Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Data Poisoning for In-context Learning.

[BibT_eX]

[DOI]

Pengfei He

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

A Scalable Pretraining Framework for Link Prediction with Efficient Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

The 2nd Workshop on Large Language Models for E-Commerce.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Rethinking Large Language Model Architectures for Sequential Recommendations.

[BibT_eX]

[DOI]

Devendra Pratap Yadav

Fei Wang

Zhen Wen

Hui Liu

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Learning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization.

[BibT_eX]

[DOI]

Yasemin Copur-Gencturk

Proceedings of the 18th International Conference on Educational Data Mining, 2025

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Superiority of Multi-Head Attention: A Theoretical Study in Shallow Transformers in In-Context Linear Regression.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Red-Teaming LLM Multi-Agent Systems via Communication Attacks.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

A General Framework to Enhance Fine-tuning-based LLM Unlearning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Ask-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

DiffusionShield: A Watermark for Data Copyright Protection against Generative Diffusion Models.

[BibT_eX]

[DOI]

SIGKDD Explor., December, 2024

FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models.

[BibT_eX]

[DOI]

SIGKDD Explor., December, 2024

A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability.

[BibT_eX]

[DOI]

Mach. Intell. Res., December, 2024

Empowering Molecule Discovery for Molecule-Caption Translation With Large Language Models: A ChatGPT Perspective.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2024

Unpacking Political Bias in Large Language Models: Insights Across Topic Polarization.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective.

[BibT_eX]

[DOI]

CoRR, 2024

Does your LLM truly unlearn? An embarrassingly simple approach to recover unlearned knowledge.

[BibT_eX]

[DOI]

CoRR, 2024

Exploring Social Desirability Response Bias in Large Language Models: Evidence from GPT-4 Simulations.

[BibT_eX]

[DOI]

CoRR, 2024

Towards the Effect of Examples on In-Context Learning: A Theoretical Case Study.

[BibT_eX]

[DOI]

CoRR, 2024

A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization.

[BibT_eX]

[DOI]

Yasemin Copur-Gencturk

Jiliang Tang

CoRR, 2024

A Survey of Mamba.

[BibT_eX]

[DOI]

CoRR, 2024

Six-CD: Benchmarking Concept Removals for Benign Text-to-image Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2024

Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data.

[BibT_eX]

[DOI]

CoRR, 2024

Rethinking Large Language Model Architectures for Sequential Recommendations.

[BibT_eX]

[DOI]

CoRR, 2024

Mixture of Link Predictors.

[BibT_eX]

[DOI]

CoRR, 2024

[BibT_eX]

[DOI]

CoRR, 2024

Neural Style Protection: Counteracting Unauthorized Neural Style Transfer.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Mixture of Link Predictors on Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

A Pure Transformer Pretraining Framework on Text-Attributed Graphs.

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 26-29 November 2024, Virtual., 2024

Sharpness-Aware Data Poisoning Attack.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Structural Fairness-aware Active Learning for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Label-free Node Classification on Graphs with Large Language Models (LLMs).

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Are Large Language Models (LLMs) Good Social Predictors?

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

On the Generalization of Training-based ChatGPT Detection Methods.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Spectral-Aware Augmentation for Enhanced Graph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Content Knowledge Identification with Multi-agent Large Language Models (LLMs).

[BibT_eX]

[DOI]

Yasemin Copur-Gencturk

Jiliang Tang

Hui Liu

Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024

2023

Adversarial Attacks for Black-Box Recommender Systems via Copying Transferable Cross-Domain User Profiles.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2023

Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs.

[BibT_eX]

[DOI]

SIGKDD Explor., December, 2023

Learning fair models without sensitive attributes: A generative approach.

[BibT_eX]

[DOI]

Neurocomputing, December, 2023

Augment with Care: Enhancing Graph Contrastive Learning with Selective Spectrum Perturbation.

[BibT_eX]

[DOI]

CoRR, 2023

FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

Sharpness-Aware Data Poisoning Attack.

[BibT_eX]

[DOI]

CoRR, 2023

Self-Explainable Graph Neural Networks for Link Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

Counterfactual Learning on Graphs: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Enhancing Graph Representations Learning with Decorrelated Propagation.

[BibT_eX]

[DOI]

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

Generative Diffusion Models on Graphs: Methods and Applications.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Probabilistic Categorical Adversarial Attack and Adversarial Training.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Single-Cell Multimodal Prediction via Transformers.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

A Mix-up Strategy to Enhance Adversarial Training with Imbalanced Data.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Learning Representations for Hyper-Relational Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

2022

Rating Distribution Calibration for Selection Bias Mitigation in Recommendations.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels.

[BibT_eX]

[DOI]

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Enhancing Individual Fairness through Propensity Score Matching.

[BibT_eX]

[DOI]

Hamid Karimi

Muhammad Fawad Akbar Khan

Haochen Liu

Tyler Derr

Hui Liu

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations.

[BibT_eX]

[DOI]

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

Toward Annotator Group Bias in Crowdsourcing.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Multi-Type Urban Crime Prediction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

The Untold Secrets of WiFi-Calling Services: Vulnerabilities, Attacks, and Countermeasures.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., 2021

UserSim: User Simulation via Supervised GenerativeAdversarial Network.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

AutoDim: Field-aware Embedding Dimension Searchin Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Yet Meta Learning Can Adapt Fast, it Can Also Break Easily.

[BibT_eX]

[DOI]

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

AutoLoss: Automated Loss Function Search in Recommendations.

[BibT_eX]

[DOI]

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

Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection.

[BibT_eX]

[DOI]

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

AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

Attacking Black-box Recommendations via Copying Cross-domain User Profiles.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

FIT: On-the-Fly, In-Situ Training for SNR-Based Rate Selection.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2020

Adversarial Attacks and Defenses in Images, Graphs and Text: A Review.

[BibT_eX]

[DOI]

Int. J. Autom. Comput., 2020

Architecture and experimental evaluation of context-aware adaptation in vehicular networks.

[BibT_eX]

[DOI]

EURASIP J. Wirel. Commun. Netw., 2020

Memory-efficient Embedding for Recommendations.

[BibT_eX]

[DOI]

CoRR, 2020

Learning from Incomplete Labeled Data via Adversarial Data Generation.

[BibT_eX]

[DOI]

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

Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Sequence Learning with Side Dependencies.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Does Gender Matter? Towards Fairness in Dialogue Systems.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Whole-Chain Recommendations.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Learning Multi-Level Dependencies for Robust Word Recognition.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

The Untold Secrets of Operational Wi-Fi Calling Services: Vulnerabilities, Attacks, and Countermeasures.

[BibT_eX]

[DOI]

CoRR, 2018

2016

Geometry-based channel recognition for context-aware applications.

[BibT_eX]

[DOI]

Proceedings of the 14th International Symposium on Modeling and Optimization in Mobile, 2016

WhiteMesh: Leveraging white spaces in wireless mesh networks.

[BibT_eX]

[DOI]

Proceedings of the 14th International Symposium on Modeling and Optimization in Mobile, 2016

2015

FIT: On-the-fly, in-situ training with sensor data for SNR-based rate selection.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Wireless Communications and Networking Conference, 2015

2014

A measurement study of white spaces across diverse population densities.

[BibT_eX]

[DOI]

Proceedings of the 12th International Symposium on Modeling and Optimization in Mobile, 2014

2013

Leveraging diverse propagation and context for multi-modal vehicular applications.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Symposium on Wireless Vehicular Communications, 2013

Outlier detection for training-based adaptive protocols.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013

2012

Optimal Placement and Configuration of Roadside Units in Vehicular Networks.

[BibT_eX]

[DOI]

Yingsi Liang

Hui Liu

Dinesh Rajan

Proceedings of the 75th IEEE Vehicular Technology Conference, 2012

ASTRA: Application of sequential training to rate adaptation.

[BibT_eX]

[DOI]

Proceedings of the 9th Annual IEEE Communications Society Conference on Sensor, 2012

Design and experimental evaluation of context-aware link-level adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

Hui Liu

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