Search Results for author: Fan Li

Found 43 papers, 13 papers with code

Fine-grained Dynamic Network for Generic Event Boundary Detection

no code implementations5 Jul 2024 Ziwei Zheng, Lijun He, Le Yang, Fan Li

Generic event boundary detection (GEBD) aims at pinpointing event boundaries naturally perceived by humans, playing a crucial role in understanding long-form videos.

Boundary Detection Generic Event Boundary Detection

DyFADet: Dynamic Feature Aggregation for Temporal Action Detection

1 code implementation3 Jul 2024 Le Yang, Ziwei Zheng, Yizeng Han, Hao Cheng, Shiji Song, Gao Huang, Fan Li

Based on DFA, the proposed dynamic encoder layer aggregates the temporal features within the action time ranges and guarantees the discriminability of the extracted representations.

Action Detection Temporal Action Localization

LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought

no code implementations9 May 2024 Zhuoxuan Jiang, Haoyuan Peng, Shanshan Feng, Fan Li, Dongsheng Li

Self-correction is emerging as a promising approach to mitigate the issue of hallucination in Large Language Models (LLMs).

Hallucination Math +2

Hypergraph Self-supervised Learning with Sampling-efficient Signals

1 code implementation18 Apr 2024 Fan Li, Xiaoyang Wang, Dawei Cheng, Wenjie Zhang, Ying Zhang, Xuemin Lin

Self-supervised learning (SSL) provides a promising alternative for representation learning on hypergraphs without costly labels.

Representation Learning Self-Supervised Learning

MMVP: A Multimodal MoCap Dataset with Vision and Pressure Sensors

no code implementations CVPR 2024 He Zhang, Shenghao Ren, Haolei Yuan, Jianhui Zhao, Fan Li, Shuangpeng Sun, Zhenghao Liang, Tao Yu, Qiu Shen, Xun Cao

To validate the dataset, we propose an RGBD-P SMPL fitting method and also a monocular-video-based baseline framework, VP-MoCap, for human motion capture.

Translation

Simplified Self-homodyne Coherent System Based on Alamouti Coding and Digital Subcarrier Multiplexing

no code implementations18 Mar 2024 Wei Wang, Dongdong Zou, Zhenpeng Wu, Qi Sui, Xingwen Yi, Fan Li, Chao Lu, Zhaohui Li

Coherent technology inherent with more availabledegrees of freedom is deemed a competitive solution for nextgeneration ultra-high-speed short-reach optical interconnects. However, the fatal barriers to implementing the conventiona. coherent system in short-reach optical interconnect are the costfootprint, and power consumption.

Multi-Fidelity Methods for Optimization: A Survey

no code implementations15 Feb 2024 Ke Li, Fan Li

Real-world black-box optimization often involves time-consuming or costly experiments and simulations.

Benchmarking Computational Efficiency +2

A flexible Bayesian g-formula for causal survival analyses with time-dependent confounding

no code implementations4 Feb 2024 Xinyuan Chen, Liangyuan Hu, Fan Li

In longitudinal observational studies with a time-to-event outcome, a common objective in causal analysis is to estimate the causal survival curve under hypothetical intervention scenarios within the study cohort.

Causal Inference Dimensionality Reduction +1

Inverting estimating equations for causal inference on quantiles

no code implementations2 Jan 2024 Chao Cheng, Fan Li

We assume that an identifying moment function is available to identify the mean of the threshold-transformed potential outcome, based on which a convenient construction of the estimating equation of quantiles of potential outcome is proposed.

Causal Inference

A Survey of Blockchain, Artificial Intelligence, and Edge Computing for Web 3.0

no code implementations22 Nov 2023 Jianjun Zhu, Fan Li, Jinyuan Chen

Web 3. 0, as the third generation of the World Wide Web, aims to solve contemporary problems of trust, centralization, and data ownership.

Edge-computing

InvKA: Gait Recognition via Invertible Koopman Autoencoder

no code implementations26 Sep 2023 Fan Li, Dong Liang, Jing Lian, Qidong Liu, Hegui Zhu, Jizhao Liu

Most current gait recognition methods suffer from poor interpretability and high computational cost.

Gait Recognition

Identification and multiply robust estimation in causal mediation analysis across principal strata

no code implementations20 Apr 2023 Chao Cheng, Fan Li

We consider assessing causal mediation in the presence of a post-treatment event (examples include noncompliance, a clinical event, or a terminal event).

Theoretical Evaluation of the Capacity-Achieving Distribution for IM-DD Fiber-Optic Channels

no code implementations23 Feb 2023 Dongdong Zou, Wei Wang, Sui Qi, Fan Li, Zhaohui Li

For the IM-DD system under peak power constraint (PPC), a dynamic-assignment BA algorithm is applied to find the capacity-achieving distribution with minimum cardinality.

A Probabilistic Generative Model for Tracking Multi-Knowledge Concept Mastery Probability

no code implementations17 Feb 2023 Hengyu Liu, Tiancheng Zhang, Fan Li, Minghe Yu, Ge Yu

To better model students' exercise responses, we proposed a logarithmic linear model with three interactive strategies, which models students' exercise responses by considering the relationship among students' knowledge status, knowledge concept, and problems.

Knowledge Tracing

Overlapping oriented imbalanced ensemble learning method based on projective clustering and stagewise hybrid sampling

no code implementations30 Nov 2022 Fan Li, Bo wang, Pin Wang, Yongming Li

Secondly, according to the characteristics of subset classes, a stage-wise hybrid sampling algorithm is designed to realize the de-overlapping and balancing of subsets.

Clustering Ensemble Learning +1

Person Text-Image Matching via Text-Feature Interpretability Embedding and External Attack Node Implantation

1 code implementation16 Nov 2022 Fan Li, Hang Zhou, Huafeng Li, Yafei Zhang, Zhengtao Yu

Specifically, we improve the interpretability of text features by providing them with consistent semantic information with image features to achieve the alignment of text and describe image region features. To address the challenges posed by the diversity of text and the corresponding person images, we treat the variation caused by diversity to features as caused by perturbation information and propose a novel adversarial attack and defense method to solve it.

Adversarial Attack Diversity +2

A new Stack Autoencoder: Neighbouring Sample Envelope Embedded Stack Autoencoder Ensemble Model

no code implementations25 Oct 2022 Chuanyan Zhou, Jie Ma, Fan Li, Yongming Li, Pin Wang, Xiaoheng Zhang

Second, an embedded stack autoencoder (ESAE) is proposed and trained in each layer of sample space to consider the original samples during training and in the network structure, thereby better finding the relationship between original feature samples and deep feature samples.

Envelope imbalanced ensemble model with deep sample learning and local-global structure consistency

no code implementations25 Jun 2022 Fan Li, Xiaoheng Zhang, Yongming Li, Pin Wang

Based on the analysis above, an imbalanced ensemble algorithm with the deep sample pre-envelope network (DSEN) and local-global structure consistency mechanism (LGSCM) is proposed here to solve the problem. This algorithm can guarantee high-quality deep envelope samples for considering the local manifold and global structures information, which is helpful for imbalance learning.

Ensemble Learning

CADG: A Model Based on Cross Attention for Domain Generalization

no code implementations31 Mar 2022 Cheng Dai, Yingqiao Lin, Fan Li, Xiyao Li, Donglin Xie

In Domain Generalization (DG) tasks, models are trained by using only training data from the source domains to achieve generalization on an unseen target domain, this will suffer from the distribution shift problem.

Domain Generalization

Subject Enveloped Deep Sample Fuzzy Ensemble Learning Algorithm of Parkinson's Speech Data

no code implementations17 Nov 2021 Yiwen Wang, Fan Li, Xiaoheng Zhang, Pin Wang, Yongming Li

Therefore, it is necessary to reconstruct the existing large segments within one subject into few segments even one segment within one subject, which can facilitate the extraction of relevant speech features to characterize diagnostic markers for the whole subject.

Ensemble Learning speech-recognition +1

Hölder Bounds for Sensitivity Analysis in Causal Reasoning

no code implementations9 Jul 2021 Serge Assaad, Shuxi Zeng, Henry Pfister, Fan Li, Lawrence Carin

We examine interval estimation of the effect of a treatment T on an outcome Y given the existence of an unobserved confounder U.

Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization

1 code implementation2 Jul 2021 Qing Guo, Junya Chen, Dong Wang, Yuewei Yang, Xinwei Deng, Lawrence Carin, Fan Li, Jing Huang, Chenyang Tao

Successful applications of InfoNCE and its variants have popularized the use of contrastive variational mutual information (MI) estimators in machine learning.

Mutual Information Estimation

Are deep learning models superior for missing data imputation in large surveys? Evidence from an empirical comparison

1 code implementation14 Mar 2021 Zhenhua Wang, Olanrewaju Akande, Jason Poulos, Fan Li

We conduct extensive simulation studies based on a subsample of the American Community Survey to compare the repeated sampling properties of four machine learning based MI methods: MICE with classification trees, MICE with random forests, generative adversarial imputation networks, and multiple imputation using denoising autoencoders.

Denoising Imputation

Integrated Age Estimation Mechanism

no code implementations11 Mar 2021 Fan Li, Yongming Li, Pin Wang, Jie Xiao, Fang Yan, Xinke Li

Traditional age estimation mechanism focuses estimation age error, but ignores that there is a deviation between the estimated age and real age due to disease.

Age Estimation

Generalizing trial evidence to target populations in non-nested designs: Applications to AIDS clinical trials

no code implementations8 Mar 2021 Fan Li, Ashley L. Buchanan, Stephen R. Cole

Motivated by the need to generalize evidence from two trials conducted in the AIDS Clinical Trials Group (ACTG), we consider weighting, regression and doubly robust estimators to estimate the causal effects of HIV interventions in a specified population of people living with HIV in the USA.

Methodology Applications

QoE-driven Secure Video Transmission in Cloud-edge Collaborative Networks

no code implementations5 Jan 2021 Tantan Zhao, Lijun He, Xinyu Huang, Fan Li

In this paper, by considering the interaction between video encoding and edge caching, we investigate the quality of experience (QoE)-driven cross-layer optimization of secure video transmission over the wireless backhaul link in cloud-edge collaborative networks.

Multimedia

Reconsidering Generative Objectives For Counterfactual Reasoning

1 code implementation NeurIPS 2020 Danni Lu, Chenyang Tao, Junya Chen, Fan Li, Feng Guo, Lawrence Carin

As a step towards more flexible, scalable and accurate ITE estimation, we present a novel generative Bayesian estimation framework that integrates representation learning, adversarial matching and causal estimation.

Causal Inference counterfactual +2

STCNet: Spatio-Temporal Cross Network for Industrial Smoke Detection

2 code implementations10 Nov 2020 Yichao Cao, Qingfei Tang, Xiaobo Lu, Fan Li, Jinde Cao

To overcome these problems, a novel Spatio-Temporal Cross Network (STCNet) is proposed to recognize industrial smoke emissions.

Counterfactual Representation Learning with Balancing Weights

no code implementations23 Oct 2020 Serge Assaad, Shuxi Zeng, Chenyang Tao, Shounak Datta, Nikhil Mehta, Ricardo Henao, Fan Li, Lawrence Carin

A key to causal inference with observational data is achieving balance in predictive features associated with each treatment type.

Causal Inference counterfactual +1

Revenue and Energy Efficiency-Driven Delay Constrained Computing Task Offloading and Resource Allocation in a Vehicular Edge Computing Network: A Deep Reinforcement Learning Approach

no code implementations16 Oct 2020 Xinyu Huang, Lijun He, Xing Chen, Liejun Wang, Fan Li

In this paper, we propose a joint task type and vehicle speed-aware task offloading and resource allocation strategy to decrease the vehicl's energy cost for executing tasks and increase the revenue of the vehicle for processing tasks within the delay constraint.

Edge-computing

Double Robust Representation Learning for Counterfactual Prediction

1 code implementation15 Oct 2020 Shuxi Zeng, Serge Assaad, Chenyang Tao, Shounak Datta, Lawrence Carin, Fan Li

Causal inference, or counterfactual prediction, is central to decision making in healthcare, policy and social sciences.

Causal Inference counterfactual +2

Estimating heterogeneous survival treatment effect in observational data using machine learning

1 code implementation17 Aug 2020 Liangyuan Hu, Jiayi Ji, Fan Li

Methods for estimating heterogeneous treatment effect in observational data have largely focused on continuous or binary outcomes, and have been relatively less vetted with survival outcomes.

BIG-bench Machine Learning Causal Inference +1

Learning Consistency Pursued Correlation Filters for Real-Time UAV Tracking

no code implementations9 Aug 2020 Changhong Fu, Xiaoxiao Yang, Fan Li, Juntao Xu, Changjing Liu, Peng Lu

By minimizing the difference between the practical and the scheduled ideal consistency map, the consistency level is constrained to maintain temporal smoothness, and rich temporal information contained in response maps is introduced.

Visual Object Tracking

Deep Double-Side Learning Ensemble Model for Few-Shot Parkinson Speech Recognition

no code implementations20 Jun 2020 Yongming Li, Lang Zhou, Lingyun Qin, Yuwei Zeng, Yuchuan Liu, Yan Lei, Pin Wang, Fan Li

To solve these two problems, based on the existing Parkinson speech feature data set, a deep double-side learning ensemble model is designed in this paper that can reconstruct speech features and samples deeply and simultaneously.

Clustering Ensemble Learning +4

WasteNet: Waste Classification at the Edge for Smart Bins

no code implementations10 Jun 2020 Gary White, Christian Cabrera, Andrei Palade, Fan Li, Siobhan Clarke

In this paper, we propose WasteNet, a waste classification model based on convolutional neural networks that can be deployed on a low power device at the edge of the network, such as a Jetson Nano.

Classification General Classification

Training-Set Distillation for Real-Time UAV Object Tracking

1 code implementation11 Mar 2020 Fan Li, Changhong Fu, Fuling Lin, Yiming Li, Peng Lu

After the establishment of a new slot, the weighted fusion of the previous samples generates one key-sample, in order to reduce the number of samples to be scored.

Object Visual Object Tracking

Distributed Equivalent Substitution Training for Large-Scale Recommender Systems

no code implementations10 Sep 2019 Haidong Rong, Yangzihao Wang, Feihu Zhou, Junjie Zhai, Haiyang Wu, Rui Lan, Fan Li, Han Zhang, Yuekui Yang, Zhenyu Guo, Di Wang

We present Distributed Equivalent Substitution (DES) training, a novel distributed training framework for large-scale recommender systems with dynamic sparse features.

Recommendation Systems

The Liver Tumor Segmentation Benchmark (LiTS)

6 code implementations13 Jan 2019 Patrick Bilic, Patrick Christ, Hongwei Bran Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivantik, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Míriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Gruen, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John Lowengrub, Jun Ma, Klaus Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yu, Liping Zhang, Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern Menze

In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LiTS), which was organized in conjunction with the IEEE International Symposium on Biomedical Imaging (ISBI) 2017 and the International Conferences on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2017 and 2018.

Benchmarking Computed Tomography (CT) +3

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