| 2026 | AAAI | mmJEPA-ECG: Cross-Posture Robust Contactless Electrocardiogram Monitoring via Millimeter Wave Radar Sensing. | Ziyang Liu, Siyuan He, Feng Liang, Chang Huang, Shuxin Zhong, Kaishun Wu |
| 2026 | AAAI | UMNet: Uncertainty-guided Memory Network for Hyperspectral Pansharpening. | Xiaozheng Wang, Yong Yang, Shuying Huang, Nayu Liu, Ziyang Liu |
| 2026 | AAAI | H-GAR: A Hierarchical Interaction Framework via Goal-Driven Observation-Action Refinement for Robotic Manipulation. | Yijie Zhu, Rui Shao, Ziyang Liu, Jie He, Jizhihui Liu, Jiuru Wang, Zitong Yu |
| 2026 | MMM | MMDocBench: Benchmarking Large Vision-Language Models for Fine-Grained Visual Document Understanding and Grounding. | Fengbin Zhu, Ziyang Liu, Xiang Yao Ng, Haohui Wu, Wenjie Wang, Fuli Feng, Chao Wang, Huanbo Luan, Tat-Seng Chua |
| 2026 | WWW | What Should I Cite? A RAG Benchmark for Academic Citation Prediction. | Leqi Zheng, Jiajun Zhang, Canzhi Chen, Chaokun Wang, Hongwei Li, Yuying Li, Yaoxin Mao, Shannan Yan, Zixin Song, Zhiyuan Feng, Zhaolu Kang, Zirong Chen, Hang Zhang, Qiang Liu, Liang Wang, Ziyang Liu |
| 2025 | AAAI | Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion. | Cheng Wu, Liang Su, Chaokun Wang, Shaoyun Shi, Ziqian Zhang, Ziyang Liu, Wang Peng, Wenjin Wu, Peng Jiang |
| 2025 | ACL | TeRDy: Temporal Relation Dynamics through Frequency Decomposition for Temporal Knowledge Graph Completion. | Ziyang Liu, Chaokun Wang |
| 2025 | CVPR | MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation. | Mingcheng Li, Xiaolu Hou, Ziyang Liu, Dingkang Yang, Ziyun Qian, Jiawei Chen, Jinjie Wei, Yue Jiang, Qingyao Xu, Lihua Zhang |
| 2025 | EMNLP | LAGCL4Rec: When LLMs Activate Interactions Potential in Graph Contrastive Learning for Recommendation. | Leqi Zheng, Chaokun Wang, Canzhi Chen, Jiajun Zhang, Cheng Wu, Zixin Song, Shannan Yan, Ziyang Liu, Hongwei Li |
| 2025 | HASKELL | Plinth: A Plugin-Powered Language Built on Haskell (Experience Report). | Ziyang Liu, Kenneth MacKenzie, Roman Kireev, Michael Peyton Jones, Philip Wadler, Manuel M. T. Chakravarty |
| 2025 | ICDE | Efficient Unsupervised Graph Embedding with Attributed Graph Reduction and Dual-Level Loss: (Extended Abstract). | Ziyang Liu, Chaokun Wang, Hao Feng, Ziyang Chen |
| 2025 | ICDE | Effective and Scalable Heterogeneous Graph Neural Network Framework with Convolution-oriented Attention. | Ziqian Zhang, Chaokun Wang, Shuwen Zheng, Cheng Wu, Ziyang Liu, Hao Feng |
| 2025 | IPCO | A Black-Box Approach for Exogenous Replenishment in Online Resource Allocation. | Suho Kang, Ziyang Liu, Rajan Udwani |
| 2025 | QRS | CAFEM: Context-Aware Feature Enhancement with Multi-Stage Sampling for Statement-Level Defect Prediction. | Ziyang Liu, Yi Zhu, Jianhao Li, Guosheng Hao |
| 2025 | SIGIR | Balancing Self-Presentation and Self-Hiding for Exposure-Aware Recommendation Based on Graph Contrastive Learning. | Leqi Zheng, Chaokun Wang, Ziyang Liu, Canzhi Chen, Cheng Wu, Hongwei Li |
| 2024 | APWEB | Table Embedding Models Based on Contrastive Learning for Improved Cardinality Estimation. | Hongwei Li, Chaokun Wang, Ziyang Liu |
| 2024 | CLOUD | Kale: Elastic GPU Scheduling for Online DL Model Training. | Ziyang Liu, Renyu Yang, Jin Ouyang, Weihan Jiang, Tianyu Ye, Menghao Zhang, Sui Huang, Jiaming Huang, Chengru Song, Di Zhang, Tianyu Wo, Chunming Hu |
| 2024 | ICDE | GraphHI: Boosting Graph Neural Networks for Large-Scale Graphs. | Hao Feng, Chaokun Wang, Ziyang Liu, Yunkai Lou, Zhenyu Liu, Xiaokun Zhu, Yongjun Bao, Weipeng Yan |
| 2024 | ICDE | Incorporating Dynamic Temperature Estimation into Contrastive Learning on Graphs. | Ziyang Liu, Chaokun Wang, Liqun Yang, Yunkai Lou, Hao Feng, Cheng Wu, Kai Zheng, Yang Song |
| 2024 | IJCAI | Graph Contrastive Learning with Reinforcement Augmentation. | Ziyang Liu, Chaokun Wang, Cheng Wu |
| 2024 | IGARSS | A Novel Multimodal Fusion Framework Based on Calibration for Near-Field 3D-SAR. | Ziyang Liu, Tianjiao Zeng, Baoyou Wang, Xiaoling Zhang |
| 2024 | WWW | Enhancing Recommendation Accuracy and Diversity with Box Embedding: A Universal Framework. | Cheng Wu, Shaoyun Shi, Chaokun Wang, Ziyang Liu, Wang Peng, Wenjin Wu, Dongying Kong, Han Li, Kun Gai |
| 2023 | ICDE | Fast Unsupervised Graph Embedding via Graph Zoom Learning. | Ziyang Liu, Chaokun Wang, Yunkai Lou, Hao Feng |
| 2023 | KDD | Graph Contrastive Learning with Generative Adversarial Network. | Cheng Wu, Chaokun Wang, Jingcao Xu, Ziyang Liu, Kai Zheng, Xiaowei Wang, Yang Song, Kun Gai |
| 2022 | EMNLP | Knowledge Distillation based Contextual Relevance Matching for E-commerce Product Search. | Ziyang Liu, Chaokun Wang, Hao Feng, Lingfei Wu, Liqun Yang |
| 2022 | LAK | How does Students' Affect in Virtual Learning Relate to Their Outcomes? A Systematic Review Challenging the Positive-Negative Dichotomy. | Shamya Karumbaiah, Ryan Baker, Yan Tao, Ziyang Liu |
| 2021 | ICDM | AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks. | Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han |
| 2021 | ICIP | Hierarchical Domain-Consistent Network For Cross-Domain Object Detection. | Yuanyuan Liu, Ziyang Liu, Fang Fang, Zhanghua Fu, Zhanlong Chen |
| 2021 | WSDM | BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks. | Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han |
| 2020 | ICDM | BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search. | Yunjiang Jiang, Yue Shang, Ziyang Liu, Hongwei Shen, Yun Xiao, Wei Xiong, Sulong Xu, Weipeng Yan, Di Jin |
| 2020 | ICDM | NF-VGA: Incorporating Normalizing Flows into Graph Variational Autoencoder for Embedding Attribute Networks. | Hongyu Shan, Di Jin, Pengfei Jiao, Ziyang Liu, Bingyi Li, Yuxiao Huang |
| 2020 | MICCAI | Brain Age Estimation from MRI Using a Two-Stage Cascade Network with Ranking Loss. | Ziyang Liu, Jian Cheng, Haogang Zhu, Jicong Zhang, Tao Liu |
| 2019 | AAAI | Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks. | Di Jin, Ziyang Liu, Weihao Li, Dongxiao He, Weixiong Zhang |
| 2019 | MOBICOM | Diagnosing Vehicles with Automotive Batteries. | Liang He, Linghe Kong, Ziyang Liu, Yuanchao Shu, Cong Liu |
| 2018 | ICDE | Keyword Search on Temporal Graphs. | Ziyang Liu, Chong Wang, Yi Chen |
| 2018 | KSEM | Robust Detection of Communities with Multi-semantics in Large Attributed Networks. | Di Jin, Ziyang Liu, Dongxiao He, Bogdan Gabrys, Katarzyna Musial |
| 2015 | ER | Ranking Friendly Result Composition for XML Keyword Search. | Ziyang Liu, Yichuang Cai, Yi Shan, Yi Chen |
| 2014 | SIGMOD | Online optimization and fair costing for dynamic data sharing in a cloud data market. | Ziyang Liu, Hakan Hacigms |
| 2013 | EDBT | Cost exploration of data sharings in the cloud. | Samer Al-Kiswany, Hakan Hacigms, Ziyang Liu, Jagan Sankaranarayanan |
| 2013 | EDBT | PMAX: tenant placement in multitenant databases for profit maximization. | Ziyang Liu, Hakan Hacigms, Hyun Jin Moon, Yun Chi, Wang-Pin Hsiung |
| 2013 | GLOBECOM | Transmission capacity of device-to-device communication under heterogeneous networks with cellular users assisted. | Yang Yang, Ziyang Liu, Zuohui Fu, Tao Peng, Wenbo Wang |
| 2013 | VTC | Optimal Power and Density Allocation of D2D Communication under Heterogeneous Networks on Multi-Bands with Outage Constraints. | Hao Chen, Ziyang Liu, Tao Peng, Wenbo Wang |
| 2013 | VTC | Transmission Capacity of D2D Communication under Heterogeneous Networks with Multi-Bands. | Ziyang Liu, Tao Peng, Hao Chen, Wenbo Wang |
| 2013 | VTC | Cluster-Based Multicast Transmission for Device-to-Device (D2D) Communication. | Bo Peng, Tao Peng, Ziyang Liu, Yufeng Yang, Chunjing Hu |
| 2012 | GLOBECOM | Optimal D2D user allocation over multi-bands under heterogeneous networks. | Ziyang Liu, Tao Peng, Hao Chen, Wenbo Wang |
| 2012 | GLOBECOM | A distance-dependent mode selection algorithm in heterogeneous D2D and IMT-Advanced network. | Shangwen Xiang, Tao Peng, Ziyang Liu, Wenbo Wang |
| 2011 | DASFAA | Searching, Analyzing and Exploring Databases. | Yi Chen, Wei Wang, Ziyang Liu |
| 2011 | EDBT | Efficient and scalable data evolution with column oriented databases. | Ziyang Liu, Bin He, Hui-I Hsiao, Yi Chen |
| 2011 | ICDE | Keyword-based search and exploration on databases. | Yi Chen, Wei Wang, Ziyang Liu |
| 2010 | ICDE | TargetSearch: A ranking friendly XML keyword search engine. | Ziyang Liu, Yichuan Cai, Yi Chen |
| 2009 | SIGMOD | Keyword search on structured and semi-structured data. | Yi Chen, Wei Wang, Ziyang Liu, Xuemin Lin |
| 2009 | SIGMOD | Detecting and resolving unsound workflow views for correct provenance analysis. | Peng Sun, Ziyang Liu, Susan B. Davidson, Yi Chen |
| 2008 | ICDE | Answering Keyword Queries on XML Using Materialized Views. | Ziyang Liu, Yi Chen |
| 2008 | SIGMOD | Query biased snippet generation in XML search. | Yu Huang, Ziyang Liu, Yi Chen |
| 2007 | SIGMOD | Identifying meaningful return information for XML keyword search. | Ziyang Liu, Yi Chen |
| 2007 | VLDB | XSeek: A Semantic XML Search Engine Using Keywords. | Ziyang Liu, Jeffrey Walker, Yi Chen |