Beijing Institute of Mathematical Sciences and Applications

• 2024 -      Beijing Institute of Mathematical Sciences and Applications      Professor
• 2012 - 2024      Baidu / Baidu Research      Senior Engineer/Senior Research Scientist/ Principal Research Scientist
• 2011 - 2012      Tencent      Data Scientist
• 2007 - 2011      Nanjing University of Science and Technology      Lecturer/ Postdoctoral ResearcherNanjing University of Science and Technology

• 2023      the World Internet Conference Award for Pioneering Science and Technology
• 2023      Baidu Pride Special Award
• 2014      Baidu Supreme Award

• [1] Z Xie, Z He, N Lu, L Bai, B Li, S Yang, M Sun, P Li, Learning from Ambiguous Data with Hard Labels, arXiv preprint arXiv:2501.01844 (2025)
• [2] M Peng, M Sun, Y Shi, DETERMINING THE SIMILARITY OF TEXT PROCESSING TASKS, US Patent App. 18/749,479 (2024)
• [3] Liangying Shao, Liang Zhang, Minlong Peng, Guoqi Ma, Hao Yue, Mingming Sun, Jinsong Su, ONE2SET + Large Language Model: Best Partners for Keyphrase Generation, Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 11140–11153 (2024)
• [4] Yang Liu, Huang Fang, Yunfeng Cai, Mingming Sun , MQuinE: a Cure for “Z-paradox” in Knowledge Graph Embedding, , 9837-9850 (2024)
• [5] L Shao, L Zhang, M Peng, G Ma, H Yue, M Sun, J Su, One2set+ Large Language Model: Best Partners for Keyphrase Generation, arXiv preprint arXiv:2410.03421 (2024)
• [6] FAN Miao, YU Jinxing, DOU Zehao, M Sun, P Li, H Wang, Information search method, device, apparatus and computer-readable medium, US Patent 11,977,589 (2024)
• [7] X Li, CAI Yunfeng, M Sun, P Li, Method for discovering causality from data, electronic device and storage medium, US Patent 11,947,552 (2024)
• [8] Z Yu, H Wang, J Yang, H Wang, Z Xie, Y Cai, J Cao, Z Ji, M Sun, Sgd: Street view synthesis with gaussian splatting and diffusion prior, arXiv preprint arXiv:2403.20079 (2024)
• [9] Xindi Yang, Zeke Xie, Xiong Zhou, Boyu Liu, Buhua Liu, Yi Liu, Haoran Wang, Yunfeng Cai, Mingming Sun, Neural Field Classifiers via Target Encoding and Classification Loss, arXiv preprint arXiv:2403.01058 (2024)
• [10] M Peng, M Sun, P Li, Method for selecting annotated sample, apparatus, electronic device and storage medium, US Patent 11,907,668 (2024)
• [11] Y Liu, H Fang, Y Cai, M Sun, MQuinE: a cure for" Z-paradox" in knowledge graph embedding models, arXiv preprint arXiv:2402.03583 (2024)
• [12] H Wang, H Wang, J Yang, Z Yu, Z Xie, L Tian, X Xiao, J Jiang, X Liu et al., HiCAST: highly customized arbitrary style transfer with adapter enhanced diffusion models, arXiv preprint arXiv:2401.05870 (2024)
• [13] Jinze Yang, Haoran Wang, Zining Zhu, Chenglong Liu, Meng Wu & Mingming Sun , VIP: Versatile Image Outpainting Empowered by Multimodal Large Language Model, , 15476, 1082-1099 (2024)
• [14] Shengyuan Chen, Yunfeng Cai, Huang Fang, and Mingming Sun, Differentiable neuro-symbolic reasoning on large-scale knowledge graphs, Advances in Neural Information Processing Systems, 36, 28139-28154 (2023)
• [15] Zeke Xie, Qian-Yuan Tang, Mingming Sun, and Ping Li, On the overlooked structure of stochastic gradients, Advances in Neural Information Processing Systems, 36, 66257-66276 (2023)
• [16] Lyn Qiu, Xu Li, Mingming Sun, Junchi Yan, Conditional Variational Inference for Multi-modal Trajectory Prediction with Latent Diffusion Prior, , 15-22 (2023)
• [17] Lyn Qiu, Xu Li, Lenghan Liang, Mingming Sun, Junchi Yan, Adaptable Conservative-Learning for Offline Reinforcement Learning, 200-212 (2023)
• [18] FAN Miao, M Sun, P Li, H Wang, Method and device for evaluating comment quality, and computer readable storage medium, US Patent 11,756,094 (2023)
• [19] M Peng, M Sun, P Li, Sentiment parsing method, electronic device, and storage medium, US Patent App. 17/942,116 (2023)
• [20] YU Jinxing, M Peng, M Sun, P Li, Entity linking method, electronic device, and storage medium, US Patent App. 17/940,059 (2023)
• [21] S Wu, M Peng, Y Chen, J Su, M Sun, Eva-kellm: A new benchmark for evaluating knowledge editing of llms, arXiv preprint arXiv:2308.09954 (2023)
• [22] Minlong Peng, and Mingming Sun, NormNet: Normalize Noun Phrases for More Robust NLP, , 2171-2183 (2023)
• [23] Zhiheng Xi, Rui Zheng, Yuansen Zhang, Xuanjing Huang, Zhongyu Wei, Minlong Peng, Mingming Sun, Qi Zhang, and Tao Gui, Connectivity patterns are task embeddings, , 11993-12013 (2023)
• [24] Ye Ma, Mingming Sun, and Ping Li, A Semi-Autoregressive Graph Generative Model for Dependency Graph Parsing, arXiv preprint arXiv:2306.12018, 4218-4230 (2023)
• [25] Jun Zhao, Yongxin Zhang, Qi Zhang, Tao Gui, Zhongyu Wei, Minlong Peng, and Mingming Sun, Actively supervised clustering for open relation extraction, arXiv preprint arXiv:2306.04968, 4985-4997 (2023)
• [26] Jun Zhao, WenYu Zhan, Xin Zhao, Qi Zhang, Tao Gui, Zhongyu Wei, Junzhe Wang, Minlong Peng, and Mingming Sun, Re-matching: A fine-grained semantic matching method for zero-shot relation extraction, arXiv preprint arXiv:2306.04954, 6680-6691 (2023)
• [27] Huang Fang, Yang Liu, Yunfeng Cai, and Mingming Sun, Mln4kb: an efficient markov logic network engine for large-scale knowledge bases and structured logic rules, , 2423-2432 (2023)
• [28] Z Han, Y Feng, M Sun, A graph-guided reasoning approach for open-ended commonsense question answering, arXiv preprint arXiv:2303.10395 (2023)
• [29] Hanyu Peng, Weiguo Pian, Mingming Sun, and Ping Li, Dynamic re-weighting for long-tailed semi-supervised learning, , 6464-6474 (2023)
• [30] Zeke Xie, Xindi Yang, Yujie Yang, Qi Sun, Yixiang Jiang, Haoran Wang, Yunfeng Cai, and Mingming Sun, S3im: Stochastic structural similarity and its unreasonable effectiveness for neural fields, , 18024-18034 (2023)
• [31] M Peng, X Li, M Sun, Efficient and Stealthy Backdoor Attack Triggers are Close at Hand, (2023)
• [32] FAN Miao, YE Sen, C Feng, M Sun, P Li, H Wang, Method and apparatus for generating information assessment model, US Patent 11,521,016 (2022)
• [33] FAN Miao, YE Sen, M Sun, P Li, H Wang, Method, apparatus, computer device and readable medium for knowledge hierarchical extraction of a text, US Patent 11,514,247 (2022)
• [34] Faysal Hossain Shezan, Yingjie Lao, Minlong Peng, Xin Wang, Mingming Sun, and Ping Li, NL2GDPR: Automatically develop GDPR compliant Android application features from natural language, , 1-9 (2022)
• [35] Tairan Huang, Xu Li, Hao Li, Mingming Sun, and Ping Li, CGAR: Critic Guided Action Redistribution in Reinforcement Leaning, , 496-499 (2022)
• [36] FAN Miao, Y Feng, C Feng, M Sun, P Li, H Wang, Method, apparatus, device and storage medium for evaluating quality of answer, US Patent 11,409,964 (2022)
• [37] FAN Miao, Y Feng, M Sun, P Li, H Wang, Method, apparatus for evaluating review, device and storage medium, US Patent 11,403,680 (2022)
• [38] Hao Li, Xu Li, Belhal Karimi, Jie Chen, and Mingming Sun, Joint learning of object graph and relation graph for visual question answering, , 01-06 (2022)
• [39] Yue Feng, Zhen Han, Mingming Sun, and Ping Li, Multi-hop open-domain question answering over structured and unstructured knowledge, , 151-156 (2022)
• [40] Jiaheng Liu, Tan Yu, Hanyu Peng, Mingming Sun, and Ping Li, Cross-lingual cross-modal consolidation for effective multilingual video corpus moment retrieval, , 1854-1862 (2022)
• [41] Jinxing Yu, Yunfeng Cai, Mingming Sun, and Ping Li, Spacee: Knowledge graph embedding by relational linear transformation in the entity space, , 64-72 (2022)
• [42] Xin Wang, Minlong Peng, Mingming Sun, and Ping Li, Oie@oia: an adaptable and efficient open information extraction framework, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL ’22), Dublin, Ireland, May 22-27, 2022(2022), 6213-6226
• [43] Shuo Yang, Zeke Xie, Hanyu Peng, Min Xu, Mingming Sun, and Ping Li, Dataset pruning: Reducing training data by examining generalization influence, arXiv preprint arXiv:2205.09329 (2022)
• [44] Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, and Ping Li, $S^2$-MLP: Spatial-Shift MLP Architecture for Vision, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, USA, 2022(2022), 297-306
• [45] X Wang, M Peng, M Sun, P Li, OIE@ OIA: an adaptable and efficient open information extraction framework, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 6213-6226 (2022)
• [46] M Sun, P Li, Method, apparatus and device for extracting information, US Patent 11,288,593 (2022)
• [47] M Peng, Z Xiong, M Sun, P Li, Label-smoothed backdoor attack, arXiv e-prints, arXiv: 2202.11203, arXiv: 2202.11203 (2022)
• [48] Z Xie, QY Tang, Y Cai, M Sun, P Li, On the power-law hessian spectrums in deep learning, arXiv preprint arXiv:2201.13011 (2022)
• [49] Hanyu Peng, Mingming Sun, and Ping Li, Optimal transport for long-tailed recognition with learnable cost matrix, (2022)
• [50] Yue Zhang, Mingming Sun, Jingyuan Zhang, and Ping Li, Explainable Concept Graph Completion by Bridging Open-Domain Relations and Concepts, , 675-683 (2022)
• [51] T Yu, X Li, Y Cai, M Sun, P Li, S2-mlp: Spatial-shift mlp architecture for vision, Proceedings of the IEEE/CVF winter conference on applications of computer vision, 297-306 (2022)
• [52] Z Xie, QY Tang, Y Cai, M Sun, P Li, On the power-law spectrum in deep learning: A bridge to protein science, arXiv preprint arXiv:2201.13011, 2 (2022)
• [53] Z Xie, QY Tang, Z He, M Sun, P Li, Rethinking the structure of stochastic gradients: Empirical and statistical evidence, (2022)
• [54] Shaogang Ren, Haiyan Yin, Mingming Sun, and Ping Li, Causal discovery with flow-based conditional density estimation, , 1300-1305 (2021)
• [55] Xin Wang, Peng Yang, Shaopeng Chen, Lin Liu, Lian Zhao, Jiacheng Guo, Mingming Sun, and Ping Li, Efficient learning to learn a robust CTR model for web-scale online sponsored search advertising, , 4203-4213 (2021)
• [56] Tan Yu, Yi Yang, Yi Li, Lin Liu, Mingming Sun, and Ping Li, Multi-modal dictionary bert for cross-modal video search in baidu advertising, , 4341-4351 (2021)
• [57] T Yu, X Li, Y Cai, M Sun, P Li, S$^2$-MLPv2: Improved Spatial-Shift MLP Architecture for Vision, arXiv preprint arXiv:2108.01072 (2021)
• [58] Yue Feng, Zhaochun Ren, Weijie Zhao, Mingming Sun, and Ping Li, Multi-type textual reasoning for product-aware answer generation, , 1135-1145 (2021)
• [59] FAN Miao, DOU Zehao, M Sun, P Li, H Wang, Method and device for information retrieval, device and computer readable storage medium, US Patent 11,055,374 (2021)
• [60] Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, and Ping Li, Rethinking token-mixing MLP for MLP-based vision backbone, arXiv preprint arXiv:2106.14882 (2021)
• [61] Jinxing Yu, Yunfeng Cai, Mingming Sun, and Ping Li, Mquade: a unified model for knowledge fact embedding, , 3442-3452 (2021)
• [62] P Li, M Sun, X Wang, Y Feng, K Meng, Q Gang, W Qiaofei, J Zhang, Character correction method and apparatus, device, and storage medium, US Patent 10,929,014 (2021)
• [63] FAN Miao, J Guo, L Liu, L Zhao, Y Wang, M Sun, P Li, H Wang, Method and apparatus for optimizing advertisement click-through rate estimation model, US Patent App. 16/883,076 (2020)
• [64] FAN Miao, Y Feng, M Sun, P Li, Method, apparatus and storage medium for updating model parameter, US Patent App. 16/986,092 (2020)
• [65] Mingming Sun, Wenyue Hua, Zoey Liu, Xin Wang, Kangjie Zheng, and Ping Li, A Predicate-Function-Argument Annotation of Natural Language for Open-Domain Information eXpression , Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP ’20), Online, November 16-20, 2020(2020), 2140-2150
• [66] M Sun, W Hua, Z Liu, X Wang, K Zheng, P Li, A predicate-function-argument annotation of natural language for open-domain information eXpression, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2140-2150 (2020)
• [67] Yue Feng, Miao Fan, Mingming Sun, and Ping Li, A reinforced semi-supervised neural network for helpful review identification, , 2021-2024 (2020)
• [68] FAN Miao, M Sun, LIN Wutao, P Li, Method and apparatus for building synonymy discriminating model and method and apparatus for discriminating synonymous text, US Patent 10,776,578 (2020)
• [69] Tan Yu, Yi Yang, Yi Li, Xiaodong Chen, Mingming Sun, and Ping Li, Combo-attention network for baidu video advertising, , 2474-2482 (2020)
• [70] Jingyuan Zhang, Mingming Sun, Yue Feng, and Ping Li, Learning interpretable relationships between entities, relations and concepts via bayesian structure learning on open domain facts, , 8045-8056 (2020)
• [71] Guiliang Liu, Xu Li, Mingming Sun, and Ping Li , An Advantage Actor-Critic Algorithm with Confidence Exploration for Open Information Extraction, Proceedings of the 2020 SIAM International Conference on Data Mining (SDM ’20), Cincinnati, Ohio, USA, May 7-9, 2020(2020), 217-225
• [72] Guiliang Liu, Xu Li, Jiakang Wang, Mingming Sun, and Ping Li, Extracting Knowledge from Web Text with Monte Carlo Tree Search , Proceedings of The Web Conference 2020 (WWW ’20), Taipei, Taiwan, China, April 20-24, 2020(2020)
• [73] Xin Wang, Xu Li, Jinxing Yu, Mingming Sun, and Ping Li, Improved touch-screen inputting using sequence-level prediction generation, , 3077-3083 (2020)
• [74] G Liu, X Li, J Wang, M Sun, P Li, Extracting knowledge from web text with monte carlo tree search, Proceedings of The Web Conference 2020, 2585-2591 (2020)
• [75] Weijie Zhao, Deping Xie, Ronglai Jia, Yulei Qian, Rui Ding, Mingming Sun, and Ping Li, Distributed hierarchical gpu parameter server for massive scale deep learning ads systems, Proceedings of Machine Learning and Systems, 2, 412-428 (2020)
• [76] Miao Fan, Yeqi Bai, Mingming Sun, and Ping Li, Large margin prototypical network for few-shot relation classification with fine-grained features, , 2353-2356 (2019)
• [77] Miao Fan, Chao Feng, Mingming Sun, and Ping Li, Reinforced product metadata selection for helpfulness assessment of customer reviews, , 1675-1683 (2019)
• [78] C Cai, Y Cai, M Sun, Z Xu, Group representation theory for knowledge graph embedding, arXiv preprint arXiv:1909.05100 (2019)
• [79] Miao Fan, J. Guo, S. Zhu, S. Miao, Mingming Sun, and Ping Li, MOBIUS: towards the next generation of query-ad matching in baidu’s sponsored search, Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining(2019), 2509-2517
• [80] M Fan, J Guo, S Zhu, S Miao, M Sun, P Li, MOBIUS: towards the next generation of query-ad matching in baidu's sponsored search, Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2509-2517 (2019)
• [81] Xu Li, Mingming Sun, and Ping Li, Multi-agent discussion mechanism for natural language generation, Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 6096-6103 (2019)
• [82] Miao Fan, Chao Feng, L. Guo, Mingming Sun, and Ping Li, Product-aware helpfulness prediction of online reviews, , 2715-2721 (2019)
• [83] Miao Fan, Chao Feng, Mingming Sun, Ping Li, and H. Wang, Reading customer reviews to answer product-related questions, , 567-575 (2019)
• [84] Mingming Sun, and Ping Li , Graph to graph: a topology aware approach for graph structures learning and generation, , 89, 2946-2955 (2019)
• [85] Jingyuan Zhang, Xin Wang, Yue Feng, Mingming Sun, and Ping Li, Fastinput: Improving input efficiency on mobile devices, , 2057-2065 (2018)
• [86] Miao Fan, W. Lin, Yue Feng, Mingming Sun, and Ping Li, A globalization-semantic matching neural network for paraphrase identification, , 2067-2075 (2018)
• [87] Miao Fan, Yue Feng, Mingming Sun, Ping Li, H. Wang, and J. Wang, Multi-task neural learning architecture for end-to-end identification of helpful reviews, , 343-350 (2018)
• [88] Mingming Sun, Xu Li, Xin Wang, Miao Fan, Yue Feng, and Ping Li, Logician: A unified end-to-end neural approach for open-domain information extraction, , 556-564 (2018)
• [89] Mingming Sun, Xu Li, and Ping Li, Logician and orator: Learning from the duality between language and knowledge in open domain, , 2119-2130 (2018)
• [90] L. Zhang, D. Zhang, M. Sun, and F. Chen, Facial beauty analysis based on geometric feature: Toward attractiveness assessment application, Expert Systems with Applications, 82, 252-265 (2017)
• [91] J. Huang, S. Zhao, S. Ding, H. Wu, M. Sun, and H. Wang, Generating recommendation evidence using translation model, IJCAI(2016)
• [92] Z. Lai, W. K. Wong, Y. Xu, C. Zhao, and M. Sun, Sparse alignment for robust tensor learning, IEEE transactions on neural networks and learning systems, 25(10), 1779-1792 (2014)
• [93] Z. Lai, Z. Jin, J. Yang, and M. Sun, Dynamic transition embedding for image feature extraction and recognition, Neural Computing and Applications, 21, 1905-1915 (2012)
• [94] S. Wang, J. Yang, M. Sun, X. Peng, M. Sun, and C. Zhou, Sparse tensor discriminant color space for face verification, IEEE Transactions on Neural Networks and Learning Systems, 23(6), 876-888 (2012)
• [95] M. Sun, D. Zhang, and J. Yang, Face attractiveness improvement using beauty prototypes and decision, , 283-287 (2011)
• [96] S. Wu, M. Sun, and J. Yang, Stochastic neighbor projection on manifold for feature extraction, Neurocomputing, 74(17), 2780-2789 (2011)
• [97] W. K. Wong and M. Sun,, Deep learning regularized Fisher mappings, IEEE Transactions on neural networks, 22(10), 1668-1675 (2011)
• [98] X Yang, W Li, M Sun, X Hu, S Li, Y Li, Clustering toward detecting cyber attacks, 2010 International Conference on Computer Application and System Modeling (ICCASM 2010), 12, V12-243-V12-247 (2010)
• [99] M. Sun, J. Yang, C. Liu, and J. Yang, Similarity preserving principal curve: An optimal 1-D feature extractor for data representation, IEEE transactions on neural networks, 21(9), 1445-1456 (2010)
• [100] M. Sun, C. Liu, J. Yang, Z. Jin, and J. Yang, A two-step framework for highly nonlinear data unfolding, Neurocomputing, 73(10-12), 1801-1807 (2010)
• [101] XF Yang, MM Sun, XL Hu, JY Yang, Improved HMM model based method for detecting cyber attacks, Journal on Communications, 31(3), 95-101 (2010)
• [102] XF Yang, MM Sun, XL Hu, DFA-based Algorithm for Detecting Web Attacks, Jisuanji Gongcheng/ Computer Engineering, 36(13) (2010)
• [103] X Yang, M Sun, X Hu, J Yang, Grammar-Based Anomaly Methods for HTTP Attacks, 2009 Chinese Conference on Pattern Recognition, 1-5 (2009)
• [104] H. Wang, C. Zhao, H. Zhang, Y. Hu, and M. Sun, Curvature diffusion evolution in image filtering, ICARCV(2008)
• [105] M. Sun and J. Yang, Principal curves with feature continuity, , 785-792 (2007)
• [106] M. Sun, J. Yang, and J. Yang, Topology description for data distributions using a topology graph with divide-and-combine learning strategy, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 36(6), 1296-1305 (2006)
• [107] FAN Miao, L Guo, C Feng, M Sun, P Li, H Wang, Method and apparatus for presenting information, US Patent 11,651,015 (2023)
• [108] J Yang, T Yu, M Sun, P Li, Image segmentation method, device and medium, US Patent App. 18/148,812 (2023)
• [109] P Hanyu, P Weiguo, M Sun, P Li, Method for generating model, and electronic device, US Patent App. 18/080,549 (2023)
• [110] M Sun, X Li, P Li, Method and apparatus for generating model, US Patent 11,501,182 (2022)
• [111] FAN Miao, C Feng, M Sun, P Li, H Wang, Method and apparatus for responding to question, and storage medium, US Patent 11,461,399 (2022)
• [112] M Peng, Z Xiong, QH Nguyen, M Sun, KD Doan, P Li, Under-confidence Backdoors Are Resilient and Stealthy Backdoors, arXiv preprint arXiv:2202.11203 (2022)
• [113] FAN Miao, C Feng, M Sun, P Li, H Wang, Method and apparatus for determining response for user input data, and medium, US Patent 11,238,050 (2022)
• [114] FAN Miao, BAI Yeqi, M Sun, P Li, Entity relationship processing method, apparatus, device and computer readable storage medium, US Patent App. 16/875,274 (2020)
• [115] M Sun, C Liu, J Yang, Neighborhood Balance Embedding for Unsupervised Dimensionality Reduction, Chinese Conference on Pattern Recognition (2009)
• [116] M Sun, Z Jin, J Yang, J Yang, Distance Penalization Embedding for unsupervised dimensionality reduction, International Conference on Machine Learning and Cybernetics, 1, 371-376 (2009)
• [117] M Sun, J Yang, C Liu, J Yang, Learning the Similarity Preserving Principal Curves, WRI Global Congress on Intelligent Systems, 4, 451-455 (2009)
• [118] MM Sun, JY Yang, J Yang, Learning principal curves inside divide-and-combine framework, Proceedings of 2004 International Conference on Machine Learning and ... (2004)
• [119] Z Xie, X Yang, Y Yang, Q Sun, Y Jiang, H Wang, Y Cai, M Sun, Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Field
• [120] Z Xie, QY Tang, Y CAI, M Sun, On the Power-Law Hessian Spectra in Deep Learning
• [121] W Pian, H Peng, M Sun, P Li, Lifting Imbalanced Regression with Self-Supervised Learning
• [122] X Li, Y CAI, M Sun, P Li, Causal Discovery via Cholesky Factorization

Collaboration Opportunities

1. Offering internship and collaborative research opportunities with internet companies.

2. Postdoctoral positions available