368 citations · 527 across the 27 of their papers we have counts for
27 papers
CLDG: Contrastive Learning on Dynamic Graphs
Yiming Xu, Bin Shi, Teng Ma +3
The graph with complex annotations is the most potent data type, whose constantly evolving motivates further exploration of the unsupervised dynamic graph representation. One of th…
A Geometrical Approach to Evaluate the Adversarial Robustness of Deep Neural Networks
Yang Wang, Bo Dong, Ke Xu +4
Deep Neural Networks (DNNs) are widely used for computer vision tasks. However, it has been shown that deep models are vulnerable to adversarial attacks, i.e., their performances d…
In the Blink of an Eye: Event-based Emotion Recognition
Haiwei Zhang, Jiqing Zhang, Bo Dong +5
We introduce a wearable single-eye emotion recognition device and a real-time approach to recognizing emotions from partial observations of an emotion that is robust to changes in…
A Low-rank Matching Attention based Cross-modal Feature Fusion Method for Conversational Emotion Recognition
Yuntao Shou, Huan Liu, Xiangyong Cao +2
Conversational emotion recognition (CER) is an important research topic in human-computer interactions. {Although recent advancements in transformer-based cross-modal fusion method…
U-NEED: A Fine-grained Dataset for User Needs-Centric E-commerce Conversational Recommendation
Yuanxing Liu, Weinan Zhang, Baohua Dong +8
Conversational recommender systems (CRSs) aim to understand the information needs and preferences expressed in a dialogue to recommend suitable items to the user. Most of the exist…
APAM: Adaptive Pre-training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-tailed Learning
Sunyi Chi, Bo Dong, Yiming Xu +2
Practical natural language processing (NLP) tasks are commonly long-tailed with noisy labels. Those problems challenge the generalization and robustness of complex models such as D…
Head-Free Lightweight Semantic Segmentation with Linear Transformer
Bo Dong, Pichao Wang, Fan Wang
Existing semantic segmentation works have been mainly focused on designing effective decoders; however, the computational load introduced by the overall structure has long been ign…
A new conservative discontinuous Galerkin method via implicit penalization for the generalized KdV equation
Yanlai Chen, Bo Dong, Rebecca Pereira
We design, analyze, and implement a new conservative Discontinuous Galerkin (DG) method for the simulation of solitary wave solutions to the generalized Korteweg-de Vries (KdV) Equ…
ASD: Towards Attribute Spatial Decomposition for Prior-Free Facial Attribute Recognition
Chuanfei Hu, Hang Shao, Bo Dong +2
Representing the spatial properties of facial attributes is a vital challenge for facial attribute recognition (FAR). Recent advances have achieved the reliable performances for FA…
Point Cloud Scene Completion with Joint Color and Semantic Estimation from Single RGB-D Image
Zhaoxuan Zhang, Xiaoguang Han, Bo Dong +3
We present a deep reinforcement learning method of progressive view inpainting for colored semantic point cloud scene completion under volume guidance, achieving high-quality scene…
Biologically Inspired Dynamic Thresholds for Spiking Neural Networks
Jianchuan Ding, Bo Dong, Felix Heide +4
The dynamic membrane potential threshold, as one of the essential properties of a biological neuron, is a spontaneous regulation mechanism that maintains neuronal homeostasis, i.e.…
Interactive Segmentation and Visualization for Tiny Objects in Multi-megapixel Images
Chengyuan Xu, Boning Dong, Noah Stier +4
We introduce an interactive image segmentation and visualization framework for identifying, inspecting, and editing tiny objects (just a few pixels wide) in large multi-megapixel h…
HIE-SQL: History Information Enhanced Network for Context-Dependent Text-to-SQL Semantic Parsing
Yanzhao Zheng, Haibin Wang, Baohua Dong +2
Recently, context-dependent text-to-SQL semantic parsing which translates natural language into SQL in an interaction process has attracted a lot of attention. Previous works lever…
Computationally Efficient Approximations for Matrix-based Renyi's Entropy
Tieliang Gong, Yuxin Dong, Shujian Yu +1
The recently developed matrix based Renyi's entropy enables measurement of information in data simply using the eigenspectrum of symmetric positive semi definite (PSD) matrices in…
All You Need is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines
Yuxuan Zhang, Bo Dong, Felix Heide
Existing neural networks for computer vision tasks are vulnerable to adversarial attacks: adding imperceptible perturbations to the input images can fool these methods to make a fa…
Markov subsampling based Huber Criterion
Tieliang Gong, Yuxin Dong, Hong Chen +2
Subsampling is an important technique to tackle the computational challenges brought by big data. Many subsampling procedures fall within the framework of importance sampling, whic…
Regularized Modal Regression on Markov-dependent Observations: A Theoretical Assessment
Tielang Gong, Yuxin Dong, Hong Chen +3
Modal regression, a widely used regression protocol, has been extensively investigated in statistical and machine learning communities due to its robustness to outliers and heavy-t…
TNTC: two-stream network with transformer-based complementarity for gait-based emotion recognition
Chuanfei Hu, Weijie Sheng, Bo Dong +1
Recognizing the human emotion automatically from visual characteristics plays a vital role in many intelligent applications. Recently, gait-based emotion recognition, especially ga…
Object Tracking by Jointly Exploiting Frame and Event Domain
Jiqing Zhang, Xin Yang, Yingkai Fu +3
Inspired by the complementarity between conventional frame-based and bio-inspired event-based cameras, we propose a multi-modal based approach to fuse visual cues from the frame- a…
Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers
Bo Dong, Wenhai Wang, Deng-Ping Fan +3
Most polyp segmentation methods use CNNs as their backbone, leading to two key issues when exchanging information between the encoder and decoder: 1) taking into account the differ…
Multi-domain Collaborative Feature Representation for Robust Visual Object Tracking
Jiqing Zhang, Kai Zhao, Bo Dong +4
Jointly exploiting multiple different yet complementary domain information has been proven to be an effective way to perform robust object tracking. This paper focuses on effective…
Cosmic-CoNN: A Cosmic Ray Detection Deep-Learning Framework, Dataset, and Toolkit
Chengyuan Xu, Curtis McCully, Boning Dong +2
Rejecting cosmic rays (CRs) is essential for the scientific interpretation of CCD-captured data, but detecting CRs in single-exposure images has remained challenging. Conventional…
A Boundary Regression Model for Nested Named Entity Recognition
Yanping Chen, Lefei Wu, Qinghua Zheng +7
Recognizing named entities (NEs) is commonly conducted as a classification problem that predicts a class tag for a word or a NE candidate in a sentence. In shallow structures, cate…
Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging with Fisher-Discriminative 3D CNN
Le Zhang, Ali Gooya, Marco Pereanez +5
Cardiac magnetic resonance (CMR) images play a growing role in the diagnostic imaging of cardiovascular diseases. Full coverage of the left ventricle (LV), from base to apex, is a…