220 citations · 465 across the 23 of their papers we have counts for
23 papers
Bias Testing and Mitigation in LLM-based Code Generation
Dong Huang, Jie M. Zhang, Qingwen Bu +3
As the adoption of LLMs becomes more widespread in software coding ecosystems, a pressing issue has emerged: does the generated code contain social bias and unfairness, such as tho…
Towards Building More Robust Models with Frequency Bias
Qingwen Bu, Dong Huang, Heming Cui
The vulnerability of deep neural networks to adversarial samples has been a major impediment to their broad applications, despite their success in various fields. Recently, some wo…
A tera-electronvolt afterglow from a narrow jet in an extremely bright gamma-ray burst 221009A
LHAASO Collaboration
Some gamma-ray bursts (GRBs) have an afterglow in the tera-electronvolt (TeV) band, but the early onset of this afterglow has not been observed. We report observations with the Lar…
Observation of fast sound in two-dimensional dusty plasma liquids
Zhenyu Ge, Dong Huang, Shaoyu Lu +3
Equilibrium molecular dynamics simulations are performed to study two-dimensional (2D) dusty plasma liquids. Based on the stochastic thermal motion of simulated particles, the long…
Zero-shot Model Diagnosis
Jinqi Luo, Zhaoning Wang, Chen Henry Wu +2
When it comes to deploying deep vision models, the behavior of these systems must be explicable to ensure confidence in their reliability and fairness. A common approach to evaluat…
Revealing the supercritical dynamics of dusty plasmas and their liquid-like to gas-like dynamical crossover
Dong Huang, Matteo Baggioli, Shaoyu Lu +2
Dusty plasmas represent a powerful playground to study the collective dynamics of strongly coupled systems with important interdisciplinary connections to condensed matter physics.…
DensePose From WiFi
Jiaqi Geng, Dong Huang, Fernando De la Torre
Advances in computer vision and machine learning techniques have led to significant development in 2D and 3D human pose estimation from RGB cameras, LiDAR, and radars. However, hum…
Bidirectional flow of two-dimensional dusty plasma under asymmetric periodic substrates driven by unbiased external excitations
Wei Li, D. Huang, C. Reichhardt +2
Collective transport properties of a one-dimensional asymmetric periodic substrate (1DAPS) modulated two-dimensional dusty plasma (2DDP) driven by an unbiased sinusoidal excitation…
Two Heads are Better than One: Robust Learning Meets Multi-branch Models
Zongyuan Zhang, Qingwen Bu, Tianyang Duan +5
Deep neural networks (DNNs) are vulnerable to adversarial examples, in which DNNs are misled to false outputs due to inputs containing imperceptible perturbations. Adversarial trai…
The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization
Zeyi Huang, Haohan Wang, Dong Huang +2
Training with an emphasis on "hard-to-learn" components of the data has been proven as an effective method to improve the generalization of machine learning models, especially in t…
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation
Zechun Liu, Kwang-Ting Cheng, Dong Huang +2
The nonuniform quantization strategy for compressing neural networks usually achieves better performance than its counterpart, i.e., uniform strategy, due to its superior represent…
Elaborative Rehearsal for Zero-shot Action Recognition
Shizhe Chen, Dong Huang
The growing number of action classes has posed a new challenge for video understanding, making Zero-Shot Action Recognition (ZSAR) a thriving direction. The ZSAR task aims to recog…
How Do Adam and Training Strategies Help BNNs Optimization?
Zechun Liu, Zhiqiang Shen, Shichao Li +3
The best performing Binary Neural Networks (BNNs) are usually attained using Adam optimization and its multi-step training variants. However, to the best of our knowledge, few stud…
Self-Challenging Improves Cross-Domain Generalization
Zeyi Huang, Haohan Wang, Eric P. Xing +1
Convolutional Neural Networks (CNN) conduct image classification by activating dominant features that correlated with labels. When the training and testing data are under similar d…
Multiple Anchor Learning for Visual Object Detection
Wei Ke, Tianliang Zhang, Zeyi Huang +3
Classification and localization are two pillars of visual object detectors. However, in CNN-based detectors, these two modules are usually optimized under a fixed set of candidate…
Frame-wise Motion and Appearance for Real-time Multiple Object Tracking
Jimuyang Zhang, Sanping Zhou, Jinjun Wang +1
The main challenge of Multiple Object Tracking (MOT) is the efficiency in associating indefinite number of objects between video frames. Standard motion estimators used in tracking…
Temporal Unet: Sample Level Human Action Recognition using WiFi
Fei Wang, Yunpeng Song, Jimuyang Zhang +2
Human doing actions will result in WiFi distortion, which is widely explored for action recognition, such as the elderly fallen detection, hand sign language recognition, and keyst…
Can WiFi Estimate Person Pose?
Fei Wang, Stanislav Panev, Ziyi Dai +2
WiFi human sensing has achieved great progress in indoor localization, activity classification, etc. Retracing the development of these work, we have a natural question: can WiFi d…
SE2Net: Siamese Edge-Enhancement Network for Salient Object Detection
Sanping Zhou, Jimuyang Zhang, Jinjun Wang +2
Deep convolutional neural network significantly boosted the capability of salient object detection in handling large variations of scenes and object appearances. However, convoluti…
Person-in-WiFi: Fine-grained Person Perception using WiFi
Fei Wang, Sanping Zhou, Stanislav Panev +2
Fine-grained person perception such as body segmentation and pose estimation has been achieved with many 2D and 3D sensors such as RGB/depth cameras, radars (e.g., RF-Pose) and LiD…
Improving Object Detection with Inverted Attention
Zeyi Huang, Wei Ke, Dong Huang
Improving object detectors against occlusion, blur and noise is a critical step to deploy detectors in real applications. Since it is not possible to exhaust all image defects thro…
WiPIN: Operation-free Passive Person Identification Using Wi-Fi Signals
Fei Wang, Jinsong Han, Feng Lin +1
Wi-Fi signals-based person identification attracts increasing attention in the booming Internet-of-Things era mainly due to its pervasiveness and passiveness. Most previous work ap…
Optimal Gradient Checkpoint Search for Arbitrary Computation Graphs
Jianwei Feng, Dong Huang
Deep Neural Networks(DNNs) require huge GPU memory when training on modern image/video databases. Unfortunately, the GPU memory is physically finite, which limits the image resolut…