Tian Lan

Affiliations:
  • Salesforce Research, Palo Alto, CA, USA
  • Amazon, USA (2014 - 2020)
  • Stanford University, Computer Science Department, Stanford, CA, USA
  • Simon Fraser University, School of Computing Science, Burnaby, Canada (PhD 2013)


According to our database1, Tian Lan authored at least 28 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
PRACT: Optimizing Principled Reasoning and Acting of LLM Agent.
CoRR, 2024

xLAM: A Family of Large Action Models to Empower AI Agent Systems.
CoRR, 2024

Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents.
CoRR, 2024

Enabling High Data Throughput Reinforcement Learning on GPUs: A Domain Agnostic Framework for Data-Driven Scientific Research.
CoRR, 2024

APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets.
CoRR, 2024

AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System.
CoRR, 2024

AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning.
CoRR, 2024

Text2Data: Low-Resource Data Generation with Textual Control.
CoRR, 2024

2023
Merlion: End-to-End Machine Learning for Time Series.
J. Mach. Learn. Res., 2023

2022
WarpDrive: Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU.
J. Mach. Learn. Res., 2022

2021
Merlion: A Machine Learning Library for Time Series.
CoRR, 2021

2015
Action Recognition by Hierarchical Mid-Level Action Elements.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
A Hierarchical Representation for Future Action Prediction.
Proceedings of the Computer Vision - ECCV 2014, 2014

Learning Action Primitives for Multi-level Video Event Understanding.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2013
Optimizing Nondecomposable Loss Functions in Structured Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Latent Maximum Margin Clustering.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Latent Spatio-temporal Models for Action Localization and Recognition in Nursing Home Surveillance Video.
Proceedings of the 13. IAPR International Conference on Machine Vision Applications, 2013

From Subcategories to Visual Composites: A Multi-level Framework for Object Detection.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Learning Class-to-Image Distance with Object Matchings.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

A Max-Margin Riffled Independence Model for Image Tag Ranking.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Discriminative Latent Models for Recognizing Contextual Group Activities.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Similarity Constrained Latent Support Vector Machine: An Application to Weakly Supervised Action Classification.
Proceedings of the Computer Vision - ECCV 2012, 2012

Image Retrieval with Structured Object Queries Using Latent Ranking SVM.
Proceedings of the Computer Vision - ECCV 2012, 2012

Social roles in hierarchical models for human activity recognition.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Discriminative figure-centric models for joint action localization and recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
Beyond Actions: Discriminative Models for Contextual Group Activities.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Retrieving Actions in Group Contexts.
Proceedings of the Trends and Topics in Computer Vision, 2010

2009
SFU at TRECVid 2009: Event Detection.
Proceedings of the TRECVID 2009 workshop participants notebook papers, 2009


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