b'Xiang Wang'

research

∙ 04/06/2023

GIF: A General Graph Unlearning Strategy via Influence Function

With the greater emphasis on privacy and security in our society, the pr...

0 Jiancan Wu, et al. ∙

research

∙ 04/06/2023

Robust, privacy-preserving, transparent, and auditable on-device blocklisting

With the accelerated adoption of end-to-end encryption, there is an oppo...

0 Kurt Thomas, et al. ∙

research

∙ 04/03/2023

MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action Recognition

Current state-of-the-art approaches for few-shot action recognition achi...

0 Xiang Wang, et al. ∙

research

∙ 03/06/2023

Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting

Under stringent model type and variable distribution assumptions, differ...

0 An Zhang, et al. ∙

research

∙ 03/06/2023

CLIP-guided Prototype Modulating for Few-shot Action Recognition

Learning from large-scale contrastive language-image pre-training like C...

0 Xiang Wang, et al. ∙

research

∙ 02/10/2023

Invariant Collaborative Filtering to Popularity Distribution Shift

Collaborative Filtering (CF) models, despite their great success, suffer...

0 An Zhang, et al. ∙

research

∙ 12/20/2022

Causal Inference for Knowledge Graph based Recommendation

Knowledge Graph (KG), as a side-information, tends to be utilized to sup...

0 Yinwei Wei, et al. ∙

research

∙ 11/25/2022

MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly Detection

Visual anomaly detection plays a crucial role in not only manufacturing ...

0 Tianpeng Bao, et al. ∙

research

∙ 11/19/2022

Real-World Image Super Resolution via Unsupervised Bi-directional Cycle Domain Transfer Learning based Generative Adversarial Network

Deep Convolutional Neural Networks (DCNNs) have exhibited impressive per...

0 Xiang Wang, et al. ∙

research

∙ 11/18/2022

Semantic Encoder Guided Generative Adversarial Face Ultra-Resolution Network

Face super-resolution is a domain-specific image super-resolution, which...

0 Xiang Wang, et al. ∙

research

∙ 11/05/2022

Adversarial Causal Augmentation for Graph Covariate Shift

Out-of-distribution (OOD) generalization on graphs is drawing widespread...

0 Yongduo Sui, et al. ∙

research

∙ 11/02/2022

Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning

Recent incremental learning for action recognition usually stores repres...

0 Yixuan Pei, et al. ∙

research

∙ 10/24/2022

Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup

Mixup is a data augmentation technique that relies on training using ran...

0 Muthu Chidambaram, et al. ∙

research

∙ 10/21/2022

The sequence reconstruction problem for permutations with the Hamming distance

V. Levenshtein first proposed the sequence reconstruction problem in 200...

0 Xiang Wang, et al. ∙

research

∙ 10/20/2022

Slippage-robust Gaze Tracking for Near-eye Display

In recent years, head-mounted near-eye display devices have become the k...

0 Wei Zhang, et al. ∙

research

∙ 10/20/2022

Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering

Collaborative filtering (CF) models easily suffer from popularity bias, ...

0 An Zhang, et al. ∙

research

∙ 10/07/2022

Understanding Edge-of-Stability Training Dynamics with a Minimalist Example

Recently, researchers observed that gradient descent for deep neural net...

0 Xingyu Zhu, et al. ∙

research

∙ 10/06/2022

Vision-Based Defect Classification and Weight Estimation of Rice Kernels

Rice is one of the main staple food in many areas of the world. The qual...

0 Xiang Wang, et al. ∙

research

∙ 10/03/2022

Plateau in Monotonic Linear Interpolation – A "Biased" View of Loss Landscape for Deep Networks

Monotonic linear interpolation (MLI) - on the line connecting a random i...

6 Xiang Wang, et al. ∙

research

∙ 07/26/2022

Equivariant and Invariant Grounding for Video Question Answering

Video Question Answering (VideoQA) is the task of answering the natural ...

0 Yicong Li, et al. ∙

research

∙ 07/24/2022

MAR: Masked Autoencoders for Efficient Action Recognition

Standard approaches for video recognition usually operate on the full in...

10 Zhiwu Qing, et al. ∙

research

∙ 07/18/2022

MLGOPerf: An ML Guided Inliner to Optimize Performance

For the past 25 years, we have witnessed an extensive application of Mac...

0 Amir H. Ashouri, et al. ∙

research

∙ 06/18/2022

Context-aware Proposal Network for Temporal Action Detection

This technical report presents our first place winning solution for temp...

0 Xiang Wang, et al. ∙

research

∙ 06/16/2022

Let Invariant Rationale Discovery Inspire Graph Contrastive Learning

Leading graph contrastive learning (GCL) methods perform graph augmentat...

0 Sihang Li, et al. ∙

research

∙ 06/06/2022

Invariant Grounding for Video Question Answering

Video Question Answering (VideoQA) is the task of answering questions ab...

0 Yicong Li, et al. ∙

research

∙ 06/01/2022

CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation

Bundle recommendation aims to recommend a bundle of related items to use...

0 Yunshan Ma, et al. ∙

research

∙ 05/31/2022

Differentiable Invariant Causal Discovery

Learning causal structure from observational data is a fundamental chall...

0 Yu Wang, et al. ∙

research

∙ 05/30/2022

Benchmarking Unsupervised Anomaly Detection and Localization

Unsupervised anomaly detection and localization, as of one the most prac...

0 Ye Zheng, et al. ∙

research

∙ 05/24/2022

Construction and analysis of the quadratic finite volume methods on tetrahedral meshes

A family of quadratic finite volume method (FVM) schemes are constructed...

0 Peng Yang, et al. ∙

research

∙ 05/03/2022

Copy Motion From One to Another: Fake Motion Video Generation

One compelling application of artificial intelligence is to generate a v...

0 Zhenguang Liu, et al. ∙

research

∙ 05/02/2022

A Novel Speech-Driven Lip-Sync Model with CNN and LSTM

Generating synchronized and natural lip movement with speech is one of t...

0 Xiaohong Li, et al. ∙

research

∙ 04/26/2022

Cross Pairwise Ranking for Unbiased Item Recommendation

Most recommender systems optimize the model on observed interaction data...

0 Qi Wan, et al. ∙

research

∙ 04/23/2022

Reinforced Causal Explainer for Graph Neural Networks

Explainability is crucial for probing graph neural networks (GNNs), answ...

0 Xiang Wang, et al. ∙

research

∙ 04/19/2022

Rumor Detection with Self-supervised Learning on Texts and Social Graph

Rumor detection has become an emerging and active research field in rece...

3 Yuan Gao, et al. ∙

research

∙ 03/29/2022

Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation

Multi-frame human pose estimation has long been a compelling and fundame...

2 Zhenguang Liu, et al. ∙

research

∙ 01/30/2022

Discovering Invariant Rationales for Graph Neural Networks

Intrinsic interpretability of graph neural networks (GNNs) is to find a ...

0 Ying-Xin Wu, et al. ∙

research

∙ 01/21/2022

Deconfounding to Explanation Evaluation in Graph Neural Networks

Explainability of graph neural networks (GNNs) aims to answer “Why the G...

0 Ying Xin, et al. ∙

research

∙ 01/14/2022

Training Free Graph Neural Networks for Graph Matching

We present TFGM (Training Free Graph Matching), a framework to boost the...

12 Zhiyuan Liu, et al. ∙

research

∙ 01/07/2022

On the Effectiveness of Sampled Softmax Loss for Item Recommendation

Learning objectives of recommender models remain largely unexplored. Mos...

0 Jiancan Wu, et al. ∙

research

∙ 12/30/2021

Deconfounded Training for Graph Neural Networks

Learning powerful representations is one central theme of graph neural n...

0 Yongduo Sui, et al. ∙

research

∙ 11/18/2021

Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence

Artificial intelligence (AI) provides a promising substitution for strea...

14 Xiang Bai, et al. ∙

research

∙ 11/15/2021

FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows

Unsupervised anomaly detection and localization is crucial to the practi...

21 Jiawei Yu, et al. ∙

research

∙ 10/14/2021

Towards Understanding the Data Dependency of Mixup-style Training

In the Mixup training paradigm, a model is trained using convex combinat...

0 Muthu Chidambaram, et al. ∙

research

∙ 10/11/2021

Towards Demystifying Representation Learning with Non-contrastive Self-supervision

Non-contrastive methods of self-supervised learning (such as BYOL and Si...

2 Xiang Wang, et al. ∙

research

∙ 10/09/2021

Focus Your Distribution: Coarse-to-Fine Non-Contrastive Learning for Anomaly Detection and Localization

The essence of unsupervised anomaly detection is to learn the compact di...

0 Ye Zheng, et al. ∙

research

∙ 08/05/2021

Time-aware Path Reasoning on Knowledge Graph for Recommendation

Reasoning on knowledge graph (KG) has been studied for explainable recom...

0 Yuyue Zhao, et al. ∙

research

∙ 08/02/2021

Exploring Lottery Ticket Hypothesis in Media Recommender Systems

Media recommender systems aim to capture users' preferences and provide ...

0 Yanfang Wang, et al. ∙

research

∙ 08/01/2021

Visual Boundary Knowledge Translation for Foreground Segmentation

When confronted with objects of unknown types in an image, humans can ef...

0 Zunlei Feng, et al. ∙

research

∙ 07/12/2021

Contrastive Learning for Cold-Start Recommendation

Recommending cold-start items is a long-standing and fundamental challen...

0 Yinwei Wei, et al. ∙

research

∙ 06/24/2021

Exploring Stronger Feature for Temporal Action Localization

Temporal action localization aims to localize starting and ending time w...

0 Zhiwu Qing, et al. ∙

Xiang Wang

Featured Co-authors