Research

Data-Driven Stochastic Modeling and Applied Probability: [1] [3] [4]

Machine Learning and Sequential Decision Making: [2] [8] [9] [10]

Other Topics: [5] [6] [7]

Journal Papers

  • [1] Last-Mile Shared Delivery: A Discrete Sequential Packing Approach. [pdf]
    (Accepted, Mathematics of Operations Research)
    Finalist in INFORMS IBM Service Science Best Student Paper, 2019
    Junyu Cao, Mariana Olvera-Cravioto, Zuo-Jun (Max) Shen.

  • [2] Sequential Choice Bandits: Learning with Marketing Fatigue. (Submitted) [pdf]
    Katta Murty Best Paper Prize
    Junyu Cao, Wei Sun, Zuo-Jun (Max) Shen.

  • [3] Connectivity of a General Class of Inhomogeneous Random Digraphs. [pdf]
    (Accepted, Random Structures & Algorithms)
    Junyu Cao, Mariana Olvera-Cravioto.

  • [4] Connected Population Synthesis for Transportation Simulation. [pdf]
    (Transportation Research Part C: Emerging Technologies, 2019)
    Junyu Cao*, Danqing Zhang*, Sid Feygin, Dounan Tang, Zuo-Jun (Max) Shen, Alexei Pozdnoukhov.
    (* stands for equal contribution)

  • [5] Unraveling Why We Sleep: Quantitative Analysis Reveals Abrupt Transition from Neural Reorganization to Repair in Early Growth. (Submitted)
    Junyu Cao, Alexander B. Herman, Geoffrey B. West, Gina Poe, Van M. Savage.

  • [6] Some Discussions About The Best Approximate Element For A Closed Set In Euclidean Space.
    (Studies In College Mathematics, 2015, 18(1))
    Tong Xin, Junyu Cao.

  • [7] An Alternative Proof of Cauchy Criterion.
    (Studies In College Mathematics, 2012,15(5))
    Junyu Cao.

Conference Papers (Machine Learning)

  • [8] Dynamic Learning with Frequent New Product Launches: A Sequential Multinomial Logit Bandit Problem. [pdf]
    (Thirty-sixth International Conference on Machine Learning (ICML) 2019)
    Junyu Cao, Wei Sun.

  • [9] Dynamic Learning of Sequential Choice Bandit Problem under Marketing Fatigue. [pdf]
    (Thirty-Third AAAI Conference on Artificial Intelligence (AAAI) 2019)
    Junyu Cao, Wei Sun.

  • [10] Social Discrete Choice Models. (Submitted) [pdf]
    Danqing Zhang, Kimon Fountoulakis, Junyu Cao, Michael Mahoney, Alexei Pozdnoukhov.

Work in progress

  • Learning to Rank Cascade Models under Marketing Fatigue
    Joint work with Wei Sun and Zuo-Jun (Max) Shen
  • Intertemporal Pricing via Learning Customer Heterogeneity
    Joint work with Hansheng Jiang and Zuo-Jun (Max) Shen
  • Data-driven Robust Transportation Scheduling and Parcel Pricing for Same-day Delivery
    Joint work with Mengxin Wang and Zuo-Jun (Max) Shen

Selected Talks

  • IBM Thomas J. Watson Research Center, 2019.8
  • Applied Probability Society Conference (APS), 2019.7
  • International Conference on Machine Learning (ICML), 2019.6
  • POMS Annual Conference, 2019.5
  • IBM Research - Almaden, 2019.5
  • AAAI Conference on Artificial Intelligence (AAAI), 2019.1
  • INFORMS Annual Conference, 2018.10
  • IBM Thomas J. Watson Research Center, 2018.8