Da Yan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
81
Venues
27
Active years
2011–2025
Best venue rank
A*
Where they publish
- A*ICDE15 papers
- A*KDD11 papers
- ACIKM9 papers
- BEDBT4 papers
- A*ICML4 papers
- A*ICDM4 papers
- BPPoPP4 papers
- A*SIGMOD3 papers
- BICPP2 papers
- A*IJCAI2 papers
- A*VLDB2 papers
- A*AAAI2 papers
- A*ICLR2 papers
- ASDM2 papers
- BIJCNN2 papers
- BDASFAA2 papers
- AHPDC1 paper
- BPacificVis1 paper
- MulticonferenceICCS1 paper
- BICIP1 paper
- A*ACL1 paper
- A*EMNLP1 paper
- NationalACSSC1 paper
- AER1 paper
- AEuroSys1 paper
- BCLOUD1 paper
- A*WWW1 paper
Papers
81 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EDBT | Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods. | Da Yan, Lyuheng Yuan, Akhlaque Ahmad, Saugat Adhikari |
| 2025 | EDBT | Efficient Enumeration of Large Maximal k-Plexes. | Qihao Cheng, Da Yan, Tianhao Wu, Lyuheng Yuan, Ji Cheng, Zhongyi Huang, Yang Zhou |
| 2025 | HPDC | Out-of-Core Parallel Spatial Join Outperforming In-Memory Systems: A BFS-DFS Hybrid Approach. | Lyuheng Yuan, Da Yan, Akhlaque Ahmad, Jiao Han, Saugat Adhikari, Yang Zhou |
| 2025 | ICML | Flexible, Efficient, and Stable Adversarial Attacks on Machine Unlearning. | Zihan Zhou, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Da Yan, Ruoming Jin, Dejing Dou |
| 2025 | ICPP | CompreGel: Efficient Distributed Graph Propagation via Error-Bounded Lossy Message Compression. | Tianhao Wu, Da Yan, Qihao Cheng, Lyuheng Yuan, Sheng Di, Jiao Han, Zhongyi Huang, Ji Cheng |
| 2025 | IJCAI | Faster Annotation for Elevation-Guided Flood Extent Mapping by Consistency-Enhanced Active Learning. | Saugat Adhikari, Da Yan, Tianyang Wang, Landon Dyken, Sidharth Kumar, Lyuheng Yuan, Akhlaque Ahmad, Jiao Han, Yang Zhou, Steve Petruzza |
| 2025 | KDD | 24 | Da Yan, Truong-Son Hy, Jake Y. Chen, Mohammed J. Zaki |
| 2025 | PacificVis | Enabling Fast and Accurate Crowdsourced Annotation for Elevation-Aware Flood Extent Mapping. | Landon Dyken, Saugat Adhikari, Pravin Poudel, Steve Petruzza, Da Yan, Will Usher, Sidharth Kumar |
| 2025 | VLDB | LLM+Graph: 2nd International Workshop on Data Management Opportunities in Bringing LLMs with Graph Data. | Yixiang Fang, Arijit Khan, Tianxing Wu, Da Yan |
| 2024 | AAAI | Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery. | Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang, Shigang Chen, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou |
| 2024 | CIKM | Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods. | Da Yan, Lyuheng Yuan, Akhlaque Ahmad, Saugat Adhikari |
| 2024 | CIKM | DirDense: A Tool for Mining Dense Subgraphs from a Big Directed Graph. | Jalal Khalil, Akhlaque Ahmad, Da Yan, Lyuheng Yuan, Saugat Adhikari, Yang Zhou, Zhe Jiang |
| 2024 | CIKM | Advancing Certified Robustness of Explanation via Gradient Quantization. | Yang Xiao, Zijie Zhang, Yuchen Fang, Da Yan, Yang Zhou, Wei-Shinn Ku, Bo Hui |
| 2024 | ICCS | DP-PINN: A Dual-Phase Training Scheme for Improving the Performance of Physics-Informed Neural Networks. | Da Yan, Ligang He |
| 2024 | ICDE | FSM-Explorer: An Interactive Tool for Frequent Subgraph Pattern Mining From a Big Graph. | Jalal Khalil, Da Yan, Lyuheng Yuan, Jiao Han, Saugat Adhikari, Cheng Long, Yang Zhou |
| 2024 | ICDE | Faster Depth-First Subgraph Matching on GPUs. | Lyuheng Yuan, Da Yan, Jiao Han, Akhlaque Ahmad, Yang Zhou, Zhe Jiang |
| 2024 | ICDE | G | Lyuheng Yuan, Akhlaque Ahmad, Da Yan, Jiao Han, Saugat Adhikari, Xiaodong Yu, Yang Zhou |
| 2024 | ICIP | Bmt-Bench: A Benchmark Sports Dataset For Video Generation. | Ziang Shi, Yang Xiao, Da Yan, Min-Te Sun, Wei-Shinn Ku, Bo Hui |
| 2024 | ICLR | Towards Understanding Sycophancy in Language Models. | Mrinank Sharma, Meg Tong, Tomasz Korbak, David Duvenaud, Amanda Askell, Samuel R. Bowman, Esin Durmus, Zac Hatfield-Dodds, Scott R. Johnston, Shauna Kravec, Timothy Maxwell, Sam McCandlish, Kamal Ndousse, Oliver Rausch, Nicholas Schiefer, Da Yan, Miranda Zhang, Ethan Perez |
| 2024 | IJCAI | EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery. | Mirza Tanzim Sami, Da Yan, Saugat Adhikari, Lyuheng Yuan, Jiao Han, Zhe Jiang, Jalal Khalil, Yang Zhou |
| 2024 | KDD | 23 | Da Yan, Ahmed Abdeen Hamed, Jake Y. Chen, Mohammed J. Zaki |
| 2024 | KDD | Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods. | Da Yan, Lyuheng Yuan, Akhlaque Ahmad, Chenguang Zheng, Hongzhi Chen, James Cheng |
| 2023 | ACL | Discovering Language Model Behaviors with Model-Written Evaluations. | Ethan Perez, Sam Ringer, Kamile Lukosiute, Karina Nguyen, Edwin Chen, Scott Heiner, Craig Pettit, Catherine Olsson, Sandipan Kundu, Saurav Kadavath, Andy Jones, Anna Chen, Benjamin Mann, Brian Israel, Bryan Seethor, Cameron McKinnon, Christopher Olah, Da Yan, Daniela Amodei, Dario Amodei, Dawn Drain, Dustin Li, Eli Tran-Johnson, Guro Khundadze, Jackson Kernion, James Landis, Jamie Kerr, Jared Mueller, Jeeyoon Hyun, Joshua Landau, Kamal Ndousse, Landon Goldberg, Liane Lovitt, Martin Lucas, Michael Sellitto, Miranda Zhang, Neerav Kingsland, Nelson Elhage, Nicholas Joseph, Noem Mercado, Nova DasSarma, Oliver Rausch, Robin Larson, Sam McCandlish, Scott Johnston, Shauna Kravec, Sheer El Showk, Tamera Lanham, Timothy Telleen-Lawton, Tom Brown, Tom Henighan, Tristan Hume, Yuntao Bai, Zac Hatfield-Dodds, Jack Clark, Samuel R. Bowman, Amanda Askell, Roger B. Grosse, Danny Hernandez, Deep Ganguli, Evan Hubinger, Nicholas Schiefer, Jared Kaplan |
| 2023 | ICDE | Accelerating k-Core Decomposition by a GPU. | Akhlaque Ahmad, Lyuheng Yuan, Da Yan, Guimu Guo, Jieyang Chen, Chengcui Zhang |
| 2023 | ICDE | Reinforcement Learning Enhanced Weighted Sampling for Accurate Subgraph Counting on Fully Dynamic Graph Streams. | Kaixin Wang, Cheng Long, Da Yan, Jie Zhang, H. V. Jagadish |
| 2023 | ICLR | Rethinking Graph Lottery Tickets: Graph Sparsity Matters. | Bo Hui, Da Yan, Xiaolong Ma, Wei-Shinn Ku |
| 2023 | ICML | Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing. | Jiaxiang Ren, Yang Zhou, Jiayin Jin, Lingjuan Lyu, Da Yan |
| 2023 | ICML | Fast Federated Machine Unlearning with Nonlinear Functional Theory. | Tianshi Che, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da Yan, Dejing Dou, Jun Huan |
| 2023 | KDD | 22nd International Workshop on Data Mining in Bioinformatics (BIOKDD 2023). | Da Yan, Ariful Azad, Jie Hou, Jake Y. Chen, Mohammed J. Zaki |
| 2023 | SDM | A Hidden Markov Forest Model for Terrain-Aware Flood Inundation Mapping from Earth Imagery. | Zhe Jiang, Yupu Zhang, Saugat Adhikari, Da Yan, Arpan Man Sainju, Xiaowei Jia, Yiqun Xie |
| 2022 | ICDE | Maximal Directed Quasi -Clique Mining. | Guimu Guo, Da Yan, Lyuheng Yuan, Jalal Khalil, Cheng Long, Zhe Jiang, Yang Zhou |
| 2022 | ICDE | Time-sensitive POI Recommendation by Tensor Completion with Side Information. | Bo Hui, Da Yan, Haiquan Chen, Wei-Shinn Ku |
| 2022 | ICDE | Distributed Task-Based Training of Tree Models. | Da Yan, Md Mashiur Rahman Chowdhury, Guimu Guo, Jalal Khalil, Zhe Jiang, Sushil K. Prasad |
| 2022 | ICDM | Federated Fingerprint Learning with Heterogeneous Architectures. | Tianshi Che, Zijie Zhang, Yang Zhou, Xin Zhao, Ji Liu, Zhe Jiang, Da Yan, Ruoming Jin, Dejing Dou |
| 2022 | ICDM | MentalNet: Heterogeneous Graph Representation for Early Depression Detection. | Ivan Mihov, Haiquan Chen, Xiao Qin, Wei-Shinn Ku, Da Yan, Yuhong Liu |
| 2022 | ICDM | Center-Based iPSC Colony Counting with Multi-Task Learning. | Mirza Tanzim Sami, Da Yan, Bhadhan Roy Joy, Jalal Khalil, Ricardo Cevallos, Md. Emon Hossain, Kejin Hu, Yang Zhou |
| 2022 | KDD | 21th International Workshop on Data Mining in Bioinformatics (BIOKDD 2022). | Da Yan, Catia Pesquita, Carsten Grg, Jake Y. Chen, Mohammed J. Zaki |
| 2022 | KDD | Quantifying and Reducing Registration Uncertainty of Spatial Vector Labels on Earth Imagery. | Wenchong He, Zhe Jiang, Marcus Kriby, Yiqun Xie, Xiaowei Jia, Da Yan, Yang Zhou |
| 2022 | PPoPP | An LLVM-based open-source compiler for NVIDIA GPUs. | Da Yan, Wei Wang, Xiaowen Chu |
| 2022 | SIGMOD | Efficient Algorithms for Maximal k-Biplex Enumeration. | Kaiqiang Yu, Cheng Long, Shengxin Liu, Da Yan |
| 2021 | CIKM | MentalSpot: Effective Early Screening for Depression Based on Social Contagion. | Jahandad Pirayesh, Haiquan Chen, Xiao Qin, Wei-Shinn Ku, Da Yan |
| 2021 | EMNLP | Adversarial Attack against Cross-lingual Knowledge Graph Alignment. | Zeru Zhang, Zijie Zhang, Yang Zhou, Lingfei Wu, Sixing Wu, Xiaoying Han, Dejing Dou, Tianshi Che, Da Yan |
| 2021 | ICDE | EDGE: Entity-Diffusion Gaussian Ensemble for Interpretable Tweet Geolocation Prediction. | Bo Hui, Haiquan Chen, Da Yan, Wei-Shinn Ku |
| 2021 | ICDM | Trajectory WaveNet: A Trajectory-Based Model for Traffic Forecasting. | Bo Hui, Da Yan, Haiquan Chen, Wei-Shinn Ku |
| 2021 | ICML | Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks. | Xin Zhao, Zeru Zhang, Zijie Zhang, Lingfei Wu, Jiayin Jin, Yang Zhou, Ruoming Jin, Dejing Dou, Da Yan |
| 2021 | IJCNN | Predicting Autism Spectrum Disorder from Brain Imaging Data by Graph Convolutional Network. | Yueen Ma, Da Yan, Cheng Long, D. Rangaprakash, Gopikrishna Deshpande |
| 2021 | IJCNN | Forecasting Stock Prices Using Stock Correlation Graph: A Graph Convolutional Network Approach. | Xingkun Yin, Da Yan, Abdullateef Ibrahim Almudaifer, Sibo Yan, Yang Zhou |
| 2021 | KDD | Weakly Supervised Spatial Deep Learning based on Imperfect Vector Labels with Registration Errors. | Zhe Jiang, Wenchong He, Marcus Stephen Kirby, Sultan Asiri, Da Yan |
| 2021 | KDD | 20th International Workshop on Data Mining in Bioinformatics (BIOKDD 2021). | Da Yan, Steve Qin, Debswapna Bhattacharya, Jake Y. Chen, Mohammed J. Zaki |
| 2021 | KDD | TrajNet: A Trajectory-Based Deep Learning Model for Traffic Prediction. | Bo Hui, Da Yan, Haiquan Chen, Wei-Shinn Ku |
| 2021 | PPoPP | Simplifying low-level GPU programming with GAS. | Da Yan, Wei Wang, Xiaowen Chu |
| 2021 | SDM | Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy. | Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan |
| 2020 | AAAI | Spatial Classification with Limited Observations Based on Physics-Aware Structural Constraint. | Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan |
| 2020 | ACSSC | Accurate Tensor Decomposition with Simultaneous Rank Approximation for Surveillance Videos. | Ramin Goudarzi Karim, Guimu Guo, Da Yan, Carmeliza Navasca |
| 2020 | CIKM | Price Forecast with High-Frequency Finance Data: An Autoregressive Recurrent Neural Network Model with Technical Indicators. | Yuechun Gu, Da Yan, Sibo Yan, Zhe Jiang |
| 2020 | CIKM | Predicting Economic Growth by Region Embedding: A Multigraph Convolutional Network Approach. | Bo Hui, Da Yan, Wei-Shinn Ku, Wenlu Wang |
| 2020 | ICDE | G-thinker: A Distributed Framework for Mining Subgraphs in a Big Graph. | Da Yan, Guimu Guo, Md Mashiur Rahman Chowdhury, M. Tamer zsu, Wei-Shinn Ku, John C. S. Lui |
| 2020 | ICDE | PrefixFPM: A Parallel Framework for General-Purpose Frequent Pattern Mining. | Da Yan, Wenwen Qu, Guimu Guo, Xiaoling Wang |
| 2020 | PPoPP | Optimizing batched Winograd convolution on GPUs. | Da Yan, Wei Wang, Xiaowen Chu |
| 2020 | VLDB | Parallel Mining of Frequent Subtree Patterns. | Wenwen Qu, Da Yan, Guimu Guo, Xiaoling Wang, Lei Zou, Yang Zhou |
| 2019 | ER | Parallel Clique-Like Subgraph Counting and Listing. | Yi Yang, Da Yan, Shuigeng Zhou, Guimu Guo |
| 2019 | ICDE | Fraction-Score: A New Support Measure for Co-location Pattern Mining. | Harry Kai-Ho Chan, Cheng Long, Da Yan, Raymond Chi-Wing Wong |
| 2019 | ICDE | Mining Order-Preserving Submatrices Under Data Uncertainty: A Possible-World Approach. | Ji Cheng, Da Yan, Xiaotian Hao, Wilfred Ng |
| 2019 | ICPP | Lightweight Fault Tolerance in Pregel-Like Systems. | Da Yan, James Cheng, Hongzhi Chen, Cheng Long, Purushotham V. Bangalore |
| 2019 | PPoPP | T-thinker: a task-centric distributed framework for compute-intensive divide-and-conquer algorithms. | Da Yan, Guimu Guo, Md Mashiur Rahman Chowdhury, M. Tamer zsu, John C. S. Lui, Weida Tan |
| 2018 | EuroSys | G-Miner: an efficient task-oriented graph mining system. | Hongzhi Chen, Miao Liu, Yunjian Zhao, Xiao Yan, Da Yan, James Cheng |
| 2018 | ICDE | Scalable De Novo Genome Assembly Using Pregel. | Da Yan, Hongzhi Chen, James Cheng, Zhenkun Cai, Bin Shao |
| 2017 | CLOUD | Architectural implications on the performance and cost of graph analytics systems. | Qizhen Zhang, Hongzhi Chen, Da Yan, James Cheng, Boon Thau Loo, Purushotham V. Bangalore |
| 2017 | DASFAA | Efficient Processing of Growing Temporal Graphs. | Huanhuan Wu, Yunjian Zhao, James Cheng, Da Yan |
| 2016 | KDD | Diversified Temporal Subgraph Pattern Mining. | Yi Yang, Da Yan, Huanhuan Wu, James Cheng, Shuigeng Zhou, John C. S. Lui |
| 2016 | SIGMOD | Big Graph Analytics Systems. | Da Yan, Yingyi Bu, Yuanyuan Tian, Amol Deshpande, James Cheng |
| 2016 | SIGMOD | Quegel: A General-Purpose System for Querying Big Graphs. | Qizhen Zhang, Da Yan, James Cheng |
| 2015 | WWW | Effective Techniques for Message Reduction and Load Balancing in Distributed Graph Computation. | Da Yan, James Cheng, Yi Lu, Wilfred Ng |
| 2013 | ICDE | Finding distance-preserving subgraphs in large road networks. | Da Yan, James Cheng, Wilfred Ng, Steven Liu |
| 2013 | KDD | A transfer learning based framework of crowd-selection on twitter. | Zhou Zhao, Da Yan, Wilfred Ng, Shi Gao |
| 2012 | CIKM | Leveraging read rates of passive RFID tags for real-time indoor location tracking. | Da Yan, Zhou Zhao, Wilfred Ng |
| 2012 | CIKM | Monochromatic and bichromatic reverse nearest neighbor queries on land surfaces. | Da Yan, Zhou Zhao, Wilfred Ng |
| 2012 | EDBT | Mining probabilistically frequent sequential patterns in uncertain databases. | Zhou Zhao, Da Yan, Wilfred Ng |
| 2012 | EDBT | A probabilistic convex hull query tool. | Zhou Zhao, Da Yan, Wilfred Ng |
| 2011 | CIKM | Efficient methods for finding influential locations with adaptive grids. | Da Yan, Raymond Chi-Wing Wong, Wilfred Ng |
| 2011 | DASFAA | Robust Ranking of Uncertain Data. | Da Yan, Wilfred Ng |