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ORCIDLinsey Pang
Person information
- affiliation: Walmart Labs, Sunnyvale, CA, USA
- affiliation (PhD 2014): University of Sydney, School of Information Technologies, NSW, Australia
- affiliation (former): National University of Singapore, Department of Computer Science, Singapore
Other persons with the same name
- Xiaolin Pang 0002 — Memorial University of Newfoundland, St. John's, Canada
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2020 – today
- 2024
[c28]Yongfeng Zhang, Zhiwei Liu, Qingsong Wen, Linsey Pang, Wei Liu, Philip S. Yu:
AI Agent for Information Retrieval: Generating and Ranking. CIKM 2024: 5605-5607- [c27]Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla:
S2AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic. ICLR 2024 - [c26]Abraham Bagherjeiran
, Nemanja Djuric, Kuang-Chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan:
AdKDD 2024. KDD 2024: 6706-6707 - [c25]Ankur Teredesai, Michael Zeller, Mohak Shah, Shenghua Bao, Wee Hyong Tok, Linsey Pang:
The 2nd International Workshop: From Innovation to Scale (I2S) - Successfully Build, Commercialize, and Scale AI Innovations. KDD 2024: 6739-6740 - [c24]Qiang Li, Yiqiao Sun, Linsey Pang, Liang Sun, Qingsong Wen:
Stable Synthetic Control with Anomaly Detection for Causal Inference. SDM 2024: 770-778 - [c23]Vachik S. Dave, Linsey Pang, Xiquan Cui, Chen Luo, Hamed Zamani, Lingfei Wu, George Karypis:
The 3rd International Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom 2024). WSDM 2024: 1208-1209 - [e4]Abraham Bagherjeiran, Nemanja Djuric, Kuang-chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan:
Proceedings of the Workshop on Data Mining for Online Advertising (AdKDD 2024) co-located with the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024), Barcelona, Spain, August 25, 2024. CEUR Workshop Proceedings 3837, CEUR-WS.org 2024 [contents] - [i6]Tiejin Chen, Wenwang Huang, Linsey Pang, Dongsheng Luo, Hua Wei:
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape. CoRR abs/2403.06013 (2024) - [i5]Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla:
S2AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic. CoRR abs/2405.00987 (2024) - [i4]Linsey Pang, Amir Hossein Raffiee, Wei Liu, Keld Lundgaard:
Sequential Recommendation via Adaptive Robust Attention with Multi-dimensional Embeddings. CoRR abs/2409.05022 (2024) - [i3]Huaiyuan Yao, Longchao Da, Vishnu Nandam, Justin Turnau, Zhiwei Liu, Linsey Pang, Hua Wei:
CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic. CoRR abs/2410.14368 (2024) - 2023
- [c22]Abraham Bagherjeiran, Nemanja Djuric, Kuang-Chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan:
AdKDD 2023. KDD 2023: 5849-5850 - [c21]Derek Zhiyuan Cheng, Dhaval Patel, Linsey Pang, Sameep Mehta, Kexin Xie, Ed H. Chi, Wei Liu, Nitesh V. Chawla, James Bailey:
Foundations and Applications in Large-scale AI Models: Pre-training, Fine-tuning, and Prompt-based Learning. KDD 2023: 5853-5854 - [c20]Ankur Teredesai, Michael Zeller, Shenghua Bao, Wee Hyong Tok, Linsey Pang:
From Innovation to Scale (I2S) - Discuss and Learn How to Successfully Build, Commercialize, and Scale AI Innovations in Challenging Market Conditions. KDD 2023: 5888-5889 - [c19]Xiaolin Pang, Kexin Xie, Yuxi Zhang, Max Fleming, Damian Chen Xu, Wei Liu:
Adversarial Active Learning with Guided BERT Feature Encoding. PAKDD (2) 2023: 508-520 - [c18]Vachik S. Dave, Linsey Pang, Xiquan Cui, Lingfei Wu, Hamed Zamani, George Karypis:
The 2nd Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom). WWW (Companion Volume) 2023: 850-853 - [e3]Abraham Bagherjeiran, Nemanja Djuric, Kuang-chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan:
Proceedings of the Workshop on Data Mining for Online Advertising (AdKDD 2023) co-located with the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), Long Beach, CA, USA, August 7, 2023. CEUR Workshop Proceedings 3556, CEUR-WS.org 2023 [contents] - [e2]Wei Liu, Linsey Pang:
Proceedings of the Workshop on Applied Machine Learning Methods for Time Series Forecasting (AMLTS 2022) co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, Georgia, USA, October 21, 2022. CEUR Workshop Proceedings 3375, CEUR-WS.org 2023 [contents] - [e1]Wei Liu, Linsey Pang:
Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, Georgia, USA, October 17-21, 2022. CEUR Workshop Proceedings 3317, CEUR-WS.org 2023 [contents] - 2022
- [j4]Stefano Giovanni Rizzo, Yixian Chen, Linsey Pang, Ji Lucas, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Sanjay Chawla:
Uncertainty-bounded reinforcement learning for revenue optimization in air cargo: a prescriptive learning approach. Knowl. Inf. Syst. 64(9): 2515-2541 (2022) - [c17]Wei Liu, Kexin Xie, Linsey Pang, James Bailey, Longbing Cao, Yuxi Zhang:
Deep Learning for Search and Recommendation. CIKM 2022: 5171-5172 - [c16]Linsey Pang, Wei Liu, Lingfei Wu, Kexin Xie, Stephen D. Guo, Raghav Chalapathy, Musen Wen:
Applied Machine Learning Methods for Time Series Forecasting. CIKM 2022: 5175-5176 - [c15]Linsey Pang, Wei Liu, Keng-hao Chang, Xue Li, Moumita Bhattacharya, Xianjing Liu, Stephen D. Guo:
Deep Search Relevance Ranking in Practice. KDD 2022: 4810-4811 - [c14]Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic, Kuang-Chih Lee, Kun Liu, Wei Liu, Linsey Pang, Vladan Radosavljevic, Suju Rajan, Kexin Xie:
AdKDD 2022. KDD 2022: 4852-4853 - 2021
- [j3]Yixian Chen, Prakhar Mehrotra, Nitin Kishore Sai Samala, Kamilia Ahmadi, Viresh Jivane, Linsey Pang, Monika Shrivastav, Nate Lyman, Scott Pleiman:
A Multiobjective Optimization for Clearance in Walmart Brick-and-Mortar Stores. INFORMS J. Appl. Anal. 51(1): 76-89 (2021) - [c13]Ketki Gupte, Linsey Pang, Harshada Vuyyuri, Sujitha Pasumarty:
Multimodal Product Matching and Category Mapping: Text+Image based Deep Neural Network. IEEE BigData 2021: 4500-4505 - [c12]Jianpeng Xu, Lingfei Wu, Xiaolin Pang, Mohit Sharma, Dawei Yin, George Karypis, Justin Basilico, Philip S. Yu:
2nd International Workshop on Industrial Recommendation Systems (IRS). KDD 2021: 4173-4174 - 2020
- [c11]Stefano Giovanni Rizzo, Yixian Chen, Linsey Pang, Ji Lucas, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Sanjay Chawla:
Prescriptive Learning for Air-Cargo Revenue Management. ICDM 2020: 462-471 - [c10]Prakhar Mehrotra, Linsey Pang, Karthick Gopalswamy, Avinash Thangali, Timothy Winters, Ketki Gupte, Dnyanesh Kulkarni, Sunil Potnuru, Supreeth Shastry, Harshada Vuyyuri:
Price Investment using Prescriptive Analytics and Optimization in Retail. KDD 2020: 3136-3144 - [i2]Stefano Giovanni Rizzo, Linsey Pang, Yixian Chen, Sanjay Chawla:
Probabilistic Outlier Detection and Generation. CoRR abs/2012.12394 (2020)
2010 – 2019
- 2014
- [b1]Xiaolin Pang:
Scalable Algorithms for Outlier Detection. University of Sydney, Australia, 2014 - [c9]Lionel Ott, Linsey Xiaolin Pang, Fabio Tozeto Ramos, Sanjay Chawla:
On Integrated Clustering and Outlier Detection. NIPS 2014: 1359-1367 - [i1]Lionel Ott, Linsey Xiaolin Pang, Fabio Ramos, David Howe, Sanjay Chawla:
Integer Programming Relaxations for Integrated Clustering and Outlier Detection. CoRR abs/1403.1329 (2014) - 2013
- [j2]Linsey Xiaolin Pang, Sanjay Chawla, Wei Liu, Yu Zheng:
On detection of emerging anomalous traffic patterns using GPS data. Data Knowl. Eng. 87: 357-373 (2013) - [c8]Linsey Xiaolin Pang, Sanjay Chawla, Bernhard Scholz, Georgina Wilcox:
A Scalable Approach for LRT Computation in GPGPU Environments. APWeb 2013: 595-608 - 2011
- [c7]Linsey Xiaolin Pang, Sanjay Chawla, Wei Liu, Yu Zheng:
On Mining Anomalous Patterns in Road Traffic Streams. ADMA (2) 2011: 237-251
2000 – 2009
- 2004
- [c6]Suiping Zhou, Stephen John Turner, Wentong Cai, Hanfeng Zhao, Xiaolin Pang:
A Utility Model for Timely State Update in Distributed Wargame Simulations. PADS 2004: 105-111 - 2003
- [j1]Yan Wang, Xiaolin Pang:
Security and Robustness Enhanced Route Structures for Mobile Agents. Mob. Networks Appl. 8(4): 413-423 (2003) - [c5]Xiaolin Pang, Barbara Catania, Kian-Lee Tan:
Securing Your Data in Agent-Based P2P Systems. DASFAA 2003: 55-62 - 2002
- [c4]Yan Wang, Kian-Lee Tan, Xiaolin Pang:
Several Structures for Protecting the Routes of Mobile Agents Dispatched in Parallel. DEXA Workshops 2002: 734-738 - [c3]Yan Wang, Kian-Lee Tan, Xiaolin Pang:
A Parallel Dispatch Model with Secure and Robust Routes for Mobile Agents. EC-Web 2002: 129-138 - [c2]Xiaolin Pang, Kian-Lee Tan, Yan Wang, Jian Ren:
A Secure Agent-Mediated Payment Protocol. ICICS 2002: 422-433 - 2001
- [c1]Jian Ren, Yan Wang, Xiaolin Pang, Kian-Lee Tan:
A 2-Phase Evaluation Model for Agent-Mediated Internet Marketplaces. WISE (1) 2001: 63-71
Coauthor Index
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