Linsey Pang

47 papers A* 10A 6B 1Journal 19Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Ada-RS: Adaptive Rejection Sampling for Selective Thinking.
CoRR
Yirou Ge, Yixi Li, Alec Chiu, Shivani Shekhar, Zijie Pan, Avinash Thangali, Yun-Shiuan Chuang, Chaitanya Kulkarni, Uma Kona, Linsey Pang, Prakhar Mehrotra
2026 J jnl
MCPShield: A Security Cognition Layer for Adaptive Trust Calibration in Model Context Protocol Agents.
CoRR
Zhenhong Zhou, Yuanhe Zhang, Hongwei Cai, Moayad Aloqaily, Ouns Bouachir, Linsey Pang, Prakhar Mehrotra, Kun Wang, Qingsong Wen
2026 J jnl
Soft Clustering Anchors for Self-Supervised Speech Representation Learning in Joint Embedding Prediction Architectures.
CoRR
Georgios Ioannides, Adrian Kieback, Judah Goldfeder, Linsey Pang, Aman Chadha, Aaron Elkins, Yann LeCun, Ravid Shwartz-Ziv
2026 J jnl
Toward Scalable Verifiable Reward: Proxy State-Based Evaluation for Multi-turn Tool-Calling LLM Agents.
CoRR
Yun-Shiuan Chuang, Chaitanya Kulkarni, Alec Chiu, Avinash Thangali, Zijie Pan, Shivani Shekhar, Yirou Ge, Yixi Li, Uma Kona, Linsey Pang, Prakhar Mehrotra
2025 — conf
A Survey on Trustworthy LLM Agents: Threats and Countermeasures.
KDD (2)
Miao Yu, Fanci Meng, Xinyun Zhou, Shilong Wang, Junyuan Mao, Linsey Pang, Tianlong Chen, Kun Wang, Xinfeng Li, Yongfeng Zhang, Bo An, Qingsong Wen
2025 J jnl
A Survey on Trustworthy LLM Agents: Threats and Countermeasures.
CoRR
Miao Yu, Fanci Meng, Xinyun Zhou, Shilong Wang, Junyuan Mao, Linsey Pang, Tianlong Chen, Kun Wang, Xinfeng Li, Yongfeng Zhang, Bo An, Qingsong Wen
2025 — conf
AdKDD 2025.
KDD (2)
Abraham Bagherjeiran, Nemanja Djuric, Kuang-Chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan
2025 J jnl
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape.
SIGKDD Explor.
Tiejin Chen, Wenwang Huang, Linsey Pang, Dongsheng Luo, Hua Wei
2025 J jnl
Automating Personalization: Prompt Optimization for Recommendation Reranking.
CoRR
Chen Wang, Mingdai Yang, Zhiwei Liu, Pan Li, Linsey Pang, Qingsong Wen, Philip S. Yu
2025 J jnl
Backdoor Collapse: Eliminating Unknown Threats via Known Backdoor Aggregation in Language Models.
CoRR
Liang Lin, Miao Yu, Moayad Aloqaily, Zhenhong Zhou, Kun Wang, Linsey Pang, Prakhar Mehrotra, Qingsong Wen
2025 A conf
CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic.
SDM
Huaiyuan Yao, Longchao Da, Vishnu Nandam, Justin Turnau, Zhiwei Liu, Linsey Pang, Hua Wei
2025 J jnl
JEPA as a Neural Tokenizer: Learning Robust Speech Representations with Density Adaptive Attention.
CoRR
Georgios Ioannides, Christos Constantinou, Aman Chadha, Aaron Elkins, Linsey Pang, Ravid Shwartz-Ziv, Yann LeCun
2025 — conf
LLM Powered Sequential Recommender.
ICDM (Workshops)
Connor Lee, Bin Dong, Linsey Pang
2025 J jnl
NEMO-4-PAYPAL: Leveraging NVIDIA's Nemo Framework for empowering PayPal's Commerce Agent.
CoRR
Ali Sahami, Sudhanshu Garg, Andrew Wang, Chaitanya Kulkarni, Farhad Farahani, Sean Yun-Shiuan Chuang, Jian Wan, Srinivasan Manoharan, Uma Kona, Nitin Sharma, Linsey Pang, Prakhar Mehrotra, Jessica Clark, Mark Moyou
2025 J jnl
Normalized Cut with Reinforcement Learning in Constrained Action Space.
CoRR
Qize Jiang, Linsey Pang, Alice Gatti, Mahima Aggarwal, Giovanna Vantini, Xiaosong Ma, Weiwei Sun, Sanjay Chawla
2025 J jnl
Recommender Systems Meet Large Language Model Agents: A Survey.
Found. Trends Priv. Secur.
Xi Zhu, Yu Wang, Hang Gao, Wujiang Xu, Chen Wang, Zhiwei Liu, Kun Wang, Mingyu Jin, Linsey Pang, Qingsong Weng, Philip S. Yu, Yongfeng Zhang
2025 — conf
The 3rd Workshop on AI Agent for Information Retrieval: Generating and Ranking.
WWW (Companion Volume)
Qingsong Wen, Yongfeng Zhang, Zhiwei Liu, Julian J. McAuley, Hua Wei, Linsey Pang, Wei Liu, Philip S. Yu
2025 — conf
The 4th Workshop on AI Agent for Information Retrieval: Generating and Ranking.
KDD (2)
Qingsong Wen, Yongfeng Zhang, Zhiwei Liu, Julian J. McAuley, Hua Wei, Linsey Pang, Wei Liu, Philip S. Yu
2024 A conf
AI Agent for Information Retrieval: Generating and Ranking.
CIKM
Yongfeng Zhang, Zhiwei Liu, Qingsong Wen, Linsey Pang, Wei Liu, Philip S. Yu
2024 A* conf
AdKDD 2024.
KDD
Abraham Bagherjeiran, Nemanja Djuric, Kuang-Chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan
2024 J jnl
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape.
CoRR
Tiejin Chen, Wenwang Huang, Linsey Pang, Dongsheng Luo, Hua Wei
2024 J jnl
CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic.
CoRR
Huaiyuan Yao, Longchao Da, Vishnu Nandam, Justin Turnau, Zhiwei Liu, Linsey Pang, Hua Wei
2024 — ed.
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.
AdKDD@KDD
Abraham Bagherjeiran, Nemanja Djuric, Kuang-Chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan
2024 J jnl
S
CoRR
Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla
2024 A* conf
S2AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic.
ICLR
Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla
2024 B conf
Sequential Recommendation via Adaptive Robust Attention with Multi-dimensional Embeddings.
IEEE Big Data
Linsey Pang, Amir Hossein Raffiee, Wei Liu, Keld Lundgaard
2024 J jnl
Sequential Recommendation via Adaptive Robust Attention with Multi-dimensional Embeddings.
CoRR
Linsey Pang, Amir Hossein Raffiee, Wei Liu, Keld Lundgaard
2024 A conf
Stable Synthetic Control with Anomaly Detection for Causal Inference.
SDM
Qiang Li, Yiqiao Sun, Linsey Pang, Liang Sun, Qingsong Wen
2024 A* conf
The 2nd International Workshop: From Innovation to Scale (I2S) - Successfully Build, Commercialize, and Scale AI Innovations.
KDD
Ankur Teredesai, Michael Zeller, Mohak Shah, Shenghua Bao, Wee Hyong Tok, Linsey Pang
2024 A conf
The 3rd International Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom 2024).
WSDM
Vachik S. Dave, Linsey Pang, Xiquan Cui, Chen Luo, Hamed Zamani, Lingfei Wu, George Karypis
2023 A* conf
AdKDD 2023.
KDD
Abraham Bagherjeiran, Nemanja Djuric, Kuang-Chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan
2023 A* conf
Foundations and Applications in Large-scale AI Models: Pre-training, Fine-tuning, and Prompt-based Learning.
KDD
Derek Zhiyuan Cheng, Dhaval Patel, Linsey Pang, Sameep Mehta, Kexin Xie, Ed H. Chi, Wei Liu, Nitesh V. Chawla, James Bailey
2023 A* conf
From Innovation to Scale (I2S) - Discuss and Learn How to Successfully Build, Commercialize, and Scale AI Innovations in Challenging Market Conditions.
KDD
Ankur Teredesai, Michael Zeller, Shenghua Bao, Wee Hyong Tok, Linsey Pang
2023 — ed.
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.
AMLTS
Wei Liu, Linsey Pang
2023 — ed.
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.
AdKDD@KDD
Abraham Bagherjeiran, Nemanja Djuric, Kuang-Chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan
2023 — ed.
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.
DL4SR@CIKM
Wei Liu, Linsey Pang
2023 — conf
The 2nd Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom).
WWW (Companion Volume)
Vachik S. Dave, Linsey Pang, Xiquan Cui, Lingfei Wu, Hamed Zamani, George Karypis
2022 A* conf
AdKDD 2022.
KDD
Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic, Kuang-Chih Lee, Kun Liu, Wei Liu, Linsey Pang, Vladan Radosavljevic, Suju Rajan, Kexin Xie
2022 A conf
Applied Machine Learning Methods for Time Series Forecasting.
CIKM
Linsey Pang, Wei Liu, Lingfei Wu, Kexin Xie, Stephen D. Guo, Raghav Chalapathy, Musen Wen
2022 A conf
Deep Learning for Search and Recommendation.
CIKM
Wei Liu, Kexin Xie, Linsey Pang, James Bailey, Longbing Cao, Yuxi Zhang
2022 A* conf
Deep Search Relevance Ranking in Practice.
KDD
Linsey Pang, Wei Liu, Keng-hao Chang, Xue Li, Moumita Bhattacharya, Xianjing Liu, Stephen D. Guo
2022 J jnl
Uncertainty-bounded reinforcement learning for revenue optimization in air cargo: a prescriptive learning approach.
Knowl. Inf. Syst.
Stefano Giovanni Rizzo, Yixian Chen, Linsey Pang, Ji Lucas, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Sanjay Chawla
2021 J jnl
A Multiobjective Optimization for Clearance in Walmart Brick-and-Mortar Stores.
INFORMS J. Appl. Anal.
Yixian Chen, Prakhar Mehrotra, Nitin Kishore Sai Samala, Kamilia Ahmadi, Viresh Jivane, Linsey Pang, Monika Shrivastav, Nate Lyman, Scott Pleiman
2021 — conf
Multimodal Product Matching and Category Mapping: Text+Image based Deep Neural Network.
IEEE BigData
Ketki Gupte, Linsey Pang, Harshada Vuyyuri, Sujitha Pasumarty
2020 A* conf
Prescriptive Learning for Air-Cargo Revenue Management.
ICDM
Stefano Giovanni Rizzo, Yixian Chen, Linsey Pang, Ji Lucas, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Sanjay Chawla
2020 A* conf
Price Investment using Prescriptive Analytics and Optimization in Retail.
KDD
Prakhar Mehrotra, Linsey Pang, Karthick Gopalswamy, Avinash Thangali, Timothy Winters, Ketki Gupte, Dnyanesh Kulkarni, Sunil Potnuru, Supreeth Shastry, Harshada Vuyyuri
2020 J jnl
Probabilistic Outlier Detection and Generation.
CoRR
Stefano Giovanni Rizzo, Linsey Pang, Yixian Chen, Sanjay Chawla