Linsey Pang

According to our database, Linsey Pang authored at least 31 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape.

Tiejin Chen, Wenwang Huang, Linsey Pang, Dongsheng Luo, Hua Wei

CoRR, 2024

The 3rd International Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom 2024).

Vachik S. Dave, Linsey Pang, Xiquan Cui, Chen Luo, Hamed Zamani, Lingfei Wu, George Karypis

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

The 2nd Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom).

Vachik S. Dave, Linsey Pang, Xiquan Cui, Lingfei Wu, Hamed Zamani, George Karypis

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Adversarial Active Learning with Guided BERT Feature Encoding.

Xiaolin Pang, Kexin Xie, Yuxi Zhang, Max Fleming, Damian Chen Xu, Wei Liu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

From Innovation to Scale (I2S) - Discuss and Learn How to Successfully Build, Commercialize, and Scale AI Innovations in Challenging Market Conditions.

Ankur Teredesai, Michael Zeller, Shenghua Bao, Wee Hyong Tok, Linsey Pang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Foundations and Applications in Large-scale AI Models: Pre-training, Fine-tuning, and Prompt-based Learning.

Derek Zhiyuan Cheng, Dhaval Patel, Linsey Pang, Sameep Mehta, Kexin Xie, Ed H. Chi, Wei Liu, Nitesh V. Chawla, James Bailey

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

AdKDD 2023.

Abraham Bagherjeiran, Nemanja Djuric, Kuang-Chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Uncertainty-bounded reinforcement learning for revenue optimization in air cargo: a prescriptive learning approach.

Stefano Giovanni Rizzo, Yixian Chen, Linsey Pang, Ji Lucas, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Sanjay Chawla

Knowl. Inf. Syst., 2022

Deep Search Relevance Ranking in Practice.

Linsey Pang, Wei Liu, Keng-hao Chang, Xue Li, Moumita Bhattacharya, Xianjing Liu, Stephen Guo

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

AdKDD 2022.

Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic, Kuang-Chih Lee, Kun Liu, Wei Liu, Linsey Pang, Vladan Radosavljevic, Suju Rajan, Kexin Xie

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Applied Machine Learning Methods for Time Series Forecasting.

Linsey Pang, Wei Liu, Lingfei Wu, Kexin Xie, Stephen Guo, Raghav Chalapathy, Musen Wen

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Deep Learning for Search and Recommendation.

Wei Liu, Kexin Xie, Linsey Pang, James Bailey, Longbing Cao, Yuxi Zhang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

A Multiobjective Optimization for Clearance in Walmart Brick-and-Mortar Stores.

Yixian Chen, Prakhar Mehrotra, Nitin Kishore Sai Samala, Kamilia Ahmadi, Viresh Jivane, Linsey Pang, Monika Shrivastav, Nate Lyman, Scott Pleiman

INFORMS J. Appl. Anal., 2021

2nd International Workshop on Industrial Recommendation Systems (IRS).

Jianpeng Xu, Lingfei Wu, Xiaolin Pang, Mohit Sharma, Dawei Yin, George Karypis, Justin Basilico, Philip S. Yu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Multimodal Product Matching and Category Mapping: Text+Image based Deep Neural Network.

Ketki Gupte, Linsey Pang, Harshada Vuyyuri, Sujitha Pasumarty

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Probabilistic Outlier Detection and Generation.

Stefano Giovanni Rizzo, Linsey Pang, Yixian Chen, Sanjay Chawla

CoRR, 2020

Price Investment using Prescriptive Analytics and Optimization in Retail.

Prakhar Mehrotra, Linsey Pang, Karthick Gopalswamy, Avinash Thangali, Timothy Winters, Ketki Gupte, Dnyanesh Kulkarni, Sunil Potnuru, Supreeth Shastry, Harshada Vuyyuri

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Prescriptive Learning for Air-Cargo Revenue Management.

Stefano Giovanni Rizzo, Yixian Chen, Linsey Pang, Ji Lucas, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Sanjay Chawla

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2014

Scalable Algorithms for Outlier Detection.

Xiaolin Pang

PhD thesis, 2014

Integer Programming Relaxations for Integrated Clustering and Outlier Detection.

Lionel Ott, Linsey Xiaolin Pang, Fabio Ramos, David Howe, Sanjay Chawla

CoRR, 2014

On Integrated Clustering and Outlier Detection.

Lionel Ott, Linsey Xiaolin Pang, Fabio Tozeto Ramos, Sanjay Chawla

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

On detection of emerging anomalous traffic patterns using GPS data.

Linsey Xiaolin Pang, Sanjay Chawla, Wei Liu, Yu Zheng

Data Knowl. Eng., 2013

A Scalable Approach for LRT Computation in GPGPU Environments.

Linsey Xiaolin Pang, Sanjay Chawla, Bernhard Scholz, Georgina Wilcox

Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013

2011

On Mining Anomalous Patterns in Road Traffic Streams.

Linsey Xiaolin Pang, Sanjay Chawla, Wei Liu, Yu Zheng

Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011

2004

A Utility Model for Timely State Update in Distributed Wargame Simulations.

Suiping Zhou, Stephen John Turner, Wentong Cai, Hanfeng Zhao, Xiaolin Pang

Proceedings of the 18th Workshop on Parallel and Distributed Simulation, 2004

2003

Security and Robustness Enhanced Route Structures for Mobile Agents.

Yan Wang, Xiaolin Pang

Mob. Networks Appl., 2003

Securing Your Data in Agent-Based P2P Systems.

Xiaolin Pang, Barbara Catania, Kian-Lee Tan

Proceedings of the Eighth International Conference on Database Systems for Advanced Applications (DASFAA '03), 2003

2002

A Secure Agent-Mediated Payment Protocol.

Xiaolin Pang, Kian-Lee Tan, Yan Wang, Jian Ren

Proceedings of the Information and Communications Security, 4th International Conference, 2002

A Parallel Dispatch Model with Secure and Robust Routes for Mobile Agents.

Yan Wang, Kian-Lee Tan, Xiaolin Pang

Proceedings of the E-Commerce and Web Technologies, Third International Conference, 2002

Several Structures for Protecting the Routes of Mobile Agents Dispatched in Parallel.

Yan Wang, Kian-Lee Tan, Xiaolin Pang

Proceedings of the 13th International Workshop on Database and Expert Systems Applications (DEXA 2002), 2002

2001

A 2-Phase Evaluation Model for Agent-Mediated Internet Marketplaces.

Jian Ren, Yan Wang, Xiaolin Pang, Kian-Lee Tan

Proceedings of the 2nd International Conference on Web Information Systems Engineering, 2001