Ni Lao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
10
Active years
2003–2024
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICML | MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations. | Zhangyu Wang, Gengchen Mai, Krzysztof Janowicz, Ni Lao |
| 2024 | SIGIR | Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation. | Zhongliang Zhou, Jielu Zhang, Zihan Guan, Mengxuan Hu, Ni Lao, Lan Mu, Sheng Li, Gengchen Mai |
| 2023 | ACL | RARR: Researching and Revising What Language Models Say, Using Language Models. | Luyu Gao, Zhuyun Dai, Panupong Pasupat, Anthony Chen, Arun Tejasvi Chaganty, Yicheng Fan, Vincent Y. Zhao, Ni Lao, Hongrae Lee, Da-Cheng Juan, Kelvin Guu |
| 2023 | ICML | CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations. | Gengchen Mai, Ni Lao, Yutong He, Jiaming Song, Stefano Ermon |
| 2020 | ICLR | Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells. | Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao |
| 2019 | ICLR | Neural Program Planner for Structured Predictions. | Jacob Biloki, Chen Liang, Ni Lao |
| 2018 | ICLR | Learning to Organize Knowledge with N-Gram Machines. | Fan Yang, Jiazhong Nie, William W. Cohen, Ni Lao |
| 2017 | ACL | Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision. | Chen Liang, Jonathan Berant, Quoc V. Le, Kenneth D. Forbus, Ni Lao |
| 2015 | AAAI | Never-Ending Learning. | Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha Pratim Talukdar, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matthew Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapandula Nakashole, Emmanouil A. Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard C. Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling |
| 2015 | ACL | Learning Relational Features with Backward Random Walks. | Ni Lao, Einat Minkov, William W. Cohen |
| 2014 | KDD | Knowledge vault: a web-scale approach to probabilistic knowledge fusion. | Xin Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Ni Lao, Kevin Murphy, Thomas Strohmann, Shaohua Sun, Wei Zhang |
| 2012 | EMNLP | Reading The Web with Learned Syntactic-Semantic Inference Rules. | Ni Lao, Amarnag Subramanya, Fernando C. N. Pereira, William W. Cohen |
| 2011 | EMNLP | Random Walk Inference and Learning in A Large Scale Knowledge Base. | Ni Lao, Tom M. Mitchell, William W. Cohen |
| 2011 | KDD | Conditional topical coding: an efficient topic model conditioned on rich features. | Jun Zhu, Ni Lao, Ning Chen, Eric P. Xing |
| 2010 | KDD | Fast query execution for retrieval models based on path-constrained random walks. | Ni Lao, William W. Cohen |
| 2010 | KDD | Grafting-light: fast, incremental feature selection and structure learning of Markov random fields. | Jun Zhu, Ni Lao, Eric P. Xing |
| 2007 | SIGIR | Utility-based information distillation over temporally sequenced documents. | Yiming Yang, Abhimanyu Lad, Ni Lao, Abhay Harpale, Bryan Kisiel, Monica Rogati |
| 2006 | EuroSys | Automated known problem diagnosis with event traces. | Chun Yuan, Ni Lao, Ji-Rong Wen, Jiwei Li, Zheng Zhang, Yi-Min Wang, Wei-Ying Ma |
| 2004 | DSN | Why PCs Are Fragile and What We Can Do About It: A Study of Windows Registry Problems. | Archana Ganapathi, Yi-Min Wang, Ni Lao, Ji-Rong Wen |
| 2004 | SIGIR | Probabilistic model for contextual retrieval. | Ji-Rong Wen, Ni Lao, Wei-Ying Ma |
| 2003 | RoboCup | Technical Solutions of TsinghuAeolus for Robotic Soccer. | Jinyi Yao, Ni Lao, Fan Yang, Yunpeng Cai, Zengqi Sun |