1 code implementation • EMNLP 2021 • Shitao Xiao, Zheng Liu, Yingxia Shao, Defu Lian, Xing Xie
In this work, we propose the Matching-oriented Product Quantization (MoPQ), where a novel objective Multinoulli Contrastive Loss (MCL) is formulated.
no code implementations • Findings (EMNLP) 2021 • Shuxian Bi, Chaozhuo Li, Xiao Han, Zheng Liu, Xing Xie, Haizhen Huang, Zengxuan Wen
As the fundamental basis of sponsored search, relevance modeling has attracted increasing attention due to the tremendous practical value.
no code implementations • ECNLP (ACL) 2022 • Zheng Liu, Wei zhang, Yan Chen, Weiyi Sun, Tianchuan Du, Benjamin Schroeder
Recently, semantic search has been successfully applied to E-commerce product search and the learned semantic space for query and product encoding are expected to generalize well to unseen queries or products.
1 code implementation • 13 May 2024 • Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
Recent breakthroughs in large models have highlighted the critical significance of data scale, labels and modals.
1 code implementation • 30 Apr 2024 • Peitian Zhang, Ninglu Shao, Zheng Liu, Shitao Xiao, Hongjin Qian, Qiwei Ye, Zhicheng Dou
We extend the context length of Llama-3-8B-Instruct from 8K to 80K via QLoRA fine-tuning.
no code implementations • 25 Apr 2024 • Zhihao Zhu, Ninglu Shao, Defu Lian, Chenwang Wu, Zheng Liu, Yi Yang, Enhong Chen
Large language models (LLMs) show early signs of artificial general intelligence but struggle with hallucinations.
1 code implementation • 21 Apr 2024 • Kelong Mao, Chenlong Deng, Haonan Chen, Fengran Mo, Zheng Liu, Tetsuya Sakai, Zhicheng Dou
Conversational search requires accurate interpretation of user intent from complex multi-turn contexts.
no code implementations • 18 Feb 2024 • Kun Luo, Zheng Liu, Shitao Xiao, Kang Liu
In this work, we proposeExtensible Embedding, which realizes high-quality extension of LLM's context with strong flexibility and cost-effectiveness.
no code implementations • 18 Feb 2024 • Ninglu Shao, Shitao Xiao, Zheng Liu, Peitian Zhang
2) Strong sample efficiency of training, which enables the embedding model to be learned in a cost-effective way.
1 code implementation • 18 Feb 2024 • Yujia Zhou, Zheng Liu, Jiajie Jin, Jian-Yun Nie, Zhicheng Dou
Drawing from cognitive psychology, metacognition allows an entity to self-reflect and critically evaluate its cognitive processes.
no code implementations • 15 Feb 2024 • Hongjin Qian, Zheng Liu, Kelong Mao, Yujia Zhou, Zhicheng Dou
These strategies not only improve the efficiency of the retrieval process but also ensure that the fidelity of the generated grounding text evidence is maintained.
1 code implementation • 5 Feb 2024 • Jianlv Chen, Shitao Xiao, Peitian Zhang, Kun Luo, Defu Lian, Zheng Liu
It can simultaneously perform the three common retrieval functionalities of embedding model: dense retrieval, multi-vector retrieval, and sparse retrieval, which provides a unified model foundation for real-world IR applications.
1 code implementation • 15 Jan 2024 • Ninglu Shao, Shitao Xiao, Zheng Liu, Peitian Zhang
Extensible Tokenization stands as a midware in between of the tokenized context and the LLM, which transforms the raw token embeddings into the extensible embeddings.
1 code implementation • 12 Jan 2024 • Yutao Zhu, Peitian Zhang, Chenghao Zhang, Yifei Chen, Binyu Xie, Zhicheng Dou, Zheng Liu, Ji-Rong Wen
Despite this, their application to information retrieval (IR) tasks is still challenging due to the infrequent occurrence of many IR-specific concepts in natural language.
1 code implementation • 7 Jan 2024 • Peitian Zhang, Zheng Liu, Shitao Xiao, Ninglu Shao, Qiwei Ye, Zhicheng Dou
Although the context window can be extended through fine-tuning, it will result in a considerable cost at both training and inference time, and exert an unfavorable impact to the LLM's original capabilities.
1 code implementation • 24 Dec 2023 • Chaofan Li, Zheng Liu, Shitao Xiao, Yingxia Shao
LLaRA consists of two pretext tasks: EBAE (Embedding-Based Auto-Encoding) and EBAR (Embedding-Based Auto-Regression), where the text embeddings from LLM are used to reconstruct the tokens for the input sentence and predict the tokens for the next sentence, respectively.
1 code implementation • 22 Nov 2023 • Shitao Xiao, Zheng Liu, Peitian Zhang, Xingrun Xing
Despite simplicity, LM-Cocktail is surprisingly effective: the resulted model is able to achieve a strong empirical performance in the whole scope of general tasks while preserving a superior capacity in its targeted domain.
no code implementations • 15 Nov 2023 • Zheng Liu, Honggang Qi
Most of the existing methods need to train corresponding models for compressed videos with different quantization parameters to improve the quality of compressed videos.
1 code implementation • 11 Oct 2023 • Peitian Zhang, Shitao Xiao, Zheng Liu, Zhicheng Dou, Jian-Yun Nie
On the other hand, the task-specific retrievers lack the required versatility, hindering their performance across the diverse retrieval augmentation scenarios.
2 code implementations • 14 Sep 2023 • Shitao Xiao, Zheng Liu, Peitian Zhang, Niklas Muennighoff, Defu Lian, Jian-Yun Nie
Along with our resources on general Chinese embedding, we release our data and models for English text embeddings.
no code implementations • 29 Aug 2023 • Yuying Jiang, Fan Bai, ZiCheng Zhang, Xiaochen Ye, Zheng Liu, Zhiping Shi, Jianwei Yao, Xiaojun Liu, Fangkun Zhu, Junling Li Qian Guo, Xiaoan Wang, Junwen Luo
Here we develop a consumer-tier Visual-Brain Machine Inteface(V-BMI) system specialized for Augmented Reality(AR) glasses interactions.
no code implementations • 22 Aug 2023 • Zheng Liu, Xiaohan Li, Philip Yu
The fairness issue of clinical data modeling, especially on Electronic Health Records (EHRs), is of utmost importance due to EHR's complex latent structure and potential selection bias.
no code implementations • 31 Jul 2023 • Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Defu Lian, Enhong Chen
The advent of large language models marks a revolutionary breakthrough in artificial intelligence.
1 code implementation • 23 May 2023 • Peitian Zhang, Zheng Liu, Yujia Zhou, Zhicheng Dou, Fangchao Liu, Zhao Cao
On top of the term-set DocID, we propose a permutation-invariant decoding algorithm, with which the term set can be generated in any permutation yet will always lead to the corresponding document.
1 code implementation • 4 May 2023 • Shitao Xiao, Zheng Liu, Yingxia Shao, Zhao Cao
It is designed to improve the quality of semantic representation where all contextualized embeddings of the pre-trained model can be leveraged.
no code implementations • 29 Apr 2023 • Zheng Liu, Fu Zhang
However, the accuracy and speed of LiDAR bundle adjustment depend on the quality of plane extraction, which provides point association for LiDAR BA.
1 code implementation • 24 Apr 2023 • Haitao Li, Qingyao Ai, Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Zheng Liu, Zhao Cao
Unfortunately, while ANN can improve the efficiency of DR models, it usually comes with a significant price on retrieval performance.
no code implementations • 21 Apr 2023 • Juan Zhong, Zheng Liu, Xi Chen
The paper also highlights the challenges, trends, and current insights in Transformer-based models, addressing their hardware deployment and acceleration issues within the context of long-term autonomous driving applications.
1 code implementation • 10 Apr 2023 • Hongjing Qian, Yutao Zhu, Zhicheng Dou, Haoqi Gu, Xinyu Zhang, Zheng Liu, Ruofei Lai, Zhao Cao, Jian-Yun Nie, Ji-Rong Wen
In this paper, we introduce a new NLP task -- generating short factual articles with references for queries by mining supporting evidence from the Web.
no code implementations • 24 Mar 2023 • Zulong Liu, Kejia-Chen, Zheng Liu
Firstly, a Pagerank-based sampling strategy is designed to identify hub nodes and tail nodes in the graph.
no code implementations • 10 Jan 2023 • Xiaohan Li, Yuqing Liu, Zheng Liu, Philip S. Yu
TA-HGAT is built in a hyperbolic space to learn the hierarchical structure of session graphs.
1 code implementation • CVPR 2023 • Ling Zhang, Yinghao He, Qing Zhang, Zheng Liu, Xiaolong Zhang, Chunxia Xiao
In this paper, we present a color-aware background extraction network (CBENet) for extracting a spatially varying background image that accurately depicts the background colors of the document.
1 code implementation • 30 Nov 2022 • Jing Yao, Zheng Liu, Junhan Yang, Zhicheng Dou, Xing Xie, Ji-Rong Wen
In the first stage, a lightweight CNN-based ad-hod neighbor selector is deployed to filter useful neighbors for the matching task with a small computation cost.
1 code implementation • 16 Nov 2022 • Shitao Xiao, Zheng Liu
DupMAE, which targets on improving the semantic representation capacity for the contextualized embeddings of both [CLS] and ordinary tokens.
Ranked #1 on Information Retrieval on MS MARCO (MRR@10 metric)
no code implementations • 16 Nov 2022 • Xiaohan Li, Zheng Liu, Luyi Ma, Kaushiki Nag, Stephen Guo, Philip Yu, Kannan Achan
Considering the influence of historical purchases on users' future interests, the user and item representations can be viewed as unobserved confounders in the causal diagram.
no code implementations • 28 Oct 2022 • Zheng Liu, Xiaohan Li, Philip Yu
First, these methods usually mean a trade-off between the model's performance and fairness.
no code implementations • 27 Oct 2022 • Yuxing Tian, Zheng Liu, Yanwen Qu, Song Li, Jiachi Luo
This paper proposes a new GNN-oriented split federated learning method, named node {\bfseries M}asking and {\bfseries M}ulti-granularity {\bfseries M}essage passing-based Federated Graph Model (M$^3$FGM) for the above issues.
1 code implementation • 11 Oct 2022 • Peitian Zhang, Zheng Liu, Shitao Xiao, Zhicheng Dou, Jing Yao
Based on comprehensive experiments on popular retrieval benchmarks, we verify that clusters and terms indeed complement each other, enabling HI$^2$ to achieve lossless retrieval quality with competitive efficiency across various index settings.
no code implementations • 14 Sep 2022 • Jiawen Wu, Xinyu Zhang, Yutao Zhu, Zheng Liu, Zikai Guo, Zhaoye Fei, Ruofei Lai, Yongkang Wu, Zhao Cao, Zhicheng Dou
Hyperlinks, which are commonly used in Web pages, have been leveraged for designing pre-training objectives.
no code implementations • 2 Sep 2022 • Zheng Liu, Yaowu Zhao, Sijing Zhan, Yuanyuan Liu, Renjie Chen, Ying He
Motivated by the essential interplay between point cloud denoising and normal filtering, we revisit point cloud denoising from a multitask perspective, and propose an end-to-end network, named PCDNF, to denoise point clouds via joint normal filtering.
no code implementations • COLING 2022 • Zhaoye Fei, Yu Tian, Yongkang Wu, Xinyu Zhang, Yutao Zhu, Zheng Liu, Jiawen Wu, Dejiang Kong, Ruofei Lai, Zhao Cao, Zhicheng Dou, Xipeng Qiu
Our experiments on 13 benchmark datasets across five natural language understanding tasks demonstrate the superiority of our method.
no code implementations • 25 Jul 2022 • Zhixiang Chi, Rasoul Mohammadi Nasiri, Zheng Liu, Yuanhao Yu, Juwei Lu, Jin Tang, Konstantinos N Plataniotis
However, none of the published VFI works considers the spatially non-uniform characteristics of the interpolation error (IE).
1 code implementation • 28 Jun 2022 • Xu Huang, Defu Lian, Jin Chen, Zheng Liu, Xing Xie, Enhong Chen
Deep recommender systems (DRS) are intensively applied in modern web services.
1 code implementation • 6 Jun 2022 • Hulin Li, Jun Li, Hanbing Wei, Zheng Liu, Zhenfei Zhan, Qiliang Ren
We introduce a new lightweight convolution technique, GSConv, to lighten the model but maintain the accuracy.
1 code implementation • 6 Jun 2022 • Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Hao Sun, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Allen Sun, Weiwei Deng, Qi Zhang, Mao Yang
To this end, we propose Neural Corpus Indexer (NCI), a sequence-to-sequence network that generates relevant document identifiers directly for a designated query.
1 code implementation • 24 May 2022 • Shitao Xiao, Zheng Liu, Yingxia Shao, Zhao Cao
The sentence embedding is generated from the encoder's masked input; then, the original sentence is recovered based on the sentence embedding and the decoder's masked input via masked language modeling.
Ranked #1 on Information Retrieval on MSMARCO
1 code implementation • 22 May 2022 • Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie
We first extract distribution patterns from the item candidates.
no code implementations • 20 May 2022 • Zheng Liu, Yaoming Zhuang, Pengrun Jia, Chengdong Wu, Hongli Xu ang Zhanlin Liu
For aquaculture resource evaluation and ecological environment monitoring, automatic detection and identification of marine organisms is critical.
no code implementations • 11 Apr 2022 • Zheng Liu, Wei zhang, Yan Chen, Weiyi Sun, Tianchuan Du, Benjamin Schroeder
Recently, semantic search has been successfully applied to e-commerce product search and the learned semantic space(s) for query and product encoding are expected to generalize to unseen queries or products.
1 code implementation • European Conference on Information Retrieval 2022 • Yan Chen, Shujian Liu, Zheng Liu, Weiyi Sun, Linas Baltrunas, Benjamin Schroeder
We also show that the dataset is effective in evaluating and discriminating between different search models.
2 code implementations • 1 Apr 2022 • Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Denvy Deng, Qi Zhang, Xing Xie
We perform comprehensive explorations for the optimal conduct of knowledge distillation, which may provide useful insights for the learning of VQ based ANN index.
no code implementations • 28 Feb 2022 • Junhan Yang, Zheng Liu, Shitao Xiao, Jianxun Lian, Lijun Wu, Defu Lian, Guangzhong Sun, Xing Xie
Instead of relying on annotation heuristics defined by humans, it leverages the sentence representation model itself and realizes the following iterative self-supervision process: on one hand, the improvement of sentence representation may contribute to the quality of data annotation; on the other hand, more effective data annotation helps to generate high-quality positive samples, which will further improve the current sentence representation model.
no code implementations • 13 Feb 2022 • Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Denvy Deng, Qi Zhang, Xing Xie
On the other hand, the capability of making high-CTR retrieval is optimized by learning to discriminate user's clicked ads from the entire corpus.
no code implementations • 23 Jan 2022 • Chao Feng, Defu Lian, Xiting Wang, Zheng Liu, Xing Xie, Enhong Chen
Instead of searching the nearest neighbor for the query, we search the item with maximum inner product with query on the proximity graph.
2 code implementations • 14 Jan 2022 • Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Yingxia Shao, Defu Lian, Chaozhuo Li, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang, Xing Xie
In this work, we tackle this problem with Bi-Granular Document Representation, where the lightweight sparse embeddings are indexed and standby in memory for coarse-grained candidate search, and the heavyweight dense embeddings are hosted in disk for fine-grained post verification.
no code implementations • 12 Jan 2022 • Peitian Zhang, Zheng Liu
News feed recommendation is an important web service.
no code implementations • 14 Dec 2021 • Yiqi Wang, Chaozhuo Li, Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie, Lei Chen, Philip S. Yu
Thus, graph pre-training has the great potential to alleviate data sparsity in GNN-based recommendations.
no code implementations • 28 Nov 2021 • Xiaohan Li, Zhiwei Liu, Stephen Guo, Zheng Liu, Hao Peng, Philip S. Yu, Kannan Achan
In this paper, we propose a novel Reinforced Attentive Multi-relational Graph Neural Network (RAM-GNN) to the pre-train user and item embeddings on the user and item graph prior to the recommendation step.
no code implementations • 3 Nov 2021 • Erik Blasch, Junchi Bin, Zheng Liu
This paper reviews and proposes concerns in adopting, fielding, and maintaining artificial intelligence (AI) systems.
1 code implementation • NeurIPS 2021 • Junhan Yang, Zheng Liu, Shitao Xiao, Chaozhuo Li, Defu Lian, Sanjay Agrawal, Amit Singh, Guangzhong Sun, Xing Xie
The representation learning on textual graph is to generate low-dimensional embeddings for the nodes based on the individual textual features and the neighbourhood information.
no code implementations • 29 Apr 2021 • Kun Jiang, Zhaoli Liu, Zheng Liu, Qindong Sun
With the learned analysis dictionary, test samples can be transformed into a sparse subspace for classification efficiently.
1 code implementation • 25 Apr 2021 • Chaozhuo Li, Bochen Pang, Yuming Liu, Hao Sun, Zheng Liu, Xing Xie, Tianqi Yang, Yanling Cui, Liangjie Zhang, Qi Zhang
Our motivation lies in incorporating the tremendous amount of unsupervised user behavior data from the historical search logs as the complementary graph to facilitate relevance modeling.
no code implementations • 22 Apr 2021 • Junhan Yang, Zheng Liu, Bowen Jin, Jianxun Lian, Defu Lian, Akshay Soni, Eun Yong Kang, Yajun Wang, Guangzhong Sun, Xing Xie
For the sake of efficient recommendation, conventional methods would generate user and advertisement embeddings independently with a siamese transformer encoder, such that approximate nearest neighbour search (ANN) can be leveraged.
2 code implementations • 16 Apr 2021 • Shitao Xiao, Zheng Liu, Yingxia Shao, Defu Lian, Xing Xie
In this work, we propose the Matching-oriented Product Quantization (MoPQ), where a novel objective Multinoulli Contrastive Loss (MCL) is formulated.
1 code implementation • 18 Feb 2021 • Jianxun Lian, Iyad Batal, Zheng Liu, Akshay Soni, Eun Yong Kang, Yajun Wang, Xing Xie
User states in different channels are updated by an \emph{erase-and-add} paradigm with interest- and instance-level attention.
1 code implementation • 18 Feb 2021 • Shitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, Xing Xie
Secondly, it improves the data efficiency of the training workflow, where non-informative data can be eliminated from encoding.
no code implementations • 20 Jan 2021 • Zheng Liu, Po-Ling Loh
Robust estimation is an important problem in statistics which aims at providing a reasonable estimator when the data-generating distribution lies within an appropriately defined ball around an uncontaminated distribution.
no code implementations • 17 Jan 2021 • Zheng Liu, Xiaohan Li, Hao Peng, Lifang He, Philip S. Yu
EHRs contain multiple entities and relations and can be viewed as a heterogeneous graph.
1 code implementation • 8 Jan 2021 • Xiaohan Li, Mengqi Zhang, Shu Wu, Zheng Liu, Liang Wang, Philip S. Yu
Here we propose Dynamic Graph Collaborative Filtering (DGCF), a novel framework leveraging dynamic graphs to capture collaborative and sequential relations of both items and users at the same time.
no code implementations • 24 Dec 2020 • Zheng Liu, Yulei Han, Yafei Ren, Qian Niu, Zhenhua Qiao
We identify a valley-polarized Chern insulator in the van der Waals heterostructure, Pt$_{2}$HgSe$_{3}$/CrI$_3$, for potential applications with interplay between electric, magnetic, optical, and mechanical effects.
Band Gap Materials Science
1 code implementation • 20 Nov 2020 • Fangrui Liu, Zheng Liu
Proof on $\epsilon$-Convergence of joint probability with approximated derivatives is provided to guarantee the preciseness on update applied on the mutual information.
no code implementations • NeurIPS 2020 • Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen
The GAN-style recommenders (i. e., IRGAN) addresses the challenge by learning a generator and a discriminator adversarially, such that the generator produces increasingly difficult samples for the discriminator to accelerate optimizing the discrimination objective.
1 code implementation • 16 Oct 2020 • Zheng Liu, Fu Zhang
We propose a framework for bundle adjustment (BA) on sparse lidar points and incorporate it to a lidar odometry and mapping (LOAM) to lower the drift.
Robotics
no code implementations • ECCV 2020 • Zhixiang Chi, Rasoul Mohammadi Nasiri, Zheng Liu, Juwei Lu, Jin Tang, Konstantinos N. Plataniotis
Recent advances in high refresh rate displays as well as the increased interest in high rate of slow motion and frame up-conversion fuel the demand for efficient and cost-effective multi-frame video interpolation solutions.
no code implementations • ACL 2020 • Heyuan Wang, Fangzhao Wu, Zheng Liu, Xing Xie
Existing studies generally represent each user as a single vector and then match the candidate news vector, which may lose fine-grained information for recommendation.
1 code implementation • International World Wide Web Conference 2020 • Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie
On top of such a structure, LightRec will have an item represented as additive composition of B codewords, which are optimally selected from each of the codebooks.
no code implementations • 10 Oct 2019 • Manzhang Xu, Bijun Tang, Yuhao Lu, Chao Zhu, Lu Zheng, Jingyu Zhang, Nannan Han, Yuxi Guo, Jun Di, Pin Song, Yongmin He, Lixing Kang, Zhiyong Zhang, Wu Zhao, Cuntai Guan, Xuewen Wang, Zheng Liu
Reducing the lateral scale of two-dimensional (2D) materials to one-dimensional (1D) has attracted substantial research interest not only to achieve competitive electronic device applications but also for the exploration of fundamental physical properties.
no code implementations • ICCV 2019 • Ruihang Chu, Yifan Sun, Yadong Li, Zheng Liu, Chi Zhang, Yichen Wei
This paper considers vehicle re-identification (re-ID) problem.
no code implementations • 6 Aug 2019 • Zheng Liu, Zidong Jiang, Wei Feng, Hui Feng
Classical CNN based object detection methods only extract the objects' image features, but do not consider the high-level relationship among objects in context.
no code implementations • 1 Aug 2019 • Zheng Liu, Jinnian Zhang, Varun Jog, Po-Ling Loh, Alan B McMillan
Materials and Methods: In this retrospective study, the accuracy of brain tumor segmentation was studied in subjects with low- and high-grade gliomas.
no code implementations • 15 Jul 2019 • Zheng Liu, Yu Xing, Jianxun Lian, Defu Lian, Ziyao Li, Xing Xie
Our work is undergoing a anonymous review, and it will soon be released after the notification.
1 code implementation • ACL 2019 • Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu, Xing Xie
In this paper, we propose a neural news recommendation approach which can learn both long- and short-term user representations.
Ranked #7 on News Recommendation on MIND
no code implementations • 27 May 2019 • Lihua Jian, Xiaomin Yang, Zheng Liu, Gwanggil Jeon, Mingliang Gao, David Chisholm
For the fusion stage, first, the trained model is utilized to extract the intermediate features and compensation features of two source images.
1 code implementation • 10 May 2019 • Bijun Tang, Yuhao Lu, Jiadong Zhou, Han Wang, Prafful Golani, Manzhang Xu, Quan Xu, Cuntai Guan, Zheng Liu
Synthesis of advanced inorganic materials with minimum number of trials is of paramount importance towards the acceleration of inorganic materials development.
4 code implementations • CVPR 2019 • Zhen Li, Jinglei Yang, Zheng Liu, Xiaomin Yang, Gwanggil Jeon, Wei Wu
In this paper, we propose an image super-resolution feedback network (SRFBN) to refine low-level representations with high-level information.
no code implementations • 22 Feb 2019 • Xin Fu, Chengkai Zhang, Xiang Peng, Lihua Jian, Zheng Liu
Pulsed eddy current (PEC) is an effective electromagnetic non-destructive inspection (NDI) technique for metal materials, which has already been widely adopted in detecting cracking and corrosion in some multi-layer structures.
3 code implementations • 5 Oct 2018 • Zheng Liu, Botao Xiao, Muhammad Alrabeiah, Keyan Wang, Jun Chen
Haze and smog are among the most common environmental factors impacting image quality and, therefore, image analysis.
Ranked #18 on Image Dehazing on SOTS Outdoor
no code implementations • 25 Jun 2018 • Shuo Liu, Vijay John, Erik Blasch, Zheng Liu, Ying Huang
Context enhancement is critical for night vision (NV) applications, especially for the dark night situation without any artificial lights.
no code implementations • 31 May 2018 • Yuchen Yang, Shuo Liu, Wei Ma, Qiuyuan Wang, Zheng Liu
The paper presents a Traffic Sign Recognition (TSR) system, which can fast and accurately recognize traffic signs of different sizes in images.
no code implementations • 29 Mar 2018 • Zheng Liu, Jie Qin, Annan Li, Yunhong Wang, Luc van Gool
Specifically, instead of learning explicit projections or adding fully-connected mapping layers, the proposed Adversarial Binary Coding (ABC) framework guides the extraction of binary codes implicitly and effectively.
no code implementations • 30 Nov 2017 • Shuo Liu, Zheng Liu
In this study, we propose a novel detection algorithm for military objects by fusing multi-channel CNNs.
no code implementations • 26 Nov 2017 • Qiang Chen, Yunhong Wang, Zheng Liu, Qingjie Liu, Di Huang
In this paper, we develop a novel convolutional neural network based approach to extract and aggregate useful information from gait silhouette sequence images instead of simply representing the gait process by averaging silhouette images.