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Publication search results
found 50 matches
- 2024
- Liping Zhang, Weijun Li, Linjun Sun, Lina Yu, Xin Ning, Xiaoli Dong:
Learning to represent 2D human face with mathematical model. CAAI Trans. Intell. Technol. 9(1): 54-68 (2024) - Changlin Liu, Linjun Sun, Xin Ning, Jian Xu, Lina Yu, Kaijie Zhang, Weijun Li:
Adaptively identify and refine ill-posed regions for accurate stereo matching. Neural Networks 178: 106394 (2024) - Wenqiang Li, Weijun Li, Lina Yu, Min Wu, Linjun Sun, Jingyi Liu, Yanjie Li, Shu Wei, Yusong Deng, Meilan Hao:
A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data. ICML 2024 - Hao Sun, Xiao Liu, Yeyun Gong, Anlei Dong, Jingwen Lu, Yan Zhang, Linjun Yang, Rangan Majumder, Nan Duan:
LEAD: Liberal Feature-based Distillation for Dense Retrieval. WSDM 2024: 655-664 - 2023
- Shuang Li, Xiaoli Dong, Yuan Shi, Baoli Lu, Linjun Sun, Wenfa Li:
Multi-angle head pose classification with masks based on color texture analysis and stack generalization. Concurr. Comput. Pract. Exp. 35(18) (2023) - Yaxuan Lu, Weijun Li, Xin Ning, Xiaoli Dong, Liping Zhang, Linjun Sun, Chuantong Cheng:
Blind image quality assessment based on the multiscale and dual-domains features fusion. Concurr. Comput. Pract. Exp. 35(18) (2023) - Jingyi Liu, Weijun Li, Lina Yu, Min Wu, Linjun Sun, Wenqiang Li, Yanjie Li:
SNR: Symbolic network-based rectifiable learning framework for symbolic regression. Neural Networks 165: 1021-1034 (2023) - Zhun Deng, He Sun, Steven Wu, Linjun Zhang, David C. Parkes:
Reinforcement Learning with Stepwise Fairness Constraints. AISTATS 2023: 10594-10618 - Hao Sun, Xiao Liu, Yeyun Gong, Yan Zhang, Daxin Jiang, Linjun Yang, Nan Duan:
Allies: Prompting Large Language Model with Beam Search. EMNLP (Findings) 2023: 3794-3805 - Wenqiang Li, Weijun Li, Linjun Sun, Min Wu, Lina Yu, Jingyi Liu, Yanjie Li, Songsong Tian:
Transformer-based model for symbolic regression via joint supervised learning. ICLR 2023 - Linjun Jiang, Sifan Sun, Jinming Ge, He Zhang, Wang Kang:
An In-Memory-Computing STT-MRAM Macro with Analog ReLU and Pooling Layers for Ultra-High Efficient Neural Network. NVMSA 2023: 44-49 - Hao Sun, Xiao Liu, Yeyun Gong, Anlei Dong, Jingwen Lu, Yan Zhang, Daxin Jiang, Linjun Yang, Rangan Majumder, Nan Duan:
BeamSearchQA: Large Language Models are Strong Zero-Shot QA Solver. CoRR abs/2305.14766 (2023) - 2022
- Jingyi Liu, Guojun Wang, Weijun Li, Linjun Sun, Liping Zhang, Lina Yu:
Transcendental equation solver: A novel neural network for solving transcendental equation. Appl. Soft Comput. 117: 108425 (2022) - Peng Chen, Qi Xiao, Jian Xu, Xiaoli Dong, Linjun Sun, Weijun Li, Xin Ning, Guojun Wang, Ziheng Chen:
Harnessing semantic segmentation masks for accurate facial attribute editing. Concurr. Comput. Pract. Exp. 34(12) (2022) - Yakun Zhang, Weijun Li, Liping Zhang, Xin Ning, Linjun Sun, Yaxuan Lu:
AGCNN: Adaptive Gabor Convolutional Neural Networks with Receptive Fields for Vein Biometric Recognition. Concurr. Comput. Pract. Exp. 34(12) (2022) - Mingyang Wang, Tianyi Sun, Kang Song, Shuang Li, Jing Jiang, Linjun Sun:
An efficient sparse pruning method for human pose estimation. Connect. Sci. 34(1): 960-974 (2022) - Zaiyang Yu, Shuang Li, Linjun Sun, Liang Liu, Haining Wang:
Multi-distribution noise quantisation: an extreme compression scheme for transformer according to parameter distribution. Connect. Sci. 34(1): 990-1004 (2022) - Yuerong Tong, Jingyi Liu, Lina Yu, Liping Zhang, Linjun Sun, Weijun Li, Xin Ning, Jian Xu, Hong Qin, Qiang Cai:
Technology investigation on time series classification and prediction. PeerJ Comput. Sci. 8: e982 (2022) - Liping Zhang, Linjun Sun, Lina Yu, Xiaoli Dong, Jinchao Chen, Weiwei Cai, Chen Wang, Xin Ning:
ARFace: Attention-Aware and Regularization for Face Recognition With Reinforcement Learning. IEEE Trans. Biom. Behav. Identity Sci. 4(1): 30-42 (2022) - Changshuo Wang, Xin Ning, Linjun Sun, Liping Zhang, Weijun Li, Xiao Bai:
Learning Discriminative Features by Covering Local Geometric Space for Point Cloud Analysis. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - Guojun Wang, Weijun Li, Liping Zhang, Linjun Sun, Peng Chen, Lina Yu, Xin Ning:
Encoder-X: Solving Unknown Coefficients Automatically in Polynomial Fitting by Using an Autoencoder. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3264-3276 (2022) - Linjun Lu, Siyu Liu, Zhiyong Zhou, Jiantao Sun, Alejandro Melendez-Calderon, Zhao Guo:
Continuous Gait Phase Recognition and Prediction Using LSTM Network Across Walking Speeds and Inclinations. ICARM 2022: 101-106 - Zhuolin Wu, Li Wang, Fangsheng Huang, Linjun Zhou, Yu Song, Chengpeng Ye, Pengyu Nie, Hao Ren, Jinghua Hao, Renqing He, Zhizhao Sun:
A Framework for Multi-stage Bonus Allocation in Meal Delivery Platform. KDD 2022: 4195-4203 - Zhuolin Wu, Li Wang, Fangsheng Huang, Linjun Zhou, Yu Song, Chengpeng Ye, Pengyu Nie, Hao Ren, Jinghua Hao, Renqing He, Zhizhao Sun:
A Framework for Multi-stage Bonus Allocation in meal delivery Platform. CoRR abs/2202.10695 (2022) - Zhun Deng, He Sun, Zhiwei Steven Wu, Linjun Zhang, David C. Parkes:
Reinforcement Learning with Stepwise Fairness Constraints. CoRR abs/2211.03994 (2022) - Hao Sun, Xiao Liu, Yeyun Gong, Anlei Dong, Jian Jiao, Jingwen Lu, Yan Zhang, Daxin Jiang, Linjun Yang, Rangan Majumder, Nan Duan:
LEAD: Liberal Feature-based Distillation for Dense Retrieval. CoRR abs/2212.05225 (2022) - 2021
- Liping Zhang, Weijun Li, Lina Yu, Linjun Sun, Xiaoli Dong, Xin Ning:
GmFace: An explicit function for face image representation. Displays 68: 102022 (2021) - Liping Zhang, Linjun Sun, Xiaoli Dong, Lina Yu, Weijun Li, Xin Ning:
An Efficient Joint Bayesian Model with Soft Biometric Traits for Finger Vein Recognition. CCBR 2021: 248-258 - Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu:
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. NeurIPS Datasets and Benchmarks 2021 - Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu:
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. CoRR abs/2102.04664 (2021)
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