Minghui Qiu

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 126

Top Venues

Publications

Minghui Qiu, Yandao Huang, Lin Chen, Lu Wang, Kaishun Wu
CODA: A COst-efficient Test-time Domain Adaptation Mechanism for HAR. CoRR (2024)
Zejun Li, Ruipu Luo, Jiwen Zhang, Minghui Qiu, Zhongyu Wei
VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models. CoRR (2024)
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) (2024)
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 (2024)
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)
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 (2024)
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) (2024)
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)
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 (2023)
Yulin Su, Min Yang, Minghui Qiu, Jing Wang, Tao Wang
FashionLOGO: Prompting Multimodal Large Language Models for Fashion Logo Embeddings. CoRR (2023)
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)
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)
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)
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)
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)
Chengcheng Han, Yuhe Wang, Yingnan Fu, Xiang Li, Minghui Qiu, Ming Gao, Aoying Zhou
Meta-Learning Siamese Network for Few-Shot Text Classification. CoRR (2023)
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) (2023)
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) (2023)
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 (2023)
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) (2023)
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)
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 (2022)
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)
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)
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 (2022)
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)
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 (2022)
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)
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)
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)
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)
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)
Chengyu Wang, Minghui Qiu, Jun Huang
Building Natural Language Processing Applications with EasyNLP. CIKM (2022)
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 (2022)
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 (2022)
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 (2022)
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 (2022)
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 (2022)
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 (2021)
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)
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 (2021)
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)
Lingyun Feng, Minghui Qiu, Yaliang Li, Hai-Tao Zheng, Ying Shen
Learning to Augment for Data-scarce Domain BERT Knowledge Distillation. AAAI (2021)
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)
Chengcheng Han, Zeqiu Fan, Dongxiang Zhang, Minghui Qiu, Ming Gao, Aoying Zhou
Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification. CoRR (2021)
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)
Chengyu Wang, Haojie Pan, Minghui Qiu, Jun Huang, Fei Yang, Yin Zhang
Meta Distant Transfer Learning for Pre-trained Language Models. EMNLP (1) (2021)
Lingyun Feng, Minghui Qiu, Yaliang Li, Haitao Zheng, Ying Shen
Wasserstein Selective Transfer Learning for Cross-domain Text Mining. EMNLP (1) (2021)
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 (2021)
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)
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)
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)
Lingyun Feng, Minghui Qiu, Yaliang Li, Hai-Tao Zheng, Ying Shen
Learning to Augment for Data-Scarce Domain BERT Knowledge Distillation. CoRR (2021)
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)
Chenhe Dong, Yaliang Li, Ying Shen, Minghui Qiu
HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression. EMNLP (1) (2021)
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)
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)
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 (2021)
Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He
KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification. AAAI (2021)
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)
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)
Cen Chen, Chengyu Wang, Minghui Qiu, Dehong Gao, Linbo Jin, Wang Li
Cross-domain Knowledge Distillation for Retrieval-based Question Answering Systems. WWW (2021)
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)
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)
Chenhe Dong, Yaliang Li, Ying Shen, Minghui Qiu
HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression. CoRR (2021)
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)
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)
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 (2020)
Cen Chen, Bingzhe Wu, Minghui Qiu, Li Wang, Jun Zhou
A Comprehensive Analysis of Information Leakage in Deep Transfer Learning. CoRR (2020)
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 (2020)
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 (2020)
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)
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)
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)
Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He
Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining. EMNLP (1) (2020)
Ziyang Wang, Wei Wei, Gao Cong, Xiao-Li Li, Xian-Ling Mao, Minghui Qiu, Shanshan Feng
Exploring Global Information for Session-based Recommendation. CoRR (2020)
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 (2020)
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 (2020)
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)
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 (2020)
Chen Qu, Liu Yang, Cen Chen, Minghui Qiu, W. Bruce Croft, Mohit Iyyer
Open-Retrieval Conversational Question Answering. SIGIR (2020)
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 (2020)
Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He
KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification. CoRR (2020)
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 (2020)
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)
Chen Qu, Liu Yang, Cen Chen, Minghui Qiu, W. Bruce Croft, Mohit Iyyer
Open-Retrieval Conversational Question Answering. CoRR (2020)
Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He
Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining. CoRR (2020)
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 (2020)
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)
Chen Qu, Liu Yang, Minghui Qiu, Yongfeng Zhang, Cen Chen, W. Bruce Croft, Mohit Iyyer
Attentive History Selection for Conversational Question Answering. CIKM (2019)
Chen Qu, Liu Yang, W. Bruce Croft, Yongfeng Zhang, Johanne R. Trippas, Minghui Qiu
User Intent Prediction in Information-seeking Conversations. CoRR (2019)
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 (2019)
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)
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)
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)
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 (2019)
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)
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)
Chen Qu, Liu Yang, Minghui Qiu, Yongfeng Zhang, Cen Chen, W. Bruce Croft, Mohit Iyyer
Attentive History Selection for Conversational Question Answering. CoRR (2019)
Chen Qu, Liu Yang, W. Bruce Croft, Yongfeng Zhang, Johanne R. Trippas, Minghui Qiu
User Intent Prediction in Information-seeking Conversations. CHIIR (2019)

Minghui Qiu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Minghui Qiu