Mingyuan Zhou

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 228

Top Venues

Publications

Yuqi Ding, Yu Ji, Zhang Chen, Mingyuan Zhou, Sing Bing Kang, Jinwei Ye
Polarimetric Helmholtz Stereopsis. IEEE Trans. Pattern Anal. Mach. Intell. 46 (7) (2024)
Xizewen Han, Mingyuan Zhou
Diffusion Boosted Trees. CoRR (2024)
Mingyuan Zhou, Huangjie Zheng, Zhendong Wang, Mingzhang Yin, Hai Huang
Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation. CoRR (2024)
Zhibin Duan, Tiansheng Wen, Yifei Wang, Chen Zhu, Bo Chen, Mingyuan Zhou
Contrastive Factor Analysis. CoRR (2024)
Tianjiao Zhang, Huangjie Zheng, Jiangchao Yao, Xiangfeng Wang, Mingyuan Zhou, Ya Zhang, Yanfeng Wang
Long-tailed Diffusion Models with Oriented Calibration. ICLR (2024)
Huangjie Zheng, Zhendong Wang, Jianbo Yuan, Guanghan Ning, Pengcheng He, Quanzeng You, Hongxia Yang, Mingyuan Zhou
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling. ICLR (2024)
Yuxin Li, Wenchao Chen, Xinyue Hu, Bo Chen, Baolin Sun, Mingyuan Zhou
Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting. ICLR (2024)
Yilin He, Xinyang Liu, Bo Chen, Mingyuan Zhou
Advancing Graph Generation through Beta Diffusion. CoRR (2024)
Yi Gu, Zhendong Wang, Yueqin Yin, Yujia Xie, Mingyuan Zhou
Diffusion-RPO: Aligning Diffusion Models through Relative Preference Optimization. CoRR (2024)
Shujian Zhang, Korawat Tanwisuth, Chengyue Gong, Pengcheng He, Mingyuan Zhou
Switchable Decision: Dynamic Neural Generation Networks. CoRR (2024)
Mingyuan Zhou, Rakib Hyder, Ziwei Xuan, Guojun Qi
UltrAvatar: A Realistic Animatable 3D Avatar Diffusion Model with Authenticity Guided Textures. CoRR (2024)
Chengzhi Wu, Julius Pfrommer, Mingyuan Zhou, Jürgen Beyerer
Self-Supervised Generative-Contrastive Learning of Multi-Modal Euclidean Input for 3D Shape Latent Representations: A Dynamic Switching Approach. IEEE Trans. Multim. 26 (2024)
Xuxi Chen, Zhendong Wang, Daouda Sow, Junjie Yang, Tianlong Chen, Yingbin Liang, Mingyuan Zhou, Zhangyang Wang
Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization. CoRR (2024)
Yueqin Yin, Zhendong Wang, Yi Gu, Hai Huang, Weizhu Chen, Mingyuan Zhou
Relative Preference Optimization: Enhancing LLM Alignment through Contrasting Responses across Identical and Diverse Prompts. CoRR (2024)
Tianyu Chen, Zhendong Wang, Mingyuan Zhou
Diffusion Policies creating a Trust Region for Offline Reinforcement Learning. CoRR (2024)
Mingyuan Zhou, Zhendong Wang, Huangjie Zheng, Hai Huang
Long and Short Guidance in Score identity Distillation for One-Step Text-to-Image Generation. CoRR (2024)
Ruiying Lu, Bo Chen, Dandan Guo, Dongsheng Wang, Mingyuan Zhou
Hierarchical Topic-Aware Contextualized Transformers. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Shentao Yang, Tianqi Chen, Mingyuan Zhou
A Dense Reward View on Aligning Text-to-Image Diffusion with Preference. CoRR (2024)
Yueqin Yin, Zhendong Wang, Yujia Xie, Weizhu Chen, Mingyuan Zhou
Self-Augmented Preference Optimization: Off-Policy Paradigms for Language Model Alignment. CoRR (2024)
Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang Wang, Weizhu Chen, Mingyuan Zhou
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models. CoRR (2023)
Tianqi Chen, Mingyuan Zhou
Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling. CoRR (2023)
Mohammadreza Armandpour, Huangjie Zheng, Ali Sadeghian, Amir Sadeghian, Mingyuan Zhou
Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond. CoRR (2023)
Korawat Tanwisuth, Shujian Zhang, Huangjie Zheng, Pengcheng He, Mingyuan Zhou
POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models. CoRR (2023)
Korawat Tanwisuth, Shujian Zhang, Huangjie Zheng, Pengcheng He, Mingyuan Zhou
POUF: Prompt-Oriented Unsupervised Fine-tuning for Large Pre-trained Models. ICML (2023)
Miaoge Li, Dongsheng Wang, Xinyang Liu, Zequn Zeng, Ruiying Lu, Bo Chen, Mingyuan Zhou
PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification. CoRR (2023)
Yishi Xu, Jianqiao Sun, Yudi Su, Xinyang Liu, Zhibin Duan, Bo Chen, Mingyuan Zhou
Context-guided Embedding Adaptation for Effective Topic Modeling in Low-Resource Regimes. NeurIPS (2023)
Yihao Feng, Shentao Yang, Shujian Zhang, Jianguo Zhang, Caiming Xiong, Mingyuan Zhou, Huan Wang
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems. ICLR (2023)
Zhendong Wang, Yifan Jiang, Yadong Lu, Yelong Shen, Pengcheng He, Weizhu Chen, Zhangyang (Atlas) Wang, Mingyuan Zhou
In-Context Learning Unlocked for Diffusion Models. NeurIPS (2023)
Zhibin Duan, Zhiyi Lv, Chaojie Wang, Bo Chen, Bo An, Mingyuan Zhou
Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory. NeurIPS (2023)
Tianqi Chen, Yongfei Liu, Zhendong Wang, Jianbo Yuan, Quanzeng You, Hongxia Yang, Mingyuan Zhou
Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts. CoRR (2023)
Zhixin Wang, Xiaoyun Zhang, Ziying Zhang, Huangjie Zheng, Mingyuan Zhou, Ya Zhang, Yanfeng Wang
DR2: Diffusion-based Robust Degradation Remover for Blind Face Restoration. CoRR (2023)
Yiming Qin, Huangjie Zheng, Jiangchao Yao, Mingyuan Zhou, Ya Zhang
Class-Balancing Diffusion Models. CVPR (2023)
Yiming Qin, Huangjie Zheng, Jiangchao Yao, Mingyuan Zhou, Ya Zhang
Class-Balancing Diffusion Models. CoRR (2023)
Yuxin Li, Wenchao Chen, Bo Chen, Dongsheng Wang, Long Tian, Mingyuan Zhou
Prototype-oriented unsupervised anomaly detection for multivariate time series. ICML (2023)
Xinyang Liu, Dongsheng Wang, Miaoge Li, Zhibin Duan, Yishi Xu, Bo Chen, Mingyuan Zhou
Patch-Token Aligned Bayesian Prompt Learning for Vision-Language Models. CoRR (2023)
Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang Wang, Weizhu Chen, Mingyuan Zhou
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models. NeurIPS (2023)
Zhendong Wang, Yifan Jiang, Yadong Lu, Yelong Shen, Pengcheng He, Weizhu Chen, Zhangyang Wang, Mingyuan Zhou
In-Context Learning Unlocked for Diffusion Models. CoRR (2023)
Mingyuan Zhou, Tianqi Chen, Zhendong Wang, Huangjie Zheng
Beta Diffusion. NeurIPS (2023)
Zhangsihao Yang, Mingyuan Zhou, Mengyi Shan, Bingbing Wen, Ziwei Xuan, Mitch Hill, Junjie Bai, Guo-Jun Qi, Yalin Wang
OmniMotionGPT: Animal Motion Generation with Limited Data. CoRR (2023)
Tianqi Chen, Mingyuan Zhou
Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling. ICML (2023)
Zhibin Duan, Xinyang Liu, Yudi Su, Yishi Xu, Bo Chen, Mingyuan Zhou
Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process. ICML (2023)
Chaojie Wang, Bo Chen, Zhibin Duan, Wenchao Chen, Hao Zhang, Mingyuan Zhou
Generative Text Convolutional Neural Network for Hierarchical Document Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders. ICLR (2023)
Yucheng Wang, Mingyuan Zhou, Yu Sun, Xiaoning Qian
Uncertainty-aware Unsupervised Video Hashing. AISTATS (2023)
Mingyuan Zhou, Tianqi Chen, Zhendong Wang, Huangjie Zheng
Beta Diffusion. CoRR (2023)
Zhendong Wang, Ruijiang Gao, Mingzhang Yin, Mingyuan Zhou, David M. Blei
Probabilistic Conformal Prediction Using Conditional Random Samples. AISTATS (2023)
Huangjie Zheng, Zhendong Wang, Jianbo Yuan, Guanghan Ning, Pengcheng He, Quanzeng You, Hongxia Yang, Mingyuan Zhou
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling. CoRR (2023)
Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor W. Tsang, Jingren Zhou, Mingyuan Zhou
Contrastive Attraction and Contrastive Repulsion for Representation Learning. Trans. Mach. Learn. Res. 2023 (2023)
Zhendong Wang, Jonathan J. Hunt, Mingyuan Zhou
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning. ICLR (2023)
Shentao Yang, Shujian Zhang, Congying Xia, Yihao Feng, Caiming Xiong, Mingyuan Zhou
Preference-grounded Token-level Guidance for Language Model Fine-tuning. NeurIPS (2023)
Miaoge Li, Dongsheng Wang, Xinyang Liu, Zequn Zeng, Ruiying Lu, Bo Chen, Mingyuan Zhou
PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification. ICCV (2023)
Shentao Yang, Shujian Zhang, Congying Xia, Yihao Feng, Caiming Xiong, Mingyuan Zhou
Preference-grounded Token-level Guidance for Language Model Fine-tuning. CoRR (2023)
Korawat Tanwisuth, Shujian Zhang, Pengcheng He, Mingyuan Zhou
A Prototype-Oriented Clustering for Domain Shift with Source Privacy. CoRR (2023)
Shujian Zhang, Chengyue Gong, Lemeng Wu, Xingchao Liu, Mingyuan Zhou
AutoML-GPT: Automatic Machine Learning with GPT. CoRR (2023)
Zhixin Wang, Ziying Zhang, Xiaoyun Zhang, Huangjie Zheng, Mingyuan Zhou, Ya Zhang, Yanfeng Wang
DR2: Diffusion-Based Robust Degradation Remover for Blind Face Restoration. CVPR (2023)
Hao Zhang, Chaojie Wang, Zhengjue Wang, Zhibin Duan, Bo Chen, Mingyuan Zhou, Ricardo Henao, Lawrence Carin
Learning Hierarchical Document Graphs From Multilevel Sentence Relations. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Yihao Feng, Shentao Yang, Shujian Zhang, Jianguo Zhang, Caiming Xiong, Mingyuan Zhou, Huan Wang
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems. CoRR (2023)
Chengzhi Wu, Julius Pfrommer, Mingyuan Zhou, Jürgen Beyerer
Generative-Contrastive Learning for Self-Supervised Latent Representations of 3D Shapes from Multi-Modal Euclidean Input. CoRR (2023)
Zhendong Wang, Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
Diffusion-GAN: Training GANs with Diffusion. ICLR (2023)
Dandan Guo, Long Tian, He Zhao, Mingyuan Zhou, Hongyuan Zha
Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport. NeurIPS (2022)
Shentao Yang, Zhendong Wang, Huangjie Zheng, Yihao Feng, Mingyuan Zhou
A Regularized Implicit Policy for Offline Reinforcement Learning. CoRR (2022)
Dongsheng Wang, Yishi Xu, Miaoge Li, Zhibin Duan, Chaojie Wang, Bo Chen, Mingyuan Zhou
Knowledge-Aware Bayesian Deep Topic Model. CoRR (2022)
Xizewen Han, Huangjie Zheng, Mingyuan Zhou
CARD: Classification and Regression Diffusion Models. CoRR (2022)
Dandan Guo, Long Tian, Minghe Zhang, Mingyuan Zhou, Hongyuan Zha
Learning Prototype-oriented Set Representations for Meta-Learning. ICLR (2022)
Haoang Chi, Feng Liu, Wenjing Yang, Long Lan, Tongliang Liu, Bo Han, Gang Niu, Mingyuan Zhou, Masashi Sugiyama
Meta Discovery: Learning to Discover Novel Classes given Very Limited Data. ICLR (2022)
Dongsheng Wang, Chaojie Wang, Bo Chen, Mingyuan Zhou
Ordinal Graph Gamma Belief Network for Social Recommender Systems. CoRR (2022)
Dongsheng Wang, Dandan Guo, He Zhao, Huangjie Zheng, Korawat Tanwisuth, Bo Chen, Mingyuan Zhou
Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings. ICLR (2022)
Zhendong Wang, Jonathan J. Hunt, Mingyuan Zhou
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning. CoRR (2022)
Chaojie Wang, Bo Chen, Sucheng Xiao, Zhengjue Wang, Hao Zhang, Penghui Wang, Ning Han, Mingyuan Zhou
Multimodal Weibull Variational Autoencoder for Jointly Modeling Image-Text Data. IEEE Trans. Cybern. 52 (10) (2022)
Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
Mixing and Shifting: Exploiting Global and Local Dependencies in Vision MLPs. CoRR (2022)
Shujian Zhang, Chengyue Gong, Xingchao Liu, Pengcheng He, Weizhu Chen, Mingyuan Zhou
ALLSH: Active Learning Guided by Local Sensitivity and Hardness. NAACL-HLT (Findings) (2022)
Zhendong Wang, Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
Diffusion-GAN: Training GANs with Diffusion. CoRR (2022)
Dandan Guo, Ruiying Lu, Bo Chen, Zequn Zeng, Mingyuan Zhou
Matching Visual Features to Hierarchical Semantic Topics for Image Paragraph Captioning. Int. J. Comput. Vis. 130 (8) (2022)
Shujian Zhang, Chengyue Gong, Xingchao Liu, Pengcheng He, Weizhu Chen, Mingyuan Zhou
ALLSH: Active Learning Guided by Local Sensitivity and Hardness. CoRR (2022)
Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
Truncated Diffusion Probabilistic Models. CoRR (2022)
Dandan Guo, Zhuo Li, Meixi Zheng, He Zhao, Mingyuan Zhou, Hongyuan Zha
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification. NeurIPS (2022)
Dandan Guo, Long Tian, He Zhao, Mingyuan Zhou, Hongyuan Zha
Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport. CoRR (2022)
Yilin He, Chaojie Wang, Hao Zhang, Bo Chen, Mingyuan Zhou
A Variational Edge Partition Model for Supervised Graph Representation Learning. NeurIPS (2022)
Dongsheng Wang, Dandan Guo, He Zhao, Huangjie Zheng, Korawat Tanwisuth, Bo Chen, Mingyuan Zhou
Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings. CoRR (2022)
Shentao Yang, Yihao Feng, Shujian Zhang, Mingyuan Zhou
Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning. CoRR (2022)
Yewen Li, Chaojie Wang, Zhibin Duan, Dongsheng Wang, Bo Chen, Bo An, Mingyuan Zhou
Alleviating "Posterior Collapse" in Deep Topic Models via Policy Gradient. NeurIPS (2022)
Shentao Yang, Shujian Zhang, Yihao Feng, Mingyuan Zhou
A Unified Framework for Alternating Offline Model Training and Policy Learning. NeurIPS (2022)
Yucheng Wang, Mengmeng Gu, Mingyuan Zhou, Xiaoning Qian
Attention-Based Deep Bayesian Counting For AI-Augmented Agriculture. SenSys (2022)
Wenchao Chen, Long Tian, Bo Chen, Liang Dai, Zhibin Duan, Mingyuan Zhou
Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection. ICML (2022)
Dandan Guo, Zhuo Li, Meixi Zheng, He Zhao, Mingyuan Zhou, Hongyuan Zha
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification. CoRR (2022)
Wenchao Chen, Bo Chen, Yicheng Liu, Chaojie Wang, Xiaojun Peng, Hongwei Liu, Mingyuan Zhou
Infinite Switching Dynamic Probabilistic Network With Bayesian Nonparametric Learning. IEEE Trans. Signal Process. 70 (2022)
Xizewen Han, Huangjie Zheng, Mingyuan Zhou
CARD: Classification and Regression Diffusion Models. NeurIPS (2022)
Yilin He, Chaojie Wang, Hao Zhang, Bo Chen, Mingyuan Zhou
A Variational Edge Partition Model for Supervised Graph Representation Learning. CoRR (2022)
Zhendong Wang, Ruijiang Gao, Mingzhang Yin, Mingyuan Zhou, David M. Blei
Probabilistic Conformal Prediction Using Conditional Random Samples. CoRR (2022)
Dongsheng Wang, Yishi Xu, Miaoge Li, Zhibin Duan, Chaojie Wang, Bo Chen, Mingyuan Zhou
Knowledge-Aware Bayesian Deep Topic Model. NeurIPS (2022)
Yishi Xu, Dongsheng Wang, Bo Chen, Ruiying Lu, Zhibin Duan, Mingyuan Zhou
HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding. CoRR (2022)
Shentao Yang, Yihao Feng, Shujian Zhang, Mingyuan Zhou
Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning. ICML (2022)
Shentao Yang, Shujian Zhang, Yihao Feng, Mingyuan Zhou
A Unified Framework for Alternating Offline Model Training and Policy Learning. CoRR (2022)
Zhibin Duan, Yishi Xu, Jianqiao Sun, Bo Chen, Wenchao Chen, Chaojie Wang, Mingyuan Zhou
Bayesian Deep Embedding Topic Meta-Learner. ICML (2022)
Yishi Xu, Dongsheng Wang, Bo Chen, Ruiying Lu, Zhibin Duan, Mingyuan Zhou
HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding. NeurIPS (2022)
Alek Dimitriev, Mingyuan Zhou
CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator. NeurIPS (2021)
Zhibin Duan, Dongsheng Wang, Bo Chen, Chaojie Wang, Wenchao Chen, Yewen Li, Jie Ren, Mingyuan Zhou
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network. ICML (2021)
Rahi Kalantari, Mingyuan Zhou
Graph Gamma Process Linear Dynamical Systems. AISTATS (2021)
Alek Dimitriev, Mingyuan Zhou
CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator. CoRR (2021)
Liangjian Wen, Haoli Bai, Lirong He, Yiji Zhou, Mingyuan Zhou, Zenglin Xu
Gradient estimation of information measures in deep learning. Knowl. Based Syst. 224 (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mingyuan Zhou