I got my Ph.D. from University of Wisconsin-Madison advised by Prof. Paraschos Koutris. I study techniques to optimize (or show optimality for) relational queries.

In 2020, I received my B.S. in Math from National University of Singapore. There, I was advised by Prof. Jonathan Scarlett on neural architectural search.

[News] I become a Senior Applied Scientist at Microsoft Gray Systems Lab (Redmond) starting May 2025.

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Publications (* denotes alphabetical authorship)

• *Circuit Bounds for Conjunctive Queries with Self-joins
  Austen Fan, Paraschos Koutris, Hangdong Zhao
  PODS'25

• Output-sensitive Conjunctive Query Evaluation
  Shaleen Deep, Hangdong Zhao, Austen Fan, Paraschos Koutris
  PODS'25
  Best Paper Award

• Evaluating Datalog over Semirings: A Grounding-based Approach workshop version
  Hangdong Zhao, Shaleen Deep, Paraschos Koutris, Sudeepa Roy, Val Tannen
  PODS'24

• *Tight Bounds of Circuits for Sum-Product Queries slides
  Austen Fan, Paraschos Koutris, Hangdong Zhao
  PODS'24
  Distinguished Paper Award (invited to J. ACM)

• Predicate Transfer: Efficient Pre-Filtering on Multi-Join Queries
  Yifei Yang, Hangdong Zhao, Xiangyao Yu, Paraschos Koutris
  CIDR'24

• Conjunctive Queries with Negation and Aggregation: A Linear Time Characterization slides technical slides
  Hangdong Zhao, Austen Fan, Xiating Ouyang, Paraschos Koutris
  PODS'24
  Distinguished Paper Award (invited to TODS)

• *The Fine-Grained Complexity of Boolean Conjunctive Queries and Sum-Product Problems slides
  Austen Fan, Paraschos Koutris, Hangdong Zhao
  ICALP'23

• Space-Time Tradeoffs for Conjunctive Queries with Access Patterns slides
  Hangdong Zhao, Shaleen Deep, Paraschos Koutris
  PODS'23
  Distinguished Paper Award (invited to TODS)

• On Architecture Selection for Linear Inverse Problems with Untrained Neural Networks
  Yang Sun, Hangdong Zhao, Jonathan Scarlett
  Entropy, 23(11), 1481

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Teaching Experience (TA)

• CS 577 Intro to Algorithms: Spring 2022 (Prof. Jin-yi Cai), Fall 2021 (Prof. Eric Bach)

• CS 544 Intro to Big Data Systems: Fall 2023 (Prof. Tyler R. Caraza-Harter)