| 2024 | Mechanism Design for Large Language Models. | Paul Dtting, Vahab Mirrokni, Renato Paes Leme, Haifeng Xu, Song Zuo |
| 2024 | Medusa: Unveil Memory Exhaustion DoS Vulnerabilities in Protocol Implementations. | Zhengjie Du, Yuekang Li, Yaowen Zheng, Xiaohan Zhang, Cen Zhang, Yi Liu, Sheikh Mahbub Habib, Xinghua Li, Linzhang Wang, Yang Liu, Bing Mao |
| 2024 | Exploiting Associations among Multi-Aspect Node Properties in Heterogeneous Graphs for Link Prediction. | Chenguang Du, Hao Geng, Deqing Wang, Fuzhen Zhuang, Zhiqiang Zhang, Lanshan Zhang |
| 2024 | LightCS: Selecting Quadratic Feature Crosses in Linear Complexity. | Zhaocheng Du, Junhao Chen, Qinglin Jia, Chuhan Wu, Jieming Zhu, Zhenhua Dong, Ruiming Tang |
| 2024 | SOIL: Score Conditioned Diffusion Model for Imbalanced Cloud Failure Prediction. | Chiming Duan, Fangkai Yang, Pu Zhao, Lingling Zheng, Yash Dagli, Yudong Liu, Qingwei Lin, Dongmei Zhang |
| 2024 | ModelGo: A Practical Tool for Machine Learning License Analysis. | Moming Duan, Qinbin Li, Bingsheng He |
| 2024 | Content Moderation on Social Media in the EU: Insights From the DSA Transparency Database. | Chiara Patricia Drolsbach, Nicolas Prllochs |
| 2024 | ARES: Predictable Traffic Engineering under Controller Failures in SD-WANs. | Songshi Dou, Li Qi, Zehua Guo |
| 2024 | PyGDebias: A Python Library for Debiasing in Graph Learning. | Yushun Dong, Zhenyu Lei, Zaiyi Zheng, Song Wang, Jing Ma, Alex Jing Huang, Chen Chen, Jundong Li |
| 2024 | The Impact of Cluster Centroid and Text Review Embeddings on Recommendation Methods. | Peter Dolog, Ylli Sadikaj, Yllka Velaj, Andreas Stephan, Benjamin Roth, Claudia Plant |
| 2024 | A Longitudinal Study of Content Control Mechanisms. | Michael Dinzinger, Michael Granitzer |
| 2024 | FashionReGen: LLM-Empowered Fashion Report Generation. | Yujuan Ding, Yunshan Ma, Wenqi Fan, Yige Yao, Tat-Seng Chua, Qing Li |
| 2024 | Enhancing Complex Question Answering over Knowledge Graphs through Evidence Pattern Retrieval. | Wentao Ding, Jinmao Li, Liangchuan Luo, Yuzhong Qu |
| 2024 | Large Language Models for Graph Learning. | Yujuan Ding, Wenqi Fan, Xiao Huang, Qing Li |
| 2024 | Divide, Conquer, and Coalesce: Meta Parallel Graph Neural Network for IoT Intrusion Detection at Scale. | Hua Ding, Lixing Chen, Shenghong Li, Yang Bai, Pan Zhou, Zhe Qu |
| 2024 | Archiving and Temporal Analysis of Behavioral Web Data - Tales from the Inside. | Stefan Dietze |
| 2024 | Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training. | Charles Dickens, Edward W. Huang, Aishwarya Reganti, Jiong Zhu, Karthik Subbian, Danai Koutra |
| 2024 | Textual Context guided Vision Transformer with Rotated Multi-Head Attention for Sentiment Analysis. | Chhavi Dhiman, Gaurav Kumar |
| 2024 | Coordinated Activity Modulates the Behavior and Emotions of Organic Users: A Case Study on Tweets about the Gaza Conflict. | Priyanka Dey, Luca Luceri, Emilio Ferrara |
| 2024 | Large Language Model Powered Agents in the Web. | Yang Deng, An Zhang, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua |
| 2024 | AN-Net: an Anti-Noise Network for Anonymous Traffic Classification. | Xianwen Deng, Yijun Wang, Zhi Xue |
| 2024 | Non-uniform Bid-scaling and Equilibria for Different Auctions: An Empirical Study. | Yuan Deng, Jieming Mao, Vahab Mirrokni, Yifeng Teng, Song Zuo |
| 2024 | Efficiency of the Generalized Second-Price Auction for Value Maximizers. | Yuan Deng, Mohammad Mahdian, Jieming Mao, Vahab Mirrokni, Hanrui Zhang, Song Zuo |
| 2024 | Individual Welfare Guarantees in the Autobidding World with Machine-learned Advice. | Yuan Deng, Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab Mirrokni |
| 2024 | Attentive Partial Convolution for RGBD Image Inpainting. | Ankan Dash, Guiling Wang, Tao Han |