1 code implementation • CVPR 2022 • Wanquan Feng, Jin Li, Hongrui Cai, Xiaonan Luo, Juyong Zhang
Different from traditional point cloud representation where each point only represents a position or a local plane in the 3D space, each point in Neural Points represents a local continuous geometric shape via neural fields.
1 code implementation • 13 Oct 2023 • Dongsheng Jiang, Yuchen Liu, Songlin Liu, Jin'e Zhao, Hao Zhang, Zhen Gao, Xiaopeng Zhang, Jin Li, Hongkai Xiong
By simply equipping it with an MLP layer for alignment, DINO surpasses CLIP in fine-grained related perception tasks.
1 code implementation • 23 May 2023 • Jiacheng Li, Ming Wang, Jin Li, Jinmiao Fu, Xin Shen, Jingbo Shang, Julian McAuley
In this paper, we propose to model user preferences and item features as language representations that can be generalized to new items and datasets.
1 code implementation • 24 Nov 2019 • Fu-Zhao Ou, Yuan-Gen Wang, Jin Li, Guopu Zhu, Sam Kwong
First, to extend the authentically distorted image dataset, we present an imaging-heuristic approach, in which the over-underexposure is formulated as an inverse of Weber-Fechner law, and fusion strategy and probabilistic compression are adopted, to generate the degraded real-world images.
6 code implementations • 28 Dec 2020 • Kai Hong, Jin Li, Wanyun Li, Cailian Yang, Minghui Zhang, Yuhao Wang, Qiegen Liu
Furthermore, the joint intensity-gradient constraint in data-fidelity term is proposed to limit the degree of freedom within generative model at the iterative colorization stage, and it is conducive to edge-preserving.
4 code implementations • 9 Jul 2021 • Jin Li, Wanyun Li, Zichen Xu, Yuhao Wang, Qiegen Liu
Unsupervised deep learning has recently demonstrated the promise of producing high-quality samples.
1 code implementation • 22 Dec 2021 • Jin Li, Benjamin J. Cairns, Jingsong Li, Tingting Zhu
Synthetic data, which benefits from the development and proliferation of generative models, has served as a promising substitute for real patient EHR data.
1 code implementation • Conference 2022 • Jin Li, Zhong Ji, Gang Wang, Qiang Wang, Feng Gao
The goal of General Continual Learning (GCL) is to preserve learned knowledge and learn new knowledge with constant memory from an infinite data stream where task boundaries are blurry.
1 code implementation • 21 Feb 2022 • Xingye Chen, Yiqi Wu, Wenjie Xu, Jin Li, Huaiyi Dong, Yilin Chen
This paper proposes a point cloud feature extraction network named PointSCNet, to capture the geometrical structure information and local region correlation information of a point cloud.
Ranked #39 on 3D Point Cloud Classification on ModelNet40
1 code implementation • 2 Aug 2019 • Jin Li
The recurrent geometric network (RGN), the first end-to-end differentiable neural architecture for protein structure prediction, is a competitive alternative to existing models.
1 code implementation • 21 Apr 2021 • Tingtian Li, Zixun Sun, Haoruo Zhang, Jin Li, Ziming Wu, Hui Zhan, Yipeng Yu, Hengcan Shi
In this paper, we also investigate the widely added voice-overs in short videos and propose a novel framework to retrieve BGM for fine-grained short videos.
1 code implementation • NeurIPS 2023 • Jin Li, Yaoming Wang, Xiaopeng Zhang, Bowen Shi, Dongsheng Jiang, Chenglin Li, Wenrui Dai, Hongkai Xiong, Qi Tian
Specifically, at the intermediate layer of the ViT, we utilize a spatial-aware density-based clustering algorithm to select representative tokens from the token sequence.
1 code implementation • 3 Sep 2021 • Zhong Ji, Jin Li, Qiang Wang, Zhongfei Zhang
Furthermore, we explore a collaborative self-supervision idea to leverage pretext tasks and supervised contrastive learning for addressing the feature deviation problem by learning complete and discriminative features for all classes.
1 code implementation • journal 2020 • Weixuan Tang, Bin Li, Mauro Barni, Jin Li, Jiwu Huang
In SPAR-RL, an agent utilizes a policy network which decomposes the embedding process into pixel-wise actions and aims at maximizing the total rewards from a simulated steganalytic environment, while the environment employs an environment network for pixel-wise reward assignment.
1 code implementation • 7 Oct 2021 • Jin Li, Haibin Liu, Nan Yan, Lan Wang
Symbolic melodies generation is one of the essential tasks for automatic music generation.
1 code implementation • CVPR 2023 • Yaoming Wang, Bowen Shi, Xiaopeng Zhang, Jin Li, Yuchen Liu, Wenrui Dai, Chenglin Li, Hongkai Xiong, Qi Tian
To mitigate the computational and storage demands, recent research has explored Parameter-Efficient Fine-Tuning (PEFT), which focuses on tuning a minimal number of parameters for efficient adaptation.
1 code implementation • 19 Aug 2021 • Jin Li, Nan Yan, Lan Wang
However, cross-lingual SER remains a challenge in real-world applications due to a great difference between the source and target domain distributions.
no code implementations • 19 Mar 2017 • Jiang Lu, Jin Li, Ziang Yan, Chang-Shui Zhang
Given the dataset of seen classes and side information of unseen classes (e. g. attributes), we synthesize feature-level pseudo representations for novel concepts, which allows us access to the formulation of unseen class predictor.
no code implementations • 28 Feb 2017 • Ziang Yan, Jian Liang, Weishen Pan, Jin Li, Chang-Shui Zhang
Object detection when provided image-level labels instead of instance-level labels (i. e., bounding boxes) during training is an important problem in computer vision, since large scale image datasets with instance-level labels are extremely costly to obtain.
no code implementations • 28 Aug 2013 • Zhihua Zhang, Jin Li
In this paper we discuss Bayesian nonconvex penalization for sparse learning problems.
no code implementations • 16 Oct 2018 • Guofu Li, Pengjia Zhu, Jin Li, Zhemin Yang, Ning Cao, Zhiyi Chen
Adversarial machine learning is a fast growing research area, which considers the scenarios when machine learning systems may face potential adversarial attackers, who intentionally synthesize input data to make a well-trained model to make mistake.
no code implementations • 8 Sep 2018 • Hanbo Zhang, Xinwen Zhou, Xuguang Lan, Jin Li, Zhiqiang Tian, Nanning Zheng
The main component of our approach is a grasp detection network with oriented anchor boxes as detection priors.
Robotics
no code implementations • 6 Nov 2018 • Kin Gutierrez, Jin Li, Cristian Challu, Artur Dubrawski
We observe that the benefits of~\textsc{DASGrad} increase with the model complexity and variability of the gradients, and we explore the resulting utility in extensions of distribution-matching multitask learning.
no code implementations • CVPR 2019 • Jin Li, Xuguang Lan, Yang Liu, Le Wang, Nanning Zheng
Based on this intuition, a Product Quantization Zero-Shot Learning (PQZSL) method is proposed to learn embeddings as well as quantizers to compress visual features into compact codes for Approximate NN (ANN) search.
no code implementations • 13 Feb 2020 • Pei-Gen Ye, Yuan-Gen Wang, Jin Li, Liang Xiao
This letter presents a fast reinforcement learning algorithm for anti-jamming communications which chooses previous action with probability $\tau$ and applies $\epsilon$-greedy with probability $(1-\tau)$.
no code implementations • 9 May 2020 • Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai
Bipartite b-matching is fundamental in algorithm design, and has been widely applied into economic markets, labor markets, etc.
no code implementations • 20 Aug 2020 • Liyi Guo, Rui Lu, Haoqi Zhang, Junqi Jin, Zhenzhe Zheng, Fan Wu, Jin Li, Haiyang Xu, Han Li, Wenkai Lu, Jian Xu, Kun Gai
For e-commerce platforms such as Taobao and Amazon, advertisers play an important role in the entire digital ecosystem: their behaviors explicitly influence users' browsing and shopping experience; more importantly, advertiser's expenditure on advertising constitutes a primary source of platform revenue.
no code implementations • 16 Feb 2021 • Mengzhi Wu, Qian Liu, Ping Li, Shi Chen, Binlong Wang, Wenhan Shen, Shiping Chen, Yangheng Zheng, Yigang Xie, Jin Li
The IBF and the transparent rate of electrons are two essential indicators of TPC, which affect the energy resolution and counting rate respectively.
Instrumentation and Detectors High Energy Physics - Experiment
no code implementations • 18 Feb 2021 • Jin Li, Jie Liu, Shangzhou Li, Yao Xu, Ran Cao, Qi Li, Biye Jiang, Guan Wang, Han Zhu, Kun Gai, Xiaoqiang Zhu
When receiving a user request, matching system (i) finds the crowds that the user belongs to; (ii) retrieves all ads that have targeted those crowds.
no code implementations • 6 Mar 2021 • Jin Li, Ye Luo, Xiaowei Zhang
In the standard data analysis framework, data is first collected (once for all), and then data analysis is carried out.
no code implementations • 26 Nov 2020 • Yan Zhou, Jin Li, Nieke Wei
The reversed and shift (RAS) sparse array scheme, which is based on the difference and sum co-array (DSCA) and remarkably enhances the capability of identifying sources, is proposed.
no code implementations • 9 May 2021 • Weixuan Tang, Bin Li, Mauro Barni, Jin Li, Jiwu Huang
To address the issue, in this paper we extend an existing automatic cost learning scheme to JPEG, where the proposed scheme called JEC-RL (JPEG Embedding Cost with Reinforcement Learning) is explicitly designed to tailor the JPEG DCT structure.
no code implementations • 18 Aug 2021 • Jin Li, Rongfeng Su, Xurong Xie, Nan Yan, Lan Wang
The shallow stream is used to acquire traditional shallow features that is beneficial for the classification of phones or words while the deep stream is used to obtain utterance-level speaker-invariant deep features for improving the feature diversity.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
1 code implementation • 18 Aug 2021 • Jin Li, Nan Yan, Lan Wang
For example, RawNet and RawNet2 extracted speaker's feature embeddings from waveforms automatically for recognizing their voice, which can vastly reduce the front-end computation and obtain state-of-the-art performance.
no code implementations • 28 Aug 2021 • Jin Li, Ye Luo, Xiaowei Zhang
This paper identifies and addresses dynamic selection problems in online learning algorithms with endogenous data.
no code implementations • 29 Sep 2021 • Jin Li, Yaoming Wang, Dongsheng Jiang, Xiaopeng Zhang, Wenrui Dai, Hongkai Xiong
To address this issue, we introduce the information bottleneck principle and propose the Self-supervised Variational Information Bottleneck (SVIB) learning framework.
no code implementations • 21 Oct 2021 • Jin Li, Xianyuan Zhan, Zixu Xiao, Guyue Zhou
End-to-end learning robotic manipulation with high data efficiency is one of the key challenges in robotics.
no code implementations • 25 Sep 2019 • Kin Gutierrez, Cristian Challu, Jin Li, Artur Dubrawski
Adaptive moment methods have been remarkably successful for optimization under the presence of high dimensional or sparse gradients, in parallel to this, adaptive sampling probabilities for SGD have allowed optimizers to improve convergence rates by prioritizing examples to learn efficiently.
no code implementations • 29 Jan 2022 • Fei Gao, Peng Geng, Jiaqi Guo, YuAn Liu, Dingfeng Guo, Yabo Su, Jie zhou, Xiao Wei, Jin Li, Xu Liu
We introduce ApolloRL, an open platform for research in reinforcement learning for autonomous driving.
no code implementations • 5 Feb 2022 • Li Zhou, Minhuan Huang, YuJun Li, Yuanping Nie, Jin Li, Yiwei Liu
GraphEye is originated from the observation that the code property graph of a non-vulnerable function naturally differs from the code property graph of a vulnerable function with the same functionality.
no code implementations • 11 Mar 2022 • Jin Hao, Jiaxiang Liu, Jin Li, Wei Pan, Ruizhe Chen, Huimin Xiong, Kaiwei Sun, Hangzheng Lin, Wanlu Liu, Wanghui Ding, Jianfei Yang, Haoji Hu, Yueling Zhang, Yang Feng, Zeyu Zhao, Huikai Wu, Youyi Zheng, Bing Fang, Zuozhu Liu, Zhihe Zhao
Here, we present a Deep Dental Multimodal Analysis (DDMA) framework consisting of a CBCT segmentation model, an intraoral scan (IOS) segmentation model (the most accurate digital dental model), and a fusion model to generate 3D fused crown-root-bone structures with high fidelity and accurate occlusal and dentition information.
no code implementations • 14 Mar 2022 • Ghadeer Ghosheh, Jin Li, Tingting Zhu
Electronic Health Records (EHRs) are a valuable asset to facilitate clinical research and point of care applications; however, many challenges such as data privacy concerns impede its optimal utilization.
no code implementations • 18 Mar 2022 • Trong Nghia Hoang, Anoop Deoras, Tong Zhao, Jin Li, George Karypis
We develop and investigate a personalizable deep metric model that captures both the internal contents of items and how they were interacted with by users.
no code implementations • 4 Apr 2022 • Jiacheng Li, Tong Zhao, Jin Li, Jim Chan, Christos Faloutsos, George Karypis, Soo-Min Pantel, Julian McAuley
We propose to model user dynamics from shopping intents and interacted items simultaneously.
no code implementations • 5 Apr 2022 • Yanyan Liu, Changcheng Pan, Minglin Bie, Jin Li
To address this issue, an efficient real-time target tracking method based on a low-dimension adaptive feature fusion is proposed to allow us the simultaneous implementation of the high-accuracy and real-time target tracking.
no code implementations • CVPR 2022 • Yun-Hao Yuan, Jin Li, Yun Li, Jipeng Qiang, Yi Zhu, Xiaobo Shen, Jianping Gou
With this framework as a tool, we propose a correlative covariation projection (CCP) method by using an explicit nonlinear mapping.
no code implementations • CVPR 2022 • Yaoming Wang, Yangzhou Jiang, Jin Li, Bingbing Ni, Wenrui Dai, Chenglin Li, Hongkai Xiong, Teng Li
Appearance-based Gaze Estimation leverages deep neural networks to regress the gaze direction from monocular images and achieve impressive performance.
no code implementations • 20 Jun 2022 • Yuchen Jiang, Qi Li, Han Zhu, Jinbei Yu, Jin Li, Ziru Xu, Huihui Dong, Bo Zheng
Industrial recommender systems usually hold data from multiple business scenarios and are expected to provide recommendation services for these scenarios simultaneously.
no code implementations • 8 Nov 2022 • Jin Li, Nan Liu
A closed-form solution with low complexity and a solution based on the semidefinite relaxation (SDR) method are provided to solve these two problems, respectively.
no code implementations • 14 Nov 2022 • Jin Li, Deepta Rajan, Chintan Shah, Dinkar Juyal, Shreya Chakraborty, Chandan Akiti, Filip Kos, Janani Iyer, Anand Sampat, Ali Behrooz
Histopathology images are gigapixel-sized and include features and information at different resolutions.
no code implementations • 15 Nov 2022 • Jin Li, Gui Zhou, Tantao Gong, Nan Liu
For the case of a single communication user, we consider three types of echo interference, no interference, a point interference, and an extended interference.
no code implementations • 22 Nov 2022 • Song Li, Jiandong Zhou, Chong Mo, Jin Li, Geoffrey K. F. Tso, Yuxing Tian
Whereas in this study, we consider the evolving nature of cryptocurrency networks, and use local structural as well as the balance theory to guide the training process.
no code implementations • 17 Apr 2023 • Li Zhu, Jiawei Jiang, Lin Lu, Jin Li
In response to this problem, we introduce the Coordinate Attention (CA) module to replace the Res Block to reduce the number of parameters, and cooperate with the spatial information extraction network above to strengthen the information extraction ability.
no code implementations • IEEE Transactions on Knowledge and Data Engineering 2020 • Xiaofeng Chen, Hui Li, Jin Li, Qian Wang, Xinyi Huang, Willy Susilo, and Yang Xiang
As a result, it remains an open problem how to construct an efficient (and publicly verifiable) VDB scheme that can support all updating operations regardless of the manner of insertion.
no code implementations • 9 May 2023 • Xin Shen, Jiaying Shi, Sungro Yoon, Jon Katzur, Hanbo Wang, Jim Chan, Jin Li
In this work, we introduce Amazon's new system that explicitly identifies and utilizes each customer's high level shopping intents for personalizing recommendations.
no code implementations • 15 May 2023 • Jin Li, Kleanthis Malialis, Marios M. Polycarpou
In our digital universe nowadays, enormous amount of data are produced in a streaming manner in a variety of application areas.
no code implementations • 7 Jun 2023 • Tan H. Nguyen, Dinkar Juyal, Jin Li, Aaditya Prakash, Shima Nofallah, Chintan Shah, Sai Chowdary Gullapally, Limin Yu, Michael Griffin, Anand Sampat, John Abel, Justin Lee, Amaro Taylor-Weiner
Secondly, dependency on domain labels prevents the use of pathology images without domain labels to improve model performance.
no code implementations • 25 Jun 2023 • Yuchen Zhuang, Xin Shen, Yan Zhao, Chaosheng Dong, Ming Wang, Jin Li, Chao Zhang
The detection of the underlying shopping intentions of users based on their historical interactions is a crucial aspect for e-commerce platforms, such as Amazon, to enhance the convenience and efficiency of their customers' shopping experiences.
no code implementations • 28 Jun 2023 • Bowen Shi, Xiaopeng Zhang, Yaoming Wang, Jin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, Qi Tian
In order to better obtain both discrimination and diversity, we propose a simple but effective Hybrid Distillation strategy, which utilizes both the supervised/CL teacher and the MIM teacher to jointly guide the student model.
1 code implementation • 13 Dec 2023 • Jin Li, Qirong Zhang, Shuling Xu, Xinlong Chen, Longkun Guo, Yang-Geng Fu
Despite Graph neural networks' significant performance gain over many classic techniques in various graph-related downstream tasks, their successes are restricted in shallow models due to over-smoothness and the difficulties of optimizations among many other issues.
no code implementations • 25 Dec 2023 • Huali Ren, Anli Yan, Xiaojun Ren, Pei-Gen Ye, Chong-zhi Gao, Zhili Zhou, Jin Li
To address these issues, we propose a network fingerprinting approach, named as GanFinger, to construct the network fingerprints based on the network behavior, which is characterized by network outputs of pairs of original examples and conferrable adversarial examples.
1 code implementation • 9 Jan 2024 • Ghadeer O. Ghosheh, Jin Li, Tingting Zhu
In IGNITE, we further propose a novel individualized missingness mask (IMM), which helps our model generate values based on the individual's observed data and missingness patterns.
no code implementations • 12 Jan 2024 • Bowen Shi, Peisen Zhao, Zichen Wang, Yuhang Zhang, Yaoming Wang, Jin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, Qi Tian, Xiaopeng Zhang
Vision-language foundation models, represented by Contrastive language-image pre-training (CLIP), have gained increasing attention for jointly understanding both vision and textual tasks.
no code implementations • 13 Feb 2024 • Jin Li, Shoujin Wang, Qi Zhang, Longbing Cao, Fang Chen, Xiuzhen Zhang, Dietmar Jannach, Charu C. Aggarwal
However, emerging vulnerabilities in RS have catalyzed a paradigm shift towards Trustworthy RS (TRS).
no code implementations • 24 Feb 2024 • Ghadeer O. Ghosheh, Jin Li, Tingting Zhu
The lack of focus on missingness representation in an individualized way limits the full utilization of machine learning applications towards true personalization.
no code implementations • 12 Mar 2024 • Xuhua Ren, Hengcan Shi, Jin Li
In this paper, we propose a novel open-vocabulary text recognition framework, Pseudo-OCR, to recognize OOV words.
no code implementations • 3 Apr 2024 • Kleanthis Malialis, Jin Li, Christos G. Panayiotou, Marios M. Polycarpou
Data stream mining aims at extracting meaningful knowledge from continually evolving data streams, addressing the challenges posed by nonstationary environments, particularly, concept drift which refers to a change in the underlying data distribution over time.
no code implementations • 2 Apr 2024 • Ruqi Liao, Chuqing Zhao, Jin Li, Weiqi Feng
In response to the rising interest in large multimodal models, we introduce Cross-Attention Token Pruning (CATP), a precision-focused token pruning method.