| 2025 | Optimize Quantization for Large Language Models via Progressive Training. | Jiangcun Du, Renren Jin, Wuwei Huang, Wei Liu, Jian Luan, Deyi Xiong |
| 2025 | Transferable and Forecastable User Targeting Foundation Model. | Bin Dou, Baokun Wang, Yun Zhu, Xiaotong Lin, Yike Xu, Xiaorui Huang, Yang Chen, Yun Liu, Shaoshuai Han, Yongchao Liu, Tianyi Zhang, Yu Cheng, Weiqiang Wang, Chuntao Hong |
| 2025 | Decoupling Knowledge and Context: An Efficient and Effective Retrieval Augmented Generation Framework via Cross Attention. | Qian Dong, Qingyao Ai, Hongning Wang, Yiding Liu, Haitao Li, Weihang Su, Yiqun Liu, Tat-Seng Chua, Shaoping Ma |
| 2025 | Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation. | Guanting Dong, Yutao Zhu, Chenghao Zhang, Zechen Wang, Ji-Rong Wen, Zhicheng Dou |
| 2025 | Retrieval with Learned Similarities. | Bailu Ding, Jiaqi Zhai |
| 2025 | HALO: Half Life-Based Outdated Fact Filtering in Temporal Knowledge Graphs. | Feng Ding, Tingting Wang, Yupeng Gao, Shuo Yu, Jing Ren, Feng Xia |
| 2025 | The Journey of Action Recognition. | Xi Ding, Lei Wang |
| 2025 | Do Language Models Understand Time? | Xi Ding, Lei Wang |
| 2025 | GPT4Image: Large Pre-trained Models Help Vision Models Learn Better on Perception Task. | Ning Ding, Yehui Tang, Zhongqian Fu, Chao Xu, Kai Han, Yunhe Wang |
| 2025 | eBaaS: AIoT-Enabled eBike Battery-Swap as a Service for Last-Mile Delivery. | Donghui Ding, Zhao Li, Jiarun Zhang, Xuanwu Liu, Ji Zhang, Yuchen Li, Peng Cai, JianXun Liu, Guodong Long |
| 2025 | Distributed Secretary Problem: A Case of Two Uneven Queues. | Ke Ding, Bo Li, Fangxiao Wang |
| 2025 | SPEAR: A Structure-Preserving Manipulation Method for Graph Backdoor Attacks. | Yuanhao Ding, Yang Liu, Yugang Ji, Weigao Wen, Qing He, Xiang Ao |
| 2025 | IllusionCAPTCHA: A CAPTCHA based on Visual Illusion. | Ziqi Ding, Gelei Deng, Yi Liu, Junchen Ding, Jieshan Chen, Yulei Sui, Yuekang Li |
| 2025 | Artificial Intelligence for Complex Network: Potential, Methodology and Application. | Jingtao Ding, Yu Zheng, Huandong Wang, Carlo Vittorio Cannistraci, Jianxi Gao, Yong Li, Chuan Shi |
| 2025 | Parallel Online Similarity Join over Trajectory Streams. | Zhongjun Ding, Ke Li, Lisi Chen, Shuo Shang |
| 2025 | Middleman Bias in Advertising: Aligning Relevance of Keyphrase Recommendations with Search. | Soumik Dey, Wei Zhang, Hansi Wu, Bingfeng Dong, Binbin Li |
| 2025 | Uncertainty-Aware Fusion: An Ensemble Framework for Mitigating Hallucinations in Large Language Models. | Prasenjit Dey, Srujana Merugu, Sivaramakrishnan R. Kaveri |
| 2025 | Developing a Comprehensive Task Framework for Effective Workforce Analysis. | Rebecca Dew, Mingzhao Li, Weidong Liu, Sandya Baratha Raj |
| 2025 | Bias in Humans and AI - What To Do About It? | Gianluca Demartini |
| 2025 | Supernotes: Driving Consensus in Crowd-Sourced Fact-Checking. | Soham De, Michiel A. Bakker, Jay Baxter, Martin Saveski |
| 2025 | MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising. | Quanyu Dai, Jiaren Xiao, Zhaocheng Du, Jieming Zhu, Chengxiao Luo, Xiao-Ming Wu, Zhenhua Dong |
| 2025 | Linear-Time Algorithms for Representative Subset Selection From Data Streams. | Shuang Cui, Kai Han, Jing Tang |
| 2025 | BATON: Enhancing Batch-wise Inference Efficiency for Large Language Models via Dynamic Re-batching. | Peizhuang Cong, Qizhi Chen, Haochen Zhao, Tong Yang |
| 2025 | The Impact of Persona-based Political Perspectives on Hateful Content Detection. | Stefano Civelli, Pietro Bernardelle, Gianluca Demartini |
| 2025 | Exposing Cross-Platform Coordinated Inauthentic Activity in the Run-Up to the 2024 U.S. Election. | Federico Cinus, Marco Minici, Luca Luceri, Emilio Ferrara |