| 2026 | CHI | Dialogue Control and Its Consequences: Grounding, Policy, and User Perception in Persuasive Chatbots. | Roberto Legaspi, Donghuo Zeng, Kazushi Ikeda |
| 2026 | HCI | Analysis of Users' Big Five Traits and Emotional Changes During Dialogue Breakdowns with ChatGPT. | Shunichi Tahara, Eriko Sugisaki, Keiji Yasuda, Akihiro Miyamoto, Motoyuki Sanada, Kae Nakajima, Kazushi Ikeda, Nao Kobayashi, Yasushi Naruse |
| 2026 | Persuasive | Personality-Aware Reinforcement Learning for Persuasive Dialogue with LLM-Driven Simulation. | Donghuo Zeng, Roberto Legaspi, Kazushi Ikeda |
| 2025 | CogSci | Learning Hidden Causal Factors from Psychometrics Data Using Distributional Information. | Roberto Legaspi, Xinshuai Dong, Donghuo Zeng, Yuewen Sun, Kazushi Ikeda, Peter Spirtes, Kun Zhang |
| 2025 | HCI | The Impact of Dialogue with ChatGPT and Extroversion on Mental State. | Shunichi Tahara, Eriko Sugisaki, Keiji Yasuda, Akihiro Miyamoto, Motoyuki Sanada, Kae Nakajima, Kazushi Ikeda, Nao Kobayashi, Yasushi Naruse |
| 2025 | ICASSP | Metric Learning with Progressive Self-Distillation for Audio-Visual Embedding Learning. | Donghuo Zeng, Kazushi Ikeda |
| 2025 | ICONIP | Fine and Dynamic Functional Modules of Local Field Potentials in the Lateral Prefrontal Cortex of Monkeys. | Kotaro Hironaka, Kazuhiro Sakamoto, Norihiko Kawaguchi, Hajime Mushiake, Kazushi Ikeda |
| 2025 | IJCNN | FinSIR: Financial SIR-GCN for Market-Aware Stock Recommendation. | Brian Godwin Lim, Jiahong Liu, Hans Jarett J. Ong, Jan Adrian Chan, Renzo Roel Tan, Irwin King, Kazushi Ikeda |
| 2025 | INLG | PRICoT: Principle Retrieval and Injection from Inference Successes and Failures for CoT Improvement. | Yudai Yamazaki, Naoto Takeda, Yasutaka Nishimura, Kazushi Ikeda |
| 2025 | PRICAI | Affective Resonance to Agency Alignment: Sense of Agency in Human-Centered AI. | Roberto Legaspi, Kazushi Ikeda, Nao Kobayashi |
| 2024 | EMNLP | Zero-shot Persuasive Chatbots with LLM-Generated Strategies and Information Retrieval. | Kazuaki Furumai, Roberto Legaspi, Julio Romero, Yudai Yamazaki, Yasutaka Nishimura, Sina J. Semnani, Kazushi Ikeda, Weiyan Shi, Monica S. Lam |
| 2024 | ICMLC | Defecation Prediction System Using & A Mathematical Model of Bowel Sounds. | Koki Kishishita, Kazushi Ikeda |
| 2024 | Persuasive | Estimating Sense of Agency from Behavioral Logs: Toward a Just-in-Time Adaptive Intervention System. | Ryunosuke Togawa, Roberto Legaspi, Yasutaka Nishimura, Akihiro Miyamamoto, Bo Yang, Eriko Sugisaki, Kazushi Ikeda, Nao Kobayashi, Yasushi Naruse |
| 2024 | Persuasive | Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome. | Donghuo Zeng, Roberto Sebastian Legaspi, Yuewen Sun, Xinshuai Dong, Kazushi Ikeda, Peter Spirtes, Kun Zhang |
| 2023 | ICMI | EmotiW 2023: Emotion Recognition in the Wild Challenge. | Abhinav Dhall, Monisha Singh, Roland Goecke, Tom Gedeon, Donghuo Zeng, Yanan Wang, Kazushi Ikeda |
| 2023 | ICMI | Do I Have Your Attention: A Large Scale Engagement Prediction Dataset and Baselines. | Monisha Singh, Ximi Hoque, Donghuo Zeng, Yanan Wang, Kazushi Ikeda, Abhinav Dhall |
| 2023 | ICMLA | Detecting Dialogue Hallucination Using Graph Neural Networks. | Kazuaki Furumai, Yanan Wang, Makoto Shinohara, Kazushi Ikeda, Yi Yu, Tsuneo Kato |
| 2023 | ICMLA | ALLFA: Active Learning Through Label and Feature Augmentation. | Yasutaka Nishimura, Naoto Takeda, Roberto Legaspi, Kazushi Ikeda, Thomas Pltz, Sonia Chernova |
| 2023 | ICONIP | Temporal Attention for Robust Multiple Object Pose Tracking. | Zhongluo Li, Junichiro Yoshimoto, Kazushi Ikeda |
| 2023 | ISM | Triplet Loss with Curriculum Learning for Audio-Visual Retrieval. | Donghuo Zeng, Kazushi Ikeda |
| 2023 | PERCOM | Extraction of Important Temporal Order for eXplainable AI on Time-series data. | Yasutaka Nishimura, Naoto Takeda, Roberto Legaspi, Kazushi Ikeda, Thomas Pltz, Sonia Chernova |
| 2022 | ICALT | JaSenpai: Towards an Adaptive and Social Interactive E-Learning Platform for Japanese Language Learning. | Mario E. Aburto-Gutierrez, Gamar Azuaje, Vipul Mishra, Shaira Osmani, Kazushi Ikeda |
| 2022 | ISM | Complete Cross-triplet Loss in Label Space for Audio-visual Cross-modal Retrieval. | Donghuo Zeng, Yanan Wang, Jianming Wu, Kazushi Ikeda |
| 2021 | IJCNN | Solving the Shepherding Problem: Imitation Learning Can Acquire the Switching Algorithm. | Clark Kendrick Go, Nishanth Koganti, Kazushi Ikeda |
| 2020 | ICONIP | Hindsight-Combined and Hindsight-Prioritized Experience Replay. | Renzo Roel P. Tan, Kazushi Ikeda, John Paul C. Vergara |
| 2020 | SMC | Evaluating Mental State of Drivers in Automated Driving Using Heart Rate Variability towards Feasible Request-to-Intervene. | Felan Carlo C. Garcia, Takatomi Kubo, Chao-Ling Chang, Masafumi Hisada, Takashi Bando, Midori Kato, Masataka Mori, Kazuhito Takenaka, Toshitaka Yamakawa, Koichi Fujiwara, Kazushi Ikeda |
| 2019 | ACML | ResNet and Batch-normalization Improve Data Separability. | Yasutaka Furusho, Kazushi Ikeda |
| 2019 | ICML | Better generalization with less data using robust gradient descent. | Matthew J. Holland, Kazushi Ikeda |
| 2019 | IUI | Empathic dialogue system based on emotions extracted from tweets. | Shunichi Tahara, Kazushi Ikeda, Keiichiro Hoashi |
| 2018 | COMPSAC | A Design of IoT-Based Searching System for Displaying Victim's Presence Area. | Mohammad Rosyidi, Ratih H. Puspita, Shigeru Kashihara, Doudou Fall, Kazushi Ikeda |
| 2018 | HCOMP | Utilizing Crowdsourced Asynchronous Chat for Efficient Collection of Dialogue Dataset. | Kazushi Ikeda, Keiichiro Hoashi |
| 2018 | ICONIP | Feature Selection Using Distance from Classification Boundary and Monte Carlo Simulation. | Yutaro Koyama, Kazushi Ikeda, Yuichi Sakumura |
| 2018 | IJCNN | Online Max-flow Learning via Augmenting and De-augmenting Path. | Shaoning Pang, Lei Zhu, Tao Ban, Kazushi Ikeda, Wangfei Zhang, Abdolhossein Sarrafzadeh, Takeshi Takahashi, Daisuke Inoue |
| 2017 | CHI | Crowdsourcing GO: Effect of Worker Situation on Mobile Crowdsourcing Performance. | Kazushi Ikeda, Keiichiro Hoashi |
| 2017 | ICDM | A Bootstrap Method for Automatic Rule Acquisition on Emotion Cause Extraction. | Shuntaro Yada, Kazushi Ikeda, Keiichiro Hoashi, Kyo Kageura |
| 2017 | ICONIP | A Hierarchical Mixture Density Network. | Fan Yang, Jaymar Soriano, Takatomi Kubo, Kazushi Ikeda |
| 2016 | CHI | Pay It Backward: Per-Task Payments on Crowdsourcing Platforms Reduce Productivity. | Kazushi Ikeda, Michael S. Bernstein |
| 2016 | ICONIP | A Brief Review of Spin-Glass Applications in Unsupervised and Semi-supervised Learning. | Lei Zhu, Kazushi Ikeda, Paul Pang, Ruibin Zhang, Abdolhossein Sarrafzadeh |
| 2016 | IJCNN | A reinforcement learning approach to the shepherding task using SARSA. | Clark Kendrick Go, Bryan Lao, Junichiro Yoshimoto, Kazushi Ikeda |
| 2016 | WSDM | Extracting Search Query Patterns via the Pairwise Coupled Topic Model. | Takuya Konishi, Takuya Ohwa, Sumio Fujita, Kazushi Ikeda, Kohei Hayashi |
| 2015 | ICASSP | Location robust estimation of predictive Weibull parameters in short-term wind speed forecasting. | Matthew J. Holland, Kazushi Ikeda |
| 2015 | ICONIP | Information Theoretical Analysis of Deep Learning Representations. | Yasutaka Furusho, Takatomi Kubo, Kazushi Ikeda |
| 2015 | IROS | Cloth dynamics modeling in latent spaces and its application to robotic clothing assistance. | Nishanth Koganti, Jimson Gelbolingo Ngeo, Tomoya Tamei, Kazushi Ikeda, Tomohiro Shibata |
| 2014 | ICASSP | Forecasting in wind energy applications with site-adaptive Weibull estimation. | Matthew J. Holland, Kazushi Ikeda |
| 2014 | WISE | Feature Based Sentiment Analysis of Tweets in Multiple Languages. | Maike Erdmann, Kazushi Ikeda, Hiromi Ishizaki, Gen Hattori, Yasuhiro Takishima |
| 2013 | AINA | Early Detection Method of Service Quality Reduction Based on Linguistic and Time Series Analysis of Twitter. | Kazushi Ikeda, Gen Hattori, Chihiro Ono, Hideki Asoh, Teruo Higashino |
| 2013 | ICASSP | Towards prediction of driving behavior via basic pattern discovery with BP-AR-HMM. | Ryunosuke Hamada, Takatomi Kubo, Kazushi Ikeda, Zujie Zhang, Tomohiro Shibata, Takashi Bando, Masumi Egawa |
| 2013 | ICONIP | Probability of Perfect Reconstruction of Pareto Set in Multi-Objective Optimization. | Kazushi Ikeda, Akira Hontani |
| 2012 | ICONIP | An Estimation of Cell Forces with Hierarchical Bayes Approach Considering Cell Morphology. | Satoshi Kozawa, Yuichi Sakumura, Michinori Toriyama, Naoyuki Inagaki, Kazushi Ikeda |
| 2012 | IJCNN | A statistical analysis of soft-margin support vector machines for non-separable problems. | Hiroyuki Funaya, Kazushi Ikeda |
| 2011 | ICONIP | An Automatic Music Transcription Based on Translation of Spectrum and Sound Path Estimation. | Ryota Ikeuchi, Kazushi Ikeda |
| 2011 | ICONIP | An Online Human Activity Recognizer for Mobile Phones with Accelerometer. | Yuki Maruno, Kenta Cho, Yuzo Okamoto, Hisao Setoguchi, Kazushi Ikeda |
| 2011 | IJCNN | Phase diagrams of a variational Bayesian approach with ARD prior in NIRS-DOT. | Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda, Masa-aki Sato |
| 2010 | ICANN | Theoretical Analysis of Cross-Validation(CV)-EM Algorithm. | Takashi Takenouchi, Kazushi Ikeda |
| 2010 | ICDM | Exponential Family Tensor Factorization for Missing-Values Prediction and Anomaly Detection. | Kohei Hayashi, Takashi Takenouchi, Tomohiro Shibata, Yuki Kamiya, Daishi Kato, Kazuo Kunieda, Keiji Yamada, Kazushi Ikeda |
| 2009 | ICONIP | Estimation of Driving Phase by Modeling Brake Pressure Signals. | Hiroki Mima, Kazushi Ikeda, Tomohiro Shibata, Naoki Fukaya, Kentarou Hitomi, Takashi Bando |
| 2008 | ICONIP | A Support Vector Machine with Forgetting Factor and Its Statistical Properties. | Hiroyuki Funaya, Yoshihiko Nomura, Kazushi Ikeda |
| 2008 | ICONIP | Online Multibody Factorization Based on Bayesian Principal Component Analysis of Gaussian Mixture Models. | Kentarou Hitomi, Takashi Bando, Naoki Fukaya, Kazushi Ikeda, Tomohiro Shibata |
| 2008 | ICONIP | Information Geometry of Interspike Intervals in Spiking Neurons with Refractories. | Daisuke Komazawa, Kazushi Ikeda, Hiroyuki Funaya |
| 2007 | ICONIP | Information Geometry and Information Theory in Machine Learning. | Kazushi Ikeda, Kazunori Iwata |
| 2006 | ICONIP | On Properties of Genetic Operators from a Network Analytical Viewpoint. | Hiroyuki Funaya, Kazushi Ikeda |
| 2006 | IJCNN | On Geometric Structure of Quasi-Additive Learning Algorithms. | Kazushi Ikeda |
| 2005 | ICANN | An Information Geometrical Analysis of Neural Spike Sequences. | Kazushi Ikeda |
| 2005 | ICANN | Stochastic Processes for Return Maximization in Reinforcement Learning. | Kazunori Iwata, Hideaki Sakai, Kazushi Ikeda |
| 2005 | ICASSP | Effects of norms on learning properties of support vector machines. | Kazushi Ikeda, Noboru Murata |
| 2003 | ICANN | Generalization Error Analysis for Polynomial Kernel Methods - Algebraic Geometrical Approach. | Kazushi Ikeda |
| 2003 | IDEAL | Temporal Difference Coding in Reinforcement Learning. | Kazunori Iwata, Kazushi Ikeda |
| 1999 | ICASSP | Convergence properties of the block orthogonal projection algorithm. | Kazushi Ikeda, Hideaki Sakai |
| 1998 | ICASSP | A numerically stable fast Newton type adaptive filter based on order update fast least squares algorithm. | Youhua Wang, Kazushi Ikeda, Kenji Nakayama |
| 1998 | ICONIP | Block-Size Optimization of Block Orthogonal Projection Algorithm for Linear Dichotomies. | Kazushi Ikeda, Seiji Miyoshi, Kenji Nakayama |