CityProphet: city-scale irregularity prediction using transit app logs. - Tatsuya Konishi; Mikiya Maruyama; Kota Tsubouchi; Masamichi Shimosaka (UbiComp, 2016)

Finding Minimum Locating Arrays Using a SAT Solver. - Tatsuya Konishi; Hideharu Kojima; Hiroyuki Nakagawa; Tatsuhiro Tsuchiya (ICST Workshops, 2017)

Early Destination Prediction with Spatio-temporal User Behavior Patterns. - Ryo Imai; Kota Tsubouchi; Tatsuya Konishi; Masamichi Shimosaka (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

Social Behaviors: A Social Topology and Interaction Pattern Affect the Properties of a Changed Behavior. - Tatsuya Konishi; Masatoshi Nagata; Masaru Honjo; Akio Yoneyama; Masayuki Kurokawa; Koji Mishima (PERSUASIVE, 2019)

Finding Minimum Locating Arrays Using a CSP Solver. - Tatsuya Konishi; Hideharu Kojima; Hiroyuki Nakagawa; Tatsuhiro Tsuchiya (Fundam. Informaticae, 2020)

Using simulated annealing for locating array construction. - Tatsuya Konishi; Hideharu Kojima; Hiroyuki Nakagawa; Tatsuhiro Tsuchiya (Inf. Softw. Technol., 2020)

A Study on Metrics for Concept Drift Detection Based on Predictions and Parameters of Ensemble Model. - Kei Yonekawa; Shuichiro Haruta; Tatsuya Konishi; Kazuhiro Saito; Hideki Asoh; Mori Kurokawa (MobiQuitous, 2021)

Positing a Sense of Agency-Aware Persuasive AI: Its Theoretical and Computational Frameworks. - Roberto Legaspi; Wenzhen Xu; Tatsuya Konishi; Shinya Wada (PERSUASIVE, 2021)

Does Activeness Originate in Individuals or Groups? Analysis of the Interrelationships between Network Indices and Posts Using Multilevel Cross-Lagged Model. - Kenta Tsukatsune; Tatsuya Konishi; Yuto Mizutani; Mori Kurokawa; Shuichiro Haruta; Tomoaki Saito (WI/IAT (Workshop/Special Session), 2021)

A Novel Graph Aggregation Method Based on Feature Distribution Around Each Ego-node for Heterophily. - Shuichiro Haruta; Tatsuya Konishi; Mori Kurokawa (ACML, 2022)

Multi-view Contrastive Multiple Knowledge Graph Embedding for Knowledge Completion. - Mori Kurokawa; Kei Yonekawa; Shuichiro Haruta; Tatsuya Konishi; Hideki Asoh; Chihiro Ono; Masafumi Hagiwara (ICMLA, 2022)

A Theoretical Study on Solving Continual Learning. - Gyuhak Kim; Changnan Xiao; Tatsuya Konishi; Zixuan Ke; Bing Liu 001 (NeurIPS, 2022)

Partially Relaxed Masks for Knowledge Transfer Without Forgetting in Continual Learning. - Tatsuya Konishi; Mori Kurokawa; Chihiro Ono; Zixuan Ke; Gyuhak Kim; Bing Liu 001 (PAKDD (1), 2022)

Multidimensional Analysis of Sense of Agency During Goal Pursuit. - Roberto Legaspi; Wenzhen Xu; Tatsuya Konishi; Shinya Wada; Yuichi Ishikawa (UMAP, 2022)

CG-GNN: A Novel Compiled Graphs-based Feature Extraction Method for Enterprise Social Networks. - Tatsuya Konishi; Shuichiro Haruta; Mori Kurokawa; Kenta Tsukatsune; Yuto Mizutani; Tomoaki Saito; Hideki Asoh; Chihiro Ono (ICDAR@ICMR, 2023)

Continual Pre-training of Language Models. - Zixuan Ke; Yijia Shao; Haowei Lin; Tatsuya Konishi; Gyuhak Kim; Bing Liu 001 (ICLR, 2023)

Learnability and Algorithm for Continual Learning. - Gyuhak Kim; Changnan Xiao; Tatsuya Konishi; Bing Liu 001 (ICML, 2023)

Parameter-Level Soft-Masking for Continual Learning. - Tatsuya Konishi; Mori Kurokawa; Chihiro Ono; Zixuan Ke; Gyuhak Kim; Bing Liu 001 (ICML, 2023)

Continual Learning of Language Models. - Zixuan Ke; Yijia Shao; Haowei Lin; Tatsuya Konishi; Gyuhak Kim; Bing Liu 001 (CoRR, 2023)

The sense of agency in human-AI interactions. - Roberto Legaspi; Wenzhen Xu; Tatsuya Konishi; Shinya Wada; Nao Kobayashi; Yasushi Naruse; Yuichi Ishikawa (Knowl. Based Syst., 2024)

Open-world continual learning: Unifying novelty detection and continual learning. - Gyuhak Kim; Changnan Xiao; Tatsuya Konishi; Zixuan Ke; Bing Liu 001 (Artif. Intell., 2025)