基本信息
张海仓 男 硕导 中国科学院计算技术研究所
电子邮件： zhanghaicang@ict.ac.cn
通信地址： 海淀科学院南路6号
邮政编码：
电子邮件： zhanghaicang@ict.ac.cn
通信地址： 海淀科学院南路6号
邮政编码：
出版信息
发表论文
[1] 朱天, 任密龙, 张海仓. Antibody Design Using a Score-based Diffusion Model Guided by Evolutionary, Physical and Geometric Constraints. The Forty-first International Conference on Machine Learning(ICML 2024). 2024, https://icml.cc/virtual/2024/poster/35143.
[2] 任密龙, 朱天, 张海仓. CarbonNovo: Joint Design of Protein Structure and Sequence Using a Unified Energy-based Model. The Forty-first International Conference on Machine Learning (ICML 2024). 2024, https://icml.cc/virtual/2024/poster/34533.
[3] 任密龙, 于春功, 卜东波, 张海仓. Accurate and robust protein sequence design with CarbonDesign. Nature Machine Intelligence[J]. 2024, 2024(5): 536-547, https://doi.org/10.1038/s42256-024-00838-2.
[4] 刘世伟, 朱天, 任密龙, 于春功, 卜东波, 张海仓. Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model. The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeuIPS 2023). 2023, https://proceedings.neurips.cc/paper_files/paper/2023/file/99088dffd5eab0babebcda4bc58bbcea-Paper-Conference.pdf.
[5] 张海仓, Michelle S. Xu, CHUNG Wendy Kay, SHEN, YUFENG. Predicting functional effect of missense variants using graph attention neural networks. Nature Machine Intelligence[J]. 2022, https://doi.org/10.1038/s42256-022-00561-w.
[6] Xueya Zhou, Pamela Feliciano, Chang Shu, Tianyun Wang, Irina Astrovskaya, Jacob B Hall, Joseph U Obiajulu, Jessica R Wright, Shwetha C Murali, Simon Xuming Xu, Leo Brueggeman, Taylor R Thomas, Olena Marchenko, Christopher Fleisch, Sarah D Barns, LeeAnne Green Snyder, Bing Han, Timothy S Chang, Tychele N Turner, William T Harvey, Andrew Nishida, Brian J ORoak, Daniel H Geschwind, Jacob J Michaelson, Natalia Volfovsky, Evan E Eichler, Yufeng Shen, Wendy K Chung. Integrating de novo and inherited variants in 42,607 autism cases identifies mutations in new moderate-risk genes. NATURE GENETICS[J]. 2022, 54(9): 1305-1319, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9470534/.
[7] Bi, Bei, Wang, Yaojun, Zhang, Haicang, Gao, Yang. Microblog-HAN: A micro-blog rumor detection model based on heterogeneous graph attention network. PLOS ONE[J]. 2022, 17(4): http://dx.doi.org/10.1371/journal.pone.0266598.
[8] Hongjian Qi, Haicang Zhang, Yige Zhao, Chen Chen, John J Long, Wendy K Chung, Yongtao Guan, Yufeng Shen. MVP predicts the pathogenicity of missense variants by deep learning. NATURE COMMUNICATIONS[J]. 2021, 12(1): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7820281/.
[9] Kong, Lupeng, Ju, Fusong, Zhang, Haicang, Sun, Shiwei, Bu, Dongbo. FALCON2: a web server for high-quality prediction of protein tertiary structures. BMC BIOINFORMATICS[J]. 2021, 22(1): http://dx.doi.org/10.1186/s12859-021-04353-8.
[10] Zhang, Haicang, Shen, Yufeng. Template-based prediction of protein structure with deep learning. BMC GENOMICS[J]. 2020, 21(Suppl 11): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7771081/.
[11] Siying Chen, xueya zhou, Eve Byington, Samuel L. Bruce, 张海仓, SHEN, YUFENG. Dissecting Autism Genetic Risk Using Single-cell RNA-seq Data. biorxiv. 2020, https://doi.org/10.1101/2020.06.15.153031.
[12] Feliciano, Pamela, Zhou, Xueya, Astrovskaya, Irina, Turner, Tychele N, Wang, Tianyun, Brueggeman, Leo, Barnard, Rebecca, Hsieh, Alexander, Snyder, LeeAnne Green, Muzny, Donna M, Sabo, Aniko, Gibbs, Richard A, Eichler, Evan E, ORoak, Brian J, Michaelson, Jacob J, Volfovsky, Natalia, Shen, Yufeng, Chung, Wendy K, Abbeduto, Leonard, Acampado, John, Ace, Andrea J, Albright, Charles, Alessandri, Michael, Amaral, David G, Amatya, Alpha, Annett, Robert D, Arriaga, Ivette, Bahl, Ethan, Balasubramanian, Adithya, Bardett, Nicole, Bashar, Asif, Beaudet, Arthur, Beeson, Landon, Bernier, Raphael A, BerryKravis, Elizabeth, Booker, Stephanie, Brewster, Stephanie J, Brooks, Elizabeth, Butler, Martin E, Butter, Eric M, Callahan, Kristen, Camba, Alexies, Carpenter, Sarah, Carriero, Nicholas, Cartner, Lindsey A, Chatha, Ahmad S, Chin, Wubin, Clark, Renee D, Cohen, Cheryl, Courchesne, Eric, Cubells, Joseph F, Currin, Mary Hannah, Daniels, Amy M, DeMarco, Lindsey, Dennis, Megan Y, Dichter, Gabriel S, Ding, Yan, Huyen Dinh, Doan, Ryan, Doddapaneni, HarshaVardhan, Eldred, Sara, Eng, Christine, Erickson, Craig A, Esler, Amy, Fatemi, Ali, Fischer, Gregory J, Fisk, Ian, Fombonne, Eric J, Fox, Emily A, Francis, Sunday, Friedman, Sandra L, Ganesan, Swami, Garrett, Michael, Gazestani, Vahid, Geisheker, Madeleine R, Gerdts, Jennifer A, Geschwind, Daniel H, GoinKochel, Robin P, Griswold, Anthony J, Grosvenor, Luke P, Gruber, Angela J, Gulsrud, Amanda C, Gunderson, Jaclyn, Gutierrez, Anibal, Hale, Melissa N, Haley, Monica, Hall, Jacob B, Hamer, Kira E, Han, Bing, Hanna, Nathan, Harkins, Christina, Harris, Nina, Hauf, Brenda, Hayes, Caitlin, Hepburn, Susan L, Herbert, Lynette M, Heyman, Michelle, Phillips, Brittani A, Horner, Susannah, Hu, Jianhong, HuangStorms, Lark Y, Hutter, Hanna, Istephanous, Dalia, Jacob, Suma, Jensen, William, Jones, Mark, Jordy, Michelle, Juarez, A Pablo, Kanne, Stephen, Kaplan, Hannah E, Kent, Matt, Kitaygorodsky, Alex, Koomar, Tanner, Korchina, Viktoriya, Krentz, Anthony D, Schneider, Hoa Lam, Lamarche, Elena, Landa, Rebecca J, Lash, Alex E, Law, J Kiely, Lawson, Noah, Layman, Kevin, Lechniak, Holly, Lee, Sandra, Lee, Soo J, Coury, Daniel Lee, Martin, Christa Lese, Li, Deana, Li, Hai, Lillie, Natasha, Liu, Xiuping, Lord, Catherine, Mallardi, Malcolm D, Manning, Patricia, Manoharan, Julie, Marini, Richard, Marzano, Gabriela, Mason, Andrew, Matthews, Emily T, McCracken, James T, McKenzie, Alexander P, Momin, Zeineen, Morrier, Michael J, Murali, Shwetha, Myers, Vincent J, Neely, Jason, Nessner, Caitlin, Nicholson, Amy, OBrien, Kaela, OConnor, Eirene, OchoaLubinoff, Cesar, Orobio, Jessica, Ousley, Opal Y, Pacheco, Lillian D, Pandey, Juhi, Paolicelli, Anna Marie, Pawlowski, Katherine G, Pierce, Karen L, Piven, Joseph, Plate, Samantha, Popp, Marc, Pramparo, Tiziano, Prock, Lisa M, Qi, Hongjian, Qiu, Shanping, Rachubinski, Angela L, Rajbhandari, Kshitij, Rana, Rishiraj, Remington, Rick, Rice, Catherine E, Rigby, Chris, Robertson, Beverly E, Roeder, Katherine, Rosenberg, Cordelia R, RussoPonsaran, Nicole, Ruzzo, Elizabeth, Sahin, Mustafa, Salomatov, Andrei, Sandhu, Sophia, Santangelo, Susan, Sarver, Dustin E, Scherr, Jessica, Schultz, Robert T, Schweers, Kathryn A, Shah, Swapnil, Shaikh, Tamim, Shocklee, Amanda D, Simon, Laura, Simon, Andrea R, Singh, Vini, Skinner, Steve, Smith, Kaitlin, Smith, Christopher J, Soorya, Latha, V, Soucy, Aubrie, Stephens, Alexandra N, Stock, Colleen M, Sutcliffe, James S, Swanson, Amy, Tafolla, Maira, Takahashi, Nicole, Thomas, Taylor, Thomas, Carrie, Thompson, Samantha, Tjernagel, Jennifer, Van Metre, Bonnie, VeenstraVanderweele, Jeremy, Vernoia, Brianna M, Wallace, Jermel, Walston, Corrie H, Wang, Jiayao, Warren, Zachary, Wasserburg, Lucy, White, Loran Casey, White, Sabrina, Wodka, Ericka L, Xu, Simon, Yang, Wha S, Yinger, Meredith, Yu, Timothy, Zang, Lan, Zaydens, Hana, Zhang, Haicang, Zhao, Haoquan, SPARK Consortium. Exome sequencing of 457 autism families recruited online provides evidence for autism risk genes. NPJ GENOMIC MEDICINE[J]. 2019, 4(1): http://dx.doi.org/10.1038/s41525-019-0093-8.
[13] Zhang, Haicang, Zhang, Qi, Ju, Fusong, Zhu, Jianwei, Gao, Yujuan, Xie, Ziwei, Deng, Minghua, Sun, Shiwei, Zheng, WeiMou, Bu, Dongbo. Predicting protein inter-residue contacts using composite likelihood maximization and deep learning. BMC BIOINFORMATICS[J]. 2019, 20(1): http://dx.doi.org/10.1186/s12859-019-3051-7.
[14] Chao Wang, Yi Wei, Haicang Zhang, Lupeng Kong, Shiwei Sun, WeiMou Zheng, Dongbo Bu. Constructing effective energy functions for protein structure prediction through broadening attraction-basin and reverse Monte Carlo sampling. BMC BIOINFORMATICS[J]. 2019, 20(S3): 99-108, https://doaj.org/article/6ed28e082ad847f19e2703f86cd71abd.
[15] Zhu, Jianwei, Zhang, Haicang, Li, Shuai Cheng, Wang, Chao, Kong, Lupeng, Sun, Shiwei, Zheng, WeiMou, Bu, Dongbo. Improving protein fold recognition by extracting fold-specific features from predicted residue-residue contacts. BIOINFORMATICS[J]. 2017, 33(23): 3749-3757, http://dx.doi.org/10.1093/bioinformatics/btx514.
[16] Gong, Haie, Zhang, Haicang, Zhu, Jianwei, Wang, Chao, Sun, Shiwei, Zheng, WeiMou, Bu, Dongbo. Improving prediction of burial state of residues by exploiting correlation among residues. BMC BIOINFORMATICS[J]. 2017, 18(Suppl 3): http://dx.doi.org/10.1186/s12859-017-1475-5.
[17] Zhang, Haicang, Gao, Yujuan, Deng, Minghua, Wang, Chao, Zhu, Jianwei, Li, Shuai Cheng, Zheng, WeiMou, Bu, Dongbo. Improving residue-residue contact prediction via low-rank and sparse decomposition of residue correlation matrix. BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS[J]. 2016, 472(1): 217-222, http://ir.itp.ac.cn/handle/311006/23180.
[18] Huang, Chunlin, Liu, Xingwu, Sun, Shiwei, Li, Shuai Cheng, Deng, Minghua, He, Guangxue, Zhang, Haicang, Wang, Chao, Zhou, Yang, Zhao, Yanlin, Bu, Dongbo. Insights into the transmission of respiratory infectious diseases through empirical human contact networks. SCIENTIFIC REPORTS[J]. 2016, 6: http://ir.itp.ac.cn/handle/311006/23184.
[19] Wang, Chao, Zhang, Haicang, Zheng, WeiMou, Xu, Dong, Zhu, Jianwei, Wang, Bing, Ning, Kang, Sun, Shiwei, Li, Shuai Cheng, Bu, Dongbo. FALCON@home: a high-throughput protein structure prediction server based on remote homologue recognition. BIOINFORMATICS[J]. 2016, 32(3): 462-464, http://ir.itp.ac.cn/handle/311006/23139.
[20] Nie, Lei, Liu, Jingjie, Zhang, Haicang, Xu, Zhiwei. On the inapproximability of minimizing cascading failures under the deterministic threshold model. INFORMATION PROCESSING LETTERS[J]. 2014, 114(1-2): 1-4, http://dx.doi.org/10.1016/j.ipl.2013.10.007.
[2] 任密龙, 朱天, 张海仓. CarbonNovo: Joint Design of Protein Structure and Sequence Using a Unified Energy-based Model. The Forty-first International Conference on Machine Learning (ICML 2024). 2024, https://icml.cc/virtual/2024/poster/34533.
[3] 任密龙, 于春功, 卜东波, 张海仓. Accurate and robust protein sequence design with CarbonDesign. Nature Machine Intelligence[J]. 2024, 2024(5): 536-547, https://doi.org/10.1038/s42256-024-00838-2.
[4] 刘世伟, 朱天, 任密龙, 于春功, 卜东波, 张海仓. Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model. The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeuIPS 2023). 2023, https://proceedings.neurips.cc/paper_files/paper/2023/file/99088dffd5eab0babebcda4bc58bbcea-Paper-Conference.pdf.
[5] 张海仓, Michelle S. Xu, CHUNG Wendy Kay, SHEN, YUFENG. Predicting functional effect of missense variants using graph attention neural networks. Nature Machine Intelligence[J]. 2022, https://doi.org/10.1038/s42256-022-00561-w.
[6] Xueya Zhou, Pamela Feliciano, Chang Shu, Tianyun Wang, Irina Astrovskaya, Jacob B Hall, Joseph U Obiajulu, Jessica R Wright, Shwetha C Murali, Simon Xuming Xu, Leo Brueggeman, Taylor R Thomas, Olena Marchenko, Christopher Fleisch, Sarah D Barns, LeeAnne Green Snyder, Bing Han, Timothy S Chang, Tychele N Turner, William T Harvey, Andrew Nishida, Brian J ORoak, Daniel H Geschwind, Jacob J Michaelson, Natalia Volfovsky, Evan E Eichler, Yufeng Shen, Wendy K Chung. Integrating de novo and inherited variants in 42,607 autism cases identifies mutations in new moderate-risk genes. NATURE GENETICS[J]. 2022, 54(9): 1305-1319, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9470534/.
[7] Bi, Bei, Wang, Yaojun, Zhang, Haicang, Gao, Yang. Microblog-HAN: A micro-blog rumor detection model based on heterogeneous graph attention network. PLOS ONE[J]. 2022, 17(4): http://dx.doi.org/10.1371/journal.pone.0266598.
[8] Hongjian Qi, Haicang Zhang, Yige Zhao, Chen Chen, John J Long, Wendy K Chung, Yongtao Guan, Yufeng Shen. MVP predicts the pathogenicity of missense variants by deep learning. NATURE COMMUNICATIONS[J]. 2021, 12(1): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7820281/.
[9] Kong, Lupeng, Ju, Fusong, Zhang, Haicang, Sun, Shiwei, Bu, Dongbo. FALCON2: a web server for high-quality prediction of protein tertiary structures. BMC BIOINFORMATICS[J]. 2021, 22(1): http://dx.doi.org/10.1186/s12859-021-04353-8.
[10] Zhang, Haicang, Shen, Yufeng. Template-based prediction of protein structure with deep learning. BMC GENOMICS[J]. 2020, 21(Suppl 11): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7771081/.
[11] Siying Chen, xueya zhou, Eve Byington, Samuel L. Bruce, 张海仓, SHEN, YUFENG. Dissecting Autism Genetic Risk Using Single-cell RNA-seq Data. biorxiv. 2020, https://doi.org/10.1101/2020.06.15.153031.
[12] Feliciano, Pamela, Zhou, Xueya, Astrovskaya, Irina, Turner, Tychele N, Wang, Tianyun, Brueggeman, Leo, Barnard, Rebecca, Hsieh, Alexander, Snyder, LeeAnne Green, Muzny, Donna M, Sabo, Aniko, Gibbs, Richard A, Eichler, Evan E, ORoak, Brian J, Michaelson, Jacob J, Volfovsky, Natalia, Shen, Yufeng, Chung, Wendy K, Abbeduto, Leonard, Acampado, John, Ace, Andrea J, Albright, Charles, Alessandri, Michael, Amaral, David G, Amatya, Alpha, Annett, Robert D, Arriaga, Ivette, Bahl, Ethan, Balasubramanian, Adithya, Bardett, Nicole, Bashar, Asif, Beaudet, Arthur, Beeson, Landon, Bernier, Raphael A, BerryKravis, Elizabeth, Booker, Stephanie, Brewster, Stephanie J, Brooks, Elizabeth, Butler, Martin E, Butter, Eric M, Callahan, Kristen, Camba, Alexies, Carpenter, Sarah, Carriero, Nicholas, Cartner, Lindsey A, Chatha, Ahmad S, Chin, Wubin, Clark, Renee D, Cohen, Cheryl, Courchesne, Eric, Cubells, Joseph F, Currin, Mary Hannah, Daniels, Amy M, DeMarco, Lindsey, Dennis, Megan Y, Dichter, Gabriel S, Ding, Yan, Huyen Dinh, Doan, Ryan, Doddapaneni, HarshaVardhan, Eldred, Sara, Eng, Christine, Erickson, Craig A, Esler, Amy, Fatemi, Ali, Fischer, Gregory J, Fisk, Ian, Fombonne, Eric J, Fox, Emily A, Francis, Sunday, Friedman, Sandra L, Ganesan, Swami, Garrett, Michael, Gazestani, Vahid, Geisheker, Madeleine R, Gerdts, Jennifer A, Geschwind, Daniel H, GoinKochel, Robin P, Griswold, Anthony J, Grosvenor, Luke P, Gruber, Angela J, Gulsrud, Amanda C, Gunderson, Jaclyn, Gutierrez, Anibal, Hale, Melissa N, Haley, Monica, Hall, Jacob B, Hamer, Kira E, Han, Bing, Hanna, Nathan, Harkins, Christina, Harris, Nina, Hauf, Brenda, Hayes, Caitlin, Hepburn, Susan L, Herbert, Lynette M, Heyman, Michelle, Phillips, Brittani A, Horner, Susannah, Hu, Jianhong, HuangStorms, Lark Y, Hutter, Hanna, Istephanous, Dalia, Jacob, Suma, Jensen, William, Jones, Mark, Jordy, Michelle, Juarez, A Pablo, Kanne, Stephen, Kaplan, Hannah E, Kent, Matt, Kitaygorodsky, Alex, Koomar, Tanner, Korchina, Viktoriya, Krentz, Anthony D, Schneider, Hoa Lam, Lamarche, Elena, Landa, Rebecca J, Lash, Alex E, Law, J Kiely, Lawson, Noah, Layman, Kevin, Lechniak, Holly, Lee, Sandra, Lee, Soo J, Coury, Daniel Lee, Martin, Christa Lese, Li, Deana, Li, Hai, Lillie, Natasha, Liu, Xiuping, Lord, Catherine, Mallardi, Malcolm D, Manning, Patricia, Manoharan, Julie, Marini, Richard, Marzano, Gabriela, Mason, Andrew, Matthews, Emily T, McCracken, James T, McKenzie, Alexander P, Momin, Zeineen, Morrier, Michael J, Murali, Shwetha, Myers, Vincent J, Neely, Jason, Nessner, Caitlin, Nicholson, Amy, OBrien, Kaela, OConnor, Eirene, OchoaLubinoff, Cesar, Orobio, Jessica, Ousley, Opal Y, Pacheco, Lillian D, Pandey, Juhi, Paolicelli, Anna Marie, Pawlowski, Katherine G, Pierce, Karen L, Piven, Joseph, Plate, Samantha, Popp, Marc, Pramparo, Tiziano, Prock, Lisa M, Qi, Hongjian, Qiu, Shanping, Rachubinski, Angela L, Rajbhandari, Kshitij, Rana, Rishiraj, Remington, Rick, Rice, Catherine E, Rigby, Chris, Robertson, Beverly E, Roeder, Katherine, Rosenberg, Cordelia R, RussoPonsaran, Nicole, Ruzzo, Elizabeth, Sahin, Mustafa, Salomatov, Andrei, Sandhu, Sophia, Santangelo, Susan, Sarver, Dustin E, Scherr, Jessica, Schultz, Robert T, Schweers, Kathryn A, Shah, Swapnil, Shaikh, Tamim, Shocklee, Amanda D, Simon, Laura, Simon, Andrea R, Singh, Vini, Skinner, Steve, Smith, Kaitlin, Smith, Christopher J, Soorya, Latha, V, Soucy, Aubrie, Stephens, Alexandra N, Stock, Colleen M, Sutcliffe, James S, Swanson, Amy, Tafolla, Maira, Takahashi, Nicole, Thomas, Taylor, Thomas, Carrie, Thompson, Samantha, Tjernagel, Jennifer, Van Metre, Bonnie, VeenstraVanderweele, Jeremy, Vernoia, Brianna M, Wallace, Jermel, Walston, Corrie H, Wang, Jiayao, Warren, Zachary, Wasserburg, Lucy, White, Loran Casey, White, Sabrina, Wodka, Ericka L, Xu, Simon, Yang, Wha S, Yinger, Meredith, Yu, Timothy, Zang, Lan, Zaydens, Hana, Zhang, Haicang, Zhao, Haoquan, SPARK Consortium. Exome sequencing of 457 autism families recruited online provides evidence for autism risk genes. NPJ GENOMIC MEDICINE[J]. 2019, 4(1): http://dx.doi.org/10.1038/s41525-019-0093-8.
[13] Zhang, Haicang, Zhang, Qi, Ju, Fusong, Zhu, Jianwei, Gao, Yujuan, Xie, Ziwei, Deng, Minghua, Sun, Shiwei, Zheng, WeiMou, Bu, Dongbo. Predicting protein inter-residue contacts using composite likelihood maximization and deep learning. BMC BIOINFORMATICS[J]. 2019, 20(1): http://dx.doi.org/10.1186/s12859-019-3051-7.
[14] Chao Wang, Yi Wei, Haicang Zhang, Lupeng Kong, Shiwei Sun, WeiMou Zheng, Dongbo Bu. Constructing effective energy functions for protein structure prediction through broadening attraction-basin and reverse Monte Carlo sampling. BMC BIOINFORMATICS[J]. 2019, 20(S3): 99-108, https://doaj.org/article/6ed28e082ad847f19e2703f86cd71abd.
[15] Zhu, Jianwei, Zhang, Haicang, Li, Shuai Cheng, Wang, Chao, Kong, Lupeng, Sun, Shiwei, Zheng, WeiMou, Bu, Dongbo. Improving protein fold recognition by extracting fold-specific features from predicted residue-residue contacts. BIOINFORMATICS[J]. 2017, 33(23): 3749-3757, http://dx.doi.org/10.1093/bioinformatics/btx514.
[16] Gong, Haie, Zhang, Haicang, Zhu, Jianwei, Wang, Chao, Sun, Shiwei, Zheng, WeiMou, Bu, Dongbo. Improving prediction of burial state of residues by exploiting correlation among residues. BMC BIOINFORMATICS[J]. 2017, 18(Suppl 3): http://dx.doi.org/10.1186/s12859-017-1475-5.
[17] Zhang, Haicang, Gao, Yujuan, Deng, Minghua, Wang, Chao, Zhu, Jianwei, Li, Shuai Cheng, Zheng, WeiMou, Bu, Dongbo. Improving residue-residue contact prediction via low-rank and sparse decomposition of residue correlation matrix. BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS[J]. 2016, 472(1): 217-222, http://ir.itp.ac.cn/handle/311006/23180.
[18] Huang, Chunlin, Liu, Xingwu, Sun, Shiwei, Li, Shuai Cheng, Deng, Minghua, He, Guangxue, Zhang, Haicang, Wang, Chao, Zhou, Yang, Zhao, Yanlin, Bu, Dongbo. Insights into the transmission of respiratory infectious diseases through empirical human contact networks. SCIENTIFIC REPORTS[J]. 2016, 6: http://ir.itp.ac.cn/handle/311006/23184.
[19] Wang, Chao, Zhang, Haicang, Zheng, WeiMou, Xu, Dong, Zhu, Jianwei, Wang, Bing, Ning, Kang, Sun, Shiwei, Li, Shuai Cheng, Bu, Dongbo. FALCON@home: a high-throughput protein structure prediction server based on remote homologue recognition. BIOINFORMATICS[J]. 2016, 32(3): 462-464, http://ir.itp.ac.cn/handle/311006/23139.
[20] Nie, Lei, Liu, Jingjie, Zhang, Haicang, Xu, Zhiwei. On the inapproximability of minimizing cascading failures under the deterministic threshold model. INFORMATION PROCESSING LETTERS[J]. 2014, 114(1-2): 1-4, http://dx.doi.org/10.1016/j.ipl.2013.10.007.