| 2023 | Improving Diversity in Unsupervised Keyphrase Extraction with Determinantal Point Process. | Mingyang Song, Huafeng Liu, Liping Jing |
| 2023 | CDR: Conservative Doubly Robust Learning for Debiased Recommendation. | Zijie Song, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, Can Wang |
| 2023 | Findability: A Novel Measure of Information Accessibility. | Aman Sinha, Priyanshu Raj Mall, Dwaipayan Roy |
| 2023 | The Role of Unattributed Behavior Logs in Predictive User Segmentation. | Atanu R. Sinha, Harshita Chopra, Aurghya Maiti, Atishay Ganesh, Sarthak Kapoor, Saili Myana, Saurabh Mahapatra |
| 2023 | Investigating the Impact of Multimodality and External Knowledge in Aspect-level Complaint and Sentiment Analysis. | Apoorva Singh, Apoorv Verma, Raghav Jain, Sriparna Saha |
| 2023 | GraphFC: Customs Fraud Detection with Label Scarcity. | Karandeep Singh, Yu-Che Tsai, Cheng-Te Li, Meeyoung Cha, Shou-De Lin |
| 2023 | EmFore: Online Learning of Email Folder Classification Rules. | Mukul Singh, Jos Cambronero, Sumit Gulwani, Vu Le, Gust Verbruggen |
| 2023 | Combating Ad Fatigue via Frequency-Recency Features in Online Advertising Systems. | Natalia Silberstein, Or Shoham, Assaf Klein |
| 2023 | Intersectional Bias Mitigation in Pre-trained Language Models: A Quantum-Inspired Approach. | Omid Shokrollahi |
| 2023 | Calibrate Graph Neural Networks under Out-of-Distribution Nodes via Deep Q-learning. | Weili Shi, Xueying Yang, Xujiang Zhao, Haifeng Chen, Zhiqiang Tao, Sheng Li |
| 2023 | OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning. | Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng |
| 2023 | Improving Graph Domain Adaptation with Network Hierarchy. | Boshen Shi, Yongqing Wang, Fangda Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng |
| 2023 | Learning to Simulate Complex Physical Systems: A Case Study. | Jiasheng Shi, Fu Lin, Weixiong Rao |
| 2023 | GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction. | Yucheng Shi, Yushun Dong, Qiaoyu Tan, Jundong Li, Ninghao Liu |
| 2023 | STREAMS: Towards Spatio-Temporal Causal Discovery with Reinforcement Learning for Streamflow Rate Prediction. | Paras Sheth, Ahmadreza Mosallanezhad, Kaize Ding, Reepal Shah, John Sabo, Huan Liu, K. Seluk Candan |
| 2023 | HyperBandit: Contextual Bandit with Hypernewtork for Time-Varying User Preferences in Streaming Recommendation. | Chenglei Shen, Xiao Zhang, Wei Wei, Jun Xu |
| 2023 | DAE: Distribution-Aware Embedding for Numerical Features in Click-Through Rate Prediction. | Bin Shen, Jingran Xu, Xu Min, Zeyu Ke, Yong He, Liang Zhang, Xin Dong, Linjian Mo |
| 2023 | EdgeNet : Encoder-decoder generative Network for Auction Design in E-commerce Online Advertising. | Guangyuan Shen, Shengjie Sun, Dehong Gao, Duanxiao Song, Libin Yang, Zhen Wang, Yongping Shi, Wei Ning |
| 2023 | OnlineAutoClust: A Framework for Online Automated Clustering. | Radwa El Shawi, Dmitri Rozgonjuk |
| 2023 | Representation Learning in Continuous-Time Dynamic Signed Networks. | Kartik Sharma, Mohit Raghavendra, Yeon-Chang Lee, Anand Kumar M, Srijan Kumar |
| 2023 | Misinformation Concierge: A Proof-of-Concept with Curated Twitter Dataset on COVID-19 Vaccination. | Shakshi Sharma, Anwitaman Datta, Vigneshwaran Shankaran, Rajesh Sharma |
| 2023 | CANA: Causal-enhanced Social Network Alignment. | Jiangli Shao, Yongqing Wang, Fangda Guo, Boshen Shi, Huawei Shen, Xueqi Cheng |
| 2023 | TOAK: A Topology-oriented Attack Strategy for Degrading User Identity Linkage in Cross-network Learning. | Jiangli Shao, Yongqing Wang, Fangda Guo, Boshen Shi, Huawei Shen, Xueqi Cheng |
| 2023 | PaperLM: A Pre-trained Model for Hierarchical Examination Paper Representation Learning. | Minghui Shan, Yixiao Ma, Shulan Ruan, Zhi Cao, Shiwei Tong, Qi Liu, Yu Su, Shijin Wang |
| 2023 | Automatic and Precise Data Validation for Machine Learning. | Shreya Shankar, Labib Fawaz, Karl Gyllstrom, Aditya G. Parameswaran |