MapReduce-based computation of area skyline query for selecting good locations in a map. - Chen Li 027; Annisa; Asif Zaman; Yasuhiko Morimoto (IEEE BigData, 2017)

Hybrid Sensing and Wearable Smart Device for Health Monitoring and Medication: Opportunities and Challenges. - Mahboob Qaosar; Saleh Ahmed; Chen Li 027; Yasuhiko Morimoto (AAAI Spring Symposia, 2018)

Capturing Temporal Dynamics of Users' Preferences from Purchase History Big Data for Recommendation System. - Chen Li 027; Minjia He; Mahboob Qaosar; Saleh Ahmed; Yasuhiko Morimoto (IEEE BigData, 2018)

MapReduce Algorithm for Location Recommendation by Using Area Skyline Query. - Chen Li 027; Annisa; Asif Zaman; Mahboob Qaosar; Saleh Ahmed; Yasuhiko Morimoto (Algorithms, 2018)

Privacy-preserving Top-k Dominating Queries in Distributed Multi-party Databases. - Mahboob Qaosar; Kazi Md. Rokibul Alam; Chen Li 027; Yasuhiko Morimoto (IEEE BigData, 2019)

Multi-factor Based Stock Price Prediction Using Hybrid Neural Networks with Attention Mechanism. - Chen Li 027; Xu Zhang; Mahboob Qaosar; Saleh Ahmed; Kazi Md. Rokibul Alam; Yasuhiko Morimoto (DASC/PiCom/DataCom/CyberSciTech, 2019)

Parameter Estimation of $M_{t}/M/1/K$ Queueing Systems With Utilization Data. - Chen Li 027; Hiroyuki Okamura; Tadashi Dohi (IEEE Access, 2019)

A Framework for Privacy-Preserving Multi-Party Skyline Query Based on Homomorphic Encryption. - Mahboob Qaosar; Kazi Md. Rokibul Alam; Asif Zaman; Chen Li 027; Saleh Ahmed; Mohammad Anisuzzaman Siddique; Yasuhiko Morimoto (IEEE Access, 2019)

Privacy-Aware MapReduce Based Multi-Party Secure Skyline Computation. - Saleh Ahmed; Mahboob Qaosar; Asif Zaman; Mohammad Anisuzzaman Siddique; Chen Li 027; Kazi Md. Rokibul Alam; Yasuhiko Morimoto (Inf., 2019)

Secure k-skyband computation framework in distributed multi-party databases. - Mahboob Qaosar; Asif Zaman; Md. Anisuzzaman Siddique; Chen Li 027; Yasuhiko Morimoto (Inf. Sci., 2020)

Automatic Sleep Staging via Frequency-Wise Spiking Neural Networks. - Haohui Jia; Ziwei Yang 002; Pei Gao; Man Wu; Chen Li 027; Yirong Kan; Renyuan Zhang (BIBM, 2022)

Hierarchical Categorical Generative Modeling for Multi-omics Cancer Subtyping. - Ziwei Yang 002; Lingwei Zhu; Chen Li 027; Zheng Chen 012; Naoki Ono; Md. Altaf-Ul-Amin; Shigehiko Kanaya (BIBM, 2022)

An Efficient Transformer Encoder-Based Classification of Malware Using API Calls. - Chen Li 027; Zheng Chen 012; Junjun Zheng (HPCC/DSS/SmartCity/DependSys, 2022)

Exploring the Feasibility of Transformer Based Models on Question Relatedness. - Honglin Shu; Pei Gao; Ziwei Yang 002; Chen Li 027; Man Wu (HPCC/DSS/SmartCity/DependSys, 2022)

Matching Using Sufficient Dimension Reduction for Heterogeneity Causal Effect Estimation. - Haoran Zhao; Yinghao Zhang; Debo Cheng; Chen Li 027; Zaiwen Feng (HPCC/DSS/SmartCity/DependSys, 2022)

Transformer-based Objective-reinforced Generative Adversarial Network to Generate Desired Molecules. - Chen Li 027; Chikashige Yamanaka; Kazuma Kaitoh; Yoshihiro Yamanishi (IJCAI, 2022)

Parameter Estimation of Markovian Arrivals with Utilization Data. - Chen Li 027; Junjun Zheng; Hiroyuki Okamura; Tadashi Dohi (IEICE Trans. Commun., 2022)

Hierarchical Bayesian Parameter Estimation of Queueing Systems using Utilization Data. - Chen Li 027; Junjun Zheng; Hiroyuki Okamura; Tadashi Dohi (Int. J. Perform. Eng., 2022)

A Visual Interpretation-Based Self-improved Classification System Using Virtual Adversarial Training. - Shuai Jiang; Sayaka Kamei; Chen Li 027; Shengzhe Hou; Yasuhiko Morimoto (ADMA (4), 2023)

Semi-supervised Classification Based on Graph Convolution Encoder Representations from BERT. - Jinli Zhang; Zongli Jiang; Chen Li 027; Zhenbo Wang (ADMA (3), 2023)

MacGAN: A Moment-Actor-Critic Reinforcement Learning-Based Generative Adversarial Network for Molecular Generation. - Huidong Tang; Chen Li 027; Shuai Jiang; Huachong Yu; Sayaka Kamei; Yoshihiro Yamanishi; Yasuhiko Morimoto (APWeb-WAIM (1), 2023)

Mode Collapse Alleviation of Reinforcement Learning-based GANs in Drug Design. - Zongli Jiang; Zhenbo Wang; Jinli Zhang; Man Wu; Chen Li 027; Yoshihiro Yamanishi (BIBM, 2023)

Causal Intervention for Measuring Confidence in Drug-Target Interaction Prediction. - Wenting Ye; Chen Li 027; Yang Xie; Wen Zhang 008; Hong-Yu Zhang; Bowen Wang; Debo Cheng; Zaiwen Feng (BIBM, 2023)

Senti-EGCN: An Aspect-Based Sentiment Analysis System Using Edge-Enhanced Graph Convolutional Networks. - Chen Li 027; Junjun Zheng; Peng Ju; Yasuhiko Morimoto (DSA, 2023)

A Session Recommendation Model Based on Heterogeneous Graph Neural Network. - Zhiwei An; Yirui Tan; Jinli Zhang; Zongli Jiang; Chen Li 027 (KSEM (3), 2023)

An Enhanced Distributed Algorithm for Area Skyline Computation Based on Apache Spark. - Chen Li 027; Yang Cao 019; Ye Zhu 002; Jinli Zhang; Annisa; Debo Cheng; Huidong Tang; Shuai Jiang; Kenta Maruyama; Yasuhiko Morimoto (KSEM (4), 2023)

SpotGAN: A Reverse-Transformer GAN Generates Scaffold-Constrained Molecules with Property Optimization. - Chen Li 027; Yoshihiro Yamanishi (ECML/PKDD (1), 2023)

EarlGAN: An enhanced actor-critic reinforcement learning agent-driven GAN for de novo drug design. - Huidong Tang; Chen Li 027; Shuai Jiang; Huachong Yu; Sayaka Kamei; Yoshihiro Yamanishi; Yasuhiko Morimoto (Pattern Recognit. Lett., 2023)

GxVAEs: Two Joint VAEs Generate Hit Molecules from Gene Expression Profiles. - Chen Li 027; Yoshihiro Yamanishi (AAAI, 2024)

Advancing Aspect-Based Sentiment Analysis Through Deep Learning Models. - Chen Li 027; Huidong Tang; Jinli Zhang; Xiujing Guo; Debo Cheng; Yasuhiko Morimoto (ADMA (5), 2024)

When Molecular GAN Meets Byte-Pair Encoding. - Huidong Tang; Chen Li 027; Yasuhiko Morimoto (ADMA (2), 2024)

Tailored Federated Learning: Leveraging Direction Regulation and Knowledge Distillation. - Huidong Tang; Chen Li 027; Huachong Yu; Sayaka Kamei; Yasuhiko Morimoto (ADMA (2), 2024)

TenGAN: Pure Transformer Encoders Make an Efficient Discrete GAN for De Novo Molecular Generation. - Chen Li 027; Yoshihiro Yamanishi (AISTATS, 2024)

Molecular Generative Adversarial Network with Multi-Property Optimization. - Huidong Tang; Chen Li 027; Sayaka Kamei; Yoshihiro Yamanishi; Yasuhiko Morimoto (CoRR, 2024)

Enhancing the Performance of Aspect-Based Sentiment Analysis Systems. - Chen Li 027; Huidong Tang; Peng Ju; Debo Cheng; Yasuhiko Morimoto (CoRR, 2024)

Tailored Federated Learning: Leveraging Direction Regulation & Knowledge Distillation. - Huidong Tang; Chen Li 027; Huachong Yu; Sayaka Kamei; Yasuhiko Morimoto (CoRR, 2024)

Transcriptionally Conditional Recurrent Neural Network for De Novo Drug Design. - Yuki Matsukiyo; Atsushi Tengeiji; Chen Li 027; Yoshihiro Yamanishi (J. Chem. Inf. Model., 2024)

Ripple Knowledge Graph Convolutional Networks for Recommendation Systems. - Chen Li 027; Yang Cao 019; Ye Zhu 002; Debo Cheng; Chengyuan Li; Yasuhiko Morimoto (Mach. Intell. Res., 2024)

Quantitative evaluation of molecular generation performance of graph-based GANs. - Jinli Zhang; Zhenbo Wang; Zongli Jiang; Man Wu; Chen Li 027; Yoshihiro Yamanishi (Softw. Qual. J., 2024)

AI-driven transcriptome profile-guided hit molecule generation. - Chen Li 027; Yoshihiro Yamanishi (Artif. Intell., 2025)

Mining area skyline objects from map-based big data using Apache Spark framework. - Chen Li 027; Ye Zhu 002; Yang Cao 019; Jinli Zhang; Annisa; Debo Cheng; Yasuhiko Morimoto (Array, 2025)

TAD-Bench: A Comprehensive Benchmark for Embedding-Based Text Anomaly Detection. - Yang Cao 019; Sikun Yang; Chen Li 027; Haolong Xiang; Lianyong Qi; Bo Liu; Rongsheng Li; Ming Liu (CoRR, 2025)

A Reinforcement Learning-Driven Transformer GAN for Molecular Generation. - Chen Li 027; Huidong Tang; Ye Zhu 002; Yoshihiro Yamanishi (CoRR, 2025)

Leveraging Deep Neural Networks for Aspect-Based Sentiment Classification. - Chen Li 027; Debo Cheng; Yasuhiko Morimoto (CoRR, 2025)