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2020 – today
- 2024
[j28]Yuqi Ding
, Yu Ji, Zhang Chen, Mingyuan Zhou, Sing Bing Kang, Jinwei Ye:
Polarimetric Helmholtz Stereopsis. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 4597-4611 (2024)- [j27]Ruiying Lu, Bo Chen, Dandan Guo, Dongsheng Wang, Mingyuan Zhou:
Hierarchical Topic-Aware Contextualized Transformers. IEEE ACM Trans. Audio Speech Lang. Process. 32: 841-852 (2024) - [j26]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: 8432-8441 (2024) - [c125]Yuxin Li, Wenchao Chen, Xinyue Hu, Bo Chen, Baolin Sun, Mingyuan Zhou:
Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting. ICLR 2024 - [c124]Tianjiao Zhang, Huangjie Zheng, Jiangchao Yao, Xiangfeng Wang, Mingyuan Zhou, Ya Zhang, Yanfeng Wang:
Long-tailed Diffusion Models with Oriented Calibration. ICLR 2024 - [c123]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 - [c122]Yuxin Li, Yaoxuan Feng, Bo Chen, Wenchao Chen, Yubiao Wang, Xinyue Hu, Baolin Sun, Chunhui Qu, Mingyuan Zhou:
Vague Prototype-Oriented Diffusion Model for Multi-Class Anomaly Detection. ICML 2024 - [c121]Shentao Yang, Tianqi Chen, Mingyuan Zhou:
A Dense Reward View on Aligning Text-to-Image Diffusion with Preference. ICML 2024 - [c120]Shujian Zhang, Korawat Tanwisuth, Chengyue Gong, Pengcheng He, Mingyuan Zhou:
Switchable Decision: Dynamic Neural Generation Networks. ICML 2024 - [c119]Mingyuan Zhou, Huangjie Zheng, Zhendong Wang, Mingzhang Yin, Hai Huang:
Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation. ICML 2024 - [i113]Mingyuan Zhou, Rakib Hyder, Ziwei Xuan, Guojun Qi:
UltrAvatar: A Realistic Animatable 3D Avatar Diffusion Model with Authenticity Guided Textures. CoRR abs/2401.11078 (2024) - [i112]Shentao Yang, Tianqi Chen, Mingyuan Zhou:
A Dense Reward View on Aligning Text-to-Image Diffusion with Preference. CoRR abs/2402.08265 (2024) - [i111]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 abs/2402.10958 (2024) - [i110]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 abs/2402.14270 (2024) - [i109]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 abs/2404.04057 (2024) - [i108]Shujian Zhang, Korawat Tanwisuth, Chengyue Gong, Pengcheng He, Mingyuan Zhou:
Switchable Decision: Dynamic Neural Generation Networks. CoRR abs/2405.04513 (2024) - [i107]Tianyu Chen, Zhendong Wang, Mingyuan Zhou:
Diffusion Policies creating a Trust Region for Offline Reinforcement Learning. CoRR abs/2405.19690 (2024) - [i106]Yueqin Yin, Zhendong Wang, Yujia Xie, Weizhu Chen, Mingyuan Zhou:
Self-Augmented Preference Optimization: Off-Policy Paradigms for Language Model Alignment. CoRR abs/2405.20830 (2024) - [i105]Mingyuan Zhou, Zhendong Wang, Huangjie Zheng, Hai Huang:
Long and Short Guidance in Score identity Distillation for One-Step Text-to-Image Generation. CoRR abs/2406.01561 (2024) - [i104]Xizewen Han, Mingyuan Zhou:
Diffusion Boosted Trees. CoRR abs/2406.01813 (2024) - [i103]Yi Gu, Zhendong Wang, Yueqin Yin, Yujia Xie, Mingyuan Zhou:
Diffusion-RPO: Aligning Diffusion Models through Relative Preference Optimization. CoRR abs/2406.06382 (2024) - [i102]Yilin He, Xinyang Liu, Bo Chen, Mingyuan Zhou:
Advancing Graph Generation through Beta Diffusion. CoRR abs/2406.09357 (2024) - [i101]Zhibin Duan, Tiansheng Wen, Yifei Wang, Chen Zhu, Bo Chen, Mingyuan Zhou:
Contrastive Factor Analysis. CoRR abs/2407.21740 (2024) - [i100]Zhibin Duan, Tiansheng Wen, Muyao Wang, Bo Chen, Mingyuan Zhou:
A Non-negative VAE:the Generalized Gamma Belief Network. CoRR abs/2408.03388 (2024) - [i99]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:
Openstory++: A Large-scale Dataset and Benchmark for Instance-aware Open-domain Visual Storytelling. CoRR abs/2408.03695 (2024) - 2023
- [j25]Quan Zhang, Yanxun Xu, Mei-Cheng Wang, Mingyuan Zhou:
Weibull Racing Survival Analysis with Competing Events, Left Truncation, and Time-Varying Covariates. J. Mach. Learn. Res. 24: 295:1-295:43 (2023) - [j24]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): 4586-4604 (2023) - [j23]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) - [j22]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): 4273-4285 (2023) - [c118]Yucheng Wang, Mingyuan Zhou, Yu Sun, Xiaoning Qian:
Uncertainty-aware Unsupervised Video Hashing. AISTATS 2023: 6722-6740 - [c117]Zhendong Wang, Ruijiang Gao, Mingzhang Yin, Mingyuan Zhou, David M. Blei:
Probabilistic Conformal Prediction Using Conditional Random Samples. AISTATS 2023: 8814-8836 - [c116]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: 1704-1713 - [c115]Yiming Qin, Huangjie Zheng, Jiangchao Yao, Mingyuan Zhou, Ya Zhang:
Class-Balancing Diffusion Models. CVPR 2023: 18434-18443 - [c114]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: 15302-15312 - [c113]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 - [c112]Zhendong Wang, Jonathan J. Hunt, Mingyuan Zhou:
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning. ICLR 2023 - [c111]Zhendong Wang, Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou:
Diffusion-GAN: Training GANs with Diffusion. ICLR 2023 - [c110]Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou:
Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders. ICLR 2023 - [c109]Tianqi Chen, Mingyuan Zhou:
Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling. ICML 2023: 5367-5382 - [c108]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: 8731-8746 - [c107]Yuxin Li, Wenchao Chen, Bo Chen, Dongsheng Wang, Long Tian, Mingyuan Zhou:
Prototype-oriented unsupervised anomaly detection for multivariate time series. ICML 2023: 19407-19424 - [c106]Korawat Tanwisuth, Shujian Zhang, Huangjie Zheng, Pengcheng He, Mingyuan Zhou:
POUF: Prompt-Oriented Unsupervised Fine-tuning for Large Pre-trained Models. ICML 2023: 33816-33832 - [c105]Zhibin Duan, Zhiyi Lv, Chaojie Wang, Bo Chen, Bo An, Mingyuan Zhou:
Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory. NeurIPS 2023 - [c104]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 - [c103]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 - [c102]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 - [c101]Shentao Yang, Shujian Zhang, Congying Xia, Yihao Feng, Caiming Xiong, Mingyuan Zhou:
Preference-grounded Token-level Guidance for Language Model Fine-tuning. NeurIPS 2023 - [c100]Mingyuan Zhou, Tianqi Chen, Zhendong Wang, Huangjie Zheng:
Beta Diffusion. NeurIPS 2023 - [i98]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 abs/2301.04612 (2023) - [i97]Korawat Tanwisuth, Shujian Zhang, Pengcheng He, Mingyuan Zhou:
A Prototype-Oriented Clustering for Domain Shift with Source Privacy. CoRR abs/2302.03807 (2023) - [i96]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 abs/2302.10342 (2023) - [i95]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 abs/2303.06885 (2023) - [i94]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 abs/2303.09100 (2023) - [i93]Mohammadreza Armandpour, Ali Sadeghian, Huangjie Zheng, Amir Sadeghian, Mingyuan Zhou:
Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond. CoRR abs/2304.04968 (2023) - [i92]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 abs/2304.12526 (2023) - [i91]Korawat Tanwisuth, Shujian Zhang, Huangjie Zheng, Pengcheng He, Mingyuan Zhou:
POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models. CoRR abs/2305.00350 (2023) - [i90]Yiming Qin, Huangjie Zheng, Jiangchao Yao, Mingyuan Zhou, Ya Zhang:
Class-Balancing Diffusion Models. CoRR abs/2305.00562 (2023) - [i89]Zhendong Wang, Yifan Jiang, Yadong Lu, Yelong Shen, Pengcheng He, Weizhu Chen, Zhangyang Wang, Mingyuan Zhou:
In-Context Learning Unlocked for Diffusion Models. CoRR abs/2305.01115 (2023) - [i88]Shujian Zhang, Chengyue Gong, Lemeng Wu, Xingchao Liu, Mingyuan Zhou:
AutoML-GPT: Automatic Machine Learning with GPT. CoRR abs/2305.02499 (2023) - [i87]Tianqi Chen, Mingyuan Zhou:
Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling. CoRR abs/2305.18375 (2023) - [i86]Shentao Yang, Shujian Zhang, Congying Xia, Yihao Feng, Caiming Xiong, Mingyuan Zhou:
Preference-grounded Token-level Guidance for Language Model Fine-tuning. CoRR abs/2306.00398 (2023) - [i85]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 abs/2307.09066 (2023) - [i84]Mingyuan Zhou, Tianqi Chen, Zhendong Wang, Huangjie Zheng:
Beta Diffusion. CoRR abs/2309.07867 (2023) - [i83]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 abs/2310.06389 (2023) - [i82]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 abs/2311.18303 (2023) - [i81]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 abs/2312.01408 (2023) - 2022
- [j21]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): 1920-1937 (2022) - [j20]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): 11156-11171 (2022) - [j19]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: 2224-2238 (2022) - [c99]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 - [c98]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 - [c97]Dandan Guo, Long Tian, Minghe Zhang, Mingyuan Zhou, Hongyuan Zha:
Learning Prototype-oriented Set Representations for Meta-Learning. ICLR 2022 - [c96]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: 3621-3633 - [c95]Zhibin Duan, Yishi Xu, Jianqiao Sun, Bo Chen, Wenchao Chen, Chaojie Wang, Mingyuan Zhou:
Bayesian Deep Embedding Topic Meta-Learner. ICML 2022: 5659-5670 - [c94]Shentao Yang, Yihao Feng, Shujian Zhang, Mingyuan Zhou:
Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning. ICML 2022: 24980-25006 - [c93]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: 1328-1342 - [c92]Dongsheng Wang, Yishi Xu, Miaoge Li, Zhibin Duan, Chaojie Wang, Bo Chen, Mingyuan Zhou:
Knowledge-Aware Bayesian Deep Topic Model. NeurIPS 2022 - [c91]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 - [c90]Dandan Guo, Long Tian, He Zhao, Mingyuan Zhou, Hongyuan Zha:
Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport. NeurIPS 2022 - [c89]Xizewen Han, Huangjie Zheng, Mingyuan Zhou:
CARD: Classification and Regression Diffusion Models. NeurIPS 2022 - [c88]Yilin He, Chaojie Wang, Hao Zhang, Bo Chen, Mingyuan Zhou:
A Variational Edge Partition Model for Supervised Graph Representation Learning. NeurIPS 2022 - [c87]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 - [c86]Yishi Xu, Dongsheng Wang, Bo Chen, Ruiying Lu, Zhibin Duan, Mingyuan Zhou:
HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding. NeurIPS 2022 - [c85]Shentao Yang, Shujian Zhang, Yihao Feng, Mingyuan Zhou:
A Unified Framework for Alternating Offline Model Training and Policy Learning. NeurIPS 2022 - [c84]Yucheng Wang, Mengmeng Gu, Mingyuan Zhou, Xiaoning Qian:
Attention-Based Deep Bayesian Counting For AI-Augmented Agriculture. SenSys 2022: 1109-1115 - [i80]Yilin He, Chaojie Wang, Hao Zhang, Bo Chen, Mingyuan Zhou:
A Variational Edge Partition Model for Supervised Graph Representation Learning. CoRR abs/2202.03233 (2022) - [i79]Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou:
Mixing and Shifting: Exploiting Global and Local Dependencies in Vision MLPs. CoRR abs/2202.06510 (2022) - [i78]Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou:
Truncated Diffusion Probabilistic Models. CoRR abs/2202.09671 (2022) - [i77]Shentao Yang, Zhendong Wang, Huangjie Zheng, Yihao Feng, Mingyuan Zhou:
A Regularized Implicit Policy for Offline Reinforcement Learning. CoRR abs/2202.09673 (2022) - [i76]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 abs/2203.01570 (2022) - [i75]Shujian Zhang, Chengyue Gong, Xingchao Liu, Pengcheng He, Weizhu Chen, Mingyuan Zhou:
ALLSH: Active Learning Guided by Local Sensitivity and Hardness. CoRR abs/2205.04980 (2022) - [i74]Zhendong Wang, Huangjie Zheng, Pengcheng He, Weizhu Chen, Mingyuan Zhou:
Diffusion-GAN: Training GANs with Diffusion. CoRR abs/2206.02262 (2022) - [i73]Zhendong Wang, Ruijiang Gao, Mingzhang Yin, Mingyuan Zhou, David M. Blei:
Probabilistic Conformal Prediction Using Conditional Random Samples. CoRR abs/2206.06584 (2022) - [i72]Shentao Yang, Yihao Feng, Shujian Zhang, Mingyuan Zhou:
Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning. CoRR abs/2206.07166 (2022) - [i71]Xizewen Han, Huangjie Zheng, Mingyuan Zhou:
CARD: Classification and Regression Diffusion Models. CoRR abs/2206.07275 (2022) - [i70]Dandan Guo, Zhuo Li, Meixi Zheng, He Zhao, Mingyuan Zhou, Hongyuan Zha:
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification. CoRR abs/2208.02951 (2022) - [i69]Zhendong Wang, Jonathan J. Hunt, Mingyuan Zhou:
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning. CoRR abs/2208.06193 (2022) - [i68]Dongsheng Wang, Chaojie Wang, Bo Chen, Mingyuan Zhou:
Ordinal Graph Gamma Belief Network for Social Recommender Systems. CoRR abs/2209.05106 (2022) - [i67]Dongsheng Wang, Yishi Xu, Miaoge Li, Zhibin Duan, Chaojie Wang, Bo Chen, Mingyuan Zhou:
Knowledge-Aware Bayesian Deep Topic Model. CoRR abs/2209.14228 (2022) - [i66]Dandan Guo, Long Tian, He Zhao, Mingyuan Zhou, Hongyuan Zha:
Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport. CoRR abs/2210.04144 (2022) - [i65]Shentao Yang, Shujian Zhang, Yihao Feng, Mingyuan Zhou:
A Unified Framework for Alternating Offline Model Training and Policy Learning. CoRR abs/2210.05922 (2022) - [i64]Yishi Xu, Dongsheng Wang, Bo Chen, Ruiying Lu, Zhibin Duan, Mingyuan Zhou:
HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding. CoRR abs/2210.10625 (2022) - 2021
- [j18]Liangjian Wen, Haoli Bai, Lirong He, Yiji Zhou, Mingyuan Zhou, Zenglin Xu:
Gradient estimation of information measures in deep learning. Knowl. Based Syst. 224: 107046 (2021) - [j17]Wei Yang, Yingliang Zhang, Jinwei Ye, Yu Ji, Zhong Li, Mingyuan Zhou, Jingyi Yu:
Structure From Motion on XSlit Cameras. IEEE Trans. Pattern Anal. Mach. Intell. 43(5): 1691-1704 (2021) - [j16]Hao Zhang, Bo Chen, Yulai Cong, Dandan Guo, Hongwei Liu, Mingyuan Zhou:
Deep Autoencoding Topic Model With Scalable Hybrid Bayesian Inference. IEEE Trans. Pattern Anal. Mach. Intell. 43(12): 4306-4322 (2021) - [c83]Zhibin Duan, Hao Zhang, Chaojie Wang, Zhengjue Wang, Bo Chen, Mingyuan Zhou:
EnsLM: Ensemble Language Model for Data Diversity by Semantic Clustering. ACL/IJCNLP (1) 2021: 2954-2967 - [c82]Ali Lotfi-Rezaabad, Rahi Kalantari, Sriram Vishwanath, Mingyuan Zhou, Jonathan I. Tamir:
Hyperbolic graph embedding with enhanced semi-implicit variational inference. AISTATS 2021: 3439-3447 - [c81]Rahi Kalantari, Mingyuan Zhou:
Graph Gamma Process Linear Dynamical Systems. AISTATS 2021: 4060-4068 - [c80]Mohammadreza Armandpour, Ali Sadeghian, Chunyuan Li, Mingyuan Zhou:
Partition-Guided GANs. CVPR 2021: 5099-5109 - [c79]Xinjie Fan, Qifei Wang, Junjie Ke, Feng Yang, Boqing Gong, Mingyuan Zhou:
Adversarially Adaptive Normalization for Single Domain Generalization. CVPR 2021: 8208-8217 - [c78]Yuqi Ding, Yu Ji, Mingyuan Zhou, Sing Bing Kang, Jinwei Ye:
Polarimetric Helmholtz Stereopsis. ICCV 2021: 5017-5026 - [c77]Xinjie Fan, Shujian Zhang, Korawat Tanwisuth, Xiaoning Qian, Mingyuan Zhou:
Contextual Dropout: An Efficient Sample-Dependent Dropout Module. ICLR 2021 - [c76]Aleksandar Dimitriev, Mingyuan Zhou:
ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables. ICML 2021: 2717-2727 - [c75]