Zhimeng Jiang

According to our database, Zhimeng Jiang authored at least 45 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Gradient Rewiring for Editable Graph Neural Network Training.

Zhimeng Jiang, Zirui Liu, Xiaotian Han, Qizhang Feng, Hongye Jin, Qiaoyu Tan, Kaixiong Zhou, Na Zou, Xia Ben Hu

CoRR, 2024

Better Late Than Never: Formulating and Benchmarking Recommendation Editing.

Chengyu Lai, Sheng Zhou, Zhimeng Jiang, Qiaoyu Tan, Yuanchen Bei, Jiawei Chen, Ningyu Zhang, Jiajun Bu

CoRR, 2024

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

Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu

CoRR, 2024

Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering.

Huiyuan Chen, Vivian Lai, Hongye Jin, Zhimeng Jiang, Mahashweta Das, Xia Hu

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

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

Shaochen Zhong, Duy Le, Zirui Liu, Zhimeng Jiang, Andrew Ye, Jiamu Zhang, Jiayi Yuan, Kaixiong Zhou, Zhaozhuo Xu, Jing Ma, Shuai Xu, Vipin Chaudhary, Xia Hu

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

LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning.

Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu

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

Chasing Fairness in Graphs: A GNN Architecture Perspective.

Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu

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.

Zirui Liu, Kaixiong Zhou, Zhimeng Jiang, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu

Trans. Mach. Learn. Res., 2023

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

Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu

Trans. Mach. Learn. Res., 2023

Adaptive RiskAware Bidding with Budget Constraint in Display Advertising.

Zhimeng Jiang, Kaixiong Zhou, Mi Zhang, Rui Chen, Xia Hu, Soo-Hyun Choi

SIGKDD Explor., 2023

CODA: Temporal Domain Generalization via Concept Drift Simulator.

Chia-Yuan Chang, Yu-Neng Chuang, Zhimeng Jiang, Kwei-Herng Lai, Anxiao Jiang, Na Zou

CoRR, 2023

GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length.

Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Chia-Yuan Chang, Xia Hu

CoRR, 2023

Editable Graph Neural Network for Node Classifications.

Zirui Liu, Zhimeng Jiang, Shaochen Zhong, Kaixiong Zhou, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu

CoRR, 2023

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

Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang Tang, Zhimeng Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Ben Hu

CoRR, 2023

Data-centric Artificial Intelligence: A Survey.

Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Zhimeng Jiang, Shaochen Zhong, Xia Hu

CoRR, 2023

Weight Perturbation Can Help Fairness under Distribution Shift.

Zhimeng Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Na Zou, Xia Ben Hu

CoRR, 2023

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

Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu

CoRR, 2023

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

Junnan Dong, Qinggang Zhang, Xiao Huang, Keyu Duan, Qiaoyu Tan, Zhimeng Jiang

Proceedings of the ACM Web Conference 2023, 2023

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

Zirui Liu, Guanchu Wang, Shaochen (Henry) Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang (Ryan) Tang, Zhimeng Stephen Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Hu

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.

Zhimeng Stephen Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Rui Chen, Na Zou, Xia Hu

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

Fair Graph Distillation.

Qizhang Feng, Zhimeng Stephen Jiang, Ruiquan Li, Yicheng Wang, Na Zou, Jiang Bian, Xia Hu

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.

Huiyuan Chen, Kaixiong Zhou, Zhimeng Jiang, Chin-Chia Michael Yeh, Xiaoting Li, Menghai Pan, Yan Zheng, Xia Hu, Hao Yang

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

DIVISION: Memory Efficient Training via Dual Activation Precision.

Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Ben Hu

Proceedings of the International Conference on Machine Learning, 2023

Graph Mixup with Soft Alignments.

Hongyi Ling, Zhimeng Jiang, Meng Liu, Shuiwang Ji, Na Zou

Proceedings of the International Conference on Machine Learning, 2023

Learning Fair Graph Representations via Automated Data Augmentations.

Hongyi Ling, Zhimeng Jiang, Youzhi Luo, Shuiwang Ji, Na Zou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

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

Zhimeng Jiang, Kaixiong Zhou, Mi Zhang, Rui Chen, Xia Hu, Soo-Hyun Choi

CoRR, 2022

Towards Generating Adversarial Examples on Mixed-type Data.

Han Xu, Menghai Pan, Zhimeng Jiang, Huiyuan Chen, Xiaoting Li, Mahashweta Das, Hao Yang

CoRR, 2022

Towards Memory Efficient Training via Dual Activation Precision.

Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Ben Hu

CoRR, 2022

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

Guanchu Wang, Zaid Pervaiz Bhat, Zhimeng Jiang, Yi-Wei Chen, Daochen Zha, Alfredo Costilla-Reyes, Afshin Niktash, Mehmet Görkem Ulkar, Osman Erman Okman, Xia Ben Hu

CoRR, 2022

FMP: Toward Fair Graph Message Passing against Topology Bias.

Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu

CoRR, 2022

Geometric Graph Representation Learning via Maximizing Rate Reduction.

Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu

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.

Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Xia Hu

Proceedings of the International Conference on Machine Learning, 2022

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

Zhimeng Jiang, Kaixiong Zhou, Zirui Liu, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu

Proceedings of the Tenth International Conference on Learning Representations, 2022

Generalized Demographic Parity for Group Fairness.

Zhimeng Jiang, Xiaotian Han, Chao Fan, Fan Yang, Ali Mostafavi, Xia Hu

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

Guanchu Wang, Zaid Pervaiz Bhat, Zhimeng Jiang, Yi-Wei Chen, Daochen Zha, Alfredo Costilla-Reyes, Afshin Niktash, Mehmet Görkem Ulkar, Osman Erman Okman, Xuanting Cai, Xia Ben Hu

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.

Zhimeng Jiang, Chen Gong, Guanchu Wang, Zhengyuan Xu

IEEE Trans. Commun., 2021

2020

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

Zhimeng Jiang, Chen Gong, Guanchu Wang, Zhengyuan Xu

J. Commun. Inf. Networks, 2020

2019

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

Zhimeng Jiang, Chen Gong, Zhengyuan Xu

IEEE Wirel. Commun. Lett., 2019

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

Zhimeng Jiang, Chen Gong, Zhengyuan Xu

IEEE Trans. Wirel. Commun., 2019

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

Guanchu Wang, Chen Gong, Zhimeng Jiang, Zhengyuan Xu

CoRR, 2019

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

Zhimeng Jiang, Chen Gong, Guanchu Wang, Zhengyuan Xu

CoRR, 2019

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

Zhimeng Jiang, Chen Gong, Zhengyuan Xu

Proceedings of the 2019 IEEE International Conference on Communications, 2019

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

Zhimeng Jiang, Chen Gong, Guanchu Wang, Zhengyuan Xu

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.

Zhimeng Jiang, Chen Gong, Zhengyuan Xu

CoRR, 2018

Characterization on Asynchronous Multiple Access in Non-Line of Sight Scattering Communication.

Guanchu Wang, Chen Gong, Zhimeng Jiang, Zhengyuan Xu

Proceedings of the 2018 IEEE International Conference on Communications Workshops, 2018