Yonghong Tian

Full Professor, Peking University

5 papers at NeurIPS 2025

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Poster Session 2

3 papers

Wednesday, December 3, 2025 · 4:30 PM → 7:30 PM

Exhibit Hall C,D,E

Time-Evolving Dynamical System for Learning Latent Representations of Mouse Visual Neural Activity

#2111 · Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian

Multiplication-Free Parallelizable Spiking Neurons with Efficient Spatio-Temporal Dynamics

#2008 · Peng Xue, Wei Fang, Zhengyu Ma, Zihan Huang, Zhaokun Zhou, Yonghong Tian, Timothée Masquelier, Huihui Zhou

GS2E: Gaussian Splatting is an Effective Data Generator for Event Stream Generation

#4406 · Yuchen Li, Chaoran Feng, Zhenyu Tang, Kaiyuan Deng, Wangbo Yu, Yonghong Tian, Li Yuan

We present 3D Gaussian Splatting to Event Generation (GS2E), a large-scale event synthetic dataset designed for high-fidelity event vision tasks from real-world sparse multi-view RGB images.

Poster Session 5

2 papers

Friday, December 5, 2025 · 11:00 AM → 2:00 PM

Exhibit Hall C,D,E

Spike4DGS: Towards High-Speed Dynamic Scene Rendering with 4D Gaussian Splatting via a Spike Camera Array

#4417 · Qinghong Ye, Yiqian Chang, Jianing Li, Haoran Xu, Xuan Wang, Wei Zhang, Yonghong Tian, Peixi Peng

A novel framework for spike camera reconstruction

Beyond Chemical QA: Evaluating LLM's Chemical Reasoning with Modular Chemical Operations

#1614 · Li Hao, He CAO, Bin Feng, Daniel Shao, Xiangru Tang, Zhiyuan Yan, Yonghong Tian, Li Yuan, Yu Li

ChemCoTBench bridges complex chemical reasoning with arithmetic-inspired step-by-step workflows, enabling LLMs to systematically tackle real-world tasks like molecular optimization and reaction prediction.