01
Query Design for Crowdsourced Clustering: Effect of Cognitive Overload and Contextual Bias
The Web Conference 2025 (WWW2025), Oral
P1 Player select // Researcher
Yi Chen
Exploring the levels between people, data, and machine intelligence.
I am a fifth year PhD candidate in the ECE department at the University of Wisconsin-Madison, advised by Professor Ramya Korlakai Vinayak. I am interested in crowdsourcing, preference learning, and the application of machine learning algorithms. I received my B.A. in Computer Sciences and Mathematics with Honors from the University of Wisconsin-Madison as well.
Secret code
1 + 1 < 3
CHARACTER SELECT // YC
P1
STAGEMADISON, WI
GUILDUW–MADISON / ECE
CLASSPhD CANDIDATE
01 High-score table
Selected research
5 top-ranked papers from the research arcade.
PLAY
02
PAL: Pluralistic Alignment Framework for Learning from Heterogeneous Preferences
The Thirteenth International Conference on Learning Representations (ICLR 2025)
03
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024)
04
Rethinking Confidence and Thresholds in Pseudolabeling-based SSL
The Forty-second International Conference on Machine Learning (ICML 2025)
05
Crowdsourced Clustering via Active Querying: Practical Algorithm with Theoretical Guarantees
The Eleventh AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2023)
02 Level select
Publications
Conference papers, workshop papers, and preprints. Choose a level to inspect its records.
01 Conference publications 7 records
Metric Learning in an RKHS
Gokcan Tatli, Yi Chen, Blake Mason, Robert D Nowak, Ramya Korlakai Vinayak
The 41st Conference on Uncertainty in Artificial Intelligence (UAI 2025)
Rethinking Confidence and Thresholds in Pseudolabeling-based SSL
Harit Vishwakarma, Yi Chen, Satya Sai Srinath Namburi, Sui Jiet Tay, Ramya Korlakai Vinayak, Frederic Sala
The Forty-second International Conference on Machine Learning (ICML 2025)
Query Design for Crowdsourced Clustering: Effect of Cognitive Overload and Contextual Bias
Yi Chen and Ramya Korlakai Vinayak
The Web Conference 2025 (WWW2025), Oral
PAL: Pluralistic Alignment Framework for Learning from Heterogeneous Preferences
Daiwei Chen, Yi Chen, Aniket Rege, Ramya Korlakai Vinayak
The Thirteenth International Conference on Learning Representations (ICLR 2025)
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
Harit Vishwakarma, Yi Chen, Sui Jiet Tay, Satya Sai Srinath Namburi, Frederic Sala, Ramya Korlakai Vinayak
The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024)
Learning Populations of Preferences via Pairwise Comparison Queries
Gokcan Tatli, Yi Chen, Ramya Korlakai Vinayak
The 27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024)
Crowdsourced Clustering via Active Querying: Practical Algorithm with Theoretical Guarantees
Yi Chen, Ramya Korlakai Vinayak, Babak Hassibi
The Eleventh AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2023)
02 Workshop publications 6 records
On the Scoring Functions for RAG-based Conformal Factuality
Yi Chen, Caitlyn Heqi Yin, Sukrut Madhav Chikodikar, Ramya Korlakai Vinayak
ICML 2025 Workshop on Reliable and Responsible Foundation Models
PabLO: Improving Semi-Supervised Learning with Pseudolabeling Optimization
Harit Vishwakarma, Yi Chen, Satya Sai Srinath Namburi GNVV, Sui Jiet Tay, Ramya Korlakai Vinayak, Frederic Sala
ICML 2024 Workshop on Data-Centric Machine Learning Research
Query Design for Crowdsourced Clustering: Effect of Cognitive Overload and Contextual Bias
Yi Chen, Ramya Korlakai Vinayak
ICML 2024 Workshop on Models of Human Feedback for AI Alignment
Learning Preference Distributions From Pairwise Comparisons
Gokcan Tatli, Yi Chen, Ramya Korlakai Vinayak
9th International Workshop on Computational Social Choice (COMSOC 2023)
Learning Populations of Preferences via Pairwise Comparison Queries
Gokcan Tatli, Yi Chen, Ramya Korlakai Vinayak
MFPL Workshop at the 40th International Conference on Machine Learning (ICML 2023)
Crowdsourced Clustering via Active Querying: Practical Algorithm with Theoretical Guarantees
Yi Chen, Ramya Korlakai Vinayak, Babak Hassibi
AI & HCI Workshop at the 40th International Conference on Machine Learning (ICML 2023)
03 Preprints 1 record
Is Conformal Factuality for RAG-based LLMs Robust? Novel Metrics and Systematic Insights
Yi Chen, Daiwei Chen, Sukrut Madhav Chikodikar, Caitlyn H. Yin, Ramya Korlakai Vinayak
arXiv 2026
03 Bonus stages
Projects
Choose a cartridge: compilers, computer vision, and interface work.
P-01
CS 536 Course Project
A compiler, including Scanner, Parser, Semantic Analyzer, and Code Generator.
Start stageP-02
'B' Compiler
A compiler (written in Haskell) for b, a tiny subset of the C++ language, defined in CS536.
Start stageP-03
Handwritten Math Symbol Detector
A handwritten math symbol and formula detector trained, as a course final project for CS539.
Start stageP-04
Coding 4 Good, Event page
A horizontal cover-flow.
Start stage04 Save slots
Strategy guides
Saved progress on machine learning, optimization, and systems.
N-01
Dynamic Programming — Part I
N-02
Breadth-First Search (BFS)
N-03
Graph Basics
N-04
Depth-First Search on Graphs
N-05
Difference on Trees
N-06
Lowest Common Ancestor (LCA)
N-07
Memoization
N-08
Depth-First Search and Backtracking
N-09
Two Pointers
N-10
Stacks
N-11
Queues
N-12
Tree Basics
N-13
Depth-First Search on Trees
N-14
Union-Find (Disjoint Set Union)
N-15
Linked Lists
N-16
Priority Queues and Heaps
N-17
Greedy Algorithms
N-18
Binary Search
N-19
Prefix Sums
N-20
Difference Arrays
N-21
Quicksort
N-22
Merge Sort
N-23
Bucket Sort
N-24
Selection Sort
N-25
Insertion Sort
N-26
Bubble Sort
N-27
Nuclear Norm via Semidefinite Programming
N-28
LP Duality
N-29
RPC
N-30
Docker
N-31
Perceptron Learning Algorithm
N-32
Clustering
N-33
K-means in Python