I am an FTE at Microsoft Gray Systems Lab. I work on providing guarantees for data systems.
I received my B.S. in Math in 2020 from the tropical National University of Singapore. I was advised by Jonathan Scarlett on neural architectural search.
After years of fun work advised by Paris Koutris, I received my Ph.D. in 2025 from the wintry University of Wisconsin-Madison.
News
-
July 2026: FlowLog (and its demo) has been accepted to VLDB and SPLASH 2026. It is the fastest Datalog engine that I am aware of.
-
March 2026: I gave talks at Wisconsin and CMU Database Group on my recent use of AI agents for industrial-grade query optimization.
-
November 2025: I gave a talk at NWDS on our recent research efforts on "Modernizing the Yannakakis Algorithm".
Dissertation
-
Advancing Join Algorithms for Real-world Queries newsletter
Hangdong Zhao
Ph.D. Dissertation, University of Wisconsin–Madison, 2025
2026 ACM SIGMOD Jim Gray Doctoral Dissertation Award
Publications (* denotes alphabetical authorship)
2027
-
Optimal Convergence of Iterative Methods for Datalogo
Simon Frisk, Hangdong Zhao, Hung Ngo, Kirk Pruhs, Benjamin Moseley, Sungjin Im, Paraschos Koutris
PODS'27
2026
-
Rubberband: Memory-Elastic, Skew-Tolerant GPU Hash Joins slides
Hangdong Zhao, Rathijit Sen, Craig Peeper, Matteo Interlandi
VLDB'26 ADMS -
FlowLog: Efficient and Extensible Datalog via Incrementality slides flowlog-rs.com github SPLASH'26 demo
Hangdong Zhao, Zhenghong Yu, Srinag Rao, Simon Frisk, Zhiwei Fan, Paraschos Koutris
VLDB'26 -
How Out-of-Bounds Are Your Cardinality Estimates? demo
Mihail Stoian, Tiemo Bang, Hangdong Zhao, Jesús Camacho-Rodríguez, Yuanyuan Tian, Andreas Kipf
VLDB'26 Demo -
One Join Order Does Not Fit All: Reducing Intermediate Results with Per-Split Query Plans
Yujun He, Hangdong Zhao, Simon Frisk, Yifei Yang, Kevin Kristensen, Paraschos Koutris, Xiangyao Yu
VLDB'26 -
Demo of SemWeave: Semantic Common Expressions for LLM-powered Query Processing
Md. Tareq Mahmood, Venkatesh Emani, Hangdong Zhao, Shivaram Venkataraman
SIGMOD'26 Demo -
I Can't Believe It's Not Yannakakis: Pragmatic Bitmap Filters in Microsoft SQL Server slides
Hangdong Zhao, Yuanyuan Tian, Rana Alotaibi, Bailu Ding, Nicolas Bruno, Jesús Camacho-Rodríguez, Vassilis Papadimos, Ernesto Cervantes Juárez, Cesar Galindo-Legaria, Carlo Curino
CIDR'26
2025
-
*Circuit Bounds for Conjunctive Queries with Self-joins
Austen Fan, Paraschos Koutris, Hangdong Zhao
PODS'25 -
Output-sensitive Conjunctive Query Evaluation SIGMOD Record podcast
Shaleen Deep, Hangdong Zhao, Austen Fan, Paraschos Koutris
PODS'25
Best Paper Award (invited to J. ACM)
SIGMOD Research Highlight Award
2024
-
Evaluating Datalog over Semirings: A Grounding-based Approach Datalog 2.0'24
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 demo TODS'25
Hangdong Zhao, Austen Fan, Xiating Ouyang, Paraschos Koutris
PODS'24
Distinguished Paper Award (invited to TODS)
2023
-
*The Fine-Grained Complexity of Boolean Conjunctive Queries and Sum-Product Problems slides poster
Austen Fan, Paraschos Koutris, Hangdong Zhao
ICALP'23 -
Space-Time Tradeoffs for Conjunctive Queries with Access Patterns slides TODS'25
Hangdong Zhao, Shaleen Deep, Paraschos Koutris
PODS'23
Distinguished Paper Award (invited to TODS)
2021
-
On Architecture Selection for Linear Inverse Problems with Untrained Neural Networks
Yang Sun, Hangdong Zhao, Jonathan Scarlett
Entropy, 23(11), 1481