Peiyan Li

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2025
DTPA: Dynamic Token-level Prefix Augmentation for Controllable Text Generation.
CoRR, August, 2025

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow.
CoRR, July, 2025

BridgeVLA: Input-Output Alignment for Efficient 3D Manipulation Learning with Vision-Language Models.
CoRR, June, 2025

GR-MG: Leveraging Partially-Annotated Data via Multi-Modal Goal-Conditioned Policy.
IEEE Robotics Autom. Lett., February, 2025

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment.
CoRR, February, 2025

2024
Scalable rapid framework for evaluating network worst robustness with machine learning.
Reliab. Eng. Syst. Saf., 2024

Towards Generalist Robot Policies: What Matters in Building Vision-Language-Action Models.
CoRR, 2024

Demonstrating HumanTHOR: A Simulation Platform and Benchmark for Human-Robot Collaboration in a Shared Workspace.
CoRR, 2024

A Quick Framework for Evaluating Worst Robustness of Complex Networks.
CoRR, 2024

Leveraging Large Language Model for Heterogeneous Ad Hoc Teamwork Collaboration.
Proceedings of the Robotics: Science and Systems XX, 2024

Scalable Graph Classification via Random Walk Fingerprints.
Proceedings of the IEEE International Conference on Data Mining, 2024

2023
Robust Video Stabilization based on Motion Decomposition.
ACM Trans. Multim. Comput. Commun. Appl., 2023

Exploring High-Order Spatio-Temporal Correlations From Skeleton for Person Re-Identification.
IEEE Trans. Image Process., 2023

Influence without Authority: Maximizing Information Coverage in Hypergraphs.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Interpretable Subgraph Feature Extraction for Hyperlink Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
Random Structural Data Augmentation for Lane Detection.
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022

2021
Towards real-time demand-aware sequential POI recommendation.
Inf. Sci., 2021

FREPD: A Robust Federated Learning Framework on Variational Autoencoder.
Comput. Syst. Sci. Eng., 2021

Predicting hyperlinks via hypernetwork loop structure.
CoRR, 2021

Learning Dynamic User Behavior Based on Error-driven Event Representation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

2020
Online Semi-supervised Multi-label Classification with Label Compression and Local Smooth Regression.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Community Detection with Local Metric Learning.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Exploiting Inconsistency Problem in Multi-label Classification via Metric Learning.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
Online Budgeted Least Squares with Unlabeled Data.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018
Multi-view Discriminative Learning via Joint Non-negative Matrix Factorization.
Proceedings of the Database Systems for Advanced Applications, 2018

2017
Exploring Common and Distinct Structural Connectivity Patterns Between Schizophrenia and Major Depression via Cluster-Driven Nonnegative Matrix Factorization.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017


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