no code implementations • CCL 2021 • Hao Wang, Junhui Li, ZhengXian Gong
“在汉语等其他有省略代词习惯的语言中, 通常会删掉可从上下文信息推断出的代词。尽管以Transformer为代表的的神经机器翻译模型取得了巨大的成功, 但这种省略现象依旧对神经机器翻译模型造成了很大的挑战。本文在Transformer基础上提出了一个融合零指代识别的翻译模型, 并引入篇章上下文来丰富指代信息。具体地, 该模型采用联合学习的框架, 在翻译模型基础上, 联合了一个分类任务, 即判别句子中省略代词在句子所表示的成分, 使得模型能够融合零指代信息辅助翻译。通过在中英对话数据集上的实验, 验证了本文提出方法的有效性, 与基准模型相比, 翻译性能提升了1. 48个BLEU值。”
no code implementations • NLP4ConvAI (ACL) 2022 • Tong Zhang, Yong liu, Boyang Li, Peixiang Zhong, Chen Zhang, Hao Wang, Chunyan Miao
Conversational Recommendation Systems recommend items through language based interactions with users. In order to generate naturalistic conversations and effectively utilize knowledge graphs (KGs) containing background information, we propose a novel Bag-of-Entities loss, which encourages the generated utterances to mention concepts related to the item being recommended, such as the genre or director of a movie.
1 code implementation • ECCV 2020 • Xiangyu Zhu, Fan Yang, Di Huang, Chang Yu, Hao Wang, Jianzhu Guo, Zhen Lei, Stan Z. Li
However, most of their training data is constructed by 3D Morphable Model, whose space spanned is only a small part of the shape space.
no code implementations • 4 Dec 2023 • Cameron Martin, Fucai Ke, Hao Wang
Our experimental results demonstrate high-accuracy EV charging detection at the feeder level, achieving an F-Score of 98. 88% in offline detection and 93. 01% in online detection.
no code implementations • 2 Dec 2023 • Qipan Xu, Youlong Ding, Jie Gao, Hao Wang
Data privacy protection is garnering increased attention among researchers.
no code implementations • 27 Nov 2023 • Zherui Chen, Yuchen Lu, Hao Wang, Yizhou Liu, Tongyang Li
Finally, based on the observations when comparing QLD with classical Fokker-Plank-Smoluchowski equation, we propose a time-dependent QLD by making temperature and $\hbar$ time-dependent parameters, which can be theoretically proven to converge better than the time-independent case and also outperforms a series of state-of-the-art quantum and classical optimization algorithms in many non-convex landscapes.
1 code implementation • NeurIPS 2023 • Jianqing Zhang, Yang Hua, Jian Cao, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan
Recently, federated learning (FL) is popular for its privacy-preserving and collaborative learning abilities.
no code implementations • 21 Nov 2023 • Zeyu Gao, Hao Wang, Yuchen Zhou, Wenyu Zhu, Chao Zhang
Given the significant successes of Large Language Models (LLMs) in various tasks, there is growing anticipation of their efficacy in vulnerability detection.
no code implementations • 19 Nov 2023 • Jiajie Fan, Laure Vuaille, Thomas Bäck, Hao Wang
We delve into the impact of noise schedules of diffusion models on the plausibility of the outcome: there exists a range of noise levels at which the model's performance decides the result plausibility.
no code implementations • 15 Nov 2023 • Hao Wang
As a preprocessing step to recommender system algorithms, histogram equalization could enhance both the accuracy and fairness metrics of the recommender system algorithms.
no code implementations • 9 Nov 2023 • Rui Xu, Wenkang Qin, Peixiang Huang, Hao Wang, Lin Luo
Deep Neural Networks (DNNs) are expected to provide explanation for users to understand their black-box predictions.
1 code implementation • 6 Nov 2023 • Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong liu, Ruiming Tang, Defu Lian, Enhong Chen
To this end, we propose a graph-driven framework, named Adaptive and Personalized Graph Learning for Sequential Recommendation (APGL4SR), that incorporates adaptive and personalized global collaborative information into sequential recommendation systems.
1 code implementation • 2 Nov 2023 • Yining Ye, Xin Cong, Shizuo Tian, Jiannan Cao, Hao Wang, Yujia Qin, Yaxi Lu, Heyang Yu, Huadong Wang, Yankai Lin, Zhiyuan Liu, Maosong Sun
Empirical experiments are conducted to detail its construction and execution procedure of workflow, showcasing the feasibility of APA, unveiling the possibility of a new paradigm of automation driven by agents.
1 code implementation • 30 Oct 2023 • Ziqian Lin, Hao Ding, Nghia Hoang, Branislav Kveton, Anoop Deoras, Hao Wang
In particular, we propose to develop a generic recommender that captures universal interaction patterns by training on generic user-item interaction data extracted from different domains, which can then be fast adapted to improve few-shot learning performance in unseen new domains (with limited data).
no code implementations • 28 Oct 2023 • Hao Wang
Human culture has evolved for thousands of years and thrived in the era of Internet.
1 code implementation • 28 Oct 2023 • Hao Wang, Euijoon Ahn, Lei Bi, Jinman Kim
The clinical diagnosis of skin lesion involves the analysis of dermoscopic and clinical modalities.
no code implementations • 28 Oct 2023 • Hao Wang, Zhi-Qi Cheng, Jingdong Sun, Xin Yang, Xiao Wu, Hongyang Chen, Yan Yang
Multi-view or even multi-modal data is appealing yet challenging for real-world applications.
no code implementations • 24 Oct 2023 • Yuxiang Wang, Xiao Yan, Chuang Hu, Fangcheng Fu, Wentao Zhang, Hao Wang, Shuo Shang, Jiawei Jiang
For graph self-supervised learning (GSSL), masked autoencoder (MAE) follows the generative paradigm and learns to reconstruct masked graph edges or node features.
1 code implementation • 24 Oct 2023 • Shukang Yin, Chaoyou Fu, Sirui Zhao, Tong Xu, Hao Wang, Dianbo Sui, Yunhang Shen, Ke Li, Xing Sun, Enhong Chen
Hallucination is a big shadow hanging over the rapidly evolving Multimodal Large Language Models (MLLMs), referring to the phenomenon that the generated text is inconsistent with the image content.
no code implementations • 23 Oct 2023 • Hao Wang, Xiahua Chen, Rui Wang, Chenhui Chu
Extracting meaningful entities belonging to predefined categories from Visually-rich Form-like Documents (VFDs) is a challenging task.
no code implementations • 23 Oct 2023 • Yihuai Lan, Zhiqiang Hu, Lei Wang, Yang Wang, Deheng Ye, Peilin Zhao, Ee-Peng Lim, Hui Xiong, Hao Wang
To achieve this goal, we adopt Avalon, a representative communication game, as the environment and use system prompts to guide LLM agents to play the game.
1 code implementation • 23 Oct 2023 • Hao Wang, Qingxuan Wang, Yue Li, Changqing Wang, Chenhui Chu, Rui Wang
The use of visually-rich documents (VRDs) in various fields has created a demand for Document AI models that can read and comprehend documents like humans, which requires the overcoming of technical, linguistic, and cognitive barriers.
no code implementations • 20 Oct 2023 • Xu Huang, Jianxun Lian, Hao Wang, Defu Lian, Xing Xie
Recommendation systems effectively guide users in locating their desired information within extensive content repositories.
no code implementations • 18 Oct 2023 • Baofu Fang, Caiming Zheng, Hao Wang
To eliminate this assumption and achieve agent modeling in unknown scenarios, Fact-based Agent modeling (FAM) method is proposed in which fact-based belief inference (FBI) network models other agents in partially observable environment only based on its local information.
no code implementations • 17 Oct 2023 • Xianyue Peng, Hang Gao, Hao Wang, H. Michael Zhang
Over the years, reinforcement learning has emerged as a popular approach to develop signal control and vehicle platooning strategies either independently or in a hierarchical way.
no code implementations • 16 Oct 2023 • Xianyue Peng, Hang Gao, Gengyue Han, Hao Wang, Michael Zhang
In this paper, we propose a joint optimization approach for traffic signal control and vehicle routing in signalized road networks.
no code implementations • 15 Oct 2023 • Haoyuan Sun, Navid Azizan, Akash Srivastava, Hao Wang
When machine learning models are trained on synthetic data and then deployed on real data, there is often a performance drop due to the distribution shift between synthetic and real data.
no code implementations • 14 Oct 2023 • Hao Wang, Qiang Song, Ruofeng Yin, Rui Ma, Yizhou Yu, Yi Chang
In this paper, we propose B-Spine, a novel deep learning pipeline to learn B-spline curve representation of the spine and estimate the Cobb angles for spinal curvature estimation from low-quality X-ray images.
1 code implementation • 9 Oct 2023 • Yongfu Dai, Duanyu Feng, Jimin Huang, Haochen Jia, Qianqian Xie, Yifang Zhang, Weiguang Han, Wei Tian, Hao Wang
We have completed the first phase of evaluation, which mainly focuses on the capability of basic legal NLP.
no code implementations • 9 Oct 2023 • Yong Lin, Fan Zhou, Lu Tan, Lintao Ma, Jiameng Liu, Yansu He, Yuan Yuan, Yu Liu, James Zhang, Yujiu Yang, Hao Wang
To address this challenge, we then propose Continuous Invariance Learning (CIL), which extracts invariant features across continuously indexed domains.
1 code implementation • 1 Oct 2023 • Duanyu Feng, Yongfu Dai, Jimin Huang, Yifang Zhang, Qianqian Xie, Weiguang Han, Alejandro Lopez-Lira, Hao Wang
We then propose the first Credit and Risk Assessment Large Language Model (CALM) by instruction tuning, tailored to the nuanced demands of various financial risk assessment tasks.
no code implementations • 29 Sep 2023 • Mengke Zhang, Tianxing He, Tianle Wang, Lu Mi, FatemehSadat Mireshghallah, Binyi Chen, Hao Wang, Yulia Tsvetkov
In the current user-server interaction paradigm of prompted generation with large language models (LLM) on cloud, the server fully controls the generation process, which leaves zero options for users who want to keep the generated text to themselves.
no code implementations • 24 Sep 2023 • Hao Wang, Björn Johansson
The mating of connectors is essential in the final assembly of automotive wire harnesses due to the importance of connectors on wire harness connection and signal transmission.
no code implementations • 24 Sep 2023 • Hao Wang, Omkar Salunkhe, Walter Quadrini, Björn Johansson, Dan Lämkull, Fredrik Ore, Mélanie Despeisse, Luca Fumagalli, Johan Stahre
This article presents a systematic literature review on computer vision applications that have been proposed for robotized wire harness assembly, derives challenges from existing studies, and identifies opportunities for future research to promote a more practical robotized assembly of wire harnesses.
no code implementations • 24 Sep 2023 • Hao Wang, Omkar Salunkhe, Walter Quadrini, Dan Lämkull, Fredrik Ore, Björn Johansson, Johan Stahre
This paradigm shift places more demand on automotive wiring harnesses from the safety perspective and stresses the greater importance of high-quality wire harness assembly in vehicles.
no code implementations • 23 Sep 2023 • Zhichao Chen, Leilei Ding, Zhixuan Chu, Yucheng Qi, Jianmin Huang, Hao Wang
Time-Series Forecasting based on Cumulative Data (TSFCD) is a crucial problem in decision-making across various industrial scenarios.
no code implementations • 22 Sep 2023 • Jia Qi Yip, Shengkui Zhao, Yukun Ma, Chongjia Ni, Chong Zhang, Hao Wang, Trung Hieu Nguyen, Kun Zhou, Dianwen Ng, Eng Siong Chng, Bin Ma
Dual-path is a popular architecture for speech separation models (e. g. Sepformer) which splits long sequences into overlapping chunks for its intra- and inter-blocks that separately model intra-chunk local features and inter-chunk global relationships.
no code implementations • 18 Sep 2023 • Hao Wang, Libo Zhang, Heng Fan, Tiejian Luo
Meanwhile, we propose a cross-granularity attention module to align the interactions modeled by the three branches of transformers, then the three branches of transformers can support each other to exploit the most discriminative semantic information of different granularities for accurate predictions of captions.
no code implementations • 5 Sep 2023 • Yunqi Wang, Hao Wang, Markus Wagner, Ariel Liebman
The results show significant improvements in voltage regulation and DER utilization, demonstrating the potential of C-BESS in enabling more reliable DN operation.
no code implementations • 27 Aug 2023 • Jinhao Li, Yu Hui Yuan, Qiushi Cui, Hao Wang
Therefore, we are motivated to develop a comprehensive multi-objective framework for optimal CS placement in a traffic network overlaid by a distribution network, considering multiple stakeholders' interested factors, such as traffic flow, PEV charging time cost, PEV travel distance, and the reliability of the distribution network.
no code implementations • 27 Aug 2023 • Xinyu Liang, Hao Wang
Residential occupancy detection has become an enabling technology in today's urbanized world for various smart home applications, such as building automation, energy management, and improved security and comfort.
no code implementations • 27 Aug 2023 • Jiarong Fan, Hao Wang, Ariel Liebman
This paper addresses the EV charging coordination by considering vehicle-to-vehicle (V2V) energy exchange as the flexibility to harness in EV charging stations.
no code implementations • 24 Aug 2023 • Wenyu Zhu, Hao Wang, Yuchen Zhou, JiaMing Wang, Zihan Sha, Zeyu Gao, Chao Zhang
By feeding explicit knowledge as additional inputs to the Transformer, and fusing implicit knowledge with a novel pre-training task, kTrans provides a new perspective to incorporating domain knowledge into a Transformer framework.
3 code implementations • ICCV 2023 • Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao, Haibing Guan
Federated Learning (FL) is popular for its privacy-preserving and collaborative learning capabilities.
1 code implementation • 18 Aug 2023 • Cheng Li, Ziang Leng, Chenxi Yan, Junyi Shen, Hao Wang, Weishi MI, Yaying Fei, Xiaoyang Feng, Song Yan, HaoSheng Wang, Linkang Zhan, Yaokai Jia, Pingyu Wu, Haozhen Sun
Role-playing chatbots built on large language models have drawn interest, but better techniques are needed to enable mimicking specific fictional characters.
no code implementations • 15 Aug 2023 • Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen
However, the multi-faceted semantic orientation in the feature-semantic alignment has been neglected by previous work, i. e. the content of a node usually covers diverse topics that are relevant to the semantics of multiple labels.
no code implementations • 9 Aug 2023 • Liping Wang, Jiawei Li, Lifan Zhao, Zhizhuo Kou, Xiaohan Wang, Xinyi Zhu, Hao Wang, Yanyan Shen, Lei Chen
Predicting stock prices presents a challenging research problem due to the inherent volatility and non-linear nature of the stock market.
no code implementations • 8 Aug 2023 • Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li, Xu Yuan
Federated learning (FL) has been widely deployed to enable machine learning training on sensitive data across distributed devices.
no code implementations • 5 Aug 2023 • Hao Wang, Jianxun Lian, Mingqi Wu, Haoxuan Li, Jiajun Fan, Wanyue Xu, Chaozhuo Li, Xing Xie
Sequential user modeling, a critical task in personalized recommender systems, focuses on predicting the next item a user would prefer, requiring a deep understanding of user behavior sequences.
no code implementations • ICCV 2023 • Jinjing Zhu, Yunhao Luo, Xu Zheng, Hao Wang, Lin Wang
In this paper, we strive to answer the question "how to collaboratively learn convolutional neural network (CNN)-based and vision transformer (ViT)-based models by selecting and exchanging the reliable knowledge between them for semantic segmentation?"
no code implementations • 24 Jul 2023 • Lei Cai, Hao Wang, Congling Zhou, Yongqiang Wang, Boyu Liu
To solve the problem that the feature information of pole-like obstacles in complex environments is easily lost, resulting in low detection accuracy and low real-time performance, a multi-scale hybrid attention mechanism detection algorithm is proposed in this paper.
1 code implementation • NeurIPS 2023 • Marcel Kollovieh, Abdul Fatir Ansari, Michael Bohlke-Schneider, Jasper Zschiegner, Hao Wang, Yuyang Wang
Prior works on time series diffusion models have primarily focused on developing conditional models tailored to specific forecasting or imputation tasks.
no code implementations • 19 Jul 2023 • Xiaohong Liu, Xiongkuo Min, Wei Sun, Yulun Zhang, Kai Zhang, Radu Timofte, Guangtao Zhai, Yixuan Gao, Yuqin Cao, Tengchuan Kou, Yunlong Dong, Ziheng Jia, Yilin Li, Wei Wu, Shuming Hu, Sibin Deng, Pengxiang Xiao, Ying Chen, Kai Li, Kai Zhao, Kun Yuan, Ming Sun, Heng Cong, Hao Wang, Lingzhi Fu, Yusheng Zhang, Rongyu Zhang, Hang Shi, Qihang Xu, Longan Xiao, Zhiliang Ma, Mirko Agarla, Luigi Celona, Claudio Rota, Raimondo Schettini, Zhiwei Huang, Yanan Li, Xiaotao Wang, Lei Lei, Hongye Liu, Wei Hong, Ironhead Chuang, Allen Lin, Drake Guan, Iris Chen, Kae Lou, Willy Huang, Yachun Tasi, Yvonne Kao, Haotian Fan, Fangyuan Kong, Shiqi Zhou, Hao liu, Yu Lai, Shanshan Chen, Wenqi Wang, HaoNing Wu, Chaofeng Chen, Chunzheng Zhu, Zekun Guo, Shiling Zhao, Haibing Yin, Hongkui Wang, Hanene Brachemi Meftah, Sid Ahmed Fezza, Wassim Hamidouche, Olivier Déforges, Tengfei Shi, Azadeh Mansouri, Hossein Motamednia, Amir Hossein Bakhtiari, Ahmad Mahmoudi Aznaveh
61 participating teams submitted their prediction results during the development phase, with a total of 3168 submissions.
no code implementations • 19 Jul 2023 • Jiajie Fan, Laure Vuaille, Hao Wang, Thomas Bäck
The potential of SA-ALAE is shown by generating engineering blueprints in a real automotive design task.
1 code implementation • 12 Jul 2023 • Hao Wang, Jiatai Lin, Danyi Li, Jing Wang, Bingchao Zhao, Zhenwei Shi, Xipeng Pan, Huadeng Wang, Bingbing Li, Changhong Liang, Guoqiang Han, Li Liang, Chu Han, Zaiyi Liu
And the feature diversity is preserved by inter- and intra- class feature diversity-preserved module (InCDP).
1 code implementation • 12 Jul 2023 • Hao Wang, Jiabei Zhu, Yunzhe Li, QianWan Yang, Lei Tian
Unlike traditional neural fields frameworks, LCNF incorporates a local conditional representation that promotes model generalization, learning multiscale information, and efficient processing of large-scale imaging data.
no code implementations • 6 Jul 2023 • Hao Wang
Unlike other sectors such as fraud detection in the Fintech industry, recommender system is both deep and broad.
no code implementations • 6 Jul 2023 • Hao Wang
In 2007, a density-based clustering algorithm named DENCLUE was invented to solve clustering problem for nonlinear data structures.
3 code implementations • 1 Jul 2023 • Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan
To address this, we propose the Federated Conditional Policy (FedCP) method, which generates a conditional policy for each sample to separate the global information and personalized information in its features and then processes them by a global head and a personalized head, respectively.
no code implementations • 30 Jun 2023 • Jianchao Ji, Zelong Li, Shuyuan Xu, Max Xiong, Juntao Tan, Yingqiang Ge, Hao Wang, Yongfeng Zhang
In this paper, we explore how the two reasoning abilities can be jointly modeled to enhance both accuracy and explainability of machine learning models.
1 code implementation • 28 Jun 2023 • Qingqiao Hu, Hao Wang, Jing Luo, Yunhao Luo, Zhiheng Zhangg, Jan S. Kirschke, Benedikt Wiestler, Bjoern Menze, JianGuo Zhang, Hongwei Bran Li
We introduce a novel Bayesian neural network-based architecture to estimate inter-rater uncertainty in medical image segmentation.
1 code implementation • 26 Jun 2023 • Zhiwei Xu, Hao Wang, Yanbin Liu, Stephen Gould
We explore two differentiable deep declarative layers, namely least squares on sphere (LESS) and implicit eigen decomposition (IED), for learning the principal matrix features (PMaF).
no code implementations • 23 Jun 2023 • Hao Wang, Xiwen Chen, Natan Vital, Edward. Duffy, Abolfazl Razi
It takes only a total of 40 minutes for 5 epochs (about 7. 75 minutes per epoch) to train a network with superior performance and covering diverse conditions for its low-complexity architecture; therefore, it easily adapts to changes in the building setups, weather conditions, occupancy rate, etc.
1 code implementation • 13 Jun 2023 • Tianyi Liu, Zihao Xu, Hao He, Guang-Yuan Hao, Guang-He Lee, Hao Wang
Domain adaptation aims to mitigate distribution shifts among different domains.
no code implementations • 11 Jun 2023 • Hao Wang
In this paper, we propose a fair recommender system algorithm that uses Poisson process and Skellam distribution.
no code implementations • 9 Jun 2023 • Jingquan Yan, Hao Wang
Interpretable time series prediction is crucial for safety-critical areas such as healthcare and autonomous driving.
no code implementations • 3 Jun 2023 • Hao Wang, Ruihong He, XiaoYu Zhang, Zhaoying Bian, Dong Zeng, Jianhua Ma
In this work, we propose a novel peer-to-peer federated continual learning strategy to improve low-dose CT imaging performance from multiple institutions.
no code implementations • 31 May 2023 • Young-Jin Park, Hao Wang, Shervin Ardeshir, Navid Azizan
Self-supervised pre-trained models extract general-purpose representations from data, and quantifying how reliable they are is crucial because many downstream models use these representations as input for their own tasks.
1 code implementation • 31 May 2023 • Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, HengShu Zhu, Qi Liu, Hui Xiong, Enhong Chen
Large Language Models (LLMs) have emerged as powerful tools in the field of Natural Language Processing (NLP) and have recently gained significant attention in the domain of Recommendation Systems (RS).
no code implementations • 28 May 2023 • Youlong Ding, Xueyang Wu, Hao Wang, Weike Pan
The Transformer has emerged as a versatile and effective architecture with broad applications.
no code implementations • 25 May 2023 • Yuxin Huang, Hao Wang, Zhaoran Liu, Licheng Pan, Haozhe Li, Xinggao Liu
Accurate estimation of multiple quality variables is critical for building industrial soft sensor models, which have long been confronted with data efficiency and negative transfer issues.
1 code implementation • 22 May 2023 • Hao Wang, Hirofumi Shimizu, Daisuke Kawahara
To solve this problem, we construct the first Classical-Chinese-to-Kanbun dataset in the world.
no code implementations • 19 May 2023 • Yongsheng Yu, Hao Wang, Tiejian Luo, Heng Fan, Libo Zhang
In this paper, we propose a novel, simple yet effective method for Multi-modal Guided Image Completion, dubbed MaGIC, which not only supports a wide range of single modality as the guidance (e. g., text, canny edge, sketch, segmentation, depth, and pose), but also adapts to arbitrarily customized combination of these modalities (i. e., arbitrary multi-modality) for image completion.
no code implementations • 19 May 2023 • Shun Zhang, Haoran Sun, Runze Yu, Hongshenyuan Cui, Jian Ren, Feifei Gao, Shi Jin, Hongxiang Xie, Hao Wang
In particular, we adopt a self-developed broadband intelligent communication system 40MHz-Net (BICT-40N) terminal in order to fully acquire the channel information.
no code implementations • 9 May 2023 • Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang, Jiangcheng Zhu, Hao Wang, Shu-Tao Xia
The exploration problem is one of the main challenges in deep reinforcement learning (RL).
Ranked #1 on
Atari Games
on Atari-57
1 code implementation • 27 Apr 2023 • Jiutian Zhao, Liang Luo, Hao Wang
Comparative experimental results on both datasets show that SMC-2 outperforms Label Smoothing Regularizaion and Self-distillation From The Last Mini-batch on all models, and outperforms the state-of-the-art Sharpness-Aware Minimization method on 83% of the models. Compatibility of SMC-2 and data augmentation experimental results show that using both SMC-2 and data augmentation improves the generalization ability of the model between 0. 28% and 1. 80% compared to using only data augmentation.
no code implementations • 8 Apr 2023 • Yangyang Guo, Hao Wang, Lei He, Witold Pedrycz, P. N. Suganthan, Yanjie Song
The RL-GP adopts the ensemble population strategies.
no code implementations • 5 Apr 2023 • Aditya Khele, Canchen Jiang, Hao Wang
We formulate a cost minimization problem for an EV charging station to optimize the V2V schedule together with vehicle-to-grid (V2G), grid-to-vehicle (G2V) charging, as well as the use of renewable energy.
no code implementations • 5 Apr 2023 • Canchen Jiang, Ariel Liebman, Hao Wang
The EV coordination can provide value to the grid and generate benefits for EVs.
no code implementations • 5 Apr 2023 • Jinhao Li, Changlong Wang, Hao Wang
However, the variable nature of wind generation can undermine system reliability and lead to wind curtailment, causing substantial economic losses to wind power producers.
no code implementations • 28 Mar 2023 • Yunfan Zhang, Hao Wang, Guosheng Lin, Vun Chan Hua Nicholas, Zhiqi Shen, Chunyan Miao
This paper investigates an open research task of reconstructing and generating 3D point clouds.
no code implementations • 25 Mar 2023 • Hao Wang
Understanding the evolution pattern and its underlying mechanism is the key to understand the structures of input data for recommender systems.
no code implementations • 25 Mar 2023 • Hao Wang
We continue the research in this direction in this paper, and visualize the inner structure of the parameter space of matrix factorization technologies.
1 code implementation • CVPR 2023 • Jiacheng Wei, Hao Wang, Jiashi Feng, Guosheng Lin, Kim-Hui Yap
We conduct extensive experiments to analyze each of our proposed components and show the efficacy of our framework in generating high-fidelity 3D textured and text-relevant shapes.
no code implementations • 22 Mar 2023 • Hao Wang, Chen Li, JinZhe Jiang, Xin Zhang, YaQian Zhao, Weifeng Gong
Recently, the robustness of deep learning models has received widespread attention, and various methods for improving model robustness have been proposed, including adversarial training, model architecture modification, design of loss functions, certified defenses, and so on.
no code implementations • 20 Mar 2023 • Hao Wang, Euijoon Ahn, Jinman Kim
These SSL approaches, however, are not designed for handling multi-resolution WSIs, which limits their performance in learning discriminative image features.
1 code implementation • 16 Mar 2023 • Tong Wu, Hao Wang, Zhongshen Zeng, Wei Wang, Hai-Tao Zheng, Jiaxing Zhang
Recently, there has been a surge in the use of generated data to enhance the performance of downstream models, largely due to the advancements in pre-trained language models.
no code implementations • 11 Mar 2023 • Hao Wang
Topology is the foundation for many industrial applications ranging from CAD to simulation analysis.
no code implementations • 11 Mar 2023 • Hao Wang
One important sub-field of recommender systems that has been stagnating is context-aware recommender systems.
no code implementations • 8 Mar 2023 • Hao Wang
Collaborative filtering is the simplest but oldest machine learning algorithm in the field of recommender systems.
no code implementations • 2 Mar 2023 • Hao Wang
Recommender system exists everywhere in the business world.
no code implementations • 1 Mar 2023 • Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, Enhong Chen
Sequential Recommendation is a widely studied paradigm for learning users' dynamic interests from historical interactions for predicting the next potential item.
no code implementations • 25 Feb 2023 • Eli Bacher-Chong, Mostafa Ali Ayubirad, Zeng Qiu, Hao Wang, Alireza Goshtasbi, Hamid R. Ossareh
Compared with a single-input single-output (SISO) air-flow control approach, the proposed MIMO control approach shows up to 7. 36 percent lower hydrogen fuel consumption.
no code implementations • 21 Feb 2023 • Licheng Pan, Hao Wang, Zhichao Chen, Yuxing Huang, Xinggao Liu
We further present a Task-aware Mixture-of-Experts framework for achieving the Pareto optimum (TMoE-P) in multi-variate soft sensor, which consists of a stacked OMoE module and a POR module.
no code implementations • 21 Feb 2023 • Hao Wang, Zhiyu Wang, Yunlong Niu, Zhaoran Liu, Haozhe Li, Yilin Liao, Yuxin Huang, Xinggao Liu
An accurate and explainable automatic monitoring system is critical for the safety of high efficiency energy conversion plants that operate under extreme working condition.
no code implementations • 17 Feb 2023 • Diederick Vermetten, Hao Wang, Kevin Sim, Emma Hart
These features are then used to predict what algorithm to switch to.
2 code implementations • 6 Feb 2023 • Zihao Xu, Guang-Yuan Hao, Hao He, Hao Wang
To address this challenge, we first provide a formal definition of domain index from the probabilistic perspective, and then propose an adversarial variational Bayesian framework that infers domain indices from multi-domain data, thereby providing additional insight on domain relations and improving domain adaptation performance.
no code implementations • 4 Feb 2023 • Mike Van Ness, Huibin Shen, Hao Wang, Xiaoyong Jin, Danielle C. Maddix, Karthick Gopalswamy
Meta-forecasting is a newly emerging field which combines meta-learning and time series forecasting.
1 code implementation • 2 Feb 2023 • Frank Neumann, Aneta Neumann, Chao Qian, Viet Anh Do, Jacob de Nobel, Diederick Vermetten, Saba Sadeghi Ahouei, Furong Ye, Hao Wang, Thomas Bäck
Submodular functions play a key role in the area of optimization as they allow to model many real-world problems that face diminishing returns.
no code implementations • 20 Jan 2023 • Hao Wang, Hao Bao, Liekang Zeng, Ke Luo, Xu Chen
To identify dense and small-size pedestrians in surveillance systems, high-resolution cameras are widely deployed, where high-resolution images are captured and delivered to off-the-shelf pedestrian detection models.
no code implementations • 10 Jan 2023 • Hao Wang
Matrix factorization-based recommender system is in effect an angle preserving dimensionality reduction technique.
no code implementations • 3 Jan 2023 • Sirui Zhao, Huaying Tang, Xinglong Mao, Shifeng Liu, Hanqing Tao, Hao Wang, Tong Xu, Enhong Chen
To solve the problem of ME data hunger, we construct a dynamic spontaneous ME dataset with the largest current ME data scale, called DFME (Dynamic Facial Micro-expressions), which includes 7, 526 well-labeled ME videos induced by 671 participants and annotated by more than 20 annotators throughout three years.
no code implementations • 27 Dec 2022 • Jinhao Li, Changlong Wang, Hao Wang
Simulations also show that using curtailed wind generation as a power source for charging the BESS can lead to additional financial gains.
1 code implementation • 15 Dec 2022 • Xiyuan Zhang, Xiaoyong Jin, Karthick Gopalswamy, Gaurav Gupta, Youngsuk Park, Xingjian Shi, Hao Wang, Danielle C. Maddix, Yuyang Wang
Transformer-based models have gained large popularity and demonstrated promising results in long-term time-series forecasting in recent years.
no code implementations • 13 Dec 2022 • Muhammad Anwar, Changlong Wang, Frits de Nijs, Hao Wang
Driven by the global decarbonization effort, the rapid integration of renewable energy into the conventional electricity grid presents new challenges and opportunities for the battery energy storage system (BESS) participating in the energy market.
no code implementations • 13 Dec 2022 • Zhuo Wei, Frits de Nijs, Jinhao Li, Hao Wang
This paper investigates reinforcement learning, which gradually optimizes a fair PV curtailment strategy by interacting with the system.
1 code implementation • 12 Dec 2022 • Chengzhi Mao, Lingyu Zhang, Abhishek Joshi, Junfeng Yang, Hao Wang, Carl Vondrick
In this paper, we introduce a framework that uses the dense intrinsic constraints in natural images to robustify inference.
no code implementations • 7 Dec 2022 • Bo Liu, Rongmei Yang, Hao Wang, Linyuan Lü
This study reports for the first time a complete cavity map of C. elegans neural network, developing a new method for mining higher-order structures that can be applied by researchers in neuroscience, network science and other interdisciplinary fields to explore higher-order structural markers of complex systems.
no code implementations • 6 Dec 2022 • Hao Wang
Matrix Factorization is one of the most successful recommender system techniques over the past decade.
no code implementations • 6 Dec 2022 • Hao Wang
Famous algorithms such as Bayesian Personalized Ranking and Collaborative Less is More Filtering have left deep impact in both academia and industry.
no code implementations • 2 Dec 2022 • Hao Wang, Lixue Liu, Xueguan Song, Chao Zhang, DaCheng Tao
In tunnel boring machine (TBM) underground projects, an accurate description of the rock-soil types distributed in the tunnel can decrease the construction risk ({\it e. g.} surface settlement and landslide) and improve the efficiency of construction.
2 code implementations • 2 Dec 2022 • Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan
A key challenge in federated learning (FL) is the statistical heterogeneity that impairs the generalization of the global model on each client.
1 code implementation • 22 Nov 2022 • Jaime Spencer, C. Stella Qian, Chris Russell, Simon Hadfield, Erich Graf, Wendy Adams, Andrew J. Schofield, James Elder, Richard Bowden, Heng Cong, Stefano Mattoccia, Matteo Poggi, Zeeshan Khan Suri, Yang Tang, Fabio Tosi, Hao Wang, Youmin Zhang, Yusheng Zhang, Chaoqiang Zhao
This challenge evaluated the progress of self-supervised monocular depth estimation on the challenging SYNS-Patches dataset.
1 code implementation • 8 Nov 2022 • André H. Deutz, Michael T. M. Emmerich, Hao Wang
Also, for the general $m$-dimensional case, a compact recursive analytical expression is established, and its algorithmic implementation is discussed.
no code implementations • 7 Nov 2022 • Hao Wang, Xiwen Chen, Abolfazl Razi, Rahul Amin
The proposed algorithm is applicable to a variety of tree-structured image matching, but our focus is on dendrites, recently-developed visual identifiers.
1 code implementation • 22 Oct 2022 • Hao Wang, Yixin Cao, Yangguang Li, Zhen Huang, Kun Wang, Jing Shao
Document-level natural language inference (DOCNLI) is a new challenging task in natural language processing, aiming at judging the entailment relationship between a pair of hypothesis and premise documents.
no code implementations • 20 Oct 2022 • Wei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang
It removes a user's contribution by rolling back and calibrating the historical parameter updates and then uses these updates to speed up federated recommender reconstruction.
no code implementations • 20 Oct 2022 • Hao Wang, Zhichao Chen, Jiajun Fan, Yuxin Huang, Weiming Liu, Xinggao Liu
As a basic research problem for building effective recommender systems, post-click conversion rate (CVR) estimation has long been plagued by sample selection bias and data sparsity issues.
no code implementations • 10 Oct 2022 • Yunhe Gao, Xingjian Shi, Yi Zhu, Hao Wang, Zhiqiang Tang, Xiong Zhou, Mu Li, Dimitris N. Metaxas
First, DePT plugs visual prompts into the vision Transformer and only tunes these source-initialized prompts during adaptation.
Ranked #2 on
Domain Adaptation
on VisDA2017
no code implementations • 7 Oct 2022 • Hao Wang, WanYu Lin, Hao He, Di Wang, Chengzhi Mao, Muhan Zhang
Recent years have seen advances on principles and guidance relating to accountable and ethical use of artificial intelligence (AI) spring up around the globe.
1 code implementation • 2 Oct 2022 • Hao Wang, Guosheng Lin, Ana García del Molino, Anran Wang, Jiashi Feng, Zhiqi Shen
In this paper we present a novel multi-attribute face manipulation method based on textual descriptions.
1 code implementation • 27 Sep 2022 • Hao Zhang, Hao Wang, Zhen Kan
Automaton based approaches have enabled robots to perform various complex tasks.
no code implementations • 21 Sep 2022 • Dongwei Zhao, Hao Wang, Jianwei Huang, Xiaojun Lin
A proper insurance design needs to resolve the following two challenges: (i) users' reliability preference is private information; and (ii) the insurance design is tightly coupled with the renewable energy investment decision.
no code implementations • 16 Sep 2022 • Zhanchao Huang, Wei Li, Xiang-Gen Xia, Hao Wang, Feiran Jie, Ran Tao
Specifically, a channel separation-aggregation (CSA) structure is designed to simplify the complexity of stacked separable convolutions, and a dynamic receptive field (DRF) mechanism is developed to maintain high accuracy by customizing the convolution kernel and its perception range dynamically when reducing the network complexity.
no code implementations • 16 Sep 2022 • Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chee-Kong Lee, Enhong Chen
One famous privacy attack against data analysis models is the model inversion attack, which aims to infer sensitive data in the training dataset and leads to great privacy concerns.
1 code implementation • 7 Sep 2022 • Hao Wang, Zhanchao Huang, Zhengchao Chen, Ying Song, Wei Li
The existing AOOD methods face the challenges of ambiguity and high costs in angle representation.
1 code implementation • 7 Sep 2022 • Jiaxing Zhang, Ruyi Gan, Junjie Wang, Yuxiang Zhang, Lin Zhang, Ping Yang, Xinyu Gao, Ziwei Wu, Xiaoqun Dong, Junqing He, Jianheng Zhuo, Qi Yang, Yongfeng Huang, Xiayu Li, Yanghan Wu, Junyu Lu, Xinyu Zhu, Weifeng Chen, Ting Han, Kunhao Pan, Rui Wang, Hao Wang, XiaoJun Wu, Zhongshen Zeng, Chongpei Chen
We hope that this project will be the foundation of Chinese cognitive intelligence.
no code implementations • 6 Sep 2022 • Xu Zheng, Yunhao Luo, Hao Wang, Chong Fu, Lin Wang
To this end, we propose class-aware feature consistency distillation (CFCD) that first leverages the outputs of each student as the pseudo labels and generates class-aware feature (CF) maps.
1 code implementation • 6 Sep 2022 • Zhanchao Huang, Wei Li, Xiang-Gen Xia, Hao Wang, Ran Tao
However, the inconsistent features for the localization and classification tasks in AOOD models may lead to ambiguity and low-quality object predictions, which constrains the detection performance.
no code implementations • 5 Sep 2022 • Hao Wang, Hanwen Shi, Jianyong Duan
In practice, however, the lack of high-quality labeled data of new event classes makes it difficult to obtain enough data for model training.
1 code implementation • COLING 2022 • Hao Wang, Yangguang Li, Zhen Huang, Yong Dou
Then we integrate the multi-view contextual information to encode the evidence sentences to handle the task.
no code implementations • 17 Aug 2022 • Jiankun Zhang, Hao Wang, Jing Qian, Zhenxing Gao
Soft demodulation of received symbols into bit log-likelihood ratios (LLRs) is at the very heart of multiple-input-multiple-output (MIMO) detection.
no code implementations • 16 Aug 2022 • Jiankun Zhang, Hao Wang
The fifth-generation (5G) wireless communication is useful for positioning due to its large bandwidth and low cost.
no code implementations • 15 Aug 2022 • Liang Li, Chenpei Huang, Dian Shi, Hao Wang, Xiangwei Zhou, Minglei Shu, Miao Pan
Guided by FL convergence analysis, we formulate a joint transmission probability and local computing control optimization, aiming to minimize the overall energy consumption (i. e., iterative local computing + multi-round communications) of mobile devices in FL.
no code implementations • 8 Aug 2022 • Heng Cong, Lingzhi Fu, Rongyu Zhang, Yusheng Zhang, Hao Wang, Jiarong He, Jin Gao
In this work, we introduce Gradient Siamese Network (GSN) for image quality assessment.
no code implementations • 2 Aug 2022 • Tiange Li, Xiangyu Yang, Hao Wang
In this paper, we develop a simple yet effective screening rule strategy to improve the computational efficiency in solving structured optimization involving nonconvex $\ell_{q, p}$ regularization.
no code implementations • 29 Jul 2022 • Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao
When we do online paired data augmentation, we first generate augmented text through random token replacement, then pass the augmented text into the latent space alignment module to output the latent codes, which are finally fed to StyleGAN2 to generate the augmented images.
no code implementations • 29 Jul 2022 • Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao
To this end, we discover the semantic meanings of StyleGAN latent space, such that we are able to produce face images of various expressions, poses, and lighting by controlling the latent codes.
no code implementations • 14 Jul 2022 • Zhongren Chen, Xinyue Xu, Shengyi Jiang, Hao Wang, Lu Mi
Small subgraphs (graphlets) are important features to describe fundamental units of a large network.
1 code implementation • 12 Jul 2022 • Zhihan Gao, Xingjian Shi, Hao Wang, Yi Zhu, Yuyang Wang, Mu Li, Dit-yan Yeung
With the explosive growth of the spatiotemporal Earth observation data in the past decade, data-driven models that apply Deep Learning (DL) are demonstrating impressive potential for various Earth system forecasting tasks.
Ranked #1 on
Earth Surface Forecasting
on EarthNet2021 OOD Track
no code implementations • 2 Jul 2022 • Hao Wang, Bin Guo, Yating Zeng, Yasan Ding, Chen Qiu, Ying Zhang, Lina Yao, Zhiwen Yu
The intelligent dialogue system, aiming at communicating with humans harmoniously with natural language, is brilliant for promoting the advancement of human-machine interaction in the era of artificial intelligence.
1 code implementation • 20 Jun 2022 • Shiwei Wu, Weidong He, Tong Xu, Hao Wang, Enhong Chen
Affordance-centric Question-driven Task Completion for Egocentric Assistant(AQTC) is a novel task which helps AI assistant learn from instructional videos and scripts and guide the user step-by-step.
no code implementations • ICCV 2023 • Ruoshi Liu, Chengzhi Mao, Purva Tendulkar, Hao Wang, Carl Vondrick
Many machine learning methods operate by inverting a neural network at inference time, which has become a popular technique for solving inverse problems in computer vision, robotics, and graphics.
1 code implementation • 15 Jun 2022 • Wael Alghamdi, Hsiang Hsu, Haewon Jeong, Hao Wang, P. Winston Michalak, Shahab Asoodeh, Flavio P. Calmon
We consider the problem of producing fair probabilistic classifiers for multi-class classification tasks.
no code implementations • 31 May 2022 • Hao Wang
Cold-start and sparsity problem are two key intrinsic problems to recommender systems.
no code implementations • 25 May 2022 • Xiwen Chen, Hao Wang, Abolfazl Razi, Michael Kozicki, Christopher Mann
Digital holography is a 3D imaging technique by emitting a laser beam with a plane wavefront to an object and measuring the intensity of the diffracted waveform, called holograms.
no code implementations • 21 May 2022 • Hao Wang
Regularization is a popular technique to solve the overfitting problem of machine learning algorithms.
no code implementations • 11 May 2022 • Hao Wang, Kaifeng Yang, Michael Affenzeller, Michael Emmerich
This work provides the exact expression of the probability distribution of the hypervolume improvement (HVI) for bi-objective generalization of Bayesian optimization.
1 code implementation • 29 Apr 2022 • Wenge Liu, Yi Cheng, Hao Wang, Jianheng Tang, Yafei Liu, Ruihui Zhao, Wenjie Li, Yefeng Zheng, Xiaodan Liang
In this paper, we explore how to bring interpretability to data-driven DSMD.
no code implementations • 28 Apr 2022 • Kirill Antonov, Elena Raponi, Hao Wang, Carola Doerr
Bayesian Optimization (BO) is a surrogate-based global optimization strategy that relies on a Gaussian Process regression (GPR) model to approximate the objective function and an acquisition function to suggest candidate points.
no code implementations • 27 Apr 2022 • Hao Wang
Recommender system has intrinsic problems such as sparsity and fairness.
no code implementations • 27 Apr 2022 • Hao Wang
In this paper, we take advantage of the MatMat framework, which factorizes matrices by matrix fitting to build a context-aware movie recommender system that is superior to classic matrix factorization and comparable in the fairness metric.
no code implementations • 27 Apr 2022 • Hao Wang
Matrix Factorization is a widely adopted technique in the field of recommender system.
no code implementations • 27 Apr 2022 • Hao Wang
However, the initial formulation of GloVe is not theoretically sound in two aspects, namely the selection of the weighting function and its power exponent is ad-hoc.
1 code implementation • CVPR 2022 • Chengzhi Mao, Kevin Xia, James Wang, Hao Wang, Junfeng Yang, Elias Bareinboim, Carl Vondrick
Visual representations underlie object recognition tasks, but they often contain both robust and non-robust features.
1 code implementation • 26 Apr 2022 • Jiawei Zhang, Jinwei Wang, Hao Wang, Xiangyang Luo
The destruction to DNNs brought by the adversarial attack sparks the potential that adversarial examples serve as a new protection mechanism for privacy security in social networks.
no code implementations • 20 Apr 2022 • Diederick Vermetten, Hao Wang, Manuel López-Ibañez, Carola Doerr, Thomas Bäck
Particularly, we show that the number of runs used in many benchmarking studies, e. g., the default value of 15 suggested by the COCO environment, can be insufficient to reliably rank algorithms on well-known numerical optimization benchmarks.
no code implementations • 20 Apr 2022 • Ana Kostovska, Anja Jankovic, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, Carola Doerr
In contrast to other recent work on online per-run algorithm selection, we warm-start the second optimizer using information accumulated during the first optimization phase.
no code implementations • 18 Apr 2022 • Likang Wu, Hao Wang, Enhong Chen, Zhi Li, Hongke Zhao, Jianhui Ma
To that end, we propose a novel framework to promote cascade size prediction by enhancing the user preference modeling according to three stages, i. e., preference topics generation, preference shift modeling, and social influence activation.
no code implementations • 13 Apr 2022 • Xinyu Gao, Wenqiang Yi, Alexandros Agapitos, Hao Wang, Yuanwei Liu
Coverage and capacity are the important metrics for performance evaluation in wireless networks, while the coverage and capacity have several conflicting relationships, e. g. high transmit power contributes to large coverage but high inter-cell interference reduces the capacity performance.
no code implementations • 13 Apr 2022 • Dominik Schröder, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
In this work, we build on the recent study of Vermetten et al. [GECCO 2020], who presented a data-driven approach to investigate promising switches between pairs of algorithms for numerical black-box optimization.
6 code implementations • 10 Apr 2022 • Chinedu Innocent Nwoye, Deepak Alapatt, Tong Yu, Armine Vardazaryan, Fangfang Xia, Zixuan Zhao, Tong Xia, Fucang Jia, Yuxuan Yang, Hao Wang, Derong Yu, Guoyan Zheng, Xiaotian Duan, Neil Getty, Ricardo Sanchez-Matilla, Maria Robu, Li Zhang, Huabin Chen, Jiacheng Wang, Liansheng Wang, Bokai Zhang, Beerend Gerats, Sista Raviteja, Rachana Sathish, Rong Tao, Satoshi Kondo, Winnie Pang, Hongliang Ren, Julian Ronald Abbing, Mohammad Hasan Sarhan, Sebastian Bodenstedt, Nithya Bhasker, Bruno Oliveira, Helena R. Torres, Li Ling, Finn Gaida, Tobias Czempiel, João L. Vilaça, Pedro Morais, Jaime Fonseca, Ruby Mae Egging, Inge Nicole Wijma, Chen Qian, GuiBin Bian, Zhen Li, Velmurugan Balasubramanian, Debdoot Sheet, Imanol Luengo, Yuanbo Zhu, Shuai Ding, Jakob-Anton Aschenbrenner, Nicolas Elini van der Kar, Mengya Xu, Mobarakol Islam, Lalithkumar Seenivasan, Alexander Jenke, Danail Stoyanov, Didier Mutter, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Nicolas Padoy
In this paper, we present the challenge setup and assessment of the state-of-the-art deep learning methods proposed by the participants during the challenge.
Ranked #1 on
Action Triplet Recognition
on CholecT50 (Challenge)
(using extra training data)
no code implementations • 9 Apr 2022 • Xiangyu Zhu, Chang Yu, Di Huang, Zhen Lei, Hao Wang, Stan Z. Li
3D Morphable Model (3DMM) fitting has widely benefited face analysis due to its strong 3D priori.
1 code implementation • 3 Apr 2022 • Hao Wang, Tai-Wei Chang, Tianqiao Liu, Jianmin Huang, Zhichao Chen, Chao Yu, Ruopeng Li, Wei Chu
In this paper, we theoretically demonstrate that ESMM suffers from the following two problems: (1) Inherent Estimation Bias (IEB), where the estimated CVR of ESMM is inherently higher than the ground truth; (2) Potential Independence Priority (PIP) for CTCVR estimation, where there is a risk that the ESMM overlooks the causality from click to conversion.
1 code implementation • CVPR 2022 • Zihua Zheng, Ni Nie, Zhi Ling, Pengfei Xiong, Jiangyu Liu, Hao Wang, Jiankun Li
Recently, the dense correlation volume method achieves state-of-the-art performance in optical flow.
1 code implementation • CVPR 2022 • WanYu Lin, Hao Lan, Hao Wang, Baochun Li
This paper proposes a new eXplanation framework, called OrphicX, for generating causal explanations for any graph neural networks (GNNs) based on learned latent causal factors.
1 code implementation • CVPR 2022 • Hao Wang, Junchao Liao, Tianheng Cheng, Zewen Gao, Hao liu, Bo Ren, Xiang Bai, Wenyu Liu
Recently, the semantics of scene text has been proven to be essential in fine-grained image classification.
1 code implementation • 17 Mar 2022 • Yuzhe Yang, Hao Wang, Dina Katabi
We first develop the domain-class transferability graph, and show that such transferability governs the success of learning in MDLT.
no code implementations • 7 Mar 2022 • Abolfazl Razi, Xiwen Chen, Huayu Li, Hao Wang, Brendan Russo, Yan Chen, Hongbin Yu
This paper explores Deep Learning (DL) methods that are used or have the potential to be used for traffic video analysis, emphasizing driving safety for both Autonomous Vehicles (AVs) and human-operated vehicles.
no code implementations • 6 Mar 2022 • Hao He, Yuzhe Yang, Hao Wang
In this paper, we propose a new assumption, Factorizable Joint Shift (FJS), to handle the co-existence of sampling bias in covariates and labels.
no code implementations • 1 Mar 2022 • Jian Jin, Dong Yu, Weisi Lin, Lili Meng, Hao Wang, Huaxiang Zhang
Besides, the JND of the red and blue channels are larger than that of the green one according to the experimental results of the proposed model, which demonstrates that more changes can be tolerated in the red and blue channels, in line with the well-known fact that the human visual system is more sensitive to the green channel in comparison with the red and blue ones.
1 code implementation • 1 Mar 2022 • Jinlai Zhang, Weiming Li, Shuang Liang, Hao Wang, Jihong Zhu
We also introduce a new U6DA-Linemod dataset for robustness study of the 6D pose estimation task.