfang Huang:
How well do Large Language Models perform in Arithmetic tasks? CoRR abs/2304.02015 (2023) - [i50]Zheng Yuan, Hongyi Yuan, Chuanqi Tan, Wei Wang, Songfang Huang, Fei Huang:
RRHF: Rank Responses to Align Language Models with Human Feedback without tears. CoRR abs/2304.05302 (2023) - [i49]Zhenru Zhang, Chuanqi Tan, Songfang Huang, Fei Huang:
VECO 2.0: Cross-lingual Language Model Pre-training with Multi-granularity Contrastive Learning. CoRR abs/2304.08205 (2023) - [i48]Yunzhi Yao, Peng Wang, Shengyu Mao, Chuanqi Tan, Fei Huang, Huajun Chen, Ningyu Zhang:
Knowledge Rumination for Pre-trained Language Models. CoRR abs/2305.08732 (2023) - [i47]Zhenru Zhang, Chuanqi Tan, Haiyang Xu, Chengyu Wang, Jun Huang, Songfang Huang:
Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning. CoRR abs/2305.15212 (2023) - [i46]Zheng Yuan, Hongyi Yuan, Chengpeng Li, Guanting Dong, Chuanqi Tan, Chang Zhou:
Scaling Relationship on Learning Mathematical Reasoning with Large Language Models. CoRR abs/2308.01825 (2023) - [i45]Keming Lu, Hongyi Yuan, Zheng Yuan, Runji Lin, Junyang Lin, Chuanqi Tan, Chang Zhou, Jingren Zhou:
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models. CoRR abs/2308.07074 (2023) - [i44]Jianing Wang, Chengyu Wang, Chuanqi Tan, Jun Huang, Ming Gao:
Boosting In-Context Learning with Factual Knowledge. CoRR abs/2309.14771 (2023) - [i43]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:
Qwen Technical Report. CoRR abs/2309.16609 (2023) - [i42]Chengpeng Li, Zheng Yuan, Hongyi Yuan, Guanting Dong, Keming Lu, Jiancan Wu, Chuanqi Tan, Xiang Wang, Chang Zhou:
Query and Response Augmentation Cannot Help Out-of-domain Math Reasoning Generalization. CoRR abs/2310.05506 (2023) - [i41]Tingfeng Cao, Chengyu Wang, Chuanqi Tan, Jun Huang, Jinhui Zhu:
Sharing, Teaching and Aligning: Knowledgeable Transfer Learning for Cross-Lingual Machine Reading Comprehension. CoRR abs/2311.06758 (2023) - 2022
- [j10]Shumin Deng, Ningyu Zhang, Hui Chen, Chuanqi Tan, Fei Huang, Changliang Xu, Huajun Chen:
Low-resource extraction with knowledge-aware pairwise prototype learning. Knowl. Based Syst. 235: 107584 (2022) - [c50]Hongbin Ye, Ningyu Zhang, Zhen Bi, Shumin Deng, Chuanqi Tan, Hui Chen, Fei Huang, Huajun Chen:
Learning to Ask for Data-Efficient Event Argument Extraction (Student Abstract). AAAI 2022: 13099-13100 - [c49]Zheng Yuan, Chuanqi Tan, Songfang Huang:
Code Synonyms Do Matter: Multiple Synonyms Matching Network for Automatic ICD Coding. ACL (2) 2022: 808-814 - [c48]Zheng Yuan, Chuanqi Tan, Songfang Huang, Fei Huang:
Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition. ACL (Findings) 2022: 3174-3186 - [c47]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:
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. ACL (1) 2022: 7888-7915 - [c46]Xiang Chen, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen, Ningyu Zhang:
LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting. COLING 2022: 2374-2387 - [c45]Jianing Wang, Chengyu Wang, Fuli Luo, Chuanqi Tan, Minghui Qiu, Fei Yang, Qiuhui Shi, Songfang Huang, Ming Gao:
Towards Unified Prompt Tuning for Few-shot Text Classification. EMNLP (Findings) 2022: 524-536 - [c44]Xiaozhuan Liang, Ningyu Zhang, Siyuan Cheng, Zhenru Zhang, Chuanqi Tan, Huajun Chen:
Contrastive Demonstration Tuning for Pre-trained Language Models. EMNLP (Findings) 2022: 799-811 - [c43]Jianing Wang, Chengyu Wang, Chuanqi Tan, Minghui Qiu, Songfang Huang, Jun Huang, Ming Gao:
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition. EMNLP 2022: 3466-3476 - [c42]Ningyu Zhang, Luoqiu Li, Xiang Chen, Shumin Deng, Zhen Bi, Chuanqi Tan, Fei Huang, Huajun Chen:
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners. ICLR 2022 - [c41]Yuchao Li, Fuli Luo, Chuanqi Tan, Mengdi Wang, Songfang Huang, Shen Li, Junjie Bai:
Parameter-Efficient Sparsity for Large Language Models Fine-Tuning. IJCAI 2022: 4223-4229 - [c40]Xiang Chen, Ningyu Zhang, Lei Li, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction. NAACL-HLT (Findings) 2022: 1607-1618 - [c39]Xiang Chen, Lei Li, Ningyu Zhang, Xiaozhuan Liang, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning. NeurIPS 2022 - [c38]Xiang Chen, Ningyu Zhang, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen:
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion. SIGIR 2022: 904-915 - [c37]Xiang Chen, Lei Li, Ningyu Zhang, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning. SIGIR 2022: 2443-2448 - [c36]Xiang Chen, Ningyu Zhang, Xin Xie, Shumin Deng, Yunzhi Yao, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction. WWW 2022: 2778-2788 - [i40]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:
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population. CoRR abs/2201.03335 (2022) - [i39]Zheng Yuan, Chuanqi Tan, Songfang Huang:
Code Synonyms Do Matter: Multiple Synonyms Matching Network for Automatic ICD Coding. CoRR abs/2203.01515 (2022) - [i38]Xiaozhuan Liang, Ningyu Zhang, Siyuan Cheng, Zhen Bi, Zhenru Zhang, Chuanqi Tan, Songfang Huang, Fei Huang, Huajun Chen:
Contrastive Demonstration Tuning for Pre-trained Language Models. CoRR abs/2204.04392 (2022) - [i37]Xiang Chen, Lei Li, Ningyu Zhang, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning. CoRR abs/2205.02355 (2022) - [i36]Xiang Chen, Ningyu Zhang, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen:
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion. CoRR abs/2205.02357 (2022) - [i35]Xiang Chen, Ningyu Zhang, Lei Li, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction. CoRR abs/2205.03521 (2022) - [i34]Jianing Wang, Chengyu Wang, Fuli Luo, Chuanqi Tan, Minghui Qiu, Fei Yang, Qiuhui Shi, Songfang Huang, Ming Gao:
Towards Unified Prompt Tuning for Few-shot Text Classification. CoRR abs/2205.05313 (2022) - [i33]Yuchao Li, Fuli Luo, Chuanqi Tan, Mengdi Wang, Songfang Huang, Shen Li, Junjie Bai:
Parameter-Efficient Sparsity for Large Language Models Fine-Tuning. CoRR abs/2205.11005 (2022) - [i32]Xiang Chen, Lei Li, Ningyu Zhang, Xiaozhuan Liang, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning. CoRR abs/2205.14704 (2022) - [i31]Jianing Wang, Chengyu Wang, Chuanqi Tan, Minghui Qiu, Songfang Huang, Jun Huang, Ming Gao:
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition. CoRR abs/2210.09049 (2022) - [i30]Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Fei Huang, Songfang Huang:
HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation. CoRR abs/2212.08853 (2022) - [i29]Shuofei Qiao, Yixin Ou, Ningyu Zhang, Xiang Chen, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Huajun Chen:
Reasoning with Language Model Prompting: A Survey. CoRR abs/2212.09597 (2022) - [i28]Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Fei Huang, Songfang Huang:
SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers. CoRR abs/2212.10325 (2022) - 2021
- [j9]Ningyu Zhang, Hongbin Ye, Shumin Deng, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang, Huajun Chen:
Contrastive Information Extraction With Generative Transformer. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3077-3088 (2021) - [j8]Yucheng Chen, Rui Huang, Hong Chang, Chuanqi Tan, Tao Xue, Bingpeng Ma:
Cross-Modal Knowledge Adaptation for Language-Based Person Search. IEEE Trans. Image Process. 30: 4057-4069 (2021) - [c35]Yao Fu, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang:
Nested Named Entity Recognition with Partially-Observed TreeCRFs. AAAI 2021: 12839-12847 - [c34]Hongbin Ye, Ningyu Zhang, Shumin Deng, Mosha Chen, Chuanqi Tan, Fei Huang, Huajun Chen:
Contrastive Triple Extraction with Generative Transformer. AAAI 2021: 14257-14265 - [c33]Zheng Yuan, Yijia Liu, Chuanqi Tan, Songfang Huang, Fei Huang:
Improving Biomedical Pretrained Language Models with Knowledge. BioNLP@NAACL-HLT 2021: 180-190 - [c32]Runxin Xu, Fuli Luo, Zhiyuan Zhang, Chuanqi Tan, Baobao Chang, Songfang Huang, Fei Huang:
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning. EMNLP (1) 2021: 9514-9528 - [c31]Zheng Yuan, Jie Zhang, Yunpei Jia, Chuanqi Tan, Tao Xue, Shiguang Shan:
Meta Gradient Adversarial Attack. ICCV 2021: 7728-7737 - [c30]Boli Chen, Yao Fu, Guangwei Xu, Pengjun Xie, Chuanqi Tan, Mosha Chen, Liping Jing:
Probing BERT in Hyperbolic Spaces. ICLR 2021 - [c29]Ningyu Zhang, Xiang Chen, Xin Xie, Shumin Deng, Chuanqi Tan, Mosha Chen, Fei Huang, Luo Si, Huajun Chen:
Document-level Relation Extraction as Semantic Segmentation. IJCAI 2021: 3999-4006 - [c28]Luoqiu Li, Xiang Chen, Zhen Bi, Xin Xie, Shumin Deng, Ningyu Zhang, Chuanqi Tan, Mosha Chen, Huajun Chen:
Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction. IJCKG 2021: 115-120 - [c27]Kun Liu, Yao Fu, Chuanqi Tan, Mosha Chen, Ningyu Zhang, Songfang Huang, Sheng Gao:
Noisy-Labeled NER with Confidence Estimation. NAACL-HLT 2021: 3437-3445 - [c26]Qiao Jin, Chuanqi Tan, Zhengyun Zhao, Zheng Yuan, Songfang Huang:
Alibaba DAMO Academy at TREC Clinical Trials 2021: ExploringEmbedding-based First-stage Retrieval with TrialMatcher. TREC 2021 - [i27]Qiao Jin, Zheng Yuan, Guangzhi Xiong, Qianlan Yu, Chuanqi Tan, Mosha Chen, Songfang Huang, Xiaozhong Liu, Sheng Yu:
Biomedical Question Answering: A Comprehensive Review. CoRR abs/2102.05281 (2021) - [i26]Luoqiu Li, Xiang Chen, Ningyu Zhang, Shumin Deng, Xin Xie, Chuanqi Tan, Mosha Chen, Fei Huang, Huajun Chen:
Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction. CoRR abs/2104.00312 (2021) - [i25]Boli Chen, Yao Fu, Guangwei Xu, Pengjun Xie, Chuanqi Tan, Mosha Chen, Liping Jing:
Probing BERT in Hyperbolic Spaces. CoRR abs/2104.03869 (2021) - [i24]Kun Liu, Yao Fu, Chuanqi Tan, Mosha Chen, Ningyu Zhang, Songfang Huang, Sheng Gao:
Noisy-Labeled NER with Confidence Estimation. CoRR abs/2104.04318 (2021) - [i23]Xiang Chen, Ningyu Zhang, Xin Xie, Shumin Deng, Yunzhi Yao, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen:
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction. CoRR abs/2104.07650 (2021) - [i22]Zheng Yuan, Yijia Liu, Chuanqi Tan, Songfang Huang, Fei Huang:
Improving Biomedical Pretrained Language Models with Knowledge. CoRR abs/2104.10344 (2021) - [i21]Ningyu Zhang, Xiang Chen, Xin Xie, Shumin Deng, Chuanqi Tan, Mosha Chen, Fei Huang, Luo Si, Huajun Chen:
Document-level Relation Extraction as Semantic Segmentation. CoRR abs/2106.03618 (2021) - [i20]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:
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. CoRR abs/2106.08087 (2021) - [i19]Zheng Yuan, Jie Zhang, Yunpei Jia, Chuanqi Tan, Tao Xue, Shiguang Shan:
Meta Gradient Adversarial Attack. CoRR abs/2108.04204 (2021) - [i18]Ningyu Zhang, Luoqiu Li, Xiang Chen, Shumin Deng, Zhen Bi, Chuanqi Tan, Fei Huang, Huajun Chen:
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners. CoRR abs/2108.13161 (2021) - [i17]Xiang Chen, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen, Ningyu Zhang:
LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting. CoRR abs/2109.00720 (2021) - [i16]Runxin Xu, Fuli Luo, Zhiyuan Zhang, Chuanqi Tan, Baobao Chang, Songfang Huang, Fei Huang:
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning. CoRR abs/2109.05687 (2021) - [i15]Hongbin Ye, Ningyu Zhang, Zhen Bi, Shumin Deng, Chuanqi Tan, Hui Chen, Fei Huang, Huajun Chen:
Learning to Ask for Data-Efficient Event Argument Extraction. CoRR abs/2110.00479 (2021) - [i14]Zheng Yuan, Chuanqi Tan, Songfang Huang, Fei Huang:
Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition. CoRR abs/2110.07480 (2021) - [i13]Ningyu Zhang, Hongbin Ye, Jiacheng Yang, Shumin Deng, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang, Huajun Chen:
LOGEN: Few-shot Logical Knowledge-Conditioned Text Generation with Self-training. CoRR abs/2112.01404 (2021) - 2020
- [j7]Zhiwang Zhang, Dong Xu, Wanli Ouyang, Chuanqi Tan:
Show, Tell and Summarize: Dense Video Captioning Using Visual Cue Aided Sentence Summarization. IEEE Trans. Circuits Syst. Video Technol. 30(9): 3130-3139 (2020) - [c25]Chuanqi Tan, Wei Qiu, Mosha Chen, Rui Wang, Fei Huang:
Boundary Enhanced Neural Span Classification for Nested Named Entity Recognition. AAAI 2020: 9016-9023 - [c24]Qiao Jin, Chuanqi Tan, Mosha Chen, Xiaozhong Liu, Songfang Huang:
Predicting Clinical Trial Results by Implicit Evidence Integration. EMNLP (1) 2020: 1461-1477 - [c23]Quanfu Xu, Chuanqi Tan, Tao Xue, Shuqi Mei, Yan Shan:
Overview of Monocular Depth Estimation Based on Deep Learning. ICCSIP 2020: 499-506 - [c22]Yao Fu, Chuanqi Tan, Bin Bi, Mosha Chen, Yansong Feng, Alexander M. Rush:
Latent Template Induction with Gumbel-CRFs. NeurIPS 2020 - [c21]Qiao Jin, Chuanqi Tan, Mosha Chen, Ming Yan, Songfang Huang, Ningyu Zhang, Xiaozhong Liu:
Aliababa DAMO Academy at TREC Precision Medicine 2020: State-of-the-art Evidence Retriever for Precision Medicine with Expert-in-the-loop Active Learning. TREC 2020 - [i12]Hongbin Ye, Ningyu Zhang, Shumin Deng, Mosha Chen, Chuanqi Tan, Fei Huang, Huajun Chen:
Contrastive Triple Extraction with Generative Transformer. CoRR abs/2009.06207 (2020) - [i11]Qiao Jin, Chuanqi Tan, Mosha Chen, Xiaozhong Liu, Songfang Huang:
Predicting Clinical Trial Results by Implicit Evidence Integration. CoRR abs/2010.05639 (2020) - [i10]Yao Fu, Chuanqi Tan, Bin Bi, Mosha Chen, Yansong Feng, Alexander M. Rush:
Latent Template Induction with Gumbel-CRFs. CoRR abs/2011.14244 (2020) - [i9]Yao Fu, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang:
Nested Named Entity Recognition with Partially-Observed TreeCRFs. CoRR abs/2012.08478 (2020)
2010 – 2019
- 2019
- [j6]Bin Fang, Fuchun Sun, Huaping Liu, Chuanqi Tan, Di Guo:
A glove-based system for object recognition via visual-tactile fusion. Sci. China Inf. Sci. 62(5): 50203:1-50203:3 (2019) - [j5]Fuchun Sun, Wenchang Zhang, Jianhua Chen, Hang Wu, Chuanqi Tan, Weihua Su:
Fused Fuzzy Petri Nets: A Shared Control Method for Brain-Computer Interface Systems. IEEE Trans. Cogn. Dev. Syst. 11(2): 188-199 (2019) - [j4]Chunfang Liu, Wen-bing Huang, Fuchun Sun, Minnan Luo, Chuanqi Tan:
LDS-FCM: A Linear Dynamical System Based Fuzzy C-Means Method for Tactile Recognition. IEEE Trans. Fuzzy Syst. 27(1): 72-83 (2019) - [j3]Fuchun Sun, Tao Kong, Wen-bing Huang, Chuanqi Tan, Bin Fang, Huaping Liu:
Feature Pyramid Reconfiguration With Consistent Loss for Object Detection. IEEE Trans. Image Process. 28(10): 5041-5051 (2019) - [c20]Chuanqi Tan, Fuchun Sun, Tao Kong, Bin Fang, Wenchang Zhang:
Attention-based Transfer Learning for Brain-computer Interface. ICASSP 2019: 1154-1158 - [c19]Hangbo Bao, Shaohan Huang, Furu Wei, Lei Cui, Yu Wu, Chuanqi Tan, Songhao Piao, Ming Zhou:
Neural Melody Composition from Lyrics. NLPCC (1) 2019: 499-511 - [i8]Chuanqi Tan, Fuchun Sun, Tao Kong, Bin Fang, Wenchang Zhang:
Attention-based Transfer Learning for Brain-computer Interface. CoRR abs/1904.11950 (2019) - 2018
- [j2]Chuanqi Tan, Furu Wei, Qingyu Zhou, Nan Yang, Bowen Du, Weifeng Lv, Ming Zhou:
Context-Aware Answer Sentence Selection With Hierarchical Gated Recurrent Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 26(3): 540-549 (2018) - [c18]Chuanqi Tan, Furu Wei, Nan Yang, Bowen Du, Weifeng Lv, Ming Zhou:
S-Net: From Answer Extraction to Answer Synthesis for Machine Reading Comprehension. AAAI 2018: 5940-5947 - [c17]Chuanqi Tan, Fuchun Sun, Wenchang Zhang, Tao Kong:
Electroencephalography Classification in Brain-Computer Interface with Manifold Constraints Transfer. EMBC 2018: 1058-1061 - [c16]Chuanqi Tan, Fuchun Sun, Tao Kong, Wenchang Zhang, Chao Yang, Chunfang Liu:
A Survey on Deep Transfer Learning. ICANN (3) 2018: 270-279 - [c15]Chuanqi Tan, Fuchun Sun, Wenchang Zhang:
Deep Transfer Learning for EEG-Based Brain Computer Interface. ICASSP 2018: 916-920 - [c14]Chuanqi Tan, Furu Wei, Wenhui Wang, Weifeng Lv, Ming Zhou:
Multiway Attention Networks for Modeling Sentence Pairs. IJCAI 2018: 4411-4417 - [c13]Chuanqi Tan, Fuchun Sun, Wenchang Zhang, Tao Kong, Chao Yang, Xinyu Zhang:
Adaptive Adversarial Transfer Learning for Electroencephalography Classification. IJCNN 2018: 1-8 - [c12]Jianhui Zhao, Xinyu Newman Zhang, Hongbo Gao, Jialun Yin, Mo Zhou, Chuanqi Tan:
Object Detection Based on Hierarchical Multi-view Proposal Network for Autonomous Driving. IJCNN 2018: 1-6 - [c11]Jianhui Zhao, Xinyu Newman Zhang, Hongbo Gao, Mo Zhou, Chuanqi Tan, Chong Xue:
DHA: Lidar and Vision data Fusion-based On Road Object Classifier. IJCNN 2018: 1-7 - [c10]Chuanqi Tan, Furu Wei, Qingyu Zhou, Nan Yang, Weifeng Lv, Ming Zhou:
I Know There Is No Answer: Modeling Answer Validation for Machine Reading Comprehension. NLPCC (1) 2018: 85-97 - [i7]Chuanqi Tan, Fuchun Sun, Wenchang Zhang, Jianhua Chen, Chunfang Liu:
Multimodal Classification with Deep Convolutional-Recurrent Neural Networks for Electroencephalography. CoRR abs/1807.10641 (2018) - [i6]Chuanqi Tan, Fuchun Sun, Wenchang Zhang:
Deep Transfer Learning for EEG-based Brain Computer Interface. CoRR abs/1808.01752 (2018) - [i5]Chuanqi Tan, Fuchun Sun, Tao Kong, Wenchang Zhang, Chao Yang, Chunfang Liu:
A Survey on Deep Transfer Learning. CoRR abs/1808.01974 (2018) - [i4]Hangbo Bao, Shaohan Huang, Furu Wei, Lei Cui, Yu Wu, Chuanqi Tan, Songhao Piao, Ming Zhou:
Neural Melody Composition from Lyrics. CoRR abs/1809.04318 (2018) - 2017
- [c9]Lei Cui, Shaohan Huang, Furu Wei, Chuanqi Tan, Chaoqun Duan, Ming Zhou:
SuperAgent: A Customer Service Chatbot for E-commerce Websites. ACL (System Demonstrations) 2017: 97-102 - [c8]Chuanqi Tan, Fuchun Sun, Wenchang Zhang, Shaobo Liu, Chunfang Liu:
Spatial and spectral features fusion for EEG classification during motor imagery in BCI. BHI 2017: 309-312 - [c7]Chuanqi Tan, Furu Wei, Pengjie Ren, Weifeng Lv, Ming Zhou:
Entity Linking for Queries by Searching Wikipedia Sentences. EMNLP 2017: 68-77 - [c6]Chuanqi Tan, Fuchun Sun, Wenchang Zhang, Jianhua Chen, Chunfang Liu:
Multimodal Classification with Deep Convolutional-Recurrent Neural Networks for Electroencephalography. ICONIP (2) 2017: 767-776 - [c5]Qingyu Zhou, Nan Yang, Furu Wei, Chuanqi Tan, Hangbo Bao, Ming Zhou:
Neural Question Generation from Text: A Preliminary Study. NLPCC 2017: 662-671 - [c4]Wenchang Zhang, Fuchun Sun, Chunfang Liu, Weihua Su, Chuanqi Tan, Shaobo Liu:
A hybrid EEG-based BCI for robot grasp controlling. SMC 2017: 3278-3283 - [i3]Qingyu Zhou, Nan Yang, Furu Wei, Chuanqi Tan, Hangbo Bao, Ming Zhou:
Neural Question Generation from Text: A Preliminary Study. CoRR abs/1704.01792 (2017) - [i2]Chuanqi Tan, Furu Wei, Pengjie Ren, Weifeng Lv, Ming Zhou:
Entity Linking for Queries by Searching Wikipedia Sentences. CoRR abs/1704.02788 (2017) - [i1]Chuanqi Tan, Furu Wei, Nan Yang, Weifeng Lv, Ming Zhou:
S-Net: From Answer Extraction to Answer Generation for Machine Reading Comprehension. CoRR abs/1706.04815 (2017) - 2016
- [j1]Wenchang Zhang, Fuchun Sun, Chuanqi Tan, Shaobo Liu:
Low-Rank Linear Dynamical Systems for Motor Imagery EEG. Comput. Intell. Neurosci. 2016: 2637603:1-2637603:7 (2016) - [c3]Chuanqi Tan, Furu Wei, Li Dong, Weifeng Lv, Ming Zhou:
Solving and Generating Chinese Character Riddles. EMNLP 2016: 846-855 - [c2]Wenchang Zhang, Fuchun Sun, Chuanqi Tan, Shaobo Liu:
Linear Dynamical Systems Modeling for EEG-Based Motor Imagery Brain-Computer Interface. ICCSIP 2016: 521-528 - 2014
- [c1]Li Dong, Furu Wei, Chuanqi Tan, Duyu Tang, Ming Zhou, Ke Xu:
Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification. ACL (2) 2014: 49-54
Coauthor Index
[j13] [j11] [c58] [c57] [c54] [c53] [c52] [i54] [i53] [i52] [i50] [i49] [i48] [i43] [j10] [c50] [c48] [c47] [c46] [c42] [c40] [c39] [c38] [c37] [c36] [i40] [i38] [i37] [i36] [i35] [i32] [i30] [i29] [i28] [j9] [c35] [c34] [c33] [c32] [c29] [i26] [i23] [i22] [i21] [i20] [i18] [i17] [i16] [i15] [i14] [i13] [c25] [i12] [i9]
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