Yu Yang

Orcid: 0000-0002-8209-2898

Affiliations:
  • City University of Hong Kong, School of Data Science, Hong Kong
  • Simon Fraser University, Burnaby, Canada (PhD 2019)
  • University of Science and Technology of China, Hefei, China (former)


According to our database1, Yu Yang authored at least 70 papers between 2012 and 2026.

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Timeline

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Bibliography

2026
SPIKE: An Adaptive Dual Controller Framework for Cost-Efficient Long-Horizon Game Agents.
CoRR, May, 2026

Uncovering Hidden Social Connections in Lawsuit Activities by Learning Over Knowledge Graph.
IEEE Trans. Comput. Soc. Syst., April, 2026

SPIRAL: A Closed-Loop Framework for Self-Improving Action World Models via Reflective Planning Agents.
CoRR, March, 2026

Spatio-temporal traffic accidents detection via graph based generative adversarial network.
Eng. Appl. Artif. Intell., 2026

2025
Vision-Centric 4D Occupancy Forecasting and Planning via Implicit Residual World Models.
CoRR, October, 2025

O<sup>2</sup>-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering.
CoRR, May, 2025

DQFormer: Toward Unified LiDAR Panoptic Segmentation With Decoupled Queries for Large-Scale Outdoor Scenes.
IEEE Trans. Geosci. Remote. Sens., 2025

3-D Point-Guided Aerial-Ground Image Matching for Robust Multiview Reconstruction.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

An efficient continuous control perspective for reinforcement-learning-based sequential recommendation.
Knowl. Based Syst., 2025

Graph convolutional network for traffic incidents duration classification.
Eng. Appl. Artif. Intell., 2025

Unanticipated Replenishment: Online Policy for Dynamic Service Composition in Manufacturing Cloud.
Proceedings of the 2025 SIAM International Conference on Data Mining, 2025

X-Scene: Large-Scale Driving Scene Generation with High Fidelity and Flexible Controllability.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Lossless Set Compression by Binary Tree Coding.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Near-Optimal Online Learning for Multi-Agent Submodular Coordination: Tight Approximation and Communication Efficiency.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Adversarial Attack and Defense on Discrete Time Dynamic Graphs.
IEEE Trans. Knowl. Data Eng., December, 2024

A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over Graphs.
Proc. VLDB Endow., July, 2024

Learning spatiotemporal relationships with a unified framework for video object segmentation.
Appl. Intell., April, 2024

Dynamic Assortment Selection Under Inventory and Limited Switches Constraints.
IEEE Trans. Knowl. Data Eng., March, 2024

Camera-Based 3D Semantic Scene Completion With Sparse Guidance Network.
IEEE Trans. Image Process., 2024

LiDAR video object segmentation with dynamic kernel refinement.
Pattern Recognit. Lett., 2024

Dynamic cloud manufacturing service composition with re-entrant services: an online policy perspective.
Int. J. Prod. Res., 2024

DQFormer: Towards Unified LiDAR Panoptic Segmentation with Decoupled Queries.
CoRR, 2024

Boosting Gradient Ascent for Continuous DR-submodular Maximization.
CoRR, 2024

Efficient LTE Backscatter with Uncontrolled Ambient Traffic.
Proceedings of the IEEE INFOCOM 2024, 2024

Exploit Spatiotemporal Contextual Information for 3D Single Object Tracking via Memory Networks.
Proceedings of the International Conference on 3D Vision, 2024

2023
An Empirical Study of User Engagement in Influencer Marketing on Weibo and WeChat.
IEEE Trans. Comput. Soc. Syst., December, 2023

Multi-Dimension Compression of Feed-Forward Network in Vision Transformers.
Pattern Recognit. Lett., December, 2023

Exploiting semantic-level affinities with a mask-guided network for temporal action proposal in videos.
Appl. Intell., June, 2023

Fast Real-Time Video Object Segmentation with a Tangled Memory Network.
ACM Trans. Intell. Syst. Technol., 2023

Camera-based 3D Semantic Scene Completion with Sparse Guidance Network.
CoRR, 2023

CenterLPS: Segment Instances by Centers for LiDAR Panoptic Segmentation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Ambient Backscatter with a Single Commodity AP.
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

SSC-RS: Elevate LiDAR Semantic Scene Completion with Representation Separation and BEV Fusion.
IROS, 2023

PANet: LiDAR Panoptic Segmentation with Sparse Instance Proposal and Aggregation.
IROS, 2023

Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite Requests.
Proceedings of the International Conference on Machine Learning, 2023

Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Online Learning for Non-monotone DR-Submodular Maximization: From Full Information to Bandit Feedback.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Online Learning for Non-monotone Submodular Maximization: From Full Information to Bandit Feedback.
CoRR, 2022

MNL-Bandits under Inventory and Limited Switches Constraints.
CoRR, 2022

Continuous Submodular Maximization: Boosting via Non-oblivious Function.
CoRR, 2022

Just-in-time single-batch-processing machine scheduling.
Comput. Oper. Res., 2022

Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function.
Proceedings of the International Conference on Machine Learning, 2022

2021
Influence Analysis in Evolving Networks: A Survey.
IEEE Trans. Knowl. Data Eng., 2021

Unconstrained Submodular Maximization with Modular Costs: Tight Approximation and Application to Profit Maximization.
Proc. VLDB Endow., 2021

Comprehensible Counterfactual Explanation on Kolmogorov-Smirnov Test.
Proc. VLDB Endow., 2021

Representation Learning for Predicting Customer Orders.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Continuous Influence Maximization.
ACM Trans. Knowl. Discov. Data, 2020

Comprehensible Counterfactual Interpretation on Kolmogorov-Smirnov Test.
CoRR, 2020

2019
Online Density Bursting Subgraph Detection from Temporal Graphs.
Proc. VLDB Endow., 2019

Finding Theme Communities from Database Networks.
Proc. VLDB Endow., 2019

Tracking Top-k Influential Users with Relative Errors.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Influence efficiency maximization: How can we spread information efficiently?
J. Comput. Sci., 2018

Tracking Top-K Influential Vertices in Dynamic Networks.
CoRR, 2018

Mining Density Contrast Subgraphs.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017
Tracking Influential Individuals in Dynamic Networks.
IEEE Trans. Knowl. Data Eng., 2017

Activity Maximization by Effective Information Diffusion in Social Networks.
IEEE Trans. Knowl. Data Eng., 2017

An Influence Propagation View of PageRank.
ACM Trans. Knowl. Discov. Data, 2017

Measuring in-network node similarity based on neighborhoods: a unified parametric approach.
Knowl. Inf. Syst., 2017

Finding Theme Communities from Database Networks: from Mining to Indexing and Query Answering.
CoRR, 2017

2016
Tracking Influential Nodes in Dynamic Networks.
CoRR, 2016

Activity Maximization by Effective Information Diffusion in Social Networks.
CoRR, 2016

Continuous Influence Maximization: What Discounts Should We Offer to Social Network Users?
Proceedings of the 2016 International Conference on Management of Data, 2016

2015
In-Network Neighborhood-Based Node Similarity Measure: A Unified Parametric Model.
CoRR, 2015

Information Coverage Maximization in Social Networks.
CoRR, 2015

Maximizing the Coverage of Information Propagation in Social Networks.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2013
PageRank with Priors: An Influence Propagation Perspective.
Proceedings of the IJCAI 2013, 2013

2012
A Social Influence Model Based On Circuit Theory
CoRR, 2012

On Approximation of Real-World Influence Spread.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012


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