• 2024 -      北京雁栖湖应用数学研究中心      教授
• 2012 - 2024      百度/百度研究院      资深工程师/资深研究员/主任研究员
• 2011 - 2012      腾讯      数据分析专家
• 2007 - 2011      南京理工大学      讲师/博士后研究员

• 2014      百度最高奖
• 2023      百度骄傲特别奖
• 2023      世界互联网大会领先科技奖

• [1] 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, ICLR (2024)
• [2] Lyn Qiu, Xu Li, Lenghan Liang, Mingming Sun, Junchi Yan, Adaptable conservative q-learning for offline reinforcement learning, PRCV(2023)
• [3] 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, 2023 IEEE/CVF International Conference on Computer Vision (ICCV), Paris, France, 2023(2023), 18024-18034
• [4] Minlong Peng, and Mingming Sun, Normnet: Normalize noun phrases for more robust NLP, Findings of the Association for Computational Linguistics: ACL 2023 (ACL ’23), Toronto, Canada, July 9-14, 2023(2023), 2171-2173
• [5] Ye Ma, Mingming Sun, and Ping Li, A Semi-Autoregressive Graph Generative Model for Dependency Graph Parsing, Findings of the Association for Computational Linguistics: ACL 2023 (ACL ’23), Toronto, Canada, July 9-14, 2023(2023), 4218-4230
• [6] Jun Zhao, Yongxin Zhang, Qi Zhang, Tao Gui, Zhongyu Wei, Minlong Peng, and Mingming Sun, Actively Supervised Clustering for Open Relation Extraction, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL ’23), Toronto, Canada, July 9-14, 2023(2023), 4985-4997
• [7] 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, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL ’23), Toronto, Canada, July 9-14, 2023(2023), 6680-6691
• [8] Zhiheng Xi, Rui Zheng, Yuansen Zhang, Xuanjing Huang, Zhongyu Wei, Minlong Peng, Mingming Sun, Qi Zhang, and Tao Gui, Connectivity Patterns are Task Embeddings, Findings of the Association for Computational Linguistics: ACL 2023 (ACL ’23), Toronto, Canada, July 9-14, 2023(2023), 11993-12013
• [9] 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(2023), 28139-28154
• [10] Zeke Xie, Qian-Yuan Tang, Mingming Sun, and Ping Li, On the Overlooked Structure of Stochastic Gradients, Advances in Neural Information Processing Systems, 36(2023), 66257-66276
• [11] 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, Proceedings of the ACM Web Conference 2023 (WWW ’23), Austin, TX, USA, May 1–5, 2023(2023)
• [12] Shuo Yang, Zeke Xie, Hanyu Peng, Min Xu, Mingming Sun, and Ping Li, Dataset Pruning: Reducing Training Data by Examining Generalization Influence, The Eleventh International Conference on Learning Representations (ICLR), Kigali, Rwanda(2023)
• [13] Hanyu Peng, Weiguo Pian, Mingming Sun, and Ping Li, Dynamic Re-weighting for Long-tailed Semi-supervised Learning, Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii(2023), 6464-6474
• [14] Lyn Qiu, Xu Li, Mingming Sun, Junchi Yan, Conditional Variational Inference for Multi-modal Trajectory Prediction with Latent Diffusion Prior, PRICAI(2022)
• [15] 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, 2022 IEEE Conference on Communications and Network Security (CNS), Austin, TX, USA(2022)
• [16] Tairan Huang, Xu Li, Hao Li, Mingming Sun, and Ping Li, CGAR: critic guided action redistribution in reinforcement leaning, 2022 IEEE Conference on Games (CoG), Beijing, China(2022), 496-499
• [17] Hao Li, Xu Li, Belhal Karimi, Jie Chen, and Mingming Sun, Joint Learning of Object Graph and Relation Graph for Visual Question Answering, 2022 IEEE International Conference on Multimedia and Expo (ICME), Taipei, Taiwan, July 18-22, 2022(2022), 01-06
• [18] Yue Feng, Zhen Han, Mingming Sun, and Ping Li, Multi-hop open-domain question answering over structured and unstructured knowledge, Findings of the Association for Computational Linguistics: NAACL 2022 (NAACL ’22), Seattle, WA, United States, July 10-15, 2022(2022), 151-156
• [19] Jiaheng Liu, Tan Yu, Hanyu Peng, Mingming Sun, and Ping Li, Cross-Lingual Cross-Modal Consolidation for Effective Multilingual Video Corpus Moment Retrieval, Findings of the Association for Computational Linguistics: NAACL 2022 (NAACL ’22), Seattle, WA, United States, July 10-15, 2022(2022), 1854-1862
• [20] Jinxing Yu, Yunfeng Cai, Mingming Sun, and Ping Li, SpaceE: Knowledge Graph Embedding by Relational Linear Transformation in the Entity Space, Proceedings of the 33rd ACM Conference on Hypertext and Social Media (ACM HT ’22), Barcelona, Spain, June 28 - July 1, 2022(2022), 64-72
• [21] 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
• [22] 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
• [23] Yue Zhang, Mingming Sun, Jingyuan Zhang, and Ping Li, Explainable Concept Graph Completion by Bridging Open-Domain Relations and Concepts, Proceedings of the 2022 SIAM International Conference on Data Mining (SDM ’22), Alexandria, VA, USA, April 28-30, 2022(2022), 675-683
• [24] Hanyu Peng, Mingming Sun, and Ping Li, Optimal Transport for Long-Tailed Recognition with Learnable Cost Matrix, The Tenth International Conference on Learning Representations (ICLR), Virtual Event(2022)
• [25] Shaogang Ren, Haiyan Yin, Mingming Sun, and Ping Li, Causal discovery with flow-based conditional density estimation, 2021 IEEE International Conference on Data Mining (ICDM), Auckland, New Zealand(2021), 1300-1305
• [26] 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, Proceedings of the 30th ACM International Conference on Information & Knowledge Management (CIKM ’21)(2021), 4203-4213
• [27] 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, Proceedings of the 30th ACM International Conference on Information & Knowledge Management (CIKM ’21)(2021), 4341-4351
• [28] Yue Feng, Zhaochun Ren, Weijie Zhao, Mingming Sun, and Ping Li, Multi-Type Textual Reasoning for Product-Aware Answer Generation, Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’21) , Virtual Event, Canada, July 1115, 2021(2021), 1135-1145
• [29] Tan Yu, Xu Li, Yunfeng Cai, Mingming Sun, and Ping Li, Rethinking token-mixing MLP for MLP-based Vision Backbone, The 32nd British Machine Vision Conference (BMVC), Virtual Event, November 22- 25, 2021(2021)
• [30] Jinxing Yu, Yunfeng Cai, Mingming Sun, and Ping Li, MQuadE: a Unified Model for Knowledge Fact Embedding, Proceedings of the Web Conference 2021 (WWW ’21), Virtual Event / Ljubljana, Slovenia, April 19–23, 2021(2021), 3442-3452
• [31] 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
• [32] Yue Feng, Miao Fan, Mingming Sun, and Ping Li, A Reinforced Semi-supervised Neural Network for Helpful Review Identification, Proceedings of the 29th ACM International Conference on Information & Knowledge Management (CIKM ’20), Virtual Event, Ireland, October 19-23, 2020(2020), 2021-2024
• [33] Tan Yu, Yi Yang, Yi Li, Xiaodong Chen, Mingming Sun, and Ping Li, Combo-Attention Network for Baidu Video Advertising, Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining(2020), 2474-2482
• [34] 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, Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL ’20), Online, July 5-10, 2020(2020), 8045-8056
• [35] 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
• [36] 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)
• [37] Xin Wang, Xu Li, Jinxing Yu, Mingming Sun, and Ping Li, Improved Touch-screen Inputting Using Sequence-level Prediction Generation, Proceedings of The Web Conference 2020 (WWW ’20), April 20–24, 2020, Taipei. ACM, New York, NY, USA(2020)
• [38] 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(2020), 412-428
• [39] Miao Fan, Yeqi Bai, Mingming Sun, and Ping Li, Large margin prototypical network for few-shot relation classification with fine-grained features, The 28th ACM International Conference on Information and Knowledge Management (CIKM ’19), Beijing, China, November 3–7, 2019(2019), 2353-2356
• [40] Miao Fan, Chao Feng, Mingming Sun, and Ping Li, Reinforced product metadata selection for helpfulness assessment of customer reviews, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP ’19), Hong Kong, China, November 37, 2019(2019), 1675-1683
• [41] 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
• [42] Miao Fan, Chao Feng, L. Guo, Mingming Sun, and Ping Li, Product-aware helpfulness prediction of online reviews, Proceedings of the 2019 World Wide Web Conference (WWW ’19), San Francisco, CA, USA, May 13–17, 2019(2019), 2715-2721
• [43] Miao Fan, Chao Feng, Mingming Sun, Ping Li, and H. Wang, Reading customer reviews to answer product-related questions, Proceedings of the 2019 SIAM International Conference on Data Mining (SDM ’19), Calgary, Alberta, Canada, May 2-4, 2019(2019), 567-575
• [44] Mingming Sun, and Ping Li , Graph to Graph: a Topology Aware Approach for Graph Structures Learning and Generation, Proceedings of Machine Learning Research, 89(2019), 2946-2955
• [45] Xu Li, Mingming Sun, and Ping Li, Multi-Agent Discussion Mechanism for Natural Language Generation, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI ’19), Honolulu, Hawaii, USA, January 27 - February 1, 2019(2019), 6096-6103
• [46] Mingming Sun, Xu Li, and Ping Li, Logician and orator: Learning from the duality between language and knowledge in open domain, EMNLP(2018)
• [47] Jingyuan Zhang, Xin Wang, Yue Feng, Mingming Sun, and Ping Li, Fastinput: Improving input efficiency on mobile devices, CIKM(2018)
• [48] Miao Fan, W. Lin, Yue Feng, Mingming Sun, and Ping Li, A globalization-semantic matching neural network for paraphrase identification, CIKM(2018)
• [49] 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, ASONAM(2018)
• [50] 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, WSDM(2018)
• [51] 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(2017), 252-265
• [52] J. Huang, S. Zhao, S. Ding, H. Wu, M. Sun, and H. Wang, Generating recommendation evidence using translation model, IJCAI(2016)
• [53] 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(2014)
• [54] Z. Lai, Z. Jin, J. Yang, and M. Sun, Dynamic transition embedding for image feature extraction and recognition, NEURAL COMPUTING & APPLICATIONS, 21(2012)
• [55] 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(2012)
• [56] M. Sun, D. Zhang, and J. Yang, Face attractiveness improvement using beauty prototypes and decision, ACPR(2011)
• [57] W. K. Wong and M. Sun,, Deep learning regularized fisher mappings, IEEE Transactions on Neural Networks and Learning Systems(2011)
• [58] S. Wu, M. Sun, and J. Yang, Stochastic neighbor projection on manifold for feature extraction, NEUROCOMPUTING(2011)
• [59] M. Sun, C. Liu, J. Yang, Z. Jin, and J. Yang, A two-step framework for highly nonlinear data unfolding, NEUROCOMPUTING(2010)
• [60] 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 and Learning Systems(2010)
• [61] H. Wang, C. Zhao, H. Zhang, Y. Hu, and M. Sun, Curvature diffusion evolution in image filtering, ICARCV(2008)
• [62] M. Sun and J. Yang, Principal curves with feature continuity, PAKDD(2007)
• [63] M. Sun, J. Yang, and J. Yang, Topology description for data distributions using a topology graph with divide-and-combine learning strategy, IEEE Trans. Syst. Man Cybern. Part B(2006)

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2. 博士后职位寻求合作者