A Hybrid Model Based on K-EPF and DPIO for UAVs Target Detection. - Jinsong Chen; Lu Xiao 007; Jun Wang 121; Huan Liu; Qianying Liu (BIC-TA (2), 2018)

HCO-Based RFID Network Planning. - Jun Wang 121; Jinsong Chen; Qianying Liu; Jia Liu (BIC-TA (2), 2018)

Scientific Keyphrase Extraction: Extracting Candidates with Semi-supervised Data Augmentation. - Qianying Liu; Daisuke Kawahara; Sujian Li (CCL, 2018)

An Improved Coarse-to-Fine Method for Solving Generation Tasks. - Wenyv Guan; Qianying Liu; Guangzhi Han; Bin Wang 004; Sujian Li (ALTA, 2019)

Nurse scheduling problem based on hydrologic cycle optimization. - Qianying Liu; Ben Niu 002; Jun Wang 121; Hong Wang 016; Li Li 004 (CEC, 2019)

Tree-structured Decoding for Solving Math Word Problems. - Qianying Liu; Wenyv Guan; Sujian Li; Daisuke Kawahara (EMNLP/IJCNLP (1), 2019)

Bacterial Foraging Optimization with Memory and Clone Schemes for Dynamic Environments. - Ben Niu 002; Qianying Liu; Jun Wang 121 (ICSI (1), 2019)

CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning. - Daojian Zeng; Haoran Zhang 004; Qianying Liu (AAAI, 2020)

LiveQA: A Question Answering Dataset Over Sports Live. - Qianying Liu; Sicong Jiang; Yizhong Wang; Sujian Li (CNCL, 2020)

Refining Data for Text Generation. - Qianying Liu; Tianyi Li; Wenyu Guan; Sujian Li (CNCL, 2020)

A System for Worldwide COVID-19 Information Aggregation. - Akiko Aizawa; Frédéric Bergéron; Junjie Chen; Fei Cheng 002; Katsuhiko Hayashi 001; Kentaro Inui; Hiroyoshi Ito; Daisuke Kawahara; Masaru Kitsuregawa; Hirokazu Kiyomaru; Masaki Kobayashi; Takashi Kodama; et al. (NLP4COVID@EMNLP, 2020)

Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation Extraction. - Ranran Haoran Zhang; Qianying Liu; Aysa Xuemo Fan; Heng Ji 001; Daojian Zeng; Fei Cheng 002; Daisuke Kawahara; Sadao Kurohashi (EMNLP (Findings), 2020)

Reverse Operation based Data Augmentation for Solving Math Word Problems. - Qianying Liu; Wenyu Guan; Sujian Li; Fei Cheng 002; Daisuke Kawahara; Sadao Kurohashi (CoRR, 2020)

Boosted EfficientNet: Detection of Lymph Node Metastases in Breast Cancer Using Convolutional Neural Network. - Jun Wang 121; Qianying Liu; Haotian Xie; Zhaogang Yang; Hefeng Zhou (CoRR, 2020)

Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language Understanding. - Qianying Liu; Fei Cheng 002; Sadao Kurohashi (CoRR, 2021)

Hydrological cycling optimization-based multiobjective feature-selection method for customer segmentation. - Xi Song; Matthew Tingchi Liu; Qianying Liu; Ben Niu 002 (Int. J. Intell. Syst., 2021)

Multi-objective bacterial colony optimization algorithm for integrated container terminal scheduling problem. - Ben Niu 002; Qianying Liu; Zhengxu Wang; Lijing Tan; Li Li 004 (Nat. Comput., 2021)

Fully Automatic Classification of Cardiotocographic Signals with 1D-CNN and Bi-directional GRU. - Huanwen Liang; Yu Lu 001; Qianying Liu; Xianghua Fu (EMBC, 2022)

Textual Enhanced Contrastive Learning for Solving Math Word Problems. - Yibin Shen; Qianying Liu; Zhuoyuan Mao; Fei Cheng 002; Sadao Kurohashi (EMNLP (Findings), 2022)

Rescue Implicit and Long-tail Cases: Nearest Neighbor Relation Extraction. - Zhen Wan; Qianying Liu; Zhuoyuan Mao; Fei Cheng 002; Sadao Kurohashi; Jiwei Li 001 (EMNLP, 2022)

Optimizing Facial Expressions of an Android Robot Effectively: a Bayesian Optimization Approach. - Dongsheng Yang 009; Wataru Sato; Qianying Liu; Takashi Minato; Shushi Namba; Shin'ya Nishida (Humanoids, 2022)

An End-to-End Chinese and Japanese Bilingual Speech Recognition Systems with Shared Character Decomposition. - Sheng Li 010; Jiyi Li; Qianying Liu; Zhuo Gong (ICONIP (6), 2022)

Seeking Diverse Reasoning Logic: Controlled Equation Expression Generation for Solving Math Word Problems. - Yibin Shen; Qianying Liu; Zhuoyuan Mao; Zhen Wan; Fei Cheng 002; Sadao Kurohashi (AACL/IJCNLP (2), 2022)

Adversarial Speech Generation and Natural Speech Recovery for Speech Content Protection. - Sheng Li 010; Jiyi Li; Qianying Liu; Zhuo Gong (LREC, 2022)

Multi-objective Hydrologic Cycle Optimization for Integrated Container Terminal Scheduling Problem. - Ben Niu 002; Yuda Wang; Jia Liu; Qianying Liu (ML4CS (1), 2022)

Hierarchical Softmax for End-to-End Low-resource Multilingual Speech Recognition. - Qianying Liu; Yuhang Yang; Zhuo Gong; Sheng Li 010; Chenchen Ding; Nobuaki Minematsu; Hao Huang 009; Fei Cheng 002; Sadao Kurohashi (CoRR, 2022)

RODA: Reverse Operation Based Data Augmentation for Solving Math Word Problems. - Qianying Liu; Wenyu Guan; Sujian Li; Fei Cheng 002; Daisuke Kawahara; Sadao Kurohashi (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

General parameter control framework for evolutionary computation. - Qianying Liu; Haiyun Qiu; Ben Niu 002; Hong Wang 016 (Int. J. Intell. Syst., 2022)

Exploring the Impact of Layer Normalization for Zero-shot Neural Machine Translation. - Zhuoyuan Mao; Raj Dabre; Qianying Liu; Haiyue Song; Chenhui Chu; Sadao Kurohashi (ACL (2), 2023)

Multi-Scale Cross Contrastive Learning for Semi-Supervised Medical Image Segmentation. - Qianying Liu; Xiao Gu 003; Paul Henderson; Fani Deligianni (BMVC, 2023)

ComSearch: Equation Searching with Combinatorial Strategy for Solving Math Word Problems with Weak Supervision. - Qianying Liu; Wenyu Guan; Jianhao Shen; Fei Cheng 002; Sadao Kurohashi (EACL, 2023)

Relation Extraction with Weighted Contrastive Pre-training on Distant Supervision. - Zhen Wan; Fei Cheng 002; Qianying Liu; Zhuoyuan Mao; Haiyue Song; Sadao Kurohashi (EACL (Findings), 2023)

GPT-RE: In-context Learning for Relation Extraction using Large Language Models. - Zhen Wan; Fei Cheng 002; Zhuoyuan Mao; Qianying Liu; Haiyue Song; Jiwei Li 001; Sadao Kurohashi (EMNLP, 2023)

Hierarchical Softmax for End-To-End Low-Resource Multilingual Speech Recognition. - Qianying Liu; Zhuo Gong; Zhengdong Yang; Yuhang Yang; Sheng Li 010; Chenchen Ding; Nobuaki Minematsu; Hao Huang 009; Fei Cheng 002; Chenhui Chu; Sadao Kurohashi (ICASSP, 2023)

Optimizing Vision Transformers for Medical Image Segmentation. - Qianying Liu; Chaitanya Kaul; Jun Wang 121; Christos Anagnostopoulos 001; Roderick Murray-Smith; Fani Deligianni (ICASSP, 2023)

Comprehensive Solution Program Centric Pretraining for Table-and-Text Hybrid Numerical Reasoning. - Qianying Liu; Dongsheng Yang 009; Wenjie Zhong; Fei Cheng 002; Sadao Kurohashi (CoRR, 2023)

Shall We Team Up: Exploring Spontaneous Cooperation of Competing LLM Agents. - Zengqing Wu; Run Peng; Shuyuan Zheng; Qianying Liu; Xu Han; Brian Inhyuk Kwon; Makoto Onizuka; Shaojie Tang 001; Chuan Xiao 001 (EMNLP (Findings), 2024)

LAGNet: Label Attention Graph Networks for Ocular Disease Classification Using Fundus Images. - Huanwen Liang; Leya Li; Yu Lu 001; Qianying Liu; Huilin Ge; Xianghua Fu (ISBI, 2024)

Glfnet: Global-Local (Frequency) Filter Networks for Efficient Medical Image Segmentation. - Athanasios Tragakis; Qianying Liu; Chaitanya Kaul; Swalpa Kumar Roy; Hang Dai; Fani Deligianni; Roderick Murray-Smith; Daniele Faccio (ISBI, 2024)

Shall We Talk: Exploring Spontaneous Collaborations of Competing LLM Agents. - Zengqing Wu; Shuyuan Zheng; Qianying Liu; Xu Han; Brian Inhyuk Kwon; Makoto Onizuka; Shaojie Tang 001; Run Peng; Chuan Xiao 001 (CoRR, 2024)

Beyond English-Centric LLMs: What Language Do Multilingual Language Models Think in? - Chengzhi Zhong; Fei Cheng 002; Qianying Liu; Junfeng Jiang; Zhen Wan; Chenhui Chu; Yugo Murawaki; Sadao Kurohashi (CoRR, 2024)

Developing Cryptocurrency Trading Strategy Based on Autoencoder-CNN-GANs Algorithms. - Zhuohuan Hu; Richard Yu; Zizhou Zhang; Haoran Zheng; Qianying Liu; Yining Zhou (CoRR, 2024)

7 Points to Tsinghua but 10 Points to ? Assessing Large Language Models in Agentic Multilingual National Bias. - Qianying Liu; Katrina Qiyao Wang; Fei Cheng 002; Sadao Kurohashi (ACL (Findings), 2025)

What Language Do Non-English-Centric Large Language Models Think in? - Chengzhi Zhong; Qianying Liu; Fei Cheng 002; Junfeng Jiang; Zhen Wan; Chenhui Chu; Yugo Murawaki; Sadao Kurohashi (ACL (Findings), 2025)

Learning Semi-Supervised Medical Image Segmentation from Spatial Registration. - Qianying Liu; Paul Henderson; Xiao Gu 003; Hang Dai; Fani Deligianni (WACV, 2025)

Credit Risk Identification in Supply Chains Using Generative Adversarial Networks. - Zizhou Zhang; Xinshi Li; Yu Cheng; Zhenrui Chen; Qianying Liu (CoRR, 2025)

Cross-lingual Embedding Clustering for Hierarchical Softmax in Low-Resource Multilingual Speech Recognition. - Zhengdong Yang; Qianying Liu; Sheng Li 010; Fei Cheng 002; Chenhui Chu (CoRR, 2025)

Assessing Large Language Models in Agentic Multilingual National Bias. - Qianying Liu; Katrina Qiyao Wang; Fei Cheng 002; Sadao Kurohashi (CoRR, 2025)

HAPI: A Model for Learning Robot Facial Expressions from Human Preferences. - Dongsheng Yang 009; Qianying Liu; Wataru Sato; Takashi Minato; Chaoran Liu; Shin'ya Nishida (CoRR, 2025)

Beyond Chains: Bridging Large Language Models and Knowledge Bases in Complex Question Answering. - Yihua Zhu; Qianying Liu; Akiko Aizawa; Hidetoshi Shimodaira (CoRR, 2025)

BIS Reasoning 1.0: The First Large-Scale Japanese Benchmark for Belief-Inconsistent Syllogistic Reasoning. - Ha-Thanh Nguyen; Chaoran Liu; Qianying Liu; Hideyuki Tachibana; Su Myat Noe; Yusuke Miyao; Koichi Takeda 003; Sadao Kurohashi (CoRR, 2025)

Credit Risk Analysis for SMEs Using Graph Neural Networks in Supply Chain. - Zizhou Zhang; Qinyan Shen; Zhuohuan Hu; Qianying Liu; Huijie Shen (CoRR, 2025)

Certainty-Guided Cross Contrastive Learning for Semi-Supervised Medical Image Segmentation. - Qianying Liu; Xiao Gu 003; Paul Henderson; Hang Dai; Fani Deligianni (IEEE Trans. Biomed. Eng., 2025)