Zhimeng Jiang

Na Zou

CoRR, January, 2026

A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2026

2025

TransactionGPT.

[BibT_eX]

[DOI]

CoRR, November, 2025

Data-centric Artificial Intelligence: A Survey.

[BibT_eX]

[DOI]

ACM Comput. Surv., May, 2025

Towards Efficient Large Scale Spatial-Temporal Time Series Forecasting via Improved Inverted Transformers.

[BibT_eX]

[DOI]

Jiarui Sun

CoRR, March, 2025

A Compact Model for Large-Scale Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, February, 2025

Counterfactual Fairness on Graphs: Augmentations, Hidden Confounders, and Identifiability.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2025

CODA: Temporal Domain Generalization via Concept Drift Simulator.

[BibT_eX]

[DOI]

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

On Explaining Equivariant Graph Networks via Improved Relevance Propagation.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Understanding and Mitigating Memorization in Diffusion Models for Tabular Data.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem.

[BibT_eX]

[DOI]

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

Enhancing Foundation Models in Transaction Understanding with LLM-based Sentence Embeddings.

[BibT_eX]

[DOI]

Xiran Fan

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

You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time.

[BibT_eX]

[DOI]

Proceedings of the Conference on Parsimony and Learning, 2025

UltraSTF: Ultra-Compact Model for Large-Scale Spatio-Temporal Forecasting.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2025

EiFormer: Improving Inverted Transformers for Efficient Time Series Forecasting in Large-Scale Spatial-Temporal Data.

[BibT_eX]

[DOI]

Jiarui Sun

Proceedings of the IEEE International Conference on Big Data, 2025

MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation.

[BibT_eX]

[DOI]

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

2024

Better Late Than Never: Formulating and Benchmarking Recommendation Editing.

[BibT_eX]

[DOI]

CoRR, 2024

LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Gradient Rewiring for Editable Graph Neural Network Training.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Shaochen (Henry) Zhong

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

LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning.

[BibT_eX]

[DOI]

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

Chasing Fairness in Graphs: A GNN Architecture Perspective.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

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

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Retiring ΔDP: New Distribution-Level Metrics for Demographic Parity.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Adaptive RiskAware Bidding with Budget Constraint in Display Advertising.

[BibT_eX]

[DOI]

SIGKDD Explor., 2023

GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length.

[BibT_eX]

[DOI]

CoRR, 2023

Editable Graph Neural Network for Node Classifications.

[BibT_eX]

[DOI]

CoRR, 2023

Weight Perturbation Can Help Fairness under Distribution Shift.

[BibT_eX]

[DOI]

CoRR, 2023

Retiring $Δ$DP: New Distribution-Level Metrics for Demographic Parity.

[BibT_eX]

[DOI]

CoRR, 2023

Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

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

[BibT_eX]

[DOI]

Zhimeng Stephen Jiang

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

Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach.

[BibT_eX]

[DOI]

Zhimeng Stephen Jiang

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

Fair Graph Distillation.

[BibT_eX]

[DOI]

Qizhang Feng

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

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

DIVISION: Memory Efficient Training via Dual Activation Precision.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Graph Mixup with Soft Alignments.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Learning Fair Graph Representations via Automated Data Augmentations.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Towards Generating Adversarial Examples on Mixed-type Data.

[BibT_eX]

[DOI]

CoRR, 2022

Towards Memory Efficient Training via Dual Activation Precision.

[BibT_eX]

[DOI]

CoRR, 2022

BED: A Real-Time Object Detection System for Edge Devices.

[BibT_eX]

[DOI]

Alfredo Costilla-Reyes

CoRR, 2022

FMP: Toward Fair Graph Message Passing against Topology Bias.

[BibT_eX]

[DOI]

CoRR, 2022

Geometric Graph Representation Learning via Maximizing Rate Reduction.

[BibT_eX]

[DOI]

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

G-Mixup: Graph Data Augmentation for Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 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

Generalized Demographic Parity for Group Fairness.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

BED: A Real-Time Object Detection System for Edge Devices.

[BibT_eX]

[DOI]

Alfredo Costilla-Reyes

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

2021

On the Achievable Rate and Capacity for a Sample-Based Practical Photon-Counting Receiver.

[BibT_eX]

[DOI]

IEEE Trans. Commun., 2021

2020

On the sum-rate capacity of poisson multiple access channel with non-perfect photon-counting receiver.

[BibT_eX]

[DOI]

J. Commun. Inf. Networks, 2020

2019

Clipping Noise and Power Allocation for OFDM-Based Optical Wireless Communication Using Photon Detection.

[BibT_eX]

[DOI]

IEEE Wirel. Commun. Lett., 2019

Achievable Rates and Signal Detection for Photon-Level Photomultiplier Receiver Based on Statistical Non-Linear Model.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2019

A Doub-station Access Protocol based on CSMA/CA for Optical Wireless Networks.

[BibT_eX]

[DOI]

CoRR, 2019

On the Achievable Rate of a Sample-based Practical Photon-counting Receiver.

[BibT_eX]

[DOI]

CoRR, 2019

A Statistical Non-Linear Model and Analysis for Photon-Level Photomultiplier Receiver.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Achievable Rate Bounds on Poisson Channel with a Sample-Based Practical Photon-Counting Receiver.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Communications Workshops, 2019

2018

Statistical Non-linear Model, Achievable Rates and Signal Detection for Photon-level Photomultiplier Receiver.

[BibT_eX]

[DOI]