Xianfeng Tang

Orcid: 0000-0003-1554-2761

According to our database1, Xianfeng Tang authored at least 66 papers between 2009 and 2024.

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Bibliography

2024
The application prospects of robot pose estimation technology: exploring new directions based on YOLOv8-ApexNet.
Frontiers Neurorobotics, 2024

Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models.
CoRR, 2024

SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains.
CoRR, 2024

A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration.
CoRR, 2024

Does your LLM truly unlearn? An embarrassingly simple approach to recover unlearned knowledge.
CoRR, 2024

Divide-Verify-Refine: Aligning LLM Responses with Complex Instructions.
CoRR, 2024

Exploring Query Understanding for Amazon Product Search.
CoRR, 2024

Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach.
CoRR, 2024

The 1st International Workshop on Graph Foundation Models (GFM).
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Language Models as Semantic Indexers.
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.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Session-Aware Product filter Ranking in E- Commerce Search.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

RA-NER: Retrieval augmented NER for knowledge intensive named entity recognition.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data.
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.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Sequential LLM Framework for Fashion Recommendation.
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.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs.
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.
Knowl. Based Syst., 2023

Self-Explainable Graph Neural Networks for Link Prediction.
CoRR, 2023

HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers.
CoRR, 2023

You Need to Look Globally: Discovering Representative Topology Structures to Enhance Graph Neural Network.
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.
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.
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.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Exploiting Intent Evolution in E-commercial Query Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Jointly Attacking Graph Neural Network and its Explanations.
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.
CoRR, 2022

DiP-GNN: Discriminative Pre-Training of Graph Neural Networks.
CoRR, 2022

Condensing Graphs via One-Step Gradient Matching.
CoRR, 2022

MUG: Multi-human Graph Network for 3D Mesh Reconstruction from 2D Pose.
CoRR, 2022

ALLIE: Active Learning on Large-scale Imbalanced Graphs.
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.
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.
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.
Proceedings of the Learning on Graphs Conference, 2022

Condensing Graphs via One-Step Gradient Matching.
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.
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.
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.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2021

2020
Layer-constrained variational autoencoding kernel density estimation model for anomaly detection.
Knowl. Based Syst., 2020

Find you if you drive: Inferring home locations for vehicles with surveillance camera data.
Knowl. Based Syst., 2020

Graph Convolutional Networks against Degree-Related Biases.
CoRR, 2020

Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach.
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.
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.
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.
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.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Semi-Supervised Graph-to-Graph Translation.
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.
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.
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.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A Simple Baseline for Travel Time Estimation using Large-scale Trip Data.
ACM Trans. Intell. Syst. Technol., 2019

Node Injection Attacks on Graphs via Reinforcement Learning.
CoRR, 2019

Robust Graph Neural Network Against Poisoning Attacks via Transfer Learning.
CoRR, 2019

Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction.
Proceedings of the World Wide Web Conference, 2019

Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference.
Proceedings of the World Wide Web Conference, 2019

MEGAN: A Generative Adversarial Network for Multi-View Network Embedding.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Hybrid Adaptive Cubature Kalman Filter with Unknown Variance of Measurement Noise.
Sensors, 2018

Modeling Spatial-Temporal Dynamics for Traffic Prediction.
CoRR, 2018

Representation Learning for Large-Scale Dynamic Networks.
Proceedings of the Database Systems for Advanced Applications, 2018

Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction.
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.
IEEE Access, 2017

2010
Next-generation E-health communication infrastructure using converged super-broadband optical and wireless access system.
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.
Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009


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