Jiachun Pan

According to our database, Jiachun Pan authored at least 20 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

MIND: Benchmarking Memory Consistency and Action Control in World Models.

Yixuan Ye, Xuanyu Lu, Yuxin Jiang, Yuchao Gu, Rui Zhao, Qiwei Liang, Jiachun Pan, Fengda Zhang, Weijia Wu, Alex Jinpeng Wang

CoRR, February, 2026

MEMO: Memory-Guided Diffusion for Expressive Talking Video Generation.

Longtao Zheng, Yifan Zhang, Hanzhong Guo, Jiachun Pan, Zhenxiong Tan, Jiahao Lu, Chuanxin Tang, Bo An, Shuicheng Yan

Trans. Mach. Learn. Res., 2026

2025

WEAVE: Unleashing and Benchmarking the In-context Interleaved Comprehension and Generation.

Wei Chow, Jiachun Pan, Yongyuan Liang, Mingze Zhou, Xue Song, Liyu Jia, Saining Zhang, Siliang Tang, Juncheng Li, Fengda Zhang, Weijia Wu, Hanwang Zhang, Tat-Seng Chua

CoRR, November, 2025

Selftok: Discrete Visual Tokens of Autoregression, by Diffusion, and for Reasoning.

Bohan Wang, Zhongqi Yue, Fengda Zhang, Shuo Chen, Li'an Bi, Junzhe Zhang, Xue Song, Kennard Yanting Chan, Jiachun Pan, Weijia Wu, Mingze Zhou, Wang Lin, Kaihang Pan, Saining Zhang, Liyu Jia, Wentao Hu, Wei Zhao, Hanwang Zhang

CoRR, May, 2025

Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought.

Yi Peng, Chris, Xiaokun Wang, Yichen Wei, Jiangbo Pei, Weijie Qiu, Ai Jian, Yunzhuo Hao, Jiachun Pan, Tianyidan Xie, Li Ge, Rongxian Zhuang, Xuchen Song, Yang Liu, Yahui Zhou

CoRR, April, 2025

Towards Understanding Why Data Augmentation Improves Generalization.

Jingyang Li, Jiachun Pan, Kim-Chuan Toh, Pan Zhou

CoRR, February, 2025

BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms.

Yunlong Hou, Fengzhuo Zhang, Cunxiao Du, Xuan Zhang, Jiachun Pan, Tianyu Pang, Chao Du, Vincent Y. F. Tan, Zhuoran Yang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning.

Jingyang Li, Jiachun Pan, Vincent Y. F. Tan, Kim-Chuan Toh, Pan Zhou

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Enhancing Multi-Text Long Video Generation Consistency without Tuning: Time-Frequency Analysis, Prompt Alignment, and Theory.

Xingyao Li, Fengzhuo Zhang, Jiachun Pan, Yunlong Hou, Vincent Y. F. Tan, Zhuoran Yang

CoRR, 2024

PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator.

Hanshu Yan, Xingchao Liu, Jiachun Pan, Jun Hao Liew, Qiang Liu, Jiashi Feng

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models.

Jiachun Pan, Jun Hao Liew, Vincent Y. F. Tan, Jiashi Feng, Hanshu Yan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DragDiffusion: Harnessing Diffusion Models for Interactive Point-Based Image Editing.

Yujun Shi, Chuhui Xue, Jun Hao Liew, Jiachun Pan, Hanshu Yan, Wenqing Zhang, Vincent Y. F. Tan, Song Bai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Asymptotic Nash Equilibrium for the M-Ary Sequential Adversarial Hypothesis Testing Game.

Jiachun Pan, Yonglong Li, Vincent Y. F. Tan

IEEE Trans. Inf. Forensics Secur., 2023

Towards Accurate Guided Diffusion Sampling through Symplectic Adjoint Method.

Jiachun Pan, Hanshu Yan, Jun Hao Liew, Jiashi Feng, Vincent Y. F. Tan

CoRR, 2023

DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing.

Yujun Shi, Chuhui Xue, Jiachun Pan, Wenqing Zhang, Vincent Y. F. Tan, Song Bai

CoRR, 2023

Towards Understanding Why Mask Reconstruction Pretraining Helps in Downstream Tasks.

Jiachun Pan, Pan Zhou, Shuicheng Yan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Asymptotic Nash Equilibrium for the Sequential Adversarial Hypothesis Testing Game.

Jiachun Pan, Yonglong Li, Vincent Y. F. Tan

Proceedings of the IEEE International Symposium on Information Theory, 2022

2021

Asymptotics of Sequential Composite Hypothesis Testing under Probabilistic Constraints.

Jiachun Pan, Yonglong Li, Vincent Y. F. Tan

Proceedings of the IEEE International Symposium on Information Theory, 2021

2020

On the Error Exponent of Approximate Sufficient Statistics for M-ary Hypothesis Testing.

Jiachun Pan, Yonglong Li, Vincent Y. F. Tan, Yonina C. Eldar

Proceedings of the IEEE International Symposium on Information Theory, 2020

2018

Identifying Rumor Sources Using Dominant Eigenvalue of Nonbacktracking Matrix.

Jiachun Pan, Wenyi Zhang

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018