Qidong Liu

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

Bibliography

2025
Multimodal Recommender Systems: A Survey.
ACM Comput. Surv., February, 2025

2024
Novel Optical Modulator Photonic Device Based on TiN/Ti3C2 Heterojunction.
Sensors, August, 2024

Aspect-Aware Graph Attention Network for Heterogeneous Information Networks.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

Attack Resilient Fault Tolerant Control for T-S Fuzzy Cyber-Physical Systems.
IEEE Trans. Fuzzy Syst., April, 2024

Predictor-Based Neural Attitude Control of A Quadrotor With Disturbances.
IEEE Trans. Ind. Informatics, January, 2024

GPRec: Bi-level User Modeling for Deep Recommenders.
CoRR, 2024

Large Language Model Empowered Embedding Generator for Sequential Recommendation.
CoRR, 2024

Bidirectional Gated Mamba for Sequential Recommendation.
CoRR, 2024

Logic Distillation: Learning from Code Function by Function for Planning and Decision-making.
CoRR, 2024

Improving Large Models with Small models: Lower Costs and Better Performance.
CoRR, 2024

Large Language Models Enhanced Sequential Recommendation for Long-tail User and Item.
CoRR, 2024

M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework.
CoRR, 2024

Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models.
CoRR, 2024

Large Language Model Distilling Medication Recommendation Model.
CoRR, 2024

M<sup>3</sup>oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2D-Ptr: 2D Array Pointer Network for Solving the Heterogeneous Capacitated Vehicle Routing Problem.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
Collision-Free and Connectivity-Preserving Formation Control of Nonlinear Multi-Agent Systems With External Disturbances.
IEEE Trans. Veh. Technol., August, 2023

Bipartite Time-Varying Prescribed Range Formation Control for a Class of Nonlinear Multiagent Systems With Unknown Disturbances.
IEEE Syst. J., June, 2023

Disentangling interest and conformity for eliminating popularity bias in session-based recommendation.
Knowl. Inf. Syst., June, 2023

Fault Detection for Unmanned Marine Vehicles Under Replay Attack.
IEEE Trans. Fuzzy Syst., May, 2023

Learning rules in spiking neural networks: A survey.
Neurocomputing, April, 2023

M2GCN: multi-modal graph convolutional network for modeling polypharmacy side effects.
Appl. Intell., March, 2023

A novel ensemble model with two-stage learning for joint dialog act recognition and sentiment classification.
Pattern Recognit. Lett., January, 2023

Predictor-Based Neural Dynamic Surface Control for Strict-Feedback Nonlinear Systems With Unknown Control Gains.
IEEE Trans. Cybern., 2023

Distributed secure consensus control of nonlinear multi-agent systems under sensor and actuator attacks.
J. Frankl. Inst., 2023

MOELoRA: An MOE-based Parameter Efficient Fine-Tuning Method for Multi-task Medical Applications.
CoRR, 2023

InvKA: Gait Recognition via Invertible Koopman Autoencoder.
CoRR, 2023

Multimodal Recommender Systems: A Survey.
CoRR, 2023


PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

STRec: Sparse Transformer for Sequential Recommendations.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Trustworthy Recommender Systems: Foundations and Frontiers.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Unknown Input Interval Observer Based Attack Tolerant State Estimation for Fuzzy CPSs.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Diffusion Augmentation for Sequential Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Predictor-Based Neural Dynamic Surface Control for Bipartite Tracking of a Class of Nonlinear Multiagent Systems.
IEEE Trans. Neural Networks Learn. Syst., 2022

TriATNE: Tripartite Adversarial Training for Network Embeddings.
IEEE Trans. Cybern., 2022

Predictor-Based Neural Dynamic Surface Control of a Nontriangular System With Unknown Disturbances.
IEEE Trans. Circuits Syst. I Regul. Pap., 2022

The Butterfly Effect in Primary Visual Cortex.
IEEE Trans. Computers, 2022

A Comprehensive Survey on Trustworthy Recommender Systems.
CoRR, 2022

Fast Object Annotation in Point Clouds Aided by 3D Reconstruction.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

An object detection method from 3D point clouds based on seed filtering.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

Bribery in Rating Systems: A Game-Theoretic Perspective.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Focal and Global Spatial-Temporal Transformer for Skeleton-Based Action Recognition.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
Neural network-based reliable $H_{\infty}$ filtering in finite frequency domain for nonlinear Markov jump system.
Proceedings of the 2021 International Conference on Security, 2021

Spatio-Temporal Multi-Scale Convolutional Network for Traffic Forecasting.
Proceedings of the ICCDE 2021: 7th International Conference on Computing and Data Engineering, Phuket, Thailand, January 15, 2021

2020
Learning Network Representations With Different Order Structural Information.
IEEE Trans. Comput. Soc. Syst., 2020

Secure bipartite tracking control of a class of nonlinear multi-agent systems with nonsymmetric input constraint against sensor attacks.
Inf. Sci., 2020

A New Representation Learning Method for Individual Treatment Effect Estimation: Split Covariate Representation Network.
Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019
A novel clustering algorithm based on PageRank and minimax similarity.
Neural Comput. Appl., 2019

An improved path-based clustering algorithm.
Knowl. Based Syst., 2019

Bribery in Rating System: A Game-Theoretic Perspective.
CoRR, 2019

Global Optimal Path-Based Clustering Algorithm.
CoRR, 2019

A Behavior-Item Based Hybrid Intention-Aware Frame for Sequence Recommendation.
Proceedings of the Advances in E-Business Engineering for Ubiquitous Computing, 2019

2018
Robust MST-Based Clustering Algorithm.
Neural Comput., 2018

2015
An Improved Fast Search Clustering Algorithm Based on Kernel Density.
Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015

2014
Collaborative Filtering for Recommender Systems.
Proceedings of the Second International Conference on Advanced Cloud and Big Data, 2014


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