Peiyan Zhang - RankMe

38 papers A* 8A 3Journal 25Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Controlling Output Rankings in Generative Engines for LLM-based Search. CoRR Haibo Jin, Ruoxi Chen, Peiyan Zhang, Yifeng Luo, Huimin Zeng, Man Luo, Haohan Wang
2025	J	`jnl`	A cooperative dynamic target search approach for multi-UAV systems utilizing the MAPPO algorithm. Discov. Artif. Intell. Peiyan Zhang, Guodong Li
2025	J	`jnl`	Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems. CoRR Bang Liu, Xinfeng Li, Jiayi Zhang, Jinlin Wang, Tanjin He, Sirui Hong, Hongzhang Liu, Shaokun Zhang, Kaitao Song, Kunlun Zhu, Yuheng Cheng, Suyuchen Wang, Xiaoqiang Wang, Yuyu Luo, Haibo Jin, Peiyan Zhang, Ollie Liu, Jiaqi Chen, Huan Zhang, Zhaoyang Yu, Haochen Shi, Boyan Li, Dekun Wu, Fengwei Teng, Xiaojun Jia, Jiawei Xu, Jinyu Xiang, Yizhang Lin, Tianming Liu, Tongliang Liu, Yu Su, Huan Sun, Glen Berseth, Jianyun Nie, Ian T. Foster, Logan T. Ward, Qingyun Wu, Yu Gu, Mingchen Zhuge, Xiangru Tang, Haohan Wang, Jiaxuan You, Chi Wang, Jian Pei, Qiang Yang, Xiaoliang Qi, Chenglin Wu
2025	J	`jnl`	Advancing Session-Based Recommendations with Atten-Mixer+: Dynamic and Adaptive Multi-Level Intent Mining. ACM Trans. Intell. Syst. Technol. Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Liying Kang, Jaeboum Kim, Jie Xu, Xi Zhang, Yan Zhang, Haohan Wang, Sunghun Kim
2025	J	`jnl`	From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models. CoRR Haibo Jin, Peiyan Zhang, Peiran Wang, Man Luo, Haohan Wang
2025	J	`jnl`	GUARD: Guideline Upholding Test through Adaptive Role-play and Jailbreak Diagnostics for LLMs. CoRR Haibo Jin, Ruoxi Chen, Peiyan Zhang, Andy Zhou, Yang Zhang, Haohan Wang
2025	J	`jnl`	GuardVal: Dynamic Large Language Model Jailbreak Evaluation for Comprehensive Safety Testing. CoRR Peiyan Zhang, Haibo Jin, Liying Kang, Haohan Wang
2025	J	`jnl`	Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation With Pre-Training. IEEE Trans. Knowl. Data Eng. Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Sunghun Kim, Philip S. Yu
2025	J	`jnl`	Reasoning Can Hurt the Inductive Abilities of Large Language Models. CoRR Haibo Jin, Peiyan Zhang, Man Luo, Haohan Wang
2025	A*	`conf`	Revolve: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization. ICML Peiyan Zhang, Haibo Jin, Leyang Hu, Xinnuo Li, Liying Kang, Man Luo, Yangqiu Song, Haohan Wang
2024	A*	`conf`	Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models. ICLR Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang
2024	A*	`conf`	GPT4Rec: Graph Prompt Tuning for Streaming Recommendation. SIGIR Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li, Feiran Huang, Senzhang Wang, Sunghun Kim
2024	J	`jnl`	GPT4Rec: Graph Prompt Tuning for Streaming Recommendation. CoRR Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li, Feiran Huang, Senzhang Wang, Sunghun Kim
2024	A*	`conf`	High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text Attributed Graphs. WWW Peiyan Zhang, Chaozhuo Li, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim
2024	J	`jnl`	High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text-attributed Graphs. CoRR Peiyan Zhang, Chaozhuo Li, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim
2024	A*	`conf`	Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective. WWW Yuchen Yan, Peiyan Zhang, Zheng Fang, Qingqing Long
2024	J	`jnl`	Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective. CoRR Yuchen Yan, Peiyan Zhang, Zheng Fang, Qingqing Long
2024	J	`jnl`	JailbreakZoo: Survey, Landscapes, and Horizons in Jailbreaking Large Language and Vision-Language Models. CoRR Haibo Jin, Leyang Hu, Xinuo Li, Peiyan Zhang, Chonghan Chen, Jun Zhuang, Haohan Wang
2024	J	`jnl`	Revolve: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization. CoRR Peiyan Zhang, Haibo Jin, Leyang Hu, Xinnuo Li, Liying Kang, Man Luo, Yangqiu Song, Haohan Wang
2024	A*	`conf`	TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems. SIGIR Peiyan Zhang, Yuchen Yan, Xi Zhang, Chaozhuo Li, Senzhang Wang, Feiran Huang, Sunghun Kim
2024	J	`jnl`	When Graph meets Multimodal: Benchmarking on Multimodal Attributed Graphs Learning. CoRR Hao Yan, Chaozhuo Li, Zhigang Yu, Jun Yin, Ruochen Liu, Peiyan Zhang, Weihao Han, Mingzheng Li, Zhengxin Zeng, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Senzhang Wang
2023	A*	`conf`	A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking. NeurIPS 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
2023	J	`jnl`	A Survey on Incremental Update for Neural Recommender Systems. CoRR Peiyan Zhang, Sunghun Kim
2023	A	`conf`	AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation. CIKM Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Xing Xie, Sunghun Kim
2023	J	`jnl`	Beyond Pixels: Exploring Human-Readable SVG Generation for Simple Images with Vision Language Models. CoRR Tong Zhang, Haoyang Liu, Peiyan Zhang, Yuxuan Cheng, Haohan Wang
2023	J	`jnl`	Can Transformer and GNN Help Each Other? CoRR Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Sunghun Kim
2023	A*	`conf`	Continual Learning on Dynamic Graphs via Parameter Isolation. SIGIR Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim
2023	J	`jnl`	Continual Learning on Dynamic Graphs via Parameter Isolation. CoRR Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim
2023	A	`conf`	Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network. WSDM Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim
2023	J	`jnl`	Exploring Recommendation Capabilities of GPT-4V(ision): A Preliminary Case Study. CoRR Peilin Zhou, Meng Cao, You-Liang Huang, Qichen Ye, Peiyan Zhang, Junling Liu, Yueqi Xie, Yining Hua, Jaeboum Kim
2023	J	`jnl`	Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models. CoRR Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang
2023	J	`jnl`	Research on the Influence of Mechanical Vibration on Radio Wave Propagation. IEEE Access Feng Zhou, Jinglu Sun, Mingchao Han, Peiyan Zhang, Guoliang Sun, Rui Ji, Jianwei Li, Shuqiang Ji, Fanyang Cheng
2022	J	`jnl`	Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network. CoRR Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim
2022	A	`conf`	Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation. CIKM Jiayan Guo, Peiyan Zhang, Chaozhuo Li, Xing Xie, Yan Zhang, Sunghun Kim
2022	J	`jnl`	Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation. CoRR Jiayan Guo, Peiyan Zhang, Chaozhuo Li, Xing Xie, Yan Zhang, Sunghun Kim
2021	—	`conf`	A Roadside Unit EIRP Measurement Method Based on Very Near Field Scanning. ICCT Rui Ji, Feng Zhou, Lei Wang, Shaogeng An, Xiuhua Yuan, Dan Mu, Peiyan Zhang
2020	—	`conf`	Carrier Waveform Predistortion Technology for Nonlinear Devices. ICCT Feng Zhou, Rui Ji, Jinglu Sun, Xiuhua Yuan, Peiyan Zhang, Dan Mu
2020	J	`jnl`	Word Shape Matters: Robust Machine Translation with Visual Embedding. CoRR Haohan Wang, Peiyan Zhang, Eric P. Xing