CS3319: Principles of Data Science 2025 Spring
Course materials: SJTU Canvas
Teaching assistant: 隋佳成 Jiacheng Sui (jcsui01@sjtu.edu.cn)
Time: 8:00-9:40 every Tuesday (weeks 1-8); 10:00-11:40 every Thursday (weeks 1-16)
Place: DongShangYuan 106
Project assignments:
1. Dimensionality reduction [pdf]. Due 3/14/2025.2. Distance metric [pdf]. Due 4/4/2025.
3. Domain adaptation [pdf]. Due 4/25/2025.
CS7335: Statistical Learning and Inference 2024 Fall
Course materials: SJTU Canvas
Teaching assistant: 隋佳成 Jiacheng Sui (jcsui01@sjtu.edu.cn)
Time: 12:55-15:40 every Friday (weeks 1-16)
Place: DongXiaYuan 202
Project assignments:
1. Basic classification [pdf]. Due 11/22/2024.2. Kernel Smoother [pdf]. Due 12/13/2024.
3. Clustering [pdf]. Due 12/27/2024.
CS3319: Principles of Data Science 2024 Spring
Course materials: SJTU Canvas
Teaching assistant: 高炳杰 (whynothaha@sjtu.edu.cn)
Time: 8:00-9:40 every Monday (weeks 1-16); 10:00-11:40 every Wednesday (weeks 9-16)
Place: DongShangYuan 201
Project assignments:
1. Dimensionality reduction [pdf]. Due 04/05/2024.2. Distance metric [pdf]. Due 04/19/2024.
3. Feature encoding [pdf]. Due 05/10/2024.
CS7335: Statistical Learning and Inference 2023 Fall
Course materials: SJTU Canvas
Teaching assistant: 姚杰腾 Jieteng Yao (yjt18122666691@sjtu.edu.cn)
Time: 12:55-15:40 every Friday (weeks 1-16)
Place: ZhongYuan 211
Project assignments:
1. Basic classification [pdf]. Due 11/24/2023.2. Zero-shot classification [pdf]. Due 12/15/2023.
3. Domain Adaptation [pdf]. Due 12/29/2023.
CS3319: Principles of Data Science 2023 Spring
Course materials: SJTU Canvas
Teaching assistant: 曹俊燕 (Joy_C1@sjtu.edu.cn)
Time: 8:00-9:40 every Monday (weeks 1-16); 10:00-11:40 every Thursday (weeks 9-16)
Place: DongZhongYuan 3-106
Project assignments:
1. Dimensionality reduction [pdf]. Due 03/31/2023.2. Distance metric [pdf]. Due 04/28/2023.
2. Zero-shot Learning [pdf]. Due 05/21/2023.
CS7335: Statistical Learning and Inference 2022 Fall
Course materials: SJTU Canvas
Teaching assistant: 周思远 Siyuan Zhou (ssluvble@sjtu.edu.cn); 赵星 Xing Zhao (1033874657@sjtu.edu.cn)
Time: 10:00-12:45 every Friday (weeks 1-16)
Place: ChenRuiqiu 223
Project assignments:
1. Basic classification [pdf]. Due 11/11/2022.2. Zero-shot classification [pdf]. Due 12/16/2022.
3. Weakly-supervised classification [pdf]. Due 12/30/2022.
CS245: Principles of Data Science 2022 Spring
Course materials: SJTU Canvas
Teaching assistant: 张博 (bo-zhang@sjtu.edu.cn); 曹俊燕 (Joy_C1@sjtu.edu.cn)
Time: 8:00-9:40 every Monday (weeks 1-16); 10:00-11:40 every Thursday (weeks 9-16)
Place: Shangyuan 107
Project assignments:
1. Dimensionality reduction [pdf]. Due 03/27/2022.2. Distance metric [pdf]. Due 04/22/2022.
3. Domain adaptation [pdf]. Due 05/27/2022.
CS245: Principles of Data Science 2022 Spring
Course materials: SJTU Canvas
Teaching assistant: 张博 (bo-zhang@sjtu.edu.cn); 曹俊燕 (Joy_C1@sjtu.edu.cn)
Time: 8:00-9:40 every Monday (weeks 1-16); 10:00-11:40 every Thursday (weeks 9-16)
Place: Shangyuan 107
Project assignments:
1. Dimensionality reduction [pdf]. Due 03/27/2022.2. Distance metric [pdf]. Due 04/22/2022.
3. Domain adaptation [pdf]. Due 05/27/2022.
AI1601: 人工智能思维与伦理 2021 Fall
Course materials: SJTU Canvas
Teaching assistant: 曹俊燕 (Joy_C1@sjtu.edu.cn)
Time: 14:00-15:40 every Monday (weeks 1-8); 16:00-17:40 every Thursday (weeks 1-8)
Place: Shangyuan 315
Project assignments: Synthetic image recognition. [pdf]. Due 10/29/2021.
CS7335: Statistical Learning and Inference 2021 Fall
Course materials: SJTU Canvas
Teaching assistant: 洪燕 Yan Hong (yanhong.sjtu@gmail.com)
Time: 12:55-15:40 every Wednesday (weeks 1-16)
Place: ChenRuiqiu 111
Project assignment: Weak-shot classification [Tutorial] [Resource]
- Mid-term report. Due 10/31/2021. [Latex Template]
- Final report. Due 12/24/2021.
CS245: Principles of Data Science 2021 Spring
Course materials: SJTU Canvas
Teaching assistant: 丛文艳 Wenyan Cong (plcwyam17320@sjtu.edu.cn)；赵星 Xing Zhao (1033874657@sjtu.edu.cn)
Time: 8:00-9:40 every Monday (weeks 1-16); 10:00-11:40 every Thursday (weeks 9-16)
Place: East ShangYuan 201
Project assignments:
1. Dimensionality reduction [pdf]. Due 04/09/2021. Top 3 [pdf][pdf][pdf]2. Distance metric [pdf]. Due 05/07/2021. Top 3 [pdf][pdf][pdf]
3. Feature encoding [pdf]. Due 05/28/2021.
4. Domain adaptation [pdf]. Due 06/20/2021.
CS7335: Statistical Learning and Inference 2020 Fall
Course materials: SJTU Canvas
Teaching assistant: 丛文艳 Wenyan Cong (plcwyam17320@sjtu.edu.cn)
Time: 14:00-16:45 every Wednesday (weeks 1-16)
Place: ChenRuiqiu 212
Project assignments (choose one topic below):
- Few-shot classification [Tutorial] [Resource]
- Few-shot image generation [Tutorial] [Resource]
Mid-term report. Due 11/15/2020.
Final report. Due 12/18/2020.
Few-shot Classification [1] [2] [3] [4] [5] [6] [7]
Few-shot Generation [1] [2] [3] [4] [5] [6] [7] [8] [9]
CS245: Principles of Data Science 2020 Spring
Course materials: SJTU Canvas
Teaching assistant: 丛文艳 Wenyan Cong (plcwyam17320@sjtu.edu.cn)
Time: 8:00-9:40 every Monday (weeks 1-16); 10:00-11:40 every Thursday (weeks 9-16)
Place: East ShangYuan 106
Project assignments:
1. Dimensionality reduction [pdf]. Due 04/24/2020. Top 3 [pdf][pdf][pdf]2. Distance metric [pdf]. Due 05/22/2020. Top 3 [pdf][pdf][pdf]
3. Feature encoding [pdf]. Due 06/05/2020. Top 3 [pdf][pdf][pdf]
4. Domain adaptation [pdf]. Due 06/26/2020. Top 3 [pdf][pdf][pdf]
X033524: Statistical Learning and Inference 2019 Fall
Course materials: SJTU Canvas
Teaching assistant: 潘子琦 Ziqi Pan (panziqi_ai@sjtu.edu.cn)
Time: 14:55-17:40 every Wednesday (weeks 1-16)
Place: East XiaYuan 409
Office hour: 11:00am-12:00pm every Friday
Project assignments:
- Mid-term report. Due 11/03/2019.
- Final report. Due 12/20/2019.
CS245: Principles of Data Science 2019 Spring
Course materials: SJTU Canvas
Teaching assistants: 李冉 (liran920526@sjtu.edu.cn); 李想 (lucianlee@sjtu.edu.cn)
Time: 12:55-15:40 every Monday (weeks 1-16)
Place: East XiaYuan 402
Office hour: 8:30am-9:30am every Friday
Project assignments:
1. Dimensionality reduction [pdf]. Due 04/07/2019. Top 3 [pdf][pdf][pdf]2. Distance metric [pdf]. Due 04/28/2019. Top 3 [pdf][pdf][pdf]
3. Feature encoding [pdf]. Due 05/05/2019. Top 3 [pdf][pdf][pdf]
4. Domain adaptation [pdf]. Due 05/31/2019. Top 3 [pdf][pdf][pdf]