| 2026 | ACL | FastV-RAG: Towards Fast and Fine-Grained Video QA with Retrieval-Augmented Generation. | Gen Li, Peiyu Liu |
| 2026 | ACL | Squrve: A Unified and Modular Framework for Complex Real-World Text-to-SQL Tasks. | Yihan Wang, Peiyu Liu, Runyu Chen, Jiaxing Pu, Wei Xu |
| 2026 | ACL | LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams. | Yongxuan Wu, Runyu Chen, Peiyu Liu, Hongjin Qian |
| 2026 | ACL | Selective Knowledge Distillation: Fusing LLM Semantic Strengths with DNN Efficiency for Binary Code Similarity Detection. | Shize Zhou, Peiyu Liu, Lirong Fu, Tong Ye, Wenhai Wang |
| 2025 | ACL | Masks Can be Learned as an Alternative to Experts. | Peiyu Liu, Tianwen Wei, Bo Zhu, Xin Zhao, Shuicheng Yan |
| 2025 | ACL | Socratic Style Chain-of-Thoughts Help LLMs to be a Better Reasoner. | Jiangbo Pei, Peiyu Liu, Xin Zhao, Aidong Men, Yang Liu |
| 2025 | COLING | Intent Contrastive Learning Based on Multi-view Augmentation for Sequential Recommendation. | Bo Pei, Yingzheng Zhu, Guangjin Wang, Huajuan Duan, Wenya Wu, Fuyong Xu, Yizhao Zhu, Peiyu Liu, Ran Lu |
| 2025 | EMNLP | LinkAlign: Scalable Schema Linking for Real-World Large-Scale Multi-Database Text-to-SQL. | Yihan Wang, Peiyu Liu, Xin Yang |
| 2025 | ICASSP | Semantic-Aware Prompt Learning for Multimodal Sarcasm Detection. | Guangjin Wang, Bao Wang, Fuyong Xu, Zhenfang Zhu, Peipei Wang, Ru Wang, Peiyu Liu |
| 2025 | IJCNN | LW-DETR: Vision Transformer-Based Network for Transmission Line Fittings Defect Detection. | Daming Liu, Peiyu Liu |
| 2025 | ISSTA | MQueez: Specification-Driven Fuzzing for MQTT Broker (Registered Report). | Xinpeng Liu, Qinying Wang, Peiyu Liu, Wenhai Wang, Shouling Ji |
| 2025 | PAKDD | DoTA: Weight-Decomposed Tensor Adaptation for Large Language Models. | Xiaolin Hu, Xiang Cheng, Peiyu Liu, Wei Liu, Jian Luan, Bin Wang, Yong Liu |
| 2025 | SP | Firmrca: Towards Post-Fuzzing Analysis on ARM Embedded Firmware with Efficient Event-Based Fault Localization. | Boyu Chang, Binbin Zhao, Qiao Zhang, Peiyu Liu, Yuan Tian, Raheem Beyah, Shouling Ji |
| 2025 | SANER | BinEGA: Enhancing DNN-based Binary Code Similarity Detection through Efficient Graph Alignment. | Shize Zhou, Lirong Fu, Peiyu Liu, Wenhai Wang |
| 2024 | ACL | Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression. | Peiyu Liu, Ze-Feng Gao, Xin Zhao, Yipeng Ma, Tao Wang, Ji-Rong Wen |
| 2024 | CCGRID | CINDA: Don't Ignore Instructions When Cloning Memory Access Behavior. | Wenhai Lin, Yiquan Chen, Jiexiong Xu, Zhen Jin, Peiyu Liu, Shishun Cai, Yuzhong Zhang, Jingchang Qin, Yiquan Lin, Wenzhi Chen |
| 2024 | COLING | Enhancing Parameter-efficient Fine-tuning with Simple Calibration Based on Stable Rank. | Peiyu Liu, Ze-Feng Gao, Xiao Zhang, Wayne Xin Zhao, Ji-Rong Wen |
| 2024 | COLING | Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study. | Peiyu Liu, Zikang Liu, Ze-Feng Gao, Dawei Gao, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen |
| 2024 | COLING | HyperMR: Hyperbolic Hypergraph Multi-hop Reasoning for Knowledge-based Visual Question Answering. | Bin Wang, Fuyong Xu, Peiyu Liu, Zhenfang Zhu |
| 2024 | NAACL | Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization. | Tong Ye, Lingfei Wu, Tengfei Ma, Xuhong Zhang, Yangkai Du, Peiyu Liu, Shouling Ji, Wenhai Wang |
| 2023 | ACL | Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization. | Ze-Feng Gao, Kun Zhou, Peiyu Liu, Wayne Xin Zhao, Ji-Rong Wen |
| 2023 | CSCWD | Community Detection with Graph Convolutional Auto-Encoder and Deep Clustering. | Ru Wang, Peipei Wang, Lin Li, Peiyu Liu |
| 2023 | DASFAA | C | Fuyong Xu, Zhenfang Zhu, Peiyu Liu, Ru Wang |
| 2023 | EMNLP | Enhancing Scalability of Pre-trained Language Models via Efficient Parameter Sharing. | Peiyu Liu, Ze-Feng Gao, Yushuo Chen, Xin Zhao, Ji-Rong Wen |
| 2023 | EMNLP | CP-BCS: Binary Code Summarization Guided by Control Flow Graph and Pseudo Code. | Tong Ye, Lingfei Wu, Tengfei Ma, Xuhong Zhang, Yangkai Du, Peiyu Liu, Shouling Ji, Wenhai Wang |
| 2023 | ESORICS | Static Semantics Reconstruction for Enhancing JavaScript-WebAssembly Multilingual Malware Detection. | Yifan Xia, Ping He, Xuhong Zhang, Peiyu Liu, Shouling Ji, Wenhai Wang |
| 2023 | ICONIP | CACL: Commonsense-Aware Contrastive Learning for Knowledge Graph Completion. | Chuanhao Dong, Fuyong Xu, Yuanying Wang, Peiyu Liu, Liancheng Xu |
| 2023 | IJCNN | Exploiting User Preference in GNN-based Social Recommendation with Contrastive Learning. | Xiufang Liang, Yingzheng Zhu, Huajuan Duan, Fuyong Xu, Peiyu Liu, Ran Lu |
| 2023 | IJCNN | Discriminating Information of Modality Contributions Network by Gating Mechanism and Multi-Task Learning. | Qiongan Zhang, Lei Shi, Peiyu Liu, Liancheng Xu |
| 2023 | KSEM | Multitask-Based Cluster Transmission for Few-Shot Text Classification. | Kaifang Dong, Fuyong Xu, Baoxing Jiang, Hongye Li, Peiyu Liu |
| 2023 | SP | How IoT Re-using Threatens Your Sensitive Data: Exploring the User-Data Disposal in Used IoT Devices. | Peiyu Liu, Shouling Ji, Lirong Fu, Kangjie Lu, Xuhong Zhang, Jingchang Qin, Wenhai Wang, Wenzhi Chen |
| 2023 | WISE | Knowledge-Grounded Dialogue Generation with Contrastive Knowledge Selection. | Bin Wang, Fuyong Xu, Zhenfang Zhu, Peiyu Liu |
| 2022 | COLING | Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models. | Ze-Feng Gao, Peiyu Liu, Wayne Xin Zhao, Zhong-Yi Lu, Ji-Rong Wen |
| 2022 | ICONIP | GCL-KGE: Graph Contrastive Learning for Knowledge Graph Embedding. | Qimeng Guo, Huajuan Duan, Chuanhao Dong, Peiyu Liu, Liancheng Xu |
| 2022 | ICPR | Aspect-based Sentiment Analysis with Graph Convolutional Networks over Dependency Awareness. | Xue Wang, Peiyu Liu, Zhenfang Zhu, Ran Lu |
| 2022 | ICPR | Improving Persona Understanding for Persona-based Dialogue Generation with Diverse Knowledge Selection. | Yuanying Wang, Fuyong Xu, Ru Wang, Zhenfang Zhu, Peiyu Liu, Ran Lu |
| 2022 | ICPR | IMCN: Identifying Modal Contribution Network for Multimodal Sentiment Analysis. | Qiongan Zhang, Lei Shi, Peiyu Liu, Zhenfang Zhu, Liancheng Xu |
| 2022 | IJCNN | Interactive Double Graph Convolutional Networks for Aspect-based Sentiment Analysis. | Xue Wang, Peiyu Liu, Zhenfang Zhu, Ran Lu |
| 2022 | UIC | PAGE: Endowing Dialogue Agents with Personalized Characters via Persona Perception. | Jiaxin Li, Fuyong Xu, Yuanying Wang, Peiyu Liu, Zhenfang Zhu, Jinlong Wang |
| 2022 | UIC | News-SBG: A novel news classification model with delivered label representation. | Yao Tang, Fuyong Xu, Peiyu Liu |
| 2022 | UIC | MGSF: Towards Multi-Graphs Semantic Fusion for Multi-behavior Recommendation. | Yingzheng Zhu, Xiufang Liang, Huajuan Duan, Fuyong Xu, Peiyu Liu, Ran Lu |
| 2021 | ACL | Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators. | Peiyu Liu, Ze-Feng Gao, Wayne Xin Zhao, Zhi-Yuan Xie, Zhong-Yi Lu, Ji-Rong Wen |
| 2021 | CCS | CPscan: Detecting Bugs Caused by Code Pruning in IoT Kernels. | Lirong Fu, Shouling Ji, Kangjie Lu, Peiyu Liu, Xuhong Zhang, Yuxuan Duan, Zihui Zhang, Wenzhi Chen, Yanjun Wu |
| 2021 | ICONIP | Triple Tag Network for Aspect-Level Sentiment Classification. | Guangtao Xu, Peiyu Liu, Zhenfang Zhu, Ru Wang, Fuyong Xu, Dun Jin |
| 2020 | ESORICS | Understanding the Security Risks of Docker Hub. | Peiyu Liu, Shouling Ji, Lirong Fu, Kangjie Lu, Xuhong Zhang, Wei-Han Lee, Tao Lu, Wenzhi Chen, Raheem Beyah |
| 2020 | ICPR | Feature-aware unsupervised learning with joint variational attention and automatic clustering. | Ru Wang, Lin Li, Peipei Wang, Xiaohui Tao, Peiyu Liu |
| 2019 | SEKE | Prudent Practices for Designing Virtual Desktop Experiments. | Peiyu Liu, Wenzhi Chen, Zonghui Wang, Lirong Fu |
| 2018 | CSCWD | Recommendation Algorithm Based on Multi-Label Clustering and Core Users. | Peiyu Liu, Peipei Wang, Ru Wang, Wenfeng Liu |
| 2018 | ICONIP | A Sentence Similarity Model Based on Word Embeddings and Dependency Syntax-Tree. | Wenfeng Liu, Peiyu Liu, Jing Yi, Yuzhen Yang, Weitong Liu, Nana Li |
| 2017 | ICNC | Intrusion detection algorithms based on correlation information entropy and binary particle swarm optimization. | Yan-Fei Wang, Peiyu Liu, Min Ren, Xiao-Xue Chen |
| 2017 | ICNC | A recommendation algorithm based on density peak clustering and key users. | Peipei Wang, Peiyu Liu, Ru Wang, Zhen-fang Zhu |
| 2016 | ICNC | Optimization of fuzzy C-means based on OBL-genetic algorithm. | Xiao Pan, Peiyu Liu, Min Ren, Lin Lv |
| 2016 | ICNC | An improved mixed-type data based kernel clustering algorithm. | Min Ren, Peiyu Liu, Zhihao Wang, Xiao Pan |
| 2012 | CLUSTER | A Node-based Parallel Game Tree Algorithm Using GPUs. | Liang Li, Hong Liu, Peiyu Liu, Taoying Liu, Wei Li, Hao Wang |