8 code implementations • NeurIPS 2021 • Xiangxiang Chu, Zhi Tian, Yuqing Wang, Bo Zhang, Haibing Ren, Xiaolin Wei, Huaxia Xia, Chunhua Shen
Very recently, a variety of vision transformer architectures for dense prediction tasks have been proposed and they show that the design of spatial attention is critical to their success in these tasks.
Ranked #48 on Semantic Segmentation on ADE20K val
7 code implementations • CVPR 2020 • Zi-Yu Wan, Bo Zhang, Dong-Dong Chen, Pan Zhang, Dong Chen, Jing Liao, Fang Wen
Unlike conventional restoration tasks that can be solved through supervised learning, the degradation in real photos is complex and the domain gap between synthetic images and real old photos makes the network fail to generalize.
8 code implementations • 14 Sep 2020 • Zi-Yu Wan, Bo Zhang, Dong-Dong Chen, Pan Zhang, Dong Chen, Jing Liao, Fang Wen
Unlike conventional restoration tasks that can be solved through supervised learning, the degradation in real photos is complex and the domain gap between synthetic images and real old photos makes the network fail to generalize.
7 code implementations • 7 Sep 2022 • Chuyi Li, Lulu Li, Hongliang Jiang, Kaiheng Weng, Yifei Geng, Liang Li, Zaidan Ke, Qingyuan Li, Meng Cheng, Weiqiang Nie, Yiduo Li, Bo Zhang, Yufei Liang, Linyuan Zhou, Xiaoming Xu, Xiangxiang Chu, Xiaoming Wei, Xiaolin Wei
The YOLO community has prospered overwhelmingly to enrich its use in a multitude of hardware platforms and abundant scenarios.
Ranked #14 on Object Detection on COCO-O
5 code implementations • 13 Jan 2023 • Chuyi Li, Lulu Li, Yifei Geng, Hongliang Jiang, Meng Cheng, Bo Zhang, Zaidan Ke, Xiaoming Xu, Xiangxiang Chu
For a glimpse of performance, our YOLOv6-N hits 37. 5% AP on the COCO dataset at a throughput of 1187 FPS tested with an NVIDIA Tesla T4 GPU.
Ranked #1 on Object Detection on COCO 2017 val
1 code implementation • 25 Oct 2023 • Jingxiang Sun, Bo Zhang, Ruizhi Shao, Lizhen Wang, Wen Liu, Zhenda Xie, Yebin Liu
The score distillation from this 3D-aware diffusion prior provides view-consistent guidance for the scene.
2 code implementations • ICCV 2023 • Junshu Tang, Tengfei Wang, Bo Zhang, Ting Zhang, Ran Yi, Lizhuang Ma, Dong Chen
In this work, we investigate the problem of creating high-fidelity 3D content from only a single image.
2 code implementations • 8 Mar 2024 • Haoyu Lu, Wen Liu, Bo Zhang, Bingxuan Wang, Kai Dong, Bo Liu, Jingxiang Sun, Tongzheng Ren, Zhuoshu Li, Hao Yang, Yaofeng Sun, Chengqi Deng, Hanwei Xu, Zhenda Xie, Chong Ruan
The DeepSeek-VL family (both 1. 3B and 7B models) showcases superior user experiences as a vision-language chatbot in real-world applications, achieving state-of-the-art or competitive performance across a wide range of visual-language benchmarks at the same model size while maintaining robust performance on language-centric benchmarks.
Ranked #28 on Visual Question Answering on MM-Vet
2 code implementations • CVPR 2023 • Binxin Yang, Shuyang Gu, Bo Zhang, Ting Zhang, Xuejin Chen, Xiaoyan Sun, Dong Chen, Fang Wen
Language-guided image editing has achieved great success recently.
2 code implementations • CVPR 2022 • Shuyang Gu, Dong Chen, Jianmin Bao, Fang Wen, Bo Zhang, Dongdong Chen, Lu Yuan, Baining Guo
Our experiments indicate that the VQ-Diffusion model with the reparameterization is fifteen times faster than traditional AR methods while achieving a better image quality.
Ranked #1 on Text-to-Image Generation on Oxford 102 Flowers (using extra training data)
1 code implementation • 19 Mar 2024 • Anwen Hu, Haiyang Xu, Jiabo Ye, Ming Yan, Liang Zhang, Bo Zhang, Chen Li, Ji Zhang, Qin Jin, Fei Huang, Jingren Zhou
In this work, we emphasize the importance of structure information in Visual Document Understanding and propose the Unified Structure Learning to boost the performance of MLLMs.
1 code implementation • 28 Dec 2023 • Xiangxiang Chu, Limeng Qiao, Xinyang Lin, Shuang Xu, Yang Yang, Yiming Hu, Fei Wei, Xinyu Zhang, Bo Zhang, Xiaolin Wei, Chunhua Shen
We present MobileVLM, a competent multimodal vision language model (MMVLM) targeted to run on mobile devices.
1 code implementation • 6 Feb 2024 • Xiangxiang Chu, Limeng Qiao, Xinyu Zhang, Shuang Xu, Fei Wei, Yang Yang, Xiaofei Sun, Yiming Hu, Xinyang Lin, Bo Zhang, Chunhua Shen
We introduce MobileVLM V2, a family of significantly improved vision language models upon MobileVLM, which proves that a delicate orchestration of novel architectural design, an improved training scheme tailored for mobile VLMs, and rich high-quality dataset curation can substantially benefit VLMs' performance.
2 code implementations • arXiv 2019 • Xiangxiang Chu, Bo Zhang, Hailong Ma, Ruijun Xu, Qingyuan Li
Deep convolutional neural networks demonstrate impressive results in the super-resolution domain.
Ranked #16 on Image Super-Resolution on BSD100 - 2x upscaling
4 code implementations • 28 Jun 2021 • Li Niu, Wenyan Cong, Liu Liu, Yan Hong, Bo Zhang, Jing Liang, Liqing Zhang
We have also contributed the first image composition toolbox: libcom https://github. com/bcmi/libcom, which assembles 10+ image composition related functions (e. g., image blending, image harmonization, object placement, shadow generation, generative composition).
1 code implementation • CVPR 2023 • Jiakang Yuan, Bo Zhang, Xiangchao Yan, Tao Chen, Botian Shi, Yikang Li, Yu Qiao
Unsupervised Domain Adaptation (UDA) technique has been explored in 3D cross-domain tasks recently.
1 code implementation • CVPR 2023 • Bo Zhang, Jiakang Yuan, Botian Shi, Tao Chen, Yikang Li, Yu Qiao
In this paper, we study the task of training a unified 3D detector from multiple datasets.
2 code implementations • 16 May 2023 • Siyuan Huang, Bo Zhang, Botian Shi, Peng Gao, Yikang Li, Hongsheng Li
In this paper, different from previous 2D DG works, we focus on the 3D DG problem and propose a Single-dataset Unified Generalization (SUG) framework that only leverages a single source dataset to alleviate the unforeseen domain differences faced by a well-trained source model.
2 code implementations • 11 Sep 2023 • Bo Zhang, Xinyu Cai, Jiakang Yuan, Donglin Yang, Jianfei Guo, Xiangchao Yan, Renqiu Xia, Botian Shi, Min Dou, Tao Chen, Si Liu, Junchi Yan, Yu Qiao
Domain shifts such as sensor type changes and geographical situation variations are prevalent in Autonomous Driving (AD), which poses a challenge since AD model relying on the previous domain knowledge can be hardly directly deployed to a new domain without additional costs.
1 code implementation • 19 Sep 2023 • Xiangchao Yan, Runjian Chen, Bo Zhang, Jiakang Yuan, Xinyu Cai, Botian Shi, Wenqi Shao, Junchi Yan, Ping Luo, Yu Qiao
Our contributions are threefold: (1) Occupancy prediction is shown to be promising for learning general representations, which is demonstrated by extensive experiments on plenty of datasets and tasks.
1 code implementation • NeurIPS 2023 • Jiakang Yuan, Bo Zhang, Xiangchao Yan, Tao Chen, Botian Shi, Yikang Li, Yu Qiao
It is a long-term vision for Autonomous Driving (AD) community that the perception models can learn from a large-scale point cloud dataset, to obtain unified representations that can achieve promising results on different tasks or benchmarks.
1 code implementation • CVPR 2023 • BoWen Zhang, Chenyang Qi, Pan Zhang, Bo Zhang, HsiangTao Wu, Dong Chen, Qifeng Chen, Yong Wang, Fang Wen
In this work, we propose an ID-preserving talking head generation framework, which advances previous methods in two aspects.
1 code implementation • CVPR 2022 • Ziyu Wan, Bo Zhang, Dongdong Chen, Jing Liao
We present a learning-based framework, recurrent transformer network (RTN), to restore heavily degraded old films.
Ranked #6 on Analog Video Restoration on TAPE
1 code implementation • CVPR 2022 • BoWen Zhang, Shuyang Gu, Bo Zhang, Jianmin Bao, Dong Chen, Fang Wen, Yong Wang, Baining Guo
To this end, we believe that local attention is crucial to strike the balance between computational efficiency and modeling capacity.
Ranked #1 on Image Generation on CelebA 256x256 (FID metric)
2 code implementations • 25 May 2022 • Tengfei Wang, Ting Zhang, Bo Zhang, Hao Ouyang, Dong Chen, Qifeng Chen, Fang Wen
We propose to use pretraining to boost general image-to-image translation.
Ranked #1 on Sketch-to-Image Translation on COCO-Stuff
2 code implementations • NAACL 2022 • Yue Zhang, Zhenghua Li, Zuyi Bao, Jiacheng Li, Bo Zhang, Chen Li, Fei Huang, Min Zhang
This paper presents MuCGEC, a multi-reference multi-source evaluation dataset for Chinese Grammatical Error Correction (CGEC), consisting of 7, 063 sentences collected from three Chinese-as-a-Second-Language (CSL) learner sources.
2 code implementations • 23 Jun 2022 • Yue Zhang, Haochen Jiang, Zuyi Bao, Bo Zhang, Chen Li, Zhenghua Li
We have accumulated 1, 119 error templates for Chinese GEC based on this method.
3 code implementations • CVPR 2020 • Pan Zhang, Bo Zhang, Dong Chen, Lu Yuan, Fang Wen
The output has the style (e. g., color, texture) in consistency with the semantically corresponding objects in the exemplar.
Ranked #1 on Image-to-Image Translation on ADE20K-Outdoor Labels-to-Photos (FID metric)
1 code implementation • CVPR 2021 • Xingran Zhou, Bo Zhang, Ting Zhang, Pan Zhang, Jianmin Bao, Dong Chen, Zhongfei Zhang, Fang Wen
We present the full-resolution correspondence learning for cross-domain images, which aids image translation.
1 code implementation • CVPR 2019 • Bo Zhang, Mingming He, Jing Liao, Pedro V. Sander, Lu Yuan, Amine Bermak, Dong Chen
This paper presents the first end-to-end network for exemplar-based video colorization.
1 code implementation • 20 Sep 2019 • Xiaoyu Li, Bo Zhang, Jing Liao, Pedro V. Sander
We propose a novel learning method to rectify document images with various distortion types from a single input image.
2 code implementations • ICCV 2021 • Xiangxiang Chu, Bo Zhang, Ruijun Xu
We demonstrate that this is crucial for improving the confidence of models' ranking.
Ranked #3 on Neural Architecture Search on CIFAR-10 (using extra training data)
1 code implementation • 7 Dec 2023 • Xin Li, Yeqi Bai, Pinlong Cai, Licheng Wen, Daocheng Fu, Bo Zhang, Xuemeng Yang, Xinyu Cai, Tao Ma, Jianfei Guo, Xing Gao, Min Dou, Yikang Li, Botian Shi, Yong liu, Liang He, Yu Qiao
This paper explores the emerging knowledge-driven autonomous driving technologies.
1 code implementation • 1 Mar 2024 • Xiangxiang Chu, Jianlin Su, Bo Zhang, Chunhua Shen
Large language models are built on top of a transformer-based architecture to process textual inputs.
2 code implementations • CVPR 2021 • Pan Zhang, Bo Zhang, Ting Zhang, Dong Chen, Yong Wang, Fang Wen
In this paper, we rely on representative prototypes, the feature centroids of classes, to address the two issues for unsupervised domain adaptation.
Ranked #10 on Semantic Segmentation on GTAV-to-Cityscapes Labels
2 code implementations • 4 Aug 2019 • Xiangxiang Chu, Bo Zhang, Ruijun Xu
Bearing the target hardware in mind, we propose the first Mobile GPU-Aware (MoGA) neural architecture search in order to be precisely tailored for real-world applications.
Ranked #854 on Image Classification on ImageNet
1 code implementation • NeurIPS 2017 • Chongxuan Li, Kun Xu, Jun Zhu, Bo Zhang
Generative Adversarial Nets (GANs) have shown promise in image generation and semi-supervised learning (SSL).
1 code implementation • 12 Sep 2022 • Junshu Tang, Bo Zhang, Binxin Yang, Ting Zhang, Dong Chen, Lizhuang Ma, Fang Wen
In contrast to the traditional avatar creation pipeline which is a costly process, contemporary generative approaches directly learn the data distribution from photographs.
2 code implementations • 22 Feb 2021 • Xiangxiang Chu, Zhi Tian, Bo Zhang, Xinlong Wang, Chunhua Shen
Built on PEG, we present Conditional Position encoding Vision Transformer (CPVT).
1 code implementation • ECCV 2020 • Xiangxiang Chu, Tianbao Zhou, Bo Zhang, Jixiang Li
Differentiable Architecture Search (DARTS) is now a widely disseminated weight-sharing neural architecture search method.
Ranked #24 on Neural Architecture Search on CIFAR-10
2 code implementations • ICLR 2022 • Fan Bao, Chongxuan Li, Jun Zhu, Bo Zhang
In this work, we present a surprising result that both the optimal reverse variance and the corresponding optimal KL divergence of a DPM have analytic forms w. r. t.
1 code implementation • 6 Feb 2024 • Guohang Yan, Jiahao Pi, Jianfei Guo, Zhaotong Luo, Min Dou, Nianchen Deng, Qiusheng Huang, Daocheng Fu, Licheng Wen, Pinlong Cai, Xing Gao, Xinyu Cai, Bo Zhang, Xuemeng Yang, Yeqi Bai, Hongbin Zhou, Botian Shi
With the development of implicit rendering technology and in-depth research on using generative models to produce data at scale, we propose OASim, an open and adaptive simulator and autonomous driving data generator based on implicit neural rendering.
1 code implementation • CVPR 2019 • Xiaoyu Li, Bo Zhang, Pedro V. Sander, Jing Liao
We propose the first general framework to automatically correct different types of geometric distortion in a single input image.
1 code implementation • 16 Aug 2019 • Xiangxiang Chu, Bo Zhang, Qingyuan Li, Ruijun Xu, Xudong Li
To discover powerful yet compact models is an important goal of neural architecture search.
Ranked #76 on Neural Architecture Search on ImageNet
1 code implementation • CVPR 2021 • Chulin Xie, Chuxin Wang, Bo Zhang, Hao Yang, Dong Chen, Fang Wen
In this paper, we proposed a novel Style-based Point Generator with Adversarial Rendering (SpareNet) for point cloud completion.
Ranked #1 on Point Cloud Completion on ShapeNet (Earth Mover's Distance metric)
1 code implementation • 19 Feb 2024 • Renqiu Xia, Bo Zhang, Hancheng Ye, Xiangchao Yan, Qi Liu, Hongbin Zhou, Zijun Chen, Min Dou, Botian Shi, Junchi Yan, Yu Qiao
Recently, many versatile Multi-modal Large Language Models (MLLMs) have emerged continuously.
1 code implementation • 5 Feb 2023 • Sifan Zhou, Zhi Tian, Xiangxiang Chu, Xinyu Zhang, Bo Zhang, Xiaobo Lu, Chengjian Feng, Zequn Jie, Patrick Yin Chiang, Lin Ma
The deployment of 3D detectors strikes one of the major challenges in real-world self-driving scenarios.
1 code implementation • CVPR 2023 • Xinyu Liu, Beiwen Tian, Zhen Wang, Rui Wang, Kehua Sheng, Bo Zhang, Hao Zhao, Guyue Zhou
Thanks to the impressive progress of large-scale vision-language pretraining, recent recognition models can classify arbitrary objects in a zero-shot and open-set manner, with a surprisingly high accuracy.
1 code implementation • 7 Apr 2021 • Bo Zhang, Li Niu, Liqing Zhang
Image composition assessment is crucial in aesthetic assessment, which aims to assess the overall composition quality of a given image.
Ranked #1 on Aesthetics Quality Assessment on CADB
1 code implementation • 19 Aug 2023 • Bo Zhang, Yuxuan Duan, Jun Lan, Yan Hong, Huijia Zhu, Weiqiang Wang, Li Niu
To address these challenges, we propose a controllable image composition method that unifies four tasks in one diffusion model: image blending, image harmonization, view synthesis, and generative composition.
1 code implementation • 21 Mar 2023 • Hancheng Ye, Bo Zhang, Tao Chen, Jiayuan Fan, Bin Wang
Global channel pruning (GCP) aims to remove a subset of channels (filters) across different layers from a deep model without hurting the performance.
1 code implementation • 15 Jun 2022 • Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu, Bo Zhang
Thus, the generation performance on a subset of timesteps is crucial, which is greatly influenced by the covariance design in DPMs.
3 code implementations • 19 Jun 2019 • Jiapeng Zhu, Deli Zhao, Bo Zhang, Bolei Zhou
In this paper, we show that the entanglement of the latent space for the VAE/GAN framework poses the main challenge for encoder learning.
1 code implementation • 22 Oct 2022 • Yue Zhang, Bo Zhang, Zhenghua Li, Zuyi Bao, Chen Li, Min Zhang
Then, we obtain parse trees of the source incorrect sentences by projecting trees of the target correct sentences.
3 code implementations • 5 Jul 2021 • Liu Liu, Zhenchen Liu, Bo Zhang, Jiangtong Li, Li Niu, Qingyang Liu, Liqing Zhang
Image composition aims to generate realistic composite image by inserting an object from one image into another background image, where the placement (e. g., location, size, occlusion) of inserted object may be unreasonable, which would significantly degrade the quality of the composite image.
1 code implementation • NeurIPS 2018 • Chongxuan Li, Max Welling, Jun Zhu, Bo Zhang
We propose Graphical Generative Adversarial Networks (Graphical-GAN) to model structured data.
1 code implementation • 5 Dec 2023 • Fei Wei, Xinyu Zhang, Ailing Zhang, Bo Zhang, Xiangxiang Chu
To evaluate the reasoning capability of Lenna, we construct a ReasonDet dataset to measure its performance on reasoning-based detection.
1 code implementation • 25 May 2023 • Yue Zhang, Bo Zhang, Haochen Jiang, Zhenghua Li, Chen Li, Fei Huang, Min Zhang
We introduce NaSGEC, a new dataset to facilitate research on Chinese grammatical error correction (CGEC) for native speaker texts from multiple domains.
5 code implementations • 16 May 2016 • Fengfu Li, Bin Liu, Xiaoxing Wang, Bo Zhang, Junchi Yan
We present a memory and computation efficient ternary weight networks (TWNs) - with weights constrained to +1, 0 and -1.
1 code implementation • ICLR 2021 • Xiangxiang Chu, Xiaoxing Wang, Bo Zhang, Shun Lu, Xiaolin Wei, Junchi Yan
We call this approach DARTS-.
Ranked #20 on Neural Architecture Search on NAS-Bench-201, CIFAR-10
1 code implementation • 22 Mar 2024 • Qingyang Liu, Junqi You, Jianting Wang, Xinhao Tao, Bo Zhang, Li Niu
In the realm of image composition, generating realistic shadow for the inserted foreground remains a formidable challenge.
1 code implementation • CVPR 2022 • Zhanhao Hu, Siyuan Huang, Xiaopei Zhu, Fuchun Sun, Bo Zhang, Xiaolin Hu
Experiments showed that these clothes could fool person detectors in the physical world.
1 code implementation • 25 Apr 2022 • Hao Ouyang, Bo Zhang, Pan Zhang, Hao Yang, Jiaolong Yang, Dong Chen, Qifeng Chen, Fang Wen
We propose pose-guided multiplane image (MPI) synthesis which can render an animatable character in real scenes with photorealistic quality.
1 code implementation • 29 Jan 2024 • Sifan Zhou, Liang Li, Xinyu Zhang, Bo Zhang, Shipeng Bai, Miao Sun, Ziyu Zhao, Xiaobo Lu, Xiangxiang Chu
To our knowledge, for the very first time in lidar-based 3D detection tasks, the PTQ INT8 model's accuracy is almost the same as the FP32 model while enjoying $3\times$ inference speedup.
1 code implementation • 10 Aug 2020 • Xiaoyu Li, Bo Zhang, Jing Liao, Pedro V. Sander
The key idea of the proposed approach is to estimate the dense cross-domain correspondence between the sketch and cartoon video frames, and employ a blending module with occlusion estimation to synthesize the middle frame guided by the sketch.
1 code implementation • 3 Mar 2022 • Bo Zhang, Tao Chen, Bin Wang
Although domain adaptation has been extensively studied in natural image-based segmentation task, the research on cross-domain segmentation for very high resolution (VHR) remote sensing images (RSIs) still remains underexplored.
1 code implementation • 22 Feb 2024 • Xudong Lu, Qi Liu, Yuhui Xu, Aojun Zhou, Siyuan Huang, Bo Zhang, Junchi Yan, Hongsheng Li
Specifically, we propose, for the first time to our best knowledge, post-training approaches for task-agnostic and task-specific expert pruning and skipping of MoE LLMs, tailored to improve deployment efficiency while maintaining model performance across a wide range of tasks.
1 code implementation • CVPR 2018 • Yucen Luo, Jun Zhu, Mengxi Li, Yong Ren, Bo Zhang
In SNTG, a graph is constructed based on the predictions of the teacher model, i. e., the implicit self-ensemble of models.
1 code implementation • 20 Dec 2019 • Chongxuan Li, Kun Xu, Jiashuo Liu, Jun Zhu, Bo Zhang
It is formulated as a three-player minimax game consisting of a generator, a classifier and a discriminator, and therefore is referred to as Triple Generative Adversarial Network (Triple-GAN).
1 code implementation • 20 Apr 2021 • Bo Zhang, Pedro V. Sander, Chi-Ying Tsui, Amine Bermak
In our method, the image is first micro-shifted, then the sub-quantized values are further compressed.
1 code implementation • 26 Jul 2017 • Bingke Zhu, Yingying Chen, Jinqiao Wang, Si Liu, Bo Zhang, Ming Tang
Finally, an automatic portrait animation system based on fast deep matting is built on mobile devices, which does not need any interaction and can realize real-time matting with 15 fps.
4 code implementations • 4 Jan 2019 • Xiangxiang Chu, Bo Zhang, Ruijun Xu, Hailong Ma
In this paper, we present a new multi-objective oriented algorithm called MoreMNAS (Multi-Objective Reinforced Evolution in Mobile Neural Architecture Search) by leveraging good virtues from both EA and RL.
1 code implementation • ICCV 2023 • Xiangxiang Chu, Shun Lu, Xudong Li, Bo Zhang
However, current two-stage neural architecture search methods are mainly limited to single-path search spaces.
1 code implementation • 23 Oct 2023 • Houquan Zhou, Yumeng Liu, Zhenghua Li, Min Zhang, Bo Zhang, Chen Li, Ji Zhang, Fei Huang
In this paper, we propose a unified decoding intervention framework that employs an external critic to assess the appropriateness of the token to be generated incrementally, and then dynamically influence the choice of the next token.
Ranked #1 on Grammatical Error Correction on MuCGEC
1 code implementation • ECCV 2020 • Haoyu Liang, Zhihao Ouyang, Yuyuan Zeng, Hang Su, Zihao He, Shu-Tao Xia, Jun Zhu, Bo Zhang
Most existing works attempt post-hoc interpretation on a pre-trained model, while neglecting to reduce the entanglement underlying the model.
1 code implementation • 19 Mar 2019 • Hailong Ma, Xiangxiang Chu, Shaohua Wan, Bo Zhang
In recent years, deep learning methods have achieved impressive results with higher peak signal-to-noise ratio in single image super-resolution (SISR) tasks by utilizing deeper layers.
1 code implementation • 7 May 2020 • Xiangxiang Chu, Bo Zhang
However, it largely suffers from the well-known performance collapse issue due to the aggregation of skip connections.
Ranked #12 on Neural Architecture Search on CIFAR-10
1 code implementation • 2 Dec 2021 • Ruobing Xie, Qi Liu, Liangdong Wang, Shukai Liu, Bo Zhang, Leyu Lin
Cross-domain recommendation (CDR) aims to provide better recommendation results in the target domain with the help of the source domain, which is widely used and explored in real-world systems.
1 code implementation • 26 Dec 2022 • Xingxing Wei, Ying Guo, Jie Yu, Bo Zhang
Extensive experiments are conducted on the Face Recognition (FR) task, and results on four representative FR models show that our method can significantly improve the attack success rate and query efficiency.
1 code implementation • 19 Feb 2020 • Wen Wang, Wei zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha
Specifically, we build a Multi-Relational Item Graph (MRIG) based on all behavior sequences from all sessions, involving target and auxiliary behavior types.
1 code implementation • 31 Oct 2023 • Hui Ma, Jian Wang, Hongfei Lin, Bo Zhang, Yijia Zhang, Bo Xu
Emotion recognition in conversations (ERC), the task of recognizing the emotion of each utterance in a conversation, is crucial for building empathetic machines.
Ranked #1 on Emotion Recognition in Conversation on IEMOCAP
Emotion Recognition in Conversation Multimodal Emotion Recognition
2 code implementations • 23 Mar 2017 • Fengfu Li, Hong Qiao, Bo Zhang, Xuanyang Xi
Traditional image clustering methods take a two-step approach, feature learning and clustering, sequentially.
Ranked #4 on Image Clustering on Coil-20
1 code implementation • 8 Oct 2021 • Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang, Liefeng Bo
The overlook of multiplex behavior relations can hardly recognize the multi-modal contextual signals across different types of interactions, which limit the feasibility of current recommendation methods.
1 code implementation • 21 Jul 2022 • Bo Zhang, Li Niu, Xing Zhao, Liqing Zhang
Image cropping aims to find visually appealing crops in an image, which is an important yet challenging task.
1 code implementation • CVPR 2023 • Zhanhao Hu, Wenda Chu, Xiaopei Zhu, HUI ZHANG, Bo Zhang, Xiaolin Hu
In order to craft natural-looking adversarial clothes that can evade person detectors at multiple viewing angles, we propose adversarial camouflage textures (AdvCaT) that resemble one kind of the typical textures of daily clothes, camouflage textures.
2 code implementations • NeurIPS 2015 • Chongxuan Li, Jun Zhu, Tianlin Shi, Bo Zhang
Deep generative models (DGMs) are effective on learning multilayered representations of complex data and performing inference of input data by exploring the generative ability.
1 code implementation • ICCV 2023 • Bo Zhang, Jiacheng Sui, Li Niu
Additionally, previous works did not release their datasets, so we contribute two datasets for FOS task: S-FOSD dataset with synthetic composite images and R-FOSD dataset with real composite images.
1 code implementation • 20 Sep 2023 • Renqiu Xia, Bo Zhang, Haoyang Peng, Hancheng Ye, Xiangchao Yan, Peng Ye, Botian Shi, Yu Qiao, Junchi Yan
Charts are common in literature across different scientific fields, conveying rich information easily accessible to readers.
Ranked #17 on Chart Question Answering on ChartQA (using extra training data)
1 code implementation • 27 Sep 2019 • Yulong Wang, Xiaolu Zhang, Lingxi Xie, Jun Zhou, Hang Su, Bo Zhang, Xiaolin Hu
Network pruning is an important research field aiming at reducing computational costs of neural networks.
1 code implementation • NAACL 2021 • Qingrong Xia, Bo Zhang, Rui Wang, Zhenghua Li, Yue Zhang, Fei Huang, Luo Si, Min Zhang
Fine-grained opinion mining (OM) has achieved increasing attraction in the natural language processing (NLP) community, which aims to find the opinion structures of {``}Who expressed what opinions towards what{''} in one sentence.
1 code implementation • 17 Jun 2022 • Siyu Wang, Jianfei Chen, Chongxuan Li, Jun Zhu, Bo Zhang
In this work, we propose Integer-only Discrete Flows (IODF), an efficient neural compressor with integer-only arithmetic.
1 code implementation • 21 Dec 2016 • Chao Du, Chongxuan Li, Yin Zheng, Jun Zhu, Bo Zhang
Deep neural networks have shown promise in collaborative filtering (CF).
1 code implementation • ICLR 2019 • Ziyu Wang, Tongzheng Ren, Jun Zhu, Bo Zhang
While Bayesian neural networks (BNNs) have drawn increasing attention, their posterior inference remains challenging, due to the high-dimensional and over-parameterized nature.
1 code implementation • 2 Jul 2022 • Bo Zhang, Jiakang Yuan, Baopu Li, Tao Chen, Jiayuan Fan, Botian Shi
Few-shot fine-grained learning aims to classify a query image into one of a set of support categories with fine-grained differences.
1 code implementation • 20 Dec 2022 • Ben Fei, Siyuan Huang, Jiakang Yuan, Botian Shi, Bo Zhang, Weidong Yang, Min Dou, Yikang Li
Different from previous studies that only focus on a single adaptation task, UniDA3D can tackle several adaptation tasks in 3D segmentation field, by designing a unified source-and-target active sampling strategy, which selects a maximally-informative subset from both source and target domains for effective model adaptation.
1 code implementation • NeurIPS 2018 • Yucen Luo, Tian Tian, Jiaxin Shi, Jun Zhu, Bo Zhang
We propose a new approach that includes a deep generative model (DGM) to characterize low-level features of the data, and a statistical relational model for noisy pairwise annotations on its subset.
1 code implementation • 17 Jul 2022 • Fang Ma, Chen Zhang, Bo Zhang, Dawei Song
Extensive experimental results on standard and adversarial benchmarks for SC and OE demonstrate the effectiveness and robustness of the proposed method, yielding new state-of-the-art performance on OE and competitive performance on SC.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +1
1 code implementation • 22 Nov 2016 • Chongxuan Li, Jun Zhu, Bo Zhang
Deep generative models (DGMs) are effective on learning multilayered representations of complex data and performing inference of input data by exploring the generative ability.
1 code implementation • NeurIPS 2020 • Fan Bao, Chongxuan Li, Kun Xu, Hang Su, Jun Zhu, Bo Zhang
This paper presents a bi-level score matching (BiSM) method to learn EBLVMs with general structures by reformulating SM as a bi-level optimization problem.
1 code implementation • 23 Aug 2019 • Bo Zhang, Chao Liu, Li-Cai Deng
To illustrate this capability, we test the performance of SLAM on stars ranging from Teff$\sim$4000 to $\sim$8000 K trained on LAMOST spectra and stellar labels.
Solar and Stellar Astrophysics Astrophysics of Galaxies Instrumentation and Methods for Astrophysics
1 code implementation • 19 Sep 2021 • Bo Zhang, Tao Chen, Bin Wang, Ruoyao Li
Unsupervised domain adaptive object detection aims to adapt a well-trained detector from its original source domain with rich labeled data to a new target domain with unlabeled data.
1 code implementation • 19 Sep 2023 • Shaocong Xu, Pengfei Li, Xinyu Liu, Qianpu Sun, Yang Li, Shihui Guo, Zhen Wang, Bo Jiang, Rui Wang, Kehua Sheng, Bo Zhang, Hao Zhao
We demonstrate that learning different abstaining penalties, apart from point-wise penalty, for different types of (synthesized) outliers can further improve the performance.
1 code implementation • 29 Sep 2019 • Kun Xu, Chongxuan Li, Jun Zhu, Bo Zhang
There are existing efforts that model the training dynamics of GANs in the parameter space but the analysis cannot directly motivate practically effective stabilizing methods.
Ranked #37 on Image Generation on CIFAR-10 (Inception score metric)
1 code implementation • CVPR 2018 • Juzheng Li, Hang Su, Jun Zhu, Siyu Wang, Bo Zhang
The machine thus performs as an instructor to extract the essay-level contradictions as the Guidance.
1 code implementation • 9 Jan 2024 • Hongcheng Guo, Jian Yang, Jiaheng Liu, Jiaqi Bai, Boyang Wang, Zhoujun Li, Tieqiao Zheng, Bo Zhang, Junran Peng, Qi Tian
Log anomaly detection is a key component in the field of artificial intelligence for IT operations (AIOps).
1 code implementation • 31 Mar 2023 • Chuangguan Ye, Hongyuan Zhu, Bo Zhang, Tao Chen
In recent years, research on few-shot learning (FSL) has been fast-growing in the 2D image domain due to the less requirement for labeled training data and greater generalization for novel classes.
1 code implementation • NeurIPS Workshop ICBINB 2020 • Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang
The learning and evaluation of energy-based latent variable models (EBLVMs) without any structural assumptions are highly challenging, because the true posteriors and the partition functions in such models are generally intractable.
1 code implementation • 24 Dec 2020 • Hao Wang, Ce Yu, Bo Zhang, Jian Xiao, Qi Luo
Gridding operation, which is to map non-uniform data samples onto a uniformly distributedgrid, is one of the key steps in radio astronomical data reduction process.
Instrumentation and Methods for Astrophysics
2 code implementations • 24 Jun 2023 • Yanai Elazar, Jiayao Zhang, David Wadden, Bo Zhang, Noah A. Smith
However, since quality is a challenging construct to estimate, we use the negative outcome control method, using paper citation count as a control variable to debias the quality confounding effect.
1 code implementation • 24 Feb 2016 • Chongxuan Li, Jun Zhu, Bo Zhang
Memory units have been widely used to enrich the capabilities of deep networks on capturing long-term dependencies in reasoning and prediction tasks, but little investigation exists on deep generative models (DGMs) which are good at inferring high-level invariant representations from unlabeled data.
1 code implementation • NeurIPS 2019 • Kun Xu, Chongxuan Li, Jun Zhu, Bo Zhang
Deep generative models (DGMs) have shown promise in image generation.
1 code implementation • 22 Nov 2019 • Zhijie Deng, Yucen Luo, Jun Zhu, Bo Zhang
Bayesian neural networks (BNNs) augment deep networks with uncertainty quantification by Bayesian treatment of the network weights.
1 code implementation • 7 Apr 2020 • Yingqiu Zhu, Yu Chen, Danyang Huang, Bo Zhang, Hansheng Wang
In each update step, given the gradient direction, we locally approximate the loss function by a standard quadratic function of the learning rate.
1 code implementation • 7 Feb 2021 • Minfang Lu, Shuai Ning, Shuangrong Liu, Fengyang Sun, Bo Zhang, Bo Yang, Lin Wang
Black-box optimization (BBO) algorithms are concerned with finding the best solutions for problems with missing analytical details.
1 code implementation • 25 Sep 2019 • Zhijie Deng, Yucen Luo, Jun Zhu, Bo Zhang
Bayesian neural networks (BNNs) introduce uncertainty estimation to deep networks by performing Bayesian inference on network weights.
1 code implementation • 4 Dec 2022 • Xiao Li, Ziqi Wang, Bo Zhang, Fuchun Sun, Xiaolin Hu
The first stage of ROCK corresponds to the process of decomposing objects into parts in human vision.
1 code implementation • 23 Mar 2024 • Hancheng Ye, Chong Yu, Peng Ye, Renqiu Xia, Yansong Tang, Jiwen Lu, Tao Chen, Bo Zhang
Recent Vision Transformer Compression (VTC) works mainly follow a two-stage scheme, where the importance score of each model unit is first evaluated or preset in each submodule, followed by the sparsity score evaluation according to the target sparsity constraint.
1 code implementation • pproximateinference AABI Symposium 2019 • Ziyu Wang, Shuyu Cheng, Yueru Li, Jun Zhu, Bo Zhang
Score matching provides an effective approach to learning flexible unnormalized models, but its scalability is limited by the need to evaluate a second-order derivative.
1 code implementation • 15 Sep 2023 • Yancheng Cai, Bo Zhang, Baopu Li, Tao Chen, Hongliang Yan, Jingdong Zhang, Jiahao Xu
Therefore, we focus on cross-domain background feature alignment while minimizing the influence of foreground features on the cross-domain alignment stage.
1 code implementation • 6 Nov 2023 • Dongcheng Zou, Senzhang Wang, Xuefeng Li, Hao Peng, Yuandong Wang, Chunyang Liu, Kehua Sheng, Bo Zhang
Based on this, we propose a relative structural entropy-based position encoding and a multi-head attention masking scheme based on multi-layer encoding trees.
1 code implementation • 28 Feb 2024 • Wei zhang, Hongcheng Guo, Anjie Le, Jian Yang, Jiaheng Liu, Zhoujun Li, Tieqiao Zheng, Shi Xu, Runqiang Zang, Liangfan Zheng, Bo Zhang
Log parsing, which entails transforming raw log messages into structured templates, constitutes a critical phase in the automation of log analytics.
1 code implementation • 5 Sep 2020 • Ziwei Zhang, Chenhao Niu, Peng Cui, Jian Pei, Bo Zhang, Wenwu Zhu
Graph neural networks (GNNs) are emerging machine learning models on graphs.
1 code implementation • NeurIPS 2021 • Fan Bao, Guoqiang Wu, Chongxuan Li, Jun Zhu, Bo Zhang
Our results can explain some mysterious behaviours of the bilevel programming in practice, for instance, overfitting to the validation set.
1 code implementation • 30 Jan 2023 • Xiao Li, Wei zhang, Yining Liu, Zhanhao Hu, Bo Zhang, Xiaolin Hu
Previous researches mainly focus on improving adversarial robustness in the fully supervised setting, leaving the challenging domain of zero-shot adversarial robustness an open question.
1 code implementation • 1 Aug 2023 • Bo Zhang, Jian Wang, Hui Ma, Bo Xu, Hongfei Lin
To overcome this challenge, we propose an innovative multimodal framework, called ZRIGF, which assimilates image-grounded information for dialogue generation in zero-resource situations.
1 code implementation • 15 May 2018 • Shifeng Zhang, Jianmin Li, Bo Zhang
The resultant hashcodes form several compact clusters, which means hashcodes in the same cluster have similar semantic information.
no code implementations • ICML 2018 • Jingwei Zhuo, Chang Liu, Jiaxin Shi, Jun Zhu, Ning Chen, Bo Zhang
Stein variational gradient descent (SVGD) is a recently proposed particle-based Bayesian inference method, which has attracted a lot of interest due to its remarkable approximation ability and particle efficiency compared to traditional variational inference and Markov Chain Monte Carlo methods.
no code implementations • 7 Jun 2018 • Yisu Zhou, Xiaolin Hu, Bo Zhang
It amounts to labeling each pixel with appropriate facial parts such as eyes and nose.
no code implementations • 1 May 2018 • Bo Zhang, Wei Li, Jie Hao, Xiao-Li Li, Meng Zhang
The layers between the source and target feature extractor are partially untied during the training stage to take both training efficiency and domain adaptation into consideration.
no code implementations • 1 Jul 2017 • Wenbo Hu, Lifeng Hua, Lei LI, Hang Su, Tian Wang, Ning Chen, Bo Zhang
This paper presents a Semantic Attribute Modulation (SAM) for language modeling and style variation.
no code implementations • 4 Jul 2017 • Xun Liu, Wei Xue, Lei Xiao, Bo Zhang
Then we extend the model family to a variety of bayesian online models with increasing feature embedding capabilities, such as Sparse-MLP, FM-MLP and FFM-MLP.
no code implementations • CVPR 2017 • Yinpeng Dong, Hang Su, Jun Zhu, Bo Zhang
Interpretability of deep neural networks (DNNs) is essential since it enables users to understand the overall strengths and weaknesses of the models, conveys an understanding of how the models will behave in the future, and how to diagnose and correct potential problems.
no code implementations • 24 Nov 2014 • Jun Zhu, Jianfei Chen, Wen-Bo Hu, Bo Zhang
Explosive growth in data and availability of cheap computing resources have sparked increasing interest in Big learning, an emerging subfield that studies scalable machine learning algorithms, systems, and applications with Big Data.
no code implementations • 21 Nov 2016 • Fengfu Li, Hong Qiao, Bo Zhang
Based on these two components, we search for the local density peaks which are characterized with high local densities and high LDIs to deal with 1) and 2).
no code implementations • 27 Apr 2015 • Wenbo Hu, Jun Zhu, Bo Zhang
Bayesian max-margin models have shown superiority in various practical applications, such as text categorization, collaborative prediction, social network link prediction and crowdsourcing, and they conjoin the flexibility of Bayesian modeling and predictive strengths of max-margin learning.
no code implementations • 28 Sep 2016 • Shifeng Zhang, Jianmin Li, Jinma Guo, Bo Zhang
Hashing method maps similar data to binary hashcodes with smaller hamming distance, and it has received a broad attention due to its low storage cost and fast retrieval speed.
no code implementations • 7 Aug 2016 • Shaohua Wan, Zhijun Chen, Tao Zhang, Bo Zhang, Kong-kat Wong
Recently significant performance improvement in face detection was made possible by deeply trained convolutional networks.
no code implementations • 12 May 2016 • Fengfu Li, Xiayuan Huang, Hong Qiao, Bo Zhang
The proposed distance is more robust to rotations and translations of images than the traditional manifold distance and the CW-SSIM index based distance.
no code implementations • 25 Mar 2016 • Peijie Yin, Hong Qiao, Wei Wu, Lu Qi, YinLin Li, Shanlin Zhong, Bo Zhang
In general, the robustness and precision of recognition is one of the key problems for object recognition models.
no code implementations • 15 Jun 2015 • Chao Du, Jun Zhu, Bo Zhang
We present doubly stochastic gradient MCMC, a simple and generic method for (approximate) Bayesian inference of deep generative models (DGMs) in a collapsed continuous parameter space.
no code implementations • 24 Dec 2015 • Hugh Perkins, Minjie Xu, Jun Zhu, Bo Zhang
As one of the most popular classifiers, linear SVMs still have challenges in dealing with very large-scale problems, even though linear or sub-linear algorithms have been developed recently on single machines.
no code implementations • 7 Dec 2015 • Bei Chen, Ning Chen, Jun Zhu, Jiaming Song, Bo Zhang
We present a discriminative nonparametric latent feature relational model (LFRM) for link prediction to automatically infer the dimensionality of latent features.
no code implementations • 7 Dec 2015 • Bei Chen, Jun Zhu, Nan Yang, Tian Tian, Ming Zhou, Bo Zhang
Modeling document structure is of great importance for discourse analysis and related applications.
no code implementations • 16 Apr 2014 • Ning Chen, Jun Zhu, Jianfei Chen, Bo Zhang
To deal with the intractable expectation of the non-smooth hinge loss under corrupting distributions, we develop an iteratively re-weighted least square (IRLS) algorithm by exploring data augmentation techniques.
no code implementations • 10 Oct 2013 • Jun Zhu, Ning Chen, Hugh Perkins, Bo Zhang
Gibbs max-margin supervised topic models minimize an expected margin loss, which is an upper bound of the existing margin loss derived from an expected prediction rule.
no code implementations • 9 Oct 2013 • Ning Chen, Jun Zhu, Fei Xia, Bo Zhang
Many scientific and engineering fields involve analyzing network data.
no code implementations • ACL 2013 • Jun Zhu, Xun Zheng, Bo Zhang
Supervised topic models with a logistic likelihood have two issues that potentially limit their practical use: 1) response variables are usually over-weighted by document word counts; and 2) existing variational inference methods make strict mean-field assumptions.
no code implementations • 10 Jul 2018 • Kun Xu, Haoyu Liang, Jun Zhu, Hang Su, Bo Zhang
Deep generative models have shown promising results in generating realistic images, but it is still non-trivial to generate images with complicated structures.
no code implementations • ICLR 2019 • Chao Du, Kun Xu, Chongxuan Li, Jun Zhu, Bo Zhang
Implicit generative models are difficult to train as no explicit density functions are defined.
no code implementations • 21 Nov 2016 • Cunchao Tu, Xiangkai Zeng, Hao Wang, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun, Bo Zhang, Leyu Lin
Network representation learning (NRL) aims to learn low-dimensional vectors for vertices in a network.
Social and Information Networks Physics and Society
no code implementations • 25 Nov 2018 • Bo Zhang, Bin Chen, Jinyu Yang, Wenjing Yang, Jiankang Zhang
Motivated by Shannon's model and recent rehabilitation of self-supervised artificial intelligence having a "World Model", this paper propose an unified intelligence-communication (UIC) model for describing a single agent and any multi-agent system.
no code implementations • 14 Dec 2018 • Bo Zhang, Bin Chen, Jin-lin Peng
Firstly, as there is a finite number of possibilities in the game, is there a quantifiable intelligence measurement for evaluating intelligent systems, e. g. AlphaZero?
no code implementations • 21 Dec 2018 • Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Maosong Sun, Zhichong Fang, Bo Zhang, Leyu Lin
There is recently a surge in approaches that learn low-dimensional embeddings of nodes in networks.
no code implementations • ACL 2018 • Xinzhou Jiang, Zhenghua Li, Bo Zhang, Min Zhang, Sheng Li, Luo Si
Treebank conversion is a straightforward and effective way to exploit various heterogeneous treebanks for boosting parsing performance.
no code implementations • NeurIPS 2018 • Runsheng Yu, Wenyu Liu, Yasen Zhang, Zhi Qu, Deli Zhao, Bo Zhang
Based on these sub-images, a local exposure for each sub-image is automatically learned by virtue of policy network sequentially while the reward of learning is globally designed for striking a balance of overall exposures.
no code implementations • NeurIPS 2015 • Ming Liang, Xiaolin Hu, Bo Zhang
We adopt a deep recurrent convolutional neural network (RCNN) for this task, which is originally proposed for object recognition.
no code implementations • NeurIPS 2014 • Minjie Xu, Balaji Lakshminarayanan, Yee Whye Teh, Jun Zhu, Bo Zhang
We propose a distributed Markov chain Monte Carlo (MCMC) inference algorithm for large scale Bayesian posterior simulation.
no code implementations • NeurIPS 2013 • Jianfei Chen, Jun Zhu, Zi Wang, Xun Zheng, Bo Zhang
Logistic-normal topic models can effectively discover correlation structures among latent topics.
no code implementations • NeurIPS 2012 • Jianqiu Ji, Jianmin Li, Shuicheng Yan, Bo Zhang, Qi Tian
Sign-random-projection locality-sensitive hashing (SRP-LSH) is a probabilistic dimension reduction method which provides an unbiased estimate of angular similarity, yet suffers from the large variance of its estimation.
no code implementations • NeurIPS 2008 • Jun Zhu, Eric P. Xing, Bo Zhang
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unattainable fully annotated training data.
no code implementations • CVPR 2018 • Yulong Wang, Hang Su, Bo Zhang, Xiaolin Hu
Interpretability of a deep neural network aims to explain the rationale behind its decisions and enable the users to understand the intelligent agents, which has become an important issue due to its importance in practical applications.
no code implementations • ICLR 2020 • Chongxuan Li, Chao Du, Kun Xu, Max Welling, Jun Zhu, Bo Zhang
We propose a black-box algorithm called {\it Adversarial Variational Inference and Learning} (AdVIL) to perform inference and learning on a general Markov random field (MRF).
no code implementations • CVPR 2014 • Lingxi Xie, Jingdong Wang, Baining Guo, Bo Zhang, Qi Tian
The novelty lies in that OPM uses the 3D orientations to form the pyramid and produce the pooling regions, which is unlike SPM that uses the spatial positions to form the pyramid.
no code implementations • ICCV 2015 • Lingxi Xie, Jingdong Wang, Weiyao Lin, Bo Zhang, Qi Tian
In many fine-grained object recognition datasets, image orientation (left/right) might vary from sample to sample.
no code implementations • 2 Feb 2019 • Shifeng Zhang, Jianmin Li, Bo Zhang
Hashing method maps similar high-dimensional data to binary hashcodes with smaller hamming distance, and it has received broad attention due to its low storage cost and fast retrieval speed.
no code implementations • 26 Feb 2019 • Jinyu Yang, Bo Zhang
We first analyse the environment of the ITR and propose a relationship model for describing interactions of ITR with the students, the social milieu and the curriculum.
no code implementations • 22 Mar 2019 • Dongyang Zhao, Liang Zhang, Bo Zhang, Lizhou Zheng, Yongjun Bao, Weipeng Yan
To tackle this challenge, we propose a deep hierarchical reinforcement learning based recommendation framework, which consists of two components, i. e., high-level agent and low-level agent.
Hierarchical Reinforcement Learning Recommendation Systems +2
no code implementations • 26 Apr 2019 • David Wehr, Halley Fede, Eleanor Pence, Bo Zhang, Guilherme Ferreira, John Walczyk, Joseph Hughes
The abundance of open-source code, coupled with the success of recent advances in deep learning for natural language processing, has given rise to a promising new application of machine learning to source code.
no code implementations • 27 Jun 2019 • Deli Zhao, Jiapeng Zhu, Zhenfang Guo, Bo Zhang
The experiments on cat and human-face data validate that our algorithm is able to learn the optimal generative models (e. g. ProGAN) with respect to specified quality metrics for noisy data.
no code implementations • 22 Aug 2019 • Zihan Liu, Bo Huang, Yuqi Cui, Yifan Xu, Bo Zhang, Lixia Zhu, Yang Wang, Lei Jin, Dongrui Wu
Accurate classification of embryo early development stages can provide embryologists valuable information for assessing the embryo quality, and hence is critical to the success of IVF.
no code implementations • 17 Sep 2019 • Xiaoyu Yu, Yuwei Wang, Jie Miao, Ephrem Wu, Heng Zhang, Yu Meng, Bo Zhang, Biao Min, Dewei Chen, Jianlin Gao
Intensive computation is entering data centers with multiple workloads of deep learning.
no code implementations • IJCNLP 2019 • Bo Zhang, Xiao-Ming Zhang
Specifically, a hierarchical response generation (HRG) framework is proposed to capture the conversation intention in a natural and coherent way.
no code implementations • 3 Nov 2019 • Yikai Wang, Liang Zhang, Quanyu Dai, Fuchun Sun, Bo Zhang, Yang He, Weipeng Yan, Yongjun Bao
In deep CTR models, exploiting users' historical data is essential for learning users' behaviors and interests.
no code implementations • 10 Nov 2019 • Bo Zhang, Yuqi Cui, Meng Wang, Jingjing Li, Lei Jin, Dongrui Wu
Tens of millions of women suffer from infertility worldwide each year.
no code implementations • 11 Dec 2019 • Hong Luo, Han Liu, Kejun Li, Bo Zhang
An essential criterion for FS image quality control is that all the essential anatomical structures in the section should appear full and remarkable with a clear boundary.
no code implementations • 16 Dec 2019 • Charles K. Chui, Shao-Bo Lin, Bo Zhang, Ding-Xuan Zhou
The great success of deep learning poses urgent challenges for understanding its working mechanism and rationality.
no code implementations • 21 Dec 2019 • Deli Zhao, Jiapeng Zhu, Bo Zhang
Variational Auto-Encoder (VAE) has been widely applied as a fundamental generative model in machine learning.
no code implementations • 30 Dec 2019 • Jixiang Li, Chuming Liang, Bo Zhang, Zhao Wang, Fei Xiang, Xiangxiang Chu
Convolutional neural networks are widely adopted in Acoustic Scene Classification (ASC) tasks, but they generally carry a heavy computational burden.
no code implementations • 29 Feb 2020 • Kang Wei, Jun Li, Ming Ding, Chuan Ma, Hang Su, Bo Zhang, H. Vincent Poor
According to our analysis, the UDP framework can realize $(\epsilon_{i}, \delta_{i})$-LDP for the $i$-th MT with adjustable privacy protection levels by varying the variances of the artificial noise processes.
no code implementations • 8 Mar 2020 • Lone Wong, Deli Zhao, Shaohua Wan, Bo Zhang
Progressive growing enhances image resolution gradually, thereby preserving precision of recovered image.
no code implementations • ACL 2020 • Bo Zhang, Yue Zhang, Rui Wang, Zhenghua Li, Min Zhang
The experimental results show that syntactic information is highly valuable for ORL, and our final MTL model effectively boosts the F1 score by 9. 29 over the syntax-agnostic baseline.
no code implementations • ICML 2020 • Kun Xu, Chongxuan Li, Jun Zhu, Bo Zhang
There are existing efforts that model the training dynamics of GANs in the parameter space but the analysis cannot directly motivate practically effective stabilizing methods.
no code implementations • ICCV 2023 • Xiaoxing Wang, Xiangxiang Chu, Yuda Fan, Zhexi Zhang, Bo Zhang, Xiaokang Yang, Junchi Yan
Albeit being a prevalent architecture searching approach, differentiable architecture search (DARTS) is largely hindered by its substantial memory cost since the entire supernet resides in the memory.
no code implementations • 26 Nov 2020 • Xiangxiang Chu, Xiaohang Zhan, Bo Zhang
Recent unsupervised contrastive representation learning follows a Single Instance Multi-view (SIM) paradigm where positive pairs are usually constructed with intra-image data augmentation.
no code implementations • 30 Mar 2020 • Xiyi Wei, Yu-Tian Xiao, Jian Wang, Rui Chen, Wei zhang, Yue Yang, Daojun Lv, Chao Qin, Di Gu, Bo Zhang, Weidong Chen, Jianquan Hou, Ninghong Song, Guohua Zeng, Shancheng Ren
Objective: To conduct a meta-analysis of current studies that examined sex differences in severity and mortality in patients with COVID-19, and identify potential mechanisms underpinning these differences.
no code implementations • 7 Jan 2021 • Jing Li, Xiang-Xiang Xue, Chao Liu, Bo Zhang, Hans-Walter Rix, Jeffrey L. Carlin, Chengqun Yang, Rene A. Mendez, Jing Zhong, Hao Tian, Lan Zhang, Yan Xu, Yaqian Wu, Gang Zhao, Ruixiang Chang
Their location in [$\alpha$/M] vs. [M/H] space is more metal poor than typical thin disk stars, with [$\alpha$/M] \textbf{lower} than the thick disk.
Astrophysics of Galaxies
no code implementations • 11 Jan 2021 • Xiaodong Yang, Yunrui Ge, Bo Zhang, Jun Li
High-fidelity control of quantum systems is crucial for quantum information processing, but is often limited by perturbations from the environment and imperfections in the applied control fields.
Quantum Physics
no code implementations • 1 Feb 2021 • Yang Yu, Hai-Feng Wang, Wen-Yuan Cui, Lin-Lin Li, Chao Liu, Bo Zhang, Hao Tian, Zhen-Yan Huo, Jie Ju, Zhi-Cun Liu, Fang Wen, Shuai Feng
We present analysis of the spatial density structure for the outer disk from 8$-$14 \, kpc with the LAMOST DR5 13534 OB-type stars and observe similar flaring on north and south sides of the disk implying that the flaring structure is symmetrical about the Galactic plane, for which the scale height at different Galactocentric distance is from 0. 14 to 0. 5 \, kpc.
Astrophysics of Galaxies
no code implementations • 7 Feb 2021 • Ruobing Xie, Qi Liu, Shukai Liu, Ziwei Zhang, Peng Cui, Bo Zhang, Leyu Lin
In this paper, we propose a novel Heterogeneous graph neural network framework for diversified recommendation (GraphDR) in matching to improve both recommendation accuracy and diversity.
no code implementations • 8 Sep 2020 • Bo Zhang, Wenfeng Li, Qingyuan Li, Weiji Zhuang, Xiangxiang Chu, Yujun Wang
Smart audio devices are gated by an always-on lightweight keyword spotting program to reduce power consumption.
no code implementations • 28 Feb 2021 • JunRu Luo, Hong Qiao, Bo Zhang
On the other hand, the minimax probability machine is a popular method for binary classification problems and aims at learning a linear classifier by maximizing the accuracy rate, which makes it unsuitable to deal with imbalanced classification tasks.
no code implementations • 27 Feb 2021 • JunRu Luo, Hong Qiao, Bo Zhang
Due to the non-smoothness of the Hinge loss in SVM, it is difficult to obtain a faster convergence rate with modern optimization algorithms.
no code implementations • 11 Mar 2021 • Bo Zhang, Ming Zhu, Zhong-Zu Wu, Qing-Zheng Yu, Peng Jiang, You-Ling Yue, Meng-Lin Huang, Qiao-Li Hao
Our observations successfully confirmed the existence of HI absorption lines in all these systems, including two sources that were marginally detected by ALFALFA.
Astrophysics of Galaxies
no code implementations • CVPR 2021 • Zhikai Chen, Lingxi Xie, Shanmin Pang, Yong He, Bo Zhang
This paper presents MagDR, a mask-guided detection and reconstruction pipeline for defending deepfakes from adversarial attacks.
no code implementations • 3 Jul 2020 • Bo Zhang, Renzhi Yuan, Jianfeng Sun, Julian Cheng, Mohamed-Slim Alouini
A free-space optical communication system using non-mode-selective photonic lantern (PL) based coherent receiver is studied.
no code implementations • 15 Apr 2021 • Shuxiao Chen, Bo Zhang
Estimating dynamic treatment regimes (DTRs) from retrospective observational data is challenging as some degree of unmeasured confounding is often expected.
no code implementations • ICCV 2021 • Xiaoyu Li, Bo Zhang, Jing Liao, Pedro V. Sander
This new dataset and our novel framework lead to our method that is able to address different contaminants and outperforms competitive restoration approaches both qualitatively and quantitatively.