Zhe Gan

发表

Topic Compositional Neural Language Model

Zhe Gan, Lawrence Carin, Dinghan Shen, 2017, AISTATS.

StyleNet: Generating Attractive Visual Captions with Styles

Zhe Gan, Jianfeng Gao, Li Deng, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Deep Sigmoid Belief Networks with Data Augmentation

Zhe Gan, Lawrence Carin, David E. Carlson, 2015, AISTATS.

AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks

Zhe Gan, Tao Xu, Han Zhang, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization pdf

Zhe Gan, Lawrence Carin, David E. Carlson, 2015, AISTATS.

Learning Weight Uncertainty with Stochastic Gradient MCMC for Shape Classification

Zhe Gan, Lawrence Carin, Yunchen Pu, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Adversarial Text Generation via Feature-Mover's Distance

Zhe Gan, Liqun Chen, Lawrence Carin, 2018, NeurIPS.

Nested-Wasserstein Distance for Sequence Generation

L. Carin, Zheng Wen, Wenlin Wang, 2019 .

2 Stein Learning of Variational Autoencoder ( Stein VAE ) 2

Ricardo Henao, L. Carin, Chunyuan Li, 2017 .

UNITER: Learning UNiversal Image-TExt Representations

Ahmed El Kholy, Faisal Ahmed, Licheng Yu, 2019, ECCV 2020.

A Closer Look at the Robustness of Vision-and-Language Pre-trained Models

Zhe Gan, Jingjing Liu, Linjie Li, 2020, ArXiv.

Adaptive Learning Rates with Maximum Variation Averaging

Furong Huang, T. Goldstein, Yu Cheng, 2020, ArXiv.

Efficient Robust Training via Backward Smoothing

Quanquan Gu, Yu Cheng, J. Chen, 2020, AAAI.

Cluster-Former: Clustering-based Sparse Transformer for Question Answering

Zhe Gan, Jingjing Liu, Shuohang Wang, 2021, FINDINGS.

An Empirical Study of Training End-to-End Vision-and-Language Transformers pdf

Zhe Gan, Nanyun Peng, Zi-Yi Dou, 2021, ArXiv.

The Elastic Lottery Ticket Hypothesis pdf

Zhe Gan, Jingjing Liu, Shuohang Wang, 2021, NeurIPS.

MLP Architectures for Vision-and-Language Modeling: An Empirical Study pdf

Zhe Gan, Shuohang Wang, Michael Zeng, 2021, ArXiv.

Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models pdf

Zhe Gan, Shuohang Wang, Jianfeng Gao, 2021, NeurIPS Datasets and Benchmarks.

EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets pdf

Zhe Gan, Jingjing Liu, Shuohang Wang, 2020, ACL.

Graph Optimal Transport for Cross-Domain Alignment pdf

Yu Cheng, Zhe Gan, Jingjing Liu, 2020, ICML.

LaTeX 2 e guide for authors using the EngC design Subtitle , if you

L. Carin, R. Henao, E. Tsalik, 2014 .

Distilling Knowledge Learned in BERT for Text Generation

Zhe Gan, Jingjing Liu, Yen-Chun Chen, 2019, ACL.

Meta Module Network for Compositional Visual Reasoning pdf

Wenhu Chen, Yu Cheng, Jingjing Liu, 2019, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

SwinBERT: End-to-End Transformers with Sparse Attention for Video Captioning

Faisal Ahmed, Zhe Gan, Kevin Lin, 2021, Computer Vision and Pattern Recognition.

LAVENDER: Unifying Video-Language Understanding as Masked Language Modeling

Zhe Gan, Kevin Lin, Lijuan Wang, 2022, ArXiv.

GIT: A Generative Image-to-text Transformer for Vision and Language

Zhe Gan, Kevin Lin, Lijuan Wang, 2022, ArXiv.

SwinBERT: End-to-End Transformers with Sparse Attention for Video Captioning

Faisal Ahmed, Zhe Gan, Kevin Lin, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis

Zhe Gan, Nan Duan, Chenfei Wu, 2022, ArXiv.

Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone

Yann LeCun, Jianfeng Gao, Zi-Yi Dou, 2022, ArXiv.

An Empirical Study of End-to-End Video-Language Transformers with Masked Visual Modeling

William Yang Wang, Tsu-Jui Fu, Zhe Gan, 2022, ArXiv.

An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA

Zhe Gan, Lijuan Wang, Zicheng Liu, 2021, AAAI.

Prompting GPT-3 To Be Reliable

Jordan L. Boyd-Graber, Zhe Gan, Shuohang Wang, 2022, ICLR.

GIT: A Generative Image-to-text Transformer for Vision and Language

Zhe Gan, Kevin Lin, Lijuan Wang, 2022, Trans. Mach. Learn. Res..

UniTAB: Unifying Text and Box Outputs for Grounded Vision-Language Modeling

Faisal Ahmed, Zhe Gan, Lijuan Wang, 2021, ECCV.

Non-Contrastive Learning Meets Language-Image Pre-Training

Li Dong, Furu Wei, Zhe Gan, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone

Yann LeCun, Jianfeng Gao, Zi-Yi Dou, 2022, ArXiv.

K-LITE: Learning Transferable Visual Models with External Knowledge

Trevor Darrell, K. Keutzer, Chunyuan Li, 2022, NeurIPS.

NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis

Zhe Gan, Nan Duan, Chenfei Wu, 2022, NeurIPS.

LAVENDER: Unifying Video-Language Understanding as Masked Language Modeling

Zhe Gan, Kevin Lin, Lijuan Wang, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

ReCo: Region-Controlled Text-to-Image Generation

Zhe Gan, Kevin Lin, Chenfei Wu, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Exploring Discrete Diffusion Models for Image Captioning

G. Hua, Zhe Gan, Han Hu, 2022, 2211.11694.

An Empirical Study of End-to-End Video-Language Transformers with Masked Visual Modeling

William Yang Wang, Tsu-Jui Fu, Zhe Gan, 2022, Computer Vision and Pattern Recognition.

Exploring Discrete Diffusion Models for Image Captioning

G. Hua, Zhe Gan, Han Hu, 2022, ArXiv.

GRiT: A Generative Region-to-text Transformer for Object Understanding

Zhe Gan, Junsong Yuan, Lijuan Wang, 2022, ArXiv.

Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone

Yann LeCun, Jianfeng Gao, Zi-Yi Dou, 2022, NeurIPS.

Generalized Decoding for Pixel, Image, and Language

Yong Jae Lee, Harkirat Singh Behl, Chunyuan Li, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Adversarial Symmetric Variational Autoencoder

Zhe Gan, Lawrence Carin, Liqun Chen, 2017, NIPS.

Crossing the Format Boundary of Text and Boxes: Towards Unified Vision-Language Modeling pdf

Zhe Gan, Lijuan Wang, Zicheng Liu, 2021, ArXiv.

UNITER: UNiversal Image-TExt Representation Learning

Yu Cheng, Zhe Gan, Licheng Yu, 2019, ECCV.

Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation

Siddhartha S. Srinivasa, Zhe Gan, Jianfeng Gao, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models pdf

Zhe Gan, Jingjing Liu, Jie Lei, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Unsupervised Learning with Truncated Gaussian Graphical Models pdf

Zhe Gan, Lawrence Carin, Chunyuan Li, 2016, AAAI.

CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information pdf

Zhe Gan, Lawrence Carin, Jiachang Liu, 2020, ICML.

An Empirical Study of Training End-to-End Vision-and-Language Transformers

Zi-Yi Dou, Zhe Gan, Shuohang Wang, 2021, Computer Vision and Pattern Recognition.

Large-Scale Adversarial Training for Vision-and-Language Representation Learning

Yu Cheng, Chen Zhu, Zhe Gan, 2020, NeurIPS.

Less is More: CLIPBERT for Video-and-Language Learning via Sparse Sampling

Zhe Gan, Jingjing Liu, Tamara L. Berg, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Scaling Up Vision-Language Pretraining for Image Captioning

Xiaowei Hu, Zhe Gan, Lijuan Wang, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Hero: Hierarchical Encoder for Video+Language Omni-representation Pre-training

Licheng Yu, Zhe Gan, Jingjing Liu, 2020, EMNLP.

VAE Learning via Stein Variational Gradient Descent

Zhe Gan, Lawrence Carin, Yunchen Pu, 2017, NIPS.

Multi-Label Learning from Medical Plain Text with Convolutional Residual Models

Xinyuan Zhang, Zhe Gan, Yitong Li, 2018, MLHC.

A distributed and integrated platform for missile’s parallel design

Zhe Gan, Fei Xiao, Min Chen, 2008, 2008 International Conference on Information and Automation.

Multi-Fact Correction in Abstractive Text Summarization

Jackie Chi Kit Cheung, Yu Cheng, Zhe Gan, 2020, EMNLP.

Improving Adversarial Text Generation by Modeling the Distant Future

Zhe Gan, Lawrence Carin, Dinghan Shen, 2020, ACL.

Nested-Wasserstein Self-Imitation Learning for Sequence Generation pdf

Zhe Gan, Lawrence Carin, Changyou Chen, 2020, AISTATS.

Distilling Knowledge Learned in BERT for Text Generation

Zhe Gan, Jingjing Liu, Yen-Chun Chen, 2019, ACL.

Discourse-Aware Neural Extractive Text Summarization

Yu Cheng, Zhe Gan, Jingjing Liu, 2019, ACL.

Discourse-Aware Neural Extractive Model for Text Summarization pdf

Zhe Gan, Jingjing Liu, Jiacheng Xu, 2019, ArXiv.

Distilling the Knowledge of BERT for Text Generation pdf

Zhe Gan, Jingjing Liu, Yen-Chun Chen, 2019, ArXiv.

Topic-Guided Variational Auto-Encoder for Text Generation pdf

Guoyin Wang, Zhe Gan, Lawrence Carin, 2019, NAACL.

Improving Sequence-to-Sequence Learning via Optimal Transport pdf

Zhe Gan, Haichao Zhang, Liqun Chen, 2019, ICLR.

Sequence Generation with Guider Network pdf

Guoyin Wang, Zhe Gan, Liqun Chen, 2018, ArXiv.

Deconvolutional Paragraph Representation Learning

Guoyin Wang, Zhe Gan, Lawrence Carin, 2017, NIPS.

Chasing Sparsity in Vision Transformers: An End-to-End Exploration pdf

Zhe Gan, Lu Yuan, Zhangyang Wang, 2021, NeurIPS.

Wasserstein Contrastive Representation Distillation pdf

Zhe Gan, Jingjing Liu, Lawrence Carin, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

UFO: A UniFied TransfOrmer for Vision-Language Representation Learning pdf

Zhe Gan, Lijuan Wang, Xiaowei Hu, 2021, ArXiv.

Violin: A Large-Scale Dataset for Video-and-Language Inference

Jingzhou Liu, Wenhu Chen, Zhe Gan, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Cluster-Former: Clustering-based Sparse Transformer for Question Answering

Yu Cheng, Zhe Gan, Shuohang Wang, 2020, FINDINGS.

Variational Autoencoder for Deep Learning of Images, Labels and Captions

Zhe Gan, Xin Yuan, Lawrence Carin, 2016, NIPS.

Hierarchical Graph Network for Multi-hop Question Answering

Zhe Gan, Jingjing Liu, Shuohang Wang, 2019, EMNLP.

JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets

Guoyin Wang, Zhe Gan, Lawrence Carin, 2018, ICML.

Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective

Zhangyang Wang, Zhe Gan, Jingjing Liu, 2021, NeurIPS.

Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly pdf

Zhe Gan, Jingjing Liu, Zhangyang Wang, 2021, ArXiv.

Vision-Language Pre-training: Basics, Recent Advances, and Future Trends

Jianfeng Gao, Zhe Gan, Lijuan Wang, 2022, Found. Trends Comput. Graph. Vis..

Adversarial Domain Adaptation for Machine Reading Comprehension

Xiaodong Liu, Zhe Gan, Jianfeng Gao, 2019, EMNLP.

BachGAN: High-Resolution Image Synthesis From Salient Object Layout

Yu Cheng, Zhe Gan, Licheng Yu, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Triangle Generative Adversarial Networks

Zhe Gan, Lawrence Carin, Liqun Chen, 2017, NIPS.

Injecting Semantic Concepts into End-to-End Image Captioning

Xiaowei Hu, Zhe Gan, Lijuan Wang, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Patient Knowledge Distillation for BERT Model Compression

Yu Cheng, Zhe Gan, Jingjing Liu, 2019, EMNLP.

EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets

Zhangyang Wang, Zhe Gan, Shuohang Wang, 2020, ACL.

Sequential Attention GAN for Interactive Image Editing

Jianfeng Gao, Yu Cheng, Zhe Gan, 2018, ACM Multimedia.

Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization

Zhe Gan, Jianfeng Gao, Xiujun Li, 2018, NeurIPS.

Generating Text via Adversarial Training

Zhe Gan, Lawrence Carin, Yizhe Zhang, 2016 .

Relation-Aware Graph Attention Network for Visual Question Answering

Yu Cheng, Zhe Gan, Jingjing Liu, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling

Tsu-Jui Fu, Zhe Gan, Kevin Lin, 2021, ArXiv.

Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models

Yu Cheng, Zhe Gan, Licheng Yu, 2020, ECCV.

InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective

Yu Cheng, R. Jia, Zhe Gan, 2020, ICLR.

FreeLB: Enhanced Adversarial Training for Natural Language Understanding

T. Goldstein, Yu Cheng, Chen Zhu, 2019, ICLR.

Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation

L. Carin, Yu Cheng, Zhe Gan, 2019, ACCV.

Playing Lottery Tickets with Vision and Language pdf

Zhe Gan, Jingjing Liu, Shuohang Wang, 2021, AAAI.

An Empirical Study of End-to-End Video-Language Transformers with Masked Visual Modeling

William Yang Wang, Tsu-Jui Fu, Zhe Gan, 2022, ArXiv.

VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation pdf

Zhe Gan, Jingjing Liu, Jie Lei, 2021, NeurIPS Datasets and Benchmarks.

What Makes A Good Story? Designing Composite Rewards for Visual Storytelling

Jianfeng Gao, Graham Neubig, Yu Cheng, 2019, AAAI.

Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog

Yu Cheng, Zhe Gan, Jianfeng Gao, 2019, ACL.

Improving Zero-shot Voice Style Transfer via Disentangled Representation Learning pdf

Zhe Gan, Lawrence Carin, Ruiyi Zhang, 2021, ICLR.

Meta Module Network for Compositional Visual Reasoning

Wenhu Chen, Zhe Gan, Jingjing Liu, 2019, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

Semantic Compositional Networks for Visual Captioning

Zhe Gan, Jianfeng Gao, Li Deng, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Adversarial Feature Augmentation and Normalization for Visual Recognition pdf

Zhe Gan, Jingjing Liu, Zhangyang Wang, 2021, Trans. Mach. Learn. Res..

Adversarial Feature Matching for Text Generation

Zhi Chen, Zhe Gan, Kai Fan, 2017, ICML.

TIGEr: Text-to-Image Grounding for Image Caption Evaluation

Zhe Gan, Jianfeng Gao, Qiuyuan Huang, 2019, EMNLP.

Contrastive Distillation on Intermediate Representations for Language Model Compression pdf

Yu Cheng, Zhe Gan, Jingjing Liu, 2020, EMNLP.

StoryGAN: A Sequential Conditional GAN for Story Visualization

Yu Cheng, Zhe Gan, Yelong Shen, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network pdf

Zhe Gan, Siwei Lyu, Jianfeng Gao, 2020, ACCV.

Domain Adaptive Text Style Transfer pdf

Yu Cheng, Zhe Gan, Ming-Ting Sun, 2019, EMNLP.

Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation pdf

Zhe Gan, Jianfeng Wang, Qiuyuan Huang, 2018, AAAI.

Contextual Text Style Transfer

Yu Cheng, Zhe Gan, Jingjing Liu, 2020, FINDINGS.

Diagnostic Benchmark and Iterative Inpainting for Layout-Guided Image Generation

Mohit Bansal, Zhe Gan, Lijuan Wang, 2023, ArXiv.

DISENTANGLED REPRESENTATION LEARNING

L. Carin, Zhe Gan, Ruiyi Zhang, 2021 .

An Empirical Study of End-to-End Video-Language Transformers with Masked Visual Modeling

William Yang Wang, Tsu-Jui Fu, Zhe Gan, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Deep Poisson Factor Modeling

Zhe Gan, Lawrence Carin, James Lu, 2015, NIPS.

Deep Temporal Sigmoid Belief Networks for Sequence Modeling

Zhe Gan, Lawrence Carin, David E. Carlson, 2015, NIPS.

APo-VAE: Text Generation in Hyperbolic Space

Zhe Gan, Jingjing Liu, Lawrence Carin, 2020, NAACL.

FILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding pdf

Zhe Gan, Jingjing Liu, Shuohang Wang, 2020, AAAI.

Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling pdf

Zhe Gan, Lawrence Carin, Yunchen Pu, 2016, ACL.

An Empirical Study of Multimodal Model Merging

Mohit Bansal, Zhe Gan, Kevin Lin, 2023, ArXiv.

Pointer: Constrained Text Generation via Insertion-based Generative Pre-training pdf

Zhe Gan, Yizhe Zhang, Chris Brockett, 2020, EMNLP.

! " ! " ! : Input Object " : Output Label : Hidden Units : Weight with 8 a fixed value : Weight with a distribution

L. Carin, Chunyuan Li, Changyou Chen, 2016 .

MaxVA: Fast Adaptation of Step Sizes by Maximizing Observed Variance of Gradients

Zhe Gan, Jingjing Liu, Tom Goldstein, 2020, ECML/PKDD.

Factored Temporal Sigmoid Belief Networks for Sequence Learning pdf

Zhe Gan, Lawrence Carin, Jiaming Song, 2016, ICML.

Stochastic Gradient Monomial Gamma Sampler

Zhe Gan, Lawrence Carin, Changyou Chen, 2017, ICML.

Scalable Deep Poisson Factor Analysis for Topic Modeling

Zhe Gan, Lawrence Carin, David E. Carlson, 2015, ICML.

Sequential Attention GAN for Interactive Image Editing

Yu Cheng, Zhe Gan, Jingjing Liu, 2018, ACM Multimedia.

Sequential Attention GAN for Interactive Image Editing via Dialogue pdf

Yu Cheng, Zhe Gan, Jianfeng Gao, 2018, ArXiv.

Graph-Driven Generative Models for Heterogeneous Multi-Task Learning pdf

Guoyin Wang, Zhe Gan, Liqun Chen, 2019, AAAI.

FreeLB: Enhanced Adversarial Training for Language Understanding

T. Goldstein, Chen Zhu, Zhe Gan, 2019, ICLR 2020.

Learning Generic Sentence Representations Using Convolutional Neural Networks

Zhe Gan, Lawrence Carin, Xiaodong He, 2016, EMNLP.

POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training

Zhe Gan, Yizhe Zhang, Chris Brockett, 2020, EMNLP.

Unsupervised Learning of Sentence Representations using Convolutional Neural Networks pdf

Zhe Gan, Lawrence Carin, Xiaodong He, 2016, ArXiv.

Cluster-Former: Clustering-based Sparse Transformer for Long-Range Dependency Encoding pdf

Yu Cheng, Zhe Gan, Jingjing Liu, 2020, ArXiv.

MOFI: Learning Image Representations from Noisy Entity Annotated Images

Jonathon Shlens, Yinfei Yang, Aleksei Timofeev, 2023, ArXiv.

Representation Learning

Dinghan Shen, Ricardo Henao, L. Carin, 2022, Graph Neural Networks: Foundations, Frontiers, and Applications.

Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE pdf

Zhe Gan, Lawrence Carin, Wenlian Lu, 2021, ArXiv.

Guiding Instruction-based Image Editing via Multimodal Large Language Models

William Yang Wang, Tsu-Jui Fu, Zhe Gan, 2023, ArXiv.

Stein Variational Autoencoder pdf

Zhe Gan, Lawrence Carin, Yunchen Pu, 2017, ArXiv.

Multimodal Foundation Models: From Specialists to General-Purpose Assistants

Jianfeng Gao, Zhe Gan, Lijuan Wang, 2023, Found. Trends Comput. Graph. Vis..

Wasserstein Contrastive Representation Distillation: Supplementary Material

Ricardo Henao, L. Carin, Liqun Chen, 2021 .

Cluster-Former: Clustering-based Sparse Transformer for Question Answering

Yu Cheng, Zhe Gan, Shuohang Wang, 2020, FINDINGS.

UNITER: UNiversal Image-TExt Representation Learning

Yu Cheng, Zhe Gan, Licheng Yu, 2019, ECCV.

Calculation and Assessment for HEMP Response of Overhead Transmission Line*

Zhe Gan, Jiangong Zhang, Jun Guo, 2022, 2022 Asia-Pacific International Symposium on Electromagnetic Compatibility (APEMC).

Reciprocating Magnetic Fields in the Pulsar Wind Observed from the Black Widow Pulsar J1720-0534

Zhe Gan, M. Mclaughlin, D. Champion, 2023, Research in Astronomy and Astrophysics.

MOFI: Learning Image Representations from Noisy Entity Annotated Images

Jonathon Shlens, Yinfei Yang, Aleksei Timofeev, 2023, ArXiv.

Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models – Supplementary Material

Zhe Gan, Jingjing Liu, Linjie Li, 2021 .

Prompting GPT-3 To Be Reliable

Jordan L. Boyd-Graber, Zhe Gan, Shuohang Wang, 2022, ICLR.

An Empirical Study of Multimodal Model Merging

Mohit Bansal, Zhe Gan, Kevin Lin, 2023, EMNLP.