| 2024 | FreqMAE: Frequency-Aware Masked Autoencoder for Multi-Modal IoT Sensing. | Denizhan Kara, Tomoyoshi Kimura, Shengzhong Liu, Jinyang Li, Dongxin Liu, Tianshi Wang, Ruijie Wang, Yizhuo Chen, Yigong Hu, Tarek F. Abdelzaher |
| 2024 | Comprehensively Auditing the TikTok Mobile App. | Levi Kaplan, Piotr Sapiezynski |
| 2024 | How We Refute Claims: Automatic Fact-Checking through Flaw Identification and Explanation. | Wei-Yu Kao, An-Zi Yen |
| 2024 | PanoptiChrome: A Modern In-browser Taint Analysis Framework. | Rahul Kanyal, Smruti R. Sarangi |
| 2024 | LFDe: A Lighter, Faster and More Data-Efficient Pre-training Framework for Event Extraction. | Zhigang Kan, Liwen Peng, Yifu Gao, Ning Liu, Linbo Qiao, Dongsheng Li |
| 2024 | Low Mileage, High Fidelity: Evaluating Hypergraph Expansion Methods by Quantifying the Information Loss. | David Y. Kang, Qiaozhu Mei, Sang-Wook Kim |
| 2024 | SceneDAPR: A Scene-Level Free-Hand Drawing Dataset for Web-based Psychological Drawing Assessment. | Jiwon Kang, Jiwon Kim, Migyeong Yang, Chaehee Park, Taeeun Kim, Hayeon Song, Jinyoung Han |
| 2024 | Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy. | SeongKu Kang, Shivam Agarwal, Bowen Jin, Dongha Lee, Hwanjo Yu, Jiawei Han |
| 2024 | Phoenix: A Federated Generative Diffusion Model. | Fiona Victoria Stanley Jothiraj, Afra Mashhadi |
| 2024 | Contextualizing Internet Memes Across Social Media Platforms. | Saurav Joshi, Filip Ilievski, Luca Luceri |
| 2024 | Linked Open Literature Review using the Neuro-symbolic Open Research Knowledge Graph. | Azanzi Jiomekong, Sren Auer, Allard Oelen |
| 2024 | DCAI: Data-centric Artificial Intelligence. | Wei Jin, Haohan Wang, Daochen Zha, Qiaoyu Tan, Yao Ma, Sharon Li, Su-In Lee |
| 2024 | Unity is Strength? Benchmarking the Robustness of Fusion-based 3D Object Detection against Physical Sensor Attack. | Zizhi Jin, Xuancun Lu, Bo Yang, Yushi Cheng, Chen Yan, Xiaoyu Ji, Wenyuan Xu |
| 2024 | InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization. | Jiarui Jin, Zexue He, Mengyue Yang, Weinan Zhang, Yong Yu, Jun Wang, Julian J. McAuley |
| 2024 | Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries. | Yiqiao Jin, Mohit Chandra, Gaurav Verma, Yibo Hu, Munmun De Choudhury, Srijan Kumar |
| 2024 | Understanding and Counteracting Feature-Level Bias in Click-Through Rate Prediction. | Jinqiu Jin, Sihao Ding, Wenjie Wang, Fuli Feng |
| 2024 | CapAlign: Improving Cross Modal Alignment via Informative Captioning for Harmful Meme Detection. | Junhui Ji, Xuanrui Lin, Usman Naseem |
| 2024 | Disentangled Anomaly Detection For Multivariate Time Series. | Xin Jie, Xixi Zhou, Chanfei Su, Zijun Zhou, Yuqing Yuan, Jiajun Bu, Haishuai Wang |
| 2024 | Rethinking Sequential Relationships: Improving Sequential Recommenders with Inter-Sequence Data Augmentation. | Yang Jiao, Fan Yang, Yetian Chen, Yan Gao, Jia Liu, Yi Sun |
| 2024 | Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets. | Xuhui Jiang, Chengjin Xu, Yinghan Shen, Yuanzhuo Wang, Fenglong Su, Zhichao Shi, Fei Sun, Zixuan Li, Jian Guo, Huawei Shen |
| 2024 | GRACE: Generating Cause and Effect of Disaster Sub-Events from Social Media Text. | Xinxi Jiang, Xiang Li, Qifeng Zhou, Qing Wang |
| 2024 | Challenging Low Homophily in Social Recommendation. | Wei Jiang, Xinyi Gao, Guandong Xu, Tong Chen, Hongzhi Yin |
| 2024 | Entity Disambiguation with Extreme Multi-label Ranking. | Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu |
| 2024 | Item-side Fairness of Large Language Model-based Recommendation System. | Meng Jiang, Keqin Bao, Jizhi Zhang, Wenjie Wang, Zhengyi Yang, Fuli Feng, Xiangnan He |
| 2024 | TIQ: A Benchmark for Temporal Question Answering with Implicit Time Constraints. | Zhen Jia, Philipp Christmann, Gerhard Weikum |