俞文心

俞文心，博士，教授，博士研究生导师，九三学社社员，西南科技大学科技处副处长，九三学社四川省青工委副主任，九三学社绵阳市西科大基层委副主委，四川省学术和技术带头人后备人选，四川省海外高层次留学人才，四川省科协“海智计划”特聘专家，中国计算机学会杰出会员、多媒体技术专委会执行委员、集成电路专委会委员，四川省教科文卫工会高校系统省级劳模创新工作室负责人，涪江实验室核医学人工智能研究中心主任，绵阳市涪城区人大代表。自2002年保送进入上海交通大学电子信息工程系，一直从事视频和图像处理方面的学习与研究。2008年至2015年于日本早稻田大学信息生产系统研究院LSI系统专业攻读硕士学位，博士学位以及作为博士后研究员期间，师从IEEE life fellow后藤敏（Goto Satoshi）教授，一直对人工智能和电子设计自动化等前沿方向进行探索性研究。主要涉及的研究领域包括：工业软件（数字芯片布局布线EDA软件算法优化）、神经网络、图像增强修复、3D多视点图像的合成填补技术、立体匹配技术、低电力消耗视频解码算法。近年，在国外期刊和国际会议上公开发表高水平学术论文100余篇，先后承担和参与各类科研项目30余项，其中参与和完成海外国家级项目5项（日本教育部，日本科学技术振兴机构），项目总资金超过7亿日元，国内国家级项目3项，省部级项目近20项，地市级重点项目1项，横向项目多项，项目立项总经费超过4000万元。参与制订人工智能相关领域国家标准5项，申请发明专利30余项，软件著作权30余项。 

2024：

1. Yuanrui Qi; Zejun Gan; Jinghao Ding; Zhaoqi Fu; Mengshi Gong; Wenxin Yu*.Track Assignment Using Gradient Indication and Simulated Annealing. International Symposium on Circuits and Systems (ISCAS)

2. Dongliang Xia，Wenxin Yu*， Zhaoqi Fu， Zejun Gan， Chengjin Li，Yupeng Zhang.A P&R Co-Optimization Engine for Reducing Congestion. Proceedings of the Great Lakes Symposium on VLSI (GLSVLSI)

3. Qi Wang, Wenxin Yu*, Lu Che, Chang Liu, Zhiqiang Zhang, Jun Gong, Peng Chen.Similarity Knowledge Distillation with Calibrated Mask. International Conference on Acoustics, Speech and Signal Processing (ICASSP)

4. Chang Wu, Guancheng Quan, Gang He*, Xin-Quan Lai, Yunsong Li, Wenxin Yu*, Xianmeng Lin, Cheng Yan.QS-NeRV: Real-Time Quality-Scalable Decoding with Neural Representation for Videos. ACM Multimedia

5. Kepeng Xu,  Zijia Ma,  Li Xu, Gang He*, Yunsong Li, Wenxin Yu*, Taichu Han,  Cheng Yang.An End-to-End Real-World Camera Imaging Pipeline. ACM Multimedia

6. Kepeng Xu, Li Xu, Gang He*, Wenxin Yu*, Yunsong Li.Beyond Alignment: Blind Video Face Restoration via Parsing-Guided Temporal-Coherent Transformer. International Joint Conference on Artificial Intelligence

[1] 消除公共路径被关度的静态时序分析算法,ZL 2023 1 0621440.8

[2] 一种文本合成图像的训练方法及训练系统,ZL 2024 1 0743817.1

2023:

1. Jinghao Ding, Linhao Lu, Zhaoqi Fu, Jie Ma, Mengshi Gong, Yuanrui Qi, Wenxin Yu*. Clock Aware Low Power Placement. International Conference on Computer Aided Design (ICCAD)

2. Mengshi Gong, Jie Ma, and Wenxin Yu*.An Efficient and Robust Algorithm for Common Path Pessimism Removal In Static Timing Analysis. Proceedings of the Great Lakes Symposium on VLSI (GLSVLSI)

3. Yixin Wang, Wenxin Yu*, Zhiqiang Zhang, Jun Gong, Peng Chen, Chang Liu. R2L-Net: Rapid Medical Image Segmentation, Network Regularized by Self-Supervised Relative Localization Task. International Conference on Bioinformatics and Biomedicine (BIBM).

4. Chen, Shiyu, Wenxin Yu*, Qi Wang, Jun Gong, and Peng Chen.Image Inpainting with Semantic-Aware Transformer. IEEE International Conference on Acoustics, Speechand Signal Processing (ICASSP)

5. Qi Wang, Lu Liu, Wenxin Yu*, Shiyu Chen, Jun Gong, and Peng Chen.BCKD: Block-Correlation Knowledge Distillation. IEEE International Conference on Image Processing (ICIP)

6. Zhiyu Deng, Wenxin Yu*, Shiyu Chen, Zhiqiang Zhang, Jun Shang, Peng Chen, and Jun Gong.Text to Image Generation with Conformer-GAN. International Conference on Neural Information Processing (ICONIP)

7. Lu Liu, Qi Wang, Wenxin Yu*, Shiyu Chen, Jun Gong, and Peng Chen.TSFC: Texture and Structure Features Coupling for Image Inpainting.IEEE International Conference on Image Processing (ICIP)

8. Xiaodi Wu, Wenxin Yu*, Zhiqiang Zhang, Shiyu Chen, Yufei Gao, Peng Chen, and Jun Gong.Depth Normalized Stable View Synthesis. International Conference on Neural Information Processing (ICONIP)

9. Xiaodi Wu, Wenxin Yu*, Zhiqiang Zhang, Shiyu Chen, Yufei Gao, Peng Chen, and Jun Gong.Multi-view Consistency View Synthesis. International Conference on Neural Information Processing (ICONIP)

10. Zhiqiang Zhang, Jiayao Xu, Ryugo Morita, Wenxin Yu, and Jinjia Zhou.Dynamic Unilateral Dual Learning for Text-to-Image Synthesis. IEEE International Conference on Image Processing (ICIP)

11. Lingfan Yuan, Wenxin Yu*, Zhiqiang Zhang, Shiyu Chen, Lu Liu, and Peng Chen.Image Inpainting with Semantic U-Transformer. International Conference on Neural Information Processing (ICONIP)

12. Jun Shang, Wenxin Yu*, Zhiqiang Zhang, Hongjie Cai, Jun Gong, and Peng Chen. Text-to-Image Synthesis With Threshold-Equipped Matching-Aware GAN. International Conference on Neural Information Processing (ICONIP)

[1] 一种基于文本和轮廓的人为可控图像合成方法,ZL 2021 1 0953936.6

[2] 一种模拟绘画过程的文本合成图像方法,ZL 2021 1 0953553.9

2022:

1. Jie Ma, Wenxin Yu*, Zhaoqi Fu, and Xin Cheng.Optimal Region-based Mixed-Cell-Height Detailed Placement Considering Complex Minimum-Implant-Area Constraints. Proceedings of the Great Lakes Symposium on VLSI (GLSVLSI)

2. Zhaoqi Fu, WenxinYu*, Jie Ma, and Xin Cheng.An Efficient Maze Routing Algorithm for Fast Global Routing. Proceedings of the Great Lakes Symposium on VLSI (GLSVLSI)

3. Yufei Gao, Wenxin Yu*, Zhiqiang Zhang, Xuewen Zhang, and Xin Deng. music to dance: motion generation based on multi-feature fusion strategy. The IEEE International Symposium on Circuits and Systems (ISCAS)

4. Mingjin Liu, Wenxin Yu*, Jialiang Tang, Ning Jiang, Kang Xu, and Chang Liu. Improve 3D Feature Extraction and Fusion for Stage Diagnosis of Alzheimer’s Disease. The IEEE International Symposium on Circuits and Systems (ISCAS)

5. Qi Wang, Lu Liu, Wenxin Yu*, Zhiqiang Zhang, Yuxin Liu, Shiyu Cheng, Xuewen Zhang, and Jun Gong.FPD: Feature Pyramid Knowledge Distillation. International Conference on Neural Information Processing (ICONIP)

6. Zhiqiang Zhang, Jin jiaZhou, Wenxin Yu*, and Ning Jiang.Text-guided Image Manipulation based on Sentence-aware and Word-aware Network. International Conference on Multimedia and Expo (ICME)

7. Zhiqiang Zhang, Jinjia Zhou*, Wenxin Yu*, Ning Jiang.Text-to-Image Synthesis: Starting Composite from the Foreground Content. Information Sciences

2021:

1. Jialiang Tang, Mingjin Liu, Ning Jiang, Huan Cai, Wenxin Yu, and Jinjia Zhou. Data-Free Network Pruning for Model Compression.The IEEE International Symposium on Circuits and Systems (ISCAS)

2. Jialiang Tang, Mingjin Liu, Ning Jiang, Wenxin Yu, and Changzheng Yang. Spatial and Channel Dimensions Attention Feature Transfer for Better Convolutional Neural Networks. The IEEE International Symposium on Circuits and Systems (ISCAS)

3. Jialiang Tang, Mingjin Liu, Ning Jiang, Wenxin Yu, Changzheng Yang, and Jinjia Zhou. Knowledge Distillation Based on Positive-Unlabeled Classification and Attention Mechanism. The IEEE International Symposium on Circuits and Systems (ISCAS)

4. Ning Jiang, Jialiang Tang, Wenxin Yu, Jinjia Zhou, and Liuwei Mai.Gradient Local Binary Pattern Layer to Initialize the Convolutional Neural Networks. The IEEE International Symposium on Circuits and Systems (ISCAS)

5. Wenxin Yu, Xin Cheng, Zhiqiang Zhang, and Jun Gong.Deep Learning Based Placement Acceleration for 3D-Ics.International Conference on Neural Information Processing (ICONIP)

6. Jialiang Tang, Ning Jiang, Wenxin Yu, and Wenqing Wu.Triplet Knowledge Distillation Networks for Model Compression. International Joint Conference on Neural Networks (IJCNN)

7. Ning Jiang, Jialiang Tang, Wenxin Yu, and Jinjia Zhou.Local Feature Normalization. International Conference on Knowledge Science, Engineering and Management (KSEM)

8. Jialiang Tang, Ning Jiang, and Wenxin Yu.Gradient Local Binary Pattern for Convolutional Neural Networks. International Conference on Image Processing (ICIP)

9. Xiaoyan Yang, Jialiang Tang, Ning Jiang, Wenxin Yu, and Peng Zhang.Triplet Mapping for Continuously Knowledge Distillation. International Conference on Neural Information Processing (ICONIP)

10. Jiarui Cheng, Ning Jiang, Jialiang Tang, Xin Deng, Wenxin Yu, and Peng Zhang.Using a two-stage GAN to learn image degradation for image super-resolution. International Conference on Neural Information Processing (ICONIP)

11. Ning Jiang, Jialiang Tang, Xiaoyan Yang, Wenxin Yu, and Peng Zhang.Improving Shallow Neural Networks via Local and Global Normalization. International Conference on Neural Information Processing (ICONIP)

12. Shiyu Chen, Wenxin Yu*, Liang Nie, Xuewen Zhang, Siyuan Li, Jun Gong, and Zhiqiang Zhang.SCAN: Spatial and Channel Attention Normalization for Image Inpainting. International Conference on Neural Information Processing (ICONIP)

13. Daisong Yan, Wenxin Yu*, Zhiqiang Zhang, and Jun Gong.Transformer with Prior Language Knowledge for Image Captioning. International Conference on Neural Information Processing (ICONIP)

14. Liang Nie, Wenxin Yu*, Siyuan Li, Zhiqiang Zhang, Ning Jiang, Jun Gong, and Xuewen Zhang. Progressive Inpainting Strategy with Partial Convolutions Generative Networks (PPCGN).International Conference on Neural Information Processing (ICONIP)

15. Liang Nie, Wenxin Yu*, Xuewen Zhang, Siyuan Li, Shiyu Chen, Zhiqiang Zhang, and Jun Gong. Free-Form Image Inpainting with Separable Gate Encoder-Decoder Network, International Conference on Neural Information Processing (ICONIP)

16. Xuewen Zhang, Yunye Zhang, Wenxin Yu*, Liang Nie, Ning Jiang and Jun Gong.QS-Hyper: A Quality-Sensitive Hyper Network for the No-Reference Image Quality Assessment. International Conference on Neural Information Processing (ICONIP)

17. Xuewen Zhang, Yunye Zhang, Wenxin Yu*, Liang Nie, Zhiqiang Zhang, Shiyu Chen and Jun Gong.Semi-Supervised Learning with Conditional GANs for Blind Generated Image Quality Assessment. International Conference on Neural Information Processing (ICONIP)

18. Mingjin Liu, Jialiang Tang, Wenxin Yu*, and Ning Jiang. Attention-Based 3D ResNet for Detection of Alzheimer's Disease Process. International Conference on Neural Information Processing (ICONIP)

19. Zhiqiang Zhang, Wenxin Yu*, Ning Jiang, and Jinjia Zhou.Text To Image Synthesis with Erudite Generative Adversarial Networks.2021 IEEE International Conference on Image Processing (ICIP)

20. Zhiqiang Zhang, Jinjia Zhou, Wenxin Yu*, and Ning Jiang. Drawgan: text to image synthesis with drawing generative adversarial networks.2021 IEEE International Conference on Acoustics, Speechand Signal Processing (ICASSP)

21. Wenxin Yu,Xuewen Zhang,Yunye Zhang,Zhiqiang Zhang,Jinjia Zhou. Blind Image Quality Assessment for a Single Image From Text-to-Image Synthesis. IEEE Access

2020:
1. Wei Chen, Wenxin Yu*, Gang He, and Ning Jiang. Coarse-to-Fine Attention Network via Opinion Approximate Representation for Aspect-Level Sentiment Classification. In International Conference on Neural Information Processing(ICONIP), pp. 704-715. Springer, Cham, 2020.(Runner-up student paper award)(EI收录) (SCI索引源会议论文集) (CCF中国计算机协会推荐会议)
2. Siyuan Li, Lu Lu, Zhiqiang Zhang, Xin Cheng, Kepeng Xu, Wenxin Yu*, Gang He, Jinjia Zhou, and Zhuo Yang. Interactive Separation Network For Image Inpainting. In 2020 IEEE International Conference on Image Processing (ICIP), pp. 1008-1012. IEEE, 2020.(EI收录) (SCI索引源会议论文集) (CCF中国计算机协会推荐会议)
3. Zhiqiang Zhang, Wenxin Yu*, Jinjia Zhou, Xuewen Zhang, Jialiang Tang, Siyuan Li, Ning Jiang, Gang He, and Zhuo Yang. Customizable GAN: Customizable Image Synthesis Based on Adversarial Learning. In International Conference on Neural Information Processing(ICONIP), pp. 336-344. Springer, Cham, 2020.(EI收录) (SCI索引源会议论文集) (CCF中国计算机协会推荐会议)
4. Zhiqiang Zhang, Wenxin Yu, Jinjia Zhou, Xuewen Zhang, Ning Jiang, Gang He, and Zhuo Yang. Customizable GAN: A Method for Image Synthesis of Human Controllable. IEEE Access Jun 9; 8: 108004-108017. (SCI收录)
5. Siyuan Li, Lu Lu, Kepeng Xu, Wenxin Yu*, Ning Jiang, and Zhuo Yang. LPI-Net: Lightweight Inpainting Network with Pyramidal Hierarchy. In International Conference on Neural Information Processing(ICONIP), pp. 442-449. Springer, Cham, 2020.(EI收录) (SCI索引源会议论文集) (CCF中国计算机协会推荐会议)
6. Xuewen Zhang, Yunye Zhang, Zhiqiang Zhang, Wenxin Yu*, Ning Jiang, and Gang He. Deep Feature Compatibility for Generated Images Quality Assessment. In International Conference on Neural Information Processing(ICONIP), pp. 353-360. Springer, Cham, 2020.(EI收录) (SCI索引源会议论文集) (CCF中国计算机协会推荐会议)
7. Jialiang Tang, Ning Jiang*, Wenxin Yu*, Jinjia Zhou, Liuwei Mai. Two-Stage Model Compression and Acceleration: Optimal Student Network for Better Performance[J]. IEEE Access, 2020.(SCI收录)
8. Ning Jiang, Jialiang Tang, Zhiqiang Zhang, Wenxin Yu*, Xin Deng, Jinjia Zhou. Two-Stage Model Compression and Acceleration,  In International Conference on Neural Information Processing(ICONIP). Springer, Cham, 2020: 642-649.(EI收录) (SCI索引源会议论文集) (CCF中国计算机协会推荐会议)
9. Yunye Zhang, Xuewen Zhang, Zhiqiang Zhang, Wenxin Yu*, Ning Jiang, and Gang He. No-Reference Quality Assessment Based on Spatial Statistic for Generated Images. In International Conference on Neural Information Processing(ICONIP), pp. 497-506. Springer, Cham, 2020.(EI收录) (SCI索引源会议论文集) (CCF中国计算机协会推荐会议)
10. Siyuan Li , Lu Lu , KePeng Xu , Wenxin Yu*, Ning Jiang , Gang He , Kang Xu, and Chang Liu. Edge Guided Loss in Image Inpainting In International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), Springer, Cham, 2020. (EI收录)
11. Xuewen Zhang, Zhiqiang Zhang, Wenxin Yu*, Yunye Zhang, Gang He, Ning Jiang, Kang Xu, and Chang Liu. Visualization of Microblog Keyword Data Based on 3D Interactive Word Cloud In International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), Springer, Cham, 2020.(EI收录)

[1] 一种基于硅通孔的三维集成电路布局方法, ZL 2020 1 0429586.9

2019:
1. Zhiqiang Zhang, Yunye Zhang, Wenxin Yu*, Gang He, Ning Jiang, Gang He, Yibo Fan, and Zhuo Yang. “Text to Image Synthesis Using Two-Stage Generation and Two-Stage Discrimination”, International Conference on Knowledge Science, Engineering and Management (KSEM). In KSEM Proceedings Part II, pp. 110-114, 2019(EI收录) (SCI索引源会议论文集) (CCF中国计算机协会推荐会议)
2. Zhiqiang Zhang, Yunye Zhang, Wenxin Yu*, Jingwei Lu, Li Nie, Gang He, Ning Jiang, Gang He, Yibo Fan, and Zhuo Yang. “Text to Image Synthesis Based on Multiple Discrimination”, International Conference on Artificial Neural Networks (ICANN). In ICANN Proceedings Part III, pp. 578-589, 2019(EI收录) (SCI索引源会议论文集) (CCF中国计算机协会推荐会议)
3. Zhiqiang Zhang, Yunye Zhang, Wenfa Liu, Wenxin Yu*, Gang He, Ning Jiang, and Zhuo Yang. “Text to Complicated Image Synthesis with Segmentation Information Guidance”, International Conference on Intelligent, Interactive Systems and Applications, 2019(EI收录)
4. Kepeng Xu, Yunye Zhang, Wenxin Yu*, Zhiqiang Zhang, Jingwei Lu, Yibo Fan, Gang He, and Zhuo Yang. “Segmentation of Building Footprints with Xception and IoULoss”, International Conference on Multimedia and Expo WorkShop(ICME). pp. 420-425, 2019(EI收录) (SCI索引源会议论文集) (CCF中国计算机协会推荐会议)
5. Ning Jiang, Jialiang Tang, Zhiqiang Zhang, Wenxin Yu*, Bin Hu, Gang He, and Zhuo Yang. “A Method of Pointer Instrument Reading for Automatic Inspection”, International Conference on Intelligent, Interactive Systems and Applications, 2019(EI收录)
6. Zhiqiang Zhang Yunye Zhang, Yan Shi, Wenxin Yu*, Li Nie, Gang He, Yibo Fan, and Zhuo Yang. “Dense Image Captioning based on Precise Feature Extraction”, International Conference on Neural Information Processing(ICONIP), 2019(EI收录) (SCI索引源会议论文集) (CCF中国计算机协会推荐会议)
7. Kepeng Xu, Li Nie, Xinxin Zhou, Shangwei Deng, Zhiqiang Zhang, Wenxin Yu*, Yunye Zhang, Wei Chen, Siyuan Li, Yibo Fan, Hui Zhang, and Valentin Bouillon. “IRSNET: An Inception-Resnet Feature Reconstruction Model for Building Segmentation”, International Conference on Neural Information Processing(ICONIP), 2019(EI收录) (SCI索引源会议论文集) (CCF中国计算机协会推荐会议)
8. Wei Chen, Wenxin Yu*, Zhiqiang Zhang, Yunye Zhang, Kepeng Xu, Fengwei Zhang, Yibo Fan, and Gang He. “Target-Based Attention Model for Aspect-Level Sentiment Analysis”, International Conference on Neural Information Processing(ICONIP), 2019(EI收录) (SCI索引源会议论文集) (CCF中国计算机协会推荐会议)
9. Siyuan Li, Lu Lu, Zhijing Li, Kepeng Xu, Matthieu Claisse, Wenxin Yu*, Gang He, Gang He, and Zhuo Yang. “Inpainting with Sketch Reconstruction and Comprehensive Feature Selection”, International Conference on Neural Information Processing(ICONIP), 2019(EI收录) (SCI索引源会议论文集) (CCF中国计算机协会推荐会议)
10. Liao Xiaojuan, Zhang Hui, Koshimura Miyuki, Huang Rong, Yu Wenxin, Maximum Satisfiability Formulation for Optimal Scheduling in Overloaded Real-Time Systems, 16th Pacific Rim International Conference on Artificial Intelligence(PRICAI), 2019(EI收录) (SCI索引源会议论文集) (CCF中国计算机协会推荐会议)

2018：
1. Wenxin Yu, Liang Yu, Gang He, Yibo Fan, Gang He, Jiu Xu, Zhuo Yang, and Zhiqiang Zhang, Q Value-based Dynamic Programming with Boltzmann Distribution by Using Neural Network, International Conference on Neural Information Processing (ICONIP), pp.52-61, 2018(EI收录) (SCI索引源会议论文集) (CCF中国计算机协会推荐会议)
2. Wenxin Yu, Yibo Fan, Minghui Wang, Gang He, Gang He, Zhuo Yang and Zhiqiang Zhang, Parallelized contour based depth map coding in DIBR, Pacific-Rim Conference on Multimedia (PCM)，pp.643-653, 2018(EI收录) (SCI索引源会议论文集) (CCF中国计算机协会推荐会议)
3. Zipeng Zhang, Zhuo Yang, Yinwei Zhan, Yuqing Li, Wenxin Yu, Perceptual Model Optimized Efficient Foveated Rendering, The ACM Symposium on Virtual Reality Software and Technology (VRST), 2018(EI收录)  (CCF中国计算机协会推荐会议)
4. Deqing Bu, Yaobin Wang, Ling Li, Zhiqin Liu, Wenxin Yu, Musariri Manasah, “Exploring Parallelism in Mibench with Loop and Procedure Level Speculation”, 16th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA 2018), Melbourne, Australia, pp.141-146, 2018(EI收录)  (CCF中国计算机协会推荐会议)

2017:
1. Wenxin Yu, Hao Sun, Gang He and Zhiqiang Zhang， “A Multi-step Temporal Error Concealment Method”，The International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)，2017(EI收录)
2. Jing Hu, Gang He, Yunsong Li, Wenxin Yu, Zhuo Yang, Peikun Liu, Ruixue Guo， “Fast Mode Decision and PU Size Decision algorithm for intra depth coding in 3D-HEVC”，Journal of Visual Communication and Image Representation（JVCIR），2017(SCI 收录)(CCF中国计算机协会推荐杂志)
3. Hao Jiang, Gang He, Wenxin Yu, Zheng Wang and Yunsong Li， “Scalable Video Coding Based on the User’s View for Real-Time Virtual Reality Applications”，Pacific-Rim Conference on Multimedia (PCM)，2017(EI收录) (SCI索引源会议论文集) (CCF中国计算机协会推荐会议)
4. Gang He, Wenxin Yu, Yuanwen Zou, Jinchuan Li， “An Efficient Parallel Approach Using Opencl for Pupil Detection and Pupil Size Measurement”， The International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)，2017(EI收录)

2016:
1. Gang He, Jing Hu, Yunsong Li, Wenxin Yu, Fast Algorithm Based on Sole- and Multi-depth Measurements for HEVC Intra Coding, The International Conference on Image Processing (ICIP), pp.1131-1135, 2016 (EI收录) (CCF中国计算机协会推荐会议)

2015:
1. Jiu Xu, Ning Jiang,Wenxin Yu, Heming Sun, Satoshi Goto, “Human detection method based on non-redundant gradient semantic local binary patterns”, The Institute of Electronics, Information and Communication Engineers (IEICE), 2015 (SCI)
2.Wenxin Yu, Weichen Wang, Jiu Xu, Liang Yu, “Frame Compatible Format Fast Encoder with Stereo Matching”,IEEE International Symposium on Circuits and Systems (ISCAS)，pp.2529–2532，2015 (EI收录) (CCF中国计算机协会推荐会议)

2014:
1. 俞亮，俞文心， “基于Unity的Web游戏设计与实现”， 计算机光盘软件与应用， 2014年8期
2. 俞亮，俞文心， “一种基于像素的曲线数字化方法”， 数字技术与应用， 2014年5期

2013:
1.Wenxin Yu, Weichen Wang, Zhengyan Guo and Satoshi Goto, “An Integrated Hole-filling Algorithm for View Synthesis”, The Institute of Electronics, Information and Communication Engineers (IEICE), Vol.E96-A, No.6, Jun. 2013 (SCI)
2.Wenxin Yu, Xin Jin and Satoshi Goto, “Low Power Video Decoding with Adaptive Granularity in Temporal Scalability”, The Journal of the Institute of Image Electronics Engineers of Japan, Vol.42, No.2, pp.249-261,2013 (EI)
3. Ning Jiang, Jiu Xu,Wenxin Yu and Satoshi Goto, “An Intra-combined Feature for Pedestrian Detection”, The Journal of the Institute of Image Electronics Engineers of Japan, Vol.1, No.1, pp.88-96, 2013 (EI)
4.Wenxin Yu, Weichen Wang, Gang He, Satoshi Goto, “Combined Hole-Filling with Spatial and Temporal Prediction”, The International Conference on Image Processing (ICIP), pp.3196–3200, Sep. 2013 (EI收录) (CCF中国计算机协会推荐会议)
5. Jiu Xu, Ning Jiang, Xinwei Xue, Heming Sun,Wenxin Yuand Satoshi Goto, “Multi-scale Bidirectional Local Template Patterns for Real-time Human Detection”, The International Workshop on Multimedia Signal Processing（MMSP）, pp.379-383, Sep. 2013 (EI)
6. Ning Jiang, Jiu Xu,Wenxin Yu and Satoshi Goto, “Gradient Local Binary Patterns for Human Detection”, The IEEE International Symposium on Circuits and Systems (ISCAS), pp.978 – 981, May 2013 (EI收录) (CCF中国计算机协会推荐会议)

2012:
1.Wenxin Yu, Weichen Wang, Zhengyan Guo and Satoshi Goto, “An Integrated Hole-Filling Algorithm for View Synthesis”, Pacific-Rim Conference on Multimedia (PCM), LNCS 7674, pp.80–92, Dec. 2012 (EI收录) (SCI索引源会议论文集) (CCF中国计算机协会推荐会议)

2011:
1.Wenxin Yu, Xin Jin, Satoshi Goto, Adaptive Temporal Scalable Decoding Scheme with Temporal and Spatial Prediction Method, The International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS),Chiangmai,Thailand, Dec. 2011 (EI)
2.Wenxin Yu, Ning Jiang, Xin Jin, Satoshi Goto, “Adaptive low power decoding process with temporal prediction method for common video”, IEEE International Colloquium on Signal Processing & its Applications (CSPA), pp.169 – 172, Mar. 2011 (EI)
3. Ning Jiang,Wenxin Yu, Shaopeng Tang, Satoshi Goto, “A cascade detector for rapid face detection”, IEEE International Colloquium on Signal Processing & its Applications (CSPA), pp 155–158, Mar. 5, 2011 (EI)

2010:
1.Wenxin Yu, Xin Jin and Satoshi Goto, “Adaptive solution of temporal scalable decoding process with frame rate conversion method for surveillance video,”The International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), Cheng Du, China, pp. 333-336. Dec. 6-8, 2010 (EI)
2.Wenxin Yu, Xin Jin, Satoshi GOTO, “Temporal scalable decoding process with frame rate conversion method for surveillance video”, Pacific-Rim Conference on Multimedia (PCM), Part II, LNCS 6298, Page(s): 297 - 308, Shanghai, China, Sep. 2010 (EI收录) (SCI索引源会议论文集) (CCF中国计算机协会推荐会议)
3.Wenxin Yu, Xin Jin, Satoshi GOTO, “Hierarchical low complexity decoding with frame-skipping for surveillance video”, ITC-CSCC, Page(s): 1152 - 1155,Pattaya,Thailand, July 2010
4.Wenxin Yu, Xin Jin, Satoshi GOTO, “Low complexity decoding with frame-skipping for surveillance video”, 2010 General Conference of IEICE, D-11-21, Sendai, Japan, January 2010

1.人工智能平台互联互通标准与评测技术研究，国家科技部科技创新2030 —— “新一代人工智能”重大项目

2.开源平台（CEIEC-2020-ZM02-0117），国家工业和信息化部示范性软件建设项目

3. 面向人工智能领域的服务平台建设（2020-0103-1-2），国家工业和信息化部产业技术基础公共服务平台项目

4. 拓展众核有效并行源的微线程式软硬件支持机制（61672438），国家自然科学基金委员会面上项目

5. 国产EDA芯片辅助设计软件，四川省融办关键核心技术攻关项目

6. 基于静电模拟的解析法芯片布局算法研究（2018GZ0517），四川省科技厅重点研发项目

7. 新一代视频图像增强技术研究应用（2020YFS0307），四川省科技厅重点研发项目

8. 涪江实验室核医学人工智能研究中心建设项目，四川省科技厅，绵阳市科技局

9. 从销售、物流到仓储全覆盖全连通的智慧医药系统的设计与建设，四川省科技厅科技服务业发展专项项目

10. 基于人工神经网络及互联网+的快速糖化血红蛋白高效液相色谱分析仪关键技术研究，四川省科技厅重点研发项目

11. 基于互联网+的智能尿动力系统关键技术研究，四川省科技厅重点研发项目12. 基于北斗导航与深度神经网络的极端气象灾害预警关键技术研究（20ZDYF2019），四川省科技厅

13. 基于深度神经网络的肌肉CT图像分割及重建算法在肌少症辅助诊断中的应用研究（20ZDYF2307），四川省科技厅

14. 基于神经网络架构模拟的新一代芯片布局算法研究与仿真软件开发，高效能服务器和存储技术国家重点实验室（山东海量信息技术研究院）

15. 基于人工智能的工具软件开发项目，成都鸿程云科技有限公司

16. 蛋鸡疫病监测预警系统及AI识别算法训练平台，成都共生食造数字科技有限公司

17. 生物行为启发算法辅助的智能机器人运动规划策略，四川省科技厅基础研究项目
18. 自主可控国产高效能众核芯片体系结构关键技术研究，四川省科技厅基础研究项目
19. 3C融合信息消费电子产品关键技术研发及产业化，四川省科技厅科技支撑项目
20. 基于深度信息的3-D虚拟视点图像综合技术的研究， 四川省教育厅重点项目
21. 机械外骨骼系统, 香港中文大学
22. 医疗专用设备工作站软件系统, 绵阳美科电子

23. Super-Low Power video transmission, Ministry of Education, Culture, Sports, Science and Technology (MEXT) Project, 日本文部科学省
24. Global Centers of Excellence (GCOE) Project, 日本文部科学省
25. Research for Evolution Science and Technology (CREST) project from Japan Science and Technology Agency, 日本科学技术振兴机构

指导学生项目：

四川省《大学生创业训练计划项目》绵阳悠游天下网络科技有限公司创业实践项目，2016，指导老师：俞文心

“Hi学吧”平台，大学生创新创业训练计划，2017，指导老师：俞文心

1. 2024年，中国商业联合会科技创新人物奖

2. 2024年，中国商业联合会全国服务业科技创新奖一等奖，第一完成人

3. 2024年，中国科技产业化促迸会科技创新奖二等奖，第一完成人

4. 2023年，全国商业科技进步奖二等奖，第一完成人

5. 2023年，中国物流与采购联合会科技进步三等奖，第一完成人

6. 2022年，四川省计算机科学技术奖一等奖，第一完成人

2014/4 - 2015/3，早稻田大学，信息生产系统研究中心，博士后，合作导师：Satoshi Goto
2010/9 - 2014/4，早稻田大学，多媒体视频系统，博士，导师：Satoshi Goto
2008/9 - 2010/7，早稻田大学，多媒体视频系统，硕士，导师：Satoshi Goto
2002/5 - 2006/7，上海交通大学，电子信息工程，学士