Publications

A collection of my research work.

Learning Spatiotemporal Sensitivity in Video LLMs via Counterfactual Reinforcement Learning

Dazhao Du, Jian Liu, Jialong Qin, Tao Han, Bohai Gu, Fangqi Zhu, Yujia Zhang, Eric Liu, Xi Chen, Song Guo^✝

arXiv preprint arXiv:2605.21988 2026

Code

MLLMs Know When Before Speaking: Revealing and Recovering Temporal Grounding via Attention Cues

Dazhao Du^✦, Liao Duan^✦, Jian Liu, Tao Han, Yujia Zhang, Eric Liu, Xi Chen, Song Guo^✝

arXiv preprint arXiv:2605.21954 2026

Code

Benchmarking Physics-Informed Time-Series Models for Operational Global Station Weather Forecasting

Tao Han, Zhibin Wen, Zhenghao Chen, Dazhao Du, Song Guo^✝, Lei Bai^✝

Forty-Third International Conference on Machine Learning (ICML) 2026

Code

Mesh-Pro: Asynchronous Advantage-guided Ranking Preference Optimization for Artist-style Quadrilateral Mesh Generation

Zhen Zhou^✦, Jian Liu^✦, Biwen Lei, Jing Xu, Haohan Weng, Yiling Zhu, Zhuo Chen, Junfeng Fan, Yunkai Ma^✝, Dazhao Du, Song Guo^✝, Fengshui Jing, Chunchao Guo

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026

CRA5: a high-fidelity compressed reanalysis atmospheric dataset for weather and climate research

Tao Han, Dazhao Du, Zhenghao Chen, Song Guo^✝, Wanli Ouyang, Lei Bai^✝

Scientific Data 2026

DOI Code

A physical model-guided framework for underwater image enhancement and depth estimation

Dazhao Du, Lingyu Si, Fanjiang Xu^✝, Jianwei Niu, Fuchun Sun

IEEE Transactions on Circuits and Systems for Video Technology 2026

DOI Code

UVENet: A novel end-to-end model for temporal consistency in underwater video enhancement

Huijie Guo, Dazhao Du, Hongwei Dong, Shouyou Huang, Changwen Zheng, Lingyu Si^✝

Neural Networks 2026

DOI Code

Predicting the Future by Retrieving the Past

Dazhao Du, Tao Han, Song Guo^✝

The 40th Annual AAAI Conference on Artificial Intelligence (AAAI) 2026

DOI Code

UIEDP: Boosting underwater image enhancement with diffusion prior

Dazhao Du, Enhan Li, Lingyu Si, Wenlong Zhai, Fanjiang Xu^✝, Jianwei Niu, Fuchun Sun

Expert Systems with Applications 2025

DOI

Do we really need temporal convolutions in action segmentation?

Dazhao Du, Bing Su^✝, Yu Li, Zhongang Qi, Lingyu Si, Ying Shan

2023 IEEE International Conference on Multimedia and Expo (ICME) 2023

DOI Code

Preformer: Predictive Transformer with Multi-Scale Segment-Wise Correlations for Long-Term Time Series Forecasting

Dazhao Du, Bing Su^✝, Zhewei Wei

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2023

DOI Code

Timestamp-supervised action segmentation from the perspective of clustering

Dazhao Du, Enhan Li, Lingyu Si, Fanjiang Xu^✝, Fuchun Sun

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI) 2023

DOI Code

A molecular multimodal foundation model associating molecule graphs with natural language

Bing Su, Dazhao Du, Zhao Yang, Yujie Zhou, Jiangmeng Li, Anyi Rao, Hao Sun, Zhiwu Lu, Ji-Rong Wen^✝

arXiv preprint arXiv:2209.05481 2022

Code

Convolutional Transformer with Similarity-based Boundary Prediction for Action Segmentation

Dazhao Du, Bing Su^✝, Yu Li, Zhongang Qi, Lingyu Si, Ying Shan

2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI) 2022

DOI