| 2023 | Test-Time Embedding Normalization for Popularity Bias Mitigation. | Dain Kim, Jinhyeok Park, Dongwoo Kim |
| 2023 | Exploring Cohesive Subgraphs in Hypergraphs: The (k, g)-core Approach. | Dahee Kim, Junghoon Kim, Sungsu Lim, Hyun Ji Jeong |
| 2023 | Effective Slogan Generation with Noise Perturbation. | Jongeun Kim, MinChung Kim, Taehwan Kim |
| 2023 | Class Label-aware Graph Anomaly Detection. | Junghoon Kim, Yeonjun In, Kanghoon Yoon, Junmo Lee, Chanyoung Park |
| 2023 | Can a Chatbot be Useful in Childhood Cancer Survivorship? Development of a Chatbot for Survivors of Childhood Cancer. | Mirae Kim, Kyubum Hwang, Hayoung Oh, Heejin Kim, Min-Ah Kim |
| 2023 | Contrastive Learning of Temporal Distinctiveness for Survival Analysis in Electronic Health Records. | Mohsen Nayebi Kerdabadi, Arya Hadizadeh Moghaddam, Bin Liu, Mei Liu, Zijun Yao |
| 2023 | CFOM: Lead Optimization For Drug Discovery With Limited Data. | Natan Kaminsky, Uriel Singer, Kira Radinsky |
| 2023 | Real-time Emotion Pre-Recognition in Conversations with Contrastive Multi-modal Dialogue Pre-training. | Xincheng Ju, Dong Zhang, Suyang Zhu, Junhui Li, Shoushan Li, Guodong Zhou |
| 2023 | SAFE: Sequential Attentive Face Embedding with Contrastive Learning for Deepfake Video Detection. | Juho Jung, Chaewon Kang, Jeewoo Yoon, Simon S. Woo, Jinyoung Han |
| 2023 | Hierarchical Multi-Label Classification with Partial Labels and Unknown Hierarchy. | Suhyeon Jo, DongHyeok Shin, Byeonghu Na, JoonHo Jang, Il-Chul Moon |
| 2023 | Robust Graph Clustering via Meta Weighting for Noisy Graphs. | Hyeonsoo Jo, Fanchen Bu, Kijung Shin |
| 2023 | Multi-Granularity Attention Model for Group Recommendation. | Jianye Ji, Jiayan Pei, Shaochuan Lin, Taotao Zhou, Hengxu He, Jia Jia, Ning Hu |
| 2023 | MSRA: A Multi-Aspect Semantic Relevance Approach for E-Commerce via Multimodal Pre-Training. | Hanqi Jin, Jiwei Tan, Lixin Liu, Lisong Qiu, Shaowei Yao, Xi Chen, Xiaoyi Zeng |
| 2023 | Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation. | Jiazheng Jing, Yinan Zhang, Xin Zhou, Zhiqi Shen |
| 2023 | Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank. | Jiarui Jin, Xianyu Chen, Weinan Zhang, Mengyue Yang, Yang Wang, Yali Du, Yong Yu, Jun Wang |
| 2023 | Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction. | Xinke Jiang, Dingyi Zhuang, Xianghui Zhang, Hao Chen, Jiayuan Luo, Xiaowei Gao |
| 2023 | PriSHAP: Prior-guided Shapley Value Explanations for Correlated Features. | Guanyu Jiang, Fuzhen Zhuang, Bowen Song, Tianyi Zhang, Deqing Wang |
| 2023 | AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation. | Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Xing Xie, Sunghun Kim |
| 2023 | Knowledge-Aware Cross-Semantic Alignment for Domain-Level Zero-Shot Recommendation. | Junji Jiang, Hongke Zhao, Ming He, Likang Wu, Kai Zhang, Jianping Fan |
| 2023 | A Stochastic Online Forecast-and-Optimize Framework for Real-Time Energy Dispatch in Virtual Power Plants under Uncertainty. | Wei Jiang, Zhongkai Yi, Li Wang, Hanwei Zhang, Jihai Zhang, Fangquan Lin, Cheng Yang |
| 2023 | Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting. | Juyong Jiang, Binqing Wu, Ling Chen, Kai Zhang, Sunghun Kim |
| 2023 | CSPM: A Contrastive Spatiotemporal Preference Model for CTR Prediction in On-Demand Food Delivery Services. | Guyu Jiang, Xiaoyun Li, Rongrong Jing, Ruoqi Zhao, Xingliang Ni, Guodong Cao, Ning Hu |
| 2023 | Self-supervised Contrastive Enhancement with Symmetric Few-shot Learning Towers for Cold-start News Recommendation. | Hao Jiang, Chuanzhen Li, Juanjuan Cai, Runyu Tian, Jingling Wang |
| 2023 | A Momentum Loss Reweighting Method for Improving Recall. | Chenzhi Jiang, Yin Jin, Ningtao Wang, Ruofan Wu, Xing Fu, Weiqiang Wang |
| 2023 | Proactive and Automatic Detection of Product Misclassifications at Massive Scale. | Ling Jiang, Xiaoyu Chu, Saaransh Gulati, Pulkit Garg, Andrew Borthwick, Gang Luo |