August 14, 2022 – August 18, 2022

Microsoft at KDD 2022

Eastern Daylight Time (UTC -4)

위치: Washington, DC

모든 시간은 EDT (UTC -4)

08:00 – 12:00 Workshop

Document Intelligence Workshop

Douglas Burdick, Benjamin Han, Dave Lewis, Sandeep Tata, Dan Tecuci, Ani Nenkova
08:00 – 12:00 Tutorial

Large-Scale Information Extraction under Privacy-Aware Constraints

Rajeev Gupta, Ranganath Kondapally
관련 출판물
- Large-Scale Information Extraction under Privacy-Aware Constraints
  
  Rajeev Gupta, Ranganath Kondapally
13:00 – 17:00 Workshop

Content understanding and generation for e-commerce

Sumit Negi, Rajdeep Banerjee, Manisha Verma, Pooja A, Lydia Chilton, Mithun Das Gupta, Vinay P. Namboodiri, Dinesh Garg
13:00 – 17:00 Tutorial

Why Data Scientists Prefer Glassbox Machine Learning: Algorithms, Differential Privacy, Editing and Bias Mitigation

Rich Caruana, Harsha Nori
13:00 – 17:00 Tutorial

Deep Search Relevance Ranking in Practice

Linsey Pang, Wei Liu, Moumita Bhattacharya, Keng-hao Chang, Xue Li, xianjing liu, Stephen Guo

08:00 – 12:00 Workshop

Causal Discovery (CD2022)

Thuc Le, Lin Liu, Emre Kiciman, Sofia Triantafyllou, Huan Liu
13:00 – 17:00 Workshop

The 5th AIoT Workshop @ KDD'22

Jian Zhang, Jian Tang, Yiran Chen, Jie Liu, Victor Bahl, Jieping Ye, Vijaykrishnan Narayanan, Marilyn Wolf, Mani Srivastava, Michael Jordan

09:30 – 12:30 Tutorial

Automated Machine Learning & Tuning with FLAML

Chi Wang; Qingyun Wu, Xueqing Liu
10:00 – 12:00 Talk

RetroGraph: Retrosynthetic Planning with Graph Search
관련 출판물
- RetroGraph: Retrosynthetic Planning with Graph Search
  
  Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin
10:00 – 12:00 Talk

Causal Analysis and Explainability
관련 출판물
- ML4S: Learning Causal Skeleton from Vicinal Graphs
  
  Pingchuan Ma, Rui Ding, Haoyue Dai, Yuanyuan Jiang, Shuai Wang, Shi Han, Dongmei Zhang
10:00 – 12:00 Talk

Data Privacy, Ethics and Data Science for Society
관련 출판물
- Availability attacks create shortcuts
  
  Da Yu, Huishuai Zhang, Wei Chen, Tie-Yan Liu, Jian Yin
13:30 – 16:30 Tutorial

Model Monitoring in Practice: Lessons Learned and Open Challenges

Krishnaram Kenthapadi, Himabindu Lakkaraju, Pradeep Natarajan, Mehrnoosh Sameki
13:30 – 15:30 Talk

Spatio-Temporal Data
관련 출판물
- TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation
  
  Di Yao, Haonan Hu, Lun Du, Gao Cong, Shi Han, Jingping Bi
13:30 – 15:30 Talk

Geo Information and Failure Detection
관련 출판물
- NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365
  
  Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
- Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems
  
  Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
16:00 – 18:00 Talk

Human & Interfaces
관련 출판물
- Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values
  
  Zijie J. Wang, Alex Kale, Harsha Nori, Peter Stella, Mark E. Nunnally, Duen Horng Chau, Mihaela Vorvoreanu, Jennifer Wortman Vaughan, Rich Caruana

10:00 – 12:00 Talk

ADS Invited Talks

Bruce Zhang, Inderjit Dhillon
10:00 – 12:00 Talk

Deep Learning Applications
관련 출판물
- Learning Models of Individual Behavior in Chess
  
  Reid McIlroy-Young, Russell Wang, Siddhartha Sen, Jon Kleinberg, Ashton Anderson
13:30 – 15:30 Talk

Graph Mining
관련 출판물
- Learning Causal Effects on Hypergraphs
  
  Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent Hecht, Jaime Teevan
13:30 – 15:30 Talk

Mining, Inference and Learning
관련 출판물
- pureGAM: Learning an Inherently Pure Additive Model
  
  Xingzhi Sun, Ziyu Wang, Rui Ding, Shi Han, Dongmei Zhang
13:30 – 15:30 Talk

Recommendation Systems
관련 출판물
- CoRGi: Content-Rich Graph Neural Networks with Attention
  
  Jooyeon Kim, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Cheng Zheng, Miltiadis Allamanis
13:30 – 15:30 Talk

Graph and Networks
관련 출판물
- CLARE: A Semi-supervised Community Detection Algorithm
  
  Xixi Wu, Yao Zhang, Yun Xiong, Yizhu Jiao, Caihua Shan, Yangyong Zhu, Philip S Yu
13:30 – 15:30 Talk

Question Answering & NLP Applications
관련 출판물
- Generating Examples From CLI Usage: Can Transformers Help?
  
  Roshanak Zilouchian Moghaddam, Spandan Garg, Colin Clement, Yevhen Mohylevskyy, Neel Sundaresan
- Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads
  
  Chaozhuo Li, Bochen Pang, Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang

10:00 – 12:00 Talk

Mining, Inference and Learning
10:00 – 12:00 Talk

Abnormal Detection, Adversarial Attacks & Robustness
관련 출판물
- CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis
  
  Shifu Yan, Caihua Shan, Wenyi Yang, Bixiong Xu, Dongsheng Li, Lili Qiu, Jie Tong, Qi Zhang
10:00 – 12:00 Talk

Conversation, QA and Other NLP Applications
관련 출판물
- Personalized Chit-Chat Generation for Recommendation Using External Chat Corpora
  
  Changyu Chen, Xiting Wang, Xiaoyuan Yi, Fangzhao Wu, Xing Xie, Rui Yan
13:30 – 15:30 Talk

Time Series and Streaming Data
관련 출판물
- Learning Differential Operators for Interpretable Time Series Modeling
  
  Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian
- Unified 2D and 3D Pre-Training of Molecular Representations
  
  Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
- Reinforcement Subgraph Reasoning for Fake News Detection
  
  Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie
13:30 – 15:30 Talk

Search & Information Retrieval
관련 출판물
- Learning Supplementary NLP features for CTR Prediction in Sponsored Search
  
  Dong Wang, Shaoguang Yan, Yunqing Xia, Kavé Salamatian, Weiwei Deng, Qi Zhang

Microsoft at KDD 2022

Sunday, August 14, 2022

Document Intelligence Workshop

Large-Scale Information Extraction under Privacy-Aware Constraints

Content understanding and generation for e-commerce

Why Data Scientists Prefer Glassbox Machine Learning: Algorithms, Differential Privacy, Editing and Bias Mitigation

Deep Search Relevance Ranking in Practice

Monday, August 15, 2022

Causal Discovery (CD2022)

The 5th AIoT Workshop @ KDD'22

Tuesday, August 16, 2022

Automated Machine Learning & Tuning with FLAML

RetroGraph: Retrosynthetic Planning with Graph Search

Causal Analysis and Explainability

Data Privacy, Ethics and Data Science for Society

Model Monitoring in Practice: Lessons Learned and Open Challenges

Spatio-Temporal Data

Geo Information and Failure Detection

Human & Interfaces

Wednesday, August 17, 2022

ADS Invited Talks

Deep Learning Applications

Graph Mining

Mining, Inference and Learning

Recommendation Systems

Graph and Networks

Question Answering & NLP Applications

Thursday, August 18, 2022

Mining, Inference and Learning

Abnormal Detection, Adversarial Attacks & Robustness

Conversation, QA and Other NLP Applications

Time Series and Streaming Data

Search & Information Retrieval