Zhiping Xiao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
36
Venues
15
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
36 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | CogniTrust: Cognitive Memory-Driven Verifiable Supervision for Robust Hashing. | Yiyang Gu, Bohan Wu, Yifang Qin, Jiaru Tang, Rong-Cheng Tu, Zhiping Xiao, Taian Guo, Junyu Luo, Wei Ju, Xiao Luo, Dacheng Tao, Ming Zhang |
| 2026 | ACL | SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models. | Yiyang Gu, Junwei Yang, Junyu Luo, Ye Yuan, Bin Feng, Yingce Xia, Shufang Xie, Kaili Liu, Bohan Wu, Qi Shi, Haoran Li, Beier Xiao, Zhiping Xiao, Xiao Luo, Weizhi Zhang, Philip S. Yu, Zequn Liu, Ming Zhang |
| 2026 | WWW | Long-Tailed Recognition of Evidential Experts for Graph-level Classification. | Wei Ju, Siyu Yi, Zhengyang Mao, Yifang Qin, Yifan Wang, Zhiping Xiao, Yiwei Fu, Ziyue Qiao, Ming Zhang |
| 2026 | WWW | Space-based Parameter Evolving with Lightweight Optimization for Graph Adaptation to Evolving Shifts. | Junyu Luo, Zixuan Ouyang, Xiao Luo, Hourun Li, Zhiping Xiao, Yifan Wang, Ming Zhang |
| 2026 | WWW | KEGOD: Kernel-enhanced Latent Substructure Learning for Graph Out-Of-Distribution Detection. | Yifan Wang, Haodong Zhang, Zhiping Xiao, Yusheng Zhao, Siyu Yi, Nan Yin, Xinwang Liu, Ming Zhang, Wei Ju |
| 2026 | SIGIR | EviRAG: Evidence-Guided Retrieval-Augmented Generation for Medical Vision-Language Models. | Yiyang Gu, Jiayue Fan, Kaili Liu, Bohan Wu, Binqi Chen, Zequn Liu, Zhiping Xiao, Rong-Cheng Tu, Xiao Luo, Ming Zhang |
| 2025 | AAAI | Cluster-guided Contrastive Class-imbalanced Graph Classification. | Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Jianhao Shen, Ziyue Qiao, Ming Zhang |
| 2025 | AAAI | DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation. | Hourun Li, Yifan Wang, Zhiping Xiao, Jia Yang, Changling Zhou, Ming Zhang, Wei Ju |
| 2025 | AAAI | GeoMamba: Towards Multi-granular POI Recommendation with Geographical State Space Model. | Yifang Qin, Jiaxuan Xie, Zhiping Xiao, Ming Zhang |
| 2025 | AAAI | Attention Bootstrapping for Multi-Modal Test-Time Adaptation. | Yusheng Zhao, Junyu Luo, Xiao Luo, Jinsheng Huang, Jingyang Yuan, Zhiping Xiao, Ming Zhang |
| 2025 | AAAI | TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs. | Yusheng Zhao, Changhu Wang, Xiao Luo, Junyu Luo, Wei Ju, Zhiping Xiao, Ming Zhang |
| 2025 | ACL | FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation. | Junyu Luo, Zhizhuo Kou, Liming Yang, Xiao Luo, Jinsheng Huang, Zhiping Xiao, Jingshu Peng, Chengzhong Liu, Jiaming Ji, Xuanzhe Liu, Sirui Han, Ming Zhang, Yike Guo |
| 2025 | ACL | A Survey on Efficient Large Language Model Training: From Data-centric Perspectives. | Junyu Luo, Bohan Wu, Xiao Luo, Zhiping Xiao, Yiqiao Jin, Rong-Cheng Tu, Nan Yin, Yifan Wang, Jingyang Yuan, Wei Ju, Ming Zhang |
| 2025 | ACL | Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention. | Jingyang Yuan, Huazuo Gao, Damai Dai, Junyu Luo, Liang Zhao, Zhengyan Zhang, Zhenda Xie, Yuxing Wei, Lean Wang, Zhiping Xiao, Yuqing Wang, Chong Ruan, Ming Zhang, Wenfeng Liang, Wangding Zeng |
| 2025 | ACL | Embracing Large Language Models in Traffic Flow Forecasting. | Yusheng Zhao, Xiao Luo, Haomin Wen, Zhiping Xiao, Wei Ju, Ming Zhang |
| 2025 | EMNLP | HEAL: Hybrid Enhancement with LLM-based Agents for Text-attributed Hypergraph Self-supervised Representation Learning. | Ruochang Li, Xiao Luo, Zhiping Xiao, Wei Ju, Ming Zhang |
| 2025 | EMNLP | Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness. | Yusheng Zhao, Xiao Luo, Junyu Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang |
| 2025 | ICLR | SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision. | Kangjie Zheng, Siyue Liang, Junwei Yang, Bin Feng, Zequn Liu, Wei Ju, Zhiping Xiao, Ming Zhang |
| 2025 | ICML | Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation. | Junyu Luo, Yuhao Tang, Yiwei Fu, Xiao Luo, Zhizhuo Kou, Zhiping Xiao, Wei Ju, Wentao Zhang, Ming Zhang |
| 2025 | ICML | DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning. | Yifan Wang, Hourun Li, Ling Yue, Zhiping Xiao, Jia Yang, Changling Zhou, Wei Ju, Ming Zhang, Xiao Luo |
| 2025 | ICML | Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes. | Yusheng Zhao, Qixin Zhang, Xiao Luo, Junyu Luo, Wei Ju, Zhiping Xiao, Ming Zhang |
| 2025 | ICML | ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models. | Kangjie Zheng, Junwei Yang, Siyue Liang, Bin Feng, Zequn Liu, Wei Ju, Zhiping Xiao, Ming Zhang |
| 2025 | KDD | Future Matters for Present: Towards Effective Physical Simulation over Meshes. | Xiao Luo, Junyu Luo, Huiyu Jiang, Hang Zhou, Zhiping Xiao, Wei Ju, Carl Ji Yang, Ming Zhang, Yizhou Sun |
| 2025 | NAACL | How Do Large Language Models Perform in Dynamical System Modeling. | Xiao Luo, Binqi Chen, Haixin Wang, Zhiping Xiao, Ming Zhang, Yizhou Sun |
| 2025 | NAACL | Semi-supervised Fine-tuning for Large Language Models. | Junyu Luo, Xiao Luo, Xiusi Chen, Zhiping Xiao, Wei Ju, Ming Zhang |
| 2024 | ICML | PGODE: Towards High-quality System Dynamics Modeling. | Xiao Luo, Yiyang Gu, Huiyu Jiang, Hang Zhou, Jinsheng Huang, Wei Ju, Zhiping Xiao, Ming Zhang, Yizhou Sun |
| 2024 | ICML | Hypergraph-enhanced Dual Semi-supervised Graph Classification. | Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Yifan Wang, Xiao Luo, Ming Zhang |
| 2024 | IJCAI | Rank and Align: Towards Effective Source-free Graph Domain Adaptation. | Junyu Luo, Zhiping Xiao, Yifan Wang, Xiao Luo, Jingyang Yuan, Wei Ju, Langechuan Liu, Ming Zhang |
| 2024 | IJCAI | A Survey of Data-Efficient Graph Learning. | Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, Ming Zhang |
| 2024 | WWW | Fast Inference of Removal-Based Node Influence. | Weikai Li, Zhiping Xiao, Xiao Luo, Yizhou Sun |
| 2020 | KDD | TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding. | Zhiping Xiao, Weiping Song, Haoyan Xu, Zhicheng Ren, Yizhou Sun |
| 2019 | CIKM | AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks. | Weiping Song, Chence Shi, Zhiping Xiao, Zhijian Duan, Yewen Xu, Ming Zhang, Jian Tang |
| 2019 | WSDM | Session-Based Social Recommendation via Dynamic Graph Attention Networks. | Weiping Song, Zhiping Xiao, Yifan Wang, Laurent Charlin, Ming Zhang, Jian Tang |
| 2018 | SIGCSE | AutoQuiz: A Personalized, Adaptive, Test Practice System (Abstract Only). | Zhiping Xiao, Siqi Li, Zachary A. Pardos |
| 2016 | ITiCSE | Game Development for Computer Science Education. | Chris Johnson, Monica McGill, Durell Bouchard, Michael K. Bradshaw, Vctor A. Bucheli, Laurence D. Merkle, Michael James Scott, Elizabeth Sweedyk, Jesus ngel Velzquez-Iturbide, Zhiping Xiao, Ming Zhang |
| 2016 | VTC | Skolem Sequence Based Self-Adaptive Broadcast Protocol in Cognitive Radio Networks. | Lin Chen, Zhiping Xiao, Kaigui Bian, Shuyu Shi, Rui Li, Yusheng Ji |