Weijie Liu

80 papers A* 1A 4B 4C 6Misc 2Journal 45Unranked 18
YearRankTypeTitle / Venue / Authors
2026 A conf
AdaCheck: An Adaptive Checkpointing System for Efficient LLM Training with Redundancy Utilization.
FAST
Weijie Liu, Shengwei Li, Zhiquan Lai, Keshi Ge, Qiaoling Chen, Peng Sun, Dongsheng Li, Kai Lu
2026 J jnl
Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models.
CoRR
Xin Xu, Clive Bai, Kai Yang, Tianlong Chen, Yangkun Chen, Weijie Liu, Hao Chen, Yang Wang, Saiyong Yang, Can Yang
2026 J jnl
GENGait: Exploring a Skeleton-Based Gait Recognition Framework With Strong Generalizability.
IEEE Trans. Comput. Soc. Syst.
Weijie Liu, Siwei Wei, Hongfang Luo, Chunzhi Wang, Ruoxi Wang
2026 J jnl
Inconsistency identification for battery energy storage systems based on clustering-embedded low-rank representation.
Reliab. Eng. Syst. Saf.
Weijie Liu, Zhen Chen, Ershun Pan
2026 J jnl
Learning beyond Teacher: Generalized On-Policy Distillation with Reward Extrapolation.
CoRR
Wenkai Yang, Weijie Liu, Ruobing Xie, Kai Yang, Saiyong Yang, Yankai Lin
2026 A* conf
MIFE: A Multimodal VR Immersive Training System for Fire Escape.
VR
Weijie Liu, Yalei Liu, Jiaxuan Gao, Zixuan Xie, Qiuyu Fu, Lu Lu, Jian Ma, Kun Li
2026 J jnl
Mechanism-guided deep learning for pest classification in tomato leaves.
Comput. Electron. Agric.
Mingji Wei, Fei Lyu, Shuai Lu, Weijie Liu, Zhaoxuan Fan, Ning Yang, Wenhao Hui
2026 J jnl
Multi-Dimensional Feature Extraction and Classification Method for Industrial Noise Integrating Wavelet Transform and Machine Learning.
IEEE Access
Weijie Liu, Qing Luo
2026 J jnl
ORBIT: On-policy Exploration-Exploitation for Controllable Multi-Budget Reasoning.
CoRR
Kun Liang, Clive Bai, Xin Xu, Chenming Tang, Sanwoo Lee, Weijie Liu, Saiyong Yang, Yunfang Wu
2026 J jnl
Pro-Prophet: A Systematic Load Balancing Method for Efficient Parallel Training of Large-Scale MoE Models.
IEEE Trans. Parallel Distributed Syst.
Wei Wang, Zhiquan Lai, Dongsheng Li, Shengwei Li, Weijie Liu, Keshi Ge, Ao Shen, Huayou Su
2026 J jnl
Small Generalizable Prompt Predictive Models Can Steer Efficient RL Post-Training of Large Reasoning Models.
CoRR
Yun Qu, Qi Wang, Yixiu Mao, Heming Zou, Yuhang Jiang, Weijie Liu, Clive Bai, Kai Yang, Yangkun Chen, Saiyong Yang, Xiangyang Ji
2026 — conf
VI-MMRec: Similarity-Aware Training Cost-free Virtual User-Item Interactions for Multimodal Recommendation.
KDD (1)
Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Zitong Wan, Hewei Wang, Weijie Liu, Yijie Li, Edith C. H. Ngai
2025 J jnl
A dynamic arrangement framework for automatic tooth alignment based on orthodontic rules.
Comput. Aided Geom. Des.
Yeying Fan, Guangshun Wei, Weijie Liu, Chuanxiang Yang, Chuanyun Fu, Wenping Wang, Yuanfeng Zhou
2025 J jnl
Accelerating personalized federated learning via dynamic gradient substitution and client selection.
Comput. Networks
Ziwei Zhan, Weijie Liu, Xiaoxi Zhang, Chee Wei Tan, Lei Xue, Haisheng Tan, Xu Chen
2025 B conf
An Efficient Multi-Objective Shuffled Frog Leaping Algorithm-Based Method for Metabolic Pathway Design.
CEC
Xin Zhao, Haotong Li, Tao Zhang, Jiajing Qi, Yahui Cao, Ming Yang, Weijie Liu
2025 J jnl
AutoPipe-H: A Heterogeneity-Aware Data-Paralleled Pipeline Approach on Commodity GPU Servers.
IEEE Trans. Computers
Weijie Liu, Kai Lu, Zhiquan Lai, Shengwei Li, Keshi Ge, Dongsheng Li, Xicheng Lu
2025 C conf
Capricorn: Efficient In-Memory Checkpointing for MoE Model Training with Dynamicity Awareness.
CLUSTER
Wenqian Xie, Zhiquan Lai, Shengwei Li, Weijie Liu, Wei Wang, Yanqi Hao, Dongsheng Li
2025 C conf
Case-Based Causal Reasoning for Elite Sport Training.
ICCBR
Dandan Cui, Jianwei Guo, Ping Liu, Xiangning Zhang, Weijie Liu
2025 J jnl
Consistency Evaluation for Lithium-Ion Battery Energy Storage Systems Based on Approximate Low-Rank Representation and Hypersphere Concentration.
IEEE Trans. Ind. Electron.
Zhen Chen, Weijie Liu, Tangbin Xia, Ershun Pan
2025 J jnl
Cross-Domain Gesture Recognition via Wrist-Worn Sensing for Resource-Efficient IoT Applications.
IEEE Internet Things J.
Shuo Zhang, Ying Ding, Jin Qi, Chengan Hong, Weijie Liu, Duidi Wu, Qianyou Zhao, Jie Hu
2025 A conf
Design of scalable orthogonal digital encoding architecture for large-area flexible tactile sensing in robotics.
IROS
Weijie Liu, Ziyi Qiu, Shihang Wang, Deqing Mei, Yancheng Wang
2025 J jnl
Design of scalable orthogonal digital encoding architecture for large-area flexible tactile sensing in robotics.
CoRR
Weijie Liu, Ziyi Qiu, Shihang Wang, Deqing Mei, Yancheng Wang
2025 J jnl
Detecting Dental Landmarks from Intraoral 3D Scans: the 3DTeethLand challenge.
CoRR
Achraf Ben-Hamadou, Nour Neifar, Ahmed Rekik, Oussama Smaoui, Firas Bouzguenda, Sergi Pujades, Niels van Nistelrooij, Shankeeth Vinayahalingam, Kaibo Shi, Hairong Jin, Youyi Zheng, Tibor Kubík, Oldrich Kodym, Petr Silling, Katerina Trávnícková, Tomás Mojzis, Jan Matula, Jeffry Hartanto, Xiaoying Zhu, Kim-Ngan Nguyen, Tudor Dascalu, Huikai Wu, Weijie Liu, Shaojie Zhuang, Guangshun Wei, Yuanfeng Zhou
2025 J jnl
Do Not Step Into the Same River Twice: Learning to Reason from Trial and Error.
CoRR
Chenming Tang, Hsiu-Yuan Huang, Weijie Liu, Saiyong Yang, Yunfang Wu
2025 J jnl
Dynamic relevance learning for few-shot object detection.
Signal Image Video Process.
Weijie Liu, Xiaojie Cai, Chong Wang, Haohe Li, Shenghao Yu
2025 — conf
EAHP: An Efficient Automatic Hybrid Parallelism Approach with Genetic Algorithm.
ICA3PP (2)
Yichen Gu, Zhiquan Lai, Weijie Liu, Yinghui Gao
2025 J jnl
Efficient deep neural network training via decreasing precision with layer capacity.
Frontiers Comput. Sci.
Ao Shen, Zhiquan Lai, Tao Sun, Shengwei Li, Keshi Ge, Weijie Liu, Dongsheng Li
2025 J jnl
EntroPIC: Towards Stable Long-Term Training of LLMs via Entropy Stabilization with Proportional-Integral Control.
CoRR
Kai Yang, Xin Xu, Yangkun Chen, Weijie Liu, Jiafei Lyu, Zichuan Lin, Deheng Ye, Saiyong Yang
2025 J jnl
Flexible dual-mode sensor with accurate contact pressure sensing and contactless distance detection functions for robotic perception.
J. Intell. Manuf.
Zhijian Chen, Yancheng Wang, Zhongtan Zhang, Deqing Mei, Weijie Liu
2025 J jnl
Geodesic heatmap-based segmentation-free framework for robust tooth landmark detection.
Comput. Graph.
Weijie Liu, Shaojie Zhuang, Yeying Fan, Guangshun Wei, Yuanfeng Zhou
2025 J jnl
LaSeR: Reinforcement Learning with Last-Token Self-Rewarding.
CoRR
Wenkai Yang, Weijie Liu, Ruobing Xie, Yiju Guo, Lulu Wu, Saiyong Yang, Yankai Lin
2025 J jnl
Mapping the evolving trend of research on efferocytosis: a comprehensive data-mining-based study.
BioData Min.
Yanpeng Jian, Shijia Dong, Weijie Liu, Genfeng Li, Xiaoyu Lian, Yigong Wang
2025 J jnl
Oases: Efficient Large-Scale Model Training on Commodity Servers via Overlapped and Automated Tensor Model Parallelism.
IEEE Trans. Parallel Distributed Syst.
Shengwei Li, Zhiquan Lai, Dongsheng Li, Yanqi Hao, Weijie Liu, Keshi Ge, Xiaoge Deng, Kai Lu
2025 B conf
PASTA: Training Acceleration for Vertical Federated Learning via Adaptive Pipeline Parallelism.
IWQoS
Tian Wu, Weijie Liu, Han Liang, Ziwei Zhan, Jingpu Duan, Chuan Wu, Jinhang Zuo, Xu Chen, Xiaoxi Zhang
2025 — conf
QuASAR: A Question-Driven Structure-Aware Approach for Table-to-Text Generation.
ACL (1)
Weijie Liu, Yibin Zheng, Fang Kong
2025 J jnl
Robust Low-Rank Reconstruction of Seismic Data.
IEEE Trans. Geosci. Remote. Sens.
Weilin Huang, Jieli Li, Jidong Li, Weijie Liu, Faliang Wang
2025 J jnl
Robust optimization method for co-simulation of equipment based on EDEM-ADAMS.
Simul. Model. Pract. Theory
Jing Guo, Jin Qi, Jie Hu, Chengan Hong, Yuliang Shen, Haiqing Huang, Weijie Liu
2025 A conf
TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction.
ICDCS
Weijie Liu, Ziwei Zhan, Carlee Joe-Wong, Edith C. H. Ngai, Jingpu Duan, Deke Guo, Xu Chen, Xiaoxi Zhang
2025 J jnl
TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction.
CoRR
Weijie Liu, Ziwei Zhan, Carlee Joe-Wong, Edith C. H. Ngai, Jingpu Duan, Deke Guo, Xu Chen, Xiaoxi Zhang
2025 J jnl
Think Outside the Policy: In-Context Steered Policy Optimization.
CoRR
Hsiu-Yuan Huang, Chenming Tang, Weijie Liu, Saiyong Yang, Yunfang Wu
2025 J jnl
VI-MMRec: Similarity-Aware Training Cost-free Virtual User-Item Interactions for Multimodal Recommendation.
CoRR
Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Zitong Wan, Hewei Wang, Weijie Liu, Yijie Li, Edith C. H. Ngai
2024 — conf
A Metabolic Pathway Design Method Based on Surrogate-Assisted Fireworks Algorithm.
ICSI (1)
Xin Zhao, Shuxin Cui, Tao Zhang, Yahui Cao, Ming Yang, Weijie Liu
2024 J jnl
A Multidimensional Communication Scheduling Method for Hybrid Parallel DNN Training.
IEEE Trans. Parallel Distributed Syst.
Shengwei Li, Kai Lu, Zhiquan Lai, Weijie Liu, Keshi Ge, Dong Sheng Li
2024 B conf
Adaptive Personalized Federated Learning for Non-IID Data with Continual Distribution Shift.
IWQoS
Sisi Chen, Weijie Liu, Xiaoxi Zhang, Hong Xu, Wanyu Lin, Xu Chen
2024 J jnl
DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning With Static and Streaming Datasets.
IEEE Trans. Mob. Comput.
Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, Xu Chen
2024 — conf
FedMoE-DA: Federated Mixture of Experts via Domain Aware Fine-Grained Aggregation.
MSN
Ziwei Zhan, Wenkuan Zhao, Yuanqing Li, Weijie Liu, Xiaoxi Zhang, Chee Wei Tan, Chuan Wu, Deke Guo, Xu Chen
2024 J jnl
FedMoE-DA: Federated Mixture of Experts via Domain Aware Fine-grained Aggregation.
CoRR
Ziwei Zhan, Wenkuan Zhao, Yuanqing Li, Weijie Liu, Xiaoxi Zhang, Chee Wei Tan, Chuan Wu, Deke Guo, Xu Chen
2024 A conf
FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients.
ECAI
Han Liang, Ziwei Zhan, Weijie Liu, Xiaoxi Zhang, Chee Wei Tan, Xu Chen
2024 J jnl
FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients.
CoRR
Han Liang, Ziwei Zhan, Weijie Liu, Xiaoxi Zhang, Chee Wei Tan, Xu Chen
2024 — conf
Flexible, wireless, multifunctional integrated electronic system for daily wearable gait detection.
AIM
Weijie Liu, Shihang Wang, Jinyu Li, Deqing Mei, Yancheng Wang
2024 J jnl
Gaitdlf: global and local fusion for skeleton-based gait recognition in the wild.
J. Supercomput.
Siwei Wei, Weijie Liu, Feifei Wei, Chunzhi Wang, Neal N. Xiong
2024 C conf
HSDP: Accelerating Large-scale Model Training via Efficient Sharded Data Parallelism.
ISPA
Yanqi Hao, Zhiquan Lai, Wei Wang, Shengwei Li, Weijie Liu, Keshi Ge, Dongsheng Li
2024 J jnl
MemLong: Memory-Augmented Retrieval for Long Text Modeling.
CoRR
Weijie Liu, Zecheng Tang, Juntao Li, Kehai Chen, Min Zhang
2024 J jnl
Pro-Prophet: A Systematic Load Balancing Method for Efficient Parallel Training of Large-scale MoE Models.
CoRR
Wei Wang, Zhiquan Lai, Shengwei Li, Weijie Liu, Keshi Ge, Ao Shen, Huayou Su, Dong Sheng Li
2023 B conf
AdaCoOpt: Leverage the Interplay of Batch Size and Aggregation Frequency for Federated Learning.
IWQoS
Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, Xu Chen
2023 J jnl
Automated Tensor Model Parallelism with Overlapped Communication for Efficient Foundation Model Training.
CoRR
Shengwei Li, Zhiquan Lai, Yanqi Hao, Weijie Liu, Keshi Ge, Xiaoge Deng, Dongsheng Li, Kai Lu
2023 J jnl
DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset.
CoRR
Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, Xu Chen
2023 — conf
Efficient Large Models Fine-tuning on Commodity Servers via Memory-balanced Pipeline Parallelism.
HPCC/DSS/SmartCity/DependSys
Yujie Liu, Zhiquan Lai, Weijie Liu, Wei Wang, Dongsheng Li
2023 — conf
Federated Learning at the Edge: An Interplay of Mini-batch Size and Aggregation Frequency.
INFOCOM Workshops
Weijie Liu, Xiaoxi Zhang, Jingpu Duan, Carlee Joe-Wong, Zhi Zhou, Xu Chen
2023 J jnl
Merak: An Efficient Distributed DNN Training Framework With Automated 3D Parallelism for Giant Foundation Models.
IEEE Trans. Parallel Distributed Syst.
Zhiquan Lai, Shengwei Li, Xudong Tang, Keshi Ge, Weijie Liu, Yabo Duan, Linbo Qiao, Dongsheng Li
2023 C conf
Prophet: Fine-grained Load Balancing for Parallel Training of Large-scale MoE Models.
CLUSTER
Wei Wang, Zhiquan Lai, Shengwei Li, Weijie Liu, Keshi Ge, Yujie Liu, Ao Shen, Dongsheng Li
2023 — conf
Pseudo-label Diversity Exploitation for Few-Shot Object Detection.
MMM (2)
Song Chen, Chong Wang, Weijie Liu, Zhengjie Ye, Jiacheng Deng
2023 J jnl
Zero-shot object detection with contrastive semantic association network.
Appl. Intell.
Haohe Li, Chong Wang, Weijie Liu, Yiling Gong, Xinmiao Dai
2022 C conf
AutoPipe: A Fast Pipeline Parallelism Approach with Balanced Partitioning and Micro-batch Slicing.
CLUSTER
Weijie Liu, Zhiquan Lai, Shengwei Li, Yabo Duan, Keshi Ge, Dongsheng Li
2022 C conf
HPH: Hybrid Parallelism on Heterogeneous Clusters for Accelerating Large-scale DNNs Training.
CLUSTER
Yabo Duan, Zhiquan Lai, Shengwei Li, Weijie Liu, Keshi Ge, Peng Liang, Dongsheng Li
2022 J jnl
Merak: An Efficient Distributed DNN Training Framework with Automated 3D Parallelism for Giant Foundation Models.
CoRR
Zhiquan Lai, Shengwei Li, Xudong Tang, Keshi Ge, Weijie Liu, Yabo Duan, Linbo Qiao, Dongsheng Li
2022 Misc conf
Novel Instance Mining with Pseudo-Margin Evaluation for Few-Shot Object Detection.
ICASSP
Weijie Liu, Chong Wang, Shenghao Yu, Chenchen Tao, Jun Wang, Jiafei Wu
2021 — conf
Capsule Embedded ResNet for Image Classification.
CSAI
Weijie Liu, Weiwei Chen, Chong Wang, Qiaomei Mao, Xinmiao Dai
2021 J jnl
Dynamic Relevance Learning for Few-Shot Object Detection.
CoRR
Weijie Liu, Chong Wang, Haohe Li, Shenghao Yu, Song Chen, Xulun Ye, Jiafei Wu
2021 — conf
Hierarchical Structure in Fuzzy Multi-Information Granular Computing Model.
FSDM
Weijie Liu, Qinghai Wang
2021 J jnl
Quantum security of Grain-128/Grain-128a stream cipher against HHL algorithm.
Quantum Inf. Process.
Weijie Liu, Juntao Gao
2021 — conf
Task scheduling based on computing resource usage prediction in large-scale cluster.
HP3C
Weijie Liu, Linhui Xu, Yuanlong Chen
2021 Misc conf
Which type of exclusion region is better for restricted random testing?: an empirical study.
SAC
Weifeng Sun, Rubing Huang, Chenhui Cui, Haibo Chen, Weijie Liu
2018 — conf
Cooperation of V2I/P2I Communication and Roadside Radar Perception for the Safety of Vulnerable Road Users.
ITST
Weijie Liu, Shintaro Muramatsu, Yoshiyuki Okubo
2017 — conf
Deep learning for picking point detection in dense cluster.
ASCC
Wenhai Liu, Zhenyu Pan, Weijie Liu, Quanquan Shao, Jie Hu, Weiming Wang, Jin Ma, Jin Qi, Wenjun Zhao, Shaofeng Du
2015 — conf
Inter-flow consistency: A novel SDN update abstraction for supporting inter-flow constraints.
CNS
Weijie Liu, Rakesh B. Bobba, Sibin Mohan, Roy H. Campbell
2011 — conf
Research on Rational Choice of Entrepreneurship Education Behavior about College Students in Network Environment.
CSEE (4)
Weijie Liu, Dan Liu
2007 — conf
A Shape Detection Method Based on the Radial Symmetry Nature and Direction-Discriminated Voting.
ICIP (6)
Gang Wu, Weijie Liu, Xiaohui Xie, Qiang Wei
1998 — conf
On optimum normalization method used for speaker verification.
ICSLP
Weijie Liu, Toshihiro Isobe, Naoki Mukawa
1997 J jnl
Inducing a Membership Function of a Category in a Fuzzy-Set-Based Attribute Space.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Weijie Liu, Michio Sugeno