Jingjing Liu

papers

3,227

total citations

papers (24)

Less Is More: ClipBERT for Video-and-Language Learning via Sparse Sampling

CVPR 2021arXiv

756

citations

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

NEURIPS 2020arXiv

540

citations

UNITER: UNiversal Image-TExt Representation Learning

ECCV 2020arXiv

469

citations

Generative Multimodal Models are In-Context Learners

CVPR 2024arXiv

438

citations

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

ECCV 2020arXiv

139

citations

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

NEURIPS 2021arXiv

citations

Universal Actions for Enhanced Embodied Foundation Models

CVPR 2025arXiv

citations

BachGAN: High-Resolution Image Synthesis From Salient Object Layout

CVPR 2020arXiv

citations

The Elastic Lottery Ticket Hypothesis

NEURIPS 2021arXiv

citations

DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening

NEURIPS 2023arXiv

citations

Adversarial Contrastive Learning via Asymmetric InfoNCE

ECCV 2022arXiv

citations

Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks

ICLR 2024arXiv

citations

Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack

CVPR 2023arXiv

citations

DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning

ICML 2024arXiv

citations

Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior

ICLR 2025arXiv

citations

Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion

ICML 2025arXiv

citations

ShortListing Model: A Streamlined Simplex Diffusion for Discrete Variable Generation

NEURIPS 2025

citations

Idempotent Learned Image Compression with Right-Inverse

NEURIPS 2023

citations

Jingjing Liu

papers (24)

Less Is More: ClipBERT for Video-and-Language Learning via Sparse Sampling

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

UNITER: UNiversal Image-TExt Representation Learning

Generative Multimodal Models are In-Context Learners

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

UC2: Universal Cross-Lingual Cross-Modal Vision-and-Language Pre-Training

Wasserstein Contrastive Representation Distillation

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

CapsFusion: Rethinking Image-Text Data at Scale

Diffusion-Based Planning for Autonomous Driving with Flexible Guidance

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

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

Universal Actions for Enhanced Embodied Foundation Models

BachGAN: High-Resolution Image Synthesis From Salient Object Layout

The Elastic Lottery Ticket Hypothesis

DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening

Adversarial Contrastive Learning via Asymmetric InfoNCE

Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks

Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack

DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning

Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior

Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion

ShortListing Model: A Streamlined Simplex Diffusion for Discrete Variable Generation

Idempotent Learned Image Compression with Right-Inverse

papers (24)

Less Is More: ClipBERT for Video-and-Language Learning via Sparse Sampling

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

UNITER: UNiversal Image-TExt Representation Learning

Generative Multimodal Models are In-Context Learners

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

UC2: Universal Cross-Lingual Cross-Modal Vision-and-Language Pre-Training

Wasserstein Contrastive Representation Distillation

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

CapsFusion: Rethinking Image-Text Data at Scale

Diffusion-Based Planning for Autonomous Driving with Flexible Guidance

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

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

Universal Actions for Enhanced Embodied Foundation Models

BachGAN: High-Resolution Image Synthesis From Salient Object Layout

The Elastic Lottery Ticket Hypothesis

DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening

Adversarial Contrastive Learning via Asymmetric InfoNCE

Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks

Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack

DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning

Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior

Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion

ShortListing Model: A Streamlined Simplex Diffusion for Discrete Variable Generation

Idempotent Learned Image Compression with Right-Inverse