Publication

Patents

  • Hao, J., and Fauss, M. Educational Testing Service (Pending). GPTCollider: Detecting AI-generated Texts from Mixed Human-written and AI-generated Essays in Writing Tests, Pending U.S. Patent (Registration No. 63/556,919)
  • Deane, P., Choi, Ikkyu, Hao, J., and Zhang, M. Educational Testing Service (2023). Behavior-based electronic essay assessment fraud detection. U.S. Patent 11,630,896. Washington, DC: U.S. Patent and Trademark Office.
  • Zhang, M., Hao, J., Deane, P. and Li, C., Educational Testing Service (2021). Defining personalized writing-burst translation measures using keystroke logs. U.S. Patent 11,195,431. Washington, DC: U.S. Patent and Trademark Office.
  • Zhang, M., Hao, J. and Deane, P., Educational Testing Service (2021). Generating scores and feedback for writing assessment and instruction using electronic process logs. U.S. Patent 10,964,224. Washington, DC: U.S. Patent and Trademark Office.
  • Deane, P., Feng, G., Zhang, M., Hao, J., Bergner, Y., Flor, M., …and Lederer, N. (2019). Generating Scores and Feedback for Writing Assessment and Instruction Using Electronic Process Logs, U.S. Patent No. 14/937,164, Washington, DC: U.S. Patent and Trademark Office.

Books

  • von Davier, A. A., Mislevy, R. J., & Hao, J. (Eds.). (2022). Computational psychometrics: New methodologies for a new generation of digital learning and assessment. Springer.

  • Hao, J., Liu, D., & Li, X. (Trans.). (2001). The meaning of relativity (A. Einstein). Shanghai Science and Technological Education Press. (Original work published 1922)

Papers

I have published over 100 peer-reviewed papers, with over 11,000 citations (h-index 47). For the most up-to-date and complete list of publications, please visit my Google Scholar profile.

  • von Davier, A. A., & Hao, J. (2026). Robert J. Mislevy and computational psychometrics. Educational Measurement: Issues and Practice, 45(3), e70024. https://doi.org/10.1111/emip.70024

  • Jiang, Y., Song, Y., Roll, I., Hao, J., Ruan, C., & Liu, L. (2026). Toward fair and scalable assessment of socially shared regulation of learning with large language models. In Artificial Intelligence in Education (pp. 194–209). Springer. https://doi.org/10.1007/978-3-032-29773-0_15

  • Hao, J., Cui, W., Kyllonen, P., & Kerzabi, E. (2026). Automated coding of communication data using LLM: Consistency across subgroups. Journal of Educational Measurement, 63(2), e70049. https://doi.org/10.1111/jedm.70049

  • Cui, W., Hao, J., Jiang, Y., Kyllonen, P. C., & Kerzabi, E. (2026). Automated coding of communication data using large language models: A comparison of hierarchical and direct prompting strategies. Frontiers in Education, 11, 1764154.

  • Zhong, Y., Hao, J., Fauss, M., Li, C., & Wang, Y. (2026). AI-generated essays: Characteristics and implications on automated scoring and academic integrity. Educational Measurement: Issues and Practice, 45(1), e70013.

  • Hao, J. (2026). Detecting AI-generated essays in writing assessment: Responsible use and generalizability across LLMs. In Artificial Intelligence Applications in Educational Learning and Assessment.

  • Deane, P., Zhang, M., Hao, J., & Li, C. (2026). Using keystroke dynamics to detect nonoriginal text. Journal of Educational Measurement, 63(1), e12431. https://doi.org/10.1111/jedm.12431

  • Guo, E., Kerzabi, E., Andrews-Todd, J., Hao, J., & Kyllonen, P. (2026). Designing digital enhancements for social emotional skill in a collaborative learning environment. Proceeding of International Conference on Computer Supported Collaborative Learning (CSCL2026).

  • Hao, J., Kyllonen, P., Kerzabi, E., Cui, W., Guo, E., Andrews-Todd, J., Jiang, Y., & Elliott, S. (2026). Leveraging CSCL for social emotional learning: Early insights from a large-scale classroom study. Proceeding of International Conference on Computer Supported Collaborative Learning (CSCL2026). EdArXiv: https://osf.io/preprints/edarxiv/9cbe2_v1

  • Hao, J. (2025). Mentor, collaborator, and role model. In M. E. Oliveri, E. M. Tucker, S. L. Gómez, D. Slomp, & N. Elliot (Eds.), Reminiscences: Reflections on the life of Robert J. Mislevy (The Journal of Writing Analytics, Vol. 8, pp. 34–36). https://doi.org/10.37514/JWA-J.2025.8.1.06

  • Hao, J., Cui, W., Kyllonen, P., Kerzabi, E., Liu, L., & Flor, M. (2025). Automated Coding of Communications in Collaborative Problem-Solving Tasks Using ChatGPT. Journal of Educational Measurement, 62(4), 809-837.

  • Jiang, Y., Hao, J., Cui, W., Kerzabi, E., & Kyllonen, P. (2025). Uncovering transferable collaboration patterns across tasks using large language models. In Artificial Intelligence in Education (pp. 320–335). Springer Nature Switzerland.

  • Jiang, Y., Klebanov, B. B., Hao, J., Deane, P., & Livne, O. E. (2025). Unveiling patterns of interaction with automated feedback in Writing Mentor and their relationships with use goals and writing outcomes. Journal of Computer Assisted Learning, 41(2), e70014.

  • Baizhanov, N., Abdrasilov, B., Hao, J., & Makhmutova, A. (2025). Harnessing the potential of AI technologies in the national educational assessments in Kazakhstan. Pedagogy and Psychology, 65(4), 5–13.

  • Hao, J. (2025). AI for educational assessment: Opportunities and challenges through the lens of evidence-centered design and measurement values. In AI and VR for Higher Education.

  • Hao, J., von Davier, A. A., Yaneva, V., Lottridge, S., von Davier, M., & Harris, D. J. (2024). Transforming assessment: The impacts and implications of large language models and generative AI. Educational Measurement: Issues and Practice, 43(2), 16–29.

  • Jiang, Y., Hao, J., Fauss, M., & Li, C. (2024). Detecting ChatGPT-generated essays in a large-scale writing assessment: Is there a bias against non-native English speakers? Computers & Education, 217, 105070.

  • Jiang, Y., Zhang, M., Hao, J., Deane, P., & Li, C. (2024). Using keystroke behavior patterns to detect nonauthentic texts in writing assessments: Evaluating the fairness of predictive models. Journal of Educational Measurement, 61(4), 571–594.

  • Zhu, M., Su, C., Hao, J., Liu, L., Kyllonen, P., & von Davier, A. (2024). Who benefits from virtual collaboration? The interplay of team member expertness and Big Five personality traits. Humanities and Social Sciences Communications, 11(1), 1–15.

  • Choi, I., Hao, J., Li, C., Fauss, M., & Novák, J. (2024). AutoESD: An automated system for detecting non-authentic texts for high-stakes writing tests (Research Report No. RR-24-11). Educational Testing Service.

  • Jiang, Y., Hao, J., Fauss, M., & Li, C. (2024). Towards fair detection of AI-generated essays in large-scale writing assessments. In International Conference on Artificial Intelligence in Education (pp. 317–324). Springer.

  • Hao, J., & Fauss, M. (2024). Test security in remote testing age: Perspectives from process data analytics and AI. In Machine Learning, Natural Language Processing, and Psychometrics. Information Age Publishing.

  • Castellano, K. E., Sinharay, S., Hao, J., & Li, C. (2023). An investigation into the impact of test session disruptions for at-home test administrations. Applied Psychological Measurement, 47(1), 76–82.

  • Jiang, Y., Martín-Raugh, M., Yang, Z., Hao, J., Liu, L., & Kyllonen, P. C. (2023). Do you know your partner’s personality through virtual collaboration or negotiation? Investigating perceptions of personality and their impacts on performance. Computers in Human Behavior, 141, 107608.

  • Yan, D., Fauss, M., Hao, J., & Cui, W. (2023). Detection of AI-generated essays in writing assessments. Psychological Test and Assessment Modeling, 65(1), 125–144.

  • Zu, J., Choi, I., & Hao, J. (2023). Automated distractor generation for fill-in-the-blank items using a prompt-based learning approach. Psychological Test and Assessment Modeling, 65(2), 55–75.

  • Jiang, Y., Klebanov, B. B., Livne, O. E., & Hao, J. (2023). Analyzing users’ interaction with writing feedback and their effects on writing. In Artificial Intelligence in Education. Posters and Late Breaking Results (pp. 466–471). Springer.

  • von Davier, A. A., Mislevy, R. J., & Hao, J. (Eds.). (2022). Computational psychometrics: New methodologies for a new generation of digital learning and assessment. Springer Nature.

  • Hao, J., & Mislevy, R. J. (2022). A data science perspective on computational psychometrics. In A. A. von Davier, R. J. Mislevy, & J. Hao (Eds.), Computational Psychometrics (pp. 133–158). Springer.

  • Hao, J. (2022). Supervised machine learning. In A. A. von Davier, R. J. Mislevy, & J. Hao (Eds.), Computational Psychometrics (pp. 159–171). Springer.

  • Flor, M., & Hao, J. (2022). Text mining and automated scoring. In A. A. von Davier, R. J. Mislevy, & J. Hao (Eds.), Computational Psychometrics (pp. 245–262). Springer.

  • Rosen, Y., Stoeffler, K., Simmering, V., Hao, J., & von Davier, A. (2021). Development of scalable assessment for collaborative problem-solving. In International Handbook of Computer-Supported Collaborative Learning (pp. 517–532). Springer.

  • Choi, I., Hao, J., Deane, P., & Zhang, M. (2021). Benchmark keystroke biometrics accuracy from high-stakes writing tasks (Research Report No. RR-21-06). Educational Testing Service.

  • Lee, Y. H., Hao, J., Man, K., & Ou, L. (2021). How do test takers interact with simulation-based tasks? Frontiers in Psychology, 12, 660203.

  • Martin-Raugh, M. P., Kyllonen, P. C., Hao, J., et al. (2020). Negotiation as an interpersonal skill: Generalizability of negotiation outcomes and tactics across contexts. Computers in Human Behavior, 104, 105966.

  • Hao, J., & Ho, T. K. (2019). Machine learning made easy: A review of scikit-learn package in Python programming language. Journal of Educational and Behavioral Statistics, 44(3), 348–361.

  • Hao, J., & Mislevy, R. J. (2019). Characterizing interactive communications in computer-supported collaborative problem-solving tasks: A conditional transition profile approach. Frontiers in Psychology, 10, 1011.

  • Hao, J., Liu, L., Kyllonen, P., Flor, M., & von Davier, A. A. (2019). Psychometric considerations and a general scoring strategy for assessments of collaborative problem solving (Research Report No. RR-19-10). Educational Testing Service.

  • 郝建纲, & 何祺玮. (2019). 合作解决问题能力测评及其实践. 中国考试, (9), 11–21.

  • Hao, J., & Mislevy, R. J. (2018). The evidence trace file: A data structure for virtual performance assessments informed by data analytics and evidence-centered design (Research Report No. RR-18-12). Educational Testing Service.

  • Hao, J., Zapata-Rivera, D., Graesser, A. C., et al. (2018). Towards an intelligent tutor for teamwork: Responding to human sentiments. Design Recommendations for Intelligent Tutoring Systems, 6, 151–160.

  • von Davier, A. A., Hao, J., Liu, L., & Kyllonen, P. (2017). Interdisciplinary research agenda in support of assessment of collaborative problem solving. Computers in Human Behavior, 76, 631–640.

  • Andrews, J. J., Kerr, D., Mislevy, R. J., von Davier, A., Hao, J., & Liu, L. (2017). Modeling collaborative interaction patterns in a simulation-based task. Journal of Educational Measurement, 54(1), 54–69.

  • Halpin, P. F., von Davier, A. A., Hao, J., & Liu, L. (2017). Measuring student engagement during collaboration. Journal of Educational Measurement, 54(1), 70–84.

  • Hao, J., Liu, L., von Davier, A. A., et al. (2017). EPCAL: ETS platform for collaborative assessment and learning (Research Report No. RR-17-06). Educational Testing Service.

  • Hao, J., Chen, L., Flor, M., Liu, L., & von Davier, A. A. (2017). CPS-Rater: Automated sequential annotation for conversations in collaborative problem-solving activities (Research Report No. RR-17-07). Educational Testing Service.

  • Hao, J., Smith, L., Mislevy, R., von Davier, A., & Bauer, M. (2016). Taming log files from game/simulation-based assessments: Data models and data analysis tools (Research Report No. RR-16-10). Educational Testing Service.

  • Zhang, M., Hao, J., Li, C., & Deane, P. (2016). Classification of writing patterns using keystroke logs. Quantitative Psychology Research, 299–314.

  • Flor, M., Yoon, S. Y., Hao, J., Liu, L., & von Davier, A. (2016). Automated classification of collaborative problem solving interactions in simulated science tasks. Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications, 31–41.

  • Hao, J., Shu, Z., & von Davier, A. (2015). Analyzing process data from game/scenario-based tasks: An edit distance approach. Journal of Educational Data Mining, 7(1), 33–50.

  • Mislevy, R. J., Oranje, A., Bauer, M. I., von Davier, A. A., & Hao, J. (2014). Psychometric considerations in game-based assessment. GlassLabGames.

  • Bechtol, K., Drlica-Wagner, A., Balbinot, E., Pieres, A., Simon, J. D., Yanny, B., Santiago, B., Wechsler, R. H., Frieman, J., Walker, A. R., & others. (2015). Eight new Milky Way companions discovered in first-year Dark Energy Survey data. The Astrophysical Journal, 807(1), 50.

  • Durret, F., Adami, C., Bertin, E., Hao, J., Márquez, I., Martinet, N., Maurogordato, S., Sauvaget, T., Scepi, N., Takey, A., & others. (2015). Galaxy clusters in the SDSS Stripe 82 based on photometric redshifts. Astronomy & Astrophysics, 578, A79.

  • Flaugher, B., Diehl, H. T., Honscheid, K., Abbott, T. M. C., Alvarez, O., Angstadt, R., Annis, J. T., Antonik, M., Ballester, O., Beaufore, L., & others. (2015). The dark energy camera. The Astronomical Journal, 150(5), 150.

  • Hao, J., & Li, X. Z. (2015). 暗能量巡天观测 [Dark energy survey observation]. 科学 [Science], 67(4), 14-18.

  • Annis, J., Soares-Santos, M., Strauss, M. A., Becker, A. C., Dodelson, S., Fan, X., Gunn, J. E., Hao, J., Ivezić, Ž., Jester, S., & others. (2014). The Sloan Digital Sky Survey coadd: 275 deg2 of deep Sloan Digital Sky Survey imaging on Stripe 82. The Astrophysical Journal, 794(2), 120.

  • Diehl, H. T., Abbott, T. M. C., Annis, J., Armstrong, R., Baruah, L., Bermeo, A., Bernstein, G., Beynon, E., Bruderer, C., Buckley-Geer, E. J., & others. (2014). The dark energy survey and operations: Year 1. In Observatory Operations: Strategies, Processes, and Systems V (Vol. 9149, pp. 332-346). SPIE.

  • Dietrich, J. P., Zhang, Y., Song, J., Davis, C. P., McKay, T. A., Baruah, L., Becker, M., Benoist, C., Busha, M., da Costa, L. A. N., & others. (2014). Orientation bias of optically selected galaxy clusters and its impact on stacked weak-lensing analyses. Monthly Notices of the Royal Astronomical Society, 443(2), 1713-1722.

  • Rykoff, E. S., Rozo, E., Busha, M. T., Cunha, C. E., Finoguenov, A., Evrard, A., Hao, J., Koester, B. P., Leauthaud, A., Nord, B., & others. (2014). redmapper. i. algorithm and sdss dr8 catalog. The Astrophysical Journal, 785(2), 104.

  • Furlanetto, C., Santiago, B. X., Makler, M., Cypriano, E. S., Caminha, G. B., Pereira, M. E. S., Neto, A. F., Estrada, J., Lin, H., Hao, J., & others. (2013). The SOAR Gravitational Arc Survey–I. Survey overview and photometric catalogues. Monthly Notices of the Royal Astronomical Society, 432(1), 73-88.

  • Abbott, T., Abdalla, F., Achitouv, I., Ahn, E., Aldering, G., Allam, S., Alonso, D., Amara, A., Annis, J., Antonik, M., & others. (2012). First SN discoveries from the Dark Energy Survey. The Astronomer’s Telegram, 4668, 1.

  • Draper, P., Dodelson, S., Hao, J., & Rozo, E. (2012). Sunyaev-Zel’dovich signal of the maxBCG SDSS galaxy clusters in WMAP. Physical Review D, 85(2), 023005.

  • Lin, H., Dodelson, S., Seo, H. J., Soares-Santos, M., Annis, J., Hao, J., Johnston, D., Kubo, J. M., Reis, R. R. R., & Simet, M. (2012). The SDSS co-add: cosmic shear measurement. The Astrophysical Journal, 761(1), 15.

  • Reis, R. R. R., Soares-Santos, M., Annis, J., Dodelson, S., Hao, J., Johnston, D., Kubo, J., Lin, H., Seo, H. J., & Simet, M. (2012). The sloan digital sky survey co-add: A galaxy photometric redshift catalog. The Astrophysical Journal, 747(1), 59.

  • Rykoff, E. S., Koester, B. P., Rozo, E., Annis, J., Evrard, A. E., Hansen, S. M., Hao, J., Johnston, D. E., McKay, T. A., & Wechsler, R. H. (2012). Robust optical richness estimation with reduced scatter. The Astrophysical Journal, 746(2), 178.

  • Simet, M., Kubo, J. M., Dodelson, S., Annis, J. T., Hao, J., Johnston, D., Lin, H., Reis, R. R. R., Soares-Santos, M., & Seo, H. J. (2012). The Sloan Digital Sky Survey Co-add: Cross-correlation Weak Lensing and Tomography of Galaxy Clusters. The Astrophysical Journal, 748(2), 128.

  • Soares-Santos, M., Annis, J., Bonati, M., Buckley-Geer, E., Cease, H., DePoy, D., Derylo, G., Diehl, H. T., Elliott, A., Estrada, J., & others. (2012). DECam integration tests on telescope simulator. Physics Procedia, 37, 1445-1452.

  • Zitrin, A., Broadhurst, T., Bartelmann, M., Rephaeli, Y., Oguri, M., Benitez, N., Hao, J., & Umetsu, K. (2012). The universal Einstein radius distribution from 10 000 SDSS clusters. Monthly Notices of the Royal Astronomical Society, 423(3), 2308-2324.

  • Hao, J., Kubo, J. M., Feldmann, R., Annis, J., Johnston, D. E., Lin, H., & McKay, T. A. (2011). Intrinsic alignment of cluster galaxies: the redshift evolution. The Astrophysical Journal, 740(1), 39.

  • Gerdes, D. W., Sypniewski, A. J., McKay, T. A., Hao, J., Weis, M. R., Wechsler, R. H., & Busha, M. T. (2010). ArborZ: Photometric redshifts using boosted decision trees. The Astrophysical Journal, 715(2), 823.

  • Hao, J., Annis, J., Estrada, J., Cease, H., Diehl, H. T., Flaugher, B. L., Kubik, D., Kuk, K., Kuropatkine, N., Lin, H., & others. (2010). Measuring the flatness of focal plane for very large mosaic CCD camera. In Ground-based and Airborne Instrumentation for Astronomy III (Vol. 7735, pp. 1467-1476). SPIE.

  • Hao, J., McKay, T. A., Koester, B. P., Rykoff, E. S., Rozo, E., Annis, J., Wechsler, R. H., Evrard, A., Siegel, S. R., Becker, M., & others. (2010). A GMBCG galaxy cluster catalog of 55,424 rich clusters from SDSS DR7. The Astrophysical Journal Supplement Series, 191(2), 254.

  • Kubo, J. M., Allam, S. S., Drabek, E., Lin, H., Tucker, D., Buckley-Geer, E. J., Diehl, H. T., Soares-Santos, M., Hao, J., Wiesner, M., & others. (2010). The Sloan Bright Arcs Survey: discovery of seven new strongly lensed galaxies from z= 0.66–2.94. The Astrophysical Journal Letters, 724(2), L137.

  • Kubik, D., Alvarez, R., Abbott, T., Annis, J., Bonati, M., Buckley-Geer, E., Campa, J., Cease, H., Chappa, S., DePoy, D., & others. (2010). Automated characterization of CCD detectors for DECam. In Ground-based and Airborne Instrumentation for Astronomy III (Vol. 7735, pp. 1989-2005). SPIE.

  • Diehl, H. T., Abbott, T. M. C., Bailey, J., Bonati, M., Bremer, G., Briones, J., Buckley-Geer, E. J., Cease, H., Chi, E. C., Depoy, D. L., & others. (2010). Testing the Dark Energy Camera on a telescope simulator. In Ground-based and Airborne Instrumentation for Astronomy III (Vol. 7735, pp. 1379-1388). SPIE.

  • Estrada, J., Alvarez, R., Abbott, T., Annis, J., Bonati, M., Buckley-Geer, E., Campa, J., Cease, H., Chappa, S., DePoy, D., & others. (2010). Focal plane detectors for dark energy camera (DECam). In Ground-based and Airborne Instrumentation for Astronomy III (Vol. 7735, pp. 709-719). SPIE.

  • Hao, J. (2009). Optical galaxy cluster detection across a wide redshift range (Doctoral dissertation). University of Michigan.

  • Hao, J., & Akhoury, R. (2009). A possible late time $\Lambda$CDM-like background cosmology in relativistic MOND theory. International Journal of Modern Physics D, 18(06), 1039-1048.

  • Hao, J., Koester, B. P., Mckay, T. A., Rykoff, E. S., Rozo, E., Evrard, A., Annis, J., Becker, M., Busha, M., Gerdes, D., & others. (2009). Precision measurements of the cluster red sequence using an error-corrected gaussian mixture model. The Astrophysical Journal, 702(1), 745.

  • Rozo, E., Rykoff, E. S., Evrard, A., Becker, M., McKay, T., Wechsler, R. H., Koester, B. P., Hao, J., Hansen, S., Sheldon, E., & others. (2009a). Constraining the scatter in the mass–richness relation of maxBCG clusters with weak lensing and X-ray data. The Astrophysical Journal, 699(1), 768.

  • Rozo, E., Rykoff, E. S., Koester, B. P., McKay, T., Hao, J., Evrard, A., Wechsler, R. H., Hansen, S., Sheldon, E., Johnston, D., & others. (2009b). Improvement of the richness estimates of maxBCG clusters. The Astrophysical Journal, 703(1), 601.

  • Rozo, E., Wechsler, R. H., Rykoff, E. S., Annis, J. T., Becker, M. R., Evrard, A. E., Frieman, J. A., Hansen, S. M., Hao, J., Johnston, D. E., & others. (2009c). Cosmological constraints from the Sloan Digital Sky Survey maxBCG cluster catalog. The Astrophysical Journal, 708(1), 645.

  • Liu, D. J., Li, X. Z., Hao, J., & Jin, X. H. (2008). Revisiting the parametrization of equation of state of dark energy via SNIa data. Monthly Notices of the Royal Astronomical Society, 388(1), 275-281.

  • Hao, J., & Li, X. Z. (2005). Phantom-like GCG and the constraints of its parameters via cosmological dynamics. Physics Letters B, 606(1-2), 7-11.

  • Hao, J., & Li, X. Z. (2004a). Cosmological dynamics of scalar fields with O (N) symmetry. Classical and Quantum Gravity, 21(21), 4771.

  • Hao, J., & Li, X. Z. (2004b). Phantom cosmic dynamics: Tracking attractor and cosmic doomsday. Physical Review D, 70(10), 43529.

  • Jian-Gang, H., Xing-Hua, J., Ji, K., & Xin-Zhou, L. (2004). An Analytical Inflation Model with Born–Infeld Type Scalar Field. Chinese Physics Letters, 21(3), 592-594.

  • Li, X. Z., & Hao, J. (2004a). Phantom field with O (N) symmetry in an exponential potential. Physical Review D, 69(10), 107303.

  • Li, X. Z., Liu, D. J., & Hao, J. (2004b). 快子暴涨 (英文) [Tachyon inflation]. 上海师范大学学报: 自然科学版 [Journal of Shanghai Normal University: Natural Science Edition], 33(4), 29-34.

  • Hao, J., & Li, X. Z. (2003a). Attractor solution of phantom field. Physical Review D, 67(10), 107303.

  • Hao, J., & Li, X. Z. (2003b). Constructing dark energy models with a late time de Sitter attractor. Physical Review D, 68(8), 083514.

  • Hao, J., & Li, X. Z. (2003c). Features of motion around global monopole in asymptotically dS/AdS spacetime. Classical and Quantum Gravity, 20(9), 1703.

  • Hao, J., & Li, X. Z. (2003d). Phantom with born-infeld-type lagrangian. Physical Review D, 68(4), 043501.

  • Li, X. Z., & Hao, J. (2003a). Kantowski-Sachs universe cannot be closed. Physical Review D, 68(8), 083512.

  • Li, X. Z., Hao, J., Liu, D. J., & Zhai, X. H. (2003b). On the quintessence with Abelian and non-Abelian symmetry. International Journal of Modern Physics A, 18(32), 5921-5930.

  • Xin-Zhou, L., Dao-Jun, L., & Jian-Gang, H. (2003). A new exactly solvable inflation model and its power spectrum. Chinese Physics Letters, 20(2), 192.

  • Hao, J., & Li, X. Z. (2002). Reconstructing the equation of state of the tachyon. Physical Review D, 66(8), 087301.

  • Li, X. Z., Hao, J., & Liu, D. J. (2002a). Quintessence with O (N) symmetry. Classical and Quantum Gravity, 19, 6049.

  • Li, X. Z., Liu, D. J., & Hao, J. (2002b). Charged D stars. Science in China Series A: Mathematics, 45(4), 520-527.

  • Xin-Zhou, L., Jian-Gang, H., & Dao-Jun, L. (2002c). Can quintessence be the rolling tachyon?. Chinese Physics Letters, 19(11), 1584.

  • Li, X. Z., Hao, J., Liu, D. J., & Chen, G. (2001a). Gauged Q ball in a piecewise parabolic potential. Journal of Physics A: Mathematical and General, 34(7), 1459.

  • Li, X. Z., Hao, J., & Liu, D. J. (2001b). Quasinormal modes of stringy black holes. Physics Letters B, 507(1-4), 312-316.

  • 李新洲, 袁宁一, 刘道军, & 郝建纲. (2000). 广义 Schwarzschild 几何的引力微扰 [Gravitational perturbations of generalized Schwarzschild geometry]. 物理学报 [Acta Physica Sinica], 49(6), 1031.