Jiajun Liu

Orcid: 0000-0001-8160-1796

Affiliations:
  • CSIRO Data61, Australia


According to our database1, Jiajun Liu authored at least 92 papers between 2011 and 2026.

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Timeline

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Bibliography

2026
SATE: Efficient knowledge distillation with implicit student-aware teacher ensembles.
Pattern Recognit., 2026

On learning denoisable student logits.
Pattern Recognit., 2026

A unified analysis on cross-architecture generalizability of coresets.
Pattern Recognit., 2026

DFedDG2: Distribution-Guided Gossip-Based Generalizable and Communication-Efficient Decentralized Federated Learning.
IEEE Internet Things J., 2026

2025
VLNVerse: A Benchmark for Vision-Language Navigation with Versatile, Embodied, Realistic Simulation and Evaluation.
CoRR, December, 2025

Estimating Pasture Biomass from Top-View Images: A Dataset for Precision Agriculture.
CoRR, October, 2025

On-the-Fly Object-aware Representative Point Selection in Point Cloud.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

TokenBinder: Text-Video Retrieval with One-to-Many Alignment Paradigm.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

DARLR: Dual-Agent Offline Reinforcement Learning for Recommender Systems with Dynamic Reward.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

MARCO: A Cooperative Knowledge Transfer Framework for Personalized Cross-domain Recommendations.
Proceedings of the 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2025

Chain-of-Action: Trajectory Autoregressive Modeling for Robotic Manipulation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Querying Autonomous Vehicle Point Clouds: Enhanced by 3D Object Counting with CounterNet.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Queryable 3D Scene Representation: A Multi-Modal Framework for Semantic Reasoning and Robotic Task Planning.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Building Efficient Segmentation Models from Large Open-Vocabulary Foundation Models Without Any Labels.
Proceedings of the International Joint Conference on Neural Networks, 2025

Effective Tuning Strategies for Generalist Robot Manipulation Policies.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

RePaViT: Scalable Vision Transformer Acceleration via Structural Reparameterization on Feedforward Network Layers.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

OmniRestore: Robust Universal Image Restoration from Combined and Unspecified Degradations.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

General Scene Adaptation for Vision-and-Language Navigation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Medium-Difficulty Samples Constitute Smoothed Decision Boundary for Knowledge Distillation on Pruned Datasets.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Beyond Static LLM Policies: Imitation-Enhanced Reinforcement Learning for Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2025

Quantifying and Narrowing the Unknown: Interactive Text-to-Video Retrieval Via Uncertainty Minimization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
Optimized Edge Node Allocation Considering User Delay Tolerance for Cost Reduction.
IEEE Trans. Serv. Comput., 2024

GTP-ViT: Efficient Vision Transformers via Graph-based Token Propagation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Demonstrating Event-Triggered Investigation and Sample Collection for Human Scientists using Field Robots and Large Foundation Models.
Proceedings of the Robotics: Science and Systems XX, 2024

Towards Cost-Efficient Federated Multi-agent RL with Learnable Aggregation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Navigating Beyond Instructions: Vision-and-Language Navigation in Obstructed Environments.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Edge Deployable Online Domain Adaptation for Underwater Object Detection.
Proceedings of the International Joint Conference on Neural Networks, 2024

Real-time Multi-modal Object Detection and Tracking on Edge for Regulatory Compliance Monitoring.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Why Only Text: Empowering Vision-and-Language Navigation with Multi-modal Prompts.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

LLM as Copilot for Coarse-Grained Vision-and-Language Navigation.
Proceedings of the Computer Vision - ECCV 2024, 2024

ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

BuildingSage: A safe and secure AI copilot for smart buildings.
Proceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, 2024

2023
Decoupled Graph Neural Networks for Large Dynamic Graphs.
Proc. VLDB Endow., 2023

Understanding the Effects of Projectors in Knowledge Distillation.
CoRR, 2023

SkySea: Connecting Satellite, UAV and Underwater Imagery for Benthic Habitat Mapping.
Proceedings of the 2023 Workshop on UAVs in Multimedia: Capturing the World from a New Perspective, 2023

Object Detection Difficulty: Suppressing Over-aggregation for Faster and Better Video Object Detection.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Point-Syn2Real: Semi-Supervised Synthetic-to-Real Cross-Domain Learning for Object Classification in 3D Point Clouds.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dynamic Token Pruning in Plain Vision Transformers for Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Plug n' Play Channel Shuffle Module for Enhancing Tiny Vision Transformers.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

No Token Left Behind: Efficient Vision Transformer via Dynamic Token Idling.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022
AP-GAN: Adversarial patch attack on content-based image retrieval systems.
GeoInformatica, 2022

Multi-modal Sensor Data Fusion for In-situ Classification of Animal Behavior Using Accelerometry and GNSS Data.
CoRR, 2022

Improved Feature Distillation via Projector Ensemble.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-modal sensing for behaviour recognition.
Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

A real-time edge-AI system for reef surveys.
Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

In-situ data curation: a key to actionable AI at the edge.
Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

Instant Graph Neural Networks for Dynamic Graphs.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

STAR-GNN: Spatial-Temporal Video Representation for Content-Based Retrieval.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

InvisibiliTee: Angle-Agnostic Cloaking from Person-Tracking Systems with a Tee.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

EvAnGCN: Evolving Graph Deep Neural Network Based Anomaly Detection in Blockchain.
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

A Novel Policy for Pre-trained Deep Reinforcement Learning for Speech Emotion Recognition.
Proceedings of the ACSW 2022: Australasian Computer Science Week 2022, Brisbane, Australia, February 14, 2022

2021
Pyramid regional graph representation learning for content-based video retrieval.
Inf. Process. Manag., 2021

The CSIRO Crown-of-Thorn Starfish Detection Dataset.
CoRR, 2021

2020
Geosocial Co-Clustering: A Novel Framework for Geosocial Community Detection.
ACM Trans. Intell. Syst. Technol., 2020

2019
Unsupervised Adversarial Attacks on Deep Feature-based Retrieval with GAN.
CoRR, 2019

RUM: Network Representation Learning Using Motifs.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018
A deep cascade of neural networks for image inpainting, deblurring and denoising.
Multim. Tools Appl., 2018

Zero-Shot Learning with Sparse Attribute Propagation.
CoRR, 2018

Improving Person Re-identification by Body Parts Segmentation Generated by GAN.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Skip-Connected Deep Convolutional Autoencoder for Restoration of Document Images.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Learning in high-dimensional multimedia data: the state of the art.
Multim. Syst., 2017

RUM: network Representation learning throUgh Multi-level structural information preservation.
CoRR, 2017

A Novel Framework for Online Sales Burst Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2016
A Novel Framework for Online Amnesic Trajectory Compression in Resource-Constrained Environments.
IEEE Trans. Knowl. Data Eng., 2016

From the lab into the wild: Design and deployment methods for multi-modal tracking platforms.
Pervasive Mob. Comput., 2016

Finding regions of interest using location based social media.
Neurocomputing, 2016

Prediction-based Unobstructed Route Planning.
Neurocomputing, 2016

Multi-view ensemble learning for dementia diagnosis from neuroimaging: An artificial neural network approach.
Neurocomputing, 2016

Learning abstract snippet detectors with Temporal embedding in convolutional neural Networks.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

2015
VID Join: Mapping Trajectories to Points of Interest to Support Location-Based Services.
J. Comput. Sci. Technol., 2015

Dimension reduction with meta object-groups for efficient image retrieval.
Neurocomputing, 2015

Planning unobstructed paths in traffic-aware spatial networks.
GeoInformatica, 2015

Temporal Embedding in Convolutional Neural Networks for Robust Learning of Abstract Snippets.
CoRR, 2015

Interactive Top-k Spatial Keyword queries.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Bounded Quadrant System: Error-bounded trajectory compression on the go.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Multi-scale population and mobility estimation with geo-tagged Tweets.
Proceedings of the 31st IEEE International Conference on Data Engineering Workshops, 2015

2014
On the Influence Propagation of Web Videos.
IEEE Trans. Knowl. Data Eng., 2014

Understanding Human Mobility from Twitter.
CoRR, 2014

Semi-supervised Feature Analysis for Multimedia Annotation by Mining Label Correlation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Human Mobility Prediction and Unobstructed Route Planning in Public Transport Networks.
Proceedings of the IEEE 15th International Conference on Mobile Data Management, 2014

2013
A Gram-Based String Paradigm for Efficient Video Subsequence Search.
IEEE Trans. Multim., 2013

Local image tagging via graph regularized joint group sparsity.
Pattern Recognit., 2013

Near-duplicate video retrieval: Current research and future trends.
ACM Comput. Surv., 2013

Presenting diverse location views with real-time near-duplicate photo elimination.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Determination of Activities of Daily Living of independent living older people using environmentally placed sensors.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Robust cross-media transfer for visual event detection.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Discovering areas of interest with geo-tagged images and check-ins.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

2011
Correlation-based retrieval for heavily changed near-duplicate videos.
ACM Trans. Inf. Syst., 2011

UQMSG Experiments for TRECVID 2011.
Proceedings of the 2011 TREC Video Retrieval Evaluation, 2011

Effective data co-reduction for multimedia similarity search.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Efficient Histogram-Based Similarity Search in Ultra-High Dimensional Space.
Proceedings of the Database Systems for Advanced Applications, 2011


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