Carrier Waveform Predistortion Technology for Nonlinear Devices. - Feng Zhou 019; Rui Ji; Jinglu Sun; Xiuhua Yuan; Peiyan Zhang; Dan Mu (ICCT, 2020)

Word Shape Matters: Robust Machine Translation with Visual Embedding. - Haohan Wang; Peiyan Zhang; Eric P. Xing (CoRR, 2020)

A Roadside Unit EIRP Measurement Method Based on Very Near Field Scanning. - Rui Ji; Feng Zhou 019; Lei Wang; Shaogeng An; Xiuhua Yuan; Dan Mu; Peiyan Zhang (ICCT, 2021)

Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation. - Jiayan Guo; Peiyan Zhang; Chaozhuo Li; Xing Xie 001; Yan Zhang; Sunghun Kim 001 (CIKM, 2022)

AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation. - Juyong Jiang; Peiyan Zhang; Yingtao Luo; Chaozhuo Li; Jae Boum Kim; Kai Zhang 038; Senzhang Wang; Xing Xie 001; Sunghun Kim 001 (CIKM, 2023)

A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking. - Hao Yan 004; Chaozhuo Li; Ruosong Long; Chao Yan 004; Jianan Zhao 002; Wenwen Zhuang; Jun Yin 005; Peiyan Zhang; Weihao Han; Hao Sun 015; Weiwei Deng; Qi Zhang 066; et al. (NeurIPS, 2023)

Continual Learning on Dynamic Graphs via Parameter Isolation. - Peiyan Zhang; Yuchen Yan; Chaozhuo Li; Senzhang Wang; Xing Xie 001; Guojie Song; Sunghun Kim 001 (SIGIR, 2023)

Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network. - Peiyan Zhang; Jiayan Guo; Chaozhuo Li; Yueqi Xie; Jaeboum Kim; Yan Zhang; Xing Xie 001; Haohan Wang; Sunghun Kim 001 (WSDM, 2023)

Research on the Influence of Mechanical Vibration on Radio Wave Propagation. - Feng Zhou 019; Jinglu Sun; Mingchao Han; Peiyan Zhang; Guoliang Sun; Rui Ji; Jianwei Li; Shuqiang Ji; Fanyang Cheng (IEEE Access, 2023)

A Survey on Incremental Update for Neural Recommender Systems. - Peiyan Zhang; Sunghun Kim 001 (CoRR, 2023)

Can Transformer and GNN Help Each Other? - Peiyan Zhang; Yuchen Yan; Chaozhuo Li; Senzhang Wang; Xing Xie 001; Sunghun Kim 001 (CoRR, 2023)

Exploring Recommendation Capabilities of GPT-4V(ision): A Preliminary Case Study. - Peilin Zhou; Meng Cao 002; You-Liang Huang; Qichen Ye; Peiyan Zhang; Junling Liu; Yueqi Xie; Yining Hua; Jaeboum Kim (CoRR, 2023)

Beyond Pixels: Exploring Human-Readable SVG Generation for Simple Images with Vision Language Models. - Tong Zhang; Haoyang Liu 001; Peiyan Zhang; Yuxuan Cheng; Haohan Wang (CoRR, 2023)

Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models. - Peiyan Zhang; Haoyang Liu 001; Chaozhuo Li; Xing Xie 001; Sunghun Kim 001; Haohan Wang (ICLR, 2024)

TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems. - Peiyan Zhang; Yuchen Yan; Xi Zhang 008; Chaozhuo Li; Senzhang Wang; Feiran Huang; Sunghun Kim 001 (SIGIR, 2024)

GPT4Rec: Graph Prompt Tuning for Streaming Recommendation. - Peiyan Zhang; Yuchen Yan; Xi Zhang 008; Liying Kang; Chaozhuo Li; Feiran Huang; Senzhang Wang; Sunghun Kim 001 (SIGIR, 2024)

Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective. - Yuchen Yan; Peiyan Zhang; Zheng Fang 007; Qingqing Long (WWW, 2024)

High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text Attributed Graphs. - Peiyan Zhang; Chaozhuo Li; Liying Kang; Feiran Huang; Senzhang Wang; Xing Xie 001; Sunghun Kim 001 (WWW, 2024)

JailbreakZoo: Survey, Landscapes, and Horizons in Jailbreaking Large Language and Vision-Language Models. - Haibo Jin; Leyang Hu; Xinuo Li; Peiyan Zhang; Chonghan Chen; Jun Zhuang; Haohan Wang (CoRR, 2024)

When Graph meets Multimodal: Benchmarking on Multimodal Attributed Graphs Learning. - Hao Yan 004; Chaozhuo Li; Zhigang Yu; Jun Yin 005; Ruochen Liu 001; Peiyan Zhang; Weihao Han; Mingzheng Li; Zhengxin Zeng; Hao Sun 015; Weiwei Deng; Feng Sun 008; et al. (CoRR, 2024)

Revolve: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization. - Peiyan Zhang; Haibo Jin; Leyang Hu; Xinnuo Li; Liying Kang; Man Luo; Yangqiu Song; Haohan Wang (CoRR, 2024)

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems. - Bang Liu; Xinfeng Li; Jiayi Zhang; Jinlin Wang; Tanjin He; Sirui Hong; Hongzhang Liu; Shaokun Zhang; Kaitao Song; Kunlun Zhu; Yuheng Cheng; Suyuchen Wang; et al. (CoRR, 2025)

Reasoning Can Hurt the Inductive Abilities of Large Language Models. - Haibo Jin; Peiyan Zhang; Man Luo; Haohan Wang (CoRR, 2025)

From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models. - Haibo Jin; Peiyan Zhang; Peiran Wang; Man Luo; Haohan Wang (CoRR, 2025)

Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation With Pre-Training. - Juyong Jiang; Peiyan Zhang; Yingtao Luo; Chaozhuo Li; Jae Boum Kim; Kai Zhang 038; Senzhang Wang; Sunghun Kim 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2025)

GuardVal: Dynamic Large Language Model Jailbreak Evaluation for Comprehensive Safety Testing. - Peiyan Zhang; Haibo Jin; Liying Kang; Haohan Wang (CoRR, 2025)

A cooperative dynamic target search approach for multi-UAV systems utilizing the MAPPO algorithm. - Peiyan Zhang; Guodong Li (Discov. Artif. Intell., 2025)