1k citations · 2.3k across the 46 of their papers we have counts for
46 papers
ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models
Yuhao Du, Yuncheng Jiang, Shuangyi Tan +5
Colonoscopy analysis, particularly automatic polyp segmentation and detection, is essential for assisting clinical diagnosis and treatment. However, as medical image annotation is…
YONA: You Only Need One Adjacent Reference-frame for Accurate and Fast Video Polyp Detection
Yuncheng Jiang, Zixun Zhang, Ruimao Zhang +3
Accurate polyp detection is essential for assisting clinical rectal cancer diagnoses. Colonoscopy videos contain richer information than still images, making them a valuable resour…
Electronic transport computation in thermoelectric materials: From ab initio scattering rates to nanostructures
Neophytos Neophytou, Pankaj Priyadarshi, Zhen Li +1
Over the last two decades a plethora of new thermoelectric materials, their alloys, and their nanostructures were synthesized. The ZT figure of merit, which quantifies the thermoel…
SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre-training
Hong Yan, Yang Liu, Yushen Wei +3
Skeleton sequence representation learning has shown great advantages for action recognition due to its promising ability to model human joints and topology. However, the current me…
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation
Wei Jin, Haitao Mao, Zheng Li +17
Modeling customer shopping intentions is a crucial task for e-commerce, as it directly impacts user experience and engagement. Thus, accurately understanding customer preferences i…
Turbulence calculation based on the extended Navier-Stokes equations
Shanwen Tan, Zhengui Li, Wangxu Li
In this study, we propose a computational method for solving the turbulence problem of incompressible viscous Newtonian fluids based on the extended Navier-Stokes (N-S) equations.…
Combining Reinforcement Learning and Barrier Functions for Adaptive Risk Management in Portfolio Optimization
Zhenglong Li, Hejun Huang, Vincent Tam
Reinforcement learning (RL) based investment strategies have been widely adopted in portfolio management (PM) in recent years. Nevertheless, most RL-based approaches may often emph…
Small Total-Cost Constraints in Contextual Bandits with Knapsacks, with Application to Fairness
Evgenii Chzhen, Christophe Giraud, Zhen Li +1
We consider contextual bandit problems with knapsacks [CBwK], a problem where at each round, a scalar reward is obtained and vector-valued costs are suffered. The learner aims to m…
Differential Convolutional Fuzzy Time Series Forecasting
Tianxiang Zhan, Yuanpeng He, Yong Deng +1
Fuzzy time series forecasting (FTSF) is a typical forecasting method with wide application. Traditional FTSF is regarded as an expert system which leads to loss of the ability to r…
AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation
Zhen Li, Zuo-Liang Zhu, Ling-Hao Han +3
We present All-Pairs Multi-Field Transforms (AMT), a new network architecture for video frame interpolation. It is based on two essential designs. First, we build bidirectional cor…
Fair-CDA: Continuous and Directional Augmentation for Group Fairness
Rui Sun, Fengwei Zhou, Zhenhua Dong +6
In this work, we propose {\it Fair-CDA}, a fine-grained data augmentation strategy for imposing fairness constraints. We use a feature disentanglement method to extract the feature…
SRFormerV2: Taking a Closer Look at Permuted Self-Attention for Image Super-Resolution
Yupeng Zhou, Zhen Li, Chun-Le Guo +3
Previous works have shown that increasing the window size for Transformer-based image super-resolution models (e.g., SwinIR) can significantly improve the model performance. Still,…
DOSnet as a Non-Black-Box PDE Solver: When Deep Learning Meets Operator Splitting
Yuan Lan, Zhen Li, Jie Sun +1
Deep neural networks (DNNs) recently emerged as a promising tool for analyzing and solving complex differential equations arising in science and engineering applications. Alternati…
BoxPolyp:Boost Generalized Polyp Segmentation Using Extra Coarse Bounding Box Annotations
Jun Wei, Yiwen Hu, Guanbin Li +3
Accurate polyp segmentation is of great importance for colorectal cancer diagnosis and treatment. However, due to the high cost of producing accurate mask annotations, existing pol…
Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning
Ziyi Zhang, Weikai Chen, Hui Cheng +4
We investigate a practical domain adaptation task, called source-free domain adaptation (SFUDA), where the source-pretrained model is adapted to the target domain without access to…
Designing An Illumination-Aware Network for Deep Image Relighting
Zuo-Liang Zhu, Zhen Li, Rui-Xun Zhang +2
Lighting is a determining factor in photography that affects the style, expression of emotion, and even quality of images. Creating or finding satisfying lighting conditions, in re…
Barrier Certified Safety Learning Control: When Sum-of-Square Programming Meets Reinforcement Learning
Hejun Huang, Zhenglong Li, Dongkun Han
Safety guarantee is essential in many engineering implementations. Reinforcement learning provides a useful way to strengthen safety. However, reinforcement learning algorithms can…
Contextual Bandits with Knapsacks for a Conversion Model
Zhen Li, Gilles Stoltz
We consider contextual bandits with knapsacks, with an underlying structure between rewards generated and cost vectors suffered. We do so motivated by sales with commercial discoun…
Towards An End-to-End Framework for Flow-Guided Video Inpainting
Zhen Li, Cheng-Ze Lu, Jianhua Qin +2
Optical flow, which captures motion information across frames, is exploited in recent video inpainting methods through propagating pixels along its trajectories. However, the hand-…
Narvis: Authoring Narrative Slideshows for Introducing Data Visualization Designs
Qianwen Wang, Zhen Li, Siwei Fu +2
Visual designs can be complex in modern data visualization systems, which poses special challenges for explaining them to the non-experts. However, few if any presentation tools ar…
Note on Thompson sampling for large decision problems
Tao Hu, Eric B. Laber, Zhen Li +2
There is increasing interest in using streaming data to inform decision making across a wide range of application domains including mobile health, food safety, security, and resour…
Feedback Network for Image Super-Resolution
Zhen Li, Jinglei Yang, Zheng Liu +3
Recent advances in image super-resolution (SR) explored the power of deep learning to achieve a better reconstruction performance. However, the feedback mechanism, which commonly e…
Graph-RISE: Graph-Regularized Image Semantic Embedding
Da-Cheng Juan, Chun-Ta Lu, Zhen Li +7
Learning image representations to capture fine-grained semantics has been a challenging and important task enabling many applications such as image search and clustering. In this p…
Thompson Sampling for Pursuit-Evasion Problems
Zhen Li, Nicholas J. Meyer, Eric B. Laber +1
Pursuit-evasion is a multi-agent sequential decision problem wherein a group of agents known as pursuers coordinate their traversal of a spatial domain to locate an agent trying to…