Publications
Also on Google Scholar. Bold marks me; click BibTeX to copy a citation.
2026
Decoding Looped Transformers Better for (Almost) Free
arXiv preprint arXiv:2610.02185, 2026
@article{liu2026looped,
title={Decoding Looped Transformers Better for (Almost) Free},
author={Weihao Liu and Huangjie Zheng and Tianrong Chen and Rohit Dilip and Richard He Bai and Yizhu Jiao and Yuyang Wang and Ruixiang Zhang},
journal={arXiv preprint arXiv:2610.02185},
year={2026},
url={https://arxiv.org/abs/2610.02185}
}
Witness: Discovery, Deciphering, and Epiphany in Interactive Puzzle Environments
arXiv preprint arXiv:2609.32208, 2026
@article{ning2026witness,
title={Witness: Discovery, Deciphering, and Epiphany in Interactive Puzzle Environments},
author={Guanghan Ning and Ping Liu and Linyi Li and Huangjie Zheng and Arjun Neervannan and Huu Nguyen and Michael Sklar and Deniz Zorlu and Nicolai Ouporov},
journal={arXiv preprint arXiv:2609.32208},
year={2026},
url={https://arxiv.org/abs/2609.32208}
}
Roll Out and Roll Back: Diffusion LLMs are Their Own Efficiency Teachers
arXiv preprint arXiv:2605.16941, 2026
@article{zeng2026rollout,
title={Roll Out and Roll Back: Diffusion LLMs are Their Own Efficiency Teachers},
author={Fanqin Zeng and Feng Hong and Geng Yu and Huangjie Zheng and Xiaofeng Cao and Ya Zhang and Bo Han and Yanfeng Wang and Jiangchao Yao},
journal={arXiv preprint arXiv:2605.16941},
year={2026},
url={https://arxiv.org/abs/2605.16941}
}
Embarrassingly Simple Self-Distillation Improves Code Generation
arXiv preprint arXiv:2604.01193, 2026
@article{zhang2026selfdistill,
title={Embarrassingly Simple Self-Distillation Improves Code Generation},
author={Ruixiang Zhang and Richard He Bai and Huangjie Zheng and Navdeep Jaitly and Ronan Collobert and Yizhe Zhang},
journal={arXiv preprint arXiv:2604.01193},
year={2026},
url={https://arxiv.org/abs/2604.01193}
}
Rejection Mixing: Fast Semantic Propagation of Mask Tokens for Efficient DLLM Inference
arXiv preprint arXiv:2602.22868, 2026
@article{ye2026rejectionmixing,
title={Rejection Mixing: Fast Semantic Propagation of Mask Tokens for Efficient DLLM Inference},
author={Yushi Ye and Feng Hong and Huangjie Zheng and Xu Chen and Zhiyong Chen and Yanfeng Wang and Jiangchao Yao},
journal={arXiv preprint arXiv:2602.22868},
year={2026},
url={https://arxiv.org/abs/2602.22868}
}
Continuously Augmented Discrete Diffusion Model for Categorical Generative Modeling
International Conference on Learning Representations (ICLR), 2026
@inproceedings{zheng2026cadd,
title={Continuously Augmented Discrete Diffusion Model for Categorical Generative Modeling},
author={Huangjie Zheng and Shansan Gong and Ruixiang Zhang and Tianrong Chen and Jiatao Gu and Mingyuan Zhou and Navdeep Jaitly and Yizhe Zhang},
booktitle={International Conference on Learning Representations (ICLR)},
year={2026},
url={https://arxiv.org/abs/2510.01329}
}
Wide-In, Narrow-Out: Revokable Decoding for Efficient and Effective DLLMs
International Conference on Learning Representations (ICLR), 2026
@inproceedings{hong2026wino,
title={Wide-In, Narrow-Out: Revokable Decoding for Efficient and Effective DLLMs},
author={Feng Hong and Geng Yu and Yushi Ye and Haicheng Huang and Huangjie Zheng and Ya Zhang and Yanfeng Wang and Jiangchao Yao},
booktitle={International Conference on Learning Representations (ICLR)},
year={2026},
url={https://arxiv.org/abs/2507.18578}
}
DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation
International Conference on Learning Representations (ICLR), 2026
@inproceedings{gong2026diffucoder,
title={DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation},
author={Shansan Gong and Ruixiang Zhang and Huangjie Zheng and Jiatao Gu and Navdeep Jaitly and Lingpeng Kong and Yizhe Zhang},
booktitle={International Conference on Learning Representations (ICLR)},
year={2026},
url={https://arxiv.org/abs/2506.20639}
}
2025
Score Distillation of Flow Matching Models
arXiv preprint arXiv:2509.25127, 2025
@article{zhou2025sdfm,
title={Score Distillation of Flow Matching Models},
author={Mingyuan Zhou and Yi Gu and Huangjie Zheng and Liangchen Song and Guande He and Yizhe Zhang and Wenze Hu and Yinfei Yang},
journal={arXiv preprint arXiv:2509.25127},
year={2025},
url={https://arxiv.org/abs/2509.25127}
}
Generative Data Augmentation via Diffusion Distillation, Adversarial Alignment, and Importance Reweighting
Advances in Neural Information Processing Systems (NeurIPS), 2025
@inproceedings{an2025dargda,
title={Generative Data Augmentation via Diffusion Distillation, Adversarial Alignment, and Importance Reweighting},
author={Ruyi An and Haicheng Huang and Huangjie Zheng and Mingyuan Zhou},
booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
year={2025},
url={https://openreview.net/forum?id=fGOZjuzvJb}
}
ChipChat: Low-Latency Cascaded Conversational Agent in MLX
IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2025
@inproceedings{likhomanenko2025chipchat,
title={ChipChat: Low-Latency Cascaded Conversational Agent in MLX},
author={Tatiana Likhomanenko and Richard He Bai and Zijin Gu and Zakaria Aldeneh and Shiladitya Dutta and Luke Carlson and Han Tran and Yizhe Zhang and Ruixiang Zhang and Huangjie Zheng and Navdeep Jaitly},
booktitle={IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)},
year={2025},
url={https://arxiv.org/abs/2509.00078}
}
Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows
Advances in Neural Information Processing Systems (NeurIPS), 2025
@inproceedings{zhang2025tarflowlm,
title={Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows},
author={Ruixiang Zhang and Shuangfei Zhai and Jiatao Gu and Yizhe Zhang and Huangjie Zheng and Tianrong Chen and Miguel Angel Bautista and Josh Susskind and Navdeep Jaitly},
booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
year={2025},
url={https://arxiv.org/abs/2507.00425}
}
TADA: Improved Diffusion Sampling with Training-free Augmented Dynamics
Advances in Neural Information Processing Systems (NeurIPS), 2025
@inproceedings{chen2025tada,
title={TADA: Improved Diffusion Sampling with Training-free Augmented Dynamics},
author={Tianrong Chen and Huangjie Zheng and David Berthelot and Jiatao Gu and Josh Susskind and Shuangfei Zhai},
booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
year={2025},
url={https://arxiv.org/abs/2506.21757}
}
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis
Advances in Neural Information Processing Systems (NeurIPS) (Spotlight), 2025
@inproceedings{gu2025starflow,
title={STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis},
author={Jiatao Gu and Tianrong Chen and David Berthelot and Huangjie Zheng and Yuyang Wang and Ruixiang Zhang and Laurent Dinh and Miguel Angel Bautista and Josh Susskind and Shuangfei Zhai},
booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
year={2025},
url={https://arxiv.org/abs/2506.06276}
}
Normalizing Flows are Capable Generative Models
International Conference on Machine Learning (ICML) (Oral), 2025
@inproceedings{zhai2025tarflow,
title={Normalizing Flows are Capable Generative Models},
author={Shuangfei Zhai and Ruixiang Zhang and Preetum Nakkiran and David Berthelot and Jiatao Gu and Huangjie Zheng and Tianrong Chen and Miguel Angel Bautista and Navdeep Jaitly and Josh Susskind},
booktitle={International Conference on Machine Learning (ICML)},
year={2025},
url={https://arxiv.org/abs/2412.06329}
}
Adversarial Score Identity Distillation: Rapidly Surpassing the Teacher in One Step
International Conference on Learning Representations (ICLR), 2025
@inproceedings{zhou2025sida,
title={Adversarial Score Identity Distillation: Rapidly Surpassing the Teacher in One Step},
author={Mingyuan Zhou and Huangjie Zheng and Yi Gu and Zhendong Wang and Hai Huang},
booktitle={International Conference on Learning Representations (ICLR)},
year={2025},
url={https://arxiv.org/abs/2410.14919}
}
2024
Modality-Consistent Prompt Tuning with Optimal Transport
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024
@article{ren2024mcpt,
title={Modality-Consistent Prompt Tuning with Optimal Transport},
author={Hairui Ren and Fan Tang and Huangjie Zheng and He Zhao and Dandan Guo and Yi Chang},
journal={IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)},
year={2024}
}
MVTexGen: Synthesising 3D Textures Using Multi-view Diffusion
IEEE International Conference on Multimedia and Expo (ICME), 2024
@inproceedings{wang2024mvtexgen,
title={MVTexGen: Synthesising 3D Textures Using Multi-view Diffusion},
author={Jinyi Wang and Fei Ben and Huangjie Zheng and Jiangchao Yao and Ya Zhang and Yanfeng Wang},
booktitle={IEEE International Conference on Multimedia and Expo (ICME)},
year={2024}
}
What If We Recaption Billions of Web Images with LLaMA-3?
arXiv preprint arXiv:2406.08478, 2024
@article{li2024recap,
title={What If We Recaption Billions of Web Images with LLaMA-3?},
author={Xianhang Li and Haoqin Tu and Mude Hui and Zeyu Wang and Bingchen Zhao and Junfei Xiao and Sucheng Ren and Jieru Mei and Qing Liu and Huangjie Zheng and Yuyin Zhou and Cihang Xie},
journal={arXiv preprint arXiv:2406.08478},
year={2024},
url={https://arxiv.org/abs/2406.08478}
}
Guided Score Identity Distillation for Data-Free One-Step Text-to-Image Generation
arXiv preprint arXiv:2406.01561, 2024
@article{zhou2024sidlsg,
title={Guided Score Identity Distillation for Data-Free One-Step Text-to-Image Generation},
author={Mingyuan Zhou and Zhendong Wang and Huangjie Zheng and Hai Huang},
journal={arXiv preprint arXiv:2406.01561},
year={2024},
url={https://arxiv.org/abs/2406.01561}
}
Score Identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation
International Conference on Machine Learning (ICML), 2024
@inproceedings{zhou2024sid,
title={Score Identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation},
author={Mingyuan Zhou and Huangjie Zheng and Zhendong Wang and Mingzhang Yin and Hai Huang},
booktitle={International Conference on Machine Learning (ICML)},
year={2024},
url={https://arxiv.org/abs/2404.04057}
}
Long-tailed Diffusion Models with Oriented Calibration
International Conference on Learning Representations (ICLR), 2024
@inproceedings{zhang2024t2h,
title={Long-tailed Diffusion Models with Oriented Calibration},
author={Tianjiao Zhang and Huangjie Zheng and Jiangchao Yao and Xiangfeng Wang and Mingyuan Zhou and Ya Zhang and Yanfeng Wang},
booktitle={International Conference on Learning Representations (ICLR)},
year={2024},
url={https://openreview.net/forum?id=NW2s5XXwXU}
}
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling
International Conference on Learning Representations (ICLR), 2024
@inproceedings{zheng2024lego,
title={Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling},
author={Huangjie Zheng and Zhendong Wang and Jianbo Yuan and Guanghan Ning and Pengcheng He and Quanzeng You and Hongxia Yang and Mingyuan Zhou},
booktitle={International Conference on Learning Representations (ICLR)},
year={2024},
url={https://arxiv.org/abs/2310.06389}
}
2023
InfiMM-Eval: Complex Open-Ended Reasoning Evaluation for Multi-Modal Large Language Models
arXiv preprint arXiv:2311.11567, 2023
@article{han2023infimmeval,
title={InfiMM-Eval: Complex Open-Ended Reasoning Evaluation for Multi-Modal Large Language Models},
author={Xiaotian Han and Quanzeng You and Yongfei Liu and Wentao Chen and Huangjie Zheng and Khalil Mrini and Xudong Lin and Yiqi Wang and Bohan Zhai and Jianbo Yuan and Heng Wang and Hongxia Yang},
journal={arXiv preprint arXiv:2311.11567},
year={2023},
url={https://arxiv.org/abs/2311.11567}
}
Beta Diffusion
Advances in Neural Information Processing Systems (NeurIPS), 2023
@inproceedings{zhou2023betadiffusion,
title={Beta Diffusion},
author={Mingyuan Zhou and Tianqi Chen and Zhendong Wang and Huangjie Zheng},
booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
year={2023},
url={https://arxiv.org/abs/2309.07867}
}
Contrastive Attraction and Contrastive Repulsion for Representation Learning
Transactions on Machine Learning Research (TMLR), 2023
@article{zheng2023cacr,
title={Contrastive Attraction and Contrastive Repulsion for Representation Learning},
author={Huangjie Zheng and Xu Chen and Jiangchao Yao and Hongxia Yang and Chunyuan Li and Ya Zhang and Hao Zhang and Ivor Tsang and Jingren Zhou and Mingyuan Zhou},
journal={Transactions on Machine Learning Research (TMLR)},
year={2023},
url={https://arxiv.org/abs/2105.03746}
}
POUF: Prompt-Oriented Unsupervised Fine-tuning for Large Pre-trained Models
International Conference on Machine Learning (ICML), 2023
@inproceedings{tanwisuth2023pouf,
title={POUF: Prompt-Oriented Unsupervised Fine-tuning for Large Pre-trained Models},
author={Korawat Tanwisuth and Shujian Zhang and Huangjie Zheng and Pengcheng He and Mingyuan Zhou},
booktitle={International Conference on Machine Learning (ICML)},
year={2023},
url={https://arxiv.org/abs/2305.00350}
}
Class-Balancing Diffusion Models
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
@inproceedings{qin2023cbdm,
title={Class-Balancing Diffusion Models},
author={Yiming Qin and Huangjie Zheng and Jiangchao Yao and Mingyuan Zhou and Ya Zhang},
booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2023},
url={https://arxiv.org/abs/2305.00562}
}
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models
Advances in Neural Information Processing Systems (NeurIPS), 2023
@inproceedings{wang2023patchdiffusion,
title={Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models},
author={Zhendong Wang and Yifan Jiang and Huangjie Zheng and Peihao Wang and Pengcheng He and Zhangyang Wang and Weizhu Chen and Mingyuan Zhou},
booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
year={2023},
url={https://arxiv.org/abs/2304.12526}
}
Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, Alleviate Janus Problem and Beyond
arXiv preprint arXiv:2304.04968, 2023
@article{armandpour2023perpneg,
title={Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, Alleviate Janus Problem and Beyond},
author={Mohammadreza Armandpour and Ali Sadeghian and Huangjie Zheng and Amir Sadeghian and Mingyuan Zhou},
journal={arXiv preprint arXiv:2304.04968},
year={2023},
url={https://arxiv.org/abs/2304.04968}
}
DR2: Diffusion-based Robust Degradation Remover for Blind Face Restoration
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
@inproceedings{wang2023dr2,
title={DR2: Diffusion-based Robust Degradation Remover for Blind Face Restoration},
author={Zhixin Wang and Xiaoyun Zhang and Ziying Zhang and Huangjie Zheng and Mingyuan Zhou and Ya Zhang and Yanfeng Wang},
booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2023},
url={https://arxiv.org/abs/2303.06885}
}
Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders
International Conference on Learning Representations (ICLR), 2023
@inproceedings{zheng2023tdpm,
title={Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders},
author={Huangjie Zheng and Pengcheng He and Weizhu Chen and Mingyuan Zhou},
booktitle={International Conference on Learning Representations (ICLR)},
year={2023},
url={https://arxiv.org/abs/2202.09671}
}
Diffusion-GAN: Training GANs with Diffusion
International Conference on Learning Representations (ICLR), 2023
@inproceedings{wang2023diffusiongan,
title={Diffusion-GAN: Training GANs with Diffusion},
author={Zhendong Wang and Huangjie Zheng and Pengcheng He and Weizhu Chen and Mingyuan Zhou},
booktitle={International Conference on Learning Representations (ICLR)},
year={2023},
url={https://arxiv.org/abs/2206.02262}
}
2022
CARD: Classification and Regression Diffusion Models
Advances in Neural Information Processing Systems (NeurIPS), 2022
@inproceedings{han2022card,
title={CARD: Classification and Regression Diffusion Models},
author={Xizewen Han and Huangjie Zheng and Mingyuan Zhou},
booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
year={2022},
url={https://arxiv.org/abs/2206.07275}
}
Mixing and Shifting: Exploiting Global and Local Dependencies in Vision MLPs
arXiv preprint arXiv:2202.06510, 2022
@article{zheng2022msmlp,
title={Mixing and Shifting: Exploiting Global and Local Dependencies in Vision MLPs},
author={Huangjie Zheng and Pengcheng He and Weizhu Chen and Mingyuan Zhou},
journal={arXiv preprint arXiv:2202.06510},
year={2022},
url={https://arxiv.org/abs/2202.06510}
}
Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings
International Conference on Learning Representations (ICLR), 2022
@inproceedings{wang2022wete,
title={Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings},
author={Dongsheng Wang and Dandan Guo and He Zhao and Huangjie Zheng and Korawat Tanwisuth and Bo Chen and Mingyuan Zhou},
booktitle={International Conference on Learning Representations (ICLR)},
year={2022},
url={https://openreview.net/forum?id=IYMuTbGzjFU}
}
2021
Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions
Advances in Neural Information Processing Systems (NeurIPS), 2021
@inproceedings{zheng2021act,
title={Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions},
author={Huangjie Zheng and Mingyuan Zhou},
booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
year={2021},
url={https://arxiv.org/abs/2012.14100}
}
Alignment Attention by Matching Key and Query Distributions
Advances in Neural Information Processing Systems (NeurIPS), 2021
@inproceedings{zhang2021alignment,
title={Alignment Attention by Matching Key and Query Distributions},
author={Shujian Zhang and Xinjie Fan and Huangjie Zheng and Korawat Tanwisuth and Mingyuan Zhou},
booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
year={2021},
url={https://arxiv.org/abs/2110.12567}
}
A Prototype-Oriented Framework for Unsupervised Domain Adaptation
Advances in Neural Information Processing Systems (NeurIPS), 2021
@inproceedings{tanwisuth2021pct,
title={A Prototype-Oriented Framework for Unsupervised Domain Adaptation},
author={Korawat Tanwisuth and Xinjie Fan and Huangjie Zheng and Shujian Zhang and Hao Zhang and Bo Chen and Mingyuan Zhou},
booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
year={2021},
url={https://arxiv.org/abs/2110.12024}
}
2020
MCMC-Interactive Variational Inference
arXiv preprint arXiv:2010.02029, 2020
@article{zhang2020mivi,
title={MCMC-Interactive Variational Inference},
author={Quan Zhang and Huangjie Zheng and Mingyuan Zhou},
journal={arXiv preprint arXiv:2010.02029},
year={2020},
url={https://arxiv.org/abs/2010.02029}
}
Learning on Attribute-Missing Graphs
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
@article{chen2020nag,
title={Learning on Attribute-Missing Graphs},
author={Xu Chen and Siheng Chen and Jiangchao Yao and Huangjie Zheng and Ya Zhang and Ivor W. Tsang},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
year={2020},
url={https://arxiv.org/abs/1907.09708}
}
2019
Understanding VAEs in Fisher-Shannon Plane
AAAI Conference on Artificial Intelligence (AAAI), 2019
@inproceedings{zheng2019fishervae,
title={Understanding VAEs in Fisher-Shannon Plane},
author={Huangjie Zheng and Jiangchao Yao and Ya Zhang and Ivor W. Tsang and Jia Wang},
booktitle={AAAI Conference on Artificial Intelligence (AAAI)},
year={2019},
url={https://arxiv.org/abs/1807.03723}
}
Elastic Boundary Projection for 3D Medical Image Segmentation
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
@inproceedings{ni2019ebp,
title={Elastic Boundary Projection for 3D Medical Image Segmentation},
author={Tianwei Ni and Lingxi Xie and Huangjie Zheng and Elliot K. Fishman and Alan L. Yuille},
booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2019},
url={https://arxiv.org/abs/1812.00518}
}
2018
Phase Collaborative Network for Multi-Phase Medical Imaging Segmentation
arXiv preprint arXiv:1811.11814, 2018
@article{zheng2018pcn,
title={Phase Collaborative Network for Multi-Phase Medical Imaging Segmentation},
author={Huangjie Zheng and Lingxi Xie and Tianwei Ni and Ya Zhang and Yan-Feng Wang and Qi Tian and Elliot K. Fishman and Alan L. Yuille},
journal={arXiv preprint arXiv:1811.11814},
year={2018},
url={https://arxiv.org/abs/1811.11814}
}
Learning and Applying Ontology for Machine Learning in Cyber Attack Detection
IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom/BigDataSE), 2018
@inproceedings{zheng2018ontology,
title={Learning and Applying Ontology for Machine Learning in Cyber Attack Detection},
author={Huangjie Zheng and Yuchen Wang and Chen Han and Fangjie Le and Ruan He and Jialiang Lu},
booktitle={IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom/BigDataSE)},
year={2018},
url={https://ieeexplore.ieee.org/abstract/document/8456049}
}
Degeneration in VAE: in the Light of Fisher Information Loss
arXiv preprint arXiv:1802.06677, 2018
@article{zheng2018degeneration,
title={Degeneration in VAE: in the Light of Fisher Information Loss},
author={Huangjie Zheng and Jiangchao Yao and Ya Zhang and Ivor W. Tsang},
journal={arXiv preprint arXiv:1802.06677},
year={2018},
url={https://arxiv.org/abs/1802.06677}
}
2017
Describing Geographical Characteristics with Social Images
International Conference on Multimedia Modeling (MMM), 2017
@inproceedings{zheng2017describing,
title={Describing Geographical Characteristics with Social Images},
author={Huangjie Zheng and Jiangchao Yao and Ya Zhang},
booktitle={International Conference on Multimedia Modeling (MMM)},
year={2017},
url={https://link.springer.com/chapter/10.1007/978-3-319-51811-4_10}
}
No publications match.