| 2024 | Foundation Models for Aerial Robotics. | Ashish Kapoor |
| 2024 | Robust Training for Conversational Question Answering Models with Reinforced Reformulation Generation. | Magdalena Kaiser, Rishiraj Saha Roy, Gerhard Weikum |
| 2024 | Bridging Text Data and Graph Data: Towards Semantics and Structure-aware Knowledge Discovery. | Bowen Jin, Yu Zhang, Sha Li, Jiawei Han |
| 2024 | DiffKG: Knowledge Graph Diffusion Model for Recommendation. | Yangqin Jiang, Yuhao Yang, Lianghao Xia, Chao Huang |
| 2024 | Incomplete Graph Learning via Attribute-Structure Decoupled Variational Auto-Encoder. | Xinke Jiang, Zidi Qin, Jiarong Xu, Xiang Ao |
| 2024 | Recent Advances in Refinement Recommendations. | Akshay Jagatap, Sachin Farfade |
| 2024 | Mitigating Factual Inconsistency and Hallucination in Large Language Models. | Muneeswaran I, Advaith Shankar, Varun V, Saisubramaniam Gopalakrishnan, Vishal Vaddina |
| 2024 | User Consented Federated Recommender System Against Personalized Attribute Inference Attack. | Qi Hu, Yangqiu Song |
| 2024 | User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation. | Hengchang Hu, Wei Guo, Xu Liu, Yong Liu, Ruiming Tang, Rui Zhang, Min-Yen Kan |
| 2024 | Profiling Urban Mobility Patterns with High Spatial and Temporal Resolution: A Deep Dive into Cellphone Geo-position Data. | Jos Ignacio Huertas, Luisa Fernanda Chaparro Sierra |
| 2024 | SCAD: Subspace Clustering based Adversarial Detector. | Xinrong Hu, Wushuan Chen, Jie Yang, Yi Guo, Xun Yao, Bangchao Wang, Junping Liu, Ce Xu |
| 2024 | From Second to First: Mixed Censored Multi-Task Learning for Winning Price Prediction. | Jiani Huang, Zhenzhe Zheng, Yanrong Kang, Zixiao Wang |
| 2024 | Ginkgo-P: General Illustrations of Knowledge Graphs for Openness as a Platform. | Blaine Hill, Lihui Liu, Hanghang Tong |
| 2024 | Motif-based Prompt Learning for Universal Cross-domain Recommendation. | Bowen Hao, Chaoqun Yang, Lei Guo, Junliang Yu, Hongzhi Yin |
| 2024 | EvidenceQuest: An Interactive Evidence Discovery System for Explainable Artificial Intelligence. | Ambreen Hanif, Amin Beheshti, Xuyun Zhang, Steven Wood, Boualem Benatallah, EuJin Foo |
| 2024 | GEMRec: Towards Generative Model Recommendation. | Yuanhe Guo, Haoming Liu, Hongyi Wen |
| 2024 | Calibration-compatible Listwise Distillation of Privileged Features for CTR Prediction. | Xiaoqiang Gui, Yueyao Cheng, Xiang-Rong Sheng, Yunfeng Zhao, Guoxian Yu, Shuguang Han, Yuning Jiang, Jian Xu, Bo Zheng |
| 2024 | HealAI: A Healthcare LLM for Effective Medical Documentation. | Sagar Goyal, Eti Rastogi, Sree Prasanna Rajagopal, Dong Yuan, Fen Zhao, Jai Chintagunta, Gautam Naik, Jeff Ward |
| 2024 | CausalMMM: Learning Causal Structure for Marketing Mix Modeling. | Chang Gong, Di Yao, Lei Zhang, Sheng Chen, Wenbin Li, Yueyang Su, Jingping Bi |
| 2024 | Framework for Bias Detection in Machine Learning Models: A Fairness Approach. | Alveiro Alonso Rosado Gomez, Maritza Liliana Caldern-Benavides |
| 2024 | PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation. | Chunjing Gan, Bo Huang, Binbin Hu, Jian Ma, Zhiqiang Zhang, Jun Zhou, Guannan Zhang, Wenliang Zhong |
| 2024 | Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights. | Junchen Fu, Fajie Yuan, Yu Song, Zheng Yuan, Mingyue Cheng, Shenghui Cheng, Jiaqi Zhang, Jie Wang, Yunzhu Pan |
| 2024 | WordGraph: A Python Package for Reconstructing Interactive Causal Graphical Models from Text Data. | Amine Ferdjaoui, Sverine Affeldt, Mohamed Nadif |
| 2024 | Contextual MAB Oriented Embedding Denoising for Sequential Recommendation. | Zhichao Feng, Pengfei Wang, Kaiyuan Li, Chenliang Li, Shangguang Wang |
| 2024 | Scaling Use-case Based Shopping using LLMs. | Sachin Farfade, Sachin Vernekar, Vineet Chaoji, Rajdeep Mukherjee |