Ziyu Wang

Deep Incomplete Multi-View Clustering via Hierarchical Imputation and Alignment AAAI 2026 KoCo-Bench: Can Large Language Models Leverage Domain Knowledge in Software Development? ACL 2026 ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation RSS 2025 On Probabilistic Truncation in Privacy-preserving Machine Learning AAAI 2025 Unsupervised Disentanglement of Content and Style via Variance-Invariance Constraints ICLR 2025 Efficient Fine-Grained Guidance for Diffusion Model Based Symbolic Music Generation ICML 2025 On Subjective Uncertainty Quantification and Calibration in Natural Language Generation AISTATS 2025 Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts ICML 2025 Synthetic Video Enhances Physical Fidelity in Video Synthesis ICCV 2025 Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective ICML 2024 Whole-Song Hierarchical Generation of Symbolic Music Using Cascaded Diffusion Models ICLR 2024 Flow Snapshot Neurons in Action: Deep Neural Networks Generalize to Biological Motion Perception NIPS 2024 Structured Multi-Track Accompaniment Arrangement via Style Prior Modelling NIPS 2024 DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning NIPS 2024 PROC2PDDL: Open-Domain Planning Representations from Texts ACL 2024 Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement CVPR 2024 Distill Gold from Massive Ores: Bi-level Data Pruning towards Efficient Dataset Distillation ECCV 2024 Object-centric Learning with Cyclic Walks between Parts and Whole NIPS 2023 Neural Residual Radiance Fields for Streamably Free-Viewpoint Videos CVPR 2023 HumanGen: Generating Human Radiance Fields With Explicit Priors CVPR 2023 A constrained Bayesian approach to out-of-distribution prediction UAI 2023 SWEM: Towards Real-Time Video Object Segmentation With Sequential Weighted Expectation-Maximization CVPR 2022 Fast Instrument Learning with Faster Rates NIPS 2022 DynaMixer: A Vision MLP Architecture with Dynamic Mixing ICML 2022 Kubric: A Scalable Dataset Generator CVPR 2022 Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization ICLR 2021 Benchmarks for Deep Off-Policy Evaluation ICLR 2021 Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings AISTATS 2021 Scalable Quasi-Bayesian Inference for Instrumental Variable Regression NIPS 2021 Task-Relevant Adversarial Imitation Learning CORL 2020 RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning NIPS 2020 Critic Regularized Regression NIPS 2020 Further Analysis of Outlier Detection with Deep Generative Models NIPS 2020 A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models AISTATS 2020 Making Efficient Use of Demonstrations to Solve Hard Exploration Problems ICLR 2020 The Usual Suspects? Reassessing Blame for VAE Posterior Collapse ICML 2020 Scaling data-driven robotics with reward sketching and batch reinforcement learning RSS 2020 Function Space Particle Optimization for Bayesian Neural Networks ICLR 2019 Learning an Embedding Space for Transferable Robot Skills ICLR 2018 Reinforcement and Imitation Learning for Diverse Visuomotor Skills RSS 2018 Playing hard exploration games by watching YouTube NIPS 2018 Parallel Multiscale Autoregressive Density Estimation ICML 2017 The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously CORL 2017 Robust Imitation of Diverse Behaviors NIPS 2017 Dueling Network Architectures for Deep Reinforcement Learning ICML 2016 Deep Fried Convnets ICCV 2015 Bayesian Multi-Scale Optimistic Optimization AISTATS 2014 Bayesian Optimization in High Dimensions via Random Embeddings IJCAI 2013 Adaptive Hamiltonian and Riemann Manifold Monte Carlo ICML 2013 Adaptive MCMC with Bayesian Optimization AISTATS 2012