Historical instructor

YIQIAO ZHONG

Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 1.89/5 from 9 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

What students say

Original student reviews · all captured dates

STAT 453
Quality 1/5Difficulty 4/5
dont even bother going to lectures since he cannot lecture at all. The project worth 40% of your grade will have no rubric and incredibly vague instructions that he will not clarify but will still hold you to. Bro didn't even put the project grades or the final exam grades on canvas so I don't even know how I scored. Dont take this class
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STAT 453
Quality 4/5Difficulty 5/5
Honestly the professor himself is pretty nice; however, when it comes to the exam, I had no clue what is going in while studying for it. Not much workload for the whole semester, and if you understand the concept in the lecture it is not too bad. I wouldn't say highly recommend this class, but if you really want to take it it's still doable.
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STAT 453
Quality 1/5Difficulty 4/5
Really not good at giving lectures. You will be more confused after listening to him. Also grading is arbitrary and not clear. Avoid.
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STAT 453
Quality 1/5Difficulty 3/5
Arbitrary grading: did not ever give us a rubric for the group project even when people asked him too on Piazza. His syllabus looks like he made it in 5 minutes on google docs. Lectures were impossible to follow and instead of ever explaining himself he would always say "check the slides". Worst professor I've had in my 4 years at UW.
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Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.

Classes with YIQIAO ZHONG

COMPSCI 681

Senior Honors Thesis

3 credits

Senior Honors Thesis is an individual study for seniors completing theses for honors in the Computer Sciences major, arranged with a faculty member.

No offering record · Spring 2026 · Sources

Fred SalaJosiah Hanna+3 more

No recorded grade history

STAT 453

Introduction to Deep Learning and Generative Models

3 credits

Covers deep neural networks and generative models with statistical connections, emphasizing practical implementation via open-source computing for supervised learning and dataset synthesis.

No offering record · Spring 2026 · Sources

with this instructor · course overall, matching historical terms

Yiqiao ZhongFuxin Wang

historical GPA · grades

Spring 2023–Spring 2026
STAT 699

Directed Study

1–6 credits

Directed Study (STAT 699) involves directed study projects arranged with a faculty member.

No offering record · Spring 2026 · Sources

Kris SankaranRichard Chappell+5 more

historical GPA · grades

Fall 2021–Spring 2022 · limited sample
STAT 992

Seminar

1–3 credits

A graduate-level seminar covering special topics in statistics, with subject matter that varies by offering.

No offering record · Spring 2026 · Sources

with this instructor · course overall, matching historical terms

Cecile AneYiqiao Zhong+6 more

historical GPA · grades

Fall 2021–Spring 2026

Recorded teaching history

Distinct courses recorded per term

Explore courses taught by this instructor →
Browse recorded courses
TermCourseTitle
Spring 2026COMPSCI 681Senior Honors Thesis
Spring 2026COMPSCI 799Master's Research
Spring 2026STAT 453Introduction to Deep Learning and Generative Models
Spring 2026STAT 699Directed Study
Spring 2026STAT 990Research
Spring 2026STAT 992Seminar
Fall 2025COMPSCI 699Directed Study
Fall 2025MATH/STAT 709Mathematical Statistics I
Fall 2025STAT 699Directed Study
Fall 2025STAT 990Research
Spring 2025STAT 453Introduction to Deep Learning and Generative Models
Spring 2025STAT 990Research
Fall 2024MATH/STAT 709Mathematical Statistics I
Fall 2024STAT 990Research
Spring 2024STAT 453Introduction to Deep Learning and Generative Models
Spring 2024STAT 699Directed Study
Fall 2023MATH/STAT 709Mathematical Statistics I
Spring 2023STAT 453Introduction to Deep Learning and Generative Models
Fall 2022MATH/STAT 709Mathematical Statistics I

Teaching history may be incomplete. Course pages contain course-specific feedback and citations.

Instructor identity & provenance 
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