16 citations · 44 across the 15 of their papers we have counts for
15 papers
How Does Diffusion Influence Pretrained Language Models on Out-of-Distribution Data?
Huazheng Wang, Daixuan Cheng, Haifeng Sun +5
Transformer-based pretrained language models (PLMs) have achieved great success in modern NLP. An important advantage of PLMs is good out-of-distribution (OOD) robustness. Recently…
Adaptive DNN Surgery for Selfish Inference Acceleration with On-demand Edge Resource
Xiang Yang, Dezhi Chen, Qi Qi +4
Deep Neural Networks (DNNs) have significantly improved the accuracy of intelligent applications on mobile devices. DNN surgery, which partitions DNN processing between mobile devi…
Improving Identity-Robustness for Face Models
Qi Qi, Shervin Ardeshir
Despite the success of deep-learning models in many tasks, there have been concerns about such models learning shortcuts, and their lack of robustness to irrelevant confounders. Wh…
Decoupled Iterative Refinement Framework for Interacting Hands Reconstruction from a Single RGB Image
Pengfei Ren, Chao Wen, Xiaozheng Zheng +5
Reconstructing interacting hands from a single RGB image is a very challenging task. On the one hand, severe mutual occlusion and similar local appearance between two hands confuse…
Fairness via Adversarial Attribute Neighbourhood Robust Learning
Qi Qi, Shervin Ardeshir, Yi Xu +1
Improving fairness between privileged and less-privileged sensitive attribute groups (e.g, {race, gender}) has attracted lots of attention. To enhance the model performs uniformly…
Stochastic Constrained DRO with a Complexity Independent of Sample Size
Qi Qi, Jiameng Lyu, Kung sik Chan +2
Distributionally Robust Optimization (DRO), as a popular method to train robust models against distribution shift between training and test sets, has received tremendous attention…
Can Shuffling Video Benefit Temporal Bias Problem: A Novel Training Framework for Temporal Grounding
Jiachang Hao, Haifeng Sun, Pengfei Ren +3
Temporal grounding aims to locate a target video moment that semantically corresponds to the given sentence query in an untrimmed video. However, recent works find that existing me…
PICO: Pipeline Inference Framework for Versatile CNNs on Diverse Mobile Devices
Xiang Yang, Zikang Xu, Qi Qi +4
Distributing the inference of convolutional neural network (CNN) to multiple mobile devices has been studied in recent years to achieve real-time inference without losing accuracy.…
Fisher Markets with Linear Constraints: Equilibrium Properties and Efficient Distributed Algorithms
Devansh Jalota, Marco Pavone, Qi Qi +1
The Fisher market is one of the most fundamental models for resource allocation problems in economic theory, wherein agents spend a budget of currency to buy goods that maximize th…
Attentional-Biased Stochastic Gradient Descent
Qi Qi, Yi Xu, Rong Jin +2
In this paper, we present a simple yet effective provable method (named ABSGD) for addressing the data imbalance or label noise problem in deep learning. Our method is a simple mod…
Advanced Graph and Sequence Neural Networks for Molecular Property Prediction and Drug Discovery
Zhengyang Wang, Meng Liu, Youzhi Luo +8
Properties of molecules are indicative of their functions and thus are useful in many applications. With the advances of deep learning methods, computational approaches for predict…
Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction
Xuanzhao Wang, Zhengping Che, Bo Jiang +6
Video anomaly detection is commonly used in many applications such as security surveillance and is very challenging.A majority of recent video anomaly detection approaches utilize…
AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation
Weiting Huang, Pengfei Ren, Jingyu Wang +2
In this paper, we propose an adaptive weighting regression (AWR) method to leverage the advantages of both detection-based and regression-based methods. Hand joint coordinates are…
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks
Jiashi Li, Qi Qi, Jingyu Wang +4
Channel pruning can significantly accelerate and compress deep neural networks. Many channel pruning works utilize structured sparsity regularization to zero out all the weights in…
Cloud Service-Aware Location Update in Mobile Cloud Computing
Qi Qi, Yufei Cao
Mobile devices are becoming the primary platforms for many users who always roam around when accessing the cloud computing services. From this, the cloud computing is integrated in…