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2020 – today
- 2024
[j52]Hao Liu, Chen Chen, Ying Su, Enguang Zuo, Lijun Wu, Min Li, Xuecong Tian, Chenjie Chang, Zhiyuan Cheng, Xiaoyi Lv, Cheng Chen:
Tensor product graph diffusion based on nonlinear fusion of multi-source information to predict circRNA-disease associations. Appl. Soft Comput. 152: 111215 (2024)- [j51]Yang Du, Cheng Chen, Chen Chen, Yue Liu, Lijun Wu, Enguang Zuo, Xiaoyi Lv:
Feature fusion technology based on serum FTIR spectra combined with chaos theory in the disease auxiliary diagnosis. Appl. Soft Comput. 163: 111911 (2024) - [j50]Xuguang Zhou, Chen Chen, Xiaoyi Lv, Enguang Zuo, Min Li, Lijun Wu, Xiaomei Chen, Xue Wu, Cheng Chen:
CMACF: Transformer-based cross-modal attention cross-fusion model for systemic lupus erythematosus diagnosis combining Raman spectroscopy, FTIR spectroscopy, and metabolomics. Inf. Process. Manag. 61(6): 103804 (2024) - [j49]Issameldeen Elfadul
, Lijun Wu, Rashad Elhabob, Ahmed Elkhalil:
A privacy and compliance in regulated anonymous payment system based on blockchain. J. Ambient Intell. Humaniz. Comput. 15(8): 3141-3157 (2024) - [j48]Lijun Wu, Shangdong Qiu, Zhicong Chen:
Real-time semantic segmentation network based on parallel atrous convolution for short-term dense concatenate and attention feature fusion. J. Real Time Image Process. 21(3): 74 (2024) - [j47]Zhiyuan Li, Lijun Wu, Kaile Su, Wei Wu, Yulin Jing, Tong Wu, Weiwei Duan, Xiaofeng Yue, Xiyi Tong, Yizhou Han:
Coordination as inference in multi-agent reinforcement learning. Neural Networks 172: 106101 (2024) - [j46]Juntao Li, Xiaobo Liang, Lijun Wu, Yue Wang, Qi Meng, Tao Qin, Min Zhang, Tie-Yan Liu:
Randomness Regularization With Simple Consistency Training for Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5763-5778 (2024) - [j45]Lijun Wu, Yong Ma, Zhicong Chen:
Dense video super-resolution time-differential network with feature enrichment module. Signal Image Video Process. 18(11): 7887-7897 (2024) - [j44]Xiaobo Liang, Runze Mao, Lijun Wu, Juntao Li, Min Zhang, Qing Li:
Enhancing Low-Resource NLP by Consistency Training With Data and Model Perturbations. IEEE ACM Trans. Audio Speech Lang. Process. 32: 189-199 (2024) - [j43]Lijun Wu, Lanxin Chen, Zhicong Chen, Shuying Cheng, Zhaohui Chen:
CDS PosSR: Cross-Domain Supervised Unpaired Image Super-Resolution for Position-Sensitive Downstream Tasks. IEEE Trans. Instrum. Meas. 73: 1-9 (2024) - [c73]Zhiyuan Li, Wenshuai Zhao, Lijun Wu, Joni Pajarinen:
Backpropagation Through Agents. AAAI 2024: 13718-13726 - [c72]Qizhi Pei, Lijun Wu, Kaiyuan Gao, Xiaozhuan Liang, Yin Fang, Jinhua Zhu, Shufang Xie, Tao Qin, Rui Yan:
BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning. ACL (Findings) 2024: 1216-1240 - [c71]Qizhi Pei, Lijun Wu, Zhenyu He, Jinhua Zhu, Yingce Xia, Shufang Xie, Rui Yan:
Exploiting Pre-trained Models for Drug Target Affinity Prediction with Nearest Neighbors. CIKM 2024: 1856-1866 - [c70]Siun Kim, Jung-Hyun Won, David Seung U. Lee, Renqian Luo, Lijun Wu, Tao Qin, Howard Lee:
CReSE: Benchmark Data and Automatic Evaluation Framework for Recommending Eligibility Criteria from Clinical Trial Information. EACL (Findings) 2024: 2243-2273 - [c69]Chang Ma, Haiteng Zhao, Lin Zheng, Jiayi Xin, Qintong Li, Lijun Wu, Zhihong Deng, Yang Lu, Qi Liu, Sheng Wang, Lingpeng Kong:
Retrieved Sequence Augmentation for Protein Representation Learning. EMNLP 2024: 1738-1767 - [c68]Qi Deng, Lijun Wu, Kaile Su, Wei Wu, Zhiyuan Li, Weiwei Duan:
Hierarchical Fusion Framework for Multimodal Dialogue Response Generation. IJCNN 2024: 1-8 - [i54]Zhiyuan Li, Wenshuai Zhao, Lijun Wu, Joni Pajarinen:
AgentMixer: Multi-Agent Correlated Policy Factorization. CoRR abs/2401.08728 (2024) - [i53]Zhiyuan Li, Wenshuai Zhao, Lijun Wu, Joni Pajarinen:
Backpropagation Through Agents. CoRR abs/2401.12574 (2024) - [i52]Qizhi Pei, Lijun Wu, Kaiyuan Gao, Xiaozhuan Liang, Yin Fang, Jinhua Zhu, Shufang Xie, Tao Qin, Rui Yan:
BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning. CoRR abs/2402.17810 (2024) - [i51]Qizhi Pei, Lijun Wu, Kaiyuan Gao, Jinhua Zhu, Yue Wang, Zun Wang, Tao Qin, Rui Yan:
Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey. CoRR abs/2403.01528 (2024) - [i50]Kaiyuan Gao, Qizhi Pei, Jinhua Zhu, Tao Qin, Kun He, Lijun Wu:
FABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose Generation. CoRR abs/2403.20261 (2024) - [i49]Hongfei Wu, Lijun Wu, Guoqing Liu, Zhirong Liu, Bin Shao, Zun Wang:
SE3Set: Harnessing equivariant hypergraph neural networks for molecular representation learning. CoRR abs/2405.16511 (2024) - [i48]Zun Wang, Chang Liu, Nianlong Zou, He Zhang, Xinran Wei, Lin Huang, Lijun Wu, Bin Shao:
Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models. CoRR abs/2406.03794 (2024) - [i47]Qizhi Pei, Lijun Wu, Kaiyuan Gao, Jinhua Zhu, Rui Yan:
3D-MolT5: Towards Unified 3D Molecule-Text Modeling with 3D Molecular Tokenization. CoRR abs/2406.05797 (2024) - [i46]Qizhi Pei, Lijun Wu, Zhenyu He, Jinhua Zhu, Yingce Xia, Shufang Xie, Rui Yan:
Exploiting Pre-trained Models for Drug Target Affinity Prediction with Nearest Neighbors. CoRR abs/2407.15202 (2024) - [i45]Tianyi Bai, Ling Yang, Zhen Hao Wong, Jiahui Peng, Xinlin Zhuang, Chi Zhang, Lijun Wu, Jiantao Qiu, Wentao Zhang, Binhang Yuan, Conghui He:
Multi-Agent Collaborative Data Selection for Efficient LLM Pretraining. CoRR abs/2410.08102 (2024) - [i44]Liang He, Peiran Jin, Yaosen Min, Shufang Xie, Lijun Wu, Tao Qin, Xiaozhuan Liang, Kaiyuan Gao, Yuliang Jiang, Tie-Yan Liu:
SFM-Protein: Integrative Co-evolutionary Pre-training for Advanced Protein Sequence Representation. CoRR abs/2410.24022 (2024) - 2023
- [j42]Yue Wang, Lijun Wu, Juntao Li, Xiaobo Liang, Min Zhang:
Are the BERT family zero-shot learners? A study on their potential and limitations. Artif. Intell. 322: 103953 (2023) - [j41]Jiacheng Lin, Lijun Wu, Jinhua Zhu, Xiaobo Liang, Yingce Xia, Shufang Xie, Tao Qin, Tie-Yan Liu:
R2-DDI: relation-aware feature refinement for drug-drug interaction prediction. Briefings Bioinform. 24(1) (2023) - [j40]Qizhi Pei, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Haiguang Liu, Tie-Yan Liu, Rui Yan:
Breaking the barriers of data scarcity in drug-target affinity prediction. Briefings Bioinform. 24(6) (2023) - [j39]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:
Predicting very early recurrence in intrahepatic cholangiocarcinoma after curative hepatectomy using machine learning radiomics based on CECT: A multi-institutional study. Comput. Biol. Medicine 167: 107612 (2023) - [j38]Shiqi Gong, Qi Meng, Yue Wang, Lijun Wu, Wei Chen, Zhiming Ma, Tie-Yan Liu:
Incorporating NODE with pre-trained neural differential operator for learning dynamics. Neurocomputing 528: 48-58 (2023) - [j37]Zhicong Chen, Haoxin Zheng, Jingchang Huang, Lijun Wu, Shuying Cheng, Qianwei Zhou, Yang Yang:
A Wireless Gunshot Recognition System Based on Tri-Axis Accelerometer and Lightweight Deep Learning. IEEE Internet Things J. 10(19): 17450-17464 (2023) - [j36]Jinhua Zhu, Yingce Xia, Lijun Wu, Jiajun Deng, Wengang Zhou, Tao Qin, Tie-Yan Liu, Houqiang Li:
Masked Contrastive Representation Learning for Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3421-3433 (2023) - [j35]Yisheng Xiao, Lijun Wu, Junliang Guo, Juntao Li, Min Zhang, Tao Qin, Tie-Yan Liu:
A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11407-11427 (2023) - [j34]Zhiyuan Li, Lijun Wu, Xiangyun Zeng, Xiaofeng Yue, Yulin Jing, Wei Wu, Kaile Su:
Online Coordinated NFV Resource Allocation via Novel Machine Learning Techniques. IEEE Trans. Netw. Serv. Manag. 20(1): 563-577 (2023) - [c67]Shufang Xie, Rui Yan, Junliang Guo, Yingce Xia, Lijun Wu, Tao Qin:
Retrosynthesis Prediction with Local Template Retrieval. AAAI 2023: 5330-5338 - [c66]Yisheng Xiao, Ruiyang Xu, Lijun Wu, Juntao Li, Tao Qin, Tie-Yan Liu, Min Zhang:
AMOM: Adaptive Masking over Masking for Conditional Masked Language Model. AAAI 2023: 13789-13797 - [c65]Zequn Liu, Wei Zhang, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Ming Zhang, Tie-Yan Liu:
MolXPT: Wrapping Molecules with Text for Generative Pre-training. ACL (2) 2023: 1606-1616 - [c64]Xiaobo Liang, Juntao Li, Lijun Wu, Ziqiang Cao, Min Zhang:
Dynamic and Efficient Inference for Text Generation via BERT Family. ACL (1) 2023: 2883-2897 - [c63]Siun Kim, Jung-Hyun Won, David Seung U. Lee, Renqian Luo, Lijun Wu, Yingce Xia, Tao Qin, Howard Lee:
Revisiting Machine-Learning based Drug Repurposing: Drug Indications Are Not a Right Prediction Target. CHIL 2023: 100-116 - [c62]Qizhi Pei, Wei Zhang, Jinhua Zhu, Kehan Wu, Kaiyuan Gao, Lijun Wu, Yingce Xia, Rui Yan:
BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations. EMNLP 2023: 1102-1123 - [c61]Zhiyuan Zhao, Lijun Wu, Chuanxin Tang, Dacheng Yin, Yucheng Zhao, Chong Luo:
Filler Word Detection with Hard Category Mining and Inter-Category Focal Loss. ICASSP 2023: 1-5 - [c60]Zijie Geng, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Jie Wang, Yongdong Zhang, Feng Wu, Tie-Yan Liu:
De Novo Molecular Generation via Connection-aware Motif Mining. ICLR 2023 - [c59]Jinhua Zhu, Yue Wang, Lijun Wu, Tao Qin, Wengang Zhou, Tie-Yan Liu, Houqiang Li:
Making Better Decision by Directly Planning in Continuous Control. ICLR 2023 - [c58]Jinhua Zhu, Kehan Wu, Bohan Wang, Yingce Xia, Shufang Xie, Qi Meng, Lijun Wu, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu:
𝒪-GNN: incorporating ring priors into molecular modeling. ICLR 2023 - [c57]Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu:
Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design. KDD 2023: 506-517 - [c56]Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Wengang Zhou, Tao Qin, Houqiang Li, Tie-Yan Liu:
Dual-view Molecular Pre-training. KDD 2023: 3615-3627 - [c55]Chong Liu, Xiaoyang Liu, Rongqin Zheng, Lixin Zhang, Xiaobo Liang, Juntao Li, Lijun Wu, Min Zhang, Leyu Lin:
CT4Rec: Simple yet Effective Consistency Training for Sequential Recommendation. KDD 2023: 3901-3913 - [c54]Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan:
FABind: Fast and Accurate Protein-Ligand Binding. NeurIPS 2023 - [c53]Danya Chen, Lijun Wu, Zhicong Chen, Xufeng Lin:
CTHPose: An Efficient and Effective CNN-Transformer Hybrid Network for Human Pose Estimation. PRCV (5) 2023: 327-339 - [c52]Lijun Wu, Zhe Cao, Zhicong Chen:
Teacher-Student Cross-Domain Object Detection Model Combining Style Transfer and Adversarial Learning. PRCV (10) 2023: 334-345 - [i43]Zijie Geng, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Jie Wang, Yongdong Zhang, Feng Wu, Tie-Yan Liu:
De Novo Molecular Generation via Connection-aware Motif Mining. CoRR abs/2302.01129 (2023) - [i42]Chang Ma, Haiteng Zhao, Lin Zheng, Jiayi Xin, Qintong Li, Lijun Wu, Zhihong Deng, Yang Lu, Qi Liu, Lingpeng Kong:
Retrieved Sequence Augmentation for Protein Representation Learning. CoRR abs/2302.12563 (2023) - [i41]Yisheng Xiao, Ruiyang Xu, Lijun Wu, Juntao Li, Tao Qin, Yan-Tie Liu, Min Zhang:
AMOM: Adaptive Masking over Masking for Conditional Masked Language Model. CoRR abs/2303.07457 (2023) - [i40]Zhiyuan Zhao, Lijun Wu, Chuanxin Tang, Dacheng Yin, Yucheng Zhao, Chong Luo:
Filler Word Detection with Hard Category Mining and Inter-Category Focal Loss. CoRR abs/2304.05922 (2023) - [i39]Zequn Liu, Wei Zhang, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Ming Zhang, Tie-Yan Liu:
MolXPT: Wrapping Molecules with Text for Generative Pre-training. CoRR abs/2305.10688 (2023) - [i38]Shufang Xie, Rui Yan, Junliang Guo, Yingce Xia, Lijun Wu, Tao Qin:
Retrosynthesis Prediction with Local Template Retrieval. CoRR abs/2306.04123 (2023) - [i37]Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan:
FABind: Fast and Accurate Protein-Ligand Binding. CoRR abs/2310.06763 (2023) - [i36]Qizhi Pei, Wei Zhang, Jinhua Zhu, Kehan Wu, Kaiyuan Gao, Lijun Wu, Yingce Xia, Rui Yan:
BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associations. CoRR abs/2310.07276 (2023) - 2022
- [j33]Lijun Wu, Chengcan Yin, Jinhua Zhu, Zhen Wu, Liang He, Yingce Xia, Shufang Xie, Tao Qin, Tie-Yan Liu:
SPRoBERTa: protein embedding learning with local fragment modeling. Briefings Bioinform. 23(6) (2022) - [j32]Yang Fan, Yingce Xia, Jinhua Zhu, Lijun Wu, Shufang Xie, Tao Qin:
Back translation for molecule generation. Bioinform. 38(5): 1244-1251 (2022) - [j31]Yutai Hou, Yingce Xia, Lijun Wu, Shufang Xie, Yang Fan, Jinhua Zhu, Tao Qin, Tie-Yan Liu:
Discovering drug-target interaction knowledge from biomedical literature. Bioinform. 38(22): 5100-5107 (2022) - [j30]Bo Yang, Bo Shao, Lijun Wu, Xiaola Lin:
Multimodal sentiment analysis with unidirectional modality translation. Neurocomputing 467: 130-137 (2022) - [j29]Xueqing Wu, Yingce Xia, Jinhua Zhu, Lijun Wu, Shufang Xie, Tao Qin:
A study of BERT for context-aware neural machine translation. Mach. Learn. 111(3): 917-935 (2022) - [j28]Shufang Xie, Yingce Xia, Lijun Wu, Yiqing Huang, Yang Fan, Tao Qin:
End-to-end entity-aware neural machine translation. Mach. Learn. 111(3): 1181-1203 (2022) - [j27]Xiaobo Liang, Lijun Wu, Juntao Li, Tao Qin, Min Zhang, Tie-Yan Liu:
Multi-Teacher Distillation With Single Model for Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 30: 992-1002 (2022) - [j26]Bo Yang, Lijun Wu, Jinhua Zhu, Bo Shao, Xiaola Lin, Tie-Yan Liu:
Multimodal Sentiment Analysis With Two-Phase Multi-Task Learning. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2015-2024 (2022) - [j25]Jiang Wu, Lijun Wu, Rui Song, Jianye Niu, Mingli Xie, Miaoyan Cao, Qiang Zhang, Yixiang Liu, Yibin Li:
A Two-DOF Linear Ultrasonic Motor With High Thrust Force Density and High Power Density Utilizing Torsional/Centrosymmetric-Bending/ Symmetric-Bending Modes. IEEE Trans. Ind. Electron. 69(8): 8220-8230 (2022) - [j24]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:
Direct Molecular Conformation Generation. Trans. Mach. Learn. Res. 2022 (2022) - [c51]Zhaochen Su, Zecheng Tang, Xinyan Guan, Lijun Wu, Min Zhang, Juntao Li:
Improving Temporal Generalization of Pre-trained Language Models with Lexical Semantic Change. EMNLP 2022: 6380-6393 - [c50]Xiaobo Liang, Lijun Wu, Juntao Li, Min Zhang:
JANUS: Joint Autoregressive and Non-autoregressive Training with Auxiliary Loss for Sequence Generation. EMNLP 2022: 8050-8060 - [c49]Chao Dong, Jie Liu, Wenhui Yan, Mengmeng Han, Lijun Wu, Junfeng Xia, Yannan Bin:
An Ensemble Framework Integrating Whole Slide Pathological Images and miRNA Data to Predict Radiosensitivity of Breast Cancer Patients. ICIC (2) 2022: 757-766 - [c48]Shufang Xie, Ang Lv, Yingce Xia, Lijun Wu, Tao Qin, Tie-Yan Liu, Rui Yan:
Target-Side Input Augmentation for Sequence to Sequence Generation. ICLR 2022 - [c47]Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin:
RetroGraph: Retrosynthetic Planning with Graph Search. KDD 2022: 2120-2129 - [c46]Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu:
Unified 2D and 3D Pre-Training of Molecular Representations. KDD 2022: 2626-2636 - [i35]Jinhua Zhu, Yingce Xia, Chang Liu, Lijun Wu, Shufang Xie, Tong Wang, Yusong Wang, Wengang Zhou, Tao Qin, Houqiang Li, Tie-Yan Liu:
Direct Molecular Conformation Generation. CoRR abs/2202.01356 (2022) - [i34]Lin Huang, Qiyuan Dong, Lijun Wu, Jia Zhang, Jiang Bian, Tie-Yan Liu:
AF2: Adaptive Focus Framework for Aerial Imagery Segmentation. CoRR abs/2202.10322 (2022) - [i33]Lin Huang, Lijun Wu, Jia Zhang, Jiang Bian, Tie-Yan Liu:
Dynamic Relation Discovery and Utilization in Multi-Entity Time Series Forecasting. CoRR abs/2202.10586 (2022) - [i32]Junhan Yang, Zheng Liu, Shitao Xiao, Jianxun Lian, Lijun Wu, Defu Lian, Guangzhong Sun, Xing Xie:
A Mutually Reinforced Framework for Pretrained Sentence Embeddings. CoRR abs/2202.13802 (2022) - [i31]Yisheng Xiao, Lijun Wu, Junliang Guo, Juntao Li, Min Zhang, Tao Qin, Tie-Yan Liu:
A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond. CoRR abs/2204.09269 (2022) - [i30]Qizhi Pei, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Haiguang Liu, Tie-Yan Liu:
SMT-DTA: Improving Drug-Target Affinity Prediction with Semi-supervised Multi-task Training. CoRR abs/2206.09818 (2022) - [i29]Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin:
RetroGraph: Retrosynthetic Planning with Graph Search. CoRR abs/2206.11477 (2022) - [i28]Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu:
Unified 2D and 3D Pre-Training of Molecular Representations. CoRR abs/2207.08806 (2022) - [i27]Kehan Wu, Yingce Xia, Yang Fan, Pan Deng, Haiguang Liu, Lijun Wu, Shufang Xie, Tong Wang, Tao Qin, Tie-Yan Liu:
Tailoring Molecules for Protein Pockets: a Transformer-based Generative Solution for Structured-based Drug Design. CoRR abs/2209.06158 (2022) - [i26]Zhaochen Su, Zecheng Tang, Xinyan Guan, Juntao Li, Lijun Wu, Min Zhang:
Improving Temporal Generalization of Pre-trained Language Models with Lexical Semantic Change. CoRR abs/2210.17127 (2022) - [i25]Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu:
Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design. CoRR abs/2211.08406 (2022) - 2021
- [j23]Peng Xi, Peijie Lin, Yaohai Lin, Haifang Zhou, Shuying Cheng, Zhicong Chen, Lijun Wu:
Online Fault Diagnosis for Photovoltaic Arrays Based on Fisher Discrimination Dictionary Learning for Sparse Representation. IEEE Access 9: 30180-30192 (2021) - [j22]Yudong Hou, Lijun Wu, Yuhong Sheng:
Solving high-order uncertain differential equations via Adams-Simpson method. Comput. Appl. Math. 40(7) (2021) - [j21]Lijun Wu, Xu Lin, Zhicong Chen, Jingchang Huang, Huawei Liu, Yang Yang:
An Efficient Binary Convolutional Neural Network With Numerous Skip Connections for Fog Computing. IEEE Internet Things J. 8(14): 11357-11367 (2021) - [j20]Lingrui Bu, Hui Zhang, Haiyan Xing, Lijun Wu:
Research on parallel data processing of data mining platform in the background of cloud computing. J. Intell. Syst. 30(1): 479-486 (2021) - [j19]Hegui Zhu, Lewen Dai, Yating Liu, Lijun Wu:
A three-dimensional bit-level image encryption algorithm with Rubik's cube method. Math. Comput. Simul. 185: 754-770 (2021) - [c45]Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li:
Learning to Reweight with Deep Interactions. AAAI 2021: 7385-7393 - [c44]Bo Yang, Lijun Wu:
How to leverage the multimodal EHR data for better medical prediction? EMNLP (1) 2021: 4029-4038 - [c43]Jinhua Zhu, Lijun Wu, Yingce Xia, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu:
IOT: Instance-wise Layer Reordering for Transformer Structures. ICLR 2021 - [c42]Xueqing Wu, Lewen Wang, Yingce Xia, Weiqing Liu, Lijun Wu, Shufang Xie, Tao Qin, Tie-Yan Liu:
Temporally Correlated Task Scheduling for Sequence Learning. ICML 2021: 11274-11284 - [c41]Junjie Zhang, Zirui Yao, Lijun Wu, Hao Ma:
Design of an Inductive Power Transfer System with Constant Current and Constant Voltage Outputs Based on Multi-frequency Circuit. ISIE 2021: 1-6 - [c40]Xueqing Wu, Yingce Xia, Jinhua Zhu, Lijun Wu, Shufang Xie, Yang Fan, Tao Qin:
mixSeq: A Simple Data Augmentation Methodfor Neural Machine Translation. IWSLT 2021: 192-197 - [c39]Zhen Wu, Lijun Wu, Qi Meng, Yingce Xia, Shufang Xie, Tao Qin, Xinyu Dai, Tie-Yan Liu:
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost. NAACL-HLT 2021: 3865-3878 - [c38]Xiaobo Liang, Lijun Wu, Juntao Li, Yue Wang, Qi Meng, Tao Qin, Wei Chen, Min Zhang, Tie-Yan Liu:
R-Drop: Regularized Dropout for Neural Networks. NeurIPS 2021: 10890-10905 - [c37]Weijiang Yu, Haoteng Zheng, Mengfei Li, Lei Ji, Lijun Wu, Nong Xiao, Nan Duan:
Learning from Inside: Self-driven Siamese Sampling and Reasoning for Video Question Answering. NeurIPS 2021: 26462-26474 - [i24]Jinhua Zhu, Lijun Wu, Yingce Xia, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu:
IOT: Instance-wise Layer Reordering for Transformer Structures. CoRR abs/2103.03457 (2021) - [i23]Zhen Wu, Lijun Wu, Qi Meng, Yingce Xia, Shufang Xie, Tao Qin, Xinyu Dai, Tie-Yan Liu:
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost. CoRR abs/2104.04946 (2021) - [i22]Shiqi Gong, Qi Meng, Yue Wang, Lijun Wu, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu:
Incorporating NODE with Pre-trained Neural Differential Operator for Learning Dynamics. CoRR abs/2106.04166 (2021) - [i21]Xiaobo Liang, Lijun Wu, Juntao Li, Yue Wang, Qi Meng, Tao Qin, Wei Chen, Min Zhang, Tie-Yan Liu:
R-Drop: Regularized Dropout for Neural Networks. CoRR abs/2106.14448 (2021) - [i20]Yutai Hou, Yingce Xia, Lijun Wu, Shufang Xie, Yang Fan, Jinhua Zhu, Wanxiang Che, Tao Qin, Tie-Yan Liu:
Discovering Drug-Target Interaction Knowledge from Biomedical Literature. CoRR abs/2109.13187 (2021) - [i19]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:
Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model. CoRR abs/2110.15527 (2021) - [i18]Bo Yang, Lijun Wu:
How to Leverage Multimodal EHR Data for Better Medical Predictions? CoRR abs/2110.15763 (2021) - [i17]Chong Liu, Xiaoyang Liu, Rongqin Zheng, Lixin Zhang, Xiaobo Liang, Juntao Li, Lijun Wu, Min Zhang, Leyu Lin:
C2-Rec: An Effective Consistency Constraint for Sequential Recommendation. CoRR abs/2112.06668 (2021) - 2020
- [j18]Jianye Niu, Jiang Wu, Miaoyan Cao, Lijun Wu:
A Traveling-Wave Linear Ultrasonic Motor Driven by Two Torsional Vibrations: Design, Fabrication, and Performance Evaluation. IEEE Access 8: 122554-122564 (2020) - [j17]Lijun Wu, Hua Bu:
Institutional environment, internal control and corporate social responsibility disclosure quality: evidence from China. Int. J. Appl. Decis. Sci. 13(1): 1-20 (2020) - [j16]Mingjun Xin, Lijun Wu, Wenfei Liang, Jie Shu:
An approach to the mobile social services recommendation algorithm based on association rules mining. Int. J. Serv. Technol. Manag. 26(2/3): 115-130 (2020) - [j15]Mingjun Xin, Lijun Wu:
Using multi-features to partition users for friends recommendation in location based social network. Inf. Process. Manag. 57(1) (2020) - [j14]Luying Cao, Nilanjan Dey, Amira S. Ashour, Simon Fong, R. Simon Sherratt, Lijun Wu, Fuqian Shi:
Diabetic plantar pressure analysis using image fusion. Multim. Tools Appl. 79(15-16): 11213-11236 (2020) - [c36]Yiren Wang, Lijun Wu, Yingce Xia, Tao Qin, ChengXiang Zhai, Tie-Yan Liu:
Transductive Ensemble Learning for Neural Machine Translation. AAAI 2020: 6291-6298 - [c35]Jinhua Zhu, Yingce Xia, Lijun Wu, Di He, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu:
Incorporating BERT into Neural Machine Translation. ICLR 2020 - [c34]Lijun Wu, Shufang Xie, Yingce Xia, Yang Fan, Jian-Huang Lai, Tao Qin, Tie-Yan Liu:
Sequence Generation with Mixed Representations. ICML 2020: 10388-10398 - [c33]Xiang Li, Wenhai Wang, Lijun Wu, Shuo Chen, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang:
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection. NeurIPS 2020 - [c32]Zhifeng Chen, Hantao Wang, Lijun Wu, Yanlin Zhou, Dapeng Oliver Wu:
Spatiotemporal Guided Self-Supervised Depth Completion from LiDAR and Monocular Camera. VCIP 2020: 54-57 - [i16]Jinhua Zhu, Yingce Xia, Lijun Wu, Di He, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu:
Incorporating BERT into Neural Machine Translation. CoRR abs/2002.06823 (2020) - [i15]Xiang Li, Wenhai Wang, Lijun Wu, Shuo Chen, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang:
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection. CoRR abs/2006.04388 (2020) - [i14]Yang Fan, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Xiang-Yang Li, Tie-Yan Liu:
Multi-branch Attentive Transformer. CoRR abs/2006.10270 (2020) - [i13]Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li, Tie-Yan Liu:
Learning to Teach with Deep Interactions. CoRR abs/2007.04649 (2020) - [i12]Xueqing Wu, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Tie-Yan Liu:
Learn to Use Future Information in Simultaneous Translation. CoRR abs/2007.05290 (2020) - [i11]Jinhua Zhu, Yingce Xia, Lijun Wu, Jiajun Deng, Wengang Zhou, Tao Qin, Houqiang Li:
Masked Contrastive Representation Learning for Reinforcement Learning. CoRR abs/2010.07470 (2020) - [i10]Hongshun Tang, Lijun Wu, Weiqing Liu, Jiang Bian:
ADD: Augmented Disentanglement Distillation Framework for Improving Stock Trend Forecasting. CoRR abs/2012.06289 (2020)
2010 – 2019
- 2019
- [j13]Lijun Wu, Peiqing Jiang, Zhicong Chen, Xu Lin, Yunfeng Lai, Peijie Lin, Shuying Cheng:
BitFlow-Net: Toward Fully Binarized Convolutional Neural Networks. IEEE Access 7: 154617-154626 (2019) - [j12]Mingjun Xin, Lijun Wu, Shunxian Li:
A User Profile Awareness Service Collaborative Recommendation Algorithm Under LBSN Environment. Int. J. Cooperative Inf. Syst. 28(3): 1950008:1-1950008:24 (2019) - [j11]Lijun Wu, Xu Tan, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Beyond Error Propagation: Language Branching Also Affects the Accuracy of Sequence Generation. IEEE ACM Trans. Audio Speech Lang. Process. 27(12): 1868-1879 (2019) - [c31]Fei Gao, Jinhua Zhu, Lijun Wu, Yingce Xia, Tao Qin, Xueqi Cheng, Wengang Zhou, Tie-Yan Liu:
Soft Contextual Data Augmentation for Neural Machine Translation. ACL (1) 2019: 5539-5544 - [c30]Lijun Wu, Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Depth Growing for Neural Machine Translation. ACL (1) 2019: 5558-5563 - [c29]Lijun Wu, Yiren Wang, Yingce Xia, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Exploiting Monolingual Data at Scale for Neural Machine Translation. EMNLP/IJCNLP (1) 2019: 4205-4215 - [c28]Lijun Wu, Jinhua Zhu, Di He, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Machine Translation With Weakly Paired Documents. EMNLP/IJCNLP (1) 2019: 4374-4383 - [c27]Qiaoyu Chen, Lijun Wu, Zhicong Chen, Peijie Lin, Shuying Cheng, Zhenhui Wu:
Smartphone Based Outdoor Navigation and Obstacle Avoidance System for the Visually Impaired. MIWAI 2019: 26-37 - [c26]Lixia Lin, Lijun Wu, Songlin Lai, Zhicong Chen, Peijie Lin, Zhenhui Wu:
An Accurate 1D Camera Calibration Based on Weighted Similar-Invariant Linear Algorithm. MIWAI 2019: 64-75 - [c25]Chunge Song, Lijun Wu, Zhicong Chen, Haifang Zhou, Peijie Lin, Shuying Cheng, Zhenhui Wu:
Pixel-Level Crack Detection in Images Using SegNet. MIWAI 2019: 247-254 - [c24]Chi Li, Wenbin Hu, Lijun Wu, Ai Zhou, Donglai Guo:
Polarization Beam Splitter based on Tapered MCF with PDMS Substrate. OECC/PSC 2019: 1-3 - [c23]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:
Microsoft Research Asia's Systems for WMT19. WMT (2) 2019: 424-433 - [i9]Jinhua Zhu, Fei Gao, Lijun Wu, Yingce Xia, Tao Qin, Wengang Zhou, Xueqi Cheng, Tie-Yan Liu:
Soft Contextual Data Augmentation for Neural Machine Translation. CoRR abs/1905.10523 (2019) - [i8]Lijun Wu, Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Depth Growing for Neural Machine Translation. CoRR abs/1907.01968 (2019) - [i7]Xu Tan, Yingce Xia, Lijun Wu, Tao Qin:
Efficient Bidirectional Neural Machine Translation. CoRR abs/1908.09329 (2019) - [i6]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:
Microsoft Research Asia's Systems for WMT19. CoRR abs/1911.06191 (2019) - 2018
- [j10]Pengbo Wen, Junfeng Xia, Xianbin Cao, Bin Chen, Yinping Tao, Lijun Wu, An Xu, Guoping Zhao:
dbCRSR: a manually curated database for regulation of cancer radiosensitivity. Database J. Biol. Databases Curation 2018: bay049 (2018) - [j9]Xiangyu Luo, Lijun Wu, Qingliang Chen, Haibo Li, Lixiao Zheng, Zuxi Chen:
Symbolic model checking for discrete real-time systems. Sci. China Inf. Sci. 61(5): 052106:1-052106:23 (2018) - [c22]Lijun Wu, Fei Tian, Li Zhao, Jianhuang Lai, Tie-Yan Liu:
Word Attention for Sequence to Sequence Text Understanding. AAAI 2018: 5578-5585 - [c21]Lijun Wu, Yingce Xia, Fei Tian, Li Zhao, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Adversarial Neural Machine Translation. ACML 2018: 534-549 - [c20]Lijun Wu, Xu Tan, Di He, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter. EMNLP 2018: 3602-3611 - [c19]Lijun Wu, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
A Study of Reinforcement Learning for Neural Machine Translation. EMNLP 2018: 3612-3621 - [c18]Jinshu Ji, Lijun Wu, Zhicong Chen, Jinling Yu, Peijie Lin, Shuying Cheng:
Automated Pixel-Level Surface Crack Detection Using U-Net. MIWAI 2018: 69-78 - [c17]Qinghua Li, Zhicong Chen, Lijun Wu, Shuying Cheng, Peijie Lin:
Optimal Data Collection of MP-MR-MC Wireless Sensors Network for Structural Monitoring. MIWAI 2018: 92-103 - [c16]Yuhuang Zhang, Lijun Wu, Zhicong Chen, Shuying Cheng, Peijie Lin:
One-Dimensional Camera Calibration Based on PSO Algorithm. MIWAI 2018: 212-218 - [c15]Fei Gao, Lijun Wu, Li Zhao, Tao Qin, Xueqi Cheng, Tie-Yan Liu:
Efficient Sequence Learning with Group Recurrent Networks. NAACL-HLT 2018: 799-808 - [c14]Lijun Wu, Fei Tian, Yingce Xia, Yang Fan, Tao Qin, Jian-Huang Lai, Tie-Yan Liu:
Learning to Teach with Dynamic Loss Functions. NeurIPS 2018: 6467-6478 - [i5]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:
Achieving Human Parity on Automatic Chinese to English News Translation. CoRR abs/1803.05567 (2018) - [i4]Lijun Wu, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
A Study of Reinforcement Learning for Neural Machine Translation. CoRR abs/1808.08866 (2018) - [i3]Lijun Wu, Xu Tan, Di He, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter. CoRR abs/1809.00120 (2018) - [i2]Lijun Wu, Fei Tian, Yingce Xia, Yang Fan, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Learning to Teach with Dynamic Loss Functions. CoRR abs/1810.12081 (2018) - 2017
- [j8]Lijun Wu, Kaile Su, Yabiao Han, Jingyu Chen, Xiangyu Lu:
Reasoning about knowledge, belief and certainty in hierarchical multi-agent systems. Frontiers Comput. Sci. 11(3): 499-510 (2017) - [c13]Shuo Xu, Shuqin Li, Kun Meng, Lijun Wu, Meng Ding:
An Adaptive Malicious Domain Detection Mechanism with DNS Traffic. ICNCC 2017: 86-91 - [c12]Lijun Wu, Li Zhao, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Sequence Prediction with Unlabeled Data by Reward Function Learning. IJCAI 2017: 3098-3104 - [c11]Yingce Xia, Fei Tian, Lijun Wu, Jianxin Lin, Tao Qin, Nenghai Yu, Tie-Yan Liu:
Deliberation Networks: Sequence Generation Beyond One-Pass Decoding. NIPS 2017: 1784-1794 - [i1]Lijun Wu, Yingce Xia, Li Zhao, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Adversarial Neural Machine Translation. CoRR abs/1704.06933 (2017) - 2016
- [j7]Mingxing Fang, Lijun Wu, Jing Cheng, Youwu Du, Jinhua She:
Active Structural Control Based on Integration of Η∞ Control and Equivalent-Input-Disturbance Approach. J. Adv. Comput. Intell. Intell. Informatics 20(2): 197-204 (2016) - [c10]Zhiping Xu, Zhicong Chen, Lijun Wu, Peijie Lin, Shuying Cheng:
A GA-SSO Based Intelligent Channel Assignment Approach for MR-MC Wireless Sensors Networks. MIWAI 2016: 304-311 - 2015
- [j6]Lijun Wu, Kaile Su, Shaowei Cai, Xiaosong Zhang, Chenyi Zhang, Shupeng Wang:
An I/O Efficient Approach for Detecting All Accepting Cycles. IEEE Trans. Software Eng. 41(8): 730-744 (2015) - [j5]Lijun Wu, Huijia Huang, Kaile Su, Shaowei Cai, Xiaosong Zhang:
An I/O Efficient Model Checking Algorithm for Large-Scale Systems. IEEE Trans. Very Large Scale Integr. Syst. 23(5): 905-915 (2015) - [c9]Hanwei Lin, Zhicong Chen, Lijun Wu, Peijie Lin, Shuying Cheng:
On-line Monitoring and Fault Diagnosis of PV Array Based on BP Neural Network Optimized by Genetic Algorithm. MIWAI 2015: 102-112 - [c8]Peijie Lin, Bochun Zheng, Zhicong Chen, Lijun Wu, Shuying Cheng:
Motion Detection System Based on Improved LBP Operator. MIWAI 2015: 253-261 - [c7]Manna Dai, Peijie Lin, Lijun Wu, Zhicong Chen, Songlin Lai, Jie Zhang, Shuying Cheng, Xiangjian He:
Orderless and Blurred Visual Tracking via Spatio-temporal Context. MMM (1) 2015: 25-36 - 2012
- [j4]Lijun Wu, Kaile Su, Abdul Sattar, Qingliang Chen, Jinshu Su, Wei Wu:
A complete first-order temporal BDI logic for forest multi-agent systems. Knowl. Based Syst. 27: 343-351 (2012) - [c6]Lijun Wu, Xiaogang Chen, Yi Peng, Qixiang Ye, Jianbin Jiao:
Fault detection and diagnosis based on sparse representation classification (SRC). ROBIO 2012: 926-931 - 2011
- [c5]Shanqiang Wu, Lijun Wu, Tao Liu:
Design of a sliding wall climbing robot with a novel negative adsorption device. URAI 2011: 97-100 - 2010
- [j3]Lijun Wu, Jinshu Su, Kaile Su, Xiangyu Luo, Zhihua Yang:
A concurrent dynamic logic of knowledge, belief and certainty for multi-agent systems. Knowl. Based Syst. 23(2): 162-168 (2010) - [c4]Xiangyu Luo, Kaile Su, Ming Gu, Lijun Wu, Jinji Yang:
Symbolic Model Checking the Knowledge in Herbivore Protocol. MoChArt 2010: 112-129
2000 – 2009
- 2009
- [c3]Lijun Wu, Jinshu Su, Xiangyu Luo, Zhihua Yang, Qingliang Chen:
A Concurrent Dynamic Logic of Knowledge, Belief and Certainty for Multi-agent Systems. Canadian AI 2009: 146-157 - 2007
- [c2]Lijun Wu, Jinshu Su:
Symbolic Model Checking Temporal Logics of Knowledge in Multi-Agent System Via Extended Mu-Calculus. LSMS (1) 2007: 510-522 - 2005
- [j2]M. Ayre, T. J. Karle, Lijun Wu, T. Davies, T. F. Krauss:
Experimental verification of numerically optimized photonic crystal injector, Y-splitter, and bend. IEEE J. Sel. Areas Commun. 23(7): 1390-1395 (2005) - [c1]Lijun Wu, Kaile Su, Qingliang Chen:
Model Checking Temporal Logics of Knowledge and Its Application in Security Verification. CIS (1) 2005: 349-354
1990 – 1999
- 1995
- [j1]Robert De Souza, Lijun Wu:
Intelligent optimization of component onsertion in multi-head concurrent operation PCBA machines. J. Intell. Manuf. 6(4): 235-243 (1995)
Coauthor Index
Jian-Huang Lai
aka: Jianhuang Lai
aka: Jianhuang Lai
[j46] [i44] [j41] [j40] [j38] [j36] [j35] [c66] [c65] [c60] [c59] [c58] [c57] [c56] [c54] [i43] [i39] [i37] [j33] [j31] [j27] [j26] [j24] [c48] [c46] [i35] [i34] [i33] [i31] [i30] [i28] [i27] [i25] [c43] [c42] [c39] [c38] [i24] [i23] [i22] [i21] [i20] [i19] [c36] [c35] [c34] [i16] [i14] [i13] [i12] [j11] [c31] [c30] [c29] [c28] [c23] [i9] [i8] [i6] [c22] [c21] [c20] [c19] [c15] [c14] [i5] [i4] [i3] [i2] [c12] [c11] [i1]
[j46] [c72] [c70] [i52] [i51] [i50] [i44] [j41] [j40] [j36] [j35] [c67] [c66] [c65] [c63] [c60] [c59] [c58] [c57] [c56] [c54] [i43] [i41] [i39] [i38] [i37] [j33] [j32] [j31] [j29] [j28] [j27] [j24] [c48] [c47] [c46] [i35] [i31] [i30] [i29] [i28] [i27] [i25] [c45] [c43] [c42] [c40] [c39] [c38] [i24] [i23] [i21] [i20] [i19] [c36] [c35] [c34] [i16] [i14] [i13] [i12] [i11] [j11] [c31] [c30] [c29] [c28] [c23] [i9] [i8] [i7] [i6] [c21] [c20] [c19] [c15] [c14] [i5] [i4] [i3] [i2] [c12] [c11] [i1]
[c71] [i46] [j41] [j40] [j36] [c67] [c65] [c63] [c62] [c60] [c58] [c57] [c56] [c54] [i43] [i39] [i38] [i37] [i36] [j33] [j32] [j31] [j29] [j28] [j24] [c48] [c47] [c46] [i35] [i30] [i29] [i28] [i27] [i25] [c45] [c43] [c42] [c40] [c39] [i24] [i23] [i20] [i19] [c36] [c35] [c34] [i16] [i14] [i13] [i12] [i11] [c31] [c30] [c29] [c23] [i9] [i8] [i7] [i6] [c21] [c14] [i5] [i2] [c11] [i1]
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