Search Results for author: Jie Jiang

Found 29 papers, 9 papers with code

Visual Prompt Tuning for Few-Shot Text Classification

no code implementations COLING 2022 Jingyuan Wen, Yutian Luo, Nanyi Fei, Guoxing Yang, Zhiwu Lu, Hao Jiang, Jie Jiang, Zhao Cao

In few-shot text classification, a feasible paradigm for deploying VL-PTMs is to align the input samples and their category names via the text encoders.

Few-Shot Learning Few-Shot Text Classification +3

Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning

no code implementations19 Sep 2023 Ximei Wang, Junwei Pan, Xingzhuo Guo, Dapeng Liu, Jie Jiang

Multi-domain learning (MDL) aims to train a model with minimal average risk across multiple overlapping but non-identical domains.

Recommendation Systems

STEM: Unleashing the Power of Embeddings for Multi-task Recommendation

no code implementations16 Aug 2023 Liangcai Su, Junwei Pan, Ximei Wang, Xi Xiao, Shijie Quan, Xihua Chen, Jie Jiang

Surprisingly, negative transfer still occurs in existing MTL methods on samples that receive comparable feedback across tasks.

Multi-Task Learning Recommendation Systems

Temporal Interest Network for Click-Through Rate Prediction

1 code implementation15 Aug 2023 Haolin Zhou, Junwei Pan, Xinyi Zhou, Xihua Chen, Jie Jiang, Xiaofeng Gao, Guihai Chen

Our proposed TIN outperforms the best-performing baselines by 0. 43\% and 0. 29\% on two datasets, respectively.

Click-Through Rate Prediction

Global and Local Semantic Completion Learning for Vision-Language Pre-training

1 code implementation12 Jun 2023 Rong-Cheng Tu, Yatai Ji, Jie Jiang, Weijie Kong, Chengfei Cai, Wenzhe Zhao, Hongfa Wang, Yujiu Yang, Wei Liu

Therefore, in this paper, we propose a novel Global and Local Semantic Completion Learning (GLSCL) task to facilitate global-local alignment and local-local alignment simultaneously.

Language Modelling Masked Language Modeling +5

VLPD: Context-Aware Pedestrian Detection via Vision-Language Semantic Self-Supervision

1 code implementation CVPR 2023 Mengyin Liu, Jie Jiang, Chao Zhu, Xu-Cheng Yin

Firstly, we propose a self-supervised Vision-Language Semantic (VLS) segmentation method, which learns both fully-supervised pedestrian detection and contextual segmentation via self-generated explicit labels of semantic classes by vision-language models.

Autonomous Driving Pedestrian Detection

ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning

no code implementations30 Jan 2023 Junguang Jiang, Baixu Chen, Junwei Pan, Ximei Wang, Liu Dapeng, Jie Jiang, Mingsheng Long

Auxiliary-Task Learning (ATL) aims to improve the performance of the target task by leveraging the knowledge obtained from related tasks.

Multi-Task Learning

Tencent AVS: A Holistic Ads Video Dataset for Multi-modal Scene Segmentation

no code implementations9 Dec 2022 Jie Jiang, Zhimin Li, Jiangfeng Xiong, Rongwei Quan, Qinglin Lu, Wei Liu

Therefore, TAVS is distinguished from previous temporal segmentation datasets due to its multi-modal information, holistic view of categories, and hierarchical granularities.

Multi-Label Classification Scene Segmentation +2

AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning

no code implementations28 Nov 2022 Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo

In this paper, we propose to measure the task dominance degree of a parameter by the total updates of each task on this parameter.

Multi-Task Learning Recommendation Systems

Seeing What You Miss: Vision-Language Pre-training with Semantic Completion Learning

1 code implementation CVPR 2023 Yatai Ji, RongCheng Tu, Jie Jiang, Weijie Kong, Chengfei Cai, Wenzhe Zhao, Hongfa Wang, Yujiu Yang, Wei Liu

Cross-modal alignment is essential for vision-language pre-training (VLP) models to learn the correct corresponding information across different modalities.

Language Modelling Masked Language Modeling +5

AutoAttention: Automatic Field Pair Selection for Attention in User Behavior Modeling

no code implementations27 Oct 2022 Zuowu Zheng, Xiaofeng Gao, Junwei Pan, Qi Luo, Guihai Chen, Dapeng Liu, Jie Jiang

In this paper, we propose a novel model named AutoAttention, which includes all item/user/context side fields as the query, and assigns a learnable weight for each field pair between behavior fields and query fields.

Click-Through Rate Prediction

DPTNet: A Dual-Path Transformer Architecture for Scene Text Detection

no code implementations21 Aug 2022 Jingyu Lin, Jie Jiang, Yan Yan, Chunchao Guo, Hongfa Wang, Wei Liu, Hanzi Wang

We further propose a parallel design that integrates the convolutional network with a powerful self-attention mechanism to provide complementary clues between the attention path and convolutional path.

Scene Text Detection Text Detection

Tencent Text-Video Retrieval: Hierarchical Cross-Modal Interactions with Multi-Level Representations

no code implementations7 Apr 2022 Jie Jiang, Shaobo Min, Weijie Kong, Dihong Gong, Hongfa Wang, Zhifeng Li, Wei Liu

With multi-level representations for video and text, hierarchical contrastive learning is designed to explore fine-grained cross-modal relationships, i. e., frame-word, clip-phrase, and video-sentence, which enables HCMI to achieve a comprehensive semantic comparison between video and text modalities.

 Ranked #1 on Video Retrieval on MSVD (using extra training data)

Contrastive Learning Denoising +3

Exploiting Spatial-Temporal Semantic Consistency for Video Scene Parsing

no code implementations6 Sep 2021 Xingjian He, Weining Wang, Zhiyong Xu, Hao Wang, Jie Jiang, Jing Liu

Compared with image scene parsing, video scene parsing introduces temporal information, which can effectively improve the consistency and accuracy of prediction.

Scene Parsing

Pure Characteristics Demand Models and Distributionally Robust Mathematical Programs with Stochastic Complementarity Constraints

no code implementations9 Feb 2021 Jie Jiang, Xiaojun Chen

We formulate pure characteristics demand models under uncertainties of probability distributions as distributionally robust mathematical programs with stochastic complementarity constraints (DRMP-SCC).

Optimization and Control 90C15, 90C33, 90C26

New gedanken experiment on higher-dimensional asymptotically AdS Reissner-Nordström black hole

no code implementations16 Sep 2020 Ming Zhang, Jie Jiang

Viewing the negative cosmological constant as a dynamical quantity derived from the matter field, we study the weak cosmic censorship conjecture for the higher-dimensional asymptotically AdS Reissner-Nordstr\"om black hole.

General Relativity and Quantum Cosmology High Energy Physics - Theory

Scene Segmentation with Dual Relation-aware Attention Network

1 code implementation TNNLS 2020 Jun Fu, Jing Liu, Jie Jiang, Yong Li, Yongjun Bao, Hanqing Lu

We conduct extensive experiments to validate the effectiveness of our network and achieve new state-of-the-art segmentation performance on four challenging scene segmentation data sets, i. e., Cityscapes, ADE20K, PASCAL Context, and COCO Stuff data sets.

Scene Segmentation

The Joint Automated Repository for Various Integrated Simulations (JARVIS) for data-driven materials design

2 code implementations3 Jul 2020 Kamal Choudhary, Kevin F. Garrity, Andrew C. E. Reid, Brian DeCost, Adam J. Biacchi, Angela R. Hight Walker, Zachary Trautt, Jason Hattrick-Simpers, A. Gilad Kusne, Andrea Centrone, Albert Davydov, Jie Jiang, Ruth Pachter, Gowoon Cheon, Evan Reed, Ankit Agrawal, Xiaofeng Qian, Vinit Sharma, Houlong Zhuang, Sergei V. Kalinin, Bobby G. Sumpter, Ghanshyam Pilania, Pinar Acar, Subhasish Mandal, Kristjan Haule, David Vanderbilt, Karin Rabe, Francesca Tavazza

The Joint Automated Repository for Various Integrated Simulations (JARVIS) is an integrated infrastructure to accelerate materials discovery and design using density functional theory (DFT), classical force-fields (FF), and machine learning (ML) techniques.

Materials Science Computational Physics

Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning

no code implementations10 May 2020 Longteng Guo, Jing Liu, Xinxin Zhu, Xingjian He, Jie Jiang, Hanqing Lu

In this paper, we propose a Non-Autoregressive Image Captioning (NAIC) model with a novel training paradigm: Counterfactuals-critical Multi-Agent Learning (CMAL).

Image Captioning Machine Translation +2

KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion

1 code implementation Findings (ACL) 2021 Jie Zhou, Shengding Hu, Xin Lv, Cheng Yang, Zhiyuan Liu, Wei Xu, Jie Jiang, Juanzi Li, Maosong Sun

Based on the datasets, we propose novel tasks such as multi-hop knowledge abstraction (MKA), multi-hop knowledge concretization (MKC) and then design a comprehensive benchmark.

Knowledge Graphs Transfer Learning

AHash: A Load-Balanced One Permutation Hash

1 code implementation25 Sep 2019 Chenxingyu Zhao, Jie Gui, Yixiao Guo, Jie Jiang, Tong Yang, Bin Cui, Gong Zhang

Unlike the densification to fill the empty bins after they undesirably occur, our design goal is to balance the load so as to reduce the empty bins in advance.

X-Forest: Approximate Random Projection Trees for Similarity Measurement

1 code implementation25 Sep 2019 Yikai Zhao, Peiqing Chen, Zidong Zhao, Tong Yang, Jie Jiang, Bin Cui, Gong Zhang, Steve Uhlig

First, we introduced RP Trees into the tasks of similarity measurement such that accuracy is improved.

Static charged dilaton black hole cannot be overcharged by gedanken experiments

no code implementations5 Sep 2019 Jie Jiang, Banglin Deng, Zhaohui Chen

We consider the new version of the gedanken experiments proposed recently by Sorce and Wald to overcharge a static charged dilaton black hole.

High Energy Physics - Theory

Deep Learning Based Energy Disaggregation and On/Off Detection of Household Appliances

no code implementations3 Jul 2019 Jie Jiang, Qiuqiang Kong, Mark Plumbley, Nigel Gilbert

On the basis of energy disaggregation, we then investigate the performance of two deep-learning based frameworks for the task of on/off detection which aims at estimating whether an appliance is in operation or not.

Non-Intrusive Load Monitoring Total Energy

DENet: A Universal Network for Counting Crowd with Varying Densities and Scales

no code implementations17 Apr 2019 Lei Liu, Jie Jiang, Wenjing Jia, Saeed Amirgholipour, Michelle Zeibots, Xiangjian He

Counting people or objects with significantly varying scales and densities has attracted much interest from the research community and yet it remains an open problem.

Accelerated Discovery of Efficient Solar-cell Materials using Quantum and Machine-learning Methods

no code implementations15 Mar 2019 Kamal Choudhary, Marnik Bercx, Jie Jiang, Ruth Pachter, Dirk Lamoen, Francesca Tavazza

Solar-energy plays an important role in solving serious environmental problems and meeting high-energy demand.

Materials Science

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