Mingtian Zhang

37 papers A* 10A 2Journal 25

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Efficient and Privacy-Preserving Ride Matching Over Road Networks Against Malicious ORH Server. IEEE Trans. Inf. Forensics Secur. Mingtian Zhang, Anjia Yang, Jian Weng, Min-Rong Chen, Huang Zeng, Yi Liu, Xiaoli Liu, Zhihua Xia
2025	J	`jnl`	GaussianHeadTalk: Wobble-Free 3D Talking Heads with Audio Driven Gaussian Splatting. CoRR Madhav Agarwal, Mingtian Zhang, Laura Sevilla-Lara, Steven McDonagh
2025	A*	`conf`	Improving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matching. ICLR Zijing Ou, Mingtian Zhang, Andi Zhang, Tim Z. Xiao, Yingzhen Li, David Barber
2025	J	`jnl`	Towards Training One-Step Diffusion Models Without Distillation. CoRR Mingtian Zhang, Jiajun He, Wenlin Chen, Zijing Ou, José Miguel Hernández-Lobato, Bernhard Schölkopf, David Barber
2025	A	`conf`	Training Neural Samplers with Reverse Diffusive KL Divergence. AISTATS Jiajun He, Wenlin Chen, Mingtian Zhang, David Barber, José Miguel Hernández-Lobato
2025	J	`jnl`	VarDiU: A Variational Diffusive Upper Bound for One-Step Diffusion Distillation. CoRR Leyang Wang, Mingtian Zhang, Zijing Ou, David Barber
2024	A*	`conf`	Active Preference Learning for Large Language Models. ICML William Muldrew, Peter Hayes, Mingtian Zhang, David Barber
2024	J	`jnl`	Active Preference Learning for Large Language Models. CoRR William Muldrew, Peter Hayes, Mingtian Zhang, David Barber
2024	A*	`conf`	Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective. NeurIPS Andi Zhang, Mingtian Zhang, Damon Wischik
2024	J	`jnl`	Diffusion Model With Optimal Covariance Matching. CoRR Zijing Ou, Mingtian Zhang, Andi Zhang, Tim Z. Xiao, Yingzhen Li, David Barber
2024	A*	`conf`	Diffusive Gibbs Sampling. ICML Wenlin Chen, Mingtian Zhang, Brooks Paige, José Miguel Hernández-Lobato, David Barber
2024	J	`jnl`	Diffusive Gibbs Sampling. CoRR Wenlin Chen, Mingtian Zhang, Brooks Paige, José Miguel Hernández-Lobato, David Barber
2024	J	`jnl`	Mafin: Enhancing Black-Box Embeddings with Model Augmented Fine-Tuning. CoRR Mingtian Zhang, Shawn Lan, Peter Hayes, David Barber
2024	A*	`conf`	Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling. NeurIPS Jake Cunningham, Giorgio Giannone, Mingtian Zhang, Marc Peter Deisenroth
2024	J	`jnl`	Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling. CoRR Harry Jake Cunningham, Giorgio Giannone, Mingtian Zhang, Marc Peter Deisenroth
2024	J	`jnl`	Training Neural Samplers with Reverse Diffusive KL Divergence. CoRR Jiajun He, Wenlin Chen, Mingtian Zhang, David Barber, José Miguel Hernández-Lobato
2023	J	`jnl`	Incorporating Neuro-Inspired Adaptability for Continual Learning in Artificial Intelligence. CoRR Liyuan Wang, Xingxing Zhang, Qian Li, Mingtian Zhang, Hang Su, Jun Zhu, Yi Zhong
2023	J	`jnl`	Incorporating neuro-inspired adaptability for continual learning in artificial intelligence. Nat. Mac. Intell. Liyuan Wang, Xingxing Zhang, Qian Li, Mingtian Zhang, Hang Su, Jun Zhu, Yi Zhong
2023	A*	`conf`	Moment Matching Denoising Gibbs Sampling. NeurIPS Mingtian Zhang, Alex Hawkins-Hooker, Brooks Paige, David Barber
2023	J	`jnl`	Moment Matching Denoising Gibbs Sampling. CoRR Mingtian Zhang, Alex Hawkins-Hooker, Brooks Paige, David Barber
2023	A	`conf`	Spread Flows for Manifold Modelling. AISTATS Mingtian Zhang, Yitong Sun, Chen Zhang, Steven McDonagh
2022	A*	`conf`	Generalization Gap in Amortized Inference. NeurIPS Mingtian Zhang, Peter Hayes, David Barber
2022	J	`jnl`	Generalization Gap in Amortized Inference. CoRR Mingtian Zhang, Peter Hayes, David Barber
2022	J	`jnl`	Improving VAE-based Representation Learning. CoRR Mingtian Zhang, Tim Z. Xiao, Brooks Paige, David Barber
2022	J	`jnl`	Integrated Weak Learning. CoRR Peter Hayes, Mingtian Zhang, Raza Habib, Jordan Burgess, Emine Yilmaz, David Barber
2022	J	`jnl`	Out-of-Distribution Detection with Class Ratio Estimation. CoRR Mingtian Zhang, Andi Zhang, Tim Z. Xiao, Yitong Sun, Steven McDonagh
2022	J	`jnl`	Parallel Neural Local Lossless Compression. CoRR Mingtian Zhang, James Townsend, Ning Kang, David Barber
2022	J	`jnl`	Towards Healing the Blindness of Score Matching. CoRR Mingtian Zhang, Oscar Key, Peter Hayes, David Barber, Brooks Paige, François-Xavier Briol
2021	A*	`conf`	AFEC: Active Forgetting of Negative Transfer in Continual Learning. NeurIPS Liyuan Wang, Mingtian Zhang, Zhongfan Jia, Qian Li, Chenglong Bao, Kaisheng Ma, Jun Zhu, Yi Zhong
2021	J	`jnl`	AFEC: Active Forgetting of Negative Transfer in Continual Learning. CoRR Liyuan Wang, Mingtian Zhang, Zhongfan Jia, Qian Li, Chenglong Bao, Kaisheng Ma, Jun Zhu, Yi Zhong
2021	J	`jnl`	Flow Based Models For Manifold Data. CoRR Mingtian Zhang, Yitong Sun, Steven McDonagh, Chen Zhang
2021	A*	`conf`	On the Out-of-distribution Generalization of Probabilistic Image Modelling. NeurIPS Mingtian Zhang, Andi Zhang, Steven McDonagh
2021	J	`jnl`	On the Out-of-distribution Generalization of Probabilistic Image Modelling. CoRR Mingtian Zhang, Andi Zhang, Steven McDonagh
2020	A*	`conf`	Spread Divergence. ICML Mingtian Zhang, Peter Hayes, Thomas Bird, Raza Habib, David Barber
2019	J	`jnl`	Variational f-divergence Minimization. CoRR Mingtian Zhang, Thomas Bird, Raza Habib, Tianlin Xu, David Barber
2019	J	`jnl`	Wasserstein Robust Reinforcement Learning. CoRR Mohammed Amin Abdullah, Hang Ren, Haitham Bou-Ammar, Vladimir Milenkovic, Rui Luo, Mingtian Zhang, Jun Wang
2018	J	`jnl`	Spread Divergences. CoRR David Barber, Mingtian Zhang, Raza Habib, Thomas Bird