ACM SIGKDD 2020 Conference会议资料整理

今年是我第一次参加KDD会议,内容很多很丰富,一时半会儿也不能全部看完,就把会议资料(包含每场SESSION的主页、PPT、视频、github链接等等)按照会议日程的顺序整理了一下,需要的同学可以参考~(对markdown不是很熟,表格真的太丑了…请向左滑动…就可以看到资料的链接了<捂脸>…)

TRACK SESSION 资料链接

Lecture-Style Tutorials
61 – Physics Inspired Models in Artificial Intelligence
http://www.aurumahmad.com/research/physics-ai/
https://youtu.be/cJx2YKIRG0U
https://youtu.be/cu00C8-R3gk

Lecture-Style Tutorials
5 – Scientific Text Mining and Knowledge Graphs
http://www.meng-jiang.com/tutorial-kdd20-scikg.html

Lecture-Style Tutorials
6 – Learning with Small Data
https://sites.psu.edu/kdd20tutorial/

Lecture-Style Tutorials
9 – Adversarial Attacks and Defenses: Frontiers, Advances and Practice
https://sites.google.com/view/kdd-2020-attack-and-defense/
https://drive.google.com/file/d/1Byc7JRI7KRmHLBeYM4zjPdRCCtLWHYI0/view
https://github.com/DSE-MSU/DeepRobust

Lecture-Style Tutorials
11 – Multi-Modal Information Extraction from Text, Semi-structured, and Tabular Data on the Web
https://sites.google.com/view/kdd-2020-multi-modal-ie
https://arxiv.org/abs/1708.06075

Lecture-Style Tutorials
15 – Recent Advances on Graph Analytics and Its Applications in Healthcare
http://www.calvinzang.com/kdd2020_tutorial_medical_graph_analytics.html
https://www.youtube.com/playlist?list=PLaM_z0VTetVNwM9aX0EBUc7J82MnnnzMC

Lecture-Style Tutorials
44 – Human-Centered Explainability for Healthcare
https://healthxaitutorial.github.io/kdd2020/
https://youtu.be/4S5uR-G_r3M
https://github.com/healthXAItutorial/kdd2020

Lecture-Style Tutorials
15 – Recent Advances in Multimodal Educational Data Mining in K-12 Education
http://ai4ed.cc/tutorials/kdd2020/

Lecture-Style Tutorials
16 – Online User Engagement: Metrics and Optimization
https://onlineuserengagement.github.io/
https://www.hongliangjie.com/talks/KDD2020_Tutorial.pdf

Lecture-Style Tutorials
18 – Data Pricing – From Economics to Data Science
https://www.youtube.com/playlist?list=PL8n-erTbIhTMvdXs657kBOp2pXFJVyAnB
https://www2.cs.sfu.ca/~jpei/publications/Data%20Pricing%20by%20Jian%20Pei%20KDD%202020.pdf

Lecture-Style Tutorials
25 – Data Science for the Real Estate Industry
https://blog.cherre.com/2020/05/26/kdd-2020-data-science-for-the-real-estate-industry/

Lecture-Style Tutorials
51 – Embedding-Driven Multi-Dimensional Topic Mining and Text Analysis
https://yumeng5.github.io/kdd20-tutorial/

Lecture-Style Tutorials
55 – Learning by Exploration: New Challenges in Real-World Environments
http://www.cs.virginia.edu/~hw5x/HCDM/tutorials/kdd2020-learning-by-exploration/_site/
https://github.com/huazhengwang/BanditLib
https://github.com/huazhengwang/BanditLib

Lecture-Style Tutorials
59 – Image and Video Understanding for Recommendation and Spam Detection Systems
https://sites.google.com/view/kdd2020-multimedia-tutorial https://youtu.be/_shv5uZKnZ8
https://youtu.be/EIFnhFkIW0s
https://youtu.be/4e3Xss_QLSk
https://youtu.be/4e3Xss_QLSk
https://youtu.be/pjfqy6c2JHY
https://youtu.be/fsO_Yh-_ojs

Lecture-Style Tutorials
52 – Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys
https://sites.google.com/view/kdd20-marketplace-autorecsys/
https://github.com/AutoML-4Paradigm/KDD-2020-tutor

Lecture-Style Tutorials
13 – Causal Inference Meets Machine Learning
https://arxiv.org/abs/2002.02770.
https://drive.google.com/drive/folders/1-i8dOOVmS4-Y0NhCKxWku8yHuirkrl8L
https://github.com/Silver-Shen/Causally-Regularized-Learning
http://kdd2020tutorial.thumedialab.com/

Lecture-Style Tutorials
21 – Advanced Deep Graph Learning: Deeper, Faster, Robuster, and Unsupervised
https://tkipf.github.io/graph-convolutional-networks/
https://arxiv.org/pdf/1805.07984.pdf
https://arxiv.org/pdf/1905.05178.pdf
https://ai.tencent.com/ailab/ml/KDD-Deep-Graph-Learning.html

Lecture-Style Tutorials
62 – Data-Driven Never-Ending Learning Question Answering Systems

NELQA

Lecture-Style Tutorials
65 – Fairness in Machine Learning for Healthcare

Lecture-Style Tutorials
33 – Learning from All Types of Experiences: A Unifying Machine Learning Perspective

Lecture-Style Tutorials
29 – Multi-Modal Network Representation Learning: Methods and Applications
https://chuxuzhang.github.io/KDD20_Tutorial.html

Lecture-Style Tutorials
35 – Overview and Importance of Data Quality for Machine Learning Tasks
https://researcher.watson.ibm.com/researcher/view_group_subpage.php?id=10458
https://youtu.be/Za6_QnYxLzQ
https://youtu.be/QqkOQPJR9iI
https://youtu.be/ehuPm9yPAiI
https://youtu.be/4GlQbCvKoZY

Lecture-Style Tutorials
37 – Interpreting and Explaining Deep Neural Networks: A Perspective on Time Series Data
http://xai.kaist.ac.kr/Tutorial/2020/
https://youtu.be/nPFXS3B7nIw
https://youtu.be/M5BE3-F6uko

Lecture-Style Tutorials
41 – Edge AI: Systems Design and ML for IoT Data Analytics
https://sites.google.com/utexas.edu/edgeaitutorial/program
https://youtu.be/O1ytpd9Kxuw
https://youtu.be/w5AosP3nABo

Lecture-Style Tutorials
43 – Data Sketching for Real Time Analytics: Theory and Practice
https://datasketches.apache.org/docs/Community/KDD_Tutorial_Summary.html
https://youtu.be/2vabcW0WHrc
https://youtu.be/9_z40nZna7s

Lecture-Style Tutorials
49 – Deep Learning for Anomaly Detection
https://drive.google.com/file/d/1xosdUWYts7XKfOBOjsEnrF6dvkoCl6B4/view.
https://sites.google.com/view/kdd2020deepeye/home

Lecture-Style Tutorials
50 – Deep Learning for Industrial AI: Challenges, New Methods and Best Practices
https://sites.google.com/view/dl-for-industrial-ai

Workshops
11 – IRS (1st International Workshop on Industrial Recommendation Systems)
https://docs.google.com/document/d/1YT9GYFwbvh2Hk99o0MSDmShXVMBce6rD20dFKMwh20A/edit
https://www.youtube.com/playlist?list=PLL0J-WXH0lL4RqmtcedNsphekFj1pWZrW.
https://irsworkshop.github.io/2020/index.html

Workshops
3 – Knowledge Graphs and E-Commerce
https://usc-isi-i2.github.io/KDD2020workshop/

Workshops
8 – Sparse Data (2nd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data)
https://dlp-kdd.github.io/accept.html
https://dlp-kdd.github.io/accept.html
https://dlp-kdd.github.io/

Workshops
15 – CD2020 (Proposal of the KDD 2020 Workshop on Causal Discovery)
http://nugget.unisa.edu.au/CD2020/

Workshops
16 – NLLP (Workshop on Natural Legal Language Processing)
https://sites.google.com/view/nllp/program
https://itif.org/person/paul-nemitz

Workshops
25 – ML/DM (2nd Workshop on Adversarial Learning Methods for Machine Learning and Data Mining)
https://sites.google.com/view/advml

Workshops
27 – MLHat: Deployable Machine Learning for Security Defense
https://mlhat.org/schedule/

Workshops
31 – Distributed Ledger (2nd International Workshop on Smart Data for Blockchain and Distributed Ledger)
https://enigmazhu.github.io/SDBD2020/

Workshops
52 – KiML 2020 (1st International Workshop on Knowledge-Infused Mining and Learning for Social Impact (Advancing Decision Making in Health, Crisis Response, and Finance))
http://kiml2020.aiisc.ai
http://kiml2020.aiisc.ai/program.html
https://aiisc.ai/KiML2020/Workshop_Proceedings.pdf

Workshops
56 – Data Science with Human in the Loop
https://sites.google.com/view/dash2020/program?authuser=0

Workshops
14 – Humanitarian Mapping: Harnessing Data and Human-Machine Intelligence for Actionable Policy Decisions
https://kdd-humanitarian-mapping.herokuapp.com/

Workshops
5 – BIOKDD20 (19th International Workshop on Data Mining in Bioinformatics)
https://uab.box.com/s/admqlrhggw9o98phxkkfy80yfe0njy2s
http://home.biokdd.org/biokdd20/

Workshops
10 – Urban Computing (The 9th SIGKDD International Workshop on Urban Computing)
http://urban.cs.wpi.edu/urbcomp2020/

Workshops
12 – AdKDD 2020
https://www.adkdd.org/program
https://www.adkdd.org/2020-papers-and-talks
https://youtu.be/RkCyWDeS_NE

Workshops
18 – Mining and Learning with Graphs (16th International Workshop on Mining and Learning w Graphs)
https://deep-learning-graphs.bitbucket.io/dlg-kdd20/
http://www.mlgworkshop.org/2020/ https://docs.google.com/spreadsheets/d/e/2PACX-1vTw4L8oFK2nelb2sEBpg_-NOXiU7I84TwItgNTozwxgzkQ1Qb6L4Han7GtklZtowfVIamaLVfR8iaau/pubhtml

Workshops
24 – Deep Insights (International Workshop on Knowledge Graph: Mining Knowledge Graph for Deep Insights)
https://suitclub.ischool.utexas.edu/IWKG_KDD2020/index.html#agenda

Workshops
40 – Machine Learning in Finance
https://sites.google.com/view/kdd-mlf-2020/schedule
https://sites.google.com/view/kdd-mlf-2020/schedule?authuser=0

Workshops
41 – Automation in ML (The Fourth International Workshop on Automation in Machine Learning)
https://docs.google.com/document/d/1JuVc-BHgHZr7VAAbds9jO1q0Khca1Lak9rIWC9Zca2E/edit#heading=h.lwywj2su8kys
https://docs.google.com/document/d/1JuVc\BHgHZr7VAAbds9jO1q0Khca1Lak9rIWC9Zca2E/edit?usp=sharing

Workshops
46 – KDD-DLG20 (The Second International Workshop on Deep Learning on Graphs: Methods and Applications)
https://docs.google.com/spreadsheets/d/1UdofT7-rwxtESAsFtvBML5dtFpfQkkooJvm3xOd7KBQ/edit#gid=0
https://deep-learning-graphs.bitbucket.io/dlg-kdd20/

Workshops
50 – Time Series (6th Workshop on Mining and Learning from Time Series)

Workshops
58 – DSHealth (2020 KDD Workshop on Applied Data Science in Healthcare: Trustable and Actionable AI for Healthcare)
https://dshealthkdd.github.io/dshealth-2020/#program
https://dshealthkdd.github.io/dshealth-2020/#speakers
https://ncats.nih.gov/n3c/about
https://dshealthkdd.github.io/dshealth-2020/#program

Workshops
61 – epiDAMIK (Epidemiology Meets Data Mining and Knowledge Discovery)
https://epidamik.github.io/program.html

Workshops
64 – Prescriptive Analytics for the Physical World

Workshops
66 – Fragile Earth: Data Science for a Sustainable Planet

Workshops
70 – GNN@KDD 2020 (The First International Workshop on Graph Neural Networks)
https://www.aminer.cn/gnn_kdd2020

Earth Day
Welcome, Overview and Keynote: Carla Gomes; Keynote; Q&A Panel.

Health Day
Opening Session; Conversation with Peipei Ping and Wendy Nilsen; 2365; 2362; 2352; Panel 2

Deep Learning
Reinforcement Learning; Transfer Learning; Casuality; Graph Mining
https://www.kdd.org/kdd2020/special-days/deep-learning-day
https://youtu.be/-Y6fmyMWIQ0
https://youtu.be/mLT3AgrOSsQ
https://youtu.be/LIKrJnCo5fY

Hands-On Tutorial
8 – Building Forecasting Solutions Using Open-Source and Azure Machine Learning
https://chenhuims.github.io/forecasting/

Hands-On Tutorial
27 – Accelerating and Expanding End-to-End Data Science Workflows with DL/ML Interoperability Using RAPIDS

Hands-On Tutorial
64 – Scalable Graph Neural Networks with Deep Graph Library
https://github.com/dglai/KDD20-Hands-on-Tutorial

Hands-On Tutorial
30 – Robust Deep Learning Methods for Anomaly Detection
https://raghavchalapathy.github.io/KDD-Tutorials-2020-Deep-Robust-Anomaly-Detection/

Hands-On Tutorial
34 – Faster, Simpler, More Accurate: Practical Automated Machine Learning with Tabular, Text, and Image Data
https://youtu.be/UFah_BCzmEk https://jwmueller.github.io/KDD20-tutorial/ Website: https://jwmueller.github.io/KDD20-tutorial/ Installation instructions: https://github.com/jwmueller/KDD20-tutorial#setup-instructions

Workshops
6 / 32 – TMC’2020 (International Workshop on Talent and Management Computing + AI for Talent Management)
http://bigdata.ustc.edu.cn/TMC2020/

Workshops
19 – WISDOM (Workshop on Issues of Sentiment Discovery and Opinion Mining)
https://sentic.net/wisdom/

Workshops
33 – AI for Fashion Supply / Value Chain
https://kddfashion2020.mybluemix.net/#schedule-block

Workshops
35 – Standards (2nd Workshop on Data Science Standards – What do you need to know as a Data Scientist? Special Workshop Theme: Training Data Scientists of the Future)
https://www.iadss.org/kdd-2020

Workshops
48 – DeepSpacial (1st KDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems)
Please find all the paper spotlight presentation videos at the following link: https://iowa-my.sharepoint.com/:f:/g/personal/xunzhou_uiowa_edu/ErIH6XQaFLpIgPWaflLH8RUBerrdZ2Gf0cGZPDwjWt2YgA?e=GqqO9g Passcode: deepspatial

Workshops
57 – TrueFact (2nd International TrueFact Workshop: Making a Credible Web for Tomorrow)
https://www.microsoft.com/en-us/research/event/kdd-2020-truefact-workshop-making-a-credible-web-for-tomorrow/#!program-schedule
https://truthdiscoverykdd2020.github.io/

Workshops
59 – AIoT (Artificial Intelligence of Things Workshop)
https://aiotworkshop.github.io/

Workshops
69 – Adoption (KDD 2020 Workshop on Conversational Systems Towards Mainstream Adoption)
https://conversekdd20.github.io/program.html

Workshops
71 – Designing AI in Support of Good Mental Health
https://goodmentalhealth.ai/good-kdd2020.html

Workshops
72 – KDDFeed (2nd International Workshop on Intelligent Information Feed)
https://www.aminer.cn/kddfeed2020

Health Day
2354; 2360; 2367; 2386; 2356; Closing Session

Earth Day
Keynote: David Hall; Keynote: Marta Gonzalez; Q&A Panel; Summary and Closing

GS
KDD 2020 Opening Ceremony, SIGKDD Awards and Keynote Address by Yolanda Gil

Hands-On Tutorial
3 – From Zero to AI Hero with Automated Machine Learning
“https://github.com/Aniththa/KDD-20-AutoML

https://youtu.be/OoNeBuXkLeg”

Hands-On Tutorial
4 – Put Deep Learning to Work: Accelerate Deep Learning through AWS EC2 and ML Services
https://github.com/awshlabs/KDD2020
https://docs.aws.amazon.com/sagemaker/latest/dg/notebooks-sharing.html

Hands-On Tutorial
23 – How to Calibrate your Neural Network Classifier: Getting true probabilities from a classification model
https://youtu.be/I4jikv07DFw
http://kdd2020.nplan.io/
https://github.com/nplan-io/kdd2020-calibration

Hands-On Tutorial
24 – Neural Structured Learning: Training neural networks with structured signals
https://github.com/tensorflow/neural-structured-learning/tree/master/workshops/kdd_2020
https://youtu.be/iyONhiDuCKE
https://youtu.be/MQ3Ec-19_bc
https://youtu.be/qmY-CANCTdk

Hands-On Tutorial
54 – Dealing with Bias and Fairness in Data Science Systems: A Practical Hands-on Tutorial
https://youtu.be/VJVu1zgp6m4
https://dssg.github.io/fairness_tutorial/

Hands-On Tutorial
63 – In Search for A Cure: Recommendation with Knowledge Graph on CORD-19
https://kdd2020tutorial.github.io/cord19recommender
https://github.com/microsoft/recommenders/tree/kdd2020_tutorial/scenarios/academic/KDD2020-tutorial
https://github.com/microsoft/mag-covid19-research-examples

Research Papers
Research Track Oral Presentations: Fairness, Equity and Justice
https://youtu.be/3vprrucBEKM
https://dl.acm.org/doi/10.1145/3394486.3403080
https://youtu.be/FlSkBsvDFfw
https://doi.org/10.1145/3394486.3403102

Research Papers
Research Track Oral Presentations: Graph Mining 1
https://youtu.be/1S-wEnFOvYU
https://youtu.be/rsdwsCD6keg
https://youtu.be/a40zXIW5Ulk
https://youtu.be/a0h8qbhAnzQ
https://youtu.be/MZ4WJQEXPPY

Research Papers
Research Track Oral Presentations: Mining Text, Web and Social Media
https://youtu.be/CCDGV6BbHJU
https://youtu.be/ccIjTqDBJUo
https://youtu.be/ZNW4nqP3z4w
https://youtu.be/d0lRMkjYIXA
https://youtu.be/xkz3xROrHQU

Research Papers
Research Track Oral Presentations: Transfer and Multitask Learning
https://youtu.be/0Gm6HkHctr8
https://youtu.be/1YGonTNh2X0
https://youtu.be/n4sRtUn1Qmc
https://youtu.be/3etLWxDpfKQ
https://youtu.be/Fd4-SriOhSQ

Research Papers
Research Track Oral Presentations: Interpretable Models
https://youtu.be/MErtCOOzgkw
https://youtu.be/M9HnDOSigWA
https://youtu.be/r4LS_2GjNCU
https://youtu.be/y8ehtzVJ7cU
https://youtu.be/6VqR6_ijd24

Research Papers
Research Track Oral Presentations: Deep Learning
https://youtu.be/xygk2MRLEPk
https://youtu.be/CEPum11G3Os
https://youtu.be/9dSW9LVXJx0
https://youtu.be/CrGgDssLEmk
https://youtu.be/xI5CmeQbACQ

ADS Invited Talks
Health Session

ADS Papers
Content Recommendation & Retrival Systems I

D&I
Broadening Participation in Technology Policy
*Please notice the times on these, they overlap if you plan to sign up for all of them

D&I
How can Computer Science Education Address Societal Inequeties
*Please notice the times on these, they overlap if you plan to sign up for all of them

D&I
No Computation with out Representation: Avoiding data and algorithm biases through diversity
*Please notice the times on these, they overlap if you plan to sign up for all of them

D&I
Models of Data Governance and Advancing Indigenous Genomic Data Sovereignty
*Please notice the times on these, they overlap if you plan to sign up for all of them

Hands-On Tutorial
32 – Text Summarization Recipes: Overview, Applications and Best Practices
https://microsoft.github.io/nlp-recipes/

Hands-On Tutorial
67 – Building Recommender Systems with PyTorch
https://github.com/pytorch/workshops/tree/master/KDD_2020
https://youtu.be/AVyJAgGSSSQ
https://youtu.be/Q-1hVeB2BWo
https://youtu.be/fzrq1QGwsVo
https://youtu.be/quNtfWwNmPw

ADS Invited Talks
Stand Alone Session: Next Generation Frameworks for Large-Scale AI, Anima Anandkumar

ADS Papers
Content Recommendation & Retrival Systems II
https://youtu.be/_BNQ0T0nU_U
https://youtu.be/Bayd3sRpzm0
https://youtu.be/GiJZW4PWoQ0
https://youtu.be/X0wZLUDNHLs
https://youtu.be/QztRFWEOLDI

Research Papers
Research Track Oral Presentations: Neural Networks: Architecture
https://youtu.be/x2eJitaYcnM
https://youtu.be/83lIre_OcHw
https://youtu.be/YBDAT9AhAKw
https://youtu.be/RFrCCkg2bg4
https://youtu.be/PH7P9a2a5YM

Research Papers
Research Track Oral Presentations: Autoencoders
https://youtu.be/is-u5BeWEIg
https://youtu.be/I7LyYVhMggI
https://youtu.be/92R1P5s0XIs
https://youtu.be/M8ytmP3z340
https://youtu.be/AvPsipaTWfU

Research Papers
Research Track Oral Presentations: Social Informatics
https://youtu.be/67nPHEdfwyo
https://youtu.be/EC-Ush_cqJw
https://youtu.be/Gyn-bFJn2zQ
https://youtu.be/Nj6hKuuF450
https://youtu.be/cBjaDJhLcUg

Research Papers
Research Track Oral Presentations: Time-series and Data Streams
https://youtu.be/wC5jQAoCs0Q
https://youtu.be/H3epBwvGBvw
https://youtu.be/-TczNBF0LsQ
https://youtu.be/Xon5kL5BMRw
https://youtu.be/96EIHssqW0Y

Research Papers
Research Track Oral Presentations: Trustworthy Data Mining
https://youtu.be/Spx0gWDDKCU
https://youtu.be/4JjFydGnyXw
https://youtu.be/Gq0Ge1VkU8s
https://youtu.be/h5J6zns42KU
https://youtu.be/42OiklmmK08

Research Papers
Research Track Oral Presentations: Unsupervised Learning 1
https://youtu.be/YRE5DusAsXQ
https://youtu.be/2Z-SS1IchGc
https://youtu.be/sRwVMplh84A
https://youtu.be/T4CZWoGhZ4I
https://youtu.be/II8e6RdAf2Q

D&I
CoRE Lab- An Effort to Engage College Hispanic Students in STEM
*Please notice the times on these, they overlap if you plan to sign up for all of them

D&I
The Data Science Mentoring Fire Next Time: Innovative Strategies in Mentoring for Data Science
*Please notice the times on these, they overlap if you plan to sign up for all of them

D&I
Accessible Virtual Conferences
*Please notice the times on these, they overlap if you plan to sign up for all of them

D&I
The Dark Side of Machine Learning Algorithms: How and why they can leverage bias, and what can be done to pursue algorithmic fairness
*Please notice the times on these, they overlap if you plan to sign up for all of them

GS
Dissertation Awards

Research Papers
Research Track Oral Presentations: Semi-supervising Learning 1
https://youtu.be/–pPyV8rEjs
https://youtu.be/O3apfqUHe_E
https://youtu.be/sByscSv5sHU
https://youtu.be/lVHpf928cU0
https://youtu.be/TprLHxog4Ns

Research Papers
Research Track Oral Presentations: Algorithms
Partial Multi-Label Learning via Probabilistic Graph Matching Mechanism:https://youtu.be/L5x3j31Vjzo
Isolation Distributional Kernel: A new tool for kernel based anomaly detection: https://youtu.be/h-VVe99BS0o
Targeted Data-driven Regularization for Out-of-Distribution Generalization: https://youtu.be/SbYmccwp_GE

Research Papers
Research Track Oral Presentations: Healthcare and Health Informatics 1
https://youtu.be/tsqgnF_SbmA
https://youtu.be/KEJo7zkcuN4
https://youtu.be/koPc8eLuwsA
https://youtu.be/DvYHm0g5Tjs
https://youtu.be/BmInas2PPNE

Research Papers
Research Track Oral Presentations: Meta-learning and Automated ML
https://youtu.be/NN6n9p0-Kdo
https://youtu.be/AfrtnA6193k
https://youtu.be/VgBEZ2THbu8
https://youtu.be/8R65Qgy-50Y
https://youtu.be/R9XxBgLeeEc

Research Papers
Research Track Oral Presentations: Parallel and Distributed Learning and System
https://youtu.be/vD7dg_3NG_s
https://youtu.be/iubNy-9Owbc
https://youtu.be/0cQnt4K4zg0
https://youtu.be/YdPa3-SwmYY
https://youtu.be/94QUE8j1O5g

Research Papers
Research Track Oral Presentations: Recommender Systems 1
https://youtu.be/jLnnr4Qnjjg
https://youtu.be/PvtwksQx2ss
https://youtu.be/tyaNpGzHIpk
https://youtu.be/trE1E2lv3Pc

Research Papers
Research Track Oral Presentations: Reinforcement Learning
https://youtu.be/qKGpAt4WFWE
https://youtu.be/KMTMR_9wofA
https://youtu.be/uguqNDBPTlc
https://youtu.be/4FNhyoFBkQY
https://youtu.be/RC8vSSdza8I

ADS Invited Talks
Emergency Response

ADS Papers
Advt & User Engagement

GS
Keynote

Hands-On Tutorial
56 – Deep Learning for Search and Recommender Systems in Practice
https://www.youtube.com/watch?v=Dp2Iwd4FWsU&feature=youtu.be
https://sites.google.com/view/kdd20tutorial-deepsnr
https://youtu.be/Dp2Iwd4FWsU
https://youtu.be/LwjIKqNsQjc
https://youtu.be/QZ5fbO3NA64

Hands-On Tutorial
60 – Computer Vision: Deep dive into object segmentation approaches
https://storage.googleapis.com/kdd2020hdvisai/static/index.html
https://github.com/mosdragon/kdd2020/
https://colab.research.google.com/github/mosdragon/kdd2020/blob/master/tutorial/Colab-Chapter3_4/Training_Colab.ipynb

Hands-On Tutorial
48 – Intelligible and Explainable Machine Learning: Best Practices and Practical Challenges
https://tinyurl.com/kdd-shap-2020
https://interpret.ml/
https://github.com/slundberg/shap/blob/master/notebooks/general/Explainable%20AI%20with%20Shapley%20Values.ipynb

Research Papers
Research Track Oral Presentations: Adversial Learning
https://youtu.be/6CZuVeOfesk
https://youtu.be/iqMnQPqdxQY
https://youtu.be/Rx4tH3eZsbU
https://youtu.be/7igQ6qPFGbw
https://youtu.be/hQRvVbfmzCU

Research Papers
Research Track Oral Presentations: Dimensionality Reduction
Block Model Guided Unsupervised Feature Selection:https://youtu.be/lCx9f62WbUI
Leveraging Model Inherent Variable Importance for Stable Online Feature Selection:https://youtu.be/MdST8Ojqo2M
LogPar: Logistic PARAFAC2 Factorization for Temporal Binary Data with Missing Values:https://youtu.be/1CE3GX79HAU

Research Papers
Research Track Oral Presentations: Mining Text, Web, Social Media 2
https://youtu.be/HIB2sH0L7_E
https://youtu.be/KMpGK_D0qQw
https://youtu.be/4uY1Hneqm-I
https://youtu.be/XQIkxwz7dDc
https://youtu.be/tO3yFhP_HLs

Research Papers
Research Track Oral Presentations: Probabilistic Inference
https://youtu.be/7fzj2nYoNdU
https://youtu.be/UiSV0ypa_GU
https://youtu.be/8QUntF264lQ
https://youtu.be/t42JyvobN7c
https://youtu.be/NRtsfQ39xcs

Research Papers
Research Track Oral Presentations: Recommender Systems 2
https://youtu.be/thlR3V2hozs
https://youtu.be/WqkMfPQPOzc
https://youtu.be/Deek2PQjCbY
https://youtu.be/SktFp7VIaRw
https://youtu.be/5ld2a4XYz4s

Research Papers
Research Track Oral Presentations: Unsupervised Learning 2
https://youtu.be/ieiVG-ZIVZ0
https://youtu.be/_dN5WLRIrGQ
https://youtu.be/R5WzLx7eimw
https://youtu.be/Fx960DSHJRU
https://youtu.be/On7zFi8b1Og

ADS Invited Talks
Ethics

ADS Papers
GIS

ADS Papers
Applied Data Science Panel Discussion

D&I
Creating a Diverse Workspace: From academia, to government to industry.
*Please notice the times on these, they overlap if you plan to sign up for all of them

D&I
Diversity and Inclusion, a Perspective from a Four Years MSI Faculty Member
*Please notice the times on these, they overlap if you plan to sign up for all of them

D&I
Mutually Beneficial Collaborations to Broaden Participation of Hispanics in Data Science
*Please notice the times on these, they overlap if you plan to sign up for all of them

D&I
Support for Diverse Students
*Please notice the times on these, they overlap if you plan to sign up for all of them

D&I
The Illusion of Inclusion
*Please notice the times on these, they overlap if you plan to sign up for all of them

Woman’s Panel
KDD Women’s Panel

Hands-On Tutorial
28 – DeepSpeed: System optimizations enable training deep learning models with over 100 billion parameters
https://www.deepspeed.ai/
https://github.com/microsoft/DeepSpeed
https://arxiv.org/pdf/1910.02054.pdf
https://youtu.be/CaseqC45DNc
https://youtu.be/y4_bCiAsIAk https://youtu.be/9V-ZbP92drg

Hands-On Tutorial
66 – Introduction to computer vision and realtime deep learning-based object detection
https://docs.google.com/document/d/1UHOvu_XOqdtLHNiRvr0MrZ99m0PED10-pDQaAU3eBO8/edit?usp=sharing
https://drive.google.com/drive/folders/1X0z2y2vxWUTRJA1sgWpXPtD-ehAvRq9J?usp=sharing
https://drive.google.com/drive/folders/16EobVIaUbWi7MecZWiByCA0qhKoojllS
https://youtu.be/OC-XHOpUZQ4
https://youtu.be/-jBcOGR6vT4

D&I
D&I Mentoring Panel 1 (in GS Auditorium)

ADS Invited Talks
Trusted Computing

ADS Papers
Big Data Infrastructure

Research Papers
Research Track Oral Presentations: Graph Mining 2
https://youtu.be/mc6o3bWTOK4
https://youtu.be/vBDIaKrvqrs
https://youtu.be/MdNsiqNJ7xI
https://youtu.be/NGmACNTqJbA
https://youtu.be/e13L5WPnoOQ

Research Papers
Research Track Oral Presentations: Graph Neural Networks
https://youtu.be/fpGvWD5zgCs
https://youtu.be/Op0Ev97CJWE
https://youtu.be/H9Y0AWc9ZjA
https://youtu.be/N5k3AXd3wt4
https://youtu.be/SI_MosecaOk

Research Papers
Research Track Oral Presentations: Healthcare and Health Informatics 2

Research Papers
Research Track Oral Presentations: Mining Spatial, Temporal Data
https://youtu.be/hVqtBxTcT5o
https://youtu.be/JhurrY8PUmI
https://youtu.be/MtQY1C_lXCU
https://youtu.be/TuZdtuSPBDA
https://youtu.be/E5sL-McuNRw

Research Papers
Research Tral Oral Presentations: Online Learning / Bandits
https://youtu.be/lUmp4klayLc
https://youtu.be/2k1FxLOERhU
https://youtu.be/iMjHxyqtbjk
https://youtu.be/GX83ZD-ANf8
https://youtu.be/Fv81id57AGI

Research Papers
Research Track Oral Presentations: Optimization and Theory
https://youtu.be/BNI5pwHsHGs
https://youtu.be/1Z7DOOP71Xw
https://youtu.be/KBP5H_Bl3LY
https://youtu.be/OGJZwVapZh4
https://youtu.be/Uhy5CMVjYyw

GS
Keynote

Research Panel
Research Panel Discussion

Research Papers
Research Track Oral Presentations: Data Mining Methods
https://youtu.be/xrv6mVMIiNc
https://youtu.be/agQT9roiEI0
https://youtu.be/bO2Uwjof7MI
https://youtu.be/vf5HJu_GxlE
https://youtu.be/sI_x65Va5jA

Research Papers
Research Track Oral Presentations: Deep Sequence Modeling
https://youtu.be/HML9uUCbP70
https://youtu.be/m33hymW2r7Q
https://youtu.be/mxPGnfKCngY
https://youtu.be/c88TGPZAPig
https://youtu.be/2KLsWK1b4Z8

Research Papers
Research Track Oral Presentations: Graph Mining 3
https://youtu.be/h18ST4pDLXM
https://youtu.be/gfGV7bwWsSg
https://youtu.be/sLcLkU3FdLY
https://youtu.be/FYBLSCRTBQ8

Research Papers
Research Track Oral Presentations: Spectral Methods

Research Papers
Research Track Oral Presentations: Unsupervised Learning 3
https://youtu.be/5hzKRUbNnlQ
https://youtu.be/p7IztZfVVfM
https://youtu.be/-THEuvBjLA0
https://youtu.be/swwU1IxZ9zg
https://youtu.be/WQtAWE8leJQ

Research Papers
Research Track Oral Presentations: Non-parametric Methods
https://youtu.be/0nILboXXKdQ
https://youtu.be/g4BTGG77yQc
https://youtu.be/59orVFRcH88
https://youtu.be/vkOIJMJKCXg
https://youtu.be/__5zZdLwzek

ADS Invited Talks
Unstructured Data
https://youtu.be/x4HqD3e62rc
https://youtu.be/ckp_EmZDsic

ADS Papers
E-Commerce

ADS Papers
Transportation & Logistics

ADS Invited Talks
NLP
https://youtu.be/cp5iUrDAku4
https://youtu.be/qHDmupGMl2c
https://youtu.be/tGUmHb36UcY

D&I
D&I Mentoring Panel 1 (in GS Auditorium)

Research Papers
Research Track Oral Presentations: Big Data and Large Scale Methods
https://youtu.be/hf7W6WNpsE0
https://youtu.be/SStiERBCkRM
https://youtu.be/zuZba59es7U
https://youtu.be/7HLxmvl0Cok
https://youtu.be/rvuZuZsmiXk

Research Papers
Research Track Oral Presentations: Data Mining Methods
https://youtu.be/jMlSWRgUEGQ
https://youtu.be/v_4fikhx828
https://youtu.be/YYWpDgEsRjY
https://youtu.be/zC19HWCVQDM
https://youtu.be/erKpbAHbcWQ

Research Papers
Research Track Oral Presentations: Information Retrieval
https://youtu.be/Cto21W-6–Y
https://youtu.be/mOLNr4ReR8s
https://youtu.be/rpp_pQRmpNc
https://youtu.be/tqujVirj5hs
https://youtu.be/YsggLwFKS0s

Research Papers
Research Track Oral Presentations: Mining, Text, Web, Social Media 3
https://youtu.be/Fin2EqkJ_cs
https://youtu.be/_1pWcP2-Uus
https://youtu.be/VrLsuz4WPtA
https://youtu.be/W1S4xh2oaoQ
https://youtu.be/69uaCH7iHzI

Research Papers
Research Track Oral Presentations: Recommender Systems 3
https://youtu.be/WULeT6r_fPE
https://youtu.be/RTNMWswaBsg
https://youtu.be/hjy5rjJQ7xc
https://youtu.be/BrBSY9TqIMU

Research Papers
Research Track Oral Presentations: Semi-supervising Learning 2
https://youtu.be/VSdAh11fn-4
https://youtu.be/kytoMvgsKU0
https://youtu.be/sLInXRCrFjo
https://youtu.be/dhWjnN4YG8U

GS
KDD 2020 Closing Ceremony & Keynote Address

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ACM SIGKDD 2020 Conference会议资料整理

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