| 2026 | Re-understanding Graph Unlearning through Memorization. | Pengfei Ding, Yan Wang, Guanfeng Liu |
| 2026 | Docs2Synth: A Synthetic Data Tuned Retriever Framework for Documents Understanding. | Yihao Ding, Qiang Sun, Puzhen Wu, Sirui Li, Siwen Luo, Wei Liu |
| 2026 | HL-CMR: Hypergraph Learning for Cross-Modal Retrieval. | Guohui Ding, Jing Li, Yimin Xu, Rui Zhou |
| 2026 | Structure-Semantic Synergized Deep Contrastive Graph Clustering. | Shifei Ding, Zhe Li, Xiao Xu, Chao Li |
| 2026 | UTAG: Leveraging LLM as a Unified Embedding Generator for Text-Attributed Graphs. | Mingqian Ding, Jianjun Li, Zhiyuan Ma, Liwei Zhang, Wenqi Yang |
| 2026 | Contextual Structure-Enhanced Selective Graph Convolutional Network. | Shifei Ding, Fangchen Li, Lili Guo, Jian Zhang |
| 2026 | Unleashing the Recommendation Power of Large Language Model via Progressive Best Subset Selection. | Yicheng Di |
| 2026 | AID: Hypothesis-Grounded Probing for Conversational Recommendation. | Rajarshee Dhar, Vivek Kumar Singh, Ambrose Taylor, M. David Hanes, Yogesh Ramdoss |
| 2026 | SemTech 2026: The 4th International Workshop on AI and Semantic Technologies for the Scientific, Technical, and Legal Web. | Danilo Dess, Rima Dessi, Jeenu Joy, Hidir Aras, Francesco Osborne |
| 2026 | Question the Questions: Auditing Representation in Online Deliberative Processes. | Soham De, Lodewijk Gelauff, Ashish Goel, Smitha Milli, Ariel D. Procaccia, Alice Siu |
| 2026 | Economics Model for Federated LLM Training via Blockchain. | Soumyadeep Das, Madhusudan Singh |
| 2026 | The Algorithmic Self-Portrait: Deconstructing Memory in ChatGPT. | Abhisek Dash, Soumi Das, Elisabeth Kirsten, Qinyuan Wu, Sai Keerthana Karnam, Krishna P. Gummadi, Thorsten Holz, Muhammad Bilal Zafar, Savvas Zannettou |
| 2026 | Discrete Diffusion-Based Model-Level Explanation of Heterogeneous GNNs with Node Features. | Pallabee Das, Stefan Heindorf |
| 2026 | Tail-Aware Data Augmentation for Long-Tail Sequential Recommendation. | Yizhou Dang, Zhifu Wei, Minhan Huang, Lianbo Ma, Jianzhe Zhao, Guibing Guo, Xingwei Wang |
| 2026 | Fedivertex: a Graph Dataset based on Decentralized Social Media. | Marc Damie, Edwige Cyffers |
| 2026 | Adaptive Task Balancing for Visual Instruction Tuning via Inter-Task Contribution and Intra-Task Difficulty. | Yanqi Dai, Yong Wang, Zebin You, Dong Jing, Xiangxiang Chu, Zhiwu Lu |
| 2026 | Mamba Hawkes Process for Event Sequence Modeling. | Shan Dai, Yuyang Shen, Yuyang Liang, Chenhao Ma, Anningzhe Gao |
| 2026 | Anchor Drift No More: Hierarchical Consistency-Guided Prompt Distillation for Incomplete Multimodal Learning. | Ruiting Dai, Zesen Cai, Lisi Mo, Guiduo Duan, Keren Shi, Tao He |
| 2026 | Bridging Cognitive Neuroscience and Graph Intelligence: Hippocampus-Inspired Multi-View Hypergraph Learning for Web Finance Fraud. | Rongkun Cui, Nana Zhang, Kun Zhu, Qi Zhang |
| 2026 | Generalist Model for Structured Data: Foundations, Frontiers and Applications. | Peng Cui, Xingxuan Zhang, Han-Jia Ye, Jintai Chen, Shuyang Li |
| 2026 | Hermes the Polyglot: A Unified Framework to Enhance Expressiveness for Multimodal Interlingual Subtitling. | Chaoqun Cui, Shijing Wang, Liangbin Huang, Qingqing Gu, Zhaolong Huang, Xiao Zeng, Wenji Mao |
| 2026 | Characterizing Iran's Phased National Internet Shutdown in 2025: A Progressive and Distributed Action. | Shibo Cui, Mingxuan Liu, Baojun Liu, Haixin Duan, Ruixuan Li, Chaoyi Lu, Jin Zhang, Zhicheng Wang, Jinghua Bai |
| 2026 | Field Matters: A Lightweight LLM-enhanced Method for CTR Prediction. | Yu Cui, Feng Liu, Jiawei Chen, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Xiaohu Yang, Can Wang |
| 2026 | LAPS: A Lightweight Privilege-Allocation Prompting Framework for Source Localization. | Hengrui Cui, Yang Fang, Yuehang Cao, Xiang Zhao |
| 2026 | An 8-Way Taxonomy for Multimodal Disinformation and Detection Benchmark. | Shuhan Cui, Ruimin Chu, Hanrui Wang, Patrick H. Chen, Ching-Chun Chang, Isao Echizen |