Mengwen Liu

28 papers A* 2A 2B 1Misc 2Journal 9Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
A multi-domain constraint learning system inspired by adaptive cognitive graphs for emotion recognition.
Neural Networks
Dongrui Gao, Mengwen Liu, Haokai Zhang, Manqing Wang, Hongli Chang, Gaoxiang Ouyang, Shihong Liu, Pengrui Li
2024 J jnl
An enhanced network model for PCB defect detection: CDS-YOLO.
J. Real Time Image Process.
Mingrui Shao, Long Min, Mengwen Liu, Xuelin Li, Jingjing Liu, Xiaozhou Li
2024 — conf
REFINESUMM: Self-Refining MLLM for Generating a Multimodal Summarization Dataset.
ACL (1)
Vaidehi Patil, Leonardo F. R. Ribeiro, Mengwen Liu, Mohit Bansal, Markus Dreyer
2023 — conf
Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive Summarization.
EACL (Findings)
Markus Dreyer, Mengwen Liu, Feng Nan, Sandeep Atluri, Sujith Ravi
2023 A conf
Faithfulness-Aware Decoding Strategies for Abstractive Summarization.
EACL
David Wan, Mengwen Liu, Kathleen R. McKeown, Markus Dreyer, Mohit Bansal
2023 J jnl
Faithfulness-Aware Decoding Strategies for Abstractive Summarization.
CoRR
David Wan, Mengwen Liu, Kathleen R. McKeown, Markus Dreyer, Mohit Bansal
2022 — conf
FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations.
NAACL-HLT
Leonardo F. R. Ribeiro, Mengwen Liu, Iryna Gurevych, Markus Dreyer, Mohit Bansal
2022 J jnl
FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations.
CoRR
Leonardo F. R. Ribeiro, Mengwen Liu, Iryna Gurevych, Markus Dreyer, Mohit Bansal
2021 J jnl
Analyzing the Abstractiveness-Factuality Tradeoff With Nonlinear Abstractiveness Constraints.
CoRR
Markus Dreyer, Mengwen Liu, Feng Nan, Sandeep Atluri, Sujith Ravi
2021 — conf
Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters.
NAACL-HLT
Ramakanth Pasunuru, Mengwen Liu, Mohit Bansal, Sujith Ravi, Markus Dreyer
2021 J jnl
Transductive Learning for Abstractive News Summarization.
CoRR
Arthur Brazinskas, Mengwen Liu, Ramesh Nallapati, Sujith Ravi, Markus Dreyer
2019 J jnl
Multi-Task Networks With Universe, Group, and Task Feature Learning.
CoRR
Shiva Pentyala, Mengwen Liu, Markus Dreyer
2019 — conf
Multi-Task Networks with Universe, Group, and Task Feature Learning.
ACL (1)
Shiva Pentyala, Mengwen Liu, Markus Dreyer
2018 — conf
A New TV World for Kids - When ZUI Meets Deep Learning.
MIPR
Haohong Wang, Yaoyuan Fu, Yang Li, Guanghan Ning, Zhihai He, Mengwen Liu
2017 — conf
Bacterial named entity recognition based on dictionary and conditional random field.
BIBM
Xiaoyan Wang, Xingpeng Jiang, Mengwen Liu, Tingting He, Xiaohua Hu
2017 B conf
Integrating extra knowledge into word embedding models for biomedical NLP tasks.
IJCNN
Yuan Ling, Yuan An, Mengwen Liu, Sadid A. Hasan, Ye-tian Fan, Xiaohua Hu
2017 J jnl
Product review summarization through question retrieval and diversification.
Inf. Retr. J.
Mengwen Liu, Yi Fang, Alexander G. Choulos, Dae Hoon Park, Xiaohua Hu
2017 J jnl
Which used product is more sellable? A time-aware approach.
Inf. Retr. J.
Mengwen Liu, Wanying Ding, Dae Hoon Park, Yi Fang, Rui Yan, Xiaohua Hu
2016 Misc conf
A Unified Energy-based Framework for Learning to Rank.
ICTIR
Yi Fang, Mengwen Liu
2016 A conf
Mobile App Retrieval for Social Media Users via Inference of Implicit Intent in Social Media Text.
CIKM
Dae Hoon Park, Yi Fang, Mengwen Liu, ChengXiang Zhai
2016 A* conf
Retrieving Non-Redundant Questions to Summarize a Product Review.
SIGIR
Mengwen Liu, Yi Fang, Dae Hoon Park, Xiaohua Hu, Zhengtao Yu
2015 A* conf
Leveraging User Reviews to Improve Accuracy for Mobile App Retrieval.
SIGIR
Dae Hoon Park, Mengwen Liu, ChengXiang Zhai, Haohong Wang
2015 Misc conf
Scalable user intent mining using a multimodal Restricted Boltzmann Machine.
ICNC
Yue Shang, Wanying Ding, Mengwen Liu, Xiaoli Song, Tony Hu, Yuan An, Haohong Wang, Lifan Guo
2015 — conf
Tackling Sparsity, the Achilles Heel of Social Networks: Language Model Smoothing via Social Regularization.
ACL (2)
Rui Yan, Xiang Li, Mengwen Liu, Xiaohua Hu
2014 — conf
Pairwise Topic Model via relation extraction.
IEEE BigData
Xiaoli Song, Yue Shang, Yuan Ling, Mengwen Liu, Xiaohua Hu
2014 — conf
Relation extraction from biomedical literature with minimal supervision and grouping strategy.
BIBM
Mengwen Liu, Yuan Ling, Yuan An, Xiaohua Hu
2013 — conf
An error detecting and tagging framework for reducing data entry errors in electronic medical records (EMR) system.
BIBM
Yuan Ling, Yuan An, Mengwen Liu, Xiaohua Hu
2013 — conf
An evaluation of identification of suspected autism spectrum disorder (ASD) cases in early intervention (EI) records.
BIBM
Mengwen Liu, Yuan An, Xiaohua Hu, Debra Langer, Craig Newschaffer, Lindsay Shea