刘晶晶｜上海大学｜学者主页

2026

PolyOCR-Venus: Unified OCR Foundation Models for Text-Centric Visual Intelligence

GuangJian Team, Kaili Huang, Yongshuo Zhang, Bingtao Fu, Changjiang Jiang, Chenfan Qu, Chenfeng Zhang, Fangming Cui, Gaoyang Zhang, Jiangwei Xie, Jianshu Li, Jing Huang, Jingwen Bai, Mingqi Fang, Tao Fang, Weihong Zhang, Wenbo Du, Xiongfei Bai, Xuekang Zhu, Yinan Xia, Zhenming Wang, Jian Liu, Jingjing Liu, Xiang Qi, Weiqiang Wang

arXiv preprint

2026

Passing Tests, Missing Semantics: Evidence of Interpretive Lock-In in Plan-Based DataFrame Code Generation

Jingjing Liu, Dishu Yang, Hongbo Qin, Hansong Zhang

arXiv preprint

2026

Fake-HR1: Rethinking Reasoning of Vision Language Model for Synthetic Image Detection

Changjiang Jiang, Xinkuan Sha, Fengchang Yu, Jingjing Liu, Jian Liu, Mingqi Fang, Chenfeng Zhang, Wei Lu

arXiv preprint

2026

Can We Build a Monolithic Model for Fake Image Detection? SICA: Semantic-Induced Constrained Adaptation for Unified-Yet-Discriminative Artifact Feature Space Reconstruction

Bo Du, Xiaochen Ma, Xuekang Zhu, Zhe Yang, Chaogun Niu, Chenfan Qu, Mingqi Fang, Zhenming Wang, Jingjing Liu, Jian Liu, Ji-Zhe Zhou

arXiv preprint

2026

Balancing Privacy, Utility, and Safety in LLM Alignment through Preference Optimization

Dishu Yang, Jingjing Liu, Jize Li

arXiv preprint

2025

Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference

Yuxuan Song, Zheng Zhang, Cheng Luo, Pengyang Gao, Fan Xia, Hao Luo, Zheng Li, Yuehang Yang, Hongli Yu, Xingwei Qu, Yuwei Fu, Jing Su, Ge Zhang, Wenhao Huang, Mingxuan Wang, Lin Yan, Xiaoying Jia, Jingjing Liu, Wei-Ying Ma, Ya-Qin Zhang, Yonghui Wu, Hao Zhou

arXiv preprint

2025

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent

Hongli Yu, Tinghong Chen, Jiangtao Feng, Jiangjie Chen, Weinan Dai, Qiying Yu, Ya-Qin Zhang, Wei-Ying Ma, Jingjing Liu, Mingxuan Wang, Hao Zhou

arXiv preprint

2025

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

Tongda Xu, Xiyan Cai, Xinjie Zhang, Xingtong Ge, Dailan He, Ming Sun, Jingjing Liu, Ya-Qin Zhang, Jian Li, Yan Wang

arXiv preprint

2025

A Periodic Bayesian Flow for Material Generation

Hanlin Wu, Yuxuan Song, Jingjing Gong, Ziyao Cao, Yawen Ouyang, Jianbing Zhang, Hao Zhou, Wei-Ying Ma, Jingjing Liu

arXiv preprint

2025

ShortListing Model: A Streamlined SimplexDiffusion for Discrete Variable Generation

Yuxuan Song, Zhe Zhang, Yu Pei, Jingjing Gong, Qiying Yu, Zheng Zhang, Mingxuan Wang, Hao Zhou, Jingjing Liu, Wei-Ying Ma

arXiv preprint

2025

Med-CMR: A Fine-Grained Benchmark Integrating Visual Evidence and Clinical Logic for Medical Complex Multimodal Reasoning

Haozhen Gong, Xiaozhong Ji, Yuansen Liu, Wenbin Wu, Xiaoxiao Yan, Jingjing Liu, Kai Wu, Jiazhen Pan, Bailiang Jian, Jiangning Zhang, Xiaobin Hu, Hongwei Bran Li

arXiv preprint

2025

IROAM: Improving Roadside Monocular 3D Object Detection Learning from Autonomous Vehicle Data Domain

Zhe Wang, Xiaoliang Huo, Siqi Fan, Jingjing Liu, Ya-Qin Zhang, Yan Wang

arXiv preprint

2025

DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Qiying Yu, Zheng Zhang, Ruofei Zhu, Yufeng Yuan, Xiaochen Zuo, Yu Yue, Weinan Dai, Tiantian Fan, Gaohong Liu, Lingjun Liu, Xin Liu, Haibin Lin, Zhiqi Lin, Bole Ma, Guangming Sheng, Yuxuan Tong, Chi Zhang, Mofan Zhang, Wang Zhang, Hang Zhu, Jinhua Zhu, Jiaze Chen, Jiangjie Chen, Chengyi Wang, Hongli Yu, Yuxuan Song, Xiangpeng Wei, Hao Zhou, Jingjing Liu, Wei-Ying Ma, Ya-Qin Zhang, Lin Yan, Mu Qiao, Yonghui Wu, Mingxuan Wang

arXiv preprint

2025

CliniQ: A Multi-faceted Benchmark for Electronic Health Record Retrieval with Semantic Match Assessment

Zhengyun Zhao, Hongyi Yuan, Jingjing Liu, Haichao Chen, Huaiyuan Ying, Songchi Zhou, Yue Zhong, Sheng Yu

arXiv preprint

2025

CoopDETR: A Unified Cooperative Perception Framework for 3D Detection via Object Query

Zhe Wang, Shaocong Xu, Xucai Zhuang, Tongda Xu, Yan Wang, Jingjing Liu, Yilun Chen, Ya-Qin Zhang

arXiv preprint

2025

Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion

Tianyuan Zou, Yang Liu, Peng Li, Yufei Xiong, Jianqing Zhang, Jingjing Liu, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang

arXiv preprint

2024

Consistency Model is an Effective Posterior Sample Approximation for Diffusion Inverse Solvers

Tongda Xu, Ziran Zhu, Jian Li, Dailan He, Yuanyuan Wang, Ming Sun, Ling Li, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang

arXiv preprint

2024

Emu3: Next-Token Prediction is All You Need

Xinlong Wang, Xiaosong Zhang, Zhengxiong Luo, Quan Sun, Yufeng Cui, Jinsheng Wang, Fan Zhang, Yueze Wang, Zhen Li, Qiying Yu, Yingli Zhao, Yulong Ao, Xuebin Min, Tao Li, Boya Wu, Bo Zhao, Bowen Zhang, Liangdong Wang, Guang Liu, Zheqi He, Xi Yang, Jingjing Liu, Yonghua Lin, Tiejun Huang, Zhongyuan Wang

arXiv preprint

2024

EMIFF: Enhanced Multi-scale Image Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection

Zhe Wang, Siqi Fan, Xiaoliang Huo, Tongda Xu, Yan Wang, Jingjing Liu, Yilun Chen, Ya-Qin Zhang

arXiv preprint

2024

Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks

Yuxuan Song, Jingjing Gong, Yanru Qu, Hao Zhou, Mingyue Zheng, Jingjing Liu, Wei-Ying Ma

arXiv preprint

2024

Mesa-Extrapolation: A Weave Position Encoding Method for Enhanced Extrapolation in LLMs

Xin Ma, Yang Liu, Jingjing Liu, Xiaoxu Ma

arXiv preprint

2024

Refining Translations with LLMs: A Constraint-Aware Iterative Prompting Approach

Shangfeng Chen, Xiayang Shi, Pu Li, Yinlin Li, Jingjing Liu

arXiv preprint

2024

TextSleuth: Towards Explainable Tampered Text Detection

Chenfan Qu, Jian Liu, Haoxing Chen, Baihan Yu, Jingjing Liu, Weiqiang Wang, Lianwen Jin

arXiv preprint

2024

Idempotence and Perceptual Image Compression

Tongda Xu, Ziran Zhu, Dailan He, Yanghao Li, Lina Guo, Yuanyuan Wang, Zhe Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang

arXiv preprint

2024

Contextual Molecule Representation Learning from Chemical Reaction Knowledge

Han Tang, Shikun Feng, Bicheng Lin, Yuyan Ni, JIngjing Liu, Wei-Ying Ma, Yanyan Lan

arXiv preprint

2023

Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack

Hideaki Takahashi, Jingjing Liu, Yang Liu

arXiv preprint

2023

VIMI: Vehicle-Infrastructure Multi-view Intermediate Fusion for Camera-based 3D Object Detection

Zhe Wang, Siqi Fan, Xiaoliang Huo, Tongda Xu, Yan Wang, Jingjing Liu, Yilun Chen, Ya-Qin Zhang

arXiv preprint

2023

Calibration-free BEV Representation for Infrastructure Perception

Siqi Fan, Zhe Wang, Xiaoliang Huo, Yan Wang, Jingjing Liu

arXiv preprint

2023

SpiderMesh: Spatial-aware Demand-guided Recursive Meshing for RGB-T Semantic Segmentation

Siqi Fan, Zhe Wang, Yan Wang, Jingjing Liu

arXiv preprint

2023

Eliminating Label Leakage in Tree-Based Vertical Federated Learning

Hideaki Takahashi, Jingjing Liu, Yang Liu

arXiv preprint

2023

ADAPT: Action-aware Driving Caption Transformer

Bu Jin, Xinyu Liu, Yupeng Zheng, Pengfei Li, Hao Zhao, Tong Zhang, Yuhang Zheng, Guyue Zhou, Jingjing Liu

arXiv preprint

2023

DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening

Bowen Gao, Bo Qiang, Haichuan Tan, Minsi Ren, Yinjun Jia, Minsi Lu, Jingjing Liu, Weiying Ma, Yanyan Lan

arXiv preprint

2023

Machine learning's own Industrial Revolution

Yuan Luo, Song Han, Jingjing Liu

arXiv preprint

2023

CapsFusion: Rethinking Image-Text Data at Scale

Qiying Yu, Quan Sun, Xiaosong Zhang, Yufeng Cui, Fan Zhang, Yue Cao, Xinlong Wang, Jingjing Liu

arXiv preprint

2023

Bandwidth-efficient Inference for Neural Image Compression

Shanzhi Yin, Tongda Xu, Yongsheng Liang, Yuanyuan Wang, Yanghao Li, Yan Wang, Jingjing Liu

arXiv preprint

2023

Conditional Perceptual Quality Preserving Image Compression

Tongda Xu, Qian Zhang, Yanghao Li, Dailan He, Zhe Wang, Yuanyuan Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang

arXiv preprint

2023

Multimodal Federated Learning via Contrastive Representation Ensemble

Qiying Yu, Yang Liu, Yimu Wang, Ke Xu, Jingjing Liu

arXiv preprint

2023

Multimodal Molecular Pretraining via Modality Blending

Qiying Yu, Yudi Zhang, Yuyan Ni, Shikun Feng, Yanyan Lan, Hao Zhou, Jingjing Liu

arXiv preprint

2023

Generative Multimodal Models are In-Context Learners

Quan Sun, Yufeng Cui, Xiaosong Zhang, Fan Zhang, Qiying Yu, Zhengxiong Luo, Yueze Wang, Yongming Rao, Jingjing Liu, Tiejun Huang, Xinlong Wang

arXiv preprint

2023

Emu: Generative Pretraining in Multimodality

Quan Sun, Qiying Yu, Yufeng Cui, Fan Zhang, Xiaosong Zhang, Yueze Wang, Hongcheng Gao, Jingjing Liu, Tiejun Huang, Xinlong Wang

arXiv preprint

2022

Adversarial Contrastive Learning via Asymmetric InfoNCE

Qiying Yu, Jieming Lou, Xianyuan Zhan, Qizhang Li, Wangmeng Zuo, Yang Liu, Jingjing Liu

arXiv preprint

2022

Correcting the Sub-optimal Bit Allocation

Tongda Xu, Han Gao, Yuanyuan Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang

arXiv preprint

2022

Bit Allocation using Optimization

Tongda Xu, Han Gao, Chenjian Gao, Yuanyuan Wang, Dailan He, Jinyong Pi, Jixiang Luo, Ziyu Zhu, Mao Ye, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang

arXiv preprint

2021

LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval

Siqi Sun, Yen-Chun Chen, Linjie Li, Shuohang Wang, Yuwei Fang, Jingjing Liu

arXiv preprint

2021

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

Linjie Li, Jie Lei, Zhe Gan, Licheng Yu, Yen-Chun Chen, Rohit Pillai, Yu Cheng, Luowei Zhou, Xin Eric Wang, William Yang Wang, Tamara Lee Berg, Mohit Bansal, Jingjing Liu, Lijuan Wang, Zicheng Liu

arXiv preprint

2021

The Elastic Lottery Ticket Hypothesis

Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Jingjing Liu, Zhangyang Wang

arXiv preprint

2021

TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation

Jinyu Yang, Jingjing Liu, Ning Xu, Junzhou Huang

arXiv preprint

2021

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

Jie Lei, Linjie Li, Luowei Zhou, Zhe Gan, Tamara L. Berg, Mohit Bansal, Jingjing Liu

arXiv preprint

2021

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

Tianlong Chen, Yu Cheng, Zhe Gan, Jingjing Liu, Zhangyang Wang

arXiv preprint

2021

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

Linjie Li, Jie Lei, Zhe Gan, Jingjing Liu

arXiv preprint

2021

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

Luowei Zhou, Jingjing Liu, Yu Cheng, Zhe Gan, Lei Zhang

arXiv preprint

2021

Adversarial Feature Augmentation and Normalization for Visual Recognition

Tianlong Chen, Yu Cheng, Zhe Gan, Jianfeng Wang, Lijuan Wang, Zhangyang Wang, Jingjing Liu

arXiv preprint

2021

UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training

Mingyang Zhou, Luowei Zhou, Shuohang Wang, Yu Cheng, Linjie Li, Zhou Yu, Jingjing Liu

arXiv preprint

2021

Playing Lottery Tickets with Vision and Language

Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu, Lijuan Wang, Zicheng Liu

arXiv preprint

2020

Multi-Fact Correction in Abstractive Text Summarization

Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung, Jingjing Liu

arXiv preprint

2020

Self-Guided Adaptation: Progressive Representation Alignment for Domain Adaptive Object Detection

Zongxian Li, Qixiang Ye, Chong Zhang, Jingjing Liu, Shijian Lu, Yonghong Tian

arXiv preprint

2020

Contextual Text Style Transfer

Yu Cheng, Zhe Gan, Yizhe Zhang, Oussama Elachqar, Dianqi Li, Jingjing Liu

arXiv preprint

2020

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

Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu

arXiv preprint

2020

Accelerating Real-Time Question Answering via Question Generation

Yuwei Fang, Shuohang Wang, Zhe Gan, Siqi Sun, Jingjing Liu, Chenguang Zhu

arXiv preprint

2020

APo-VAE: Text Generation in Hyperbolic Space

Shuyang Dai, Zhe Gan, Yu Cheng, Chenyang Tao, Lawrence Carin, Jingjing Liu

arXiv preprint

2020

EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets

Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Zhangyang Wang, Jingjing Liu

arXiv preprint

2020

Cross-Thought for Sentence Encoder Pre-training

Shuohang Wang, Yuwei Fang, Siqi Sun, Zhe Gan, Yu Cheng, Jing Jiang, Jingjing Liu

arXiv preprint

2020

Graph Optimal Transport for Cross-Domain Alignment

Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu

arXiv preprint

2020

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

Linjie Li, Yen-Chun Chen, Yu Cheng, Zhe Gan, Licheng Yu, Jingjing Liu

arXiv preprint

2020

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

Jize Cao, Zhe Gan, Yu Cheng, Licheng Yu, Yen-Chun Chen, Jingjing Liu

arXiv preprint

2020

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

Linjie Li, Zhe Gan, Jingjing Liu

arXiv preprint

2020

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

Shuohang Wang, Luowei Zhou, Zhe Gan, Yen-Chun Chen, Yuwei Fang, Siqi Sun, Yu Cheng, Jingjing Liu

arXiv preprint

2020

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

Chen Zhu, Yu Cheng, Zhe Gan, Furong Huang, Jingjing Liu, Tom Goldstein

arXiv preprint

2020

Multi-level Head-wise Match and Aggregation in Transformer for Textual Sequence Matching

Shuohang Wang, Yunshi Lan, Yi Tay, Jing Jiang, Jingjing Liu

arXiv preprint

2020

BachGAN: High-Resolution Image Synthesis from Salient Object Layout

Yandong Li, Yu Cheng, Zhe Gan, Licheng Yu, Liqiang Wang, Jingjing Liu

arXiv preprint

2020

Wasserstein Contrastive Representation Distillation

Liqun Chen, Dong Wang, Zhe Gan, Jingjing Liu, Ricardo Henao, Lawrence Carin

arXiv preprint

2020

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

Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu

arXiv preprint

2020

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

Zhe Gan, Yen-Chun Chen, Linjie Li, Chen Zhu, Yu Cheng, Jingjing Liu

arXiv preprint

2020

Contrastive Distillation on Intermediate Representations for Language Model Compression

Siqi Sun, Zhe Gan, Yu Cheng, Yuwei Fang, Shuohang Wang, Jingjing Liu

arXiv preprint

2020

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

Yuwei Fang, Shuohang Wang, Zhe Gan, Siqi Sun, Jingjing Liu

arXiv preprint

2020

Efficient Robust Training via Backward Smoothing

Jinghui Chen, Yu Cheng, Zhe Gan, Quanquan Gu, Jingjing Liu

arXiv preprint

2019

Discourse-Aware Neural Extractive Text Summarization

Jiacheng Xu, Zhe Gan, Yu Cheng, Jingjing Liu

arXiv preprint

2019

Distilling Knowledge Learned in BERT for Text Generation

Yen-Chun Chen, Zhe Gan, Yu Cheng, Jingzhou Liu, Jingjing Liu

arXiv preprint

2019

Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog

Zhe Gan, Yu Cheng, Ahmed El Kholy, Linjie Li, Jingjing Liu, Jianfeng Gao

arXiv preprint

2019

Relation-Aware Graph Attention Network for Visual Question Answering

Linjie Li, Zhe Gan, Yu Cheng, Jingjing Liu

arXiv preprint

2019

Unsupervised Deep Structured Semantic Models for Commonsense Reasoning

Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Jing Jiang

arXiv preprint

2019

Hierarchical Graph Network for Multi-hop Question Answering

Yuwei Fang, Siqi Sun, Zhe Gan, Rohit Pillai, Shuohang Wang, Jingjing Liu

arXiv preprint

2019

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

Junjie Hu, Yu Cheng, Zhe Gan, Jingjing Liu, Jianfeng Gao, Graham Neubig

arXiv preprint

2019

Meta Module Network for Compositional Visual Reasoning

Wenhu Chen, Zhe Gan, Linjie Li, Yu Cheng, William Wang, Jingjing Liu

arXiv preprint

2019

Patient Knowledge Distillation for BERT Model Compression

Siqi Sun, Yu Cheng, Zhe Gan, Jingjing Liu

arXiv preprint

2019

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

Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha Srinivasa

arXiv preprint

2019

FreeLB: Enhanced Adversarial Training for Natural Language Understanding

Chen Zhu, Yu Cheng, Zhe Gan, Siqi Sun, Tom Goldstein, Jingjing Liu

arXiv preprint

2019

DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation

Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, Jingjing Liu, Bill Dolan

arXiv preprint

2019

A Hybrid Retrieval-Generation Neural Conversation Model

Liu Yang, Junjie Hu, Minghui Qiu, Chen Qu, Jianfeng Gao, W. Bruce Croft, Xiaodong Liu, Yelong Shen, Jingjing Liu

arXiv preprint

2019

Adversarial Domain Adaptation for Machine Reading Comprehension

Huazheng Wang, Zhe Gan, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Hongning Wang

arXiv preprint

2019

UNITER: UNiversal Image-TExt Representation Learning

Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, Jingjing Liu

arXiv preprint

2019

Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation

Shuyang Dai, Yu Cheng, Yizhe Zhang, Zhe Gan, Jingjing Liu, Lawrence Carin

arXiv preprint

2018

Switch-based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning

Yuexin Wu, Xiujun Li, Jingjing Liu, Jianfeng Gao, Yiming Yang

arXiv preprint

2018

Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning

Shang-Yu Su, Xiujun Li, Jianfeng Gao, Jingjing Liu, Yun-Nung Chen

arXiv preprint

2018

Microsoft Dialogue Challenge: Building End-to-End Task-Completion Dialogue Systems

Xiujun Li, Yu Wang, Siqi Sun, Sarah Panda, Jingjing Liu, Jianfeng Gao

arXiv preprint

2018

Sequential Attention GAN for Interactive Image Editing

Yu Cheng, Zhe Gan, Yitong Li, Jingjing Liu, Jianfeng Gao

arXiv preprint

2018

Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension

Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao

arXiv preprint

2018

ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension

Sheng Zhang, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Kevin Duh, Benjamin Van Durme

arXiv preprint

2018

StoryGAN: A Sequential Conditional GAN for Story Visualization

Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David Carlson, Jianfeng Gao

arXiv preprint

2018

Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning

Baolin Peng, Xiujun Li, Jianfeng Gao, Jingjing Liu, Kam-Fai Wong, Shang-Yu Su

arXiv preprint

2017

Language-Based Image Editing with Recurrent Attentive Models

Jianbo Chen, Yelong Shen, Jianfeng Gao, Jingjing Liu, Xiaodong Liu

arXiv preprint

2017

Adversarial Advantage Actor-Critic Model for Task-Completion Dialogue Policy Learning

Baolin Peng, Xiujun Li, Jianfeng Gao, Jingjing Liu, Yun-Nung Chen, Kam-Fai Wong

arXiv preprint

2017

Dynamic Fusion Networks for Machine Reading Comprehension

Yichong Xu, Jingjing Liu, Jianfeng Gao, Yelong Shen, Xiaodong Liu

arXiv preprint

2017

Image Disguise based on Generative Model

Xintao Duan, Haoxian Song, En Zhang, Jingjing Liu

arXiv preprint

精选作品

期刊论文

EWSbp-SNN: Error-Weighted STDP With Backpropagation for Data Classification in Spiking Neural Networks

A Scalable Channel-Parallel Accelerator for Spiking Neural Network

An Energy-Optimized FPGA Implementation for Convolutional Neural Networks Accelerator

IESSP: Information Extraction-Based Sparse Stripe Pruning Method for Deep Neural Networks

SSDM: Generated image interaction method based on spatial sparsity for diffusion models

DCAN: Dynamic Channel Attention Network for Multi-Scale Distortion Correction

An Efficient Sparse Blocks Inference Method for Image Editing Based on Diffusion Models

UnA-Mix: Rethinking Image Mixtures for Unsupervised Person Re-Identification

Moving object detection in gigapixel-level videos using manifold sparse representation

CCTSS: The Combination of CNN and Transformer with Shared Sublayer for Detection and Classification

基于可信计算应用的双域椭圆曲线密码协处理器研究与实现

基于Montgomery算法的RSA密码协处理器设计

DES算法的四相捆绑数据协议异步电路实现

面向NFC应用的DES/3DES算法研究与仿真实现

预印本

PolyOCR-Venus: Unified OCR Foundation Models for Text-Centric Visual Intelligence

Passing Tests, Missing Semantics: Evidence of Interpretive Lock-In in Plan-Based DataFrame Code Generation

Fake-HR1: Rethinking Reasoning of Vision Language Model for Synthetic Image Detection

Can We Build a Monolithic Model for Fake Image Detection? SICA: Semantic-Induced Constrained Adaptation for Unified-Yet-Discriminative Artifact Feature Space Reconstruction

Balancing Privacy, Utility, and Safety in LLM Alignment through Preference Optimization

Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent

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

A Periodic Bayesian Flow for Material Generation

ShortListing Model: A Streamlined SimplexDiffusion for Discrete Variable Generation

Med-CMR: A Fine-Grained Benchmark Integrating Visual Evidence and Clinical Logic for Medical Complex Multimodal Reasoning

IROAM: Improving Roadside Monocular 3D Object Detection Learning from Autonomous Vehicle Data Domain

DAPO: An Open-Source LLM Reinforcement Learning System at Scale

CliniQ: A Multi-faceted Benchmark for Electronic Health Record Retrieval with Semantic Match Assessment

CoopDETR: A Unified Cooperative Perception Framework for 3D Detection via Object Query

Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion

Consistency Model is an Effective Posterior Sample Approximation for Diffusion Inverse Solvers

Emu3: Next-Token Prediction is All You Need

EMIFF: Enhanced Multi-scale Image Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection

Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks

Mesa-Extrapolation: A Weave Position Encoding Method for Enhanced Extrapolation in LLMs

Refining Translations with LLMs: A Constraint-Aware Iterative Prompting Approach

TextSleuth: Towards Explainable Tampered Text Detection

Idempotence and Perceptual Image Compression

Contextual Molecule Representation Learning from Chemical Reaction Knowledge

Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack

VIMI: Vehicle-Infrastructure Multi-view Intermediate Fusion for Camera-based 3D Object Detection

Calibration-free BEV Representation for Infrastructure Perception

SpiderMesh: Spatial-aware Demand-guided Recursive Meshing for RGB-T Semantic Segmentation

Eliminating Label Leakage in Tree-Based Vertical Federated Learning

ADAPT: Action-aware Driving Caption Transformer

DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening

Machine learning's own Industrial Revolution

CapsFusion: Rethinking Image-Text Data at Scale

Bandwidth-efficient Inference for Neural Image Compression

Conditional Perceptual Quality Preserving Image Compression

Multimodal Federated Learning via Contrastive Representation Ensemble

Multimodal Molecular Pretraining via Modality Blending

Generative Multimodal Models are In-Context Learners

Emu: Generative Pretraining in Multimodality

Adversarial Contrastive Learning via Asymmetric InfoNCE

Correcting the Sub-optimal Bit Allocation

Bit Allocation using Optimization

LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval

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

The Elastic Lottery Ticket Hypothesis

TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation

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

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

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

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

Adversarial Feature Augmentation and Normalization for Visual Recognition

UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training

Playing Lottery Tickets with Vision and Language

Multi-Fact Correction in Abstractive Text Summarization

Self-Guided Adaptation: Progressive Representation Alignment for Domain Adaptive Object Detection

Contextual Text Style Transfer

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

Accelerating Real-Time Question Answering via Question Generation

APo-VAE: Text Generation in Hyperbolic Space

EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets

Cross-Thought for Sentence Encoder Pre-training

Graph Optimal Transport for Cross-Domain Alignment