Haojun Chen

According to our database, Haojun Chen authored at least 22 papers between 2005 and 2026.

Collaborative distances:

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

2026

PixVerve: Advancing Native UHR Image Generation to 100MP with a Large-Scale High-Quality Dataset.

Haojun Chen, Haoyang He, Chengming Xu, Qingdong He, Junwei Zhu, Yabiao Wang, Zhucun Xue, Xianfang Zeng, Zhennan Chen, Xiaobin Hu, Hao Zhao, Yong Liu, Jiangning Zhang, Dacheng Tao

CoRR, May, 2026

DexKnot: Generalizable Visuomotor Policy Learning for Dexterous Bag-Knotting Manipulation.

Jiayuan Zhang, Ruihai Wu, Haojun Chen, Yuran Wang, Yifan Zhong, Ceyao Zhang, Yaodong Yang, Yuanpei Chen

CoRR, March, 2026

Accelerating Robotic Reinforcement Learning with Agent Guidance.

Haojun Chen, Zili Zou, Chengdong Ma, Yaoxiang Pu, Haotong Zhang, Yuanpei Chen, Yaodong Yang

CoRR, February, 2026

SparseTSF: Lightweight and Robust Time Series Forecasting via Sparse Modeling.

Shengsheng Lin, Weiwei Lin, Wentai Wu, Haojun Chen, C. L. Philip Chen

IEEE Trans. Pattern Anal. Mach. Intell., January, 2026

Corrigendum to "Seismic random noise attenuation using structure-oriented 3D curvelet transform" [Comput. Geosci. 206 (2026) 106020].

Minggui Liang, Shaohuan Zu, Zifei Li, Wenlu Liu, Haojun Chen, Zhengyu Tan

Comput. Geosci., 2026

Seismic random noise attenuation using structure-oriented 3D curvelet transform.

Minggui Liang, Shaohuan Zu, Zifei Li, Wenlu Liu, Haojun Chen, Zhengyu Tan

Comput. Geosci., 2026

2025

Finding Kissing Numbers with Game-theoretic Reinforcement Learning.

Chengdong Ma, Théo Tao Zhaowei, Pengyu Li, Minghao Liu, Haojun Chen, Zihao Mao, Yuan Cheng, Yuan Qi, Yaodong Yang

CoRR, November, 2025

Fault Tolerant Multi-Agent Learning with Adversarial Budget Constraints.

David Mguni, Yaqi Sun, Haojun Chen, Amir Darabi, Larry Olanrewaju Orimoloye, Yaodong Yang

CoRR, August, 2025

Benchmarking and revisiting time series forecasting methods in cloud workload prediction.

Shengsheng Lin, Weiwei Lin, Feiyu Zhao, Haojun Chen

Clust. Comput., February, 2025

Temporal Query Network for Efficient Multivariate Time Series Forecasting.

Shengsheng Lin, Haojun Chen, Haijie Wu, Chunyun Qiu, Weiwei Lin

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

Falcon: Fast Visuomotor Policies via Partial Denoising.

Haojun Chen, Minghao Liu, Chengdong Ma, Xiaojian Ma, Zailin Ma, Huimin Wu, Yuanpei Chen, Yifan Zhong, Mingzhi Wang, Qing Li, Yaodong Yang

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

2024

A Method for Retrieving Cloud Microphysical Properties Using Combined Measurement of Millimeter-Wave Radar and Lidar.

Weiqi Lin, Qianshan He, Tiantao Cheng, Haojun Chen, Chao Liu, Jie Liu, Zhecheng Hong, Xinrong Hu, Yiyuan Guo

Remote. Sens., February, 2024

Panacea: Pareto Alignment via Preference Adaptation for LLMs.

Yifan Zhong, Chengdong Ma, Xiaoyuan Zhang, Ziran Yang, Haojun Chen, Qingfu Zhang, Siyuan Qi, Yaodong Yang

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

SparseTSF: Modeling Long-term Time Series Forecasting with *1k* Parameters.

Shengsheng Lin, Weiwei Lin, Wentai Wu, Haojun Chen, Junjie Yang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Verified Compositional Neuro-Symbolic Control for Stochastic Systems with Temporal Logic Tasks.

Jun Wang, Haojun Chen, Zihe Sun, Yiannis Kantaros

CoRR, 2023

MANSA: Learning Fast and Slow in Multi-Agent Systems.

David Mguni, Taher Jafferjee, Haojun Chen, Jianhong Wang, Long Fei, Xidong Feng, Stephen McAleer, Feifei Tong, Jun Wang, Yaodong Yang

CoRR, 2023

MANSA: Learning Fast and Slow in Multi-Agent Systems.

David Henry Mguni, Haojun Chen, Taher Jafferjee, Jianhong Wang, Longfei Yue, Xidong Feng, Stephen Marcus McAleer, Feifei Tong, Jun Wang, Yaodong Yang

Proceedings of the International Conference on Machine Learning, 2023

2012

Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images.

Mingyuan Zhou, Haojun Chen, John W. Paisley, Lu Ren, Lingbo Li, Zhengming Xing, David B. Dunson, Guillermo Sapiro, Lawrence Carin

IEEE Trans. Image Process., 2012

2011

Topic Modeling with Nonparametric Markov Tree.

Haojun Chen, David B. Dunson, Lawrence Carin

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Tree-Structured Compressive Sensing With Variational Bayesian Analysis.

Lihan He, Haojun Chen, Lawrence Carin

IEEE Signal Process. Lett., 2010

2009

Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations.

Mingyuan Zhou, Haojun Chen, John W. Paisley, Lu Ren, Guillermo Sapiro, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2005

Adaptive despeckling SAR images based on scale space correlation.

Lu Ren, Mengdao Xing, Zheng Bao, Haojun Chen

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005