| 2024 | Understanding Public Perception Towards Weather Disasters Through the Lens of Metaphor. | Rui Mao, Qika Lin, Qiawen Liu, Gianmarco Mengaldo, Erik Cambria |
| 2024 | MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement. | Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun |
| 2024 | Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting. | Wei Fan, Kun Yi, Hangting Ye, Zhiyuan Ning, Qi Zhang, Ning An |
| 2024 | CausVSR: Causality Inspired Visual Sentiment Recognition. | Xinyue Zhang, Zhaoxia Wang, Hailing Wang, Jing Xiang, Chunwei Wu, Guitao Cao |
| 2024 | Mitigating robust overfitting via self-residual-calibration regularization (Abstract Reprint). | Hong Liu, Zhun Zhong, Nicu Sebe, Shin'ichi Satoh |
| 2024 | Gradformer: Graph Transformer with Exponential Decay. | Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Shirui Pan, Wenbin Hu |
| 2024 | Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders. | Chuang Liu, Yuyao Wang, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu |
| 2024 | Multimodal Representation Distribution Learning for Medical Image Segmentation. | Chao Huang, Weichao Cai, Qiuping Jiang, Zhihua Wang |
| 2024 | Long Short-Term Dynamic Prototype Alignment Learning for Video Anomaly Detection. | Chao Huang, Jie Wen, Chengliang Liu, Yabo Liu |
| 2024 | On the Effects of Fairness to Adversarial Vulnerability. | Cuong Tran, Keyu Zhu, Pascal Van Hentenryck, Ferdinando Fioretto |
| 2024 | Hierarchical Reinforcement Learning on Multi-Channel Hypergraph Neural Network for Course Recommendation. | Lu Jiang, Yanan Xiao, Xinxin Zhao, Yuanbo Xu, Shuli Hu, Pengyang Wang, Minghao Yin |
| 2024 | Predictive Accuracy-Based Active Learning for Medical Image Segmentation. | Jun Shi, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Hong An, Xudong Xue, Bing Yan |
| 2024 | Explaining Arguments' Strength: Unveiling the Role of Attacks and Supports. | Xiang Yin, Nico Potyka, Francesca Toni |
| 2024 | Interactive Visual Learning for Stable Diffusion. | Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Shengyun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau |
| 2024 | Intention Progression with Temporally Extended Goals. | Yuan Yao, Natasha Alechina, Brian Logan |
| 2024 | DiffStega: Towards Universal Training-Free Coverless Image Steganography with Diffusion Models. | Yiwei Yang, Zheyuan Liu, Jun Jia, Zhongpai Gao, Yunhao Li, Wei Sun, Xiaohong Liu, Guangtao Zhai |
| 2024 | CoCoG: Controllable Visual Stimuli Generation Based on Human Concept Representations. | Chen Wei, Jiachen Zou, Dietmar Heinke, Quanying Liu |
| 2024 | GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract). | Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin |
| 2024 | MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (Extended Abstract). | Yuchen Li, Haoyi Xiong, Linghe Kong, Zeyi Sun, Hongyang Chen, Shuaiqiang Wang, Dawei Yin |
| 2024 | LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory. | Zicheng Liu, Li Wang, Siyuan Li, Zedong Wang, Haitao Lin, Stan Z. Li |
| 2024 | Visual Attention Prompted Prediction and Learning. | Yifei Zhang, Bo Pan, Siyi Gu, Guangji Bai, Meikang Qiu, Xiaofeng Yang, Liang Zhao |
| 2024 | Implicit Anomaly Subgraph Detection (IASD) in Multi-Domain Attribute Networks. | Ying Sun |
| 2024 | Anomaly Subgraph Detection through High-Order Sampling Contrastive Learning. | Ying Sun, Wenjun Wang, Nannan Wu, Chunlong Bao |
| 2024 | Fast Unpaired Multi-view Clustering. | Xingfeng Li, Yuangang Pan, Yinghui Sun, Quansen Sun, Ivor W. Tsang, Zhenwen Ren |
| 2024 | Joint Source Localization in Different Platforms via Implicit Propagation Characteristics of Similar Topics. | Zhen Wang, Dongpeng Hou, Shu Yin, Chao Gao, Xianghua Li |