Journal Papers

• [8] Stall Economy: The Value of Mobility in Retail on Wheels. [pdf]
  (Operations Research, 2022)
  Second Place, INFORMS Service Science Section Best Cluster Paper Award, 2022
  Junyu Cao, Wei Qi.

• [7] Intertemporal Pricing via Nonparametric Estimation: Integrating Reference Effects and Consumer Heterogeneity. [pdf]
  (Manufacturing & Service Operations Management, 2022)
  Finalist in 2020 MSOM Data-Driven Research Challenge
  Hansheng Jiang, Junyu Cao, Zuo-Jun (Max) Shen.

• [6] Last-Mile Shared Delivery: A Discrete Sequential Packing Approach. [pdf]
  (Mathematics of Operations Research, 2021)
  Finalist in INFORMS IBM Service Science Best Student Paper, 2019
  Junyu Cao, Mariana Olvera-Cravioto, Zuo-Jun (Max) Shen.

• [5] Unraveling Why We Sleep: Quantitative Analysis Reveals Abrupt Transition from Neural Reorganization to Repair in Early Growth. [pdf]
  (Science Advances, 2020)
  Junyu Cao, Alexander B. Herman, Geoffrey B. West, Gina Poe, Van M. Savage.

• [4] Connectivity of a General Class of Inhomogeneous Random Digraphs. [pdf]
  (Random Structures & Algorithms, 2020)
  Junyu Cao, Mariana Olvera-Cravioto.

• [3] 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)

• [2] 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.

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

Conference Papers (Machine Learning)

• [4] Fatigue-aware Bandits for Dependent Click Models. [pdf]
  (Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI) 2020)
  Junyu Cao, Wei Sun, Zuo-Jun (Max) Shen, Markus Ettl.

• [3] 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.

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

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

Work in Progress

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

• Urban Courier: Operational Innovation and Data-driven Coverage-and-Pricing. [pdf]
  Mengxin Wang, Meng Qi, Junyu Cao, Zuo-Jun (Max) Shen.

• Contextual Decision-making under Parametric Uncertainty and Data-driven Optimistic Optimization. [pdf]
  Junyu Cao, Rui Gao.

• Dynamic Tiered Assortment Optimization.
  Junyu Cao, Wei Sun.

• Adaptive Data Acquisition for Personalized Recommender Systems with Optimality Guarantees on Short-Form Video Platforms. [pdf]
  Second prize in Revenue Management and Pricing Data-driven Research Challenge
  Junyu Cao, Yan Leng.

• Online Facility Location. [pdf]
  Junyu Cao, Wei Qi, Yan Zhang.

• Pricing under the Generalized Markov Chain Choice Model: Learning through Large-scale Click Behaviors. [pdf]
  Mo Liu, Junyu Cao, Zuo-jun (Max) Shen.

• Speed Up the Cold-Start Learning in Two-Sided Bandits with Many Arms. [pdf]
  Mohsen Bayati, Junyu Cao, Wanning Chen.

• Collaborative Learning and Decision-Making on Pricing and Recommendation: A Simple Framework for Planning.
  Junyu Cao.

Patents

• System and method for merchandise planning with short life cycle products
  Status: submitted to U.S. Patent Office
• System and method for automated discovery of personalized offers
  Status: submitted to U.S. Patent Office

Selected Talks

• Amazon, 2022.6
• INFORMS Annual Conference, 2021.10
• YINZ OR, 2021.8
• Amazon SSAI Research, 2021.7
• Revenue Management and Pricing Conference, 2021.6
• Department of Mathematics, University of California San Diego, 2021.6
• INFORMS Annual Conference, 2019.10
• 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