Peiyan Zhang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 26

Top Topics

Preference Learning

Query Reformulation

Attributed Graphs

Top Venues

Publications

Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models. ICLR (2024)
Peiyan Zhang, Yuchen Yan, Xi Zhang, Chaozhuo Li, Senzhang Wang, Feiran Huang, Sunghun Kim
TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems. SIGIR (2024)
Haibo Jin, Leyang Hu, Xinuo Li, Peiyan Zhang, Chonghan Chen, Jun Zhuang, Haohan Wang
JailbreakZoo: Survey, Landscapes, and Horizons in Jailbreaking Large Language and Vision-Language Models. CoRR (2024)
Peiyan Zhang, Chaozhuo Li, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim
High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text Attributed Graphs. WWW (2024)
Yuchen Yan, Peiyan Zhang, Zheng Fang, Qingqing Long
Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective. WWW (2024)
Peiyan Zhang, Chaozhuo Li, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim
High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text-attributed Graphs. CoRR (2024)
Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li, Feiran Huang, Senzhang Wang, Sunghun Kim
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation. CoRR (2024)
Yuchen Yan, Peiyan Zhang, Zheng Fang, Qingqing Long
Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective. CoRR (2024)
Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li, Feiran Huang, Senzhang Wang, Sunghun Kim
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation. SIGIR (2024)
Peilin Zhou, Meng Cao, You-Liang Huang, Qichen Ye, Peiyan Zhang, Junling Liu, Yueqi Xie, Yining Hua, Jaeboum Kim
Exploring Recommendation Capabilities of GPT-4V(ision): A Preliminary Case Study. CoRR (2023)
Hao Yan, Chaozhuo Li, Ruosong Long, Chao Yan, Jianan Zhao, Wenwen Zhuang, Jun Yin, Peiyan Zhang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Lichao Sun, Xing Xie, Senzhang Wang
A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking. NeurIPS (2023)
Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Xing Xie, Sunghun Kim
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation. CIKM (2023)
Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim
Continual Learning on Dynamic Graphs via Parameter Isolation. CoRR (2023)
Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network. WSDM (2023)
Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Sunghun Kim
Can Transformer and GNN Help Each Other? CoRR (2023)
Peiyan Zhang, Sunghun Kim
A Survey on Incremental Update for Neural Recommender Systems. CoRR (2023)
Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim
Continual Learning on Dynamic Graphs via Parameter Isolation. SIGIR (2023)
Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models. CoRR (2023)
Feng Zhou, Jinglu Sun, Mingchao Han, Peiyan Zhang, Guoliang Sun, Rui Ji, Jianwei Li, Shuqiang Ji, Fanyang Cheng
Research on the Influence of Mechanical Vibration on Radio Wave Propagation. IEEE Access 11 (2023)
Tong Zhang, Haoyang Liu, Peiyan Zhang, Yuxuan Cheng, Haohan Wang
Beyond Pixels: Exploring Human-Readable SVG Generation for Simple Images with Vision Language Models. CoRR (2023)
Jiayan Guo, Peiyan Zhang, Chaozhuo Li, Xing Xie, Yan Zhang, Sunghun Kim
Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation. CoRR (2022)
Jiayan Guo, Peiyan Zhang, Chaozhuo Li, Xing Xie, Yan Zhang, Sunghun Kim
Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation. CIKM (2022)
Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network. CoRR (2022)
Rui Ji, Feng Zhou, Lei Wang, Shaogeng An, Xiuhua Yuan, Dan Mu, Peiyan Zhang
A Roadside Unit EIRP Measurement Method Based on Very Near Field Scanning. ICCT (2021)
Feng Zhou, Rui Ji, Jinglu Sun, Xiuhua Yuan, Peiyan Zhang, Dan Mu
Carrier Waveform Predistortion Technology for Nonlinear Devices. ICCT (2020)
Haohan Wang, Peiyan Zhang, Eric P. Xing
Word Shape Matters: Robust Machine Translation with Visual Embedding. CoRR (2020)