Lijun Wu

According to our database, Lijun Wu authored at least 152 papers between 1995 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Dense video super-resolution time-differential network with feature enrichment module.

Lijun Wu, Yong Ma, Zhicong Chen

Signal Image Video Process., November, 2024

Randomness Regularization With Simple Consistency Training for Neural Networks.

Juntao Li, Xiaobo Liang, Lijun Wu, Yue Wang, Qi Meng, Tao Qin, Min Zhang, Tie-Yan Liu

IEEE Trans. Pattern Anal. Mach. Intell., August, 2024

A privacy and compliance in regulated anonymous payment system based on blockchain.

Issameldeen Elfadul, Lijun Wu, Rashad Elhabob, Ahmed Elkhalil

J. Ambient Intell. Humaniz. Comput., August, 2024

Real-time semantic segmentation network based on parallel atrous convolution for short-term dense concatenate and attention feature fusion.

Lijun Wu, Shangdong Qiu, Zhicong Chen

J. Real Time Image Process., May, 2024

CDS PosSR: Cross-Domain Supervised Unpaired Image Super-Resolution for Position-Sensitive Downstream Tasks.

Lijun Wu, Lanxin Chen, Zhicong Chen, Shuying Cheng, Zhaohui Chen

IEEE Trans. Instrum. Meas., 2024

Enhancing Low-Resource NLP by Consistency Training With Data and Model Perturbations.

Xiaobo Liang, Runze Mao, Lijun Wu, Juntao Li, Min Zhang, Qing Li

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Coordination as inference in multi-agent reinforcement learning.

Zhiyuan Li, Lijun Wu, Kaile Su, Wei Wu, Yulin Jing, Tong Wu, Weiwei Duan, Xiaofeng Yue, Xiyi Tong, Yizhou Han

Neural Networks, 2024

CMACF: Transformer-based cross-modal attention cross-fusion model for systemic lupus erythematosus diagnosis combining Raman spectroscopy, FTIR spectroscopy, and metabolomics.

Xuguang Zhou, Chen Chen, Xiaoyi Lv, Enguang Zuo, Min Li, Lijun Wu, Xiaomei Chen, Xue Wu, Cheng Chen

Inf. Process. Manag., 2024

Multi-Agent Collaborative Data Selection for Efficient LLM Pretraining.

Tianyi Bai, Ling Yang, Zhen Hao Wong, Jiahui Peng, Xinlin Zhuang, Chi Zhang, Lijun Wu, Jiantao Qiu, Wentao Zhang, Binhang Yuan, Conghui He

CoRR, 2024

3D-MolT5: Towards Unified 3D Molecule-Text Modeling with 3D Molecular Tokenization.

Qizhi Pei, Lijun Wu, Kaiyuan Gao, Jinhua Zhu, Rui Yan

CoRR, 2024

Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models.

Zun Wang, Chang Liu, Nianlong Zou, He Zhang, Xinran Wei, Lin Huang, Lijun Wu, Bin Shao

CoRR, 2024

SE3Set: Harnessing equivariant hypergraph neural networks for molecular representation learning.

Hongfei Wu, Lijun Wu, Guoqing Liu, Zhirong Liu, Bin Shao, Zun Wang

CoRR, 2024

FABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose Generation.

Kaiyuan Gao, Qizhi Pei, Jinhua Zhu, Tao Qin, Kun He, Lijun Wu

CoRR, 2024

Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey.

Qizhi Pei, Lijun Wu, Kaiyuan Gao, Jinhua Zhu, Yue Wang, Zun Wang, Tao Qin, Rui Yan

CoRR, 2024

AgentMixer: Multi-Agent Correlated Policy Factorization.

Zhiyuan Li, Wenshuai Zhao, Lijun Wu, Joni Pajarinen

CoRR, 2024

Tensor product graph diffusion based on nonlinear fusion of multi-source information to predict circRNA-disease associations.

Hao Liu, Chen Chen, Ying Su, Enguang Zuo, Lijun Wu, Min Li, Xuecong Tian, Chenjie Chang, Zhiyuan Cheng, Xiaoyi Lv, Cheng Chen

Appl. Soft Comput., 2024

Feature fusion technology based on serum FTIR spectra combined with chaos theory in the disease auxiliary diagnosis.

Yang Du, Cheng Chen, Chen Chen, Yue Liu, Lijun Wu, Enguang Zuo, Xiaoyi Lv

Appl. Soft Comput., 2024

Hierarchical Fusion Framework for Multimodal Dialogue Response Generation.

Qi Deng, Lijun Wu, Kaile Su, Wei Wu, Zhiyuan Li, Weiwei Duan

Proceedings of the International Joint Conference on Neural Networks, 2024

Retrieved Sequence Augmentation for Protein Representation Learning.

Chang Ma, Haiteng Zhao, Lin Zheng, Jiayi Xin, Qintong Li, Lijun Wu, Zhihong Deng, Yang Lu, Qi Liu, Sheng Wang, Lingpeng Kong

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

CReSE: Benchmark Data and Automatic Evaluation Framework for Recommending Eligibility Criteria from Clinical Trial Information.

Siun Kim, Jung-Hyun Won, David Seung U. Lee, Renqian Luo, Lijun Wu, Tao Qin, Howard Lee

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Exploiting Pre-trained Models for Drug Target Affinity Prediction with Nearest Neighbors.

Qizhi Pei, Lijun Wu, Zhenyu He, Jinhua Zhu, Yingce Xia, Shufang Xie, Rui Yan

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning.

Qizhi Pei, Lijun Wu, Kaiyuan Gao, Xiaozhuan Liang, Yin Fang, Jinhua Zhu, Shufang Xie, Tao Qin, Rui Yan

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Backpropagation Through Agents.

Zhiyuan Li, Wenshuai Zhao, Lijun Wu, Joni Pajarinen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Predicting very early recurrence in intrahepatic cholangiocarcinoma after curative hepatectomy using machine learning radiomics based on CECT: A multi-institutional study.

Bo Chen, Yicheng Mao, Jiacheng Li, Zhengxiao Zhao, Qiwen Chen, Yaoyao Yu, Yunjun Yang, Yulong Dong, Ganglian Lin, Jiangqiao Yao, Mengmeng Lu, Lijun Wu, Zhiyuan Bo, Gang Chen, Xiaozai Xie

Comput. Biol. Medicine, December, 2023

A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond.

Yisheng Xiao, Lijun Wu, Junliang Guo, Juntao Li, Min Zhang, Tao Qin, Tie-Yan Liu

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

A Wireless Gunshot Recognition System Based on Tri-Axis Accelerometer and Lightweight Deep Learning.

Zhicong Chen, Haoxin Zheng, Jingchang Huang, Lijun Wu, Shuying Cheng, Qianwei Zhou, Yang Yang

IEEE Internet Things J., October, 2023

Are the BERT family zero-shot learners? A study on their potential and limitations.

Yue Wang, Lijun Wu, Juntao Li, Xiaobo Liang, Min Zhang

Artif. Intell., September, 2023

Incorporating NODE with pre-trained neural differential operator for learning dynamics.

Shiqi Gong, Qi Meng, Yue Wang, Lijun Wu, Wei Chen, Zhiming Ma, Tie-Yan Liu

Neurocomputing, April, 2023

Online Coordinated NFV Resource Allocation via Novel Machine Learning Techniques.

Zhiyuan Li, Lijun Wu, Xiangyun Zeng, Xiaofeng Yue, Yulin Jing, Wei Wu, Kaile Su

IEEE Trans. Netw. Serv. Manag., March, 2023

Masked Contrastive Representation Learning for Reinforcement Learning.

Jinhua Zhu, Yingce Xia, Lijun Wu, Jiajun Deng, Wengang Zhou, Tao Qin, Tie-Yan Liu, Houqiang Li

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

R2-DDI: relation-aware feature refinement for drug-drug interaction prediction.

Jiacheng Lin, Lijun Wu, Jinhua Zhu, Xiaobo Liang, Yingce Xia, Shufang Xie, Tao Qin, Tie-Yan Liu

Briefings Bioinform., January, 2023

AMOM: Adaptive Masking over Masking for Conditional Masked Language Model.

Yisheng Xiao, Ruiyang Xu, Lijun Wu, Juntao Li, Tao Qin, Yan-Tie Liu, Min Zhang

CoRR, 2023

Retrieved Sequence Augmentation for Protein Representation Learning.

Chang Ma, Haiteng Zhao, Lin Zheng, Jiayi Xin, Qintong Li, Lijun Wu, Zhihong Deng, Yang Lu, Qi Liu, Lingpeng Kong

CoRR, 2023

Teacher-Student Cross-Domain Object Detection Model Combining Style Transfer and Adversarial Learning.

Lijun Wu, Zhe Cao, Zhicong Chen

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

CTHPose: An Efficient and Effective CNN-Transformer Hybrid Network for Human Pose Estimation.

Danya Chen, Lijun Wu, Zhicong Chen, Xufeng Lin

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

FABind: Fast and Accurate Protein-Ligand Binding.

Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dual-view Molecular Pre-training.

Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Wengang Zhou, Tao Qin, Houqiang Li, Tie-Yan Liu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design.

Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

CT4Rec: Simple yet Effective Consistency Training for Sequential Recommendation.

Chong Liu, Xiaoyang Liu, Rongqin Zheng, Lixin Zhang, Xiaobo Liang, Juntao Li, Lijun Wu, Min Zhang, Leyu Lin

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

𝒪-GNN: incorporating ring priors into molecular modeling.

Jinhua Zhu, Kehan Wu, Bohan Wang, Yingce Xia, Shufang Xie, Qi Meng, Lijun Wu, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Making Better Decision by Directly Planning in Continuous Control.

Jinhua Zhu, Yue Wang, Lijun Wu, Tao Qin, Wengang Zhou, Tie-Yan Liu, Houqiang Li

Proceedings of the Eleventh International Conference on Learning Representations, 2023

De Novo Molecular Generation via Connection-aware Motif Mining.

Zijie Geng, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Jie Wang, Yongdong Zhang, Feng Wu, Tie-Yan Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Filler Word Detection with Hard Category Mining and Inter-Category Focal Loss.

Zhiyuan Zhao, Lijun Wu, Chuanxin Tang, Dacheng Yin, Yucheng Zhao, Chong Luo

Proceedings of the IEEE International Conference on Acoustics, 2023

BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations.

Qizhi Pei, Wei Zhang, Jinhua Zhu, Kehan Wu, Kaiyuan Gao, Lijun Wu, Yingce Xia, Rui Yan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Revisiting Machine-Learning based Drug Repurposing: Drug Indications Are Not a Right Prediction Target.

Siun Kim, Jung-Hyun Won, David Seung U. Lee, Renqian Luo, Lijun Wu, Yingce Xia, Tao Qin, Howard Lee

Proceedings of the Conference on Health, Inference, and Learning, 2023

MolXPT: Wrapping Molecules with Text for Generative Pre-training.

Zequn Liu, Wei Zhang, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Ming Zhang, Tie-Yan Liu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Dynamic and Efficient Inference for Text Generation via BERT Family.

Xiaobo Liang, Juntao Li, Lijun Wu, Ziqiang Cao, Min Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

AMOM: Adaptive Masking over Masking for Conditional Masked Language Model.

Yisheng Xiao, Ruiyang Xu, Lijun Wu, Juntao Li, Tao Qin, Tie-Yan Liu, Min Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Retrosynthesis Prediction with Local Template Retrieval.

Shufang Xie, Rui Yan, Junliang Guo, Yingce Xia, Lijun Wu, Tao Qin

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Discovering drug-target interaction knowledge from biomedical literature.

Yutai Hou, Yingce Xia, Lijun Wu, Shufang Xie, Yang Fan, Jinhua Zhu, Tao Qin, Tie-Yan Liu

Bioinform., November, 2022

Direct Molecular Conformation Generation.

Jinhua Zhu, Yingce Xia, Chang Liu, Lijun Wu, Shufang Xie, Yusong Wang, Tong Wang, Tao Qin, Wengang Zhou, Houqiang Li, Haiguang Liu, Tie-Yan Liu

Trans. Mach. Learn. Res., 2022

A Two-DOF Linear Ultrasonic Motor With High Thrust Force Density and High Power Density Utilizing Torsional/Centrosymmetric-Bending/ Symmetric-Bending Modes.

Jiang Wu, Lijun Wu, Rui Song, Jianye Niu, Mingli Xie, Miaoyan Cao, Qiang Zhang, Yixiang Liu, Yibin Li

IEEE Trans. Ind. Electron., 2022

Multimodal Sentiment Analysis With Two-Phase Multi-Task Learning.

Bo Yang, Lijun Wu, Jinhua Zhu, Bo Shao, Xiaola Lin, Tie-Yan Liu

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Multi-Teacher Distillation With Single Model for Neural Machine Translation.

Xiaobo Liang, Lijun Wu, Juntao Li, Tao Qin, Min Zhang, Tie-Yan Liu

IEEE ACM Trans. Audio Speech Lang. Process., 2022

End-to-end entity-aware neural machine translation.

Shufang Xie, Yingce Xia, Lijun Wu, Yiqing Huang, Yang Fan, Tao Qin

Mach. Learn., 2022

A study of BERT for context-aware neural machine translation.

Xueqing Wu, Yingce Xia, Jinhua Zhu, Lijun Wu, Shufang Xie, Tao Qin

Mach. Learn., 2022

Multimodal sentiment analysis with unidirectional modality translation.

Bo Yang, Bo Shao, Lijun Wu, Xiaola Lin

Neurocomputing, 2022

Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design.

Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu

CoRR, 2022

Tailoring Molecules for Protein Pockets: a Transformer-based Generative Solution for Structured-based Drug Design.

Kehan Wu, Yingce Xia, Yang Fan, Pan Deng, Haiguang Liu, Lijun Wu, Shufang Xie, Tong Wang, Tao Qin, Tie-Yan Liu

CoRR, 2022

SMT-DTA: Improving Drug-Target Affinity Prediction with Semi-supervised Multi-task Training.

Qizhi Pei, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Haiguang Liu, Tie-Yan Liu

CoRR, 2022

A Mutually Reinforced Framework for Pretrained Sentence Embeddings.

Junhan Yang, Zheng Liu, Shitao Xiao, Jianxun Lian, Lijun Wu, Defu Lian, Guangzhong Sun, Xing Xie

CoRR, 2022

Dynamic Relation Discovery and Utilization in Multi-Entity Time Series Forecasting.

Lin Huang, Lijun Wu, Jia Zhang, Jiang Bian, Tie-Yan Liu

CoRR, 2022

AF₂: Adaptive Focus Framework for Aerial Imagery Segmentation.

Lin Huang, Qiyuan Dong, Lijun Wu, Jia Zhang, Jiang Bian, Tie-Yan Liu

CoRR, 2022

Direct Molecular Conformation Generation.

Jinhua Zhu, Yingce Xia, Chang Liu, Lijun Wu, Shufang Xie, Tong Wang, Yusong Wang, Wengang Zhou, Tao Qin, Houqiang Li, Tie-Yan Liu

CoRR, 2022

Back translation for molecule generation.

Yang Fan, Yingce Xia, Jinhua Zhu, Lijun Wu, Shufang Xie, Tao Qin

Bioinform., 2022

SPRoBERTa: protein embedding learning with local fragment modeling.

Lijun Wu, Chengcan Yin, Jinhua Zhu, Zhen Wu, Liang He, Yingce Xia, Shufang Xie, Tao Qin, Tie-Yan Liu

Briefings Bioinform., 2022

Unified 2D and 3D Pre-Training of Molecular Representations.

Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

RetroGraph: Retrosynthetic Planning with Graph Search.

Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Target-Side Input Augmentation for Sequence to Sequence Generation.

Shufang Xie, Ang Lv, Yingce Xia, Lijun Wu, Tao Qin, Tie-Yan Liu, Rui Yan

Proceedings of the Tenth International Conference on Learning Representations, 2022

An Ensemble Framework Integrating Whole Slide Pathological Images and miRNA Data to Predict Radiosensitivity of Breast Cancer Patients.

Chao Dong, Jie Liu, Wenhui Yan, Mengmeng Han, Lijun Wu, Junfeng Xia, Yannan Bin

Proceedings of the Intelligent Computing Theories and Application, 2022

Improving Temporal Generalization of Pre-trained Language Models with Lexical Semantic Change.

Zhaochen Su, Zecheng Tang, Xinyan Guan, Lijun Wu, Min Zhang, Juntao Li

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

JANUS: Joint Autoregressive and Non-autoregressive Training with Auxiliary Loss for Sequence Generation.

Xiaobo Liang, Lijun Wu, Juntao Li, Min Zhang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

A three-dimensional bit-level image encryption algorithm with Rubik's cube method.

Hegui Zhu, Lewen Dai, Yating Liu, Lijun Wu

Math. Comput. Simul., 2021

Research on parallel data processing of data mining platform in the background of cloud computing.

Lingrui Bu, Hui Zhang, Haiyan Xing, Lijun Wu

J. Intell. Syst., 2021

An Efficient Binary Convolutional Neural Network With Numerous Skip Connections for Fog Computing.

Lijun Wu, Xu Lin, Zhicong Chen, Jingchang Huang, Huawei Liu, Yang Yang

IEEE Internet Things J., 2021

C²-Rec: An Effective Consistency Constraint for Sequential Recommendation.

Chong Liu, Xiaoyang Liu, Rongqin Zheng, Lixin Zhang, Xiaobo Liang, Juntao Li, Lijun Wu, Min Zhang, Leyu Lin

CoRR, 2021

How to Leverage Multimodal EHR Data for Better Medical Predictions?

Bo Yang, Lijun Wu

CoRR, 2021

Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model.

Liang He, Shizhuo Zhang, Lijun Wu, Huanhuan Xia, Fusong Ju, He Zhang, Siyuan Liu, Yingce Xia, Jianwei Zhu, Pan Deng, Bin Shao, Tao Qin, Tie-Yan Liu

CoRR, 2021

Discovering Drug-Target Interaction Knowledge from Biomedical Literature.

Yutai Hou, Yingce Xia, Lijun Wu, Shufang Xie, Yang Fan, Jinhua Zhu, Wanxiang Che, Tao Qin, Tie-Yan Liu

CoRR, 2021

Solving high-order uncertain differential equations via Adams-Simpson method.

Yudong Hou, Lijun Wu, Yuhong Sheng

Comput. Appl. Math., 2021

Online Fault Diagnosis for Photovoltaic Arrays Based on Fisher Discrimination Dictionary Learning for Sparse Representation.

Peng Xi, Peijie Lin, Yaohai Lin, Haifang Zhou, Shuying Cheng, Zhicong Chen, Lijun Wu

IEEE Access, 2021

Learning from Inside: Self-driven Siamese Sampling and Reasoning for Video Question Answering.

Weijiang Yu, Haoteng Zheng, Mengfei Li, Lei Ji, Lijun Wu, Nong Xiao, Nan Duan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

R-Drop: Regularized Dropout for Neural Networks.

Xiaobo Liang, Lijun Wu, Juntao Li, Yue Wang, Qi Meng, Tao Qin, Wei Chen, Min Zhang, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost.

Zhen Wu, Lijun Wu, Qi Meng, Yingce Xia, Shufang Xie, Tao Qin, Xinyu Dai, Tie-Yan Liu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

mixSeq: A Simple Data Augmentation Methodfor Neural Machine Translation.

Xueqing Wu, Yingce Xia, Jinhua Zhu, Lijun Wu, Shufang Xie, Yang Fan, Tao Qin

Proceedings of the 18th International Conference on Spoken Language Translation, 2021

Design of an Inductive Power Transfer System with Constant Current and Constant Voltage Outputs Based on Multi-frequency Circuit.

Junjie Zhang, Zirui Yao, Lijun Wu, Hao Ma

Proceedings of the 30th IEEE International Symposium on Industrial Electronics, 2021

Temporally Correlated Task Scheduling for Sequence Learning.

Xueqing Wu, Lewen Wang, Yingce Xia, Weiqing Liu, Lijun Wu, Shufang Xie, Tao Qin, Tie-Yan Liu

Proceedings of the 38th International Conference on Machine Learning, 2021

IOT: Instance-wise Layer Reordering for Transformer Structures.

Jinhua Zhu, Lijun Wu, Yingce Xia, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu

Proceedings of the 9th International Conference on Learning Representations, 2021

How to leverage the multimodal EHR data for better medical prediction?

Bo Yang, Lijun Wu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Learning to Reweight with Deep Interactions.

Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Diabetic plantar pressure analysis using image fusion.

Luying Cao, Nilanjan Dey, Amira S. Ashour, Simon Fong, R. Simon Sherratt, Lijun Wu, Fuqian Shi

Multim. Tools Appl., 2020

Using multi-features to partition users for friends recommendation in location based social network.

Mingjun Xin, Lijun Wu

Inf. Process. Manag., 2020

An approach to the mobile social services recommendation algorithm based on association rules mining.

Mingjun Xin, Lijun Wu, Wenfei Liang, Jie Shu

Int. J. Serv. Technol. Manag., 2020

Institutional environment, internal control and corporate social responsibility disclosure quality: evidence from China.

Lijun Wu, Hua Bu

Int. J. Appl. Decis. Sci., 2020

ADD: Augmented Disentanglement Distillation Framework for Improving Stock Trend Forecasting.

Hongshun Tang, Lijun Wu, Weiqing Liu, Jiang Bian

CoRR, 2020

Masked Contrastive Representation Learning for Reinforcement Learning.

Jinhua Zhu, Yingce Xia, Lijun Wu, Jiajun Deng, Wengang Zhou, Tao Qin, Houqiang Li

CoRR, 2020

Learn to Use Future Information in Simultaneous Translation.

Xueqing Wu, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Tie-Yan Liu

CoRR, 2020

Learning to Teach with Deep Interactions.

Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li, Tie-Yan Liu

CoRR, 2020

Multi-branch Attentive Transformer.

Yang Fan, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Xiang-Yang Li, Tie-Yan Liu

CoRR, 2020

A Traveling-Wave Linear Ultrasonic Motor Driven by Two Torsional Vibrations: Design, Fabrication, and Performance Evaluation.

Jianye Niu, Jiang Wu, Miaoyan Cao, Lijun Wu

IEEE Access, 2020

Spatiotemporal Guided Self-Supervised Depth Completion from LiDAR and Monocular Camera.

Zhifeng Chen, Hantao Wang, Lijun Wu, Yanlin Zhou, Dapeng Oliver Wu

Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing, 2020

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection.

Xiang Li, Wenhai Wang, Lijun Wu, Shuo Chen, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Sequence Generation with Mixed Representations.

Lijun Wu, Shufang Xie, Yingce Xia, Yang Fan, Jian-Huang Lai, Tao Qin, Tie-Yan Liu

Proceedings of the 37th International Conference on Machine Learning, 2020

Incorporating BERT into Neural Machine Translation.

Jinhua Zhu, Yingce Xia, Lijun Wu, Di He, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu

Proceedings of the 8th International Conference on Learning Representations, 2020

Transductive Ensemble Learning for Neural Machine Translation.

Yiren Wang, Lijun Wu, Yingce Xia, Tao Qin, ChengXiang Zhai, Tie-Yan Liu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Beyond Error Propagation: Language Branching Also Affects the Accuracy of Sequence Generation.

Lijun Wu, Xu Tan, Tao Qin, Jianhuang Lai, Tie-Yan Liu

IEEE ACM Trans. Audio Speech Lang. Process., 2019

A User Profile Awareness Service Collaborative Recommendation Algorithm Under LBSN Environment.

Mingjun Xin, Lijun Wu, Shunxian Li

Int. J. Cooperative Inf. Syst., 2019

Microsoft Research Asia's Systems for WMT19.

Yingce Xia, Xu Tan, Fei Tian, Fei Gao, Weicong Chen, Yang Fan, Linyuan Gong, Yichong Leng, Renqian Luo, Yiren Wang, Lijun Wu, Jinhua Zhu, Tao Qin, Tie-Yan Liu

CoRR, 2019

Efficient Bidirectional Neural Machine Translation.

Xu Tan, Yingce Xia, Lijun Wu, Tao Qin

CoRR, 2019

BitFlow-Net: Toward Fully Binarized Convolutional Neural Networks.

Lijun Wu, Peiqing Jiang, Zhicong Chen, Xu Lin, Yunfeng Lai, Peijie Lin, Shuying Cheng

IEEE Access, 2019

Microsoft Research Asia's Systems for WMT19.

Yingce Xia, Xu Tan, Fei Tian, Fei Gao, Di He, Weicong Chen, Yang Fan, Linyuan Gong, Yichong Leng, Renqian Luo, Yiren Wang, Lijun Wu, Jinhua Zhu, Tao Qin, Tie-Yan Liu

Proceedings of the Fourth Conference on Machine Translation, 2019

Polarization Beam Splitter based on Tapered MCF with PDMS Substrate.

Chi Li, Wenbin Hu, Lijun Wu, Ai Zhou, Donglai Guo

Proceedings of the 2019 24th OptoElectronics and Communications Conference (OECC) and 2019 International Conference on Photonics in Switching and Computing (PSC), 2019

Pixel-Level Crack Detection in Images Using SegNet.

Chunge Song, Lijun Wu, Zhicong Chen, Haifang Zhou, Peijie Lin, Shuying Cheng, Zhenhui Wu

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2019

An Accurate 1D Camera Calibration Based on Weighted Similar-Invariant Linear Algorithm.

Lixia Lin, Lijun Wu, Songlin Lai, Zhicong Chen, Peijie Lin, Zhenhui Wu

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2019

Smartphone Based Outdoor Navigation and Obstacle Avoidance System for the Visually Impaired.

Qiaoyu Chen, Lijun Wu, Zhicong Chen, Peijie Lin, Shuying Cheng, Zhenhui Wu

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2019

Machine Translation With Weakly Paired Documents.

Lijun Wu, Jinhua Zhu, Di He, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Exploiting Monolingual Data at Scale for Neural Machine Translation.

Lijun Wu, Yiren Wang, Yingce Xia, Tao Qin, Jianhuang Lai, Tie-Yan Liu

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Depth Growing for Neural Machine Translation.

Lijun Wu, Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Soft Contextual Data Augmentation for Neural Machine Translation.

Fei Gao, Jinhua Zhu, Lijun Wu, Yingce Xia, Tao Qin, Xueqi Cheng, Wengang Zhou, Tie-Yan Liu

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Achieving Human Parity on Automatic Chinese to English News Translation.

Hany Hassan, Anthony Aue, Chang Chen, Vishal Chowdhary, Jonathan Clark, Christian Federmann, Xuedong Huang, Marcin Junczys-Dowmunt, William Lewis, Mu Li, Shujie Liu, Tie-Yan Liu, Renqian Luo, Arul Menezes, Tao Qin, Frank Seide, Xu Tan, Fei Tian, Lijun Wu, Shuangzhi Wu, Yingce Xia, Dongdong Zhang, Zhirui Zhang, Ming Zhou

CoRR, 2018

Symbolic model checking for discrete real-time systems.

Xiangyu Luo, Lijun Wu, Qingliang Chen, Haibo Li, Lixiao Zheng, Zuxi Chen

Sci. China Inf. Sci., 2018

dbCRSR: a manually curated database for regulation of cancer radiosensitivity.

Pengbo Wen, Junfeng Xia, Xianbin Cao, Bin Chen, Yinping Tao, Lijun Wu, An Xu, Guoping Zhao

Database J. Biol. Databases Curation, 2018

Learning to Teach with Dynamic Loss Functions.

Lijun Wu, Fei Tian, Yingce Xia, Yang Fan, Tao Qin, Jian-Huang Lai, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Efficient Sequence Learning with Group Recurrent Networks.

Fei Gao, Lijun Wu, Li Zhao, Tao Qin, Xueqi Cheng, Tie-Yan Liu

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

One-Dimensional Camera Calibration Based on PSO Algorithm.

Yuhuang Zhang, Lijun Wu, Zhicong Chen, Shuying Cheng, Peijie Lin

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2018

Optimal Data Collection of MP-MR-MC Wireless Sensors Network for Structural Monitoring.

Qinghua Li, Zhicong Chen, Lijun Wu, Shuying Cheng, Peijie Lin

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2018

Automated Pixel-Level Surface Crack Detection Using U-Net.

Jinshu Ji, Lijun Wu, Zhicong Chen, Jinling Yu, Peijie Lin, Shuying Cheng

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2018

A Study of Reinforcement Learning for Neural Machine Translation.

Lijun Wu, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter.

Lijun Wu, Xu Tan, Di He, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Adversarial Neural Machine Translation.

Lijun Wu, Yingce Xia, Fei Tian, Li Zhao, Tao Qin, Jianhuang Lai, Tie-Yan Liu

Proceedings of The 10th Asian Conference on Machine Learning, 2018

Word Attention for Sequence to Sequence Text Understanding.

Lijun Wu, Fei Tian, Li Zhao, Jianhuang Lai, Tie-Yan Liu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Reasoning about knowledge, belief and certainty in hierarchical multi-agent systems.

Lijun Wu, Kaile Su, Yabiao Han, Jingyu Chen, Xiangyu Lu

Frontiers Comput. Sci., 2017

Deliberation Networks: Sequence Generation Beyond One-Pass Decoding.

Yingce Xia, Fei Tian, Lijun Wu, Jianxin Lin, Tao Qin, Nenghai Yu, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Sequence Prediction with Unlabeled Data by Reward Function Learning.

Lijun Wu, Li Zhao, Tao Qin, Jianhuang Lai, Tie-Yan Liu

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

An Adaptive Malicious Domain Detection Mechanism with DNS Traffic.

Shuo Xu, Shuqin Li, Kun Meng, Lijun Wu, Meng Ding

Proceedings of the VI International Conference on Network, Communication and Computing, 2017

2016

Active Structural Control Based on Integration of <i>Η</i>_∞ Control and Equivalent-Input-Disturbance Approach.

Mingxing Fang, Lijun Wu, Jing Cheng, Youwu Du, Jinhua She

J. Adv. Comput. Intell. Intell. Informatics, 2016

A GA-SSO Based Intelligent Channel Assignment Approach for MR-MC Wireless Sensors Networks.

Zhiping Xu, Zhicong Chen, Lijun Wu, Peijie Lin, Shuying Cheng

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2016

2015

An I/O Efficient Model Checking Algorithm for Large-Scale Systems.

Lijun Wu, Huijia Huang, Kaile Su, Shaowei Cai, Xiaosong Zhang

IEEE Trans. Very Large Scale Integr. Syst., 2015

An I/O Efficient Approach for Detecting All Accepting Cycles.

Lijun Wu, Kaile Su, Shaowei Cai, Xiaosong Zhang, Chenyi Zhang, Shupeng Wang

IEEE Trans. Software Eng., 2015

Orderless and Blurred Visual Tracking via Spatio-temporal Context.

Manna Dai, Peijie Lin, Lijun Wu, Zhicong Chen, Songlin Lai, Jie Zhang, Shuying Cheng, Xiangjian He

Proceedings of the MultiMedia Modeling - 21st International Conference, 2015

Motion Detection System Based on Improved LBP Operator.

Peijie Lin, Bochun Zheng, Zhicong Chen, Lijun Wu, Shuying Cheng

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2015

On-line Monitoring and Fault Diagnosis of PV Array Based on BP Neural Network Optimized by Genetic Algorithm.

Hanwei Lin, Zhicong Chen, Lijun Wu, Peijie Lin, Shuying Cheng

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2015

2012

A complete first-order temporal BDI logic for forest multi-agent systems.

Lijun Wu, Kaile Su, Abdul Sattar, Qingliang Chen, Jinshu Su, Wei Wu

Knowl. Based Syst., 2012

Fault detection and diagnosis based on sparse representation classification (SRC).

Lijun Wu, Xiaogang Chen, Yi Peng, Qixiang Ye, Jianbin Jiao

Proceedings of the 2012 IEEE International Conference on Robotics and Biomimetics, 2012

2011

Design of a sliding wall climbing robot with a novel negative adsorption device.

Shanqiang Wu, Lijun Wu, Tao Liu

Proceedings of the 8th International Conference on Ubiquitous Robots and Ambient Intelligence, 2011

2010

A concurrent dynamic logic of knowledge, belief and certainty for multi-agent systems.

Lijun Wu, Jinshu Su, Kaile Su, Xiangyu Luo, Zhihua Yang

Knowl. Based Syst., 2010

Symbolic Model Checking the Knowledge in Herbivore Protocol.

Xiangyu Luo, Kaile Su, Ming Gu, Lijun Wu, Jinji Yang

Proceedings of the Model Checking and Artificial Intelligence - 6th International Workshop, 2010

2009

A Concurrent Dynamic Logic of Knowledge, Belief and Certainty for Multi-agent Systems.

Lijun Wu, Jinshu Su, Xiangyu Luo, Zhihua Yang, Qingliang Chen

Proceedings of the Advances in Artificial Intelligence, 2009

2007

Symbolic Model Checking Temporal Logics of Knowledge in Multi-Agent System Via Extended Mu-Calculus.

Lijun Wu, Jinshu Su

Proceedings of the Bio-Inspired Computational Intelligence and Applications, 2007

2005

Experimental verification of numerically optimized photonic crystal injector, Y-splitter, and bend.

M. Ayre, T. J. Karle, Lijun Wu, T. Davies, T. F. Krauss

IEEE J. Sel. Areas Commun., 2005

Model Checking Temporal Logics of Knowledge and Its Application in Security Verification.

Lijun Wu, Kaile Su, Qingliang Chen

Proceedings of the Computational Intelligence and Security, International Conference, 2005

1995

Intelligent optimization of component onsertion in multi-head concurrent operation PCBA machines.

Robert De Souza, Lijun Wu

J. Intell. Manuf., 1995