| 2024 | Multimodal Misinformation Detection using Large Vision-Language Models. | Sahar Tahmasebi, Eric Mller-Budack, Ralph Ewerth |
| 2024 | Enhancing SPARQL Generation by Triplet-order-sensitive Pre-training. | Chang Su, Jiexing Qi, He Yan, Kai Zou, Zhouhan Lin |
| 2024 | FABLE: Approximate Butterfly Counting in Bipartite Graph Stream with Duplicate Edges. | Guozhang Sun, Yuhai Zhao, Yuan Li |
| 2024 | Large Language Models Enhanced Collaborative Filtering. | Zhongxiang Sun, Zihua Si, Xiaoxue Zang, Kai Zheng, Yang Song, Xiao Zhang, Jun Xu |
| 2024 | A Real-Time Adaptive Multi-Stream GPU System For Online Approximate Nearest Neighborhood Search. | Yiping Sun, Yang Shi, Jiaolong Du |
| 2024 | SurvReLU: Inherently Interpretable Survival Analysis via Deep ReLU Networks. | Xiaotong Sun, Peijie Qiu, Shengfan Zhang |
| 2024 | A Learning-path based Supervised Method for Concept Prerequisite Relations Extraction in Educational Data. | Jingwen Sun, Yu He, Yiyu Xu, Jingwei Sun, Guangzhong Sun |
| 2024 | Revealing the Power of Masked Autoencoders in Traffic Forecasting. | Jiarui Sun, Yujie Fan, Chin-Chia Michael Yeh, Wei Zhang, Girish Chowdhary |
| 2024 | Dynamic Graph-based Deep Reinforcement Learning with Long and Short-term Relation Modeling for Portfolio Optimization. | Haoyu Sun, Yuxuan Bian, Li Han, Peng Zhu, Dawei Cheng, Yuqi Liang |
| 2024 | Spatio-Temporal Sequence Modeling for Traffic Signal Control. | Qian Sun, Le Zhang, Jingbo Zhou, Rui Zha, Yu Mei, Chujie Tian, Hui Xiong |
| 2024 | Improved Estimation of Ranks for Learning Item Recommenders with Negative Sampling. | Anushya Subbiah, Steffen Rendle, Vikram Aggarwal |
| 2024 | How Much Do Prompting Methods Help LLMs on Quantitative Reasoning with Irrelevant Information? | Seok Hwan Song, Wallapak Tavanapong |
| 2024 | HTFabric: A Fast Re-ordering and Parallel Re-execution Method for a High-Throughput Blockchain. | Jaeyub Song, Juyeong Jeong, Jemin Lee, Inju Na, Min-Soo Kim |
| 2024 | MultiLoRA: Multi-Directional Low Rank Adaptation for Multi-Domain Recommendation. | Zijian Song, Wenhan Zhang, Lifang Deng, Jiandong Zhang, Kaigui Bian, Bin Cui |
| 2024 | Breaking the Bottleneck on Graphs with Structured State Spaces. | Yunchong Song, Siyuan Huang, Jiacheng Cai, Xinbing Wang, Chenghu Zhou, Zhouhan Lin |
| 2024 | DFLStar: A Decentralized Federated Learning Framework with Self-Knowledge Distillation and Participant Selection. | Behnaz Soltani, Venus Haghighi, Yipeng Zhou, Quan Z. Sheng, Lina Yao |
| 2024 | XCrowd: Combining Explainability and Crowdsourcing to Diagnose Models in Relation Extraction. | Alisa Smirnova, Jie Yang, Philippe Cudr-Mauroux |
| 2024 | Untitled record | Mukul Singh, Gust Verbruggen, Vu Le, Sumit Gulwani |
| 2024 | Moving Region Representations on the Spread of a Forest Fire. | Henrique Macas da Silva, Tiago F. R. Ribeiro, Rogrio Lus de C. Costa, Jos Manuel Moreira |
| 2024 | TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou. | Zihua Si, Lin Guan, Zhongxiang Sun, Xiaoxue Zang, Jing Lu, Yiqun Hui, Xingchao Cao, Zeyu Yang, Yichen Zheng, Dewei Leng, Kai Zheng, Chenbin Zhang, Yanan Niu, Yang Song, Kun Gai |
| 2024 | Effectively Capturing Label Correlation for Tabular Multi-Label Classification. | Sajjad Kamali Siahroudi, Zahra Ahmadi, Daniel Kudenko |
| 2024 | LawLLM: Law Large Language Model for the US Legal System. | Dong Shu, Haoran Zhao, Xukun Liu, David Demeter, Mengnan Du, Yongfeng Zhang |
| 2024 | When LLM Meets Hypergraph: A Sociological Analysis on Personality via Online Social Networks. | Zhiyao Shu, Xiangguo Sun, Hong Cheng |
| 2024 | Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering. | Yucheng Shi, Qiaoyu Tan, Xuansheng Wu, Shaochen Zhong, Kaixiong Zhou, Ninghao Liu |
| 2024 | CPFD: Confidence-aware Privileged Feature Distillation for Short Video Classification. | Jinghao Shi, Xiang Shen, Kaili Zhao, Xuedong Wang, Vera Wen, Zixuan Wang, Yifan Wu, Zhixin Zhang |