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no code implementations • CCL 2021 • Wei Hu, Maoxi Li, Bailian Qiu, Mingwen Wang

“机器译文自动评价对机器翻译的发展和应用起着重要的促进作用, 它一般通过计算机器译文和人工参考译文的相似度来度量机器译文的质量。该文通过跨语种预训练语言模型XLM将源语言句子、机器译文和人工参考译文映射到相同的语义空间, 结合分层注意力和内部注意力提取源语言句子与机器译文、机器译文与人工参考译文以及源语言句子与人工参考译文之间差异特征, 并将其融入到基于Bi-LSTM神经译文自动评价方法中。在WMT’19译文自动评价数据集上的实验结果表明, 融合XLM词语表示的神经机器译文自动评价方法显著提高了其与人工评价的相关性。”

no code implementations • Findings (ACL) 2022 • Yao Zhao, Jiacheng Huang, Wei Hu, Qijin Chen, Xiaoxia Qiu, Chengfu Huo, Weijun Ren

In this paper, we propose an implicit RL method called ImRL, which links relation phrases in NL to relation paths in KG.

no code implementations • COLING 2022 • Daizong Liu, Wei Hu

Then, we develop a self-supervised coarse-to-fine paradigm to learn to locate the most query-relevant patch in each frame and aggregate them among the video for final grounding.

1 code implementation • 5 Jun 2023 • Zequn Sun, Jiacheng Huang, Jinghao Lin, Xiaozhou Xu, Qijin Chen, Wei Hu

We pre-train a large teacher KG embedding model over linked multi-source KGs and distill knowledge to train a student model for a task-specific KG.

1 code implementation • 5 Jun 2023 • Zequn Sun, Jiacheng Huang, Xiaozhou Xu, Qijin Chen, Weijun Ren, Wei Hu

In this paper, we provide a similarity flooding perspective to explain existing translation-based and aggregation-based EA models.

1 code implementation • 1 Jun 2023 • Can Yaras, Peng Wang, Wei Hu, Zhihui Zhu, Laura Balzano, Qing Qu

Second, it allows us to better understand deep representation learning by elucidating the linear progressive separation and concentration of representations from shallow to deep layers.

1 code implementation • 24 May 2023 • Jianhao Ma, Rui Ray Chen, Yinghui He, Salar Fattahi, Wei Hu

This paper presents a simple mean estimator that overcomes both challenges under moderate conditions: it runs in near-linear time and memory (both with respect to the ambient dimension) while requiring only $\tilde O(k)$ samples to recover the true mean.

1 code implementation • 11 May 2023 • Xinyi Wang, Zitao Wang, Wei Hu

Continual few-shot relation extraction (RE) aims to continuously train a model for new relations with few labeled training data, of which the major challenges are the catastrophic forgetting of old relations and the overfitting caused by data sparsity.

1 code implementation • 11 May 2023 • Wenzheng Zhao, Yuanning Cui, Wei Hu

To address this issue, we propose a novel continual extraction model for analogous relations.

1 code implementation • 24 Apr 2023 • QiHao Zhao, Yangyu Huang, Wei Hu, Fan Zhang, Jun Liu

TransMix uses unreliable attention maps to compute mixed attention labels that can affect the model.

1 code implementation • CVPR 2023 • Qianjiang Hu, Daizong Liu, Wei Hu

Recently, few works attempt to tackle the domain gap in objects, but still fail to adapt to the gap of varying beam-densities between two domains, which is critical to mitigate the characteristic differences of the LiDAR collectors.

1 code implementation • 10 Apr 2023 • Jiacheng Huang, Zequn Sun, Qijin Chen, Xiaozhou Xu, Weijun Ren, Wei Hu

With deep learning, it learns the embeddings of entities, relations and classes, and jointly aligns them in a semi-supervised manner.

no code implementations • 4 Feb 2023 • Xiangrong Zhu, Guangyao Li, Wei Hu

To cope with the drift between local optimization and global convergence caused by data heterogeneity, we propose mutual knowledge distillation to transfer local knowledge to global, and absorb global knowledge back.

no code implementations • 6 Jan 2023 • Haoyan Wei, C. T. Wu, Wei Hu, Tung-Huan Su, Hitoshi Oura, Masato Nishi, Tadashi Naito, Stan Chung, Leo Shen

In this work, we present a machine learning-based multiscale method by integrating injection molding-induced microstructures, material homogenization, and Deep Material Network (DMN) in the finite element simulation software LS-DYNA for structural analysis of SFRC.

no code implementations • 9 Dec 2022 • Yuxin Wang, Jieru Lin, Zhiwei Yu, Wei Hu, Börje F. Karlsson

Storytelling and narrative are fundamental to human experience, intertwined with our social and cultural engagement.

1 code implementation • 29 Nov 2022 • Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu

We consider knowledge transfer and retention of the learning on growing snapshots of a KG without having to learn embeddings from scratch.

no code implementations • 14 Nov 2022 • Xiang Gao, Wei Hu, Renjie Liao

The decoder takes the latent variable and the feature from the encoder as an input and predicts the per-point part distribution at the top level.

1 code implementation • 5 Nov 2022 • Xiaobin Tian, Zequn Sun, Guangyao Li, Wei Hu

Towards a critical evaluation of embedding-based entity alignment methods, we construct a new dataset with heterogeneous relations and attributes based on event-centric KGs.

1 code implementation • 19 Oct 2022 • Botao Yu, Peiling Lu, Rui Wang, Wei Hu, Xu Tan, Wei Ye, Shikun Zhang, Tao Qin, Tie-Yan Liu

A recent trend is to use Transformer or its variants in music generation, which is, however, suboptimal, because the full attention cannot efficiently model the typically long music sequences (e. g., over 10, 000 tokens), and the existing models have shortcomings in generating musical repetition structures.

no code implementations • 13 Oct 2022 • Spencer Frei, Gal Vardi, Peter L. Bartlett, Nathan Srebro, Wei Hu

In this work, we investigate the implicit bias of gradient flow and gradient descent in two-layer fully-connected neural networks with leaky ReLU activations when the training data are nearly-orthogonal, a common property of high-dimensional data.

1 code implementation • 23 Aug 2022 • Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, Jianfeng Qu, Xiaofang Zhou

Therefore, in this work, we propose a scalable GNN-based entity alignment approach to reduce the structure and alignment loss from three perspectives.

2 code implementations • 22 Aug 2022 • Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu

We propose a walk-based inductive reasoning model to tackle the new setting.

1 code implementation • 21 Aug 2022 • Yang Liu, Zequn Sun, Guangyao Li, Wei Hu

To this end, we propose CoLE, a Co-distillation Learning method for KG Embedding that exploits the complementarity of graph structures and text information.

no code implementations • 18 Aug 2022 • Gusi Te, Xiu Li, Xiao Li, Jinglu Wang, Wei Hu, Yan Lu

We present a novel paradigm of building an animatable 3D human representation from a monocular video input, such that it can be rendered in any unseen poses and views.

no code implementations • 27 Jul 2022 • Daizong Liu, Wei Hu

SLP consists of a Skimming-and-Locating (SL) module and a Bi-directional Perusing (BP) module.

no code implementations • 27 Jul 2022 • Daizong Liu, Wei Hu, Xin Li

Instead, we propose point cloud attacks from a new perspective -- the graph spectral domain attack, aiming to perturb graph transform coefficients in the spectral domain that corresponds to varying certain geometric structure.

no code implementations • 27 Jul 2022 • Daizong Liu, Xiaoye Qu, Wei Hu

In this paper, we study the above issue of selection biases and accordingly propose a Debiasing-TSG (D-TSG) model to filter and remove the negative biases in both vision and language modalities for enhancing the model generalization ability.

1 code implementation • 23 Jul 2022 • Xinyi Wang, Zitao Wang, Weijian Sun, Wei Hu

Document-level relation extraction (RE) aims to identify the relations between entities throughout an entire document.

Ranked #22 on Relation Extraction on DocRED

1 code implementation • 23 Jul 2022 • Yuxin Wang, Yuanning Cui, Wenqiang Liu, Zequn Sun, Yiqiao Jiang, Kexin Han, Wei Hu

To avoid retraining an entire model on the whole KGs whenever new entities and triples come, we present a continual alignment method for this task.

1 code implementation • 23 Jul 2022 • Xindi Luo, Zequn Sun, Wei Hu

It is useful for a thorough comparison and analysis of various embedding models and tasks.

no code implementations • 19 Apr 2022 • Qianjiang Hu, Wei Hu

The gradient field is the gradient of the log-probability function of the noisy point cloud, based on which we perform gradient ascent so as to converge each point to the underlying clean surface.

no code implementations • 10 Apr 2022 • Zhimin Zhang, Zheng Wang, Wei Hu

In the past few years, there has been a dramatic growth in e-manga (electronic Japanese-style comics).

no code implementations • 2 Apr 2022 • Daochang Wang, Fan Zhang, Fei Ma, Wei Hu, Yu Tang, Yongsheng Zhou

As a result, deep learning methods have not been fully used in airport detection tasks.

1 code implementation • 12 Mar 2022 • Kexuan Xin, Zequn Sun, Wen Hua, Bing Liu, Wei Hu, Jianfeng Qu, Xiaofang Zhou

We also design a conflict resolution mechanism to resolve the alignment conflict when combining the new alignment of an aligner and that from its teacher.

no code implementations • 11 Mar 2022 • Alexander Wei, Wei Hu, Jacob Steinhardt

On the other hand, we find that the classical GCV estimator (Craven and Wahba, 1978) accurately predicts generalization risk even in such overparameterized settings.

no code implementations • 8 Mar 2022 • Shentong Mo, Daizong Liu, Wei Hu

Secondly, since some predicted frames (i. e., boundary frames) are relatively coarse and exhibit similar appearance to their adjacent frames, we propose a coarse-to-fine contrastive learning paradigm to learn more discriminative frame-wise representations for distinguishing the false positive frames.

no code implementations • 6 Mar 2022 • Daizong Liu, Xiang Fang, Wei Hu, Pan Zhou

Temporal sentence grounding aims to localize a target segment in an untrimmed video semantically according to a given sentence query.

no code implementations • 28 Feb 2022 • Jin Zeng, Yang Liu, Gene Cheung, Wei Hu

Specifically, based on a spectral analysis of multilayer GCN output, we derive a spectrum prior for the graph Laplacian matrix $\mathbf{L}$ to robustify the model expressiveness against over-smoothing.

no code implementations • 18 Feb 2022 • Simiao Ren, Wei Hu, Kyle Bradbury, Dylan Harrison-Atlas, Laura Malaguzzi Valeri, Brian Murray, Jordan M. Malof

These include the opportunity to extend the methods beyond electricity to broader energy systems and wider geographic areas; and the ability to expand the use of these methods in research and decision making as satellite data become cheaper and easier to access.

1 code implementation • 15 Feb 2022 • Qianjiang Hu, Daizong Liu, Wei Hu

Instead, we propose point cloud attacks from a new perspective -- Graph Spectral Domain Attack (GSDA), aiming to perturb transform coefficients in the graph spectral domain that corresponds to varying certain geometric structure.

1 code implementation • 21 Jan 2022 • Jiacheng Huang, Yao Zhao, Wei Hu, Zhen Ning, Qijin Chen, Xiaoxia Qiu, Chengfu Huo, Weijun Ren

In this paper, we propose a new trustworthy method that exploits facts for a KG based on multi-sourced noisy data and existing facts in the KG.

1 code implementation • 2 Jan 2022 • Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, Xiaofang Zhou

Entity alignment is a crucial step in integrating knowledge graphs (KGs) from multiple sources.

1 code implementation • 15 Dec 2021 • Ehsan Imani, Wei Hu, Martha White

We then highlight why alignment between the top singular vectors and the targets can speed up learning and show in a classic synthetic transfer problem that representation alignment correlates with positive and negative transfer to similar and dissimilar tasks.

no code implementations • 22 Nov 2021 • Daizong Liu, Wei Hu

Although many efforts have been made into attack and defense on the 2D image domain in recent years, few methods explore the vulnerability of 3D models.

no code implementations • 3 Nov 2021 • Haolan Chen, Bi'an Du, Shitong Luo, Wei Hu

3D point clouds acquired by scanning real-world objects or scenes have found a wide range of applications including immersive telepresence, autonomous driving, surveillance, etc.

no code implementations • 21 Oct 2021 • Wei Hu, Dian Xu, Zimeng Fan, Fang Liu, Yanxiang He

Vis-TOP summarizes the characteristics of all visual Transformer models and implements a three-layer and two-level transformation structure that allows the model to be switched or changed freely without changing the hardware architecture.

no code implementations • 21 Oct 2021 • Lingbing Guo, Zequn Sun, Mingyang Chen, Wei Hu, Qiang Zhang, Huajun Chen

Embedding-based entity alignment (EEA) has recently received great attention.

1 code implementation • EMNLP 2021 • Kailong Hao, Botao Yu, Wei Hu

Distantly supervised relation extraction (RE) automatically aligns unstructured text with relation instances in a knowledge base (KB).

2 code implementations • ICCV 2021 • Shitong Luo, Wei Hu

Since $p * n$ is unknown at test-time, and we only need the score (i. e., the gradient of the log-probability function) to perform gradient ascent, we propose a neural network architecture to estimate the score of $p * n$ given only noisy point clouds as input.

no code implementations • 23 Jul 2021 • Yu Jing, Xiaogang Li, Yang Yang, Chonghang Wu, Wenbing Fu, Wei Hu, Yuanyuan Li, Hua Xu

With the rapid growth of qubit numbers and coherence times in quantum hardware technology, implementing shallow neural networks on the so-called Noisy Intermediate-Scale Quantum (NISQ) devices has attracted a lot of interest.

no code implementations • 5 Jul 2021 • Bi'an Du, Xiang Gao, Wei Hu, Xin Li

Point clouds have attracted increasing attention.

1 code implementation • 29 Jun 2021 • Nikunj Saunshi, Arushi Gupta, Wei Hu

An effective approach in meta-learning is to utilize multiple "train tasks" to learn a good initialization for model parameters that can help solve unseen "test tasks" with very few samples by fine-tuning from this initialization.

no code implementations • 23 Jun 2021 • Qi Lei, Wei Hu, Jason D. Lee

Transfer learning is essential when sufficient data comes from the source domain, with scarce labeled data from the target domain.

1 code implementation • ACL 2021 • Zequn Sun, Muhao Chen, Wei Hu

Since KGs possess different sets of entities, there could be entities that cannot find alignment across them, leading to the problem of dangling entities.

Ranked #1 on Entity Alignment on DBP2.0 zh-en

1 code implementation • 25 May 2021 • Xiang Gao, Wei Hu, Guo-Jun Qi

We formalize the proposed model from an information-theoretic perspective, by maximizing the mutual information between topology transformations and node representations before and after the transformations.

1 code implementation • 21 Apr 2021 • Jidong Ge, Yunyun huang, Xiaoyu Shen, Chuanyi Li, Wei Hu

We believe that learning fine-grained correspondence between each single fact and law articles is crucial for an accurate and trustworthy AI system.

3 code implementations • CVPR 2021 • Shitong Luo, Wei Hu

We present a probabilistic model for point cloud generation, which is fundamental for various 3D vision tasks such as shape completion, upsampling, synthesis and data augmentation.

no code implementations • 1 Mar 2021 • Xiang Gao, Wei Hu, Guo-Jun Qi

Then, we self-train a representation to capture the intrinsic 3D object representation by decoding 3D transformation parameters from the fused feature representations of multiple views before and after the transformation.

no code implementations • 18 Jan 2021 • Gusi Te, Wei Hu, Yinglu Liu, Hailin Shi, Tao Mei

Face parsing infers a pixel-wise label to each facial component, which has drawn much attention recently.

Ranked #3 on Face Parsing on CelebAMask-HQ

no code implementations • 1 Jan 2021 • Lingbing Guo, Zequn Sun, Mingyang Chen, Wei Hu, Huajun Chen

In this paper, we define a typical paradigm abstracted from the existing methods, and analyze how the representation discrepancy between two potentially-aligned entities is implicitly bounded by a predefined margin in the scoring function for embedding learning.

no code implementations • 1 Jan 2021 • Shitong Luo, Wei Hu

Point cloud generation thus amounts to learning the reverse diffusion process that transforms the noise distribution to the distribution of a desired shape.

no code implementations • 1 Jan 2021 • Xiang Gao, Wei Hu, Guo-Jun Qi

We formalize the TopoTER from an information-theoretic perspective, by maximizing the mutual information between topology transformations and node representations before and after the transformations.

no code implementations • 7 Dec 2020 • Jeremy Blackstone, Wei Hu, Alric Althoff, Armaiti Ardeshiricham, Lu Zhang, Ryan Kastner

To justify our model, we prove that Precise Hardware IFT is equivalent to gate level X-propagation and imprecise fault propagation.

Hardware Architecture

no code implementations • 2 Dec 2020 • Yiming Gan, Yu Bo, Boyuan Tian, Leimeng Xu, Wei Hu, Shaoshan Liu, Qiang Liu, Yanjun Zhang, Jie Tang, Yuhao Zhu

We develop and commercialize autonomous machines, such as logistic robots and self-driving cars, around the globe.

Self-Driving Cars Hardware Architecture

2 code implementations • CVPR 2021 • Qianjiang Hu, Xiao Wang, Wei Hu, Guo-Jun Qi

Contrastive learning relies on constructing a collection of negative examples that are sufficiently hard to discriminate against positive queries when their representations are self-trained.

no code implementations • 16 Oct 2020 • Lingbing Guo, Weiqing Wang, Zequn Sun, Chenghao Liu, Wei Hu

Knowledge graph (KG) representation learning methods have achieved competitive performance in many KG-oriented tasks, among which the best ones are usually based on graph neural networks (GNNs), a powerful family of networks that learns the representation of an entity by aggregating the features of its neighbors and itself.

no code implementations • ICLR 2021 • Jiaqi Yang, Wei Hu, Jason D. Lee, Simon S. Du

For the finite-action setting, we present a new algorithm which achieves $\widetilde{O}(T\sqrt{kN} + \sqrt{dkNT})$ regret, where $N$ is the number of rounds we play for each bandit.

1 code implementation • EMNLP 2020 • Zequn Sun, Muhao Chen, Wei Hu, Chengming Wang, Jian Dai, Wei zhang

Capturing associations for knowledge graphs (KGs) through entity alignment, entity type inference and other related tasks benefits NLP applications with comprehensive knowledge representations.

Ranked #26 on Entity Alignment on DBP15k zh-en

1 code implementation • EMNLP 2020 • Difeng Wang, Wei Hu, Ermei Cao, Weijian Sun

Relation extraction (RE) aims to identify the semantic relations between named entities in text.

Ranked #38 on Relation Extraction on DocRED

1 code implementation • 14 Sep 2020 • Wei Hu, QiHao Zhao, Yangyu Huang, Fan Zhang

Learning deep neural network (DNN) classifier with noisy labels is a challenging task because the DNN can easily over-fit on these noisy labels due to its high capability.

1 code implementation • 9 Sep 2020 • Xinze Lyu, Guangyao Li, Jiacheng Huang, Wei Hu

However, existing work incorporated with KGs cannot capture the explicit long-range semantics between users and items meanwhile consider various connectivity between items.

no code implementations • 5 Aug 2020 • Wei Hu, Jiahao Pang, Xian-Ming Liu, Dong Tian, Chia-Wen Lin, Anthony Vetro

Geometric data acquired from real-world scenes, e. g., 2D depth images, 3D point clouds, and 4D dynamic point clouds, have found a wide range of applications including immersive telepresence, autonomous driving, surveillance, etc.

1 code implementation • 27 Jul 2020 • Shitong Luo, Wei Hu

Afterwards, the decoder infers the underlying manifold by transforming each sampled point along with the embedded feature of its neighborhood to a local surface centered around the point.

1 code implementation • ECCV 2020 • Gusi Te, Yinglu Liu, Wei Hu, Hailin Shi, Tao Mei

Specifically, we encode a facial image onto a global graph representation where a collection of pixels ("regions") with similar features are projected to each vertex.

Ranked #4 on Face Parsing on CelebAMask-HQ

no code implementations • NeurIPS 2020 • Wei Hu, Lechao Xiao, Ben Adlam, Jeffrey Pennington

Modern neural networks are often regarded as complex black-box functions whose behavior is difficult to understand owing to their nonlinear dependence on the data and the nonconvexity in their loss landscapes.

1 code implementation • 15 Jun 2020 • Cheng Yang, Gene Cheung, Wei Hu

Given a convex and differentiable objective $Q(\M)$ for a real symmetric matrix $\M$ in the positive definite (PD) cone -- used to compute Mahalanobis distances -- we propose a fast general metric learning framework that is entirely projection-free.

no code implementations • 10 Jun 2020 • Simon S. Du, Wei Hu, Zhiyuan Li, Ruoqi Shen, Zhao Song, Jiajun Wu

Though errors in past actions may affect the future, we are able to bound the number of particles needed so that the long-run reward of the policy based on particle filtering is close to that based on exact inference.

1 code implementation • 22 Apr 2020 • Zequn Sun, Jiacheng Huang, Wei Hu, Muchao Chen, Lingbing Guo, Yuzhong Qu

We refer to such contextualized representations of a relation as edge embeddings and interpret them as translations between entity embeddings.

1 code implementation • 18 Mar 2020 • Farahnaz Akrami, Mohammed Samiul Saeef, Qingheng Zhang, Wei Hu, Chengkai Li

A more fundamental defect of these models is that the link prediction scenario, given such data, is non-existent in the real-world.

no code implementations • 17 Mar 2020 • Wei Hu, Qianjiang Hu, Zehua Wang, Xiang Gao

In particular, we define a manifold-to-manifold distance and its discrete counterpart on graphs to measure the variation-based intrinsic distance between surface patches in the temporal domain, provided that graph operators are discrete counterparts of functionals on Riemannian manifolds.

1 code implementation • 10 Mar 2020 • Zequn Sun, Qingheng Zhang, Wei Hu, Chengming Wang, Muhao Chen, Farahnaz Akrami, Chengkai Li

Recent advancement in KG embedding impels the advent of embedding-based entity alignment, which encodes entities in a continuous embedding space and measures entity similarities based on the learned embeddings.

no code implementations • ICLR 2021 • Simon S. Du, Wei Hu, Sham M. Kakade, Jason D. Lee, Qi Lei

First, we study the setting where this common representation is low-dimensional and provide a fast rate of $O\left(\frac{\mathcal{C}\left(\Phi\right)}{n_1T} + \frac{k}{n_2}\right)$; here, $\Phi$ is the representation function class, $\mathcal{C}\left(\Phi\right)$ is its complexity measure, and $k$ is the dimension of the representation.

1 code implementation • 21 Feb 2020 • Jiacheng Huang, Wei Hu, Zhifeng Bao, Yuzhong Qu

Knowledge bases (KBs) store rich yet heterogeneous entities and facts.

1 code implementation • 15 Feb 2020 • Ermei Cao, Difeng Wang, Jiacheng Huang, Wei Hu

In this paper, we propose a full-fledged approach to knowledge enrichment, which predicts missing properties and infers true facts of long-tail entities from the open Web.

no code implementations • 28 Jan 2020 • Cheng Yang, Gene Cheung, Wei Hu

We propose a fast general projection-free metric learning framework, where the minimization objective $\min_{\textbf{M} \in \mathcal{S}} Q(\textbf{M})$ is a convex differentiable function of the metric matrix $\textbf{M}$, and $\textbf{M}$ resides in the set $\mathcal{S}$ of generalized graph Laplacian matrices for connected graphs with positive edge weights and node degrees.

no code implementations • ICLR 2020 • Wei Hu, Lechao Xiao, Jeffrey Pennington

The selection of initial parameter values for gradient-based optimization of deep neural networks is one of the most impactful hyperparameter choices in deep learning systems, affecting both convergence times and model performance.

no code implementations • 4 Dec 2019 • Yiming He, Wei Hu

To this end, we propose a regularized graph representation learning under a conditional adversarial learning framework for 3D hand pose estimation, aiming to capture structural inter-dependencies of hand joints.

1 code implementation • 20 Nov 2019 • Zequn Sun, Chengming Wang, Wei Hu, Muhao Chen, Jian Dai, Wei zhang, Yuzhong Qu

As the direct neighbors of counterpart entities are usually dissimilar due to the schema heterogeneity, AliNet introduces distant neighbors to expand the overlap between their neighborhood structures.

Ranked #27 on Entity Alignment on DBP15k zh-en

1 code implementation • CVPR 2020 • Xiang Gao, Wei Hu, Guo-Jun Qi

Recent advances in Graph Convolutional Neural Networks (GCNNs) have shown their efficiency for non-Euclidean data on graphs, which often require a large amount of labeled data with high cost.

no code implementations • 3 Nov 2019 • Zhiyuan Li, Ruosong Wang, Dingli Yu, Simon S. Du, Wei Hu, Ruslan Salakhutdinov, Sanjeev Arora

An exact algorithm to compute CNTK (Arora et al., 2019) yielded the finding that classification accuracy of CNTK on CIFAR-10 is within 6-7% of that of that of the corresponding CNN architecture (best figure being around 78%) which is interesting performance for a fixed kernel.

1 code implementation • 11 Sep 2019 • Jiaxiang Tang, Wei Hu, Xiang Gao, Zongming Guo

In particular, we cast the graph optimization problem as distance metric learning to capture pairwise similarities of features in each layer.

no code implementations • IJCNLP 2019 • Jiwei Ding, Wei Hu, Qixin Xu, Yuzhong Qu

Formal query generation aims to generate correct executable queries for question answering over knowledge bases (KBs), given entity and relation linking results.

no code implementations • 22 Jul 2019 • Wei Hu, Xiang Gao, Gene Cheung, Zongming Guo

In this work, we assume instead the availability of a relevant feature vector $\mathbf{f}_i$ per node $i$, from which we compute an optimal feature graph via optimization of a feature metric.

1 code implementation • NeurIPS 2019 • Rohith Kuditipudi, Xiang Wang, Holden Lee, Yi Zhang, Zhiyuan Li, Wei Hu, Sanjeev Arora, Rong Ge

Mode connectivity is a surprising phenomenon in the loss landscape of deep nets.

1 code implementation • 6 Jun 2019 • Qingheng Zhang, Zequn Sun, Wei Hu, Muhao Chen, Lingbing Guo, Yuzhong Qu

Furthermore, we design some cross-KG inference methods to enhance the alignment between two KGs.

1 code implementation • NeurIPS 2019 • Sanjeev Arora, Nadav Cohen, Wei Hu, Yuping Luo

Efforts to understand the generalization mystery in deep learning have led to the belief that gradient-based optimization induces a form of implicit regularization, a bias towards models of low "complexity."

no code implementations • ICLR 2020 • Wei Hu, Zhiyuan Li, Dingli Yu

Over-parameterized deep neural networks trained by simple first-order methods are known to be able to fit any labeling of data.

1 code implementation • 13 May 2019 • Lingbing Guo, Zequn Sun, Wei Hu

Moreover, triple-level learning is insufficient for the propagation of semantic information among entities, especially for the case of cross-KG embedding.

no code implementations • 28 Apr 2019 • Wei Hu, Qianjiang Hu, Zehua Wang, Xiang Gao

Finally, based on the spatial-temporal graph learning, we formulate dynamic point cloud denoising as the joint optimization of the desired point cloud and underlying spatio-temporal graph, which leverages both intra-frame affinities and inter-frame consistency and is solved via alternating minimization.

2 code implementations • NeurIPS 2019 • Sanjeev Arora, Simon S. Du, Wei Hu, Zhiyuan Li, Ruslan Salakhutdinov, Ruosong Wang

An attraction of such ideas is that a pure kernel-based method is used to capture the power of a fully-trained deep net of infinite width.

no code implementations • 23 Apr 2019 • Xiang Gao, Wei Hu, Zongming Guo

In this paper, we propose Graph Learning Neural Networks (GLNNs), which exploit the optimization of graphs (the adjacency matrix in particular) from both data and tasks.

no code implementations • 23 Apr 2019 • Zeqing Fu, Wei Hu, Zongming Guo

With the development of 3D laser scanning techniques and depth sensors, 3D dynamic point clouds have attracted increasing attention as a representation of 3D objects in motion, enabling various applications such as 3D immersive tele-presence, gaming and navigation.

2 code implementations • CVPR 2019 • Wei Hu, Yangyu Huang, Fan Zhang, Ruirui Li

Benefit from large-scale training datasets, deep Convolutional Neural Networks(CNNs) have achieved impressive results in face recognition(FR).

2 code implementations • 28 Feb 2019 • Wei Hu, Kyle Bradbury, Jordan M. Malof, Boning Li, Bohao Huang, Artem Streltsov, K. Sydny Fujita, Ben Hoen

Our findings suggest that traditional performance evaluation of the automated identification of solar PV from satellite imagery may be optimistic due to common limitations in the validation process.

no code implementations • 24 Jan 2019 • Sanjeev Arora, Simon S. Du, Wei Hu, Zhiyuan Li, Ruosong Wang

This paper analyzes training and generalization for a simple 2-layer ReLU net with random initialization, and provides the following improvements over recent works: (i) Using a tighter characterization of training speed than recent papers, an explanation for why training a neural net with random labels leads to slower training, as originally observed in [Zhang et al. ICLR'17].

no code implementations • 24 Jan 2019 • Simon S. Du, Wei Hu

We prove that for an $L$-layer fully-connected linear neural network, if the width of every hidden layer is $\tilde\Omega (L \cdot r \cdot d_{\mathrm{out}} \cdot \kappa^3 )$, where $r$ and $\kappa$ are the rank and the condition number of the input data, and $d_{\mathrm{out}}$ is the output dimension, then gradient descent with Gaussian random initialization converges to a global minimum at a linear rate.

no code implementations • 29 Dec 2018 • Junkun Qi, Wei Hu, Zongming Guo

With the development of 3D sensing technologies, point clouds have attracted increasing attention in a variety of applications for 3D object representation, such as autonomous driving, 3D immersive tele-presence and heritage reconstruction.

no code implementations • 29 Nov 2018 • Xiang Gao, Wei Hu, Jiaxiang Tang, Jiaying Liu, Zongming Guo

In this paper, we represent skeletons naturally on graphs, and propose a graph regression based GCN (GR-GCN) for skeleton-based action recognition, aiming to capture the spatio-temporal variation in the data.

Ranked #2 on Skeleton Based Action Recognition on Florence 3D

no code implementations • 28 Nov 2018 • Wei Hu, Gusi Te, Ju He, Dong Chen, Zongming Guo

Face anti-spoofing plays a crucial role in protecting face recognition systems from various attacks.

no code implementations • 6 Nov 2018 • Lingbing Guo, Zequn Sun, Ermei Cao, Wei Hu

We consider the problem of learning knowledge graph (KG) embeddings for entity alignment (EA).

1 code implementation • 30 Oct 2018 • Lingbing Guo, Qingheng Zhang, Weiyi Ge, Wei Hu, Yuzhong Qu

Knowledge graph (KG) completion aims to fill the missing facts in a KG, where a fact is represented as a triple in the form of $(subject, relation, object)$.

no code implementations • ICLR 2019 • Sanjeev Arora, Nadav Cohen, Noah Golowich, Wei Hu

We analyze speed of convergence to global optimum for gradient descent training a deep linear neural network (parameterized as $x \mapsto W_N W_{N-1} \cdots W_1 x$) by minimizing the $\ell_2$ loss over whitened data.

no code implementations • 28 Sep 2018 • Zeqing Fu, Wei Hu, Zongming Guo

Hence, leveraging on recent advances in graph signal processing, we propose an efficient point cloud inpainting method, exploiting both the local smoothness and the non-local self-similarity in point clouds.

no code implementations • 24 Sep 2018 • Wei Hu, Weining Shen, Hua Zhou, Dehan Kong

We propose a novel linear discriminant analysis approach for the classification of high-dimensional matrix-valued data that commonly arises from imaging studies.

no code implementations • 8 Jun 2018 • Gusi Te, Wei Hu, Zongming Guo, Amin Zheng

Leveraging on spectral graph theory, we treat features of points in a point cloud as signals on graph, and define the convolution over graph by Chebyshev polynomial approximation.

no code implementations • NeurIPS 2018 • Simon S. Du, Wei Hu, Jason D. Lee

Using a discretization argument, we analyze gradient descent with positive step size for the non-convex low-rank asymmetric matrix factorization problem without any regularization.

no code implementations • 29 Apr 2018 • Kai Yue, Lei Yang, Ruirui Li, Wei Hu, Fan Zhang, Wei Li

For the task of subdecimeter aerial imagery segmentation, fine-grained semantic segmentation results are usually difficult to obtain because of complex remote sensing content and optical conditions.

no code implementations • NeurIPS 2018 • Elad Hazan, Wei Hu, Yuanzhi Li, Zhiyuan Li

We revisit the question of reducing online learning to approximate optimization of the offline problem.

1 code implementation • 17 Mar 2018 • Wei Hu, Yangyu Huang, Fan Zhang, Ruirui Li, Wei Li, Guodong Yuan

Deep convolutional neural networks (CNNs) have greatly improved the Face Recognition (FR) performance in recent years.

Ranked #1 on Face Verification on YouTube Faces DB

no code implementations • 5 Mar 2018 • Sanjeev Arora, Wei Hu, Pravesh K. Kothari

A first line of attack in exploratory data analysis is data visualization, i. e., generating a 2-dimensional representation of data that makes clusters of similar points visually identifiable.

no code implementations • 5 Feb 2018 • Simon S. Du, Wei Hu

We consider the convex-concave saddle point problem $\min_{x}\max_{y} f(x)+y^\top A x-g(y)$ where $f$ is smooth and convex and $g$ is smooth and strongly convex.

no code implementations • 1 Feb 2018 • Wei Hu, Zhao Song, Lin F. Yang, Peilin Zhong

We consider the $k$-means clustering problem in the dynamic streaming setting, where points from a discrete Euclidean space $\{1, 2, \ldots, \Delta\}^d$ can be dynamically inserted to or deleted from the dataset.

2 code implementations • 1 Sep 2017 • Ruirui Li, Wenjie Liu, Lei Yang, Shihao Sun, Wei Hu, Fan Zhang, Wei Li

Semantic segmentation is a fundamental research in remote sensing image processing.

1 code implementation • 16 Aug 2017 • Zequn Sun, Wei Hu, Chengkai Li

Our experimental results on real-world datasets show that this approach significantly outperforms the state-of-the-art embedding approaches for cross-lingual entity alignment and could be complemented with methods based on machine translation.

no code implementations • NeurIPS 2017 • Zeyuan Allen-Zhu, Elad Hazan, Wei Hu, Yuanzhi Li

We propose a rank-$k$ variant of the classical Frank-Wolfe algorithm to solve convex optimization over a trace-norm ball.

no code implementations • 17 Jul 2017 • Meng Wang, Jiaheng Zhang, Jun Liu, Wei Hu, Sen Wang, Xue Li, Wenqiang Liu

Electronic medical records contain multi-format electronic medical data that consist of an abundance of medical knowledge.

no code implementations • NeurIPS 2016 • Wei Chen, Wei Hu, Fu Li, Jian Li, Yu Liu, Pinyan Lu

Our framework enables a much larger class of reward functions such as the $\max()$ function and nonlinear utility functions.

no code implementations • 10 Apr 2014 • Wei Hu, Wei Li, Fan Zhang, Qian Du

Decolorization is the process to convert a color image or video to its grayscale version, and it has received great attention in recent years.

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