Publications

You can also find my articles on my Google Scholar profile.

Manuscripts


Conference Papers and Posters


Debiasing Central Fixation Confounds Reveals a Peripheral ‘Sweet Spot’ for Human-like Scanpaths in Hard-Attention Vision

Annual Meeting of the Cognitive Science Society (CogSci 2026), 2026

CogSci 2026 poster and full paper on peripheral sensing conditions for human-like scanpaths.

Pan Pengcheng, Shogo Yonekura, and Yasuo Kuniyoshi. "Debiasing Central Fixation Confounds Reveals a Peripheral 'Sweet Spot' for Human-like Scanpaths in Hard-Attention Vision." Annual Meeting of the Cognitive Science Society (CogSci 2026), Poster, Rio de Janeiro, Brazil, July 22-25, 2026.

2026 Details

Human-in-the-Loop Hard Attention for Privacy-Aware Active Vision

The 40th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI 2026), 2026

Oral presentation at JSAI 2026 on human-in-the-loop hard attention for privacy-aware active vision.

Pengcheng Pan, Shogo Yonekura, and Yasuo Kuniyoshi. "Human-in-the-Loop Hard Attention for Privacy-Aware Active Vision." The 40th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI 2026), Oral, Gunma, Japan, June 8-12, 2026.

2026 Details

Human-Model Scanpath Similarity in Hard-Attention Vision Models

Brain and Mind Winter Workshop 2026, 2026

Poster at Brain and Mind Winter Workshop 2026 on human-model scanpath similarity.

Pengcheng Pan, Shogo Yonekura, and Yasuo Kuniyoshi. "Human-Model Scanpath Similarity in Hard-Attention Vision Models." Brain and Mind Winter Workshop 2026, Poster, Hokkaido, Japan, March 9-11, 2026.

2026 Details

Towards Interpretable Active Perception: Modeling Human-like Gaze Behavior

The University of Tokyo IIW Poster Session, 2025

Poster at The University of Tokyo IIW Poster Session on interpretable active perception and human-like gaze behavior.

Pan Pengcheng, Shogo Yonekura, and Yasuo Kuniyoshi. "Towards Interpretable Active Perception: Modeling Human-like Gaze Behavior." The University of Tokyo IIW Poster Session, Poster, Tokyo, Japan, December 9, 2025.

2025 Details

Emergence of Fixational and Saccadic Movements in a Multi-Level Recurrent Attention Model for Vision

32nd International Conference on Neural Information Processing (ICONIP 2025), 2025

Oral paper at ICONIP 2025 on emergent fixation-like and saccade-like gaze behavior in MRAM.

Pan Pengcheng, Shogo Yonekura, and Yasuo Kuniyoshi. "Emergence of Fixational and Saccadic Movements in a Multi-Level Recurrent Attention Model for Vision." 32nd International Conference on Neural Information Processing (ICONIP 2025), Oral, Okinawa, Japan, November 20-24, 2025.

2025 Details

Bayesian Glimpse Control Boosts Active Vision RL on Atari Pong

6th International Workshop on Active Inference (IWAI 2025), 2025

Poster and spotlight at IWAI 2025 on active vision reinforcement learning for Atari Pong.

Pan Pengcheng, Shogo Yonekura, and Yasuo Kuniyoshi. "Bayesian Glimpse Control Boosts Active Vision RL on Atari Pong." 6th International Workshop on Active Inference (IWAI 2025), Poster & Spotlight, Montreal, Canada, October 28-30, 2025.

2025 Details

Connecting Dense and Sparse Networks in Recurrent Independent Mechanisms

Robotics Society of Japan Annual Conference (RSJ 2022), 2022

Oral presentation at RSJ 2022 on dense and sparse recurrent mechanisms.

Pan Pengcheng, Shogo Yonekura, and Yasuo Kuniyoshi. "Connecting Dense and Sparse Networks in Recurrent Independent Mechanisms." Robotics Society of Japan Annual Conference (RSJ 2022), Oral, Tokyo, Japan, October 28-30, 2022.

2022 Details

Numerical Analysis for Pipe Wall Thinning Detection using Electrical Impedance Tomography

17th International Conference on Flow Dynamics (ICFD 2020), 2020

Oral presentation at ICFD 2020 on Electrical Impedance Tomography for pipe wall thinning detection.

Pan Pengcheng and Noritaka Yusa. "Numerical Analysis for Pipe Wall Thinning Detection using Electrical Impedance Tomography." 17th International Conference on Flow Dynamics (ICFD 2020), Oral, Sendai, Japan, October 28-30, 2020.

2020 Details