| 2025 | Interpretable Word Representation Learning Framework for Modeling Semantic Relevance in E-commerce. | Haoyue Zhang, Zhiyuan Zeng, Guoliang Zhang, Hui Zhao, Tianshu Wu, Pengjie Wang, Jian Xu, Bo Zheng, Baolin Liu |
| 2025 | LLM-Based Keyphrase-Augmented Framework for Semantic Relevance Assessment in E-Commerce. | Guoliang Zhang, Gang Zhao, Zhiyuan Zeng, Songyan Liu, Haoyue Zhang, Hui Zhao, Tianshu Wu, PengjieWang, Jian Xu, Bo Zheng, Baolin Liu |
| 2025 | RAP: Random Projection is What You Need for Vertical Federated Learning. | Qinbo Zhang, Xiao Yan, Yukai Ding, Fangcheng Fu, Chuang Hu, Quanqing Xu, Xu Chen, Jiawei Jiang |
| 2025 | An Evaluation Framework for Long-Tail Senses in Large Language Models and Word Sense Disambiguation. | Junwei Zhang, Tianheng Wang, Tao Huang, Yupeng Zhang, Pengju Yan, Xiaolin Li |
| 2025 | Annotating Table Metadata with Knowledge-Enhanced Pre-Trained Language Model. | Qiyuan Zhang, Yuhua Tang, Jinlong Tian, Mengmeng Li, Xudong Fang |
| 2025 | Design and Implementation of Decentralized Data Protection Protocol for Generative AI. | Bingxue Zhang, Yang Shi, Feida Zhu, Wang-Chien Lee |
| 2025 | Learning Distance-Aware Space Partitions for Approximate Nearest Neighbor Search. | Zhenyu Zhang, Junlin Shang, Kailing Li, Jiannan Li, Mengqi Tian, Xiaoling Wang |
| 2025 | Tuning Vision-Language Models with Candidate Labels by Prompt Alignment. | Zhifang Zhang, Yuwei Niu, Xin Liu, Beibei Li |
| 2025 | SCRA-VQA: Summarized Caption-Rerank for Augmented Large Language Models in Visual Question Answering. | Yan Zhang, Jiaqing Lin, Miao Zhang, Kui Xiao, Xiaoju Hou, Yue Zhao, Zhifei Li |
| 2025 | InC: A Vertical Federated Learning Framework with Multiple Noisy Labels. | Ruixuan Zhang, Ziyi Li, Xiao Yan, Xiaokai Zhou, Hao Wang, Hao Huang, Jiawei Jiang |
| 2025 | Emotion-Based Conversational Recommendation by Inferring Implicit Users' Preferences from Their Subjective Claims. | Xuanming Zhang, Yonghe Lu, Jianxing Yu, Huaijie Zhu, Wei Liu, Wenqing Chen, Jian Yin |
| 2025 | Enhancing Explanations of Graph Neural Networks via Bridging Model-Level and Instance-Level Explainers. | Youmin Zhang, Qun Liu, Guoyin Wang, Lili Yang, Li Liu |
| 2025 | HHGCN-DrugRec: Hierarchical HyperGraph Convolution Network for Drug Combination Recommendation. | Zihan Zhang, Hongzhi Liu, Tianqi Sun, Xiaoshuang Guo, Zhonghai Wu |
| 2025 | Dual-Path Transformer: Aligning Text Embeddings with Market Movements for a New Paradigm of Cross-Modal Financial Time Series Prediction. | Haohan Zhang, Hao Kong, Saizhuo Wang |
| 2025 | FlexPie: Accelerate Distributed Inference on Edge Devices with Flexible Combinatorial Optimization. | Runhua Zhang, Hongxu Jiang, Jinkun Geng, Yuhang Ma, Chenhui Zhu, Haojie Wang |
| 2025 | REKGC: Learning Re-coupled Representations for Knowledge Graph Completion. | Qingyu Zhang, Min Hu, Wenlong Fei, Xiaohua Wang, Hongbo Li |
| 2025 | Grayscale Image-Based Top-k Spatial Dataset Search Processing. | Mingyue Zhang, Hua Dai, Pengyue Li, Sheng Wang, Bohan Li, Hao Zhou, Geng Yang |
| 2025 | Information-Agnostic Model Poisoning Attacks Against Byzantine-Robust Federated Learning. | Yan Zhang, Yueyao Chen, Xiao Tan, Dian Shen, Meng Wang, Beilun Wang |
| 2025 | T 3SVFND: Towards an Evolving Fake News Detector for Emergencies with Test-Time Training on Short Video Platforms. | Liyuan Zhang, Zeyun Cheng, Zhongyan Gui, Yan Yang, Yong Liu, Jinke Ma |
| 2025 | KMMN: Knowledge Enhanced Multimodal Multi-grained Network for Fake News Detection. | Liyuan Zhang, Zeyun Cheng, Zhongyan Gui, Yan Yang, Yong Liu |
| 2025 | GraphCBAL-Sys: A Class-Balanced Active Learning System for Graphs. | Chengcheng Yu, Wenqian Zhou, Jiahui Wang, Fangshu Chen, Jiapeng Zhu, Xiang Li |
| 2025 | Compress Time Series with Smaller Error Tolerances. | Juntao Yu, Fangyu Wu, Huanyu Zhao, Shiting Wen, Tongliang Li, Chaoyi Pang |
| 2025 | Towards Confidential and Efficient LLM Inference with Dual Privacy Protection. | Honglan Yu, Yibin Wang, Feifei Dai, Dong Liu, Haihui Fan, Xiaoyan Gu |
| 2025 | Asking Diversified Reasonable Questions with External Commonsense Knowledge to Infer Inconsistency for Multi-modal Clickbait Detection. | Jianxing Yu, Shiqi Wang, Qi Chen, Huaijie Zhu, Libin Zheng, Wenqing Chen, Jian Yin |
| 2025 | CausalScaler: A Causality-Driven Autoscaling Framework for the Cloud. | Zhemeng Yu, Yang Luo, Yucen Gao, Yinbo Sun, Xiaofeng Gao, Lintao Ma, Guihai Chen |