複製鏈接
請複製以下鏈接發送給好友
https://baike.baidu.hk/item/謝曉華/24153510
複製
複製成功

謝曉華

（中山大學計算機學院教授）

鎖定
謝曉華，男，博士，中山大學計算機學院教授、博士生導師，廣東省“特支計劃”科技青年拔尖人才，深圳市“孔雀計劃”海外高層次引進人才（B類）。主持5項國家級科研項目（含重點項目1項）、3項省級項目（含重點項目1項）及多項省市重大任務；以骨幹成員參與國家重大/重點項目5項。在包括IEEE TPAMI、IJCV、IEEE TIP、IEEE TIFS、IEEE TVCG、IEEE TCSVT、PR、NeurIPS、ICML、ICCV、CVPR、AAAI、IJCAI在內的國際著名刊物和會議發表論文100篇，擁有國家授權發明專利40件。是國家自然科學基金委、科技部項目評審專家，是IEEE TPAMI、IEEE TIP、CVPR、ICCV、NeurIPS、AAAI、IJCAL、ECCV、ICLR等頂級期刊和會議的論文評審人/程序委員。核心技術支撐研發的嵌入式行人分析智能攝像機在十多個國家獲得應用。獲2018年度廣東省自然科學一等獎、2018年度教育部自然科學二等獎、2020年度廣東省自然科學二等獎、2022年度廣東省電子信息行業科技進步二等獎、2022年度廣東省公共安全技術防範協會安防技術發明二等獎、中國電子學會及中山大學優秀碩士學位論文指導老師獎。 [1] 
中文名
謝曉華
畢業院校
中山大學
學位/學歷
博士
專業方向
應用數學
任職院校
中山大學

目錄

  1. 1 研究領域
  2. 2 人物經歷
  3. ▪ 教育背景
  4. ▪ 工作經歷
  1. ▪ 海外經歷
  2. 3 獲獎榮譽
  3. 4 科研項目
  4. 5 學術兼職
  1. 6 教授課程
  2. 7 代表論著

謝曉華研究領域

計算機視覺、圖像處理、模式識別、機器學習
專注於：視頻圖像處理、生成、識別；AI安全（AI模型對抗攻防）；嵌入式視覺智能終端；跨相機分析；無人航拍監控

謝曉華人物經歷

謝曉華教育背景

2010年12月在中山大學獲得應用數學專業博士（國家公派加拿大Concordia大學聯合培養） [1] 

謝曉華工作經歷

2024.04-, 中山大學，教授、博士生導師
2018.07-2024.04, 中山大學，副教授、博士生導師
2015.07-2018.07, 中山大學，特聘研究員
2013.12-2015.07, 中國科學院深圳先進技術研究院，副研究員、碩士生導師
2011.02-2013.11, 中國科學院深圳先進技術研究院，助理研究員（2011年11月被遴選為碩士生導師） [1] 

謝曉華海外經歷

2009.09-2010.09, 國家公派留學，加拿大Concordia大學計算機科學系 [1] 

謝曉華獲獎榮譽

  • 2017年廣東省科技青年拔尖人才
  • 2018年度廣東省科學技術獎（自然科學獎）一等獎
  • 2018年度教育部高等學校科學研究優秀成果獎（自然科學）二等獎
  • 2020年度廣東省科學技術獎（自然科學獎）二等獎
  • 2022年度廣東省電子信息行業科技進步二等獎
  • 2022年度廣東省公共安全技術防範協會安防技術發明二等獎
  • 2023年中山大學優秀碩士學位論文指導老師獎 [1] 

謝曉華科研項目

  1. 圖像生成驅動的物理場景內在屬性感知及在視覺識別上的應用，國家自然科學基金面上項目（主持）
  2. 基於場景本徵屬性感知的圖像重渲染研究，國家自然科學基金面上項目（主持）
  3. 基於上下文感知的部件組裝三維建模，國家自然科學基金青年項目（主持）
  4. 基於顏色與深度感知的場景本徵屬性重建研究，廣東省自然科學基金重點項目（主持）
  5. "廣東省特支計劃"科技青年拔尖人才，廣東省人才項目（主持）
  6. 基於總變分模型的圖像光照歸一化研究，廣東省自然科學基金博士啓動項目 （主持）
  7. 基於深度表徵學習的圖像重渲染，中央高校基本科研業務費專項（主持）
  8. 可敏捷定製的智能視覺處理器及系統應用，廣東省重點研發項目（中大方主持人）
  9. 跨域智慧警務裝備與監測平台研究及應用，廣州市重點研發項目（中大方主持人）
  10. 基於智能攝像頭陣列協同的博物館展館管理應用示範，廣東省區域創新能力與支撐保障體系建設項目（中大方主持人）
  11. 面向多警種協同的綜合實戰應用系統，廣州市對外重大合作項目（中大方主持人）
  12. 面向智慧城市的人臉識別身份認證互聯網+雲平台系統建設及示範應用，智慧廣州專項資金項目（中大方主持人）
  13. 基於海量人臉圖像深度學習的身份核驗系列產品研發應用，廣州市科技計劃重點項目（中大方主持人）
  14. 多任務遷移學習及其在小樣本圖像理解中的應用，廣東省粵港澳大灣區國際科技創新中心建設項目（中大方主持人） [1] 

謝曉華學術兼職

中國圖象圖形學學會（CSIG）廣州中心秘書長
中國圖象圖形學學會（CSIG）競賽與培訓工作委員會副主任
廣東省圖象圖形學會（GDSIG）副秘書長、理事
廣東省圖象圖形學會（GDSIG）-計算機視覺專委會副主任
中國計算機學會計算機視覺專委會執行委員
中國人工智能學會模式識別專委會委員
中國圖象圖形學會視覺大數據專委員會委員
中國圖象圖形學學會高級會員
中國計算機學會高級會員

謝曉華教授課程

《數字圖像處理》（本科、研究生）
《人工智能與模式識別》（研究生）
《高等數學》（本科）
《HPC+AI科學計算前沿》（研究生）

謝曉華代表論著

機器學習基礎理論方法（注意力、域適應、蒸餾）：
  • [無參數無需訓練的注意力機制] Lingxiao Yang, Ru-Yuan Zhang, Lida Li, Xiaohua Xie. SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks. International Conference on Machine Learning (ICML), 2021. (CCF A類) [報道][Code]
  • [多模態模型域適應] Lingxiao Yang, Ru-Yuan Zhang, Yanchen Wang, Xiaohua Xie. MMA: Multi-Modal Adapter for Vision-Language Models. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.（CCF A類）[演講視頻]
  • [網絡深度自調節的半監督深度學習] Guangcong Wang, Xiaohua Xie, Jianhuang Lai, Jiaxuan Zhuo. Deep Growing Learning. International Conference on Computer Vision (ICCV), 2017.（CCF A類）[Code]
  • [跨分辨率蒸餾學習-為了推理加速] Zhanxiang Feng, Jianhuang Lai, Xiaohua Xie. Resolution-aware Knowledge Distillation for Efficient Inference. IEEE Transactions on Image Processing (TIP), 2021. (中科院1區，CCF A類)
  • [多模態學習-多視圖聚類] Jintang Bian, Xiaohua Xie, Jianhuang Lai, Feiping Nie. Multi-view Contrastive Clustering via Integrating Graph Aggregation and Confidence Enhancement. Information Fusion, March 2024. (中科院1區)
  • [視覺識別語義元深度學習] Lingxiao Yang, Xiaohua Xie, Jianhuang Lai. Learning Discriminative Visual Elements using Part-based Convolutional Neural Network. Neurocomputing, 2018.
視頻圖像處理與生成（擴散模型、神經輻射場等）：
  • [解決擴散模型的採樣時間奇異點問題] Pengze Zhang, Hubery Yin, Chen Li, Xiaohua Xie. Tackling the Singularities at the Endpoints of Time Intervals in Diffusion Models. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.（CCF A類）[Code][演講視頻][報道][入選Highlight]
  • [基於離散概率流的離散擴散模型] Pengze Zhang, Hubery Yin, Chen Li, Xiaohua Xie. Formulating Discrete Probability Flow Through Optimal Transport. The Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS), 2023.（CCF A類）[Code]
  • [擴散模型應用於人體生成] Yanzuo Lu, Manlin Zhang, Jinhua Ma, Xiaohua Xie, Jianhuang Lai. Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.（CCF A類）[Code][演講視頻][入選Highlight]
  • [任意分辨率神經輻射場] Zixuan Chen, Lingxiao Yang, Jian-Huang Lai, Xiaohua Xie. CuNeRF: Cube-Based Neural Radiance Field for Zero-Shot Medical Image Arbitrary-Scale Super Resolution. International Conference on Computer Vision (ICCV), 2023.（CCF A類）
  • [姿態引導的行人圖像生成] Pengze Zhang, Lingxiao Yang, Xiaohua Xie, Jianhuang Lai. Pose Guided Person Image Generation via Dual-task Correlation and Affinity Learning. IEEE Transactions on Visualization and Computer Graphics (TVCG), 2023. (CCF A類) [Code]
  • [姿態引導的行人圖像生成] Pengze Zhang, Lingxiao YANG, Xiaohua Xie, Jian-Huang Lai. Exploring Dual-task Correlation for Pose Guided Person Image Generation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.（CCF A類）[Code][演講視頻][Presentation]
  • [姿態引導的行人圖像生成] Pengze Zhang, Lingxiao Yang, Xiaohua Xie, Jianhuang Lai. Lightweight Texture Correlation Network for Pose Guided Person Image Generation. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022. (中科院1區) [Code]
  • [弱監督圖像去陰影] Wenjie Luo, Xiaohua Xie, Kuoyu Deng, Lingxiao Yang, Jianhuang Lai. Learning Shadow Removal from Unpaired Samples via Reciprocal Learning. IEEE Transactions on Image Processing (TIP), 2023. (CCF A類)
  • [弱監督學習去雨滴] Wenjie Luo, Jianhuang Lai, Xiaohua Xie. Weakly Supervised Learning for Raindrop Removal on a Single Image. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020.（中科院1區）
  • [人臉光照處理] Xiaohua Xie, Wei-Shi Zheng, Jianhuang Lai, Pong C. Yuan, and Ching Y. Suen. Normalization of Face Illumination Based on Large- and Small- Scale Features. IEEE Transactions on Image Processing (TIP), 2011. (中科院1區，CCF A類)
  • [人臉光照處理] Weihong Xu, Xiaohua Xie, Jianhuang Lai. RelightGAN: Instance-level Generative Adversarial Network for Face Illumination Transfer. IEEE Transactions on Image Processing (TIP), 2021. (中科院1區，CCF A類)
  • [人臉光照處理] Xiaohua Xie, Wei-Shi Zheng, Jianhuang Lai, and Pong C. Yuan. Face Illumination Normalization on Large and Small Scale Features. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.（CCF A類）
  • [人臉光照處理] Xiaohua Xie, Jianhuang Lai, and Wei-Shi Zheng. Extraction of Illumination Invariant Facial Features from a Single Image using Nonsubsampled Contourlet Transform. Pattern Recognition, 2010. (中科院1區)
  • [人臉光照處理] Xiaohua Xie, Jianhuang Lai, Ching Y. Suen, and Wei-Shi Zheng. Non-Ideal Class Non-Point Light Source Quotient Image for Face Relighting. Signal Processing, 2011.
  • [人臉光照處理] Xiaohua Xie. Illumination Preprocessing for Face Images based on Empirical Mode Decomposition. Signal Processing, 2014.
  • [超分辨率] Zhanxiang Feng, Jianhuang Lai, Xiaohua Xie, Junyong Zhu. Image super-resolution via a densely connected recursive network. Neurocomputing, 2018.
  • [超分辨率] Yan Liang, Xiaohua Xie, and Jian-Huang Lai. Face hallucination based on morphological component analysis. Signal Processing, 2013.
跨攝像頭視覺對象分析：
  • [換衣服條件下的小股人羣重識別] Quan Zhang, Jianhuang Lai, Xiaohua Xie, Xiaofeng Jin, Sien Huang. Separable Spatial-Temporal Residual Graph for Cloth-Changing Group Re-Identification. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024.（中科院1區，CCF A類）
  • [小股人羣重識別] Quan Zhang, Jianhuang Lai, Zhanxiang Feng, Xiaohua Xie. Uncertainty Modeling for Group Re-Identification, International Journal of Computer Vision (IJCV), 2024. （CCF A類）
  • [多元時空信息輔助的跨攝像頭行人重識別及軌跡分析] Xin Zhang, Xiaohua Xie, Jianhuang Lai, Wei-Shi Zheng. Cross-camera Trajectories Help Person Retrieval in a Camera Network. IEEE Transactions on Image Processing (TIP), 2023. (中科院1區，CCF A類) [Code and Data][CSIG中文推介]
  • [多元時空信息輔助的行人軌跡分析及人羣檢測] Xin Zhang, Xiaohua Xie, Li Wen, Jianhuang Lai. People Group Detection with Global Trajectory Extraction in a Disjoint Camera Network. Neurocomputing, 2024.
  • [融合時空信息的行人再識別] Guangcong Wang, Jian-Huang Lai, Peigen Huang, Xiaohua Xie. Spatial-Temporal Person Re-identification. AAAI 2019. （CCF A類）[Code]
  • [小股人羣重識別] Quan Zhang, Jianhuang Lai, Zhanxiang Feng, Xiaohua Xie. Uncertainty Modeling with Second-Order Transformer for Group Re-Identification. AAAI 2022. （CCF A類）
  • [跨天地行人重識別] Quan Zhang, Lei Wang, Vishal M. Patel, Xiaohua Xie, Jianhuang Lai. View-decoupled Transformer for Person Re-identification under Aerial-ground Camera Network. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.（CCF A類）[演講視頻]
  • [無監督小股人羣重識別] Hongxu Chen, Quan Zhang, Jian-Huang Lai, Xiaohua Xie. Unsupervised Group Re-Identification via Adaptive Clustering-Driven Progressive Learning. AAAI 2024. （CCF A類）
  • [跨模態（文本-圖像）行人檢索] Qiyang Peng, Lingxiao Yang, Xiaohua Xie, Jianhuang Lai. Learning Weak Semantics by Feature Graph for Attribute-based Person Search. IEEE Transactions on Image Processing (TIP), 2023. (CCF A類)
  • [虛擬場景輔助訓練的人羣重識別] Quan Zhang, Kaiheng Dang, Jian-Huang Lai, Xiaohua Xie, Zhanxiang Feng. Modeling 3D Layout for Group Re-Identification. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.（CCF A類）
  • [行人重識別] Quan Zhang, Jianhuang Lai, Zhanxiang Feng, Xiaohua Xie. Seeing Like a Human: Asynchronous Learning with Dynamic Progressive Refinement for Person Re-identification. IEEE Transaction on Image Processing (TIP), 2021. (中科院1區，CCF A類)
  • [跨模態（紅外-可見光）無監督行人再識別] Wenqi Liang, Guangcong Wang, Jianhuang Lai, Xiaohua Xie. Homogeneous-to-Heterogeneous: Unsupervised Learning for RGB-Infrared Person Re-Identification. IEEE Transactions on Image Processing (TIP), 2021. (中科院1區，CCF A類)
  • [跨模態（紅外-可見光）行人再識別] Zhanxiang Feng, Jianhuang Lai, Xiaohua Xie. Learning Modality-specific Representation for Visible-Infrared Person Re-Identification. IEEE Transaction on Image Processing (TIP), 2020. (中科院1區，CCF A類)
  • [跨模態（紅外-可見光）行人再識別] Quan Zhang, Jianhuang Lai, Zhanxiang Feng, Xiaohua Xie. Learning Modal-Invariant Angular Metric by Cyclic Projection Network for VIS-NIR Person Re-identification. IEEE Transactions on Image Processing (TIP), 2021. (中科院1區，CCF A類)
  • [視角相關的行人再識別] Zhanxiang Feng, Jianhuang Lai, and Xiaohua Xie. Learning View-Specific Deep Networks for Person Re-Identification. IEEE Transactions on Image Processing (TIP), 2018. (中科院1區，CCF A類)
  • [跨模態（視頻-圖像）行人再識別] Guangcong Wang, Jianhuang Lai, Xiaohua Xie. P2SNet: Can an Image Match a Video for Person Re-identification in an End-to-end Way? IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2018 (中科院1區)
  • [非監督視頻行人重識別] Jinhao Qian, Xiaohua Xie. Successive Consensus Clustering for Unsupervised Video-based Person Re-identification. IEEE Signal Processing Letters, 2022.
計算機視覺基礎算法（分割、檢測、光流）：
  • [單解碼層稀疏檢測器] Shenghao Fu, Junkai Yan, Yipeng Gao, Xiaohua Xie, Wei-Shi Zheng. ASAG: Building Strong One-Decoder-Layer Sparse Detectors via Adaptive Sparse Anchor Generation. International Conference on Computer Vision (ICCV), 2023.（CCF A類）
  • [顯著性目標檢測實驗性綜述] Huajun Zhou, Yang Lin, Lingxiao Yang, Jianhuang Lai, Xiaohua Xie. Benchmarking Deep Models on Salient Object Detection. Pattern Recognition, 2023. (中科院1區) [Code]
  • [無監督顯著目標檢測] Huajun Zhou, Bo Qiao, Lingxiao Yang, Jianhuang Lai, Xiaohua Xie. Texture-guided Saliency Distilling for Unsupervised Salient Object Detection. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.（CCF A類）[Code]
  • [個性化顯著性目標分割] Huajun Zhou , Lingxiao Yang , Xiaohua Xie, Jianhuang Lai. Selective Intra-image Similarity for Personalized Fixation-based Object Segmentation. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022. (中科院1區)
  • [無監督顯著性目標檢測] Huajun Zhou, Peijia Chen, Lingxiao Yang, Xiaohua Xie, Jianhuang Lai. Activation to Saliency: Forming High-Quality Labels for Unsupervised Salient Object Detection. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022. (中科院1區) [Code]
  • [弱監督語義分割] Qi Chen, Lingxiao Yang, Jian-Huang Lai, Xiaohua Xie. Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.（CCF A類）[Code]
  • [弱監督語義分割] Qi Chen, Yun Chen, Yuheng Huang, Xiaohua Xie, Lingxiao Yang. Region-based Online Selective Examination for Weakly Supervised Semantic Segmentation. Information Fusion, 2024. (中科院1區)
  • [缺陷視覺檢測] Quan Zhang, Jianhuang Lai, Junyong Zhu, Xiaohua Xie. Wavelet-Guided Promotion-Suppression Transformer for Surface-Defect Detection. IEEE Transactions on Image Processing (TIP), 2023. (中科院1區，CCF A類)
  • [視頻目標分割] Zixuan Chen, Chunchao Guo, Jianhuang Lai, Xiaohua Xie. Motion-Appearance Interactive Encoding for Object Segmentation in Unconstrained Videos. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020. (中科院1區)
  • [視覺顯著目標分割] Huajun Zhou, Jianhuang Lai, Zixuan Chen, Lingxiao Yang, Xiaohua Xie. Interactive Two-Stream Decoder for Accurate and Fast Saliency Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.（CCF A類）[Code]
  • [視覺顯著目標分割] Zixuan Chen, Huajun Zhou, Jianhuang Lai, Lingxiao Yang, Xiaohua Xie. Contour-Aware Loss: Boundary-Aware Learning for Salient Object Segmentation. IEEE Transaction on Image Processing (TIP), 2021. (中科院1區，CCF A類)
  • [航拍場景人流密度估計] Jingyu Chen, Shengjie Xiu, Xiang Chen, Hao Guo, Xiaohua Xie. Flounder-Net: An Efficient CNN for Crowd Counting by Aerial Photography. Neurocomputing, 2021.
  • [光流估計] Jun Chen, Jianhuang Lai, Zemin Cai, Xiaohua Xie, Zhigeng Pan. Optical Flow Estimation Based on the Frequency-Domain Regularization. IEEE Transactions on Circuits and Systems for Video Technology(TCSVT), 2021. (中科院1區) [Code]
  • [光流估計] Jun Chen, Zemin Cai, Jianhuang Lai, Xiaohua Xie. A Filtering Based Framework For Optical Flow Estimation. IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2019. (中科院1區)
  • [光流估計] Jun Chen, Jianhuang Lai, Zemin Cai, Xiaohua Xie. Fast Optical Flow Estimation Based on Split Bregman Method. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). 2018. (中科院1區) [Code]
  • [光流估計] Jun Chen, Zemin Cai, Jianhuang Lai, Xiaohua Xie. Efficient Segmentation-Based PatchMatch for Large Displacement Optical Flow Estimation. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). 2018. (中科院1區) [Code]
  • [光流估計] Ling Mei, Jianhuang Lai, Xiaohua Xie, Junyong Zhu, Jun Chen. Illumination-Invariance Optical Flow Estimation Using Weighted Regularization Transform. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2019. (中科院1區)
AI安全（模型對抗攻防）：
  • [小樣本對抗訓練] Junhao Dong, Piotr Koniusz, Junxi Chen, Xiaohua Xie, Yew-Soon Ong. Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.（CCF A類）[演講視頻]
  • [概率對抗訓練] Junhao Dong, Lingxiao Yang, Yuan Wang, Xiaohua Xie, Jianhuang Lai. Towards Intrinsic Adversarial Robustness Through Probabilistic Training. IEEE Transactions on Image Processing (TIP), 2023. (CCF A類)
  • [反向對抗樣本訓練] Junhao Dong, Junhao_Dong, Seyed-Mohsen Moosavi-Dezfooli, Jianhuang Lai, Xiaohua Xie. The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.（CCF A類）[演講視頻]
  • [對FeepFake的對抗樣本黑盒攻擊] Junhao Dong, Yuan Wang, Jianhuang Lai, Xiaohua Xie. Restricted Black-box Adversarial Attack Against DeepFake Face Swapping. IEEE Transactions on Information Forensics and Security (TIFS), 2023. (中科院1區，CCF A類)
  • [對FeepFake的對抗樣本白盒攻擊] Junhao Dong, Xiaohua Xie. Visually Maintained Image Disturbance Against DeepFake Face Swapping. IEEE International Conference on Multimedia and Expo (ICME), 2021. (CCF B類)
  • [抵抗對抗樣本的小樣本圖像分類] Junhao Dong, Yuan Wang, Jian-Huang Lai, Xiaohua Xie. Improving Adversarially Robust Few-shot Image Classification with Generalizable Representations. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.（CCF A類）
類腦視覺（脈衝神經網絡、事件相機、視覺推理等）：
  • [脈衝神經網絡訓練方法] Jianxiong Tang, JianHuang Lai, Xiaohua Xie, Lingxiao Yang, Wei-Shi Zheng. AC2AS: Activation Consistency Coupled ANN-SNN framework for fast and memory-efficient SNN training. Pattern Recognition, (中科院1區)
  • [類腦神經形態視覺] Jianxiong Tang, Jian-Huang Lai1, Xiaohua Xie, Lingxiao Yang. Spike Count Maximization for Neuromorphic Vision Recognition. International Joint Conference on Artificial Intelligence (IJCAI), 2023. (CCF A類)
  • [脈衝神經網絡SNN訓練] Jianxiong Tang, Jianhuang Lai, Wei-Shi Zheng, Lingxiao Yang, Xiaohua Xie. Relaxation RLIF: A Gradient-based Spiking Neuron for Direct Training Spiking Neural Networks. Neurocomputing, 2022.
  • [類腦視覺推理] Lingxiao Yang, Hongzhi You, Zonglei Zhen, Dahui Wang, Xiaohong Wan, Xiaohua Xie, Ru-Yuan Zhang. Neural Prediction Errors Enable Analogical Visual Reasoning in Human Standard Intelligence Tests. International Conference on Machine Learning (ICML), 2023. (CCF A類)
  • [類腦計算] Yunlong Xu, Lingxiao Yang, Hongzhi You, Zonglei Zhen, Da-Hui Wang, Xiaohong Wan, Xiaohua Xie, Ru-Yuan Zhang. RuleMatch: Matching Abstract Rules for Semi-supervised Learning of Human Standard Intelligence Tests. International Joint Conference on Artificial Intelligence (IJCAI), 2023. (CCF A類)
其它（語音、三維）：
  • [語音情感轉換] Yun Chen, Lingxiao Yang, Qi Chen, Jian-Huang Lai, Xiaohua Xie. Attention-based Interactive Disentangling Network for Instance-level Emotional Voice Conversion. INTERSPEECH 2023. (語音技術國際頂級會議)
  • [多種材料識別] Xiaohua Xie, Lingxiao Yang, Wei-Shi Zheng. Learning Object-Specific DAGs for Multi-Label Material Recognition. Computer Vision and Image Understanding (CVIU), 2016. (CCF B類)
  • [人臉三維重構] Jian-Fang Hu, Wei-Shi Zheng, Xiaohua Xie, and Jianhuang Lai. Sparse Transfer for Facial Shape-from-Shading. Pattern Recognition, vol. 68, August 2017: 272–285. (中科院1區)
  • [手繪三維建模] Xiaohua Xie, Kai Xu, Niloy J. Mitra, Daniel Cohen-Or, Wenyong Gong, Qi Su, Baoquan Chen. Sketch-to-Design: Context-based Part Assembly. Computer Graphics Forum, 2013. (CCF B類)
  • [虛擬數據輔助圖像本徵屬性分解] Guangyun Han, Xiaohua Xie, Jianhuang Lai, Wei-Shi Zheng. Learning an Intrinsic Image Decomposer Using Synthesized RGB-D Dataset. IEEE Signal Processing Letters, 2018.
  • [多種材料識別] Lingxiao Yang, Xiaohua Xie. Exploiting Object Semantic Cues for Multi-label Material Recognition. Neurocomputing, 2016. [1] 
參考資料