Multi-video object synopsis integrating optimal view switching. - Zhensong Zhang; Yongwei Nie; Hanqiu Sun; Qiuxia Lai; Guiqing Li (SIGGRAPH Asia Technical Briefs, 2017)

Temporal Coherent Video Super-resolution via Pre-frame-constrained Sparse Reconstruction. - Qiuxia Lai; Yongwei Nie; Zhensong Zhang; Hanqiu Sun (CGI, 2018)

Salient Object Detection in the Deep Learning Era: An In-Depth Survey. - Wenguan Wang; Qiuxia Lai; Huazhu Fu; Jianbing Shen; Haibin Ling (CoRR, 2019)

Human vs Machine Attention in Neural Networks: A Comparative Study. - Qiuxia Lai; Wenguan Wang; Salman H. Khan 001; Jianbing Shen; Hanqiu Sun; Ling Shao 001 (CoRR, 2019)

DeepFuse: An IMU-Aware Network for Real-Time 3D Human Pose Estimation from Multi-View Image. - Fuyang Huang; Ailing Zeng; Minhao Liu; Qiuxia Lai; Qiang Xu 001 (WACV, 2020)

T-WaveNet: Tree-Structured Wavelet Neural Network for Sensor-Based Time Series Analysis. - Minhao Liu; Ailing Zeng; Qiuxia Lai; Qiang Xu 001 (CoRR, 2020)

Video super-resolution via pre-frame constrained and deep-feature enhanced sparse reconstruction. - Qiuxia Lai; Yongwei Nie; Hanqiu Sun; Qiang Xu 001; Zhensong Zhang; Mingyu Xiao 001 (Pattern Recognit., 2020)

Video Saliency Prediction Using Spatiotemporal Residual Attentive Networks. - Qiuxia Lai; Wenguan Wang; Hanqiu Sun; Jianbing Shen (IEEE Trans. Image Process., 2020)

Multi-View Video Synopsis via Simultaneous Object-Shifting and View-Switching Optimization. - Zhensong Zhang; Yongwei Nie; Hanqiu Sun; Qing Zhang 006; Qiuxia Lai; Guiqing Li; Mingyu Xiao 001 (IEEE Trans. Image Process., 2020)

Information Bottleneck Approach to Spatial Attention Learning. - Qiuxia Lai; Yu Li 007; Ailing Zeng; Minhao Liu; Hanqiu Sun; Qiang Xu 001 (IJCAI, 2021)

TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks. - Yu Li 007; Min Li 019; Qiuxia Lai; Yannan Liu; Qiang Xu 001 (NeurIPS, 2021)

MixDefense: A Defense-in-Depth Framework for Adversarial Example Detection Based on Statistical and Semantic Analysis. - Yijun Yang; Ruiyuan Gao 001; Yu Li 007; Qiuxia Lai; Qiang Xu 001 (CoRR, 2021)

Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction. - Minhao Liu; Ailing Zeng; Qiuxia Lai; Qiang Xu 001 (CoRR, 2021)

Understanding More About Human and Machine Attention in Deep Neural Networks. - Qiuxia Lai; Salman H. Khan 001; Yongwei Nie; Hanqiu Sun; Jianbing Shen; Ling Shao 001 (IEEE Trans. Multim., 2021)

T-WaveNet: A Tree-Structured Wavelet Neural Network for Time Series Signal Analysis. - Minhao Liu; Ailing Zeng; Qiuxia Lai; Ruiyuan Gao 001; Min Li 019; Jing Qin 001; Qiang Xu 001 (ICLR, 2022)

What You See is Not What the Network Infers: Detecting Adversarial Examples Based on Semantic Contradiction. - Yijun Yang; Ruiyuan Gao 001; Yu Li 007; Qiuxia Lai; Qiang Xu 001 (NDSS, 2022)

SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction. - Minhao Liu; Ailing Zeng; Muxi Chen; Zhijian Xu; Qiuxia Lai; Lingna Ma; Qiang Xu 001 (NeurIPS, 2022)

DeepSAT: An EDA-Driven Learning Framework for SAT. - Min Li 019; Zhengyuan Shi; Qiuxia Lai; Sadaf Khan; Qiang Xu 001 (CoRR, 2022)

Salient Object Detection in the Deep Learning Era: An In-Depth Survey. - Wenguan Wang; Qiuxia Lai; Huazhu Fu; Jianbing Shen; Haibin Ling; Ruigang Yang (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Weakly Supervised Visual Saliency Prediction. - Qiuxia Lai; Tianfei Zhou; Salman H. Khan 001; Hanqiu Sun; Jianbing Shen; Ling Shao 001 (IEEE Trans. Image Process., 2022)

BIFRNet: A Brain-Inspired Feature Restoration DNN for Partially Occluded Image Recognition. - Jiahong Zhang; Lihong Cao; Qiuxia Lai; Bingyao Li; Yunxiao Qin (AAAI, 2023)

On EDA-Driven Learning for SAT Solving. - Min Li 019; Zhengyuan Shi; Qiuxia Lai; Sadaf Khan; Shaowei Cai 001; Qiang Xu 001 (DAC, 2023)

EEG-based visual stimuli classification via reusable LSTM. - Yaling Deng; Shuo Ding; Wenyi Li; Qiuxia Lai; Lihong Cao (Biomed. Signal Process. Control., 2023)

Poly Kernel Inception Network for Remote Sensing Detection. - Xinhao Cai; Qiuxia Lai; Yuwei Wang; Wenguan Wang; Zeren Sun; Yazhou Yao (CVPR, 2024)

Information Bottleneck-Inspired Spatial Attention for Robust Semantic Segmentation in Autonomous Driving. - Qiuxia Lai; Qipeng Tang (ICARCV, 2024)

Vector Quantization Prompting for Continual Learning. - Li Jiao; Qiuxia Lai; Yu Li 007; Qiang Xu 001 (NeurIPS, 2024)

Evaluating Text-to-Image Generative Models: An Empirical Study on Human Image Synthesis. - Muxi Chen; Yi Liu; Jian Yi; Changran Xu; Qiuxia Lai; Hongliang Wang; Tsung-Yi Ho; Qiang Xu 001 (CoRR, 2024)

Spatial attention for human-centric visual understanding: An Information Bottleneck method. - Qiuxia Lai; Yongwei Nie; Yu Li 007; Hanqiu Sun; Qiang Xu 001 (Comput. Vis. Image Underst., 2024)

Self-Supervised Video Representation Learning via Capturing Semantic Changes Indicated by Saccades. - Qiuxia Lai; Ailing Zeng; Ye Wang 011; Lihong Cao; Yu Li 007; Qiang Xu 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

PAMD: Plausibility-Aware Motion Diffusion Model for Long Dance Generation. - Hongsong Wang; Yin Zhu; Qiuxia Lai; Yang Zhang 002; Guo-Sen Xie; Xin Geng 001 (CoRR, 2025)

A Conditional Probability Framework for Compositional Zero-shot Learning. - Peng Wu 014; Qiuxia Lai; Hao Fang 010; Guo-Sen Xie; Yilong Yin; Xiankai Lu; Wenguan Wang (CoRR, 2025)