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2020 – today
- 2025
[i51]Ziheng Wu, Zhenghao Chen, Ruipu Luo, Can Zhang, Yuan Gao, Zhentao He, Xian Wang, Haoran Lin, Minghui Qiu:
Valley2: Exploring Multimodal Models with Scalable Vision-Language Design. CoRR abs/2501.05901 (2025)- 2024
- [j11]Mamtimin Qasim
, Wushour Silamu, Minghui Qiu:
The Design of a Script Identification Algorithm and Its Application in Constructing a Text Language Identification Dataset. Data 9(11): 134 (2024) - [j10]Lei Li, Chengyu Wang, Minghui Qiu, Cen Chen, Ming Gao, Aoying Zhou:
Accelerating BERT inference with GPU-efficient exit prediction. Frontiers Comput. Sci. 18(3): 183308 (2024) - [j9]Ziyang Wang, Wei Wei, Ding Zou, Yifan Liu, Xiao-Li Li, Xian-Ling Mao, Minghui Qiu:
Exploring global information for session-based recommendation. Pattern Recognit. 145: 109911 (2024) - [j8]Ziyang Wang, Wei Wei, Shanshan Feng, Xian-Ling Mao, Minghui Qiu, Dangyang Chen, Rui Fang:
Exploiting Group-Level Behavior Pattern for Session-Based Recommendation. IEEE Trans. Knowl. Data Eng. 36(1): 152-166 (2024) - [c83]Zhen Wang, Da Li, Yulin Su, Min Yang, Minghui Qiu, Walton Wang:
FashionLOGO: Prompting Multimodal Large Language Models for Fashion Logo Embeddings. CIKM 2024: 4113-4117 - [c82]Mingyuan Fan, Yang Liu, Cen Chen, Chengyu Wang, Minghui Qiu, Wenmeng Zhou:
Guardian: Guarding against Gradient Leakage with Provable Defense for Federated Learning. WSDM 2024: 190-198 - [i50]Minghui Qiu, Yandao Huang, Lin Chen, Lu Wang, Kaishun Wu:
CODA: A COst-efficient Test-time Domain Adaptation Mechanism for HAR. CoRR abs/2403.14922 (2024) - [i49]Zejun Li, Ruipu Luo, Jiwen Zhang, Minghui Qiu, Zhongyu Wei:
VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models. CoRR abs/2405.16919 (2024) - [i48]Meng Wang, Tian Lin, Aidi Lin, Kai Yu, Yuanyuan Peng, Lianyu Wang, Cheng Chen, Ke Zou, Huiyu Liang, Man Chen, Xue Yao, Meiqin Zhang, Binwei Huang, Chaoxin Zheng, Peixin Zhang, Wei Chen, Yilong Luo, Yifan Chen, Honghe Xia, Tingkun Shi, Qi Zhang, Jinming Guo, Xiaolin Chen, Jingcheng Wang, Yih Chung Tham, Dianbo Liu, Wendy Wong, Sahil Thakur, Beau Fenner, Danqi Fang, Siying Liu, Qingyun Liu, Yuqiang Huang, Hongqiang Zeng, Yanda Meng, Yukun Zhou, Zehua Jiang, Minghui Qiu, Changqing Zhang, Xinjian Chen, Sophia Y. Wang, Cecilia S. Lee, Lucia Sobrin, Carol Y. Cheung, Chi Pui Pang, Pearse A Keane, Ching-Yu Cheng, Haoyu Chen, Huazhu Fu:
Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases. CoRR abs/2406.09317 (2024) - [i47]Sicheng Yu, Yuanchen Xu, Cunxiao Du, Yanying Zhou, Minghui Qiu, Qianru Sun, Hao Zhang, Jiawei Wu:
Reverse Modeling in Large Language Models. CoRR abs/2410.09817 (2024) - 2023
- [j7]Yandao Huang, Minghui Qiu, Lin Chen, Zhencan Peng, Qian Zhang, Kaishun Wu:
NF-Heart: A Near-field Non-contact Continuous User Authentication System via Ballistocardiogram. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(1): 16:1-16:24 (2023) - [j6]Lei Li, Tingting Liu, Chengyu Wang, Minghui Qiu, Cen Chen, Ming Gao, Aoying Zhou:
Resizing codebook of vector quantization without retraining. Multim. Syst. 29(3): 1499-1512 (2023) - [j5]Kaishun Wu, Yandao Huang, Minghui Qiu, Zhenkan Peng, Lu Wang:
Toward Device-free and User-independent Fall Detection Using Floor Vibration. ACM Trans. Sens. Networks 19(1): 5:1-5:20 (2023) - [c81]Chengcheng Han, Yuhe Wang, Yingnan Fu, Xiang Li, Minghui Qiu, Ming Gao, Aoying Zhou:
Meta-learning Siamese Network for Few-Shot Text Classification. DASFAA (3) 2023: 737-752 - [c80]Forrest Sheng Bao, Ruixuan Tu, Ge Luo, Yinfei Yang, Hebi Li, Minghui Qiu, Youbiao He, Cen Chen:
DocAsRef: An Empirical Study on Repurposing Reference-based Summary Quality Metrics as Reference-free Metrics. EMNLP (Findings) 2023: 1226-1235 - [c79]Taolin Zhang, Ruyao Xu, Chengyu Wang, Zhongjie Duan, Cen Chen, Minghui Qiu, Dawei Cheng, Xiaofeng He, Weining Qian:
Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding. EMNLP 2023: 15663-15676 - [c78]Xiaoqing Chen, Chengyu Wang, Junwei Dong, Minghui Qiu, Liang Feng, Jun Huang:
Boosting Prompt-Based Few-Shot Learners Through Out-of-Domain Knowledge Distillation. ICASSP 2023: 1-5 - [c77]Boyu Hou, Chengyu Wang, Xiaoqing Chen, Minghui Qiu, Liang Feng, Jun Huang:
Prompt-Distiller: Few-Shot Knowledge Distillation for Prompt-Based Language Learners with Dual Contrastive Learning. ICASSP 2023: 1-5 - [c76]Ziyun Xu, Chengyu Wang, Minghui Qiu, Fuli Luo, Runxin Xu, Songfang Huang, Jun Huang:
Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning. WSDM 2023: 438-446 - [i46]Chengcheng Han, Yuhe Wang, Yingnan Fu, Xiang Li, Minghui Qiu, Ming Gao, Aoying Zhou:
Meta-Learning Siamese Network for Few-Shot Text Classification. CoRR abs/2302.03507 (2023) - [i45]Ruipu Luo, Ziwang Zhao, Min Yang, Junwei Dong, Minghui Qiu, Pengcheng Lu, Tao Wang, Zhongyu Wei:
Valley: Video Assistant with Large Language model Enhanced abilitY. CoRR abs/2306.07207 (2023) - [i44]Yulin Su, Min Yang, Minghui Qiu, Jing Wang, Tao Wang:
FashionLOGO: Prompting Multimodal Large Language Models for Fashion Logo Embeddings. CoRR abs/2308.09012 (2023) - [i43]Ruyao Xu, Taolin Zhang, Chengyu Wang, Zhongjie Duan, Cen Chen, Minghui Qiu, Dawei Cheng, Xiaofeng He, Weining Qian:
Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding. CoRR abs/2311.06761 (2023) - 2022
- [j4]Chengyu Wang, Suyang Dai, Yipeng Wang, Fei Yang, Minghui Qiu, Kehan Chen, Wei Zhou, Jun Huang:
ARoBERT: An ASR Robust Pre-Trained Language Model for Spoken Language Understanding. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1207-1218 (2022) - [c75]Taolin Zhang, Chengyu Wang, Nan Hu, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang:
DKPLM: Decomposable Knowledge-Enhanced Pre-trained Language Model for Natural Language Understanding. AAAI 2022: 11703-11711 - [c74]Chengyu Wang, Minghui Qiu, Jun Huang:
Building Natural Language Processing Applications with EasyNLP. CIKM 2022: 5100-5101 - [c73]Chengyu Wang, Minghui Qiu, Taolin Zhang, Tingting Liu, Lei Li, Jianing Wang, Ming Wang, Jun Huang, Wei Lin:
EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing. EMNLP (Demos) 2022: 22-29 - [c72]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 - [c71]Tingting Liu, Chengyu Wang, Xiangru Zhu, Lei Li, Minghui Qiu, Jun Huang, Ming Gao, Yanghua Xiao:
ARTIST: A Transformer-based Chinese Text-to-Image Synthesizer Digesting Linguistic and World Knowledge. EMNLP (Findings) 2022: 881-888 - [c70]Jianing Wang, Chengyu Wang, Minghui Qiu, Qiuhui Shi, Hongbin Wang, Jun Huang, Ming Gao:
KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering. EMNLP 2022: 3152-3163 - [c69]Jianing Wang, Wenkang Huang, Minghui Qiu, Qiuhui Shi, Hongbin Wang, Xiang Li, Ming Gao:
Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding. EMNLP 2022: 3164-3177 - [c68]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 - [c67]Forrest Sheng Bao, Ge Luo, Hebi Li, Minghui Qiu, Yinfei Yang, Youbiao He, Cen Chen:
SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative Sampling. NAACL-HLT 2022: 2450-2458 - [c66]Ding Zou, Wei Wei, Xian-Ling Mao, Ziyang Wang, Minghui Qiu, Feida Zhu, Xin Cao:
Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System. SIGIR 2022: 1358-1368 - [i42]Ziyun Xu, Chengyu Wang, Minghui Qiu, Fuli Luo, Runxin Xu, Songfang Huang, Jun Huang:
Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning. CoRR abs/2204.00166 (2022) - [i41]Ding Zou, Wei Wei, Xian-Ling Mao, Ziyang Wang, Minghui Qiu, Feida Zhu, Xin Cao:
Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System. CoRR abs/2204.08807 (2022) - [i40]Chengyu Wang, Minghui Qiu, Taolin Zhang, Tingting Liu, Lei Li, Jianing Wang, Ming Wang, Jun Huang, Wei Lin:
EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing. CoRR abs/2205.00258 (2022) - [i39]Jianing Wang, Chengyu Wang, Minghui Qiu, Qiuhui Shi, Hongbin Wang, Jun Huang, Ming Gao:
KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering. CoRR abs/2205.03071 (2022) - [i38]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) - [i37]Jianing Wang, Wenkang Huang, Qiuhui Shi, Hongbin Wang, Minghui Qiu, Xiang Li, Ming Gao:
Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding. CoRR abs/2210.08536 (2022) - [i36]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) - 2021
- [c65]Lingyun Feng, Minghui Qiu, Yaliang Li, Hai-Tao Zheng, Ying Shen:
Learning to Augment for Data-scarce Domain BERT Knowledge Distillation. AAAI 2021: 7422-7430 - [c64]Minghui Qiu, Xinjing Huang, Cen Chen, Feng Ji, Chen Qu, Wei Wei, Jun Huang, Yin Zhang:
Reinforced History Backtracking for Conversational Question Answering. AAAI 2021: 13718-13726 - [c63]Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He:
KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification. AAAI 2021: 13924-13932 - [c62]Chengcheng Han, Zeqiu Fan, Dongxiang Zhang, Minghui Qiu, Ming Gao, Aoying Zhou:
Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification. ACL/IJCNLP (Findings) 2021: 1664-1673 - [c61]Taolin Zhang, Chengyu Wang, Minghui Qiu, Bite Yang, Zerui Cai, Xiaofeng He, Jun Huang:
Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources. ACL/IJCNLP (Findings) 2021: 2237-2249 - [c60]Haojie Pan, Chengyu Wang, Minghui Qiu, Yichang Zhang, Yaliang Li, Jun Huang:
Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains. ACL/IJCNLP (1) 2021: 3026-3036 - [c59]Taolin Zhang, Zerui Cai, Chengyu Wang, Minghui Qiu, Bite Yang, Xiaofeng He:
SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining. ACL/IJCNLP (1) 2021: 5882-5893 - [c58]Taolin Zhang, Zerui Cai, Chengyu Wang, Peng Li, Yang Li, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang:
HORNET: Enriching Pre-trained Language Representations with Heterogeneous Knowledge Sources. CIKM 2021: 2608-2617 - [c57]Haojie Pan, Cen Chen, Chengyu Wang, Minghui Qiu, Liu Yang, Feng Ji, Jun Huang:
Learning to Expand: Reinforced Response Expansion for Information-seeking Conversations. CIKM 2021: 4055-4064 - [c56]Minghui Qiu, Peng Li, Chengyu Wang, Haojie Pan, Ang Wang, Cen Chen, Xianyan Jia, Yaliang Li, Jun Huang, Deng Cai, Wei Lin:
EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. CIKM 2021: 4075-4084 - [c55]Mingchen Zhuge, Dehong Gao, Deng-Ping Fan, Linbo Jin, Ben Chen, Haoming Zhou, Minghui Qiu, Ling Shao:
Kaleido-BERT: Vision-Language Pre-Training on Fashion Domain. CVPR 2021: 12647-12657 - [c54]Cen Chen, Xinjing Huang, Feng Ji, Chengyu Wang, Minghui Qiu, Jun Huang, Yin Zhang:
CAT-BERT: A Context-Aware Transferable BERT Model for Multi-turn Machine Reading Comprehension. DASFAA (2) 2021: 152-167 - [c53]Zhi Li, Yuchen Zhai, Chengyu Wang, Minghui Qiu, Kailiang Li, Yin Zhang:
UnClE: Explicitly Leveraging Semantic Similarity to Reduce the Parameters of Word Embeddings. EMNLP (Findings) 2021: 1815-1828 - [c52]Chengyu Wang, Jianing Wang, Minghui Qiu, Jun Huang, Ming Gao:
TransPrompt: Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification. EMNLP (1) 2021: 2792-2802 - [c51]Chenhe Dong, Yaliang Li, Ying Shen, Minghui Qiu:
HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression. EMNLP (1) 2021: 3126-3136 - [c50]Chengyu Wang, Haojie Pan, Minghui Qiu, Jun Huang, Fei Yang, Yin Zhang:
Meta Distant Transfer Learning for Pre-trained Language Models. EMNLP (1) 2021: 9742-9752 - [c49]Lingyun Feng, Minghui Qiu, Yaliang Li, Haitao Zheng, Ying Shen:
Wasserstein Selective Transfer Learning for Cross-domain Text Mining. EMNLP (1) 2021: 9772-9783 - [c48]Boyu Hou, Junwei Dong, Liang Feng, Minghui Qiu:
Efficient Two-Stage Evolutionary Search of Convolutional Neural Architectures Based on Cell Independence Analysis. ICONIP (5) 2021: 599-607 - [c47]Chengyu Wang, Haojie Pan, Yuan Liu, Kehan Chen, Minghui Qiu, Wei Zhou, Jun Huang, Haiqing Chen, Wei Lin, Deng Cai:
MeLL: Large-scale Extensible User Intent Classification for Dialogue Systems with Meta Lifelong Learning. KDD 2021: 3649-3659 - [c46]Ziyun Xu, Chengyu Wang, Peng Li, Yang Li, Ming Wang, Boyu Hou, Minghui Qiu, Chengguang Tang, Jun Huang:
When Few-Shot Learning Meets Large-Scale Knowledge-Enhanced Pre-training: Alibaba at FewCLUE. NLPCC (2) 2021: 422-433 - [c45]Cen Chen, Chengyu Wang, Minghui Qiu, Dehong Gao, Linbo Jin, Wang Li:
Cross-domain Knowledge Distillation for Retrieval-based Question Answering Systems. WWW 2021: 2613-2623 - [i35]Lingyun Feng, Minghui Qiu, Yaliang Li, Hai-Tao Zheng, Ying Shen:
Learning to Augment for Data-Scarce Domain BERT Knowledge Distillation. CoRR abs/2101.08106 (2021) - [i34]Mingchen Zhuge, Dehong Gao, Deng-Ping Fan, Linbo Jin, Ben Chen, Haoming Zhou, Minghui Qiu, Ling Shao:
Kaleido-BERT: Vision-Language Pre-training on Fashion Domain. CoRR abs/2103.16110 (2021) - [i33]Ziyang Wang, Wei Wei, Gao Cong, Xiao-Li Li, Xian-Ling Mao, Minghui Qiu:
Global Context Enhanced Graph Neural Networks for Session-based Recommendation. CoRR abs/2106.05081 (2021) - [i32]Chengcheng Han, Zeqiu Fan, Dongxiang Zhang, Minghui Qiu, Ming Gao, Aoying Zhou:
Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification. CoRR abs/2107.12262 (2021) - [i31]Taolin Zhang, Zerui Cai, Chengyu Wang, Minghui Qiu, Bite Yang, Xiaofeng He:
SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining. CoRR abs/2108.08983 (2021) - [i30]Chenhe Dong, Yaliang Li, Ying Shen, Minghui Qiu:
HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression. CoRR abs/2110.08551 (2021) - [i29]Taolin Zhang, Chengyu Wang, Nan Hu, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang:
DKPLM: Decomposable Knowledge-enhanced Pre-trained Language Model for Natural Language Understanding. CoRR abs/2112.01047 (2021) - 2020
- [c44]Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He:
Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining. EMNLP (1) 2020: 3094-3104 - [c43]Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou:
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. IJCAI 2020: 2463-2469 - [c42]Mengli Cheng, Minghui Qiu, Xing Shi, Jun Huang, Wei Lin:
One-shot Text Field labeling using Attention and Belief Propagation for Structure Information Extraction. ACM Multimedia 2020: 340-348 - [c41]Ziyang Wang, Wei Wei, Gao Cong, Xiao-Li Li, Xianling Mao, Minghui Qiu:
Global Context Enhanced Graph Neural Networks for Session-based Recommendation. SIGIR 2020: 169-178 - [c40]Chen Qu, Liu Yang, Cen Chen, Minghui Qiu, W. Bruce Croft, Mohit Iyyer:
Open-Retrieval Conversational Question Answering. SIGIR 2020: 539-548 - [c39]Dehong Gao, Linbo Jin, Ben Chen, Minghui Qiu, Peng Li, Yi Wei, Yi Hu, Hao Wang:
FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval. SIGIR 2020: 2251-2260 - [c38]Cen Chen, Ya-Lin Zhang, Minghui Qiu, Bingzhe Wu, Li Wang, Longfei Li, Jun Zhou:
Automatic Knowledge Fusion in Transferrable Networks for Semantic Text Matching. WWW (Companion Volume) 2020: 73-74 - [c37]Liu Yang, Minghui Qiu, Chen Qu, Cen Chen, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Haiqing Chen:
IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems. WWW 2020: 2592-2598 - [i28]Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou:
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. CoRR abs/2001.04246 (2020) - [i27]Liu Yang, Minghui Qiu, Chen Qu, Cen Chen, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Haiqing Chen:
IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems. CoRR abs/2002.00571 (2020) - [i26]Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He:
KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification. CoRR abs/2002.10903 (2020) - [i25]Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He:
Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining. CoRR abs/2003.13003 (2020) - [i24]Forrest Sheng Bao, Hebi Li, Ge Luo, Cen Chen, Yinfei Yang, Minghui Qiu:
End-to-end Semantics-based Summary Quality Assessment for Single-document Summarization. CoRR abs/2005.06377 (2020) - [i23]Dehong Gao, Linbo Jin, Ben Chen, Minghui Qiu, Peng Li, Yi Wei, Yi Hu, Hao Wang:
FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval. CoRR abs/2005.09801 (2020) - [i22]Chen Qu, Liu Yang, Cen Chen, Minghui Qiu, W. Bruce Croft, Mohit Iyyer:
Open-Retrieval Conversational Question Answering. CoRR abs/2005.11364 (2020) - [i21]Taolin Zhang, Chengyu Wang, Minghui Qiu, Bite Yang, Xiaofeng He, Jun Huang:
Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources. CoRR abs/2008.10327 (2020) - [i20]Cen Chen, Bingzhe Wu, Minghui Qiu, Li Wang, Jun Zhou:
A Comprehensive Analysis of Information Leakage in Deep Transfer Learning. CoRR abs/2009.01989 (2020) - [i19]Mengli Cheng, Minghui Qiu, Xing Shi, Jun Huang, Wei Lin:
One-shot Text Field Labeling using Attention and Belief Propagation for Structure Information Extraction. CoRR abs/2009.04153 (2020) - [i18]Minghui Qiu, Peng Li, Hanjie Pan, Chengyu Wang, Ang Wang, Cen Chen, Yaliang Li, Dehong Gao, Jun Huang, Yong Li, Jun Yang, Deng Cai, Wei Lin:
EasyTransfer - A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. CoRR abs/2011.09463 (2020) - [i17]Ziyang Wang, Wei Wei, Gao Cong, Xiao-Li Li, Xian-Ling Mao, Minghui Qiu, Shanshan Feng:
Exploring Global Information for Session-based Recommendation. CoRR abs/2011.10173 (2020) - [i16]Haojie Pan, Cen Chen, Minghui Qiu, Liu Yang, Feng Ji, Jun Huang, Haiqing Chen:
Learning to Expand: Reinforced Pseudo-relevance Feedback Selection for Information-seeking Conversations. CoRR abs/2011.12771 (2020) - [i15]Haojie Pan, Chengyu Wang, Minghui Qiu, Yichang Zhang, Yaliang Li, Jun Huang:
Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains. CoRR abs/2012.01266 (2020)
2010 – 2019
- 2019
- [j3]Tianhang Liu, Jianping Yin, Long Gao, Wei Chen, Minghui Qiu:
Consensus RNA secondary structure prediction using information of neighbouring columns and principal component analysis. Int. J. Comput. Sci. Eng. 19(3): 430-439 (2019) - [c36]Chen Qu, Liu Yang, W. Bruce Croft, Yongfeng Zhang, Johanne R. Trippas, Minghui Qiu:
User Intent Prediction in Information-seeking Conversations. CHIIR 2019: 25-33 - [c35]Liu Yang, Junjie Hu, Minghui Qiu, Chen Qu, Jianfeng Gao, W. Bruce Croft, Xiaodong Liu, Yelong Shen, Jingjing Liu:
A Hybrid Retrieval-Generation Neural Conversation Model. CIKM 2019: 1341-1350 - [c34]Chen Qu, Liu Yang, Minghui Qiu, Yongfeng Zhang, Cen Chen, W. Bruce Croft, Mohit Iyyer:
Attentive History Selection for Conversational Question Answering. CIKM 2019: 1391-1400 - [c33]Minghui Qiu, Bo Wang, Cen Chen, Xiaoyi Zeng, Jun Huang, Deng Cai, Jingren Zhou, Forrest Sheng Bao:
Cross-domain Attention Network with Wasserstein Regularizers for E-commerce Search. CIKM 2019: 2509-2515 - [c32]Bo Wang, Minghui Qiu, Xisen Wang, Yaliang Li, Yu Gong, Xiaoyi Zeng, Jun Huang, Bo Zheng, Deng Cai, Jingren Zhou:
A Minimax Game for Instance based Selective Transfer Learning. KDD 2019: 34-43 - [c31]Chen Qu, Liu Yang, Minghui Qiu, W. Bruce Croft, Yongfeng Zhang, Mohit Iyyer:
BERT with History Answer Embedding for Conversational Question Answering. SIGIR 2019: 1133-1136 - [c30]Fei Xiao, Zhen Wang, Haikuan Huang, Jun Huang, Xi Chen, Hongbo Deng, Minghui Qiu, Xiaoli Gong:
AliISA: Creating an Interactive Search Experience in E-commerce Platforms. SIGIR 2019: 1305-1308 - [c29]Chen Qu, Feng Ji, Minghui Qiu, Liu Yang, Zhiyu Min, Haiqing Chen, Jun Huang, W. Bruce Croft:
Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching. WSDM 2019: 699-707 - [c28]Cen Chen, Minghui Qiu, Yinfei Yang, Jun Zhou, Jun Huang, Xiaolong Li, Forrest Sheng Bao:
Multi-Domain Gated CNN for Review Helpfulness Prediction. WWW 2019: 2630-2636 - [i14]Chen Qu, Liu Yang, W. Bruce Croft, Yongfeng Zhang, Johanne R. Trippas, Minghui Qiu:
User Intent Prediction in Information-seeking Conversations. CoRR abs/1901.03489 (2019) - [i13]Lukasz Kidzinski, Carmichael F. Ong, Sharada Prasanna Mohanty, Jennifer L. Hicks, Sean F. Carroll, Bo Zhou, Hong-cheng Zeng, Fan Wang, Rongzhong Lian, Hao Tian, Wojciech Jaskowski, Garrett Andersen, Odd Rune Lykkebø, Nihat Engin Toklu, Pranav Shyam, Rupesh Kumar Srivastava, Sergey Kolesnikov, Oleksii Hrinchuk, Anton Pechenko, Mattias Ljungström, Zhen Wang, Xu Hu, Zehong Hu, Minghui Qiu, Jun Huang, Aleksei Shpilman, Ivan Sosin, Oleg Svidchenko, Aleksandra Malysheva, Daniel Kudenko, Lance Rane, Aditya Bhatt, Zhengfei Wang, Penghui Qi, Zeyang Yu, Peng Peng, Quan Yuan, Wenxin Li, Yunsheng Tian, Ruihan Yang, Pingchuan Ma, Shauharda Khadka, Somdeb Majumdar, Zach Dwiel, Yinyin Liu, Evren Tumer, Jeremy D. Watson, Marcel Salathé, Sergey Levine, Scott L. Delp:
Artificial Intelligence for Prosthetics - challenge solutions. CoRR abs/1902.02441 (2019) - [i12]Liu Yang, Junjie Hu, Minghui Qiu, Chen Qu, Jianfeng Gao, W. Bruce Croft, Xiaodong Liu, Yelong Shen, Jingjing Liu:
A Hybrid Retrieval-Generation Neural Conversation Model. CoRR abs/1904.09068 (2019) - [i11]Chen Qu, Liu Yang, Minghui Qiu, W. Bruce Croft, Yongfeng Zhang, Mohit Iyyer:
BERT with History Answer Embedding for Conversational Question Answering. CoRR abs/1905.05412 (2019) - [i10]Chen Qu, Liu Yang, Minghui Qiu, Yongfeng Zhang, Cen Chen, W. Bruce Croft, Mohit Iyyer:
Attentive History Selection for Conversational Question Answering. CoRR abs/1908.09456 (2019) - 2018
- [j2]Long Gao, Jianping Yin, En Zhu, Tianhang Liu, Wei Chen, Minghui Qiu:
Mechanical amelioration to improve hexapod robot speed. Int. J. Embed. Syst. 10(3): 217-224 (2018) - [c27]Minghui Qiu, Liu Yang, Feng Ji, Wei Zhou, Jun Huang, Haiqing Chen, W. Bruce Croft, Wei Lin:
Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce. ACL (2) 2018: 208-213 - [c26]Qiangpeng Yang, Mengli Cheng, Wenmeng Zhou, Yan Chen, Minghui Qiu, Wei Lin:
IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection. IJCAI 2018: 1071-1077 - [c25]Liu Yang, Minghui Qiu, Chen Qu, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Jun Huang, Haiqing Chen:
Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems. SIGIR 2018: 245-254 - [c24]Chen Qu, Liu Yang, W. Bruce Croft, Johanne R. Trippas, Yongfeng Zhang, Minghui Qiu:
Analyzing and Characterizing User Intent in Information-seeking Conversations. SIGIR 2018: 989-992 - [c23]Jianfei Yu, Minghui Qiu, Jing Jiang, Jun Huang, Shuangyong Song, Wei Chu, Haiqing Chen:
Modelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerce. WSDM 2018: 682-690 - [i9]Feng-Lin Li, Minghui Qiu, Haiqing Chen, Xiongwei Wang, Xing Gao, Jun Huang, Juwei Ren, Zhongzhou Zhao, Weipeng Zhao, Lei Wang, Guwei Jin, Wei Chu:
AliMe Assist: An Intelligent Assistant for Creating an Innovative E-commerce Experience. CoRR abs/1801.05032 (2018) - [i8]Chen Qu, Liu Yang, W. Bruce Croft, Johanne R. Trippas, Yongfeng Zhang, Minghui Qiu:
Analyzing and Characterizing User Intent in Information-seeking Conversations. CoRR abs/1804.08759 (2018) - [i7]Liu Yang, Minghui Qiu, Chen Qu, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Jun Huang, Haiqing Chen:
Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems. CoRR abs/1805.00188 (2018) - [i6]Qiangpeng Yang, Mengli Cheng, Wenmeng Zhou, Yan Chen, Minghui Qiu, Wei Lin, Wei Chu:
IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection. CoRR abs/1805.01167 (2018) - [i5]Minghui Qiu, Liu Yang, Feng Ji, Weipeng Zhao, Wei Zhou, Jun Huang, Haiqing Chen, W. Bruce Croft, Wei Lin:
Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce. CoRR abs/1806.05434 (2018) - [i4]Cen Chen, Minghui Qiu, Yinfei Yang, Jun Zhou, Jun Huang, Xiaolong Li, Forrest Sheng Bao:
Review Helpfulness Prediction with Embedding-Gated CNN. CoRR abs/1808.09896 (2018) - [i3]Chen Qu, Feng Ji, Minghui Qiu, Liu Yang, Zhiyu Min, Haiqing Chen, Jun Huang, W. Bruce Croft:
Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching. CoRR abs/1812.11561 (2018) - 2017
- [j1]Yang Li, Jing Jiang, Ting Liu, Minghui Qiu, Xiaofei Sun:
Personalized Microtopic Recommendation on Microblogs. ACM Trans. Intell. Syst. Technol. 8(6): 77:1-77:21 (2017) - [c22]Minghui Qiu, Feng-Lin Li, Siyu Wang, Xing Gao, Yan Chen, Weipeng Zhao, Haiqing Chen, Jun Huang, Wei Chu:
AliMe Chat: A Sequence to Sequence and Rerank based Chatbot Engine. ACL (2) 2017: 498-503 - [c21]Xu Hu, Jun Huang, Minghui Qiu:
A Communication Efficient Parallel DBSCAN Algorithm based on Parameter Server. CIKM 2017: 2107-2110 - [c20]Feng-Lin Li, Minghui Qiu, Haiqing Chen, Xiongwei Wang, Xing Gao, Jun Huang, Juwei Ren, Zhongzhou Zhao, Weipeng Zhao, Lei Wang, Guwei Jin, Wei Chu:
AliMe Assist : An Intelligent Assistant for Creating an Innovative E-commerce Experience. CIKM 2017: 2495-2498 - [c19]Yinfei Yang, Cen Chen, Minghui Qiu, Forrest Sheng Bao:
Aspect Extraction from Product Reviews Using Category Hierarchy Information. EACL (2) 2017: 675-680 - [c18]Minghui Qiu, Peilin Zhao, Ke Zhang, Jun Huang, Xing Shi, Xiaoguang Wang, Wei Chu:
A Short-Term Rainfall Prediction Model Using Multi-task Convolutional Neural Networks. ICDM 2017: 395-404 - [c17]Cen Chen, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li, Minghui Qiu:
Locally Connected Deep Learning Framework for Industrial-scale Recommender Systems. WWW (Companion Volume) 2017: 769-770 - [i2]Xu Hu, Jun Huang, Minghui Qiu, Cen Chen, Wei Chu:
PS-DBSCAN: An Efficient Parallel DBSCAN Algorithm Based on Platform Of AI (PAI). CoRR abs/1711.01034 (2017) - [i1]Jianfei Yu, Minghui Qiu, Jing Jiang, Jun Huang, Shuangyong Song, Wei Chu, Haiqing Chen:
Modelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerce. CoRR abs/1711.08726 (2017) - 2016
- [c16]Guangming Guo, Feida Zhu, Enhong Chen, Le Wu, Qi Liu, Yingling Liu, Minghui Qiu:
Personal Credit Profiling via Latent User Behavior Dimensions on Social Media. PAKDD (2) 2016: 130-142 - 2015
- [c15]Yinfei Yang, Yaowei Yan, Minghui Qiu, Forrest Sheng Bao:
Semantic Analysis and Helpfulness Prediction of Text for Online Product Reviews. ACL (2) 2015: 38-44 - [c14]Fenglong Ma, Yaliang Li, Qi Li, Minghui Qiu, Jing Gao, Shi Zhi, Lu Su, Bo Zhao, Heng Ji, Jiawei Han:
FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation. KDD 2015: 745-754 - [c13]Minghui Qiu, Yanchuan Sim, Noah A. Smith, Jing Jiang:
Modeling User Arguments, Interactions, and Attributes for Stance Prediction in Online Debate Forums. SDM 2015: 855-863 - 2014
- [c12]Liu Yang, Jing Jiang, Lifu Huang, Minghui Qiu, Lizi Liao:
Generating Supplementary Travel Guides from Social Media. COLING 2014: 1670-1681 - [c11]Qiming Diao, Minghui Qiu, Chao-Yuan Wu, Alexander J. Smola, Jing Jiang, Chong Wang:
Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS). KDD 2014: 193-202 - [c10]Swapna Gottipati, Minghui Qiu, Liu Yang, Feida Zhu, Jing Jiang:
An Integrated Model for User Attribute Discovery: A Case Study on Political Affiliation Identification. PAKDD (1) 2014: 434-446 - [c9]Wei Dong, Minghui Qiu, Feida Zhu:
Who am I on twitter?: a cross-country comparison. WWW (Companion Volume) 2014: 253-254 - 2013
- [c8]Liu Yang, Minghui Qiu, Swapna Gottipati, Feida Zhu, Jing Jiang, Huiping Sun, Zhong Chen:
CQArank: jointly model topics and expertise in community question answering. CIKM 2013: 99-108 - [c7]Minghui Qiu, Liu Yang, Jing Jiang:
Modeling interaction features for debate side clustering. CIKM 2013: 873-878 - [c6]Swapna Gottipati, Minghui Qiu, Yanchuan Sim, Jing Jiang, Noah A. Smith:
Learning Topics and Positions from Debatepedia. EMNLP 2013: 1858-1868 - [c5]Minghui Qiu, Liu Yang, Jing Jiang:
Mining User Relations from Online Discussions using Sentiment Analysis and Probabilistic Matrix Factorization. HLT-NAACL 2013: 401-410 - [c4]Minghui Qiu, Jing Jiang:
A Latent Variable Model for Viewpoint Discovery from Threaded Forum Posts. HLT-NAACL 2013: 1031-1040 - [c3]Jing Jiang, Minghui Qiu, Feida Zhu:
It Is Not Just What We Say, But How We Say Them: LDA-based Behavior-Topic Model. SDM 2013: 794-802 - [c2]Swapna Gottipati, Minghui Qiu, Liu Yang, Feida Zhu, Jing Jiang:
Predicting User's Political Party Using Ideological Stances. SocInfo 2013: 177-191 - 2012
- [c1]Minghui Qiu, Yaliang Li, Jing Jiang:
Query-Oriented Keyphrase Extraction. AIRS 2012: 64-75
Coauthor Index
[c78] [c77] [c76] [j4] [c75] [c74] [c73] [c71] [c70] [c68] [i42] [i40] [i39] [i36] [c64] [c63] [c61] [c60] [c58] [c57] [c56] [c54] [c52] [c50] [c47] [c46] [i29] [c44] [c43] [c42] [i28] [i26] [i25] [i21] [i19] [i18] [i16] [i15] [c33] [c32] [c30] [c29] [c28] [i13] [c27] [c25] [c23] [i9] [i7] [i5] [i4] [i3] [c22] [c21] [c20] [c18] [i2] [i1]
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