Search Results for author: Jiayi Li

Found 25 papers, 5 papers with code

Inside the echo chamber: Linguistic underpinnings of misinformation on Twitter

no code implementations24 Apr 2024 Xinyu Wang, Jiayi Li, Sarah Rajtmajer

Social media users drive the spread of misinformation online by sharing posts that include erroneous information or commenting on controversial topics with unsubstantiated arguments often in earnest.


Progressive Knowledge Graph Completion

no code implementations15 Apr 2024 Jiayi Li, Ruilin Luo, Jiaqi Sun, Jing Xiao, Yujiu Yang

In this paper, we investigate three crucial processes relevant to real-world construction scenarios: (a) the verification process, which arises from the necessity and limitations of human verifiers; (b) the mining process, which identifies the most promising candidates for verification; and (c) the training process, which harnesses verified data for subsequent utilization; in order to achieve a transition toward more realistic challenges.

Link Prediction Triple Classification

Agile and versatile bipedal robot tracking control through reinforcement learning

no code implementations12 Apr 2024 Jiayi Li, Linqi Ye, Yi Cheng, Houde Liu, Bin Liang

Finally, we evaluate the tracking accuracy of our controller on various bipedal tasks, and the effectiveness of our control framework is verified in the simulation environment.


Geometry of Polynomial Neural Networks

no code implementations1 Feb 2024 Kaie Kubjas, Jiayi Li, Maximilian Wiesmann

The dimension serves as a geometric measure for the expressivity of the network, the learning degree is a measure for the complexity of training the network and provides upper bounds on the number of learnable functions.

Multi-scale 2D Temporal Map Diffusion Models for Natural Language Video Localization

no code implementations16 Jan 2024 Chongzhi Zhang, Mingyuan Zhang, Zhiyang Teng, Jiayi Li, Xizhou Zhu, Lewei Lu, Ziwei Liu, Aixin Sun

Our method involves the direct generation of a global 2D temporal map via a conditional denoising diffusion process, based on the input video and language query.

Decoder Denoising +1

Chain of History: Learning and Forecasting with LLMs for Temporal Knowledge Graph Completion

no code implementations11 Jan 2024 Ruilin Luo, Tianle Gu, Haoling Li, Junzhe Li, Zicheng Lin, Jiayi Li, Yujiu Yang

Temporal Knowledge Graph Completion (TKGC) is a complex task involving the prediction of missing event links at future timestamps by leveraging established temporal structural knowledge.

Data Augmentation Link Prediction +1

GBSS:a global building semantic segmentation dataset for large-scale remote sensing building extraction

no code implementations2 Jan 2024 Yuping Hu, Xin Huang, Jiayi Li, Zhen Zhang

Semantic segmentation techniques for extracting building footprints from high-resolution remote sensing images have been widely used in many fields such as urban planning.

Segmentation Semantic Segmentation +1

Benchmarking Multi-Domain Active Learning on Image Classification

no code implementations1 Dec 2023 Jiayi Li, Rohan Taori, Tatsunori B. Hashimoto

Active learning aims to enhance model performance by strategically labeling informative data points.

Active Learning Benchmarking +2

Prior Bilinear Based Models for Knowledge Graph Completion

1 code implementation25 Sep 2023 Jiayi Li, Ruilin Luo, Jiaqi Sun, Jing Xiao, Yujiu Yang

Bilinear based models are powerful and widely used approaches for Knowledge Graphs Completion (KGC).

Accelerating Diffusion Models for Inverse Problems through Shortcut Sampling

1 code implementation26 May 2023 Gongye Liu, Haoze Sun, Jiayi Li, Fei Yin, Yujiu Yang

To derive the transitional state during the forward process, we introduce Distortion Adaptive Inversion.

Colorization Deblurring +1

Recouple Event Field via Probabilistic Bias for Event Extraction

no code implementations19 May 2023 Xingyu Bai, Taiqiang Wu, Han Guo, Zhe Zhao, Xuefeng Yang, Jiayi Li, Weijie Liu, Qi Ju, Weigang Guo, Yujiu Yang

Event Extraction (EE), aiming to identify and classify event triggers and arguments from event mentions, has benefited from pre-trained language models (PLMs).

Event Extraction

H2TF for Hyperspectral Image Denoising: Where Hierarchical Nonlinear Transform Meets Hierarchical Matrix Factorization

no code implementations21 Apr 2023 Jiayi Li, Jinyu Xie, YiSi Luo, XiLe Zhao, Jianli Wang

In the t-SVD, there are two key building blocks: (i) the low-rank enhanced transform and (ii) the accompanying low-rank characterization of transformed frontal slices.

Hyperspectral Image Denoising Image Denoising

STaR: Knowledge Graph Embedding by Scaling, Translation and Rotation

no code implementations15 Feb 2022 Jiayi Li, Yujiu Yang

Therefore, we propose a corresponding bilinear model Scaling Translation and Rotation (STaR) consisting of the above two parts.

Knowledge Graph Embedding Link Prediction +1

Extremal Analysis of Flooding Risk and Management

no code implementations1 Dec 2021 Chengxiu Ling, Jiayi Li, Yixuan Liu, Zhiyan Cai

Catastrophic losses caused by natural disasters receive a growing concern about the severe rise in magnitude and frequency.


Decentralized Safe Reinforcement Learning for Voltage Control

no code implementations3 Oct 2021 Wenqi Cui, Jiayi Li, Baosen Zhang

We explicitly engineer the structure of neural network controllers such that they satisfy the Lipschitz constraints by design.

reinforcement-learning Reinforcement Learning (RL) +1

Meta-Imitation Learning by Watching Video Demonstrations

no code implementations ICLR 2022 Jiayi Li, Tao Lu, Xiaoge Cao, Yinghao Cai, Shuo Wang

Our approach relies only on human videos and does not require robot demonstration, which facilitates data collection and is more in line with human imitation behavior.

Imitation Learning

ACDER: Augmented Curiosity-Driven Experience Replay

no code implementations16 Nov 2020 Boyao Li, Tao Lu, Jiayi Li, Ning Lu, Yinghao Cai, Shuo Wang

Exploration in environments with sparse feedback remains a challenging research problem in reinforcement learning (RL).

FetchPush-v1 Reinforcement Learning (RL)

Geometric algorithms for predicting resilience and recovering damage in neural networks

no code implementations23 May 2020 Guruprasad Raghavan, Jiayi Li, Matt Thomson

Biological neural networks have evolved to maintain performance despite significant circuit damage.

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