| 2024 | Context Matters: Enhancing Sequential Recommendation with Context-aware Diffusion-based Contrastive Learning. | Ziqiang Cui, Haolun Wu, Bowei He, Ji Cheng, Chen Ma |
| 2024 | International Workshop on Online and Adaptive Recommender Systems (OARS 2024). | Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Stephen D. Guo, Chip Huyen |
| 2024 | The Veracity Problem: Detecting False Information and its Propagation on Online Social Media Networks. | Sarah Condran |
| 2024 | Leveraging Knowledge Graphs and LLMs to Support and Monitor Legislative Systems. | Andrea Colombo |
| 2024 | Time is Not Enough: Time-Frequency based Explanation for Time-Series Black-Box Models. | Hyunseung Chung, Sumin Jo, Yeonsu Kwon, Edward Choi |
| 2024 | Exploiting Preferences in Loss Functions for Sequential Recommendation via Weak Transitivity. | Hyunsoo Chung, Jungtaek Kim, Hyungeun Jo, Hyungwon Choi |
| 2024 | TESSM: Tree-based Selective State Space Models for Efficient Join Order Selection Learning. | Yaohui Chu, Yizhe Liu, Yue Zhang, Xuan Hou, Longfei Yu, Zhaohui Peng |
| 2024 | Causal Interventional Prediction System for Robust and Explainable Effect Forecasting. | Zhixuan Chu, Hui Ding, Guang Zeng, Shiyu Wang, Yiming Li |
| 2024 | Automatic Large Language Model Evaluation via Peer Review. | Zhumin Chu, Qingyao Ai, Yiteng Tu, Haitao Li, Yiqun Liu |
| 2024 | Untitled record | Hyunmin Choi, Jiwon Kim, Chiyoung Song, Simon S. Woo, Hyoungshick Kim |
| 2024 | DeepClair: Utilizing Market Forecasts for Effective Portfolio Selection. | Donghee Choi, Jinkyu Kim, Mogan Gim, Jinho Lee, Jaewoo Kang |
| 2024 | Music2P: A Multi-Modal AI-Driven Tool for Simplifying Album Cover Design. | Joong Ho Choi, Geonyeong Choi, Ji Eun Han, Wonjin Yang, Zhi-Qi Cheng |
| 2024 | BioMAISx: A Corpus for Aspect-Based Sentiment Analysis of Media Representations of Agricultural Biotechnologies in Africa. | Patricia Chiril, Trevor Spreadbury, Joeva Rock, Brian Dowd-Uribe, David Uminsky |
| 2024 | 1st Workshop on Multimodal Search and Recommendations (CIKM MMSR '24). | Aditya Chichani, Surya Kallumadi, Tracy Holloway King, Andrei Lopatenko |
| 2024 | Personalized Video Summarization by Multimodal Video Understanding. | Brian Y. Chen, Xiangyuan Zhao, Yingnan Zhu |
| 2024 | Trustworthy and Responsible AI for Information and Knowledge Management System. | Huaming Chen, Jun Zhuang, Yu Yao, Wei Jin, Haohan Wang, Yong Xie, Chi-Hung Chi, Kim-Kwang Raymond Choo |
| 2024 | ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance. | Ling-Hao Chen, Yuanshuo Zhang, Taohua Huang, Liangcai Su, Zeyi Lin, Xi Xiao, Xiaobo Xia, Tongliang Liu |
| 2024 | PlayBest: Professional Basketball Player Behavior Synthesis via Planning with Diffusion. | Xiusi Chen, Wei-Yao Wang, Ziniu Hu, David Reynoso, Kun Jin, Mingyan Liu, P. Jeffrey Brantingham, Wei Wang |
| 2024 | Distributed Boosting: An Enhancing Method on Dataset Distillation. | Xuechao Chen, Wenchao Meng, Peiran Wang, Qihang Zhou |
| 2024 | Social Influence Learning for Recommendation Systems. | Ximing Chen, Pui Ieng Lei, Yijun Sheng, Yanyan Liu, Zhiguo Gong |
| 2024 | Improving Message-Passing GNNs by Asynchronous Aggregation. | Jialong Chen, Tianchi Liao, Chuan Chen, Zibin Zheng |
| 2024 | Hands-On Introduction to Quantum Machine Learning. | Samuel Yen-Chi Chen, Joongheon Kim |
| 2024 | Missing Interest Modeling with Lifelong User Behavior Data for Retrieval Recommendation. | Gaode Chen, Yuezihan Jiang, Rui Huang, Kuo Cai, Yunze Luo, Ruina Sun, Qi Zhang, Han Li, Kun Gai |
| 2024 | SVIPTR: Fast and Efficient Scene Text Recognition with Vision Permutable Extractor. | Xianfu Cheng, Weixiao Zhou, Xiang Li, Jian Yang, Hang Zhang, Tao Sun, Wei Zhang, Yuying Mai, Tongliang Li, Xiaoming Chen, Zhoujun Li |
| 2024 | MODRL-TA: A Multi-Objective Deep Reinforcement Learning Framework for Traffic Allocation in E-Commerce Search. | Peng Cheng, Huimu Wang, Jinyuan Zhao, Yihao Wang, Enqiang Xu, Yu Zhao, Zhuojian Xiao, Songlin Wang, Guoyu Tang, Lin Liu, Sulong Xu |