| 2026 | ACL | Logic Jailbreak: Efficiently Unlocking LLM Safety Restrictions Through Formal Logical Expression. | Jingyu Peng, Maolin Wang, Nan Wang, Jiatong Li, Yuchen Li, Yuyang Ye, Wanyu Wang, Pengyue Jia, Kai Zhang, Xiangyu Zhao |
| 2026 | DASFAA | FlowRec: Prior-Informed Flow Matching for Efficient Sequential Recommendation Generation. | Li Li, Mingyue Cheng, Yuyang Ye, Zhiding Liu, Enhong Chen |
| 2026 | KDD | Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent. | Haocheng Yu, Yaxiong Wu, Hao Wang, Wei Guo, Yong Liu, Yawen Li, Yuyang Ye, Junping Du, Enhong Chen |
| 2026 | WWW | BlossomRec: Block-level Fused Sparse Attention Mechanism for Sequential Recommendations. | Mengyang Ma, Xiaopeng Li, Wanyu Wang, Zhaocheng Du, Jingtong Gao, Pengyue Jia, Yuyang Ye, Yiqi Wang, Yunpeng Weng, Weihong Luo, Xiao Han, Xiangyu Zhao |
| 2026 | WWW | Generative Data Transformation: From Mixed to Unified Data. | Jiaqing Zhang, Mingjia Yin, Hao Wang, Yuxin Tian, Yuyang Ye, Yawen Li, Wei Guo, Yong Liu, Enhong Chen |
| 2025 | AAAI | Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation. | Yuyang Ye, Zhi Zheng, Yishan Shen, Tianshu Wang, Hengruo Zhang, Peijun Zhu, Runlong Yu, Kai Zhang, Hui Xiong |
| 2025 | AAAI | Adaptive Multimodal Fusion: Dynamic Attention Allocation for Intent Recognition. | Bo Hu, Kai Zhang, Yanghai Zhang, Yuyang Ye |
| 2025 | ACL | UniRAG: Unified Query Understanding Method for Retrieval Augmented Generation. | Rui Li, Liyang He, Qi Liu, Zheng Zhang, Heng Yu, Yuyang Ye, Linbo Zhu, Yu Su |
| 2025 | DAC | Rank-based Multi-objective Approximate Logic Synthesis via Monte Carlo Tree Search. | Yuyang Ye, Xiangfei Hu, Yuchen Liu, Peng Xu, Yu Gong, Tinghuan Chen, Hao Yan, Bei Yu, Longxing Shi |
| 2025 | DAC | Truly Pre-Routing Timing Prediction via Considering Power Delivery Network. | Yuyang Ye, Mingwei He, Lizheng Ren, Jianwang Zhai, Tinghuan Chen, Jun Yang, Longxing Shi |
| 2025 | DATE | Timing-Driven Approximate Logic Synthesis Based on Double-Chase Grey Wolf Optimizer. | Xiangfei Hu, Yuyang Ye, Tinghuan Chen, Hao Yan, Bei Yu |
| 2025 | ICML | SAFER: A Calibrated Risk-Aware Multimodal Recommendation Model for Dynamic Treatment Regimes. | Yishan Shen, Yuyang Ye, Hui Xiong, Yong Chen |
| 2025 | IJCAI | Decoupling and Reconstructing: A Multimodal Sentiment Analysis Framework Towards Robustness. | Mingzheng Yang, Kai Zhang, Yuyang Ye, Yanghai Zhang, Runlong Yu, Min Hou |
| 2025 | WWW | FuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer. | Yufei Ye, Wei Guo, Jin Yao Chin, Hao Wang, Hong Zhu, Xi Lin, Yuyang Ye, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen |
| 2025 | WWW | TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation. | Jiaqing Zhang, Mingjia Yin, Hao Wang, Yawen Li, Yuyang Ye, Xingyu Lou, Junping Du, Enhong Chen |
| 2024 | ASPDAC | Heterogeneous Graph Attention Network Based Statistical Timing Library Characterization with Parasitic RC Reduction. | Xu Cheng, Yuyang Ye, Guoqing He, Qianqian Song, Peng Cao |
| 2024 | ASPDAC | An Optimization-aware Pre-Routing Timing Prediction Framework Based on Heterogeneous Graph Learning. | Guoqing He, Wenjie Ding, Yuyang Ye, Xu Cheng, Qianqian Song, Peng Cao |
| 2024 | ASPDAC | ARS-Flow: A Design Space Exploration Flow for Accelerator-rich System based on Active Learning. | Shuaibo Huang, Yuyang Ye, Hao Yan, Longxing Shi |
| 2024 | CIKM | LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation. | Yuhao Wang, Yichao Wang, Zichuan Fu, Xiangyang Li, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Huifeng Guo, Ruiming Tang |
| 2024 | CIKM | Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models. | Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Enhong Chen, Yefeng Zheng |
| 2024 | DATE | A Graph-Learning-Driven Prediction Method for Combined Electromigration and Thermomigration Stress on Multi-Segment Interconnects. | Yunfan Zuo, Yuyang Ye, Hongchao Zhang, Tinghuan Chen, Hao Yan, Longxing Shi |
| 2024 | ICCAD | RankTuner: When Design Tool Parameter Tuning Meets Preference Bayesian Optimization. | Peng Xu, Su Zheng, Yuyang Ye, Chen Bai, Siyuan Xu, Hao Geng, Tsung-Yi Ho, Bei Yu |
| 2024 | KDD | PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization. | Yuyang Ye, Lu-An Tang, Haoyu Wang, Runlong Yu, Wenchao Yu, Erhu He, Haifeng Chen, Hui Xiong |
| 2023 | ASPDAC | Graph-Learning-Driven Path-Based Timing Analysis Results Predictor from Graph-Based Timing Analysis. | Yuyang Ye, Tinghuan Chen, Yifei Gao, Hao Yan, Bei Yu, Longxing Shi |
| 2023 | DATE | Fast and Accurate Wire Timing Estimation Based on Graph Learning. | Yuyang Ye, Tinghuan Chen, Yifei Gao, Hao Yan, Bei Yu, Longxing Shi |
| 2023 | ICDE | Collaborative List-and-Pairwise Filtering from Implicit Feedback : Extended Abstract. | Runlong Yu, Qi Liu, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma |
| 2023 | KDD | Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate Prediction. | Runlong Yu, Xiang Xu, Yuyang Ye, Qi Liu, Enhong Chen |
| 2021 | PAKDD | XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction. | Runlong Yu, Yuyang Ye, Qi Liu, Zihan Wang, Chunfeng Yang, Yucheng Hu, Enhong Chen |
| 2019 | ICDM | Identifying High Potential Talent: A Neural Network Based Dynamic Social Profiling Approach. | Yuyang Ye, Hengshu Zhu, Tong Xu, Fuzhen Zhuang, Runlong Yu, Hui Xiong |
| 2018 | CIKM | Multiple Pairwise Ranking with Implicit Feedback. | Runlong Yu, Yunzhou Zhang, Yuyang Ye, Le Wu, Chao Wang, Qi Liu, Enhong Chen |
| 2018 | IJCAI | Patent Litigation Prediction: A Convolutional Tensor Factorization Approach. | Qi Liu, Han Wu, Yuyang Ye, Hongke Zhao, Chuanren Liu, Dongfang Du |
| 2016 | ICDM | Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation. | Defu Lian, Yuyang Ye, Wenya Zhu, Qi Liu, Xing Xie, Hui Xiong |