| 2026 | Controllable Graph Generation with Diffusion Models via Inference-Time Tree Search Guidance. | Jiachi Zhao, Zehong Wang, Yamei Liao, Chuxu Zhang, Yanfang Ye |
| 2026 | Towards Graph Foundation Model: Node Feature Transfer Invariant Modeling on General Graphs. | Jitao Zhao, Yi Wang, Yawen Li, Dongxiao He, Di Jin, Zhiyong Feng, Weixiong Zhang |
| 2026 | Meteor: High-Performance Control Message Delivery for Large-Scale Clouds. | Gongming Zhao, Baoqing Wang, Min Chen, Hongli Xu, Jiawei Liu, Xuwei Yang, Liguang Xie, Yongqiang Yang, Ying Xiong |
| 2026 | COINS: Semantic Ids Enhanced Cold Item Representation for Click-through Rate Prediction in E-commerce Search. | Qihang Zhao, Zhongbo Sun, Xiaoyang Zheng, Xian Guo, Siyuan Wang, Zihan Liang, Mingcan Peng, Ben Chen, Chenyi Lei |
| 2026 | DyMRL: Dynamic Multispace Representation Learning for Multimodal Event Forecasting in Knowledge Graph. | Feng Zhao, Kangzheng Liu, Teng Peng, Yu Yang, Guandong Xu |
| 2026 | QChunker: Learning Question-Aware Text Chunking for Domain RAG via Multi-Agent Debate. | Jihao Zhao, Daixuan Li, Pengfei Li, Shuaishuai Zu, Biao Qin, Hongyan Liu |
| 2026 | Concept Relationship Embedding-Based Interactive Web Application for Explainable Medical Diagnosis. | Lei Zhao, Xingguo Lv, Qika Lin, Kaize Shi, Xiaoming Qi, Bin Pu, Kenli Li |
| 2026 | Unequal Vulnerability: The Differential Impact of Label Flipping Attacks Across Classes. | Pinlong Zhao, Mengyang Li, Pengfei Jiao, Huijun Tang, Ou Wu |
| 2026 | Cardinality is Not Enough: Super Host Detection via Segmented Cardinality Estimation. | Yilin Zhao, Jiawei Huang, Xianshi Su, Weihe Li, Xin Li, Yan Liu, Jiacheng Xie, Qichen Su, Jin Ye, Wanchun Jiang, Jianxin Wang |
| 2026 | GIANT: Structure-Agnostic Practical Adversarial Attacks for Graph-based Network Intrusion Detection Systems. | Jianjin Zhao, Dongqi Han, Chao Ma, Qi Li, Zhiwei Cui, Hongliang Zhu, Hua Zhang, Mingshu He, Yijun Lu, Jiong Dong, Yuyin Ma, Meng Shen |
| 2026 | CIDC: Cluster Identification-Guided Dual Correction for Robust Short Text Clustering. | Yuhua Zhao, Zhixin Han, Xuan Li, Peiyu Xu, Hang Gao, Mengting Hu, Tiegang Gao |
| 2026 | Communication-Efficient Federated Learning for Post-Flood Risk Assessment Using UAV Swarms. | Yongkang Zhao, Hailin Feng, Tingting Wang, Thippa Reddy Gadekallu, Kai Fang, Wei Wang |
| 2026 | Breaking Cross-modal Alignment in Embodied Intelligence: A Multimodal Adversarial Attack Framework for Vision-Language-Action Models. | Zhihui Zhao, Xiaorong Dong, Yaowen Zheng, Xiaohui Chen, Yimo Ren, Hangbei Cheng, Yongle Chen, Limin Sun |
| 2026 | Robust LLM-Based Website Fingerprinting under Dynamic Real-World Conditions. | Xiyuan Zhao, Xinhao Deng, Tianyu Cui, Yixiang Zhang, Ke Xu, Qi Li |
| 2026 | The More You Say, the More You Risk: Ethical Concerns in Large Language Model Reasoning Frameworks. | Jinman Zhao, Linbo Cao, Xueyan Zhang, Ken Shi, Yining Wang, Gerald Penn |
| 2026 | The Double-Edged Sword of Knowledge Transfer: Diagnosing and Curing Fairness Pathologies in Cross-Domain Recommendation. | Yuhan Zhao, Weixin Chen, Li Chen, Weike Pan |
| 2026 | CC-OR-Net: A Unified Framework for LTV Prediction through Structural Decoupling. | Mingyu Zhao, Haoran Bai, Yu Tian, Bing Zhu, Hengliang Luo |
| 2026 | SPGCL: Subgraph Pattern-Aware Graph Contrastive Learning for High-Order Structural Representation. | Zhe Zhan, Xiangshi Li, Tingting Wang, Shuo Yu, Henan Lei |
| 2026 | Guiding Generative Recommender Systems with Structured Human Priors via Multi-head Decoding. | Yunkai Zhang, Qiang Zhang, Diji Yang, Ryan Lin, Ruizhong Qiu, Benyu Zhang, Hanchao Yu, Jason Liu, Yinglong Xia, Zhuokai Zhao, Lizhu Zhang, Xiangjun Fan, Zhuoran Yu, Abhishek Kumar, Zeyu Zheng |
| 2026 | CLGNN: A Contrastive Learning-based GNN for Temporal Betweenness Prediction under Extreme Value Imbalance. | Tianming Zhang, Renbo Zhang, Zhengyi Yang, Yunjun Gao, Bin Cao, Jing Fan |
| 2026 | FRiskGPT: A Generative Foundation Model for Financial Risk Detection. | Zhongjian Zhang, Mengmei Zhang, Dehua Xu, Rongjun Shi, Jianfeng Liu, Fuli Meng, Huajian Xu, Xiao Wang, Ruijia Wang, Junze Chen, Minwei Tang, Chuan Shi |
| 2026 | Expectation-Guided Self-Verification for Aligning Large Reasoning Models with Domain Knowledge. | Han Zhang, Chen Zhao, Shasha Wang, Gang Chen, Chenghong Zhang |
| 2026 | Navigating Truth in Multimodal Fact-checking via Retrieval- and Reasoning-Enhanced Large Language Models. | Fanrui Zhang, Qiang Zhang, Jianwen Sun, Chuanhao Li, Jiaxin Ai, Yukang Feng, Zizhen Li, Kaipeng Zhang, Jiawei Liu, Zheng-Jun Zha |
| 2026 | Less is More: Compact Clue Selection for Efficient Retrieval-Augmented Generation Reasoning. | Qianchi Zhang, Hainan Zhang, Liang Pang, Yongxin Tong, Hongwei Zheng, Zhiming Zheng |
| 2026 | Multimodal-enhanced Federated Recommendation: A Group-wise Fusion Approach. | Chunxu Zhang, Weipeng Zhang, Guodong Long, Zhiheng Xue, Riting Xia, Bo Yang |