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

SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains.

[BibT_eX]

[DOI]

Ran Xu

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

Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data.

[BibT_eX]

[DOI]

Sheikh Muhammad Sarwar

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

ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Catastrophic Failure of LLM Unlearning via Quantization.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration.

[BibT_eX]

[DOI]

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

Divide-Verify-Refine: Can LLMs Self-align with Complex Instructions?

[BibT_eX]

[DOI]

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

Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models.

[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

Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning.

[BibT_eX]

[DOI]

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

2024

The application prospects of robot pose estimation technology: exploring new directions based on YOLOv8-ApexNet.

[BibT_eX]

[DOI]

Xianfeng Tang

Shuwei Zhao

Frontiers Neurorobotics, 2024

A Survey of Calibration Process for Black-Box LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness.

[BibT_eX]

[DOI]

CoRR, 2024

SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Divide-Verify-Refine: Aligning LLM Responses with Complex Instructions.

[BibT_eX]

[DOI]

CoRR, 2024

Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach.

[BibT_eX]

[DOI]

CoRR, 2024

The 1st International Workshop on Graph Foundation Models (GFM).

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Language Models as Semantic Indexers.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Session-Aware Product filter Ranking in E- Commerce Search.

[BibT_eX]

[DOI]

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

RA-NER: Retrieval augmented NER for knowledge intensive named entity recognition.

[BibT_eX]

[DOI]

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering.

[BibT_eX]

[DOI]

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

Sequential LLM Framework for Fashion Recommendation.

[BibT_eX]

[DOI]

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

Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark.

[BibT_eX]

[DOI]

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

Exploring Query Understanding for Amazon Product Search.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2024

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs.

[BibT_eX]

[DOI]

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

2023

Robust anomaly detection for multivariate time series through temporal GCNs and attention-based VAE.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2023

Self-Explainable Graph Neural Networks for Link Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers.

[BibT_eX]

[DOI]

CoRR, 2023

You Need to Look Globally: Discovering Representative Topology Structures to Enhance Graph Neural Network.

[BibT_eX]

[DOI]

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

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models.

[BibT_eX]

[DOI]

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

A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy.

[BibT_eX]

[DOI]

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

Exploiting Intent Evolution in E-commercial Query Recommendation.

[BibT_eX]

[DOI]

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

HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Jointly Attacking Graph Neural Network and its Explanations.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Short Text Pre-training with Extended Token Classification for E-commerce Query Understanding.

[BibT_eX]

[DOI]

CoRR, 2022

DiP-GNN: Discriminative Pre-Training of Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Condensing Graphs via One-Step Gradient Matching.

[BibT_eX]

[DOI]

CoRR, 2022

MUG: Multi-human Graph Network for 3D Mesh Reconstruction from 2D Pose.

[BibT_eX]

[DOI]

CoRR, 2022

ALLIE: Active Learning on Large-scale Imbalanced Graphs.

[BibT_eX]

[DOI]

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

Friend Story Ranking with Edge-Contextual Local Graph Convolutions.

[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

Task-Agnostic Graph Explanations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

AutoGDA: Automated Graph Data Augmentation for Node Classification.

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 2022

Condensing Graphs via One-Step Gradient Matching.

[BibT_eX]

[DOI]

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

2021

Citywide Traffic Volume Inference with Surveillance Camera Records.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2021

SrVARM: State Regularized Vector Autoregressive Model for Joint Learning of Hidden State Transitions and State-Dependent Inter-Variable Dependencies from Multi-variate Time Series.

[BibT_eX]

[DOI]

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

Quantization Noise Suppression with Noise-shaping Technique in DMT-modulated IM/DD Optical Interconnects utilizing Low-resolution DAC.

[BibT_eX]

[DOI]

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2021

2020

Layer-constrained variational autoencoding kernel density estimation model for anomaly detection.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Find you if you drive: Inferring home locations for vehicles with surveillance camera data.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Graph Convolutional Networks against Degree-Related Biases.

[BibT_eX]

[DOI]

CoRR, 2020

Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Transferring Robustness for Graph Neural Network Against Poisoning Attacks.

[BibT_eX]

[DOI]

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

True Equalization of PDL in Presence of Fast RSOP.

[BibT_eX]

[DOI]

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020

Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps.

[BibT_eX]

[DOI]

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

Graph Structure Learning for Robust Graph Neural Networks.

[BibT_eX]

[DOI]

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

Semi-Supervised Graph-to-Graph Translation.

[BibT_eX]

[DOI]

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

Investigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks.

[BibT_eX]

[DOI]

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

Learning Enriched Features for Video Denoising with Convolutional Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Asia Pacific Conference on Circuits and Systems, 2020

Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values.

[BibT_eX]

[DOI]

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

2019

A Simple Baseline for Travel Time Estimation using Large-scale Trip Data.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2019

Node Injection Attacks on Graphs via Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Robust Graph Neural Network Against Poisoning Attacks via Transfer Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Hybrid Adaptive Cubature Kalman Filter with Unknown Variance of Measurement Noise.

[BibT_eX]

[DOI]

Sensors, 2018

Modeling Spatial-Temporal Dynamics for Traffic Prediction.

[BibT_eX]

[DOI]

CoRR, 2018

Representation Learning for Large-Scale Dynamic Networks.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2018

Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Dual-Mode Index Modulation Aided OFDM With Constellation Power Allocation and Low-Complexity Detector Design.

[BibT_eX]

[DOI]

IEEE Access, 2017

2010

Next-generation E-health communication infrastructure using converged super-broadband optical and wireless access system.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Symposium on a World of Wireless, 2010

2009

Optimization of Phase Regenerator in Differential Phase-Shift Keying Format Communication System.

[BibT_eX]

[DOI]

Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009

Xianfeng Tang

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