Zhao, Xiangyu

41 publications

CVPR 2025 Auto Cherry-Picker: Learning from High-Quality Generative Data Driven by Language Yicheng Chen, Xiangtai Li, Yining Li, Yanhong Zeng, Jianzong Wu, Xiangyu Zhao, Kai Chen

ICCV 2025 Creation-MMBench: Assessing Context-Aware Creative Intelligence in MLLMs Xinyu Fang, Zhijian Chen, Kai Lan, Lixin Ma, Shengyuan Ding, Yingji Liang, Xiangyu Zhao, Farong Wen, Zicheng Zhang, Guofeng Zhang, Haodong Duan, Kai Chen, Dahua Lin

IJCAI 2025 DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation Maolin Wang, Tianshuo Wei, Sheng Zhang, Ruocheng Guo, Wanyu Wang, Shanshan Ye, Lixin Zou, Xuetao Wei, Xiangyu Zhao

NeurIPS 2025 Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning Xiao Han, Zimo Zhao, Wanyu Wang, Maolin Wang, Zitao Liu, Yi Chang, Xiangyu Zhao

NeurIPS 2025 Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing Xiangyu Zhao, Peiyuan Zhang, Kexian Tang, Xiaorong Zhu, Hao Li, Wenhao Chai, Zicheng Zhang, Renqiu Xia, Guangtao Zhai, Junchi Yan, Hua Yang, Xue Yang, Haodong Duan

IJCAI 2025 Flow Matching Based Sequential Recommender Model Feng Liu, Lixin Zou, Xiangyu Zhao, Min Tang, Liming Dong, Dan Luo, Xiangyang Luo, Chenliang Li

AAAI 2025 GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching Xiao Han, Zijian Zhang, Xiangyu Zhao, Yuanshao Zhu, Guojiang Shen, Xiangjie Kong, Xuetao Wei, Liqiang Nie, Jieping Ye

ICCV 2025 GenieBlue: Integrating Both Linguistic and Multimodal Capabilities for Large Language Models on Mobile Devices Xudong Lu, Yinghao Chen, Renshou Wu, Haohao Gao, Xi Chen, Xue Yang, Xiangyu Zhao, Aojun Zhou, Fangyuan Li, Yafei Wen, Xiaoxin Chen, Shuai Ren, Hongsheng Li

NeurIPS 2025 GeoRanker: Distance-Aware Ranking for Worldwide Image Geolocalization Pengyue Jia, Seongheon Park, Song Gao, Xiangyu Zhao, Sharon Li

AAAI 2025 Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation Derong Xu, Xinhang Li, Ziheng Zhang, Zhenxi Lin, Zhihong Zhu, Zhi Zheng, Xian Wu, Xiangyu Zhao, Tong Xu, Enhong Chen

AAAI 2025 LLM-Powered User Simulator for Recommender System Zijian Zhang, Shuchang Liu, Ziru Liu, Rui Zhong, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Qidong Liu, Peng Jiang

AAAI 2025 LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation Qidong Liu, Xian Wu, Wanyu Wang, Yejing Wang, Yuanshao Zhu, Xiangyu Zhao, Feng Tian, Yefeng Zheng

ICCV 2025 MM-IFEngine: Towards Multimodal Instruction Following Shengyuan Ding, Shenxi Wu, Xiangyu Zhao, Yuhang Zang, Haodong Duan, Xiaoyi Dong, Pan Zhang, Yuhang Cao, Dahua Lin, Jiaqi Wang

AAAI 2025 POI-Enhancer: An LLM-Based Semantic Enhancement Framework for POI Representation Learning Jiawei Cheng, Jingyuan Wang, Yichuan Zhang, Jiahao Ji, Yuanshao Zhu, Zhibo Zhang, Xiangyu Zhao

NeurIPS 2025 Process vs. Outcome Reward: Which Is Better for Agentic RAG Reinforcement Learning Wenlin Zhang, Xiangyang Li, Kuicai Dong, Yichao Wang, Pengyue Jia, Xiaopeng Li, Yingyi Zhang, Derong Xu, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Xiangyu Zhao

AAAI 2025 SIGMA: Selective Gated Mamba for Sequential Recommendation Ziwei Liu, Qidong Liu, Yejing Wang, Wanyu Wang, Pengyue Jia, Maolin Wang, Zitao Liu, Yi Chang, Xiangyu Zhao

NeurIPS 2025 UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces Yuanshao Zhu, James Jianqiao Yu, Xiangyu Zhao, Xun Zhou, Liang Han, Xuetao Wei, Yuxuan Liang

ICLR 2025 WeatherGFM: Learning a Weather Generalist Foundation Model via In-Context Learning Xiangyu Zhao, Zhiwang Zhou, Zhangwenlong, Yihao Liu, Xiangyu Chen, Junchao Gong, Hao Chen, Ben Fei, Shiqi Chen, Wanli Ouyang, Xiao-Ming Wu, Lei Bai

NeurIPS 2024 Association of Objects May Engender Stereotypes: Mitigating Association-Engendered Stereotypes in Text-to-Image Generation Junlei Zhou, Jiashi Gao, Xiangyu Zhao, Xin Yao, Xuetao Wei

AAAI 2024 D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations Pengyue Jia, Yichao Wang, Shanru Lin, Xiaopeng Li, Xiangyu Zhao, Huifeng Guo, Ruiming Tang

NeurIPS 2024 Does Egalitarian Fairness Lead to Instability? the Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors Jiashi Gao, Ziwei Wang, Xiangyu Zhao, Xin Yao, Xuetao Wei

IJCAI 2024 Enhancing Length Generalization for Attention Based Knowledge Tracing Models with Linear Biases Xueyi Li, Youheng Bai, Teng Guo, Zitao Liu, Yaying Huang, Xiangyu Zhao, Feng Xia, Weiqi Luo, Jian Weng

NeurIPS 2024 G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models Pengyue Jia, Yiding Liu, Xiaopeng Li, Yuhao Wang, Yantong Du, Xiao Han, Xuetao Wei, Shuaiqiang Wang, Dawei Yin, Xiangyu Zhao

ICML 2024 Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification Xixun Lin, Wenxiao Zhang, Fengzhao Shi, Chuan Zhou, Lixin Zou, Xiangyu Zhao, Dawei Yin, Shirui Pan, Yanan Cao

IJCAI 2024 KDDC: Knowledge-Driven Disentangled Causal Metric Learning for Pre-Travel Out-of-Town Recommendation Yinghui Liu, Guojiang Shen, Chengyong Cui, Zhenzhen Zhao, Xiao Han, Jiaxin Du, Xiangyu Zhao, Xiangjie Kong

NeurIPS 2024 LLM-ESR: Large Language Models Enhancement for Long-Tailed Sequential Recommendation Qidong Liu, Xian Wu, Yejing Wang, Zijian Zhang, Feng Tian, Yefeng Zheng, Xiangyu Zhao

NeurIPS 2024 MMBench-Video: A Long-Form Multi-Shot Benchmark for Holistic Video Understanding Xinyu Fang, Kangrui Mao, Haodong Duan, Xiangyu Zhao, Yining Li, Dahua Lin, Kai Chen

NeurIPS 2024 Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models Ziyi Zhou, Xinwei Guo, Jiashi Gao, Xiangyu Zhao, Shiyao Zhang, Xin Yao, Xuetao Wei

NeurIPS 2023 An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations Haoran Yang, Xiangyu Zhao, Yicong Li, Hongxu Chen, Guandong Xu

AAAI 2023 AutoSTL: Automated Spatio-Temporal Multi-Task Learning Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang

NeurIPS 2023 DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model Yuanshao Zhu, Yongchao Ye, Shiyao Zhang, Xiangyu Zhao, James Yu

NeurIPS 2023 KuaiSim: A Comprehensive Simulator for Recommender Systems Kesen Zhao, Shuchang Liu, Qingpeng Cai, Xiangyu Zhao, Ziru Liu, Dong Zheng, Peng Jiang, Kun Gai

NeurIPS 2023 SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis Yuanshao Zhu, Yongchao Ye, Ying Wu, Xiangyu Zhao, James Yu

ICLRW 2023 Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration Xiangyu Zhao, Hannes Stärk, Dominique Beaini, Yiren Zhao, Pietro Lio

LoG 2023 Will More Expressive Graph Neural Networks Do Better on Generative Tasks? Xiandong Zou, Xiangyu Zhao, Pietro Lio, Yiren Zhao

NeurIPS 2023 XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information Zitao Liu, Qiongqiong Liu, Teng Guo, Jiahao Chen, Shuyan Huang, Xiangyu Zhao, Jiliang Tang, Weiqi Luo, Jian Weng

ICLR 2022 Automated Self-Supervised Learning for Graphs Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang

NeurIPSW 2022 Dynamic Statistical Learning with Engineered Features Outperforms Deep Neural Networks for Smart Building Cooling Load Predictions Yiren Liu, S. Joe Qin, Xiangyu Zhao, Yixiao Huang, Shenglong Yao, Guo Han

IJCAI 2022 MLP4Rec: A Pure MLP Architecture for Sequential Recommendations Muyang Li, Xiangyu Zhao, Chuan Lyu, Minghao Zhao, Runze Wu, Ruocheng Guo

AAAI 2022 Multi-Type Urban Crime Prediction Xiangyu Zhao, Wenqi Fan, Hui Liu, Jiliang Tang

AAAI 2021 DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems Xiangyu Zhao, Changsheng Gu, Haoshenglun Zhang, Xiwang Yang, Xiaobing Liu, Jiliang Tang, Hui Liu