biography
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个人简介：
周武杰，1983年9月出生，副教授/博士后，硕士生导师，浙江省电子学会理事，ieee senior member，通信学会高级会员，ccf member，中国人工智能学会会员，浙江省“计算机科学与技术”一流学科b类方向负责人。2012年入选“青年骨干教师”，2015年入选“优秀青年教师资助计划”，2016年入选“科大青年英才”，2022年和2023年连续两年入选斯坦福大学发布的全球前2%顶尖科学家榜单。浙江大学信息与通信工程专业博士后，国家留学基金委公派新加坡南洋理工大学访问学者（导师：weisi lin, fellow ieee）。主要从事人工智能与深度学习、机器视觉与模式识别、图像处理等方面的研究；近几年以第一作者在aaai、tip、tnnls、tcsvt、tmm、tii、tits、jstsp、tsmc、tbc、tgrs、tase、tci、tim、mis、tcds、tetci、tiv、ieee sensors journal、jstars、pr、information fusion和中国科学等国际权威sci期刊或核心期刊上发表学术论文70多篇，其中sci收录60多篇（中科院一区31篇, ieee journal/transactions/magazine 41篇，caa-a类期刊32篇, ccf-a和b类期刊/会议31篇，esi热点论文6篇，esi高被引论文20篇，10余篇论文入选tip、tcsvt、tmm、mis和tetci 等期刊的top 50 popular articles），h指数 (h-index)29 (google scholar)，被引频次总计2900 (google scholar))；申请国家发明专利70多项，授权50多项，多项已转让投产；获市科学技术奖二等奖1项；担任国家基金通讯评审专家，浙江省科技专家库专家，广东省基金项目评审专家；担任tip、tnnls、tcsvt、tcyb、tmm、tbc、jstsp、tsmc、spl等国外权威sci期刊稿件评审人。目前，主持国家自然科学基金2项（面上和青年各1项)，省自然科学基金2项，中国博士后基金1项，企业重大横向课题3项，重中之重实验室开放基金2项和教育厅科研项目1项。指导学生获中国服务外包创新创业大赛二等奖1项。
github凯发k8官网下载客户端主页：
e-mail: wujiezhou@163.com
招收研究生（含联合培养、转专业等）:
视觉智能感知与理解实验室(中央支持地方高校改革发展专项资助建设，项目编号：303011-2019-0008)招收硕士研究生（学硕：先进制造与信息化，专硕：机械、应用统计），主要研究方向：人工智能与深度学习、机器视觉与模式识别、图像处理、视觉大数据统计与应用。实验室部分毕业生选择人工智能相关企业工作（起薪15k/月以上）、部分毕业生选择攻读国内外名校博士学位（北京大学、university of liverpool、university of north texas、南京理工大学、上海大学和宁波大学等高校）。目前指导的研究生中10名获国家奖学金（奖金2万/人），3名获卓越学子奖学金（奖金3万/人），1名获校“大学生年度人物”。所指导的研究生都准时毕业（已毕业10多人），未出现延毕。预加入实验室请发个人简历和本科成绩（可系统截图）到e-mail: wujiezhou@163.com
实验室"卓越学子"视频（视频中第2位同学--吴君委）：
实验室"大学生年度人物"（视频中第8位同学--刘劲夫）：
recent news:
10/2023 2022年10月和2023年10月连续两年入选全球前2%顶尖科学家榜单
08/2023 i am honored to be elevated to the grade of ieee senior member
08/2023 主持立项国家自然科学基金面上项目1项
11/2023 one paper has been accepted by expert systems with applications
11/2023 one paper has been accepted by ieee transactions on industrial informatics
11/2023 one paper has been accepted by ieee sensors journal
11/2023 one paper has been accepted by ieee transactions on geoscience and remote sensing
10/2023 one paper has been accepted by ieee transactions on instrumentation and measurement
10/2023 one paper has been accepted by ieee transactions on circuits and systems for video technology
10/2023 one paper has been accepted by ieee transactions on multimedia
10/2023 one paper has been accepted by journal of visual communication and image representation
10/2023 one paper has been accepted by expert systems with applications
10/2023 three papers have been newly selected as esi highly cited paper（esi高被引论文）
10/2023 one paper has been accepted by ieee transactions on intelligent transportation systems
09/2023 one paper has been accepted by ieee transactions on intelligent vehicles
09/2023 one paper has been accepted by ieee transactions on automation science and engineering
08/2023 one paper has been accepted by ieee transactions on geoscience and remote sensing
08/2023 one paper has been accepted by ieee transactions on intelligent transportation systems
07/2023 one paper has been accepted by engineering applications of artificial intelligence
07/2023 one paper has been accepted by ieee transactions on systems, man, and cybernetics: systems
07/2023 one paper has been accepted by ieee transactions on emerging topics in computational intelligence
07/2023 one paper has been accepted by ieee signal processing letters
06/2023 one paper has been accepted by engineering applications of artificial intelligence
05/2023 one paper has been accepted by ieee transactions on circuits and systems for video technology
05/2023 one paper has been accepted by ieee transactions on image processing
04/2023 one paper has been accepted by ieee signal processing letters
03/2023 one paper has been accepted by digital signal processing
02/2023 one paper has been accepted by ieee journal of selected topics in applied earth observations and remote sensing
02/2023 one paper has been accepted by ieee transactions on intelligent transportation systems
02/2023 one paper has been accepted by ieee transactions on image processing
01/2023 one paper has been accepted by ieee geoscience and remote sensing letters
01/2023 one paper has been accepted by information fusion (if: 17.564)
01/2023 one paper has been accepted by ieee transactions on instrumentation and measurement
01/2023 one paper has been accepted by ieee geoscience and remote sensing letters
01/2023 one paper has been accepted by the visual computer
01/2023 one paper has been accepted by neurocomputing
12/2022 one paper has been accepted by ieee signal processing letters
12/2022 one paper has been accepted by journal of visual communication and image representation
11/2022 one paper has been accepted by optik
11/2022 one paper has been accepted by digital signal processing
10/2022 one paper has been accepted by remote sensing
10/2022 one paper has been accepted by ieee signal processing letters
10/2022 one paper has been accepted by international journal of applied earth observation and geoinformation
10/2022 one paper has been accepted by engineering applications of artificial intelligence
09/2022 one paper has been accepted by ieee signal processing letters
08/2022 one paper has been accepted by ieee transactions on intelligent transportation systems
08/2022 one paper has been accepted by applied optics
07/2022 one paper has been newly selected as esi hot paper （esi热点论文）
07/2022 two papers have been newly selected as esi highly cited paper （esi高被引论文）
07/2022 one paper has been accepted by neurocomputing
07/2022 one paper has been accepted by ieee signal processing letters
06/2022 one paper is recognized as popular articles (the 50 most frequently accessed documents) in ieee transactions on multimedia
05/2022 one paper has been newly selected as esi hot paper （esi热点论文）
05/2022 one paper has been accepted by ieee journal of selected topics in signal processing
05/2022 one paper is recognized as popular articles (the 50 most frequently accessed documents) in ieee transactions on circuits and systems for video technology
04/2022 one paper has been accepted by ieee transactions on intelligent vehicles
03/2022 one paper has been accepted by ieee transactions on multimedia
03/2022 one paper has been accepted by ieee journal of selected topics in signal processing
03/2022 one paper has been accepted by ieee transactions on emerging topics in computational intelligence
01/2022 one paper has been newly selected as esi highly cited paper
01/2022 one paper is recognized as popular articles (the 50 most frequently accessed documents) in ieee intelligent systems.
01/2022 one paper is recognized as popular articles (the 50 most frequently accessed documents) in ieee transactions on image processing.
12/2021 one paper has been accepted by aaai, acceptance rate 15%
12/2021 one paper has been accepted by neurocomputing
12/2021 one paper has been accepted by ieee signal processing letters
12/2021 one paper has been accepted by journal of electronic imaging
11/2021 one paper has been newly selected as esi highly cited paper
09/2021 one paper has been accepted by ieee transactions on emerging topics in computational intelligence
09/2021 one paper has been newly selected as esi highly cited paper
08/2021 one paper has been accepted by ieee transactions on geoscience and remote sensing
08/2021 one paper has been accepted by ieee transactions on image processing
08/2021 one paper has been accepted by science china information sciences （中国科学）
08/2021 one paper has been accepted by ieee transactions on neural networks and learning systems
[1] w. zhou*, j. liu, j. lei, l. yu and j.-n. hwang, "gmnet: graded-feature multilabel-learning network for rgb-thermal urban scene semantic segmentation," ieee transactions on image processing, vol. 30, pp. 7790–7802, 2021. (ccf a类, esi 热点论文, esi高被引论文)
[2] w. zhou*, y. zhu*, j. lei, r. yang, l. yu, "lsnet: lightweight spatial boosting network for detecting salient objects in rgb-thermal images," ieee transactions on image processing, vol. 32, pp. 1329–1340, 2023.（ccf a类, esi高被引论文）
[3] w. zhou, f. sun, q. jiang, r. cong, j.-n. hwang, "wavenet: wavelet network with knowledge distillation for rgb-t salient object detection," ieee transactions on image processing, vol. 32, pp. 3027–3039, 2023.（ccf a类）
[4] w. zhou*, l. yu, y. zhou, w. qiu, m.-w. wu, and t. luo, "local and global feature learning for blind quality evaluation of screen content and natural scene images,” ieee transactions on image processing, vol. 27, no. 5, pp. 2086–2095, may 2018. （ccf a类）
[5] w. zhou*, y. cai, l. zhang, w. yan and l. yu, "utlnet: uncertainty-aware transformer localization network for rgb-depth mirror segmentation," ieee transactions on multimedia, doi: 10.1109/tmm.2023.3323890.
[6] w. zhou*, y. zhu, j. lei, j. wan, and l. yu, "ccafnet: crossflow and cross-scale adaptive fusion network for detecting salient objects in rgb-d images," ieee transactions on multimedia, vol. 24, pp. 2192–2204, 2022.（esi高被引论文）
[7] w. zhou*, j. wu, j. lei, j.-n. hwang and l. yu, "salient object detection in stereoscopic 3d images using a deep convolutional residual autoencoder," ieee transactions on multimedia, vol. 23, pp. 3388–3399, 2021.（esi高被引论文）
[8] w. zhou*, x. lin, j. lei, l. yu and j.-n. hwang, "mffenet: multiscale feature fusion and enhancement network for rgb–thermal urban road scene parsing," ieee transactions on multimedia, vol. 24, pp. 2526–2538, 2022.（esi高被引论文）
[9] w. zhou*, e. yang, j. lei, j. wan, and l. yu, "pgdenet: progressive guided fusion and depth enhancement network for rgb-d indoor scene parsing," ieee transactions on multimedia, vol. 25, pp. 3483–3494, 2023. （esi高被引论文）
[10] w. zhou*, l. yu, “binocular responses for no-reference 3d image quality measurement," ieee transactions on multimedia, vol. 16, no. 6, pp. 1077–1084, 2016.
[11] w. zhou*, q. guo, j. lei, l. yu and j.-n. hwang, "ecffnet: effective and consistent feature fusion network for rgb-t salient object detection,”ieee transactions on circuits and systems for video technology, vol. 32, no. 3, pp. 1224–1235, march 2022（esi 热点论文，esi高被引论文）
[12] w. zhou*, h. zhang, w. yan, and w. lin, "mmsmcnet: modal memory sharing and morphological complementary networks for rgb-t urban scene semantic segmentation," ieee transactions on circuits and systems for video technology, early access, 2023, doi: 10.1109/tcsvt.2023.3275314.
[13] w. zhou, j. hong, w. yan and q. jiang, "modal evaluation network via knowledge distillation for no-service rail surface defect detection," ieee transactions on circuits and systems for video technology, early access, 2023, doi: 10.1109/tcsvt.2023.3325229.
[14] w. zhou, c. ji, and m. fang, "transmission line detection through bidirectional guided registration with knowledge distillation," ieee transactions on industrial informatics, 2023, doi: 10.1109/tii.2023.3336349.
[15] w. zhou*, q. guo, j. lei, l. yu and j.-n. hwang, "irfr-net: interactive recursive feature-reshaping network for detecting salient objects in rgb-d images," ieee transactions on neural networks and learning systems, doi: 10.1109/tnnls.2021.3105484.（esi 热点论文，esi高被引论文）
[16] w. zhou*, y. lv, j. lei and l. yu, "global and local-contrast guides content-aware fusion for rgb-d saliency prediction," ieee transactions on systems, man, and cybernetics: systems, vol. 51, no. 6, pp. 3641–3649, june 2021. （esi高被引论文）
[17] w. zhou*, t. gong, j. lei and l. yu, "dbcnet: dynamic bilateral cross-fusion network for rgb-t urban scene-understanding in intelligent vehicles," ieee transactions on systems, man, and cybernetics: systems, doi: 10.1109/75mc20233298921.
[18] w. zhou*, e. yang, j. lei, and l. yu, "frnet: feature reconstruction network for rgb-d indoor scene parsing," ieee journal of selected topics in signal processing, vol. 16, no. 4, pp. 677–687, june 2022（esi 热点论文，esi高被引论文）
[19] w. zhou*, j. jin, j. lei, and l. yu, "cimfnet: cross-layer interaction and multiscale fusion network for semantic segmentation of high-resolution remote sensing images," ieee journal of selected topics in signal processing, vol. 16, no. 4, pp. 666–676, june 2022.（esi高被引论文）
[20] w. zhou*, y. pan, l. y, j. lei, and l. yu, "defnet: dual-branch enhanced feature fusion network for rgb-t crowd counting," ieee transactions on intelligent transportation systems, vol. 23, no. 12, pp. 24540–24549, dec. 2022.
[21] w. zhou*, y. lv, j. lei, and l. yu, "embedded control gate fusion and attention residual learning for rgb–thermal urban scene parsing," ieee transactions on intelligent transportation systems, vol. 24, no. 5, pp. 4794-4803, may 2023. （esi高被引论文）
[22] s. dong (研究生), w. zhou*, c. xu, and w. yan, "egfnet: edge-aware guidance fusion network for rgb–thermal urban scene parsing," ieee transactions on intelligent transportation systems, early access, 2023, doi:10.1109/tits.2023.3306368.
[23] w. zhou*, x. yang, j. lei, w. yan and l. yu, "mc3net: multimodality cross-guided compensation coordination network for rgb-t crowd counting," ieee transactions on intelligent transportation systems, doi: 10.1109/tits.2023.3321328.
[24] w. zhou*, j. jin, j. lei, and j.-n. hwang, "cegfnet: common extraction and gate fusion network for scene parsing of remote sensing images," ieee transactions on geoscience and remote sensing, vol. 60, pp. 1–10, 2022, art no. 5405110.
[25] w. zhou, x. fan, w. yan, s. shan, q. jiang, and j.-n. hwang, "graph attention guidance network with knowledge distillation for semantic segmentation of remote sensing images," ieee transactions on geoscience and remote sensing, vol. 61, pp. 1–15, 2023, art no. 4506015.
[26] w. zhou, y. xiao, w. yan, and l. yu, "cmpffnet: cross-modal and progressive feature fusion network for rgb-d indoor scene semantic segmentation," ieee transactions on automation science and engineering, 2023, doi: 10.1109/tase.2023.3313122.
[27] w. zhou*, w. qiu, m. wu. "utilizing dictionary learning and machine learning for blind quality assessment of 3d images," ieee transactions on broadcasting, vol. 63, no. 2, pp. 404–415, june 2017.
[28] w. zhou*, s. dong, j. lei, and l. yu, "mtanet: multitask-aware network with hierarchical multimodal fusion for rgb-t urban scene understanding," ieee transactions on intelligent vehicles, vol. 8, no. 1, pp. 48–58, jan. 2023.（esi高被引论文）
[29] w. zhou, s. dong, m. fang, l. yu, "cacfnet: cross-modal attention cascaded fusion network for rgb-t urban scene parsing" ieee transactions on intelligent vehicles, 2023, doi: 10.1109/tiv.2023.3314527.
[30] w. zhou*, j. lei, t. luo, "tsnet: three-stream self-attention network for rgb-d indoor semantic segmentation," ieee intelligent systems, vol. 36, no. 4, pp. 73–78, july-aug. 2021. （esi高被引论文）
[31] w. zhou, c. ji, and m. fang, "effective dual-feature fusion network for transmission line detection," ieee sensors journal, 2023, doi: 10.1109/jsen.2023.3333322.
[32] w. zhou*, s. lv, j. lei, and l. yu, "rfnet: reverse fusion network with attention mechanism for rgb-d indoor scene understanding," ieee transactions on emerging topics in computational intelligence, vol. 7, no. 2, pp. 598–603, april 2023.
[33] w. zhou*, y. zhu, j. lei, j. wan, and l. yu, "apnet: adversarial-learning-assistance and perceived importance fusion network for all-day rgb-t salient object detection," ieee transactions on emerging topics in computational intelligence, vol. 6, no. 4, pp. 957–968, aug. 2022.
[34] w. zhou*, s. pan, j. lei, and l. yu, "tmfnet: three-input multilevel fusion network for detecting salient objects in rgb-d images," ieee transactions on emerging topics in computational intelligence, vol. 6, no. 3, pp. 593–601, june 2022.
[35] w. zhou, g. xu, f. qiang“acenet: auxiliary context-information enhancement network for rgb-d indoor scene semantic segmentation,” ieee transactions on emerging topics in computational intelligence, 2023, doi: 10.1109/tetci.2023.3303930.
[36] w. zhou*, w. liu, j. lei, t. luo, l. yu, "deep binocular fixation prediction using hierarchical multimodal fusion network," ieee transactions on cognitive and developmental systems, vol. 15, no. 2, pp. 476–486, june 2023. （esi高被引论文）
[37] w. zhou*, j. lei, q. jiang, l. yu and t. luo, "blind binocular visual quality predictor using deep fusion network," ieee transactions on computational imaging, vol. 6, pp. 883–893, 2020
[38] w. zhou*, and j. hong,“fhenet: lightweight feature hierarchical exploration network for real-time rail surface defect inspection in rgb-d images,”ieee transactions on instrumentation and measurement, vol. 72, pp. 1–8, 2023, art no. 5005008. （esi 热点论文，esi高被引论文）
[39] w. zhou*, x. fan, l. yu, and j. lei, "misnet: multiscale cross-layer interactive and similarity refinement network for scene parsing of aerial images," ieee journal of selected topics in applied earth observations and remote sensing, vol. 16, pp. 2025–2034, 2023.（esi 热点论文，esi高被引论文）
[40] b. wang (研究生), w. zhou*, w. yan, q. jiang and r. cong, "penet-kd: progressive enhancement network via knowledge distillation for rail surface defect detection," ieee transactions on instrumentation and measurement, doi: 10.1109/tim.2023.3330222.
[41] w. zhou*, c. liu, j. lei, and l. yu, "remaking learning: a lightweight network for saliency redetection on rgb-d images," science china information sciences, vol. 65, no. 5, article number: 160107, 2022. （ccf a类）
[42] w. zhou*, s. dong, c. xu, y. qian, "edge-aware guidance fusion network for rgb–thermal scene parsing," in thirty-sixth aaai conference on artificial intelligence (aaai), vol. 36, no. 3, pp. 3571–3579, 2022. (ccf a类, 人工智能顶级会议)
[43] w. zhou*, y. yue, m. fang, x. qian, r. yang, l. yu, “bcinet: bilateral cross-modal interaction network for indoor scene understanding in rgb-d images," information fusion, vol. 94, pp. 32–42, 2023. (esi 热点论文，esi高被引论文）
[44] w. zhou*, l. yu, y. zhou, w. qiu, m.-w. wu, ting luo, “blind quality estimator for 3d images based on binocular combination and extreme learning machine," pattern recognition, vol. 71, pp. 207–217, nov. 2017.
[45] w. zhou*, l. yu, w. qiu, y. zhou, m. wu, “local gradient patterns (lgp): an effective local statistical features extraction scheme for no-reference image quality assessment," information sciences, vol. 397–398, pp. 1–14, aug. 2017.
[46] j. jin (研究生), w. zhou*, l. ye, j. lei, l. yu, x. qian, t. luo, dasfnet: dense-attention–similarity-fusion network for scene classification of dual-modal remote-sensing images," international journal of applied earth observation and geoinformation, vol. 115, 2022, art. no. 103087. (sci,中科院一区)
[47] x. fan (研究生), w. zhou*, x. qian, and w. yan, "progressive adjacent-layer coordination symmetric cascade network for semantic segmentation of multimodal remote sensing images,” expert systems with applications, 2023, doi: 10.1016/j.eswa.2023.121999. (sci, 中科院一区)
[48] j. wu (研究生), w. zhou*, t. luo, l. yu, j. lei, "multiscale multilevel context and multimodal fusion for rgb-d salient object detection,”signal processing, vol. 178, 2021, 107766.（sci, esi高被引论文, 中科院一区）
t. gong (研究生), w. zhou*, x. qian, j. lei, and l. yu, global contextually guided lightweight network for rgb-thermal urban scene understanding. engineering applications of artificial intelligence, vol. 117, 2023, art. no. 105510. (sci)
e. yang (研究生), w. zhou*, x. qian, j. lei, l. yu, drnet: dual-stage refinement network with boundary inference for rgb-d semantic segmentation of indoor scenes, engineering applications of artificial intelligence, vol. 125, 2023, art. no. 106729. (sci)
j. yang (研究生), w. zhou*, r. wu, and m. fang, "csanet: contour and semantic feature alignment fusion network for rail surface defect detection," ieee signal processing letters, vol. 30, pp. 972–976, 2023.(sci)
y. pan (研究生), w. zhou*, x. qian, l. ye, j. lei, l. yu, "cginet: cross-modality grade interaction network for rgb-t crowd counting," engineering applications of artificial intelligence, vol. 126, 2023, art. no. 106885.(sci)
c. ji (研究生), w. zhou*, j. lei and l. ye, "infrared and visible image fusion via multiscale receptive field amplification fusion network," ieee signal processing letters, vol. 30, pp. 493–497, 2023.（sci）
s. dong (研究生), w. zhou*, x. qian, l. yu, "gebnet: graph-enhancement branch network for rgb-t scene parsing," ieee signal processing letters, vol. 29, pp. 2273–2277, 2022.（sci）
g. xu (研究生), w. zhou*, x. qian, y. zhang, j. lei, and l. yu, “thcanet: two-layer hop cascaded asymptotic network for robot-driving road-scene semantic segmentation in rgb-d images,” digital signal processing, vol. 136, 2023, art. no. 104011. (sci)
j. wu (研究生), w. zhou*, x. qian, j. lei, l. yu, t. luo, “menet: lightweight multimodality enhancement network for detecting salient objects in rgb-thermal images,” neurocomputing, vol. 527, 2023, pp. 119–129. (sci)
j. jin (研究生), w. zhou*, r. yang, l. ye and l. yu, “edge detection guide network for semantic segmentation of remote-sensing images,”ieee geoscience and remote sensing letters, vol. 20, pp. 1–5, 2023, art no. 5000505. (sci)
j. ma (研究生), w. zhou*, j. lei, l. yu, "adjacent bi-hierarchical network for scene parsing of remote sensing images," ieee geoscience and remote sensing letters, vol. 20, jan. 2023, art. no. 3000705.
j. wu (研究生), w. zhou*, w. qiu and l. yu, "mfenet: multitype fusion and enhancement network for detecting salient objects in rgb-t images," digital signal processing, vol. 133, 2023, art. no. 103827. (sci)
y. cai (研究生), w. zhou*, l. zhang, l. yu, t. luo, "dhfnet: dual-decoding hierarchical fusion network for rgb-thermal semantic segmentation," the visual computer, 2023, doi: 10.1007/s00371-023-02773-6. (sci)
j. wu (研究生), w. zhou*, "lbenet: lightweight boundary enhancement network for detecting salient objects in rgb-d images," optik, vol. 271, 2022, art. no. 170204.(sci)
j. ma (研究生), w. zhou*, x. qian, l. yu, "deep-separation guided progressive reconstruction network for semantic segmentation of remote sensing images," remote sensing, vol. 14, 2022, art. no. 5510. （sci）
f. sun (研究生), w. zhou*, l. ye and l. yu, "hierarchical decoding network based on swin transformer for detecting salient objects in rgb-t images," ieee signal processing letters, vol. 29, pp. 1714–1718, 2022.（sci）
j. wu (研究生), w. zhou*, w. qiu and l. yu, "depth repeated-enhancement rgb network for rail surface defect inspection," ieee signal processing letters, vol. 29, pp. 2053–2057, 2022.（sci）
y. pan (研究生), w. zhou*, l. ye and l. yu, "hffnet: hierarchical features fusion network for blind binocular image quality prediction," applied optics, vol. 61, no. 26, 2022, pp. 7602–7607.（sci）
g. xu (研究生), w. zhou*, et al. "ccfnet: cross-complementary fusion network for rgb-d scene parsing of clothing images," journal of visual communication and image representation, 90, 2023, art. no. 103727.（sci）
e.yang(研究生), w. zhou*, x. qain, l. yu, "mgcnet: multilevel gated collaborative network for rgb-d semantic segmentation of indoor scene" ieee signal processing letters, vol. 29, pp. 2567–2571, 2022.（sci）
j. liu (研究生), w. zhou*, y. cui, j. lei, l. yu, t. luo, "gcnet: grid-like context-aware network for rgb-thermal semantic segmentation," neurocomputing, vol. 506, 2022, pp. 60–67.（sci）
y. yue (研究生), w. zhou*, j. lei, l. yu, rtlnet: recursive triple-path learning network for scene parsing of rgb-d images, ieee signal processing letters, vol. 29, pp. 429–433, 2022.（sci）
q. guo (研究生), w zhou*, j. lei, l. yu, tsfnet: two-stage fusion network for rgb-t salient object detection, ieee signal processing letters, vol. 28, pp. 1655–1659, 2021.（sci）
j. wu (研究生), w zhou*, boundary-enhanced attention-aware network for detecting salient objects in rgb-d images, journal of electronic imaging. vol. 30, no. 6, 2021, pp. 063032–063032. （sci）
y. zhu (研究生), w. zhou*, q. li, l. yu, parallax estimation enhance network for binocular salient object detection, ieee signal processing letters, vol. 28, pp. 927–931, 2021.（sci）
y. yue (研究生), w. zhou*, j. lei, l. yu, two-stage cascaded decoder for semantic segmentation of rgb-d images, ieee signal processing letters, vol. 28, pp. 1115–1119, 2021.（sci）
k. huang (本科生) and w. zhou*, saliency prediction of s3d images, computational intelligence and neuroscience, https://doi.org/10.1155/2021/8841681（sci）
c. liu (研究生), w. zhou*, y. chen, j. lei, "asymmetric deeply fused network for detecting salient objects in rgb-d images,” ieee signal processing letters, vol. 27, pp. 1620–1624, 2020.（sci）
w. liu (研究生), w. zhou*, t. luo, "cross-modal feature integration network for human eye-fixation prediction in rgb-d images,”ieee access, vol. 8, pp. 202765–202773, 2020.（sci）
y. lv (研究生), w. zhou*, "hierarchical multimodal adaptive fusion (hmaf) network for prediction of rgb-d saliency,” computational intelligence and neuroscience, https://doi.org/10.1155/2020/8841681（sci）
y. chen (研究生), w. zhou*, "hybrid-attention network for rgb-d salient object detection,” appl. sci. 2020, 10, 5806.（sci）
x. zhang (联合培养研究生), t. jing*, w. zhou, and j. lei, “attention-based contextual interaction asymmetric network for rgb-d saliency prediction,” journal of visual communication and image representation. https://doi.org/10.1016/j.jvcir.2020.102997（sci）
y. lv (研究生), w. zhou*, j. lei, l. ye, and t. luo, “attention-based fusion network for human eye-fixation prediction in 3d images,” optics express, vol. 27, no. 23, pp. 34056–34066, 2019.（sci）
j. yuan (研究生), w. zhou*, and t. luo, “dmfnet: deep multi-modal fusion network for rgb-d indoor scene segmentation,” ieee access, vol. 7, pp. 169350–169358, 2019.（sci）
s. huang (本科生) and w. zhou*, “learning to measure stereoscopic s3d image perceptual quality on the basis of binocular rivalry response,” applied sciences, vol. 9, no. 18, art. no. 3906. 2019.（sci）
w. zhou*, c. liu, j. lei, l. yu, t. luo, "hfnet: hierarchical feedback network with multilevel atrous spatial pyramid pooling for rgb-d saliency detection." neurocomputing, vol. 490, pp. 347–357, 2022.（sci）
w. zhou*, s. pan, j. lei, t. l. yu, multi-level reverse context interactive fusion network for rgb-d salient object detection, ieee signal processing letters, vol. 28, pp. 1525–1529, 2021.（sci）
w. zhou*, y. chen, j. lei, l. yu, x. zhou, t. luo, boundary-aware pyramid attention network for detecting salient objects in rgb-d images, digital signal processing, vol. 111, 2021, art. no. 102975.（sci）
w. zhou*, y. chen, c. liu and l. yu, "gfnet: gate fusion network with res2net for detecting salient objects in rgb-d images," ieee signal processing letters, vol. 27, pp. 800–804, 2020.（sci）
w. zhou*, x. lin, x. zhou, j. lei, l. yu, and t. luo, "multi-layer fusion network for blind stereoscopic 3d visual quality prediction,” signal processing: image communication, vol. 91, 2021, art. no. 116095. （sci）
w. zhou*, s. pan, j. lei, l. yu, x. zhou and t. luo, "three-branch architecture for stereoscopic 3d salient object detection,” digital signal processing, vol. 106, 2020, art. no. 102818. （sci）
w. zhou*, x. lin, j. lei, l. yu, x. zhou and t. luo, "opinion-unaware blind picture quality measurement using deep encoder-decoder architecture,” digital signal processing, vol. 107, 2020, art. no. 102834.（sci）
w. zhou*, l. yu, y. qian, w. qiu, y. zhou, and t. luo, “deep blind quality evaluator for multiply distorted images based on monogenic binary coding,” journal of visual communication and image representation, vol. 60, pp. 305–311, 2019.（sci）
w. zhou*, s. lv, q. jiang, and l. yu, “deep road scene understanding,” ieee signal processing letters, vol. 26, no. 4, pp. 587–591, 2019. （sci）
w. zhou*, y. zhou, w. qiu, t. luo, and zhinian zhai, “perceived quality measurement of stereoscopic 3d images based on sparse representation and binocular combination,” digital signal processing, vol. 93, pp. 128–137, 2019.（sci）
w. zhou*, “blind stereo image quality evaluation based on convolutional network and saliency weighting,” mathematical problems in engineering, 2019.（sci）
w. zhou*, l. yu, y. zhou, w. qiu, j. xiang, and z. zhai, “blind screen content image quality measurement based on sparse feature learning,” signal, image and video processing, vol. 13, no. 3,pp. 525–530, 2019. （sci）
w. zhou*, s. zhang, t. pan, l. yu, w. qiu, y. zhou, and t. luo, “blind 3d image quality assessment based on self-similarity of binocular features,” neurocomputing, vol.224, pp. 128–134, feb. 2017. （sci）
w. zhou*, l. yu, w. qiu, t. luo, z. wang, m. wu, “utilizing binocular vision to facilitate completely blind 3d image quality measurement,” signal processing, vol. 129, pp. 130–136, dec. 2016. （sci）
w. zhou*, l. yu, z. wang, m. wu, t. luo, l. sun, “binocular visual characteristics based fragile watermarking scheme for tamper detection in stereoscopic images,” aeu-international journal of electronics and communications, vol.70, no.1, pp. 77–84, 2016. （sci）
w. zhou*, l. yu, m. wu. ”simulating binocular vision for no-reference 3d visual quality measurement,”optics express, vol. 23, no. 18, pp. 23710–23715, 2015. （sci）
w. zhou*, l. yu, ”perceptual quality measurement of 3d images based on binocular vision,” applied optics, vol. 54, no. 21, pp. 6549–6557, 2015. （sci）
w. zhou*, l. yu, “no-reference stereoscopic image quality measurement based on generalized local ternary patterns of binocular energy response,” measurement science and technology, vol. 26, no. 9, pp. 095404-1–7, 2015. （sci）
w. zhou*, z. wang, m. wu, et al. “dynamics analysis and circuit implementation of a new three-dimensional chaotic system,” optik, vol. 126, no. 3–4, pp. 764–768, 2015. （sci）
w. zhou*, g. jiang, m. yu, f. shao, et al. pmfs: a perceptual modulated feature similarity metric for stereoscopic image quality assessment. ieee signal processing letters, vol. 23, no. 8 , pp. 1003–1006, 2014.（sci）
w. zhou, g. jiang*, m. yu, f. shao, et al. reduced-reference stereoscopic image quality assessment based on view and disparity zero watermarks. signal processing: image communication, vol. 29, no.1, pp.167–176, 2014.（sci）
w. zhou*, g. jiang*, m. yu, z. wang, f. shao, et al. reduced reference stereoscopic image quality assessment using digital watermarking. computers and electrical engineering, vol.40, no.8, pp.104–116, 2014.（sci）
w. zhou*, g.jiang*, m. yu, f. shao, et al. stereoscopic image tamper detection and self-recovery using hierarchical detection and stereoscopic matching. journal of electronic imaging, vol. 23, no.2 , pp. 023022, 2014. （sci）
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