Zhe Gan

发表

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).

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).

An Ontology-Based General Multi-scale Conceptual Model and its 3D GIS Application

Hong Chen, Zhe Gan, Yaoming Yang, 2009, 2009 Second International Symposium on Information Science and Engineering.

Distilling Knowledge Learned in BERT for Text Generation

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

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

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

Adaptive DCTNet for audio signal classification

Liang Lu, Zhe Gan, Yunchen Pu, 2017, ICASSP.

Multi-Fact Correction in Abstractive Text Summarization

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

FreeLB: Enhanced Adversarial Training for Natural Language Understanding

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

Adaptive DCTNet for audio signal classification

Liang Lu, Zhe Gan, Yunchen Pu, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Learning Deep Sigmoid Belief Networks with Data Augmentation

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

Adaptive Feature Abstraction for Translating Video to Text

Zhe Gan, Lawrence Carin, Martin Renqiang Min, 2018, AAAI.

UNITER: UNiversal Image-TExt Representation Learning

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

Deconvolutional Paragraph Representation Learning

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

StyleNet: Generating Attractive Visual Captions with Styles

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

Distilling the Knowledge of BERT for Text Generation pdf

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

Variational Autoencoder for Deep Learning of Images, Labels and Captions

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

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

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

Sequential Attention GAN for Interactive Image Editing via Dialogue pdf

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

Deep Generative Models for Vision and Language Intelligence

Zhe Gan, 2018 .

Factored Temporal Sigmoid Belief Networks for Sequence Learning pdf

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

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).

Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation pdf

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

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

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

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).

Unsupervised Learning of Sentence Representations using Convolutional Neural Networks pdf

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

A General Geo-spatial Multi-scale Conceptual Model for Automatic Generalization

Zhe Gan, Haiyan Jiang, Yaoming Yang, 2009, 2009 International Conference on Environmental Science and Information Application Technology.

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

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

Inference of gene networks associated with the host response to infectious disease

Zhe Gan, Xin Yuan, Lawrence Carin, 2016, Big Data over Networks.

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

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

Learning Generic Sentence Representations Using Convolutional Neural Networks

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

Deep Poisson Factor Modeling

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

Triangle Generative Adversarial Networks

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

Adversarial Feature Matching for Text Generation

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

Cross-Thought for Sentence Encoder Pre-training pdf

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

Improving Adversarial Text Generation by Modeling the Distant Future

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

Stein Variational Autoencoder pdf

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

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-step Reasoning via Recurrent Dual Attention for Visual Dialog

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

Adaptive Learning Rates with Maximum Variation Averaging pdf

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

APo-VAE: Text Generation in Hyperbolic Space pdf

Zhe Gan, Lawrence Carin, Chenyang Tao, 2020, ArXiv.

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

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

Research on dynamic tools integration model for sea battlefield environmental analysis

Hong Chen, Zhe Gan, Xiaoan Tang, 2008, 2008 International Conference on Information and Automation.

Domain Adaptive Text Style Transfer pdf

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

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

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

Adversarial Text Generation via Feature-Mover's Distance

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

Semantic Compositional Networks for Visual Captioning

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

Design and Realization of Task-Oriented Service Platform for Battlefield Environment Information

Zhe Gan, Yaoming Yang, Xiaoan Tang, 2009, 2009 Second International Symposium on Information Science and Engineering.

Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation pdf

Yu Cheng, Zhe Gan, Lawrence Carin, 2019, ArXiv.

Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling pdf

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

Unsupervised Learning with Truncated Gaussian Graphical Models pdf

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

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

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

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).

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

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

Adversarial Domain Adaptation for Machine Reading Comprehension

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

Patient Knowledge Distillation for BERT Model Compression

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

The function-reconfigurable integrated missile design environment and its key technologies

Zhe Gan, Fei Xiao, Guozheng Li, 2008, 2008 International Conference on Information and Automation.

Research on the Integration Techniques of Task-Oriented Geospatial Information Service for Battlefield

Zhe Gan, Xiaoan Tang, Haiyan Yang, 2009, 2009 International Conference on Environmental Science and Information Application Technology.

Character-level deep conflation for business data analytics

Zhe Gan, Jianfeng Gao, Li Deng, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Adaptive Feature Abstraction for Translating Video to Language pdf

Zhe Gan, Lawrence Carin, Martin Renqiang Min, 2017, ICLR.

Improving Sequence-to-Sequence Learning via Optimal Transport pdf

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

Accelerating Real-Time Question Answering via Question Generation pdf

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

Scalable Deep Poisson Factor Analysis for Topic Modeling

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

Nested-Wasserstein Self-Imitation Learning for Sequence Generation pdf

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

Stochastic Gradient Monomial Gamma Sampler

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

Discourse-Aware Neural Extractive Text Summarization

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

Deep Temporal Sigmoid Belief Networks for Sequence Modeling

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

Wasserstein Contrastive Representation Distillation pdf

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

Adversarial Symmetric Variational Autoencoder

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

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

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

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

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

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

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

Discourse-Aware Neural Extractive Model for Text Summarization pdf

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

Graph Optimal Transport for Cross-Domain Alignment pdf

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

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

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

Topic Compositional Neural Language Model

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

Contrastive Distillation on Intermediate Representations for Language Model Compression pdf

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

VAE Learning via Stein Variational Gradient Descent

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

Efficient Robust Training via Backward Smoothing pdf

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

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).

Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization

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

Sequential Attention GAN for Interactive Image Editing

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

Topic-Guided Variational Auto-Encoder for Text Generation pdf

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

Contextual Text Style Transfer

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

Hierarchical Graph Network for Multi-hop Question Answering

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

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

Yu Cheng, Zhe Gan, Jianfeng Gao, 2020, AAAI.

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

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

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

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

Sequence Generation with Guider Network pdf

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

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

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

Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization pdf

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

Generating Text via Adversarial Training

Zhe Gan, Lawrence Carin, Yizhe Zhang, 2016 .

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.

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

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

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

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

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).

The Elastic Lottery Ticket Hypothesis pdf

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

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

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

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

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

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

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

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

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

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

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

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

Zhe Gan, Chung-Ching Lin, Kevin Lin, 2021, ArXiv.

Wasserstein Contrastive Representation Distillation

Zhe Gan, Jingjing Liu, Lawrence Carin, 2021, 2021 IEEE/CVF 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..

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

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

Playing Lottery Tickets with Vision and Language pdf

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

Scaling Up Vision-Language Pre-training for Image Captioning pdf

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

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

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

APo-VAE: Text Generation in Hyperbolic Space

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

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

Zhe Gan, Lijuan Wang, Tsu-Jui Fu, 2021, ArXiv.

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

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

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

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

CUPID: Adaptive Curation of Pre-training Data for Video-and-Language Representation Learning pdf

Zhe Gan, Jingjing Liu, Lei Zhang, 2021, ArXiv.

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

Zhe Gan, Jingjing Liu, Zhangyang Wang, 2021 .

Injecting Semantic Concepts into End-to-End Image Captioning pdf

Zhe Gan, Yezhou Yang, Xiaowei Hu, 2021, ArXiv.

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).

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

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

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

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

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

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

UNITER: UNiversal Image-TExt Representation Learning

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

Hierarchical Graph Network for Multi-hop Question Answering

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

Graph Optimal Transport for Cross-Domain Alignment pdf

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

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

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