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Chris
ShuYu Dong

I am a postdoctoral researcher at the Chair for Algorithmic Decision Making and Society, led by Niclas Böhmer, at the Hasso Plattner Institute, University of Potsdam. My research is in computational social choice. I completed my PhD at the Technical University of Munich under the supervision of Felix Brandt.

Portrait of Chris ShuYu Dong

News

I’m also looking forward to spending October on a research visit with Jannik Peters at SUFE 🙌

I’m excited to spend part of September on a research visit with Wes Holliday at UC Berkeley 🙌

Publications

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2026

arXiv preprint

Approval-Based Multiwinner Voting with Candidate Qualities

Niclas Böhmer, Chris Dong, Luca Kreisel, and Markus Utke

Implications and incompatibilities among threshold, value, and standard justified representation notions
arXiv preprint

Jointly Satisfying Pareto Optimality and Justified Representation is NP-Hard in Approval-Based Multiwinner Voting

Chris Dong

Theorem 1: Any approval-based committee voting rule that always satisfies Pareto optimality and justified representation is NP-hard to compute
ACM EC

An Axiomatic Analysis of Proportionality Notions in Approval-Based Multiwinner Voting

Chris Dong and Jannik Peters

Approval profile used to illustrate PJR, EJR, and monotonicity
AAAI

Reconfiguring Proportional Committees

Chris Dong, Fabian Frank, Jannik Peters, and Warut Suksompong

Graph whose nodes are size-two committees and whose edges are single-candidate changes
Workshop at ACM EC

Where Should Society Draw the Line? A Social Choice Approach to Collective Consent

Chris Dong, Sonja Kraiczy, Rohit Vasishta, Markus Brill, Wesley H. Holliday, and Niclas Böhmer

Voters' ordinal rankings with their approved candidates highlighted
AAMAS

Majoritarian Assignment Rules

Felix Brandt, Haoyuan Chen, Chris Dong, Patrick Lederer, and Alexander Schlenga

A preference profile and its majority graph over the six possible assignments
AAMAS · Extended abstract

Strategic Behavior, Fairness, and Social Optimality in Multi-Winner Elections under Uncertainty

Janik Bürgermeister, Chris Dong, and Michael Lewicki

Candidate utilities and their ranking converted into a complete approval ballot by a learned strategy and then into a winning committee

2025

ICML

Maintaining Proportional Committees with Dynamic Candidate Sets

Chris Dong and Jannik Peters

Table summarizing results for incremental, decremental, and fully dynamic committee algorithms
Games and Economic Behavior

Condorcet-Consistent Choice among Three Candidates

Felix Brandt, Chris Dong, and Dominik Peters

Preference profile with its margin graph and ordinal margin graph
Theory and Decision

On Locally Rationalizable Social Choice Functions

Felix Brandt and Chris Dong

Equivalences between local rationalizability and expansion consistency
AAMAS

Selecting Interlacing Committees

Chris Dong, Martin Bullinger, Tomasz Wąs, Larry Birnbaum, and Edith Elkind

Preference profile illustrated as an interlacing hypergraph

2024

IJCAI

Comparing Ways of Obtaining Candidate Orderings from Approval Ballots

Théo Delemazure, Chris Dong, Dominik Peters, and Michaela Tydrichová

An approval profile on four candidate axes; red circles mark candidates that interrupt an approval interval
AAAI

Participation Incentives in Approval-Based Committee Elections

Martin Bullinger, Chris Dong, Patrick Lederer, and Clara Mehler

Approval profile used in the participation impossibility proof
AAAI

Refined Characterizations of Approval-Based Committee Scoring Rules

Chris Dong and Patrick Lederer

Overview of classes of approval-based committee scoring rules

2023

AAMAS

Characterizations of Sequential Valuation Rules

Chris Dong and Patrick Lederer

Overview of sequential valuation-rule characterizations