Efficient Neural Network Training via Forward and Backward Propagation Sparsification. - Xiao Zhou; Weizhong Zhang; Zonghao Chen; Shizhe Diao; Tong Zhang 001 (NeurIPS, 2021)

Distortion-Aware Monocular Depth Estimation for Omnidirectional Images. - Hong-Xiang Chen; Kunhong Li 001; Zhiheng Fu; Mengyi Liu; Zonghao Chen; Yulan Guo (IEEE Signal Process. Lett., 2021)

Adv-Depth: Self-Supervised Monocular Depth Estimation With an Adversarial Loss. - Kunhong Li 001; Zhiheng Fu; Hanyun Wang; Zonghao Chen; Yulan Guo (IEEE Signal Process. Lett., 2021)

Probabilistic Bilevel Coreset Selection. - Xiao Zhou; Renjie Pi; Weizhong Zhang; Yong Lin; Zonghao Chen; Tong Zhang 001 (ICML, 2022)

Tractable Function-Space Variational Inference in Bayesian Neural Networks. - Tim G. J. Rudner; Zonghao Chen; Yee Whye Teh; Yarin Gal (NeurIPS, 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)

Conformal Counterfactual Inference under Hidden Confounding. - Zonghao Chen; Ruocheng Guo; Jean-Francois Ton; Yang Liu 018 (KDD, 2024)

Conditional Bayesian Quadrature. - Zonghao Chen; Masha Naslidnyk; Arthur Gretton; François-Xavier Briol (UAI, 2024)

(De)-regularized Maximum Mean Discrepancy Gradient Flow. - Zonghao Chen; Aratrika Mustafi; Pierre Glaser; Anna Korba; Arthur Gretton; Bharath K. Sriperumbudur (CoRR, 2024)

Nested Expectations with Kernel Quadrature. - Zonghao Chen; Masha Naslidnyk; François-Xavier Briol (CoRR, 2025)

Stationary MMD Points for Cubature. - Zonghao Chen; Toni Karvonen; Heishiro Kanagawa; François-Xavier Briol; Chris J. Oates (CoRR, 2025)