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

MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations.

[BibT_eX]

[DOI]

Shaochen Zhong

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

DAMO: Decoding by Accumulating Activations Momentum for Mitigating Hallucinations in Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in Healthcare.

[BibT_eX]

[DOI]

CoRR, 2024

Exploring the Alignment Landscape: LLMs and Geometric Deep Models in Protein Representation.

[BibT_eX]

[DOI]

CoRR, 2024

Cross-Lingual Multi-Hop Knowledge Editing - Benchmarks, Analysis and a Simple Contrastive Learning based Approach.

[BibT_eX]

[DOI]

CoRR, 2024

Benchmark on Drug Target Interaction Modeling from a Structure Perspective.

[BibT_eX]

[DOI]

CoRR, 2024

ProLLM: Protein Chain-of-Thoughts Enhanced LLM for Protein-Protein Interaction Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

Retrieval-Enhanced Knowledge Editing for Multi-Hop Question Answering in Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Privacy-preserving Fine-tuning of Large Language Models through Flatness.

[BibT_eX]

[DOI]

CoRR, 2024

Gradient Rewiring for Editable Graph Neural Network Training.

[BibT_eX]

[DOI]

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

Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

GNNs Also Deserve Editing, and They Need It More Than Once.

[BibT_eX]

[DOI]

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

Soft Prompt Recovers Compressed LLMs, Transferably.

[BibT_eX]

[DOI]

Anshumali Shrivastava

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

TVE: Learning Meta-attribution for Transferable Vision Explainer.

[BibT_eX]

[DOI]

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

Rethinking Independent Cross-Entropy Loss For Graph-Structured Data.

[BibT_eX]

[DOI]

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

Knowledge Graphs Can be Learned with Just Intersection Features.

[BibT_eX]

[DOI]

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

Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Cross-Lingual Multi-Hop Knowledge Editing.

[BibT_eX]

[DOI]

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

Pioneering Reliable Assessment in Text-to-Image Knowledge Editing: Leveraging a Fine-Grained Dataset and an Innovative Criterion.

[BibT_eX]

[DOI]

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

QUEST: Efficient Extreme Multi-Label Text Classification with Large Language Models on Commodity Hardware.

[BibT_eX]

[DOI]

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

Molecular Data Programming: Towards Molecule Pseudo-labeling with Systematic Weak Supervision.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering.

[BibT_eX]

[DOI]

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

COSCO: A Sharpness-Aware Training Framework for Few-shot Multivariate Time Series Classification.

[BibT_eX]

[DOI]

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

Towards Instructing Disease-Drug Link Prediction with Social Determinants of Health.

[BibT_eX]

[DOI]

Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

PokeMQA: Programmable knowledge editing for Multi-hop Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Marginal Nodes Matter: Towards Structure Fairness in Graphs.

[BibT_eX]

[DOI]

SIGKDD Explor., December, 2023

Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

DSpar: An Embarrassingly Simple Strategy for Efficient GNN training and inference via Degree-based Sparsification.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Adaptive RiskAware Bidding with Budget Constraint in Display Advertising.

[BibT_eX]

[DOI]

SIGKDD Explor., 2023

LETA: Learning Transferable Attribution for Generic Vision Explainer.

[BibT_eX]

[DOI]

CoRR, 2023

Editable Graph Neural Network for Node Classifications.

[BibT_eX]

[DOI]

CoRR, 2023

Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model.

[BibT_eX]

[DOI]

CoRR, 2023

Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt.

[BibT_eX]

[DOI]

Anshumali Shrivastava

CoRR, 2023

A Survey of Graph Prompting Methods: Techniques, Applications, and Challenges.

[BibT_eX]

[DOI]

CoRR, 2023

Adaptive Label Smoothing To Regularize Large-Scale Graph Training.

[BibT_eX]

[DOI]

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Context-aware Domain Adaptation for Time Series Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Hessian-aware Quantized Node Embeddings for Recommendation.

[BibT_eX]

[DOI]

Huiyuan Chen

Kaixiong Zhou

Kwei-Herng Lai

Chin-Chia Michael Yeh

Yan Zheng

Xia Hu

Hao Yang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

ENGAGE: Explanation Guided Data Augmentation for Graph Representation Learning.

[BibT_eX]

[DOI]

Yucheng Shi

Kaixiong Zhou

Ninghao Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model.

[BibT_eX]

[DOI]

Zirui Liu

Guanchu Wang

Shaochen (Henry) Zhong

Zhaozhuo Xu

Daochen Zha

Ruixiang (Ryan) Tang

Zhimeng Stephen Jiang

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

Probabilistic Masked Attention Networks for Explainable Sequential Recommendation.

[BibT_eX]

[DOI]

Huiyuan Chen

Kaixiong Zhou

Zhimeng Jiang

Chin-Chia Michael Yeh

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

RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research.

[BibT_eX]

[DOI]

Alfredo Costilla-Reyes

Kaixiong Zhou

Xiaoqian Jiang

Xia Hu

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

2022

Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Auto-GNN: Neural architecture search of graph neural networks.

[BibT_eX]

[DOI]

Frontiers Big Data, 2022

Adaptive Risk-Aware Bidding with Budget Constraint in Display Advertising.

[BibT_eX]

[DOI]

CoRR, 2022

MolCPT: Molecule Continuous Prompt Tuning to Generalize Molecular Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2022

QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2022

RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations.

[BibT_eX]

[DOI]

CoRR, 2022

Differentially Private Counterfactuals via Functional Mechanism.

[BibT_eX]

[DOI]

CoRR, 2022

Adversarial Graph Perturbations for Recommendations at Scale.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Towards Similarity-Aware Time-Series Classification.

[BibT_eX]

[DOI]

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems.

[BibT_eX]

[DOI]

Chin-Chia Michael Yeh

Yan Zheng

Hao Yang

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking.

[BibT_eX]

[DOI]

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

GPPT: Graph Pre-training and Prompt Tuning to Generalize Graph Neural Networks.

[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

Table2Graph: Transforming Tabular Data to Unified Weighted Graph.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

An Information Fusion Approach to Learning with Instance-Dependent Label Noise.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

AdaGCL: Adaptive Subgraph Contrastive Learning to Generalize Large-scale Graph Training.

[BibT_eX]

[DOI]

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

AutoCoG: A Unified Data-Model Co-Search Framework for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Automated Machine Learning, 2022

Orthogonal Graph Neural Networks.

[BibT_eX]

[DOI]

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

2021

CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Simplifying Deep Reinforcement Learning via Self-Supervision.

[BibT_eX]

[DOI]

CoRR, 2021

Temporal Augmented Graph Neural Networks for Session-Based Recommendations.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Dirichlet Energy Constrained Learning for Deep Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

AutoOD: Neural Architecture Search for Outlier Detection.

[BibT_eX]

[DOI]

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

DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Towards Interaction Detection Using Topological Analysis on Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Deep Neural Networks with Knowledge Instillation.

[BibT_eX]

[DOI]

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Towards Deeper Graph Neural Networks with Differentiable Group Normalization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Detecting Interactions from Neural Networks via Topological Analysis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Policy-GNN: Aggregation Optimization for Graph Neural Networks.

[BibT_eX]

[DOI]

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

Multi-Channel Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Multi-Channel Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Auto-GNN: Neural Architecture Search of Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Experience Replay Optimization.

[BibT_eX]

[DOI]

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

2017

Distributed Channel Allocation and Rate Control for Hybrid FSO/RF Vehicular Ad Hoc Networks.

[BibT_eX]

[DOI]

JOCN, 2017

Design and implementation of a novel 100G optical interface protocol converter.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Wireless Communications and Signal Processing, 2017

Design and demonstration of an indoor visible light communication network with dynamic user access and resource allocation.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Wireless Communications and Signal Processing, 2017

Transmissions and Network Management of Multiple 100 GB/s Based on Stacking Technology.

[BibT_eX]

[DOI]

Proceedings of the Communications and Networking, 2017

2016

Inter-cell interference coordination for multi-color visible light communication networks.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015

Enhanced effective SNR prediction for LTE downlink.

[BibT_eX]

[DOI]

Kaixiong Zhou

Lin Zhang

Ming Jiang

Proceedings of the 2015 IEEE/CIC International Conference on Communications in China, 2015

Kaixiong Zhou

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