Wang, Ziyu

54 publications

ICLRW 2025 Do Large Language Models Perceive Orderly Number Concepts as Humans? Xuanjie Liu, Cong Zeng, Shengkun Tang, Ziyu Wang, Zhiqiang Xu, Gus Xia

ICML 2025 Efficient Fine-Grained Guidance for Diffusion Model Based Symbolic Music Generation Tingyu Zhu, Haoyu Liu, Ziyu Wang, Zhimin Jiang, Zeyu Zheng

ECML-PKDD 2025 Enhancing Graph Transformers with SNNs and Mutual Information Ziyu Wang

ICML 2025 Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts Yike Yuan, Ziyu Wang, Zihao Huang, Defa Zhu, Xun Zhou, Jingyi Yu, Qiyang Min

AAAI 2025 On Probabilistic Truncation in Privacy-Preserving Machine Learning Lijing Zhou, Bingsheng Zhang, Ziyu Wang, Tianpei Lu, Qingrui Song, Su Zhang, Hongrui Cui, Yu Yu

AISTATS 2025 On Subjective Uncertainty Quantification and Calibration in Natural Language Generation Ziyu Wang, Christopher C. Holmes

ICCV 2025 Synthetic Video Enhances Physical Fidelity in Video Synthesis Qi Zhao, Xingyu Ni, Ziyu Wang, Feng Cheng, Ziyan Yang, Lu Jiang, Bohan Wang

NeurIPS 2025 Unifying Symbolic Music Arrangement: Track-Aware Reconstruction and Structured Tokenization Longshen Ou, Jingwei Zhao, Ziyu Wang, Gus Xia, Qihao Liang, Torin Hopkins, Ye Wang

ICLR 2025 Unsupervised Disentanglement of Content and Style via Variance-Invariance Constraints Yuxuan Wu, Ziyu Wang, Bhiksha Raj, Gus Xia

CVPRW 2024 Affine-Based Deformable Attention and Selective Fusion for Semi-Dense Matching Hongkai Chen, Zixin Luo, Yurun Tian, Xuyang Bai, Ziyu Wang, Lei Zhou, Mingmin Zhen, Tian Fang, David McKinnon, Yanghai Tsin, Long Quan

ICLRW 2024 Are Large Language Models Bayesian? a Martingale Perspective on In-Context Learning Fabian Falck, Ziyu Wang, Christopher C. Holmes

CVPR 2024 Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement Ziyu Wang, Yue Xu, Cewu Lu, Yong-Lu Li

NeurIPS 2024 DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning Weikang Wan, Ziyu Wang, Yufei Wang, Zackory Erickson, David Held

ECCV 2024 Distill Gold from Massive Ores: Bi-Level Data Pruning Towards Efficient Dataset Distillation Yue Xu, Yong-Lu Li, Kaitong Cui, Ziyu Wang, Cewu Lu, Yu-Wing Tai, Chi-Keung Tang

CVPRW 2024 Efflex: Efficient and Flexible Pipeline for Spatio-Temporal Trajectory Graph Modeling and Representation Learning Ming Cheng, Ziyi Zhou, Bowen Zhang, Ziyu Wang, Jiaqi Gan, Ziang Ren, Weiqi Feng, Yi Lyu, Hefan Zhang, Xingjian Diao

NeurIPS 2024 Flow Snapshot Neurons in Action: Deep Neural Networks Generalize to Biological Motion Perception Shuangpeng Han, Ziyu Wang, Mengmi Zhang

ICML 2024 Is In-Context Learning in Large Language Models Bayesian? a Martingale Perspective Fabian Falck, Ziyu Wang, Christopher C. Holmes

NeurIPS 2024 Structured Multi-Track Accompaniment Arrangement via Style Prior Modelling Jingwei Zhao, Gus Xia, Ziyu Wang, Ye Wang

ICLR 2024 Whole-Song Hierarchical Generation of Symbolic Music Using Cascaded Diffusion Models Ziyu Wang, Lejun Min, Gus Xia

UAI 2023 A Constrained Bayesian Approach to Out-of-Distribution Prediction Ziyu Wang, Binjie Yuan, Jiaxun Lu, Bowen Ding, Yunfeng Shao, Qibin Wu, Jun Zhu

CVPR 2023 HumanGen: Generating Human Radiance Fields with Explicit Priors Suyi Jiang, Haoran Jiang, Ziyu Wang, Haimin Luo, Wenzheng Chen, Lan Xu

CVPR 2023 Neural Residual Radiance Fields for Streamably Free-Viewpoint Videos Liao Wang, Qiang Hu, Qihan He, Ziyu Wang, Jingyi Yu, Tinne Tuytelaars, Lan Xu, Minye Wu

NeurIPS 2023 Object-Centric Learning with Cyclic Walks Between Parts and Whole Ziyu Wang, Mike Zheng Shou, Mengmi Zhang

ICML 2022 DynaMixer: A Vision MLP Architecture with Dynamic Mixing Ziyu Wang, Wenhao Jiang, Yiming M Zhu, Li Yuan, Yibing Song, Wei Liu

NeurIPS 2022 Fast Instrument Learning with Faster Rates Ziyu Wang, Yuhao Zhou, Jun Zhu

CVPR 2022 Kubric: A Scalable Dataset Generator Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam Laradji, Hsueh-Ti Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, Cengiz Oztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi

NeurIPSW 2022 On Equivalences Between Weight and Function-Space Langevin Dynamics Ziyu Wang, Yuhao Zhou, Ruqi Zhang, Jun Zhu

CVPR 2022 SWEM: Towards Real-Time Video Object Segmentation with Sequential Weighted Expectation-Maximization Zhihui Lin, Tianyu Yang, Maomao Li, Ziyu Wang, Chun Yuan, Wenhao Jiang, Wei Liu

AISTATS 2021 Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings Qipeng Guo, Zhijing Jin, Ziyu Wang, Xipeng Qiu, Weinan Zhang, Jun Zhu, Zheng Zhang, Wipf David

ICLR 2021 Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization Michael R Zhang, Thomas Paine, Ofir Nachum, Cosmin Paduraru, George Tucker, Ziyu Wang, Mohammad Norouzi

ICLR 2021 Benchmarks for Deep Off-Policy Evaluation Justin Fu, Mohammad Norouzi, Ofir Nachum, George Tucker, Ziyu Wang, Alexander Novikov, Mengjiao Yang, Michael R Zhang, Yutian Chen, Aviral Kumar, Cosmin Paduraru, Sergey Levine, Thomas Paine

NeurIPS 2021 Scalable Quasi-Bayesian Inference for Instrumental Variable Regression Ziyu Wang, Yuhao Zhou, Tongzheng Ren, Jun Zhu

AISTATS 2020 A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models Ziyu Wang, Shuyu Cheng, Li Yueru, Jun Zhu, Bo Zhang

NeurIPS 2020 Critic Regularized Regression Ziyu Wang, Alexander Novikov, Konrad Zolna, Josh S Merel, Jost Tobias Springenberg, Scott E Reed, Bobak Shahriari, Noah Siegel, Caglar Gulcehre, Nicolas Heess, Nando de Freitas

NeurIPS 2020 Further Analysis of Outlier Detection with Deep Generative Models Ziyu Wang, Bin Dai, David P. Wipf, Jun Zhu

NeurIPSW 2020 Further Analysis of Outlier Detection with Deep Generative Models Ziyu Wang, Bin Dai, David Wipf, Jun Zhu

ICLR 2020 Making Efficient Use of Demonstrations to Solve Hard Exploration Problems Tom Le Paine, Caglar Gulcehre, Bobak Shahriari, Misha Denil, Matt Hoffman, Hubert Soyer, Richard Tanburn, Steven Kapturowski, Neil Rabinowitz, Duncan Williams, Gabriel Barth-Maron, Ziyu Wang, Nando de Freitas, Worlds Team

NeurIPS 2020 RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning Caglar Gulcehre, Ziyu Wang, Alexander Novikov, Thomas Paine, Sergio Gómez, Konrad Zolna, Rishabh Agarwal, Josh S Merel, Daniel J Mankowitz, Cosmin Paduraru, Gabriel Dulac-Arnold, Jerry Li, Mohammad Norouzi, Matthew Hoffman, Nicolas Heess, Nando de Freitas

CoRL 2020 Task-Relevant Adversarial Imitation Learning Konrad Zolna, Scott Reed, Alexander Novikov, Sergio Gómez Colmenarejo, David Budden, Serkan Cabi, Misha Denil, Nando de Freitas, Ziyu Wang

ICML 2020 The Usual Suspects? Reassessing Blame for VAE Posterior Collapse Bin Dai, Ziyu Wang, David Wipf

ICLR 2019 Function Space Particle Optimization for Bayesian Neural Networks Ziyu Wang, Tongzheng Ren, Jun Zhu, Bo Zhang

ICLR 2018 Learning an Embedding Space for Transferable Robot Skills Karol Hausman, Jost Tobias Springenberg, Ziyu Wang, Nicolas Heess, Martin Riedmiller

NeurIPS 2018 Playing Hard Exploration Games by Watching YouTube Yusuf Aytar, Tobias Pfaff, David Budden, Thomas Paine, Ziyu Wang, Nando de Freitas

ICML 2017 Parallel Multiscale Autoregressive Density Estimation Scott Reed, Aäron Oord, Nal Kalchbrenner, Sergio Gómez Colmenarejo, Ziyu Wang, Yutian Chen, Dan Belov, Nando Freitas

NeurIPS 2017 Robust Imitation of Diverse Behaviors Ziyu Wang, Josh S Merel, Scott E Reed, Nando de Freitas, Gregory Wayne, Nicolas Heess

ICLR 2017 Sample Efficient Actor-Critic with Experience Replay Ziyu Wang, Victor Bapst, Nicolas Heess, Volodymyr Mnih, Rémi Munos, Koray Kavukcuoglu, Nando de Freitas

CoRL 2017 The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously Serkan Cabi, Sergio Gomez Colmenarejo, Matthew W. Hoffman, Misha Denil, Ziyu Wang, Nando de Freitas

JAIR 2016 Bayesian Optimization in a Billion Dimensions via Random Embeddings Ziyu Wang, Frank Hutter, Masrour Zoghi, David Matheson, Nando de Freitas

ICML 2016 Dueling Network Architectures for Deep Reinforcement Learning Ziyu Wang, Tom Schaul, Matteo Hessel, Hado Hasselt, Marc Lanctot, Nando Freitas

ICCV 2015 Deep Fried Convnets Zichao Yang, Marcin Moczulski, Misha Denil, Nando de Freitas, Alex Smola, Le Song, Ziyu Wang

AISTATS 2014 Bayesian Multi-Scale Optimistic Optimization Ziyu Wang, Babak Shakibi, Lin Jin, Nando de Freitas

ICML 2013 Adaptive Hamiltonian and Riemann Manifold Monte Carlo Ziyu Wang, Shakir Mohamed, Nando Freitas

IJCAI 2013 Bayesian Optimization in High Dimensions via Random Embeddings Ziyu Wang, Masrour Zoghi, Frank Hutter, David Matheson, Nando de Freitas

AISTATS 2012 Adaptive MCMC with Bayesian Optimization Nimalan Mahendran, Ziyu Wang, Firas Hamze, Nando De Freitas