| 2026 | AAAI | ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs. | Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yujie Sun, Zheng Liang, Yibing Zhan, Dapeng Tao |
| 2026 | AAAI | GUIDER: Uncertainty Guided Dynamic Re-ranking for Large Language Models Based Recommender Systems. | Cai Xu, Xujing Wang, Ziyu Guan, Wei Zhao, Meng Yan |
| 2026 | DASFAA | Collaborative Pattern Mining in Activity Graphs. | Beilei Ling, Ziyu Guan, Wei Zhao, Yiheng Lu, Meng Yan, Cai Xu, Weigang Lu, Beizeng Ling |
| 2026 | WWW | H-NeiFi: Non-Invasive and Consensus-Efficient Multi-Agent Opinion Guidance. | Shijun Guo, Haoran Xu, Yaming Yang, Ziyu Guan, Wei Zhao, Xinyi Zhang, Yishan Song |
| 2026 | WWW | MessageShift: Fine-Grained Data Augmentation for Graph Neural Networks. | Weigang Lu, Zheng Liang, Yaming Yang, Ziyu Zheng, Meng Yan, Beilei Ling, Ziyu Guan, Wei Zhao |
| 2026 | WWW | Aligning Multiple Knowledge Graphs in A Single Pass. | Yaming Yang, Zhe Wang, Ziyu Guan, Wei Zhao, Weigang Lu, Xinyan Huang, Jiangtao Cui, Xiaofei He |
| 2026 | WWW | Beyond Single-Granularity Prompts: A Multi-Scale Chain-of-Thought Prompt Learning for Graph. | Ziyu Zheng, Yaming Yang, Ziyu Guan, Wei Zhao, Xinyan Huang, Weigang Lu |
| 2026 | SIGIR | Equip Pre-ranking with Target Attention by Residual Quantization. | Yutong Li, Yu Zhu, Yichen Qiao, Ziyu Guan, Lv Shao, Tong Liu, Bo Zheng |
| 2025 | AAAI | Biased Incomplete Multi-View Learning. | Haishun Chen, Cai Xu, Ziyu Guan, Wei Zhao, Jinlong Liu |
| 2025 | AAAI | AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification. | Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yibing Zhan, Yiheng Lu, Dapeng Tao |
| 2025 | ACL | Cross-lingual Multimodal Sentiment Analysis for Low-Resource Languages via Language Family Disentanglement and Rethinking Transfer. | Long Chen, Shuoyu Guan, Xiaohua Huang, Wen-Jing Wang, Cai Xu, Ziyu Guan, Wei Zhao |
| 2025 | CIKM | Audience-Aware and Self-Adaptive Multi-Interest Modeling for Sharing Rate Prediction in Affiliate Marketing. | Zhe Wang, Ziyu Guan, Yujian Cao, Yaming Yang, Rui Wang, Bin Tong, Wei Zhao, Hongbo Deng |
| 2025 | CIKM | Dynamic Network-Based Two-Stage Time Series Forecasting for Affiliate Marketing. | Zhe Wang, Yaming Yang, Ziyu Guan, Bin Tong, Rui Wang, Wei Zhao, Hongbo Deng |
| 2025 | ICCV | Environment-Agnostic Pose: Generating Environment-Independent Object Representations for 6D Pose Estimation. | Shaobo Zhang, Yuhang Huang, Wanqing Zhao, Wei Zhao, Ziyu Guan, Jinye Peng |
| 2025 | ICDE | SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks (Extended Abstract). | Weigang Lu, Yibing Zhan, Binbin Lin, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao |
| 2025 | ICDE | A Translation-Based Heterogeneous Graph Neural Network for Multiple Knowledge Graphs Alignment. | Yaming Yang, Zhuofeng Luo, Zhe Wang, Weigang Lu, Yiheng Lu, Ziyu Guan, Wei Zhao, Yuanhai Lv |
| 2025 | ISPEC | Meet-in-the-Middle Preimage Attacks with Multi-match on ASCON-XOF. | Shun Zhang, Tairong Shi, Jie Guan, Mingyao Gao, Ziyu Guan |
| 2025 | KDD | Discrepancy-Aware Graph Mask Auto-Encoder. | Ziyu Zheng, Yaming Yang, Ziyu Guan, Wei Zhao, Weigang Lu |
| 2025 | KDD | Enhancing Homophily-Heterophily Separation: Relation-Aware Learning in Heterogeneous Graphs. | Ziyu Zheng, Yaming Yang, Ziyu Guan, Wei Zhao, Weigang Lu |
| 2025 | WWW | Conf-GNNRec: Quantifying and Calibrating the Prediction Confidence for GNN-based Recommendation Methods. | Meng Yan, Cai Xu, Xujing Wang, Ziyu Guan, Wei Zhao, Yuhang Zhou |
| 2024 | AAAI | Entropy Induced Pruning Framework for Convolutional Neural Networks. | Yiheng Lu, Ziyu Guan, Yaming Yang, Wei Zhao, Maoguo Gong, Cai Xu |
| 2024 | AAAI | NodeMixup: Tackling Under-Reaching for Graph Neural Networks. | Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Long Jin |
| 2024 | AAAI | Reliable Conflictive Multi-View Learning. | Cai Xu, Jiajun Si, Ziyu Guan, Wei Zhao, Yue Wu, Xiyue Gao |
| 2024 | ACL | SC2: Towards Enhancing Content Preservation and Style Consistency in Long Text Style Transfer. | Jie Zhao, Ziyu Guan, Cai Xu, Wei Zhao, Yue Jiang |
| 2024 | DASFAA | TruthSR: Trustworthy Sequential Recommender Systems via User-generated Multimodal Content. | Meng Yan, Haibin Huang, Ying Liu, Juan Zhao, Xiyue Gao, Cai Xu, Ziyu Guan, Wei Zhao |
| 2024 | ECCV | Adapt2Reward: Adapting Video-Language Models to Generalizable Robotic Rewards via Failure Prompts. | Yanting Yang, Minghao Chen, Qibo Qiu, Jiahao Wu, Wenxiao Wang, Binbin Lin, Ziyu Guan, Xiaofei He |
| 2024 | EMNLP | H-LegalKI: A Hierarchical Legal Knowledge Integration Framework for Legal Community Question Answering. | Yue Jiang, Ziyu Guan, Jie Zhao, Wei Zhao, Jiaqi Yang |
| 2024 | IJCAI | Trusted Multi-view Learning with Label Noise. | Cai Xu, Yilin Zhang, Ziyu Guan, Wei Zhao |
| 2024 | KDD | AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation. | Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang |
| 2024 | MICCAI | A Weakly-Supervised Multi-lesion Segmentation Framework Based on Target-Level Incomplete Annotations. | Jianguo Ju, Shumin Ren, Dandan Qiu, Huijuan Tu, Juanjuan Yin, Pengfei Xu, Ziyu Guan |
| 2024 | SIGIR | Enhancing Criminal Case Matching through Diverse Legal Factors. | Jie Zhao, Ziyu Guan, Wei Zhao, Yue Jiang |
| 2023 | AAAI | Progressive Deep Multi-View Comprehensive Representation Learning. | Cai Xu, Wei Zhao, Jinglong Zhao, Ziyu Guan, Yaming Yang, Long Chen, Xiangyu Song |
| 2023 | APWEB | ACE-BERT: Adversarial Cross-Modal Enhanced BERT for E-Commerce Retrieval. | Boxuan Zhang, Chao Wei, Yan Jin, Cai Xu, Weiru Zhang, Haihong Tang, Ziyu Guan |
| 2022 | IJCAI | Charge Prediction by Constitutive Elements Matching of Crimes. | Jie Zhao, Ziyu Guan, Cai Xu, Wei Zhao, Enze Chen |
| 2021 | CVPR | Keypoint-Graph-Driven Learning Framework for Object Pose Estimation. | Shaobo Zhang, Wanqing Zhao, Ziyu Guan, Xianlin Peng, Jinye Peng |
| 2021 | IJCAI | Non-contact Pain Recognition from Video Sequences with Remote Physiological Measurements Prediction. | Ruijing Yang, Ziyu Guan, Zitong Yu, Xiaoyi Feng, Jinye Peng, Guoying Zhao |
| 2021 | KDD | Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization in e-Commercial Sponsored Search. | Ziyu Guan, Hongchang Wu, Qingyu Cao, Hao Liu, Wei Zhao, Sheng Li, Cai Xu, Guang Qiu, Jian Xu, Bo Zheng |
| 2020 | AAAI | Question-Driven Purchasing Propensity Analysis for Recommendation. | Long Chen, Ziyu Guan, Qibin Xu, Qiong Zhang, Huan Sun, Guangyue Lu, Deng Cai |
| 2020 | CVPR | Learning Deep Network for Detecting 3D Object Keypoints and 6D Poses. | Wanqing Zhao, Shaobo Zhang, Ziyu Guan, Wei Zhao, Jinye Peng, Jianping Fan |
| 2019 | AAAI | Answer Identification from Product Reviews for User Questions by Multi-Task Attentive Networks. | Long Chen, Ziyu Guan, Wei Zhao, Wanqing Zhao, Xiaopeng Wang, Zhou Zhao, Huan Sun |
| 2019 | CIKM | Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU. | Yu Zhu, Yu Gong, Qingwen Liu, Yingcai Ma, Wenwu Ou, Junxiong Zhu, Beidou Wang, Ziyu Guan, Deng Cai |
| 2019 | IJCAI | Adversarial Incomplete Multi-view Clustering. | Cai Xu, Ziyu Guan, Wei Zhao, Hongchang Wu, Yunfei Niu, Beilei Ling |
| 2019 | KDD | IntentGC: A Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation. | Jun Zhao, Zhou Zhou, Ziyu Guan, Wei Zhao, Wei Ning, Guang Qiu, Xiaofei He |
| 2019 | KDD | Exact-K Recommendation via Maximal Clique Optimization. | Yu Gong, Yu Zhu, Lu Duan, Qingwen Liu, Ziyu Guan, Fei Sun, Wenwu Ou, Kenny Q. Zhu |
| 2019 | KDD | Riker: Mining Rich Keyword Representations for Interpretable Product Question Answering. | Jie Zhao, Ziyu Guan, Huan Sun |
| 2019 | KDD | Personalized Attraction Enhanced Sponsored Search with Multi-task Learning. | Wei Zhao, Boxuan Zhang, Beidou Wang, Ziyu Guan, Wanxian Guan, Guang Qiu, Wei Ning, Jiming Chen, Hongmin Liu |
| 2018 | AAAI | Substructure Assembling Network for Graph Classification. | Xiaohan Zhao, Bo Zong, Ziyu Guan, Kai Zhang, Wei Zhao |
| 2018 | CIKM | Device-Aware Rule Recommendation for the Internet of Things. | Beidou Wang, Xin Guo, Martin Ester, Ziyu Guan, Bandeep Singh, Yu Zhu, Jiajun Bu, Deng Cai |
| 2018 | IJCAI | Tag-based Weakly-supervised Hashing for Image Retrieval. | Ziyu Guan, Fei Xie, Wanqing Zhao, Xiaopeng Wang, Long Chen, Wei Zhao, Jinye Peng |
| 2018 | IJCAI | Deep Multi-View Concept Learning. | Cai Xu, Ziyu Guan, Wei Zhao, Yunfei Niu, Quan Wang, Zhiheng Wang |
| 2018 | IJCAI | Evaluating Brush Movements for Chinese Calligraphy: A Computer Vision Based Approach. | Pengfei Xu, Lei Wang, Ziyu Guan, Xia Zheng, Xiaojiang Chen, Zhanyong Tang, Dingyi Fang, Xiaoqing Gong, Zheng Wang |
| 2018 | IJCAI | A Brand-level Ranking System with the Customized Attention-GRU Model. | Yu Zhu, Junxiong Zhu, Jie Hou, Yongliang Li, Beidou Wang, Ziyu Guan, Deng Cai |
| 2018 | KDD | Deep Reinforcement Learning for Sponsored Search Real-time Bidding. | Jun Zhao, Guang Qiu, Ziyu Guan, Wei Zhao, Xiaofei He |
| 2017 | EMNLP | An End-to-End Deep Framework for Answer Triggering with a Novel Group-Level Objective. | Jie Zhao, Yu Su, Ziyu Guan, Huan Sun |
| 2017 | IJCAI | Deep Multiple Instance Hashing for Object-based Image Retrieval. | Wanqing Zhao, Ziyu Guan, Hangzai Luo, Jinye Peng, Jianping Fan |
| 2017 | IJCAI | What to Do Next: Modeling User Behaviors by Time-LSTM. | Yu Zhu, Hao Li, Yikang Liao, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai |
| 2016 | IJCAI | Weakly-Supervised Deep Learning for Customer Review Sentiment Classification. | Ziyu Guan, Long Chen, Wei Zhao, Yi Zheng, Shulong Tan, Deng Cai |
| 2016 | KDD | The Million Domain Challenge: Broadcast Email Prioritization by Cross-domain Recommendation. | Beidou Wang, Martin Ester, Yikang Liao, Jiajun Bu, Yu Zhu, Ziyu Guan, Deng Cai |
| 2016 | WWW | Which to View: Personalized Prioritization for Broadcast Emails. | Beidou Wang, Martin Ester, Jiajun Bu, Yu Zhu, Ziyu Guan, Deng Cai |
| 2014 | AAAI | Mapping Users across Networks by Manifold Alignment on Hypergraph. | Shulong Tan, Ziyu Guan, Deng Cai, Xuzhen Qin, Jiajun Bu, Chun Chen |
| 2013 | ICDE | gIceberg: Towards iceberg analysis in large graphs. | Nan Li, Ziyu Guan, Lijie Ren, Jian Wu, Jiawei Han, Xifeng Yan |
| 2012 | ICASSP | Unified hypergraph for image ranking in a multimodal context. | Jiejun Xu, Vishwakarma Singh, Ziyu Guan, B. S. Manjunath |
| 2012 | KDD | Latent association analysis of document pairs. | Gengxin Miao, Ziyu Guan, Louise E. Moser, Xifeng Yan, Shu Tao, Nikos Anerousis, Jimeng Sun |
| 2011 | SIGMOD | Assessing and ranking structural correlations in graphs. | Ziyu Guan, Jian Wu, Qing Zhang, Ambuj K. Singh, Xifeng Yan |
| 2011 | SIGMOD | Neighborhood based fast graph search in large networks. | Arijit Khan, Nan Li, Xifeng Yan, Ziyu Guan, Supriyo Chakraborty, Shu Tao |
| 2010 | CIKM | Learning a user-thread alignment manifold for thread recommendation in online forum. | Jun Zhao, Jiajun Bu, Chun Chen, Ziyu Guan, Can Wang, Cheng Zhang |
| 2010 | WWW | Document recommendation in social tagging services. | Ziyu Guan, Can Wang, Jiajun Bu, Chun Chen, Kun Yang, Deng Cai, Xiaofei He |
| 2009 | KDD | Can we learn a template-independent wrapper for news article extraction from a single training site? | Junfeng Wang, Chun Chen, Can Wang, Jian Pei, Jiajun Bu, Ziyu Guan, Wei Vivian Zhang |
| 2009 | WWW | News article extraction with template-independent wrapper. | Junfeng Wang, Xiaofei He, Can Wang, Jian Pei, Jiajun Bu, Chun Chen, Ziyu Guan, Gang Lu |
| 2009 | SIGIR | Personalized tag recommendation using graph-based ranking on multi-type interrelated objects. | Ziyu Guan, Jiajun Bu, Qiaozhu Mei, Chun Chen, Can Wang |
| 2008 | SIGIR | Guide focused crawler efficiently and effectively using on-line topical importance estimation. | Ziyu Guan, Can Wang, Chun Chen, Jiajun Bu, Junfeng Wang |