Zonghao Chen

According to our database, Zonghao Chen authored at least 21 papers between 2021 and 2026.

Collaborative distances:

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

2026

Thinned Mean Field Langevin Dynamics.

Zonghao Chen, Heishiro Kanagawa, François-Xavier Briol, Chris J. Oates, Lester Mackey

CoRR, May, 2026

Sobolev Regularized MMD Gradient Flow.

Chenyang Tian, Bharath K. Sriperumbudur, Arthur Gretton, Zonghao Chen

CoRR, May, 2026

Fisher Decorator: Refining Flow Policy via A Local Transport Map.

Xiaoyuan Cheng, Haoyu Wang, Wenxuan Yuan, Ziyan Wang, Zonghao Chen, Li Zeng, Zhuo Sun

CoRR, April, 2026

The Fourth Challenge on Image Super-Resolution (⨉4) at NTIRE 2026: Benchmark Results and Method Overview.

Zheng Chen, Kai Liu, Jingkai Wang, Xianglong Yan, Jianze Li, Ziqing Zhang, Jue Gong, Jiatong Li, Lei Sun, Xiaoyang Liu, Radu Timofte, Yulun Zhang, Jihye Park, Yoonjin Im, Hyungju Chun, Hyunhee Park, MinKyu Park, Zheng Xie, Xiangyu Kong, Weijun Yuan, Zhan Li, Qiurong Song, Luen Zhu, Fengkai Zhang, Xinzhe Zhu, Junyang Chen, Congyu Wang, Yixin Yang, Zhaorun Zhou, Jiangxin Dong, Jinshan Pan, Shengwei Wang, Jiajie Ou, Baiang Li, Sizhuo Ma, Qiang Gao, Jusheng Zhang, Jian Wang, Keze Wang, Yijiao Liu, Yingsi Chen, Hui Li, Yu Wang, Congchao Zhu, Saeed Ahmad, Ik Hyun Lee, Jun Young Park, Ji Hwan Yoon, Kainan Yan, Zian Wang, Weibo Wang, Shihao Zou, Chao Dong, Wei Zhou, Linfeng Li, Jaeseong Lee, Jaeho Chae, Jinwoo Kim, Seonjoo Kim, Yucong Hong, Zhenming Yan, Junye Chen, Ruize Han, Song Wang, Yuxuan Jiang, Chengxi Zeng, Tianhao Peng, Fan Zhang, David Bull, Tongyao Mu, Qiong Cao, Yifan Wang, Youwei Pan, Leilei Cao, Xiaoping Peng, Wei Deng, Yifei Chen, Wenbo Xiong, Xian Hu, Yuxin Zhang, Xiaoyun Cheng, Yang Ji, Zonghao Chen, Zhihao Xue, Junqin Hu, Nihal Kumar, Snehal Singh Tomar, Klaus Mueller, Surya Vashisth, Prateek Shaily, Jayant Kumar, Hardik Sharma, Ashish Negi, Sachin Chaudhary, Akshay Dudhane, Praful Hambarde, Amit Shukla, Shijun Shi, Jiangning Zhang, et al.

CoRR, April, 2026

Degradation-Aware and Structure-Preserving Diffusion for Real-World Image Super-Resolution.

Yang Ji, Zonghao Chen, Zhihao Xue, Junqin Hu

CoRR, April, 2026

Efficient Inference for Large Vision-Language Models: Bottlenecks, Techniques, and Prospects.

Jun Zhang, Yicheng Ji, Feiyang Ren, Yihang Li, Bowen Zeng, Zonghao Chen, Ke Chen, Lidan Shou, Gang Chen, Huan Li

CoRR, April, 2026

TOPOGRAPH: Topology-Preserving Graph Reduction with Adaptive Structure for Persistent Homology.

Zonghao Chen, Yuncheng Jiang, Gang Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

BayesSum: Bayesian Quadrature in Discrete Spaces.

Sophia Seulkee Kang, François-Xavier Briol, Toni Karvonen, Zonghao Chen

CoRR, December, 2025

Nonparametric Instrumental Variable Regression with Observed Covariates.

Zikai Shen, Zonghao Chen, Dimitri Meunier, Ingo Steinwart, Arthur Gretton, Zhu Li

CoRR, November, 2025

Towards a Unified Analysis of Neural Networks in Nonparametric Instrumental Variable Regression: Optimization and Generalization.

Zonghao Chen, Atsushi Nitanda, Arthur Gretton, Taiji Suzuki

CoRR, November, 2025

Stationary MMD Points for Cubature.

Zonghao Chen, Toni Karvonen, Heishiro Kanagawa, François-Xavier Briol, Chris J. Oates

CoRR, May, 2025

(De)-regularized Maximum Mean Discrepancy Gradient Flow.

Zonghao Chen, Aratrika Mustafi, Pierre Glaser, Anna Korba, Arthur Gretton, Bharath K. Sriperumbudur

J. Mach. Learn. Res., 2025

Nested Expectations with Kernel Quadrature.

Zonghao Chen, Masha Naslidnyk, François-Xavier Briol

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

2024

Conditional Bayesian Quadrature.

Zonghao Chen, Masha Naslidnyk, Arthur Gretton, François-Xavier Briol

Proceedings of the Uncertainty in Artificial Intelligence, 2024

Conformal Counterfactual Inference under Hidden Confounding.

Zonghao Chen, Ruocheng Guo, Jean-Francois Ton, Yang Liu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2022

PanoViT: Vision Transformer for Room Layout Estimation from a Single Panoramic Image.

Weichao Shen, Yuan Dong, Zonghao Chen, Zhengyi Zhao, Yang Gao, Zhu Liu

CoRR, 2022

Tractable Function-Space Variational Inference in Bayesian Neural Networks.

Tim G. J. Rudner, Zonghao Chen, Yee Whye Teh, Yarin Gal

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Probabilistic Bilevel Coreset Selection.

Xiao Zhou, Renjie Pi, Weizhong Zhang, Yong Lin, Zonghao Chen, Tong Zhang

Proceedings of the International Conference on Machine Learning, 2022

2021

Adv-Depth: Self-Supervised Monocular Depth Estimation With an Adversarial Loss.

Kunhong Li, Zhiheng Fu, Hanyun Wang, Zonghao Chen, Yulan Guo

IEEE Signal Process. Lett., 2021

Distortion-Aware Monocular Depth Estimation for Omnidirectional Images.

Hong-Xiang Chen, Kunhong Li, Zhiheng Fu, Mengyi Liu, Zonghao Chen, Yulan Guo

IEEE Signal Process. Lett., 2021

Efficient Neural Network Training via Forward and Backward Propagation Sparsification.

Xiao Zhou, Weizhong Zhang, Zonghao Chen, Shizhe Diao, Tong Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021