| 2023 | Boosting Multitask Learning on Graphs through Higher-Order Task Affinities. | Dongyue Li, Haotian Ju, Aneesh Sharma, Hongyang R. Zhang |
| 2023 | UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation. | Jiacheng Li, Zhankui He, Jingbo Shang, Julian J. McAuley |
| 2023 | Urban Region Representation Learning with OpenStreetMap Building Footprints. | Yi Li, Weiming Huang, Gao Cong, Hao Wang, Zheng Wang |
| 2023 | Learning Balanced Tree Indexes for Large-Scale Vector Retrieval. | Wuchao Li, Chao Feng, Defu Lian, Yuxin Xie, Haifeng Liu, Yong Ge, Enhong Chen |
| 2023 | Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks. | Gaotang Li, Marlena Duda, Xiang Zhang, Danai Koutra, Yujun Yan |
| 2023 | HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline. | Yang Li, Xinyan Chen, Wenxuan Guo, Xijun Li, Wanqian Luo, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Junchi Yan |
| 2023 | DisasterNet: Causal Bayesian Networks with Normalizing Flows for Cascading Hazards Estimation from Satellite Imagery. | Xuechun Li, Paula M. Brgi, Wei Ma, Hae Young Noh, David Jay Wald, Susu Xu |
| 2023 | MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection. | Hao Liao, Jiahao Peng, Zhanyi Huang, Wei Zhang, Guanghua Li, Kai Shu, Xing Xie |
| 2023 | Analysis of COVID-19 Offensive Tweets and Their Targets. | Song Liao, Ebuka Okpala, Long Cheng, Mingqi Li, Nishant Vishwamitra, Hongxin Hu, Feng Luo, Matthew Costello |
| 2023 | CBLab: Supporting the Training of Large-scale Traffic Control Policies with Scalable Traffic Simulation. | Chumeng Liang, Zherui Huang, Yicheng Liu, Zhanyu Liu, Guanjie Zheng, Hanyuan Shi, Kan Wu, Yuhao Du, Fuliang Li, Zhenhui Jessie Li |
| 2023 | Mining of Real-world Hypergraphs: Patterns, Tools, and Generators. | Geon Lee, Jaemin Yoo, Kijung Shin |
| 2023 | Shift-Robust Molecular Relational Learning with Causal Substructure. | Namkyeong Lee, Kanghoon Yoon, Gyoung S. Na, Sein Kim, Chanyoung Park |
| 2023 | Causal Inference and Machine Learning in Practice: Use Cases for Product, Brand, Policy and Beyond. | Jeong-Yoon Lee, Yifeng Wu, Keith Battocchi, Fabio Vera, Zhenyu Zhao, Totte Harinen, Jing Pan, Huigang Chen, Zeyu Zheng, Chu Wang, Yingfei Wang, Xinwei Ma |
| 2023 | Towards Suicide Prevention from Bipolar Disorder with Temporal Symptom-Aware Multitask Learning. | Daeun Lee, Sejung Son, Hyolim Jeon, Seungbae Kim, Jinyoung Han |
| 2023 | The KDD'23 Workshop on Causal Discovery, Prediction and Decision (CDPD 2023). | Thuc Duy Le |
| 2023 | MM-DAG: Multi-task DAG Learning for Multi-modal Data - with Application for Traffic Congestion Analysis. | Tian Lan, Ziyue Li, Zhishuai Li, Lei Bai, Man Li, Fugee Tsung, Wolfgang Ketter, Rui Zhao, Chen Zhang |
| 2023 | NEON: Living Needs Prediction System in Meituan. | Xiaochong Lan, Chen Gao, Shiqi Wen, Xiuqi Chen, Yingge Che, Han Zhang, Huazhou Wei, Hengliang Luo, Yong Li |
| 2023 | A Preference-aware Meta-optimization Framework for Personalized Vehicle Energy Consumption Estimation. | Siqi Lai, Weijia Zhang, Hao Liu |
| 2023 | Optimizing Traffic Control with Model-Based Learning: A Pessimistic Approach to Data-Efficient Policy Inference. | Mayuresh Kunjir, Sanjay Chawla, Siddarth Chandrasekar, Devika Jay, Balaraman Ravindran |
| 2023 | Revisiting Hate Speech Benchmarks: From Data Curation to System Deployment. | Atharva Kulkarni, Sarah Masud, Vikram Goyal, Tanmoy Chakraborty |
| 2023 | Deception by Omission: Using Adversarial Missingness to Poison Causal Structure Learning. | Deniz Koyuncu, Alex Gittens, Blent Yener, Moti Yung |
| 2023 | Neural Insights for Digital Marketing Content Design. | Fanjie Kong, Yuan Li, Houssam Nassif, Tanner Fiez, Ricardo Henao, Shreya Chakrabarti |
| 2023 | Uncertainty Quantification in Deep Learning. | Lingkai Kong, Harshavardhan Kamarthi, Peng Chen, B. Aditya Prakash, Chao Zhang |
| 2023 | Off-Policy Evaluation of Ranking Policies under Diverse User Behavior. | Haruka Kiyohara, Masatoshi Uehara, Yusuke Narita, Nobuyuki Shimizu, Yasuo Yamamoto, Yuta Saito |
| 2023 | LATTE: A Framework for Learning Item-Features to Make a Domain-Expert for Effective Conversational Recommendation. | Taeho Kim, Juwon Yu, Won-Yong Shin, Hyunyoung Lee, Ji-Hui Im, Sang-Wook Kim |