Weijie Liu

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

Bibliography

2026
Pro-Prophet: A Systematic Load Balancing Method for Efficient Parallel Training of Large-Scale MoE Models.
IEEE Trans. Parallel Distributed Syst., May, 2026

ADWIN: Adaptive Windows for Horizon-Aware On-Policy Distillation.
CoRR, May, 2026

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data.
CoRR, May, 2026

Learning to Foresee: Unveiling the Unlocking Efficiency of On-Policy Distillation.
CoRR, May, 2026

Listwise Policy Optimization: Group-based RLVR as Target-Projection on the LLM Response Simplex.
CoRR, May, 2026

Tool Learning Needs Nothing More Than a Free 8B Language Model.
CoRR, April, 2026

GENGait: Exploring a Skeleton-Based Gait Recognition Framework With Strong Generalizability.
IEEE Trans. Comput. Soc. Syst., February, 2026

Learning beyond Teacher: Generalized On-Policy Distillation with Reward Extrapolation.
CoRR, February, 2026

Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models.
CoRR, February, 2026

Small Generalizable Prompt Predictive Models Can Steer Efficient RL Post-Training of Large Reasoning Models.
CoRR, February, 2026

ORBIT: On-policy Exploration-Exploitation for Controllable Multi-Budget Reasoning.
CoRR, January, 2026

Inconsistency identification for battery energy storage systems based on clustering-embedded low-rank representation.
Reliab. Eng. Syst. Saf., 2026

Mechanism-guided deep learning for pest classification in tomato leaves.
Comput. Electron. Agric., 2026

Multi-Dimensional Feature Extraction and Classification Method for Industrial Noise Integrating Wavelet Transform and Machine Learning.
IEEE Access, 2026

MIFE: A Multimodal VR Immersive Training System for Fire Escape.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2026

Losing the Beat: Understanding and Mitigating Desynchronization Risks in Container Isolation.
Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

VI-MMRec: Similarity-Aware Training Cost-free Virtual User-Item Interactions for Multimodal Recommendation.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

AdaCheck: An Adaptive Checkpointing System for Efficient LLM Training with Redundancy Utilization.
Proceedings of the 24th USENIX Conference on File and Storage Technologies, 2026

Do Not Step Into the Same River Twice: Learning to Reason from Trial and Error.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
Detecting Dental Landmarks from Intraoral 3D Scans: the 3DTeethLand challenge.
CoRR, December, 2025

EntroPIC: Towards Stable Long-Term Training of LLMs via Entropy Stabilization with Proportional-Integral Control.
CoRR, November, 2025

Cross-Domain Gesture Recognition via Wrist-Worn Sensing for Resource-Efficient IoT Applications.
IEEE Internet Things J., October, 2025

Efficient deep neural network training via decreasing precision with layer capacity.
Frontiers Comput. Sci., October, 2025

Think Outside the Policy: In-Context Steered Policy Optimization.
CoRR, October, 2025

Do Not Step Into the Same River Twice: Learning to Reason from Trial and Error.
CoRR, October, 2025

LaSeR: Reinforcement Learning with Last-Token Self-Rewarding.
CoRR, October, 2025

Oases: Efficient Large-Scale Model Training on Commodity Servers via Overlapped and Automated Tensor Model Parallelism.
IEEE Trans. Parallel Distributed Syst., September, 2025

Consistency Evaluation for Lithium-Ion Battery Energy Storage Systems Based on Approximate Low-Rank Representation and Hypersphere Concentration.
IEEE Trans. Ind. Electron., May, 2025

AutoPipe-H: A Heterogeneity-Aware Data-Paralleled Pipeline Approach on Commodity GPU Servers.
IEEE Trans. Computers, April, 2025

Dynamic relevance learning for few-shot object detection.
Signal Image Video Process., April, 2025

Flexible dual-mode sensor with accurate contact pressure sensing and contactless distance detection functions for robotic perception.
J. Intell. Manuf., February, 2025

Robust Low-Rank Reconstruction of Seismic Data.
IEEE Trans. Geosci. Remote. Sens., 2025

Robust optimization method for co-simulation of equipment based on EDEM-ADAMS.
Simul. Model. Pract. Theory, 2025

Accelerating personalized federated learning via dynamic gradient substitution and client selection.
Comput. Networks, 2025

Geodesic heatmap-based segmentation-free framework for robust tooth landmark detection.
Comput. Graph., 2025

A dynamic arrangement framework for automatic tooth alignment based on orthodontic rules.
Comput. Aided Geom. Des., 2025

Mapping the evolving trend of research on efferocytosis: a comprehensive data-mining-based study.
BioData Min., 2025

PASTA: Training Acceleration for Vertical Federated Learning via Adaptive Pipeline Parallelism.
Proceedings of the 33rd IEEE/ACM International Symposium on Quality of Service, 2025

Design of scalable orthogonal digital encoding architecture for large-area flexible tactile sensing in robotics.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction.
Proceedings of the 45th IEEE International Conference on Distributed Computing Systems, 2025

Case-Based Causal Reasoning for Elite Sport Training.
Proceedings of the Case-Based Reasoning Research and Development, 2025

EAHP: An Efficient Automatic Hybrid Parallelism Approach with Genetic Algorithm.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2025

Capricorn: Efficient In-Memory Checkpointing for MoE Model Training with Dynamicity Awareness.
Proceedings of the IEEE International Conference on Cluster Computing, 2025

An Efficient Multi-Objective Shuffled Frog Leaping Algorithm-Based Method for Metabolic Pathway Design.
Proceedings of the IEEE Congress on Evolutionary Computation, 2025

2024
A Multidimensional Communication Scheduling Method for Hybrid Parallel DNN Training.
IEEE Trans. Parallel Distributed Syst., August, 2024

Gaitdlf: global and local fusion for skeleton-based gait recognition in the wild.
J. Supercomput., August, 2024

DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning With Static and Streaming Datasets.
IEEE Trans. Mob. Comput., July, 2024

MemLong: Memory-Augmented Retrieval for Long Text Modeling.
CoRR, 2024

A Metabolic Pathway Design Method Based on Surrogate-Assisted Fireworks Algorithm.
Proceedings of the Advances in Swarm Intelligence, 2024

FedMoE-DA: Federated Mixture of Experts via Domain Aware Fine-Grained Aggregation.
Proceedings of the 20th International Conference on Mobility, Sensing and Networking, 2024

Adaptive Personalized Federated Learning for Non-IID Data with Continual Distribution Shift.
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

HSDP: Accelerating Large-scale Model Training via Efficient Sharded Data Parallelism.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2024

FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Flexible, wireless, multifunctional integrated electronic system for daily wearable gait detection.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2024

2023
Zero-shot object detection with contrastive semantic association network.
Appl. Intell., December, 2023

Merak: An Efficient Distributed DNN Training Framework With Automated 3D Parallelism for Giant Foundation Models.
IEEE Trans. Parallel Distributed Syst., May, 2023

DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset.
CoRR, 2023

Automated Tensor Model Parallelism with Overlapped Communication for Efficient Foundation Model Training.
CoRR, 2023

Pseudo-label Diversity Exploitation for Few-Shot Object Detection.
Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

AdaCoOpt: Leverage the Interplay of Batch Size and Aggregation Frequency for Federated Learning.
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

Federated Learning at the Edge: An Interplay of Mini-batch Size and Aggregation Frequency.
Proceedings of the IEEE INFOCOM 2023, 2023

Efficient Large Models Fine-tuning on Commodity Servers via Memory-balanced Pipeline Parallelism.
Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

Prophet: Fine-grained Load Balancing for Parallel Training of Large-scale MoE Models.
Proceedings of the IEEE International Conference on Cluster Computing, 2023

2022
Novel Instance Mining with Pseudo-Margin Evaluation for Few-Shot Object Detection.
Proceedings of the IEEE International Conference on Acoustics, 2022

AutoPipe: A Fast Pipeline Parallelism Approach with Balanced Partitioning and Micro-batch Slicing.
Proceedings of the IEEE International Conference on Cluster Computing, 2022

HPH: Hybrid Parallelism on Heterogeneous Clusters for Accelerating Large-scale DNNs Training.
Proceedings of the IEEE International Conference on Cluster Computing, 2022

2021
Quantum security of Grain-128/Grain-128a stream cipher against HHL algorithm.
Quantum Inf. Process., 2021

Dynamic Relevance Learning for Few-Shot Object Detection.
CoRR, 2021

Which type of exclusion region is better for restricted random testing?: an empirical study.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Task scheduling based on computing resource usage prediction in large-scale cluster.
Proceedings of the HP3C 2021: 5th International Conference on High Performance Compilation, Computing and Communications, Guangzhou, China, June 18, 2021

Hierarchical Structure in Fuzzy Multi-Information Granular Computing Model.
Proceedings of the Fuzzy Systems and Data Mining VII, 2021

Capsule Embedded ResNet for Image Classification.
Proceedings of the CSAI 2021: 5th International Conference on Computer Science and Artificial Intelligence, Beijing, China, December 4, 2021

2018
Cooperation of V2I/P2I Communication and Roadside Radar Perception for the Safety of Vulnerable Road Users.
Proceedings of the 16th International Conference on Intelligent Transportation Systems Telecommunications, 2018

2017
Deep learning for picking point detection in dense cluster.
Proceedings of the 11th Asian Control Conference, 2017

2015
Inter-flow consistency: A novel SDN update abstraction for supporting inter-flow constraints.
Proceedings of the 2015 IEEE Conference on Communications and Network Security, 2015

2011
Research on Rational Choice of Entrepreneurship Education Behavior about College Students in Network Environment.
Proceedings of the Advances in Computer Science, Environment, Ecoinformatics, and Education, 2011

2007
A Shape Detection Method Based on the Radial Symmetry Nature and Direction-Discriminated Voting.
Proceedings of the International Conference on Image Processing, 2007

1998
On optimum normalization method used for speaker verification.
Proceedings of the 5th International Conference on Spoken Language Processing, Incorporating The 7th Australian International Speech Science and Technology Conference, Sydney Convention Centre, Sydney, Australia, 30th November, 1998

1997
Inducing a Membership Function of a Category in a Fuzzy-Set-Based Attribute Space.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1997


  Loading...