Mingyuan Zhou - RankMe

318 papers A* 100A 18B 2Misc 6Journal 176Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Mitigating Reward Hacking in RLHF via Bayesian Non-negative Reward Modeling. CoRR Zhibin Duan, Guowei Rong, Zhuo Li, Bo Chen, Mingyuan Zhou, Dandan Guo
2026	J	`jnl`	REAL: Regression-Aware Reinforcement Learning for LLM-as-a-Judge. CoRR Yasi Zhang, Tianyu Chen, Mingyuan Zhou, Oscar Leong, Ying Nian Wu, Michal Lukasik
2025	J	`jnl`	A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation. CoRR Xinran Song, Tianyu Chen, Mingyuan Zhou
2025	A*	`conf`	Advancing Graph Generation through Beta Diffusion. ICLR Xinyang Liu, Yilin He, Bo Chen, Mingyuan Zhou
2025	A*	`conf`	Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step. ICLR Mingyuan Zhou, Huangjie Zheng, Yi Gu, Zhendong Wang, Hai Huang
2025	J	`jnl`	Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling. CoRR Huangjie Zheng, Shansan Gong, Ruixiang Zhang, Tianrong Chen, Jiatao Gu, Mingyuan Zhou, Navdeep Jaitly, Yizhe Zhang
2025	J	`jnl`	Controllable diffusion-based generation for multi-channel biological data. CoRR Haoran Zhang, Mingyuan Zhou, Wesley Tansey
2025	J	`jnl`	DLM-One: Diffusion Language Models for One-Step Sequence Generation. CoRR Tianqi Chen, Shujian Zhang, Mingyuan Zhou
2025	A*	`conf`	DRL: Decomposed Representation Learning for Tabular Anomaly Detection. ICLR Hangting Ye, He Zhao, Wei Fan, Mingyuan Zhou, Dandan Guo, Yi Chang
2025	J	`jnl`	Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation. CoRR Tianyu Chen, Yasi Zhang, Zhendong Wang, Ying Nian Wu, Oscar Leong, Mingyuan Zhou
2025	J	`jnl`	Distilled Protein Backbone Generation. CoRR Liyang Xie, Haoran Zhang, Zhendong Wang, Wesley Tansey, Mingyuan Zhou
2025	J	`jnl`	Diverse Condensed Data Generation via Class Preserving Distribution Matching. Trans. Mach. Learn. Res. Dandan Guo, Zhuo Li, He Zhao, Mingyuan Zhou, Hongyuan Zha
2025	J	`jnl`	EdiVal-Agent: An Object-Centric Framework for Automated, Scalable, Fine-Grained Evaluation of Multi-Turn Editing. CoRR Tianyu Chen, Yasi Zhang, Zhi Zhang, Peiyu Yu, Shu Wang, Zhendong Wang, Kevin Lin, Xiaofei Wang, Zhengyuan Yang, Linjie Li, Chung-Ching Lin, Jianwen Xie, Oscar Leong, Lijuan Wang, Ying Nian Wu, Mingyuan Zhou
2025	J	`jnl`	Enhancing Uncertainty Estimation and Interpretability via Bayesian Non-negative Decision Layer. CoRR Xinyue Hu, Zhibin Duan, Bo Chen, Mingyuan Zhou
2025	A*	`conf`	Enhancing Uncertainty Estimation and Interpretability with Bayesian Non-negative Decision Layer. ICLR Xinyue Hu, Zhibin Duan, Bo Chen, Mingyuan Zhou
2025	A*	`conf`	FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors. CVPR Changlong Shi, He Zhao, Bingjie Zhang, Mingyuan Zhou, Dandan Guo, Yi Chang
2025	J	`jnl`	FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors. CoRR Changlong Shi, He Zhao, Bingjie Zhang, Mingyuan Zhou, Dandan Guo, Yi Chang
2025	J	`jnl`	Few-Step Diffusion via Score identity Distillation. CoRR Mingyuan Zhou, Yi Gu, Zhendong Wang
2025	J	`jnl`	Generative Model Inversion Through the Lens of the Manifold Hypothesis. CoRR Xiong Peng, Bo Han, Fengfei Yu, Tongliang Liu, Feng Liu, Mingyuan Zhou
2025	A*	`conf`	Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation. ICLR Mingyuan Zhou, Zhendong Wang, Huangjie Zheng, Hai Huang
2025	J	`jnl`	Improving Data Efficiency for LLM Reinforcement Fine-tuning Through Difficulty-targeted Online Data Selection and Rollout Replay. CoRR Yifan Sun, Jingyan Shen, Yibin Wang, Tianyu Chen, Zhendong Wang, Mingyuan Zhou, Huan Zhang
2025	J	`jnl`	InfLVG: Reinforce Inference-Time Consistent Long Video Generation with GRPO. CoRR Xueji Fang, Liyuan Ma, Zhiyang Chen, Mingyuan Zhou, Guo-Jun Qi
2025	—	`conf`	KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding. ACL (Findings) Zhangchen Xu, Yang Liu, Yueqin Yin, Mingyuan Zhou, Radha Poovendran
2025	J	`jnl`	KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding. CoRR Zhangchen Xu, Yang Liu, Yueqin Yin, Mingyuan Zhou, Radha Poovendran
2025	J	`jnl`	Mechanical in-sensor computing: a programmable meta-sensor for structural damage classification without external electronic power. CoRR Tingpeng Zhang, Xuzhang Peng, Mingyuan Zhou, Guobiao Hu, Zhilu Lai
2025	J	`jnl`	NeuralRemaster: Phase-Preserving Diffusion for Structure-Aligned Generation. CoRR Yu Zeng, Charles Ochoa, Mingyuan Zhou, Vishal M. Patel, Vitor Guizilini, Rowan McAllister
2025	A*	`conf`	OmiAD: One-Step Adaptive Masked Diffusion Model for Multi-class Anomaly Detection via Adversarial Distillation. ICML Yaoxuan Feng, Wenchao Chen, Yuxin Li, Bo Chen, Yubiao Wang, Zixuan Zhao, Hongwei Liu, Mingyuan Zhou
2025	A*	`conf`	One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation. ICML Zhendong Wang, Max Li, Ajay Mandlekar, Zhenjia Xu, Jiaojiao Fan, Yashraj Narang, Linxi Fan, Yuke Zhu, Yogesh Balaji, Mingyuan Zhou, Ming-Yu Liu, Yu Zeng
2025	J	`jnl`	Reconstructing Multi-Scale Physical Fields from Extremely Sparse Measurements with an Autoencoder-Diffusion Cascade. CoRR Letian Yi, Tingpeng Zhang, Mingyuan Zhou, Guannan Wang, Quanke Su, Zhilu Lai
2025	J	`jnl`	Restoration Score Distillation: From Corrupted Diffusion Pretraining to One-Step High-Quality Generation. CoRR Yasi Zhang, Tianyu Chen, Zhendong Wang, Ying Nian Wu, Mingyuan Zhou, Oscar Leong
2025	J	`jnl`	Score Distillation of Flow Matching Models. CoRR Mingyuan Zhou, Yi Gu, Huangjie Zheng, Liangchen Song, Guande He, Yizhe Zhang, Wenze Hu, Yinfei Yang
2025	A*	`conf`	Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models. ICLR Tianqi Chen, Shujian Zhang, Mingyuan Zhou
2025	J	`jnl`	Segmenting Text and Learning Their Rewards for Improved RLHF in Language Model. CoRR Yueqin Yin, Shentao Yang, Yujia Xie, Ziyi Yang, Yuting Sun, Hany Hassan Awadalla, Weizhu Chen, Mingyuan Zhou
2025	J	`jnl`	Segmenting Text and Learning Their Rewards for Improved RLHF in Language Model. Trans. Mach. Learn. Res. Yueqin Yin, Shentao Yang, Yujia Xie, Ziyi Yang, Yuting Sun, Hany Hassan Awadalla, Weizhu Chen, Mingyuan Zhou
2025	J	`jnl`	Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion. CoRR Xun Huang, Zhengqi Li, Guande He, Mingyuan Zhou, Eli Shechtman
2024	A*	`conf`	A Dense Reward View on Aligning Text-to-Image Diffusion with Preference. ICML Shentao Yang, Tianqi Chen, Mingyuan Zhou
2024	J	`jnl`	A Dense Reward View on Aligning Text-to-Image Diffusion with Preference. CoRR Shentao Yang, Tianqi Chen, Mingyuan Zhou
2024	J	`jnl`	A Non-negative VAE:the Generalized Gamma Belief Network. CoRR Zhibin Duan, Tiansheng Wen, Muyao Wang, Bo Chen, Mingyuan Zhou
2024	J	`jnl`	Advancing Graph Generation through Beta Diffusion. CoRR Yilin He, Xinyang Liu, Bo Chen, Mingyuan Zhou
2024	J	`jnl`	Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step. CoRR Mingyuan Zhou, Huangjie Zheng, Yi Gu, Zhendong Wang, Hai Huang
2024	J	`jnl`	Contrastive Factor Analysis. CoRR Zhibin Duan, Tiansheng Wen, Yifei Wang, Chen Zhu, Bo Chen, Mingyuan Zhou
2024	J	`jnl`	Diffusion Boosted Trees. CoRR Xizewen Han, Mingyuan Zhou
2024	A*	`conf`	Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning. NeurIPS Tianyu Chen, Zhendong Wang, Mingyuan Zhou
2024	J	`jnl`	Diffusion Policies creating a Trust Region for Offline Reinforcement Learning. CoRR Tianyu Chen, Zhendong Wang, Mingyuan Zhou
2024	J	`jnl`	Diffusion-RPO: Aligning Diffusion Models through Relative Preference Optimization. CoRR Yi Gu, Zhendong Wang, Yueqin Yin, Yujia Xie, Mingyuan Zhou
2024	J	`jnl`	Disentangled Generative Graph Representation Learning. CoRR Xinyue Hu, Zhibin Duan, Xinyang Liu, Yuxin Li, Bo Chen, Mingyuan Zhou
2024	J	`jnl`	Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization. CoRR Tianyu Chen, Zhendong Wang, Mingyuan Zhou
2024	J	`jnl`	Hashing with Uncertainty Quantification via Sampling-based Hypothesis Testing. Trans. Mach. Learn. Res. Yucheng Wang, Mingyuan Zhou, Xiaoning Qian
2024	J	`jnl`	Hierarchical Topic-Aware Contextualized Transformers. IEEE ACM Trans. Audio Speech Lang. Process. Ruiying Lu, Bo Chen, Dandan Guo, Dongsheng Wang, Mingyuan Zhou
2024	A*	`conf`	Improving Unsupervised Hierarchical Representation With Reinforcement Learning. CVPR Ruyi An, Yewen Li, Xu He, Pengjie Gu, Mengchen Zhao, Dong Li, Jianye Hao, Chaojie Wang, Bo An, Mingyuan Zhou
2024	A*	`conf`	Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling. ICLR Huangjie Zheng, Zhendong Wang, Jianbo Yuan, Guanghan Ning, Pengcheng He, Quanzeng You, Hongxia Yang, Mingyuan Zhou
2024	J	`jnl`	Long and Short Guidance in Score identity Distillation for One-Step Text-to-Image Generation. CoRR Mingyuan Zhou, Zhendong Wang, Huangjie Zheng, Hai Huang
2024	A*	`conf`	Long-tailed Diffusion Models with Oriented Calibration. ICLR Tianjiao Zhang, Huangjie Zheng, Jiangchao Yao, Xiangfeng Wang, Mingyuan Zhou, Ya Zhang, Yanfeng Wang
2024	A*	`conf`	OmniMotionGPT: Animal Motion Generation with Limited Data. CVPR Zhangsihao Yang, Mingyuan Zhou, Mengyi Shan, Bingbing Wen, Ziwei Xuan, Mitch Hill, Junjie Bai, Guo-Jun Qi, Yalin Wang
2024	J	`jnl`	One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation. CoRR Zhendong Wang, Zhaoshuo Li, Ajay Mandlekar, Zhenjia Xu, Jiaojiao Fan, Yashraj Narang, Linxi Fan, Yuke Zhu, Yogesh Balaji, Mingyuan Zhou, Ming-Yu Liu, Yu Zeng
2024	—	`conf`	OpenStory: A Large-Scale Open-Domain Dataset for Subject-Driven Visual Storytelling. CVPR Workshops Zilyu Ye, Jinxiu Liu, Jinjin Cao, Zhiyang Chen, Ziwei Xuan, Mingyuan Zhou, Qi Liu, Guo-Jun Qi
2024	J	`jnl`	Openstory++: A Large-scale Dataset and Benchmark for Instance-aware Open-domain Visual Storytelling. CoRR Zilyu Ye, Jinxiu Liu, Ruotian Peng, Jinjin Cao, Zhiyang Chen, Yiyang Zhang, Ziwei Xuan, Mingyuan Zhou, Xiaoqian Shen, Mohamed Elhoseiny, Qi Liu, Guo-Jun Qi
2024	J	`jnl`	Parameter estimation of structural dynamics with neural operators enabled surrogate modeling. CoRR Mingyuan Zhou, Haoze Song, Wenjing Ye, Wei Wang, Zhilu Lai
2024	A	`conf`	Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models. UAI Xinyang Liu, Dongsheng Wang, Bowei Fang, Miaoge Li, Yishi Xu, Zhibin Duan, Bo Chen, Mingyuan Zhou
2024	J	`jnl`	Polarimetric Helmholtz Stereopsis. IEEE Trans. Pattern Anal. Mach. Intell. Yuqi Ding, Yu Ji, Zhang Chen, Mingyuan Zhou, Sing Bing Kang, Jinwei Ye
2024	A*	`conf`	Pseudo-Private Data Guided Model Inversion Attacks. NeurIPS Xiong Peng, Bo Han, Feng Liu, Tongliang Liu, Mingyuan Zhou
2024	J	`jnl`	Relative Preference Optimization: Enhancing LLM Alignment through Contrasting Responses across Identical and Diverse Prompts. CoRR Yueqin Yin, Zhendong Wang, Yi Gu, Hai Huang, Weizhu Chen, Mingyuan Zhou
2024	J	`jnl`	Scalable Weibull Graph Attention Autoencoder for Modeling Document Networks. CoRR Chaojie Wang, Xinyang Liu, Dongsheng Wang, Hao Zhang, Bo Chen, Mingyuan Zhou
2024	J	`jnl`	Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models. CoRR Tianqi Chen, Shujian Zhang, Mingyuan Zhou
2024	A*	`conf`	Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation. ICML Mingyuan Zhou, Huangjie Zheng, Zhendong Wang, Mingzhang Yin, Hai Huang
2024	J	`jnl`	Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation. CoRR Mingyuan Zhou, Huangjie Zheng, Zhendong Wang, Mingzhang Yin, Hai Huang
2024	J	`jnl`	Self-Augmented Preference Optimization: Off-Policy Paradigms for Language Model Alignment. CoRR Yueqin Yin, Zhendong Wang, Yujia Xie, Weizhu Chen, Mingyuan Zhou
2024	J	`jnl`	Self-Supervised Generative-Contrastive Learning of Multi-Modal Euclidean Input for 3D Shape Latent Representations: A Dynamic Switching Approach. IEEE Trans. Multim. Chengzhi Wu, Julius Pfrommer, Mingyuan Zhou, Jürgen Beyerer
2024	A*	`conf`	Switchable Decision: Dynamic Neural Generation Networks. ICML Shujian Zhang, Korawat Tanwisuth, Chengyue Gong, Pengcheng He, Mingyuan Zhou
2024	J	`jnl`	Switchable Decision: Dynamic Neural Generation Networks. CoRR Shujian Zhang, Korawat Tanwisuth, Chengyue Gong, Pengcheng He, Mingyuan Zhou
2024	J	`jnl`	Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization. CoRR Xuxi Chen, Zhendong Wang, Daouda Sow, Junjie Yang, Tianlong Chen, Yingbin Liang, Mingyuan Zhou, Zhangyang Wang
2024	J	`jnl`	Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data. CoRR Mingyuan Zhou, Xudong Jian, Ye Xia, Zhilu Lai
2024	A*	`conf`	Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting. ICLR Yuxin Li, Wenchao Chen, Xinyue Hu, Bo Chen, Baolin Sun, Mingyuan Zhou
2024	A*	`conf`	UltrAvatar: A Realistic Animatable 3D Avatar Diffusion Model with Authenticity Guided Textures. CVPR Mingyuan Zhou, Rakib Hyder, Ziwei Xuan, Guojun Qi
2024	J	`jnl`	UltrAvatar: A Realistic Animatable 3D Avatar Diffusion Model with Authenticity Guided Textures. CoRR Mingyuan Zhou, Rakib Hyder, Ziwei Xuan, Guojun Qi
2024	A*	`conf`	Vague Prototype-Oriented Diffusion Model for Multi-Class Anomaly Detection. ICML Yuxin Li, Yaoxuan Feng, Bo Chen, Wenchao Chen, Yubiao Wang, Xinyue Hu, Baolin Sun, Chunhui Qu, Mingyuan Zhou
2023	J	`jnl`	A Prototype-Oriented Clustering for Domain Shift with Source Privacy. CoRR Korawat Tanwisuth, Shujian Zhang, Pengcheng He, Mingyuan Zhou
2023	J	`jnl`	AutoML-GPT: Automatic Machine Learning with GPT. CoRR Shujian Zhang, Chengyue Gong, Lemeng Wu, Xingchao Liu, Mingyuan Zhou
2023	A*	`conf`	Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process. ICML Zhibin Duan, Xinyang Liu, Yudi Su, Yishi Xu, Bo Chen, Mingyuan Zhou
2023	A*	`conf`	Beta Diffusion. NeurIPS Mingyuan Zhou, Tianqi Chen, Zhendong Wang, Huangjie Zheng
2023	J	`jnl`	Beta Diffusion. CoRR Mingyuan Zhou, Tianqi Chen, Zhendong Wang, Huangjie Zheng
2023	A*	`conf`	Class-Balancing Diffusion Models. CVPR Yiming Qin, Huangjie Zheng, Jiangchao Yao, Mingyuan Zhou, Ya Zhang
2023	J	`jnl`	Class-Balancing Diffusion Models. CoRR Yiming Qin, Huangjie Zheng, Jiangchao Yao, Mingyuan Zhou, Ya Zhang
2023	A*	`conf`	Context-guided Embedding Adaptation for Effective Topic Modeling in Low-Resource Regimes. NeurIPS Yishi Xu, Jianqiao Sun, Yudi Su, Xinyang Liu, Zhibin Duan, Bo Chen, Mingyuan Zhou
2023	J	`jnl`	Contrastive Attraction and Contrastive Repulsion for Representation Learning. Trans. Mach. Learn. Res. Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor W. Tsang, Jingren Zhou, Mingyuan Zhou
2023	A*	`conf`	DR2: Diffusion-Based Robust Degradation Remover for Blind Face Restoration. CVPR Zhixin Wang, Ziying Zhang, Xiaoyun Zhang, Huangjie Zheng, Mingyuan Zhou, Ya Zhang, Yanfeng Wang
2023	J	`jnl`	DR2: Diffusion-based Robust Degradation Remover for Blind Face Restoration. CoRR Zhixin Wang, Xiaoyun Zhang, Ziying Zhang, Huangjie Zheng, Mingyuan Zhou, Ya Zhang, Yanfeng Wang
2023	A*	`conf`	Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning. ICLR Zhendong Wang, Jonathan J. Hunt, Mingyuan Zhou
2023	A*	`conf`	Diffusion-GAN: Training GANs with Diffusion. ICLR Zhendong Wang, Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
2023	A*	`conf`	Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems. ICLR Yihao Feng, Shentao Yang, Shujian Zhang, Jianguo Zhang, Caiming Xiong, Mingyuan Zhou, Huan Wang
2023	J	`jnl`	Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems. CoRR Yihao Feng, Shentao Yang, Shujian Zhang, Jianguo Zhang, Caiming Xiong, Mingyuan Zhou, Huan Wang
2023	A*	`conf`	Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory. NeurIPS Zhibin Duan, Zhiyi Lv, Chaojie Wang, Bo Chen, Bo An, Mingyuan Zhou
2023	J	`jnl`	Generative Text Convolutional Neural Network for Hierarchical Document Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. Chaojie Wang, Bo Chen, Zhibin Duan, Wenchao Chen, Hao Zhang, Mingyuan Zhou
2023	J	`jnl`	Generative-Contrastive Learning for Self-Supervised Latent Representations of 3D Shapes from Multi-Modal Euclidean Input. CoRR Chengzhi Wu, Julius Pfrommer, Mingyuan Zhou, Jürgen Beyerer
2023	J	`jnl`	Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts. CoRR Tianqi Chen, Yongfei Liu, Zhendong Wang, Jianbo Yuan, Quanzeng You, Hongxia Yang, Mingyuan Zhou
2023	A*	`conf`	In-Context Learning Unlocked for Diffusion Models. NeurIPS Zhendong Wang, Yifan Jiang, Yadong Lu, Yelong Shen, Pengcheng He, Weizhu Chen, Zhangyang (Atlas) Wang, Mingyuan Zhou
2023	J	`jnl`	In-Context Learning Unlocked for Diffusion Models. CoRR Zhendong Wang, Yifan Jiang, Yadong Lu, Yelong Shen, Pengcheng He, Weizhu Chen, Zhangyang Wang, Mingyuan Zhou
2023	J	`jnl`	Learning Hierarchical Document Graphs From Multilevel Sentence Relations. IEEE Trans. Neural Networks Learn. Syst. Hao Zhang, Chaojie Wang, Zhengjue Wang, Zhibin Duan, Bo Chen, Mingyuan Zhou, Ricardo Henao, Lawrence Carin
2023	J	`jnl`	Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling. CoRR Huangjie Zheng, Zhendong Wang, Jianbo Yuan, Guanghan Ning, Pengcheng He, Quanzeng You, Hongxia Yang, Mingyuan Zhou
2023	A*	`conf`	Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling. ICML Tianqi Chen, Mingyuan Zhou
2023	J	`jnl`	Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling. CoRR Tianqi Chen, Mingyuan Zhou
2023	J	`jnl`	OmniMotionGPT: Animal Motion Generation with Limited Data. CoRR Zhangsihao Yang, Mingyuan Zhou, Mengyi Shan, Bingbing Wen, Ziwei Xuan, Mitch Hill, Junjie Bai, Guo-Jun Qi, Yalin Wang
2023	A*	`conf`	POUF: Prompt-Oriented Unsupervised Fine-tuning for Large Pre-trained Models. ICML Korawat Tanwisuth, Shujian Zhang, Huangjie Zheng, Pengcheng He, Mingyuan Zhou
2023	J	`jnl`	POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models. CoRR Korawat Tanwisuth, Shujian Zhang, Huangjie Zheng, Pengcheng He, Mingyuan Zhou
2023	A*	`conf`	Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models. NeurIPS Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang Wang, Weizhu Chen, Mingyuan Zhou
2023	J	`jnl`	Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models. CoRR Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang Wang, Weizhu Chen, Mingyuan Zhou
2023	J	`jnl`	Patch-Token Aligned Bayesian Prompt Learning for Vision-Language Models. CoRR Xinyang Liu, Dongsheng Wang, Miaoge Li, Zhibin Duan, Yishi Xu, Bo Chen, Mingyuan Zhou
2023	A*	`conf`	PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification. ICCV Miaoge Li, Dongsheng Wang, Xinyang Liu, Zequn Zeng, Ruiying Lu, Bo Chen, Mingyuan Zhou
2023	J	`jnl`	PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification. CoRR Miaoge Li, Dongsheng Wang, Xinyang Liu, Zequn Zeng, Ruiying Lu, Bo Chen, Mingyuan Zhou
2023	A*	`conf`	Preference-grounded Token-level Guidance for Language Model Fine-tuning. NeurIPS Shentao Yang, Shujian Zhang, Congying Xia, Yihao Feng, Caiming Xiong, Mingyuan Zhou
2023	J	`jnl`	Preference-grounded Token-level Guidance for Language Model Fine-tuning. CoRR Shentao Yang, Shujian Zhang, Congying Xia, Yihao Feng, Caiming Xiong, Mingyuan Zhou
2023	A	`conf`	Probabilistic Conformal Prediction Using Conditional Random Samples. AISTATS Zhendong Wang, Ruijiang Gao, Mingzhang Yin, Mingyuan Zhou, David M. Blei
2023	A*	`conf`	Prototype-oriented unsupervised anomaly detection for multivariate time series. ICML Yuxin Li, Wenchao Chen, Bo Chen, Dongsheng Wang, Long Tian, Mingyuan Zhou
2023	J	`jnl`	Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond. CoRR Mohammadreza Armandpour, Ali Sadeghian, Huangjie Zheng, Amir Sadeghian, Mingyuan Zhou
2023	A*	`conf`	Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders. ICLR Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
2023	A	`conf`	Uncertainty-aware Unsupervised Video Hashing. AISTATS Yucheng Wang, Mingyuan Zhou, Yu Sun, Xiaoning Qian
2023	J	`jnl`	Weibull Racing Survival Analysis with Competing Events, Left Truncation, and Time-Varying Covariates. J. Mach. Learn. Res. Quan Zhang, Yanxun Xu, Mei-Cheng Wang, Mingyuan Zhou
2022	J	`jnl`	A Regularized Implicit Policy for Offline Reinforcement Learning. CoRR Shentao Yang, Zhendong Wang, Huangjie Zheng, Yihao Feng, Mingyuan Zhou
2022	A*	`conf`	A Unified Framework for Alternating Offline Model Training and Policy Learning. NeurIPS Shentao Yang, Shujian Zhang, Yihao Feng, Mingyuan Zhou
2022	J	`jnl`	A Unified Framework for Alternating Offline Model Training and Policy Learning. CoRR Shentao Yang, Shujian Zhang, Yihao Feng, Mingyuan Zhou
2022	A*	`conf`	A Variational Edge Partition Model for Supervised Graph Representation Learning. NeurIPS Yilin He, Chaojie Wang, Hao Zhang, Bo Chen, Mingyuan Zhou
2022	J	`jnl`	A Variational Edge Partition Model for Supervised Graph Representation Learning. CoRR Yilin He, Chaojie Wang, Hao Zhang, Bo Chen, Mingyuan Zhou
2022	—	`conf`	ALLSH: Active Learning Guided by Local Sensitivity and Hardness. NAACL-HLT (Findings) Shujian Zhang, Chengyue Gong, Xingchao Liu, Pengcheng He, Weizhu Chen, Mingyuan Zhou
2022	J	`jnl`	ALLSH: Active Learning Guided by Local Sensitivity and Hardness. CoRR Shujian Zhang, Chengyue Gong, Xingchao Liu, Pengcheng He, Weizhu Chen, Mingyuan Zhou
2022	A*	`conf`	Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport. NeurIPS Dandan Guo, Long Tian, He Zhao, Mingyuan Zhou, Hongyuan Zha
2022	J	`jnl`	Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport. CoRR Dandan Guo, Long Tian, He Zhao, Mingyuan Zhou, Hongyuan Zha
2022	A*	`conf`	Alleviating "Posterior Collapse" in Deep Topic Models via Policy Gradient. NeurIPS Yewen Li, Chaojie Wang, Zhibin Duan, Dongsheng Wang, Bo Chen, Bo An, Mingyuan Zhou
2022	Misc	`conf`	Attention-Based Deep Bayesian Counting For AI-Augmented Agriculture. SenSys Yucheng Wang, Mengmeng Gu, Mingyuan Zhou, Xiaoning Qian
2022	A*	`conf`	Bayesian Deep Embedding Topic Meta-Learner. ICML Zhibin Duan, Yishi Xu, Jianqiao Sun, Bo Chen, Wenchao Chen, Chaojie Wang, Mingyuan Zhou
2022	A*	`conf`	CARD: Classification and Regression Diffusion Models. NeurIPS Xizewen Han, Huangjie Zheng, Mingyuan Zhou
2022	J	`jnl`	CARD: Classification and Regression Diffusion Models. CoRR Xizewen Han, Huangjie Zheng, Mingyuan Zhou
2022	A*	`conf`	Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection. ICML Wenchao Chen, Long Tian, Bo Chen, Liang Dai, Zhibin Duan, Mingyuan Zhou
2022	J	`jnl`	Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning. CoRR Zhendong Wang, Jonathan J. Hunt, Mingyuan Zhou
2022	J	`jnl`	Diffusion-GAN: Training GANs with Diffusion. CoRR Zhendong Wang, Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
2022	A*	`conf`	HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding. NeurIPS Yishi Xu, Dongsheng Wang, Bo Chen, Ruiying Lu, Zhibin Duan, Mingyuan Zhou
2022	J	`jnl`	HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding. CoRR Yishi Xu, Dongsheng Wang, Bo Chen, Ruiying Lu, Zhibin Duan, Mingyuan Zhou
2022	J	`jnl`	Infinite Switching Dynamic Probabilistic Network With Bayesian Nonparametric Learning. IEEE Trans. Signal Process. Wenchao Chen, Bo Chen, Yicheng Liu, Chaojie Wang, Xiaojun Peng, Hongwei Liu, Mingyuan Zhou
2022	A*	`conf`	Knowledge-Aware Bayesian Deep Topic Model. NeurIPS Dongsheng Wang, Yishi Xu, Miaoge Li, Zhibin Duan, Chaojie Wang, Bo Chen, Mingyuan Zhou
2022	J	`jnl`	Knowledge-Aware Bayesian Deep Topic Model. CoRR Dongsheng Wang, Yishi Xu, Miaoge Li, Zhibin Duan, Chaojie Wang, Bo Chen, Mingyuan Zhou
2022	A*	`conf`	Learning Prototype-oriented Set Representations for Meta-Learning. ICLR Dandan Guo, Long Tian, Minghe Zhang, Mingyuan Zhou, Hongyuan Zha
2022	A*	`conf`	Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification. NeurIPS Dandan Guo, Zhuo Li, Meixi Zheng, He Zhao, Mingyuan Zhou, Hongyuan Zha
2022	J	`jnl`	Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification. CoRR Dandan Guo, Zhuo Li, Meixi Zheng, He Zhao, Mingyuan Zhou, Hongyuan Zha
2022	J	`jnl`	Matching Visual Features to Hierarchical Semantic Topics for Image Paragraph Captioning. Int. J. Comput. Vis. Dandan Guo, Ruiying Lu, Bo Chen, Zequn Zeng, Mingyuan Zhou
2022	A*	`conf`	Meta Discovery: Learning to Discover Novel Classes given Very Limited Data. ICLR Haoang Chi, Feng Liu, Wenjing Yang, Long Lan, Tongliang Liu, Bo Han, Gang Niu, Mingyuan Zhou, Masashi Sugiyama
2022	J	`jnl`	Mixing and Shifting: Exploiting Global and Local Dependencies in Vision MLPs. CoRR Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
2022	J	`jnl`	Multimodal Weibull Variational Autoencoder for Jointly Modeling Image-Text Data. IEEE Trans. Cybern. Chaojie Wang, Bo Chen, Sucheng Xiao, Zhengjue Wang, Hao Zhang, Penghui Wang, Ning Han, Mingyuan Zhou
2022	J	`jnl`	Ordinal Graph Gamma Belief Network for Social Recommender Systems. CoRR Dongsheng Wang, Chaojie Wang, Bo Chen, Mingyuan Zhou
2022	J	`jnl`	Probabilistic Conformal Prediction Using Conditional Random Samples. CoRR Zhendong Wang, Ruijiang Gao, Mingzhang Yin, Mingyuan Zhou, David M. Blei
2022	A*	`conf`	Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning. ICML Shentao Yang, Yihao Feng, Shujian Zhang, Mingyuan Zhou
2022	J	`jnl`	Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning. CoRR Shentao Yang, Yihao Feng, Shujian Zhang, Mingyuan Zhou
2022	A*	`conf`	Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings. ICLR Dongsheng Wang, Dandan Guo, He Zhao, Huangjie Zheng, Korawat Tanwisuth, Bo Chen, Mingyuan Zhou
2022	J	`jnl`	Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings. CoRR Dongsheng Wang, Dandan Guo, He Zhao, Huangjie Zheng, Korawat Tanwisuth, Bo Chen, Mingyuan Zhou
2022	J	`jnl`	Truncated Diffusion Probabilistic Models. CoRR Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou
2021	A*	`conf`	A Prototype-Oriented Framework for Unsupervised Domain Adaptation. NeurIPS Korawat Tanwisuth, Xinjie Fan, Huangjie Zheng, Shujian Zhang, Hao Zhang, Bo Chen, Mingyuan Zhou
2021	J	`jnl`	A Prototype-Oriented Framework for Unsupervised Domain Adaptation. CoRR Korawat Tanwisuth, Xinjie Fan, Huangjie Zheng, Shujian Zhang, Hao Zhang, Bo Chen, Mingyuan Zhou
2021	A*	`conf`	ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables. ICML Aleksandar Dimitriev, Mingyuan Zhou
2021	J	`jnl`	ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables. CoRR Alek Dimitriev, Mingyuan Zhou
2021	A*	`conf`	Adversarially Adaptive Normalization for Single Domain Generalization. CVPR Xinjie Fan, Qifei Wang, Junjie Ke, Feng Yang, Boqing Gong, Mingyuan Zhou
2021	J	`jnl`	Adversarially Adaptive Normalization for Single Domain Generalization. CoRR Xinjie Fan, Qifei Wang, Junjie Ke, Feng Yang, Boqing Gong, Mingyuan Zhou
2021	A*	`conf`	Alignment Attention by Matching Key and Query Distributions. NeurIPS Shujian Zhang, Xinjie Fan, Huangjie Zheng, Korawat Tanwisuth, Mingyuan Zhou
2021	J	`jnl`	Alignment Attention by Matching Key and Query Distributions. CoRR Shujian Zhang, Xinjie Fan, Huangjie Zheng, Korawat Tanwisuth, Mingyuan Zhou
2021	A*	`conf`	Bayesian Attention Belief Networks. ICML Shujian Zhang, Xinjie Fan, Bo Chen, Mingyuan Zhou
2021	J	`jnl`	Bayesian Attention Belief Networks. CoRR Shujian Zhang, Xinjie Fan, Bo Chen, Mingyuan Zhou
2021	J	`jnl`	Bayesian Graph Contrastive Learning. CoRR Arman Hasanzadeh, Mohammadreza Armandpour, Ehsan Hajiramezanali, Mingyuan Zhou, Nick Duffield, Krishna Narayanan
2021	A*	`conf`	CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator. NeurIPS Alek Dimitriev, Mingyuan Zhou
2021	J	`jnl`	CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator. CoRR Alek Dimitriev, Mingyuan Zhou
2021	A*	`conf`	Contextual Dropout: An Efficient Sample-Dependent Dropout Module. ICLR Xinjie Fan, Shujian Zhang, Korawat Tanwisuth, Xiaoning Qian, Mingyuan Zhou
2021	J	`jnl`	Contextual Dropout: An Efficient Sample-Dependent Dropout Module. CoRR Xinjie Fan, Shujian Zhang, Korawat Tanwisuth, Xiaoning Qian, Mingyuan Zhou
2021	J	`jnl`	Contrastive Conditional Transport for Representation Learning. CoRR Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor W. Tsang, Jingren Zhou, Mingyuan Zhou
2021	A*	`conf`	Convex Polytope Trees and its Application to VAE. NeurIPS Mohammadreza Armandpour, Ali Sadeghian, Mingyuan Zhou
2021	J	`jnl`	Deep Autoencoding Topic Model With Scalable Hybrid Bayesian Inference. IEEE Trans. Pattern Anal. Mach. Intell. Hao Zhang, Bo Chen, Yulai Cong, Dandan Guo, Hongwei Liu, Mingyuan Zhou
2021	—	`conf`	EnsLM: Ensemble Language Model for Data Diversity by Semantic Clustering. ACL/IJCNLP (1) Zhibin Duan, Hao Zhang, Chaojie Wang, Zhengjue Wang, Bo Chen, Mingyuan Zhou
2021	A*	`conf`	Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions. NeurIPS Huangjie Zheng, Mingyuan Zhou
2021	J	`jnl`	Gradient estimation of information measures in deep learning. Knowl. Based Syst. Liangjian Wen, Haoli Bai, Lirong He, Yiji Zhou, Mingyuan Zhou, Zenglin Xu
2021	A	`conf`	Graph Gamma Process Linear Dynamical Systems. AISTATS Rahi Kalantari, Mingyuan Zhou
2021	A	`conf`	Hyperbolic graph embedding with enhanced semi-implicit variational inference. AISTATS Ali Lotfi-Rezaabad, Rahi Kalantari, Sriram Vishwanath, Mingyuan Zhou, Jonathan I. Tamir
2021	J	`jnl`	Learning Prototype-oriented Set Representations for Meta-Learning. CoRR Dandan Guo, Long Tian, Minghe Zhang, Mingyuan Zhou, Hongyuan Zha
2021	J	`jnl`	Matching Visual Features to Hierarchical Semantic Topics for Image Paragraph Captioning. CoRR Dandan Guo, Ruiying Lu, Bo Chen, Zequn Zeng, Mingyuan Zhou
2021	A*	`conf`	Partition-Guided GANs. CVPR Mohammadreza Armandpour, Ali Sadeghian, Chunyuan Li, Mingyuan Zhou
2021	J	`jnl`	Partition-Guided GANs. CoRR Mohammadreza Armandpour, Ali Sadeghian, Chunyuan Li, Mingyuan Zhou
2021	A*	`conf`	Polarimetric Helmholtz Stereopsis. ICCV Yuqi Ding, Yu Ji, Mingyuan Zhou, Sing Bing Kang, Jinwei Ye
2021	A*	`conf`	Probabilistic Margins for Instance Reweighting in Adversarial Training. NeurIPS Qizhou Wang, Feng Liu, Bo Han, Tongliang Liu, Chen Gong, Gang Niu, Mingyuan Zhou, Masashi Sugiyama
2021	J	`jnl`	Probabilistic Margins for Instance Reweighting in Adversarial Training. CoRR Qizhou Wang, Feng Liu, Bo Han, Tongliang Liu, Chen Gong, Gang Niu, Mingyuan Zhou, Masashi Sugiyama
2021	A*	`conf`	Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network. ICML Zhibin Duan, Dongsheng Wang, Bo Chen, Chaojie Wang, Wenchao Chen, Yewen Li, Jie Ren, Mingyuan Zhou
2021	J	`jnl`	Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network. CoRR Zhibin Duan, Dongsheng Wang, Bo Chen, Chaojie Wang, Wenchao Chen, Yewen Li, Jie Ren, Mingyuan Zhou
2021	J	`jnl`	Structure From Motion on XSlit Cameras. IEEE Trans. Pattern Anal. Mach. Intell. Wei Yang, Yingliang Zhang, Jinwei Ye, Yu Ji, Zhong Li, Mingyuan Zhou, Jingyi Yu
2021	A*	`conf`	TopicNet: Semantic Graph-Guided Topic Discovery. NeurIPS Zhibin Duan, Yishi Xu, Bo Chen, Dongsheng Wang, Chaojie Wang, Mingyuan Zhou
2021	J	`jnl`	TopicNet: Semantic Graph-Guided Topic Discovery. CoRR Zhibin Duan, Yishi Xu, Bo Chen, Dongsheng Wang, Chaojie Wang, Mingyuan Zhou
2020	B	`conf`	3D Face Reconstruction using Color Photometric Stereo with Uncalibrated Near Point Lights. ICCP Zhang Chen, Yu Ji, Mingyuan Zhou, Sing Bing Kang, Jingyi Yu
2020	J	`jnl`	ACT: Asymptotic Conditional Transport. CoRR Huangjie Zheng, Mingyuan Zhou
2020	A*	`conf`	Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation. ICLR Xinjie Fan, Yizhe Zhang, Zhendong Wang, Mingyuan Zhou
2020	Misc	`conf`	Arsm Gradient Estimator for Supervised Learning to Rank. ICASSP Siamak Zamani Dadaneh, Shahin Boluki, Mingyuan Zhou, Xiaoning Qian
2020	A*	`conf`	Bayesian Attention Modules. NeurIPS Xinjie Fan, Shujian Zhang, Bo Chen, Mingyuan Zhou
2020	J	`jnl`	Bayesian Attention Modules. CoRR Xinjie Fan, Shujian Zhang, Bo Chen, Mingyuan Zhou
2020	A*	`conf`	Bayesian Graph Neural Networks with Adaptive Connection Sampling. ICML Arman Hasanzadeh, Ehsan Hajiramezanali, Shahin Boluki, Mingyuan Zhou, Nick Duffield, Krishna Narayanan, Xiaoning Qian
2020	J	`jnl`	Bayesian Graph Neural Networks with Adaptive Connection Sampling. CoRR Arman Hasanzadeh, Ehsan Hajiramezanali, Shahin Boluki, Mingyuan Zhou, Nick Duffield, Krishna Narayanan, Xiaoning Qian
2020	A*	`conf`	Bidirectional Convolutional Poisson Gamma Dynamical Systems. NeurIPS Wenchao Chen, Chaojie Wang, Bo Chen, Yicheng Liu, Hao Zhang, Mingyuan Zhou
2020	J	`jnl`	Convex Polytope Trees. CoRR Mohammadreza Armandpour, Mingyuan Zhou
2020	J	`jnl`	Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference. CoRR Hao Zhang, Bo Chen, Yulai Cong, Dandan Guo, Hongwei Liu, Mingyuan Zhou
2020	A*	`conf`	Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network. NeurIPS Chaojie Wang, Hao Zhang, Bo Chen, Dongsheng Wang, Zhengjue Wang, Mingyuan Zhou
2020	A	`conf`	Discrete Action On-Policy Learning with Action-Value Critic. AISTATS Yuguang Yue, Yunhao Tang, Mingzhang Yin, Mingyuan Zhou
2020	J	`jnl`	Discrete Action On-Policy Learning with Action-Value Critic. CoRR Yuguang Yue, Yunhao Tang, Mingzhang Yin, Mingyuan Zhou
2020	—	`conf`	Friendly Topic Assistant for Transformer Based Abstractive Summarization. EMNLP (1) Zhengjue Wang, Zhibin Duan, Hao Zhang, Chaojie Wang, Long Tian, Bo Chen, Mingyuan Zhou
2020	J	`jnl`	Graph Gamma Process Generalized Linear Dynamical Systems. CoRR Rahi Kalantari, Mingyuan Zhou
2020	J	`jnl`	Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational Inference. CoRR Ali Lotfi-Rezaabad, Rahi Kalantari, Sriram Vishwanath, Mingyuan Zhou, Jonathan I. Tamir
2020	A*	`conf`	Implicit Distributional Reinforcement Learning. NeurIPS Yuguang Yue, Zhendong Wang, Mingyuan Zhou
2020	J	`jnl`	Implicit Distributional Reinforcement Learning. CoRR Yuguang Yue, Zhendong Wang, Mingyuan Zhou
2020	A	`conf`	Learnable Bernoulli Dropout for Bayesian Deep Learning. AISTATS Shahin Boluki, Randy Ardywibowo, Siamak Zamani Dadaneh, Mingyuan Zhou, Xiaoning Qian
2020	J	`jnl`	Learnable Bernoulli Dropout for Bayesian Deep Learning. CoRR Shahin Boluki, Randy Ardywibowo, Siamak Zamani Dadaneh, Mingyuan Zhou, Xiaoning Qian
2020	A	`conf`	Learning Dynamic Hierarchical Topic Graph with Graph Convolutional Network for Document Classification. AISTATS Zhengjue Wang, Chaojie Wang, Hao Zhang, Zhibin Duan, Mingyuan Zhou, Bo Chen
2020	J	`jnl`	MCMC-Interactive Variational Inference. CoRR Quan Zhang, Huangjie Zheng, Mingyuan Zhou
2020	A*	`conf`	Meta-Learning without Memorization. ICLR Mingzhang Yin, George Tucker, Mingyuan Zhou, Sergey Levine, Chelsea Finn
2020	A*	`conf`	Mutual Information Gradient Estimation for Representation Learning. ICLR Liangjian Wen, Yiji Zhou, Lirong He, Mingyuan Zhou, Zenglin Xu
2020	J	`jnl`	Mutual Information Gradient Estimation for Representation Learning. CoRR Liangjian Wen, Yiji Zhou, Lirong He, Mingyuan Zhou, Zenglin Xu
2020	A	`conf`	Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator. UAI Siamak Zamani Dadaneh, Shahin Boluki, Mingzhang Yin, Mingyuan Zhou, Xiaoning Qian
2020	J	`jnl`	Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator. CoRR Siamak Zamani Dadaneh, Shahin Boluki, Mingzhang Yin, Mingyuan Zhou, Xiaoning Qian
2020	A*	`conf`	Recurrent Hierarchical Topic-Guided RNN for Language Generation. ICML Dandan Guo, Bo Chen, Ruiying Lu, Mingyuan Zhou
2020	J	`jnl`	Self-supervised Pre-training with Hard Examples Improves Visual Representations. CoRR Chunyuan Li, Xiujun Li, Lei Zhang, Baolin Peng, Mingyuan Zhou, Jianfeng Gao
2020	Misc	`conf`	Semi-Implicit Stochastic Recurrent Neural Networks. ICASSP Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna Narayanan, Mingyuan Zhou, Xiaoning Qian
2020	J	`jnl`	Semi-supervised learning using adversarial training with good and bad samples. Mach. Vis. Appl. Wenyuan Li, Zichen Wang, Yuguang Yue, Jiayun Li, William Speier, Mingyuan Zhou, Corey W. Arnold
2020	J	`jnl`	Shape and Reflectance Reconstruction Using Concentric Multi-Spectral Light Field. IEEE Trans. Pattern Anal. Mach. Intell. Mingyuan Zhou, Yuqi Ding, Yu Ji, S. Susan Young, Jingyi Yu, Jinwei Ye
2020	A*	`conf`	Switching Poisson Gamma Dynamical Systems. IJCAI Wenchao Chen, Bo Chen, Yicheng Liu, Qianru Zhao, Mingyuan Zhou
2020	A*	`conf`	Thompson Sampling via Local Uncertainty. ICML Zhendong Wang, Mingyuan Zhou
2020	A	`conf`	Variational Autoencoders for Sparse and Overdispersed Discrete Data. AISTATS He Zhao, Piyush Rai, Lan Du, Wray L. Buntine, Dinh Phung, Mingyuan Zhou
2020	A*	`conf`	Variational Hetero-Encoder Randomized GANs for Joint Image-Text Modeling. ICLR Hao Zhang, Bo Chen, Long Tian, Zhengjue Wang, Mingyuan Zhou
2020	J	`jnl`	Variational Temporal Deep Generative Model for Radar HRRP Target Recognition. CoRR Dandan Guo, Bo Chen, Wenchao Chen, Chaojie Wang, Hongwei Liu, Mingyuan Zhou
2020	J	`jnl`	Variational Temporal Deep Generative Model for Radar HRRP Target Recognition. IEEE Trans. Signal Process. Dandan Guo, Bo Chen, Wenchao Chen, Chaojie Wang, Hongwei Liu, Mingyuan Zhou
2019	J	`jnl`	3D Face Reconstruction Using Color Photometric Stereo with Uncalibrated Near Point Lights. CoRR Zhang Chen, Yu Ji, Mingyuan Zhou, Sing Bing Kang, Jingyi Yu
2019	—	`conf`	ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks. ICLR (Poster) Mingzhang Yin, Mingyuan Zhou
2019	J	`jnl`	ARSM Gradient Estimator for Supervised Learning to Rank. CoRR Siamak Zamani Dadaneh, Shahin Boluki, Mingyuan Zhou, Xiaoning Qian
2019	A*	`conf`	ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables. ICML Mingzhang Yin, Yuguang Yue, Mingyuan Zhou
2019	J	`jnl`	ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables. CoRR Mingzhang Yin, Yuguang Yue, Mingyuan Zhou
2019	J	`jnl`	Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation. CoRR Xinjie Fan, Yizhe Zhang, Zhendong Wang, Mingyuan Zhou
2019	J	`jnl`	Augment-Reinforce-Merge Policy Gradient for Binary Stochastic Policy. CoRR Yunhao Tang, Mingzhang Yin, Mingyuan Zhou
2019	J	`jnl`	Bayesian negative binomial regression for differential expression with confounding factors. Bioinform. Siamak Zamani Dadaneh, Mingyuan Zhou, Xiaoning Qian
2019	J	`jnl`	Content Aware Image Pre-Compensation. IEEE Trans. Pattern Anal. Mach. Intell. Jinwei Ye, Yu Ji, Mingyuan Zhou, Sing Bing Kang, Jingyi Yu
2019	A*	`conf`	Convolutional Poisson Gamma Belief Network. ICML Chaojie Wang, Bo Chen, Sucheng Xiao, Mingyuan Zhou
2019	J	`jnl`	Convolutional Poisson Gamma Belief Network. CoRR Chaojie Wang, Bo Chen, Sucheng Xiao, Mingyuan Zhou
2019	A	`conf`	Deep Topic Models for Multi-label Learning. AISTATS Rajat Panda, Ankit Pensia, Nikhil Mehta, Mingyuan Zhou, Piyush Rai
2019	A*	`conf`	Locally Private Bayesian Inference for Count Models. ICML Aaron Schein, Zhiwei Steven Wu, Alexandra Schofield, Mingyuan Zhou, Hanna M. Wallach
2019	J	`jnl`	Meta-Learning without Memorization. CoRR Mingzhang Yin, George Tucker, Mingyuan Zhou, Sergey Levine, Chelsea Finn
2019	J	`jnl`	Non-Lambertian Surface Shape and Reflectance Reconstruction Using Concentric Multi-Spectral Light Field. CoRR Mingyuan Zhou, Yu Ji, Yuqi Ding, Jinwei Ye, S. Susan Young, Jingyi Yu
2019	A*	`conf`	Poisson-Randomized Gamma Dynamical Systems. NeurIPS Aaron Schein, Scott W. Linderman, Mingyuan Zhou, David M. Blei, Hanna M. Wallach
2019	J	`jnl`	Poisson-Randomized Gamma Dynamical Systems. CoRR Aaron Schein, Scott W. Linderman, Mingyuan Zhou, David M. Blei, Hanna M. Wallach
2019	J	`jnl`	Recurrent Hierarchical Topic-Guided Neural Language Models. CoRR Dandan Guo, Bo Chen, Ruiying Lu, Mingyuan Zhou
2019	J	`jnl`	Semi-Implicit Generative Model. CoRR Mingzhang Yin, Mingyuan Zhou
2019	A*	`conf`	Semi-Implicit Graph Variational Auto-Encoders. NeurIPS Arman Hasanzadeh, Ehsan Hajiramezanali, Krishna R. Narayanan, Nick Duffield, Mingyuan Zhou, Xiaoning Qian
2019	J	`jnl`	Semi-Implicit Graph Variational Auto-Encoders. CoRR Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield, Krishna R. Narayanan, Mingyuan Zhou, Xiaoning Qian
2019	J	`jnl`	Semi-Implicit Stochastic Recurrent Neural Networks. CoRR Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna R. Narayanan, Mingyuan Zhou, Xiaoning Qian
2019	J	`jnl`	Semi-supervised Learning using Adversarial Training with Good and Bad Samples. CoRR Wenyuan Li, Zichen Wang, Yuguang Yue, Jiayun Li, William Speier, Mingyuan Zhou, Corey W. Arnold
2019	J	`jnl`	Thompson Sampling via Local Uncertainty. CoRR Zhendong Wang, Mingyuan Zhou
2019	J	`jnl`	Variational Autoencoders for Sparse and Overdispersed Discrete Data. CoRR He Zhao, Piyush Rai, Lan Du, Wray L. Buntine, Mingyuan Zhou
2019	A*	`conf`	Variational Graph Recurrent Neural Networks. NeurIPS Ehsan Hajiramezanali, Arman Hasanzadeh, Krishna R. Narayanan, Nick Duffield, Mingyuan Zhou, Xiaoning Qian
2019	J	`jnl`	Variational Graph Recurrent Neural Networks. CoRR Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna R. Narayanan, Mingyuan Zhou, Xiaoning Qian
2019	J	`jnl`	Variational Hetero-Encoder Randomized Generative Adversarial Networks for Joint Image-Text Modeling. CoRR Hao Zhang, Bo Chen, Long Tian, Zhengjue Wang, Mingyuan Zhou
2018	A*	`conf`	A Dual Markov Chain Topic Model for Dynamic Environments. KDD Ayan Acharya, Joydeep Ghosh, Mingyuan Zhou
2018	J	`jnl`	ARM: Augment-REINFORCE-Merge Gradient for Discrete Latent Variable Models. CoRR Mingzhang Yin, Mingyuan Zhou
2018	A*	`conf`	Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data. NeurIPS Ehsan Hajiramezanali, Siamak Zamani Dadaneh, Alireza Karbalayghareh, Mingyuan Zhou, Xiaoning Qian
2018	J	`jnl`	Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data. CoRR Ehsan Hajiramezanali, Siamak Zamani Dadaneh, Alireza Karbalayghareh, Mingyuan Zhou, Xiaoning Qian
2018	J	`jnl`	Bayesian negative binomial regression for differential expression with confounding factors. Bioinform. Siamak Zamani Dadaneh, Mingyuan Zhou, Xiaoning Qian
2018	J	`jnl`	Covariate-dependent negative binomial factor analysis of RNA sequencing data. Bioinform. Siamak Zamani Dadaneh, Mingyuan Zhou, Xiaoning Qian
2018	A*	`conf`	Deep Poisson gamma dynamical systems. NeurIPS Dandan Guo, Bo Chen, Hao Zhang, Mingyuan Zhou
2018	J	`jnl`	Deep Poisson gamma dynamical systems. CoRR Dandan Guo, Bo Chen, Hao Zhang, Mingyuan Zhou
2018	A*	`conf`	Dirichlet belief networks for topic structure learning. NeurIPS He Zhao, Lan Du, Wray L. Buntine, Mingyuan Zhou
2018	J	`jnl`	Dirichlet belief networks for topic structure learning. CoRR He Zhao, Lan Du, Wray L. Buntine, Mingyuan Zhou
2018	A*	`conf`	Inter and Intra Topic Structure Learning with Word Embeddings. ICML He Zhao, Lan Du, Wray L. Buntine, Mingyuan Zhou
2018	J	`jnl`	Locally Private Bayesian Inference for Count Models. CoRR Aaron Schein, Zhiwei Steven Wu, Mingyuan Zhou, Hanna M. Wallach
2018	A*	`conf`	Masking: A New Perspective of Noisy Supervision. NeurIPS Bo Han, Jiangchao Yao, Gang Niu, Mingyuan Zhou, Ivor W. Tsang, Ya Zhang, Masashi Sugiyama
2018	J	`jnl`	Masking: A New Perspective of Noisy Supervision. CoRR Bo Han, Jiangchao Yao, Gang Niu, Mingyuan Zhou, Ivor W. Tsang, Ya Zhang, Masashi Sugiyama
2018	A*	`conf`	Multimodal Poisson Gamma Belief Network. AAAI Chaojie Wang, Bo Chen, Mingyuan Zhou
2018	A*	`conf`	Nonparametric Bayesian Lomax delegate racing for survival analysis with competing risks. NeurIPS Quan Zhang, Mingyuan Zhou
2018	J	`jnl`	Nonparametric Bayesian Lomax delegate racing for survival analysis with competing risks. CoRR Quan Zhang, Mingyuan Zhou
2018	A	`conf`	Nonparametric Bayesian sparse graph linear dynamical systems. AISTATS Rahi Kalantari, Joydeep Ghosh, Mingyuan Zhou
2018	A*	`conf`	Parsimonious Bayesian deep networks. NeurIPS Mingyuan Zhou
2018	J	`jnl`	Parsimonious Bayesian deep networks. CoRR Mingyuan Zhou
2018	A*	`conf`	Semi-Implicit Variational Inference. ICML Mingzhang Yin, Mingyuan Zhou
2018	J	`jnl`	Semi-Implicit Variational Inference. CoRR Mingzhang Yin, Mingyuan Zhou
2018	—	`conf`	WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling. ICLR (Poster) Hao Zhang, Bo Chen, Dandan Guo, Mingyuan Zhou
2017	A*	`conf`	Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC. ICML Yulai Cong, Bo Chen, Hongwei Liu, Mingyuan Zhou
2017	J	`jnl`	Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC. CoRR Yulai Cong, Bo Chen, Hongwei Liu, Mingyuan Zhou
2017	J	`jnl`	Permuted and Augmented Stick-Breaking Bayesian Multinomial Regression. J. Mach. Learn. Res. Quan Zhang, Mingyuan Zhou
2017	J	`jnl`	Poisson-Gamma Dynamical Systems. CoRR Aaron Schein, Mingyuan Zhou, Hanna M. Wallach
2016	J	`jnl`	Augmentable Gamma Belief Networks. J. Mach. Learn. Res. Mingyuan Zhou, Yulai Cong, Bo Chen
2016	A*	`conf`	Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations. ICML Aaron Schein, Mingyuan Zhou, David M. Blei, Hanna M. Wallach
2016	J	`jnl`	Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations. CoRR Aaron Schein, Mingyuan Zhou, David M. Blei, Hanna M. Wallach
2016	—	`conf`	Poisson-Gamma dynamical systems. NIPS Aaron Schein, Hanna M. Wallach, Mingyuan Zhou
2016	A*	`conf`	Rotational Crossed-Slit Light Fields. CVPR Nianyi Li, Haiting Lin, Bilin Sun, Mingyuan Zhou, Jingyi Yu
2015	J	`jnl`	A Bayesian Nonparametric Approach to Image Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. Gungor Polatkan, Mingyuan Zhou, Lawrence Carin, David M. Blei, Ingrid Daubechies
2015	—	`conf`	Gamma Process Poisson Factorization for Joint Modeling of Network and Documents. ECML/PKDD (1) Ayan Acharya, Dean Teffer, Jette Henderson, Marcus Tyler, Mingyuan Zhou, Joydeep Ghosh
2015	—	`conf`	Hybrid sensing face detection and recognition. AIPR Mingyuan Zhou, Haiting Lin, Jingyi Yu, S. Susan Young
2015	A	`conf`	Infinite Edge Partition Models for Overlapping Community Detection and Link Prediction. AISTATS Mingyuan Zhou
2015	J	`jnl`	Infinite Edge Partition Models for Overlapping Community Detection and Link Prediction. CoRR Mingyuan Zhou
2015	J	`jnl`	Negative Binomial Process Count and Mixture Modeling. IEEE Trans. Pattern Anal. Mach. Intell. Mingyuan Zhou, Lawrence Carin
2015	A	`conf`	Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices. AISTATS Ayan Acharya, Joydeep Ghosh, Mingyuan Zhou
2015	—	`conf`	Nonparametric Bayesian matrix factorization for assortative networks. EUSIPCO Mingyuan Zhou
2015	—	`conf`	The Poisson Gamma Belief Network. NIPS Mingyuan Zhou, Yulai Cong, Bo Chen
2014	—	`conf`	Beta-Negative Binomial Process and Exchangeable Random Partitions for Mixed-Membership Modeling. NIPS Mingyuan Zhou
2014	J	`jnl`	Multichannel Electrophysiological Spike Sorting via Joint Dictionary Learning and Mixture Modeling. IEEE Trans. Biomed. Eng. David E. Carlson, Joshua T. Vogelstein, Qisong Wu, Wenzhao Lian, Mingyuan Zhou, Colin R. Stoetzner, Daryl Kipke, Douglas Weber, David B. Dunson, Lawrence Carin
2012	J	`jnl`	A Bayesian Nonparametric Approach to Image Super-resolution CoRR Gungor Polatkan, Mingyuan Zhou, Lawrence Carin, David M. Blei, Ingrid Daubechies
2012	A	`conf`	A GPU-based implementation of an enhanced GEP algorithm. GECCO Shuai Shao, Xiyang Liu, Mingyuan Zhou, Jiguo Zhan, Xin Liu, Yanli Chu, Hao Chen
2012	—	`conf`	Augment-and-Conquer Negative Binomial Processes. NIPS Mingyuan Zhou, Lawrence Carin
2012	A	`conf`	Beta-Negative Binomial Process and Poisson Factor Analysis. AISTATS Mingyuan Zhou, Lauren Hannah, David B. Dunson, Lawrence Carin
2012	J	`jnl`	Dictionary Learning for Noisy and Incomplete Hyperspectral Images. SIAM J. Imaging Sci. Zhengming Xing, Mingyuan Zhou, Alexey Castrodad, Guillermo Sapiro, Lawrence Carin
2012	A*	`conf`	Lognormal and Gamma Mixed Negative Binomial Regression. ICML Mingyuan Zhou, Lingbo Li, David B. Dunson, Lawrence Carin
2012	J	`jnl`	Lognormal and Gamma Mixed Negative Binomial Regression. CoRR Mingyuan Zhou, Lingbo Li, David B. Dunson, Lawrence Carin
2012	J	`jnl`	Nested Dictionary Learning for Hierarchical Organization of Imagery and Text CoRR Lingbo Li, XianXing Zhang, Mingyuan Zhou, Lawrence Carin
2012	A	`conf`	Nested Dictionary Learning for Hierarchical Organization of Imagery and Text. UAI Lingbo Li, XianXing Zhang, Mingyuan Zhou, Lawrence Carin
2012	J	`jnl`	Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images. IEEE Trans. Image Process. Mingyuan Zhou, Haojun Chen, John W. Paisley, Lu Ren, Lingbo Li, Zhengming Xing, David B. Dunson, Guillermo Sapiro, Lawrence Carin
2012	Misc	`conf`	Online Bayesian dictionary learning for large datasets. ICASSP Lingbo Li, Jorge G. Silva, Mingyuan Zhou, Lawrence Carin
2012	A*	`conf`	The contextual focused topic model. KDD Xu Chen, Mingyuan Zhou, Lawrence Carin
2011	Misc	`conf`	Covariate-dependent dictionary learning and sparse coding. ICASSP Mingyuan Zhou, Hongxia Yang, Guillermo Sapiro, David B. Dunson, Lawrence Carin
2011	A	`conf`	Dependent Hierarchical Beta Process for Image Interpolation and Denoising. AISTATS Mingyuan Zhou, Hongxia Yang, Guillermo Sapiro, David B. Dunson, Lawrence Carin
2011	Misc	`conf`	Joint dictionary learning and topic modeling for image clustering. ICASSP Lingbo Li, Mingyuan Zhou, Eric Wang, Lawrence Carin
2011	A*	`conf`	On the Integration of Topic Modeling and Dictionary Learning. ICML Lingbo Li, Mingyuan Zhou, Guillermo Sapiro, Lawrence Carin
2010	—	`conf`	IBM Research TRECVID-2010 Video Copy Detection and Multimedia Event Detection System. TRECVID Matthew L. Hill, Gang Hua, Apostol Natsev, John R. Smith, Lexing Xie, Bert Huang, Michele Merler, Hua Ouyang, Mingyuan Zhou
2010	B	`conf`	Nonparametric image interpolation and dictionary learning using spatially-dependent Dirichlet and beta process priors. ICIP John W. Paisley, Mingyuan Zhou, Guillermo Sapiro, Lawrence Carin
2009	—	`conf`	Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations. NIPS Mingyuan Zhou, Haojun Chen, John W. Paisley, Lu Ren, Guillermo Sapiro, Lawrence Carin
2008	J	`jnl`	On the relationship of non-parametric methods for coherence function estimation. Signal Process. Chengshi Zheng, Mingyuan Zhou, Xiaodong Li