李斌 Dr. Bin Li
教授,特聘研究員,博士生導師
廣東省智能信息處理重點實驗室主任,深圳市媒體信息內(nèi)容安全重點實驗室主任
Professor, Research Fellow, PhD. Supervisor
Director of Guangdong Key Lab of Intelligent Information Processing
Director of Shenzhen Key Lab of Media Security
聯(lián)系方式(Contact):
招聘博士后/專職研究人員(年薪33萬起,根據(jù)研究方向匹配程度可達40-50萬)
實驗室主頁:http://media-sec.szu.edu.cn/view/libin105.html
Email: libin [AT] szu.edu.cn
Tel: 0755-22673509
地址:深圳市南山區(qū)白石路深圳大學電子與信息工程學院N801
Address: Room N801, College of Electronics and Information Engineering, Shenzhen University
簡介(Biography):
教授,博導,廣東省自然科學基金杰出青年基金獲得者,深圳市高層次專業(yè)人才,深圳市優(yōu)秀教師,IEEE/CCF/CSIG高級會員,深圳大學新銳研究生導師,入選全球前2%頂尖科學家榜單。獲中山大學通信工程專業(yè)學士學位,通信與信息系統(tǒng)專業(yè)博士學位,美國新澤西理工學院聯(lián)合培養(yǎng)博士。現(xiàn)擔任廣東省智能信息處理重點實驗室主任、深圳市媒體信息內(nèi)容安全重點實驗室主任、廣東省圖象圖形學會副理事長。
研究領(lǐng)域包括人工智能、多媒體處理、信息安全等。發(fā)表包括國際權(quán)威刊物IEEE T-IFS、IEEE T-IP、IEEE T-CSVT等SCI/EI論文150多篇,編著教材2部,谷歌學術(shù)引用6000多次,H指數(shù)34,i-10指數(shù)59。獲國家發(fā)明專利授權(quán)10余項,美國專利授權(quán)2項,轉(zhuǎn)化專利1項,軟件著作權(quán)8項,參與制定技術(shù)標準2件。獲中國計算機學會科學技術(shù)獎自然科學一等獎、深圳市自然科學二等獎。主持國家自然科學基金、深圳市學科布局等科研項目。擔任IEEE T-IFS (Transactions on Information Forensics and Security)、OJ-SP (Open Journal of Signal Processing)期刊編委。
Dr. BIN LI received the B.E. degree in communication engineering and the Ph.D. degree in communication and information system from Sun Yat-sen University, Guangzhou, China, in 2004 and 2009, respectively. He was a Visiting Scholar with the New Jersey Institute of Technology, Newark, NJ, USA, from 2007 to 2008. In 2009, he joined Shenzhen University, Shenzhen, China, where he is currently a professor. He is the Director of Guangdong Key Laboratory of Intelligent Information Processing and the Director of Shenzhen Key Laboratory of Media Security. His current research interests include image processing, multimedia forensics, and pattern recognition.
招生與招聘 (Recruitment):
學碩/學博/博士后:信息與通信工程。
專碩/專博:新一代電子信息技術(shù)
本科生:歡迎優(yōu)秀大二、大三學生參與科研項目
招收對人工智能(機器學習)、多媒體處理、信息安全等研究方向感興趣,態(tài)度認真,勤奮刻苦的學生。提供良好的科研學術(shù)環(huán)境,表現(xiàn)優(yōu)秀者可推薦到國外著名大學培養(yǎng)。已畢業(yè)學生主要在互聯(lián)網(wǎng)頭部企業(yè)、上市公司等從事人工智能、圖像處理、算法研發(fā)等工作。
招聘博士后/專職研究人員(年薪33萬起,根據(jù)研究方向匹配程度可達40-50萬)
1. 招聘研究方向(包括但不限于):機器學習(包括深度學習)、圖像/音頻/視頻處理與分析、計算機視覺、信息安全。
2. 崗位職責:
1)撰寫發(fā)表IEEE Trans/CCF A類級別學術(shù)論文;
2)與合作導師共同承擔重要的科研課題,按計劃完成博士后入站期間的科研任務(wù);
3)協(xié)助團隊及實驗室建設(shè)工作。
3. 應(yīng)聘條件:
1) 年齡在35周歲以下、獲得博士學位不超過3年;
2)具有良好的學術(shù)道德和嚴謹科學態(tài)度、身體健康、能勝任崗位的工作要求;
3)具有較好的編程、英語閱讀和寫作能力。
4. 應(yīng)聘流程:
1) 將個人簡歷發(fā)給libin【AT】szu.edu.cn;
2) 經(jīng)過初篩后進行面試;
3) 在面試結(jié)束后經(jīng)學校審批后再通知是否同意聘用。
招聘方會對申請人遞交的應(yīng)聘材料予以保密。
獲得獎勵(Awards) :
1)科研獎勵
· 圖像隱寫安全關(guān)鍵技術(shù).廣東省計算機學會科學技術(shù)獎自然科學二等獎(1/5). 2023.2
· 自適應(yīng)信息隱寫安全理論與方法.深圳市自然科學二等獎(1/5).2022.5
· 信息隱藏理論與方法,CCF科學技術(shù)獎自然科學一等獎(3/5),2019.10
· 鄭鏗濤,李斌*,曾錦華.應(yīng)用注意力機制的文檔圖像篡改與脫敏定位. 第三屆CSIG媒體取證與安全大會優(yōu)秀論文獎.2022.11
· 陳曉銘,李斌*. 應(yīng)用雙通道Faster R-CNN與注意力機制模型的圖像篡改檢測. 第二十屆全國圖象圖形學學術(shù)會議(NCIG2020), 2020.6 (最佳論文獎)
· Yuankun Huang, Shunquan Tan, Bin Li*, Jiwu Huang. VPCID—A VoIP Phone Call Identification Database. International Workshop on Digital Forensics and Watermarking , 11378: 307-321, 2018.10 (Best Paper)
· Ming Wang, Bin Li*, Shunquan Tan, Xiaolong Li. A Spatial Steganographic Method Employing the Strategy of Clustering Modification Directions. 第十二屆全國信息隱藏暨多媒體信息安全大會優(yōu)秀論文獎. 中國電子學會通信學分會. 2015.3
2)教學獎勵
· 深圳市優(yōu)秀教師.2019.9
· 本科教學突出貢獻獎. 2022.7
· 騰訊優(yōu)秀教學管理團隊獎.2023.6
· 深圳大學優(yōu)秀本科課程獎.2023.4
· 百篇優(yōu)秀碩士學位論文指導教師.2023.7
· 百篇優(yōu)秀本科畢業(yè)論文指導教師.2019.7
· 《概率論與數(shù)理統(tǒng)計》.首屆全國地方高校優(yōu)課聯(lián)盟品牌MOOC. 2016.11
· 優(yōu)秀畢業(yè)研究生指導教師(學生:王明、陳涵、余澤欽)
3)學生競賽(指導教師)
· 盤古石杯全國電子數(shù)據(jù)取證大賽,三等獎,2023.7
· IJCB2022-DFGC深度偽造博弈比賽檢測賽道,冠軍,2022.9
· CSIG圖像圖形技術(shù)挑戰(zhàn)賽(行為識別大賽),華為優(yōu)勝獎,2022.8
· 第二屆中國移動“梧桐杯”大數(shù)據(jù)應(yīng)用創(chuàng)新大賽,優(yōu)秀獎,2022.8
· 第九屆CCF大數(shù)據(jù)與計算智能大賽(CCF-BDCI),二等獎,2022.1
· 荔園挑戰(zhàn)創(chuàng)新創(chuàng)業(yè)大賽,一等獎,2021.12
· IJCB2021-DFGC深度偽造博弈比賽檢測賽道,冠軍,2021.8
· 中國高校計算機大賽——大數(shù)據(jù)挑戰(zhàn)賽,一等獎,2019.9
· 第十二屆中國計算機設(shè)計大賽,二等獎,2019.7
· 挑戰(zhàn)杯大學生課外學術(shù)科技作品競賽,三等獎,2018.12
代表性學術(shù)論文
[27] Weixiang Li, Bin Li*, Weiming Zhang, Shengli Zhang. Quaternary Quantized Gaussian Modulation with Optimal Polarity Map Selection for JPEG Steganography. IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023. (中科院大類一區(qū),TOP期刊,CCF A類,安全領(lǐng)域頂級期刊)
[26] Weixiang Li, Shihang Wu, Bin Li*, Weixuan Tang, Xinpeng Zhang. Payload-Independent Direct Cost Learning for Image Steganography. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2023. (中科院大類一區(qū),TOP期刊,多媒體領(lǐng)域頂級期刊)
[25] Shunquan Tan, Qiushi Li, Laiyuan Li, Bin Li, Jiwu Huang. STD-NET: Search of Image Steganalytic Deep-Learning Architecture via Hierarchical Tensor Decomposition. IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2023. (中科院大類二區(qū),TOP期刊,CCF A類,安全領(lǐng)域頂級期刊)
[24] Xianbo Mo, Shunquan Tan, Weixuan Tang, Bin Li, Jiwu Huang. ReLOAD: Using Reinforcement Learning to Optimize Asymmetric Distortion for Additive Steganography. IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023. (中科院大類一區(qū),TOP期刊,CCF A類,安全領(lǐng)域頂級期刊)
[23] Weixuan Tang, Bin Li*, Weixiang Li, Yuangen Wang, Jiwu Huang. Reinforcement Learning of Non-additive Joint Steganographic Embedding Costs with Attention Mechanism. Science China-Information Sciences, 2023. (中科院大類二區(qū),CCF T1類,國內(nèi)計算領(lǐng)域高質(zhì)量科技期刊)
[22] Han Chen, Yuezun Li, Dongdong Lin, Bin Li*, Junqiang Wu. Watching the BiG Artifacts: Exposing DeepFake Videos via Bi-Granularity Artifacts. Pattern Recognition, 2023. (中科院大類一區(qū),TOP期刊,人工智能領(lǐng)域權(quán)威期刊)
[21] Han Chen, Yuzhen Lin, Bin Li*, Shunquan Tan. Learning Features of Intra-consistency and Inter-diversity: Keys towards Generalizable Deepfake Detection. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2023. (中科院大類一區(qū),TOP期刊,多媒體領(lǐng)域頂級期刊)
[20] Guanglin Li, Bin Li*, Shunquan Tan, Guoping Qiu. Learning Deep Co-occurrence Features. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2023. (中科院大類一區(qū),TOP期刊,多媒體領(lǐng)域頂級期刊)
[19] Weixuan Tang, Bin Li*, Mauro Barni, Jin Li, Jiwu Huang. Improving Cost Learning for JPEG Steganography by Exploiting JPEG Domain Knowledge. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2022. (中科院大類一區(qū),TOP期刊,多媒體領(lǐng)域頂級期刊)
[18] Xinghong Qin, Bin Li*, Shunquan Tan, Weixuan Tang, Jiwu Huang. Gradually Enhanced Adversarial Perturbations on Color Pixel Vectors for Image Steganography. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2022. (中科院大類一區(qū),TOP期刊,多媒體領(lǐng)域頂級期刊)
[17] Long Zhuo, Shunquan Tan, Bin Li, Jiwu Huang. Self-Adversarial Training Incorporating Forgery Attention for Image Forgery Localization. IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022. (中科院大類一區(qū),TOP期刊,CCF A類,安全領(lǐng)域頂級期刊)
[16] Qiushi Li, Shengda Chen, Shunquan Tan, Bin Li, Jiwu Huang. One-Class Double Compression Detection of Advanced Videos Based on Simple Gaussian Distribution Model. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2022. (中科院大類一區(qū),TOP期刊,多媒體領(lǐng)域頂級期刊)
[15] Weixuan Tang, Bin Li*, Mauro Barni, Jin Li and Jiwu Huang. An Automatic Cost Learning Framework for Image Steganography Using Deep Reinforcement Learning. IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2021. (中科院大類一區(qū),TOP期刊,CCF A類,安全領(lǐng)域頂級期刊)
[14] Shunquan Tan, Weilong Wu. Zilong Shao, Qiushi Li, Bin Li, Jiwu Huang. CALPA-NET: Channel-Pruning-Assisted Deep Residual Network for Steganalysis of Digital Images. IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2020. (中科院大類一區(qū),TOP期刊,CCF A類,安全領(lǐng)域頂級期刊)
[14] Xin Liao, Yingbo Yu, Bin Li, Zhongpeng Li, Zheng Qin. A New Payload Partition Strategy in Color Image Steganography. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2020. (中科院大類一區(qū),TOP期刊,多媒體領(lǐng)域頂級期刊)
[13] Yuankun Huang, Bin Li*, Mauro Barni, Jiwu Huang. Identification of VoIP Speech with Multiple Domain Deep Features. IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2019. (中科院大類一區(qū),TOP期刊,CCF A類,安全領(lǐng)域頂級期刊)
[12] WeixuanTang, Bin Li*, Shunquan Tan, Mauro Barni, Jiwu Huang. CNN-based Adversarial Embedding for Image Steganography. IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2019. (中科院大類一區(qū),TOP期刊,CCF A類,安全領(lǐng)域頂級期刊)
[11] Xinghao Jiang, Qiang Xu, Tanfeng Sun, Bin Li, Peisong He. Detection of HEVC Double Compression With the Same Coding Parameters Based on Analysis of Intra Coding Quality Degradation Process. IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2019. (中科院大類一區(qū),TOP期刊,CCF A類,安全領(lǐng)域頂級期刊)
[10] Bin Li, Zhongpeng Li, Shijun Zhou, Shunquan Tan, Xiaoling Zhang. New Steganalytic Features for Spatial Image Steganography based on Derivative Filters and Threshold LBP Operator. IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2017. (中科院大類一區(qū),TOP期刊,CCF A類,安全領(lǐng)域頂級期刊)
[9] Shunquan Tan, Haojie Zhang, Bin Li, Jiwu Huang. Pixel-Decimation-Assisted Steganalysis of Synchronize-Embedding-Changes Steganography. IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2017. (中科院大類二區(qū),CCF A類,安全領(lǐng)域頂級期刊)
[8] Jishen Zeng, Shunquan Tan, Bin Li, Jiwu Huang. Large-scale JPEG image steganalysis using hybrid deep-learning framework. IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2017. (中科院大類二區(qū),CCF A類,安全領(lǐng)域頂級期刊)
[7] Da Luo, Rui Yang, Bin Li and Jiw Huang, Detection of Double Compressed AMR Audio Using Stacked Autoencoder. IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2016. (中科院大類二區(qū),CCF A類,安全領(lǐng)域頂級期刊)
[6] Shengda Chen, Shunquan Tan, Bin Li, Jiwu Huang. Automatic Detection of Object-based Forgery in Advanced Video. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2016. (中科院大類二區(qū),多媒體領(lǐng)域頂級期刊)
[5] Bin Li, Ming Wang, Xiaolong Li, Shunquan Tan, Jiwu Huang. A Strategy of Clustering Modification Directions in Spatial Image Steganography. IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2015. (中科院大類二區(qū),CCF A類,安全領(lǐng)域頂級期刊)
[4] Bin Li, Tian-Tsong Ng, Xiaolong Li, Shunquan Tan, Jiwu Huang. Statistical Model of JPEG Noises and Its Application in Quantization Step Estimation. IEEE Transactions on Image Processing (IEEE TIP), 2015. (中科院大類一區(qū),CCF A類,多媒體領(lǐng)域頂級期刊)
[3] Bin Li, Tian-Tsong Ng, Xiaolong Li, Shunquan Tan, Jiwu Huang. Revealing the Trace of High-Quality JPEG Compression through Quantization Noise Analysis. IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2015. (中科院大類二區(qū),CCF A類,安全領(lǐng)域頂級期刊)
[2] Bin Li, Shunquan Tan, Ming Wang, Jiwu Huang. Investigation on cost assignment in spatial image steganography. IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2014. (中科院大類二區(qū),CCF A類,安全領(lǐng)域頂級期刊)
[1] Xiaolong Li, Bin Li, Bin Yang, General framework to histogram-shifting based reversible data hiding. IEEE Transactions on Image Processing (IEEE TIP), 2013. (中科院大類一區(qū),CCF A類,多媒體領(lǐng)域頂級期刊)
科研項目 (Research Projects):
· 國家自然科學基金聯(lián)合基金項目,可跨域少樣本學習的隱寫分析網(wǎng)絡(luò)研究(U22B2047),2023.01-2026.12,深圳大學課題組負責人
· 國家自然科學基金面上項目,對抗環(huán)境下基于深度學習的JPEG圖像取證與反取證研究(61872244),2019.01-2022.12,主持
· 國家自然科學基金面上項目,非加性失真圖像隱寫研究(61572329),2016.01-2019.12,主持
· 國家自然科學基金青年基金項目,特征向量變化可控的安全隱寫研究(61103174),2012.01-2014.12,主持
· 廣東省自然科學基金杰出青年項目,AI生成型虛假視聽媒體取證技術(shù)研究(2019B151502001),2019.10-2023.9,主持
· 廣東省自然科學基金項目,基于量化噪聲和深度架構(gòu)的JPEG圖像篡改檢測(2014A030313557),2015.01-2018.01,主持
· 深圳市基礎(chǔ)研究重點項目,AI偽造圖像音視頻檢測理論與關(guān)鍵技術(shù)研究(JCYJ20200109105008228),2020.11-2023.10,主持
· 深圳市基礎(chǔ)研究項目,基于深度神經(jīng)網(wǎng)絡(luò)的圖像修復關(guān)鍵技術(shù)(JCYJ20180305124325555),2019.01-2020.12,主持
· 深圳市戰(zhàn)略性新興產(chǎn)業(yè)發(fā)展專項資金項目,數(shù)字可視媒體內(nèi)容篡改盲取證的關(guān)鍵技術(shù)研究(JCYJ20120613113535357),2012.08-2014.08,主持