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ORCIDZhimeng Jiang
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2020 – today
- 2024
[c20]Zhimeng Jiang
, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu:
Chasing Fairness in Graphs: A GNN Architecture Perspective. AAAI 2024: 21214-21222- [c19]Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu:
LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning. ICML 2024 - [c18]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:
GNNs Also Deserve Editing, and They Need It More Than Once. ICML 2024 - [c17]Huiyuan Chen, Vivian Lai, Hongye Jin, Zhimeng Jiang, Mahashweta Das, Xia Hu:
Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering. WSDM 2024: 106-115 - [i26]Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu:
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning. CoRR abs/2401.01325 (2024) - [i25]Chengyu Lai, Sheng Zhou, Zhimeng Jiang, Qiaoyu Tan, Yuanchen Bei, Jiawei Chen, Ningyu Zhang, Jiajun Bu:
Better Late Than Never: Formulating and Benchmarking Recommendation Editing. CoRR abs/2406.04553 (2024) - [i24]Zhimeng Jiang, Zirui Liu, Xiaotian Han, Qizhang Feng, Hongye Jin, Qiaoyu Tan, Kaixiong Zhou, Na Zou, Xia Ben Hu:
Gradient Rewiring for Editable Graph Neural Network Training. CoRR abs/2410.15556 (2024) - [i23]Zhengyu Fang, Zhimeng Jiang, Huiyuan Chen, Xiao Li, Jing Li:
Understanding and Mitigating Memorization in Diffusion Models for Tabular Data. CoRR abs/2412.11044 (2024) - 2023
- [j7]Zhimeng Jiang, Kaixiong Zhou, Mi Zhang, Rui Chen, Xia Hu, Soo-Hyun Choi:
Adaptive RiskAware Bidding with Budget Constraint in Display Advertising. SIGKDD Explor. 25(1): 73-82 (2023) - [j6]Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu:
Retiring ΔDP: New Distribution-Level Metrics for Demographic Parity. Trans. Mach. Learn. Res. 2023 (2023) - [j5]Zirui Liu, Kaixiong Zhou, Zhimeng Jiang, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu:
DSpar: An Embarrassingly Simple Strategy for Efficient GNN training and inference via Degree-based Sparsification. Trans. Mach. Learn. Res. 2023 (2023) - [c16]Hongyi Ling, Zhimeng Jiang, Youzhi Luo, Shuiwang Ji, Na Zou:
Learning Fair Graph Representations via Automated Data Augmentations. ICLR 2023 - [c15]Hongyi Ling, Zhimeng Jiang, Meng Liu, Shuiwang Ji, Na Zou:
Graph Mixup with Soft Alignments. ICML 2023: 21335-21349 - [c14]Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Ben Hu:
DIVISION: Memory Efficient Training via Dual Activation Precision. ICML 2023: 36036-36057 - [c13]Huiyuan Chen, Kaixiong Zhou, Zhimeng Jiang, Chin-Chia Michael Yeh, Xiaoting Li, Menghai Pan, Yan Zheng, Xia Hu, Hao Yang:
Probabilistic Masked Attention Networks for Explainable Sequential Recommendation. IJCAI 2023: 2068-2076 - [c12]Qizhang Feng, Zhimeng Stephen Jiang, Ruiquan Li, Yicheng Wang, Na Zou, Jiang Bian, Xia Hu:
Fair Graph Distillation. NeurIPS 2023 - [c11]Zhimeng Stephen Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Rui Chen, Na Zou, Xia Hu:
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach. NeurIPS 2023 - [c10]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:
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model. NeurIPS 2023 - [c9]Junnan Dong, Qinggang Zhang, Xiao Huang, Keyu Duan, Qiaoyu Tan, Zhimeng Jiang:
Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs. WWW 2023: 2519-2527 - [i22]Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu:
Retiring $Δ$DP: New Distribution-Level Metrics for Demographic Parity. CoRR abs/2301.13443 (2023) - [i21]Zhimeng Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Na Zou, Xia Ben Hu:
Weight Perturbation Can Help Fairness under Distribution Shift. CoRR abs/2303.03300 (2023) - [i20]Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Zhimeng Jiang, Shaochen Zhong, Xia Hu:
Data-centric Artificial Intelligence: A Survey. CoRR abs/2303.10158 (2023) - [i19]Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang Tang, Zhimeng Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Ben Hu:
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model. CoRR abs/2305.15265 (2023) - [i18]Zirui Liu, Zhimeng Jiang, Shaochen Zhong, Kaixiong Zhou, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu:
Editable Graph Neural Network for Node Classifications. CoRR abs/2305.15529 (2023) - [i17]Hongyi Ling, Zhimeng Jiang, Meng Liu, Shuiwang Ji, Na Zou:
Graph Mixup with Soft Alignments. CoRR abs/2306.06788 (2023) - [i16]Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Chia-Yuan Chang, Xia Hu:
GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length. CoRR abs/2310.00576 (2023) - [i15]Chia-Yuan Chang, Yu-Neng Chuang, Zhimeng Jiang, Kwei-Herng Lai, Anxiao Jiang, Na Zou:
CODA: Temporal Domain Generalization via Concept Drift Simulator. CoRR abs/2310.01508 (2023) - [i14]Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu:
Chasing Fairness in Graphs: A GNN Architecture Perspective. CoRR abs/2312.12369 (2023) - [i13]Huiyuan Chen, Vivian Lai, Hongye Jin, Zhimeng Jiang, Mahashweta Das, Xia Hu:
Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering. CoRR abs/2312.17468 (2023) - 2022
- [c8]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:
BED: A Real-Time Object Detection System for Edge Devices. CIKM 2022: 4994-4998 - [c7]Zhimeng Jiang, Xiaotian Han, Chao Fan, Fan Yang, Ali Mostafavi, Xia Hu:
Generalized Demographic Parity for Group Fairness. ICLR 2022 - [c6]Zhimeng Jiang, Kaixiong Zhou, Zirui Liu, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu:
An Information Fusion Approach to Learning with Instance-Dependent Label Noise. ICLR 2022 - [c5]Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Xia Hu:
G-Mixup: Graph Data Augmentation for Graph Classification. ICML 2022: 8230-8248 - [c4]Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu:
Geometric Graph Representation Learning via Maximizing Rate Reduction. WWW 2022: 1226-1237 - [i12]Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu:
FMP: Toward Fair Graph Message Passing against Topology Bias. CoRR abs/2202.04187 (2022) - [i11]Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu:
Geometric Graph Representation Learning via Maximizing Rate Reduction. CoRR abs/2202.06241 (2022) - [i10]Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Xia Hu:
G-Mixup: Graph Data Augmentation for Graph Classification. CoRR abs/2202.07179 (2022) - [i9]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:
BED: A Real-Time Object Detection System for Edge Devices. CoRR abs/2202.07503 (2022) - [i8]Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Ben Hu:
Towards Memory Efficient Training via Dual Activation Precision. CoRR abs/2208.04187 (2022) - [i7]Han Xu, Menghai Pan, Zhimeng Jiang, Huiyuan Chen, Xiaoting Li, Mahashweta Das, Hao Yang:
Towards Generating Adversarial Examples on Mixed-type Data. CoRR abs/2210.09405 (2022) - [i6]Zhimeng Jiang, Kaixiong Zhou, Mi Zhang, Rui Chen, Xia Hu, Soo-Hyun Choi:
Adaptive Risk-Aware Bidding with Budget Constraint in Display Advertising. CoRR abs/2212.12533 (2022) - 2021
- [j4]Zhimeng Jiang, Chen Gong, Guanchu Wang, Zhengyuan Xu:
On the Achievable Rate and Capacity for a Sample-Based Practical Photon-Counting Receiver. IEEE Trans. Commun. 69(9): 6152-6169 (2021) - 2020
- [j3]Zhimeng Jiang, Chen Gong, Guanchu Wang, Zhengyuan Xu:
On the sum-rate capacity of poisson multiple access channel with non-perfect photon-counting receiver. J. Commun. Inf. Networks 5(3): 335-349 (2020)
2010 – 2019
- 2019
- [j2]Zhimeng Jiang, Chen Gong, Zhengyuan Xu:
Achievable Rates and Signal Detection for Photon-Level Photomultiplier Receiver Based on Statistical Non-Linear Model. IEEE Trans. Wirel. Commun. 18(12): 6015-6029 (2019) - [j1]Zhimeng Jiang, Chen Gong, Zhengyuan Xu:
Clipping Noise and Power Allocation for OFDM-Based Optical Wireless Communication Using Photon Detection. IEEE Wirel. Commun. Lett. 8(1): 237-240 (2019) - [c3]Zhimeng Jiang, Chen Gong, Guanchu Wang, Zhengyuan Xu:
Achievable Rate Bounds on Poisson Channel with a Sample-Based Practical Photon-Counting Receiver. ICC Workshops 2019: 1-6 - [c2]Zhimeng Jiang, Chen Gong, Zhengyuan Xu:
A Statistical Non-Linear Model and Analysis for Photon-Level Photomultiplier Receiver. ICC 2019: 1-6 - [i5]Zhimeng Jiang, Chen Gong, Guanchu Wang, Zhengyuan Xu:
On the Achievable Rate of a Sample-based Practical Photon-counting Receiver. CoRR abs/1901.06218 (2019) - [i4]Guanchu Wang, Chen Gong, Zhimeng Jiang, Zhengyuan Xu:
A Doub-station Access Protocol based on CSMA/CA for Optical Wireless Networks. CoRR abs/1902.08457 (2019) - [i3]Zhimeng Jiang, Chen Gong, Guanchu Wang, Zhengyuan Xu:
On the Sum-Rate Capacity of Poisson Multiple Access Channel with Non-Perfect Photon-Counting Receiver. CoRR abs/1904.09924 (2019) - 2018
- [c1]Guanchu Wang, Chen Gong, Zhimeng Jiang, Zhengyuan Xu:
Characterization on Asynchronous Multiple Access in Non-Line of Sight Scattering Communication. ICC Workshops 2018: 1-6 - [i2]Zhimeng Jiang, Chen Gong, Zhengyuan Xu:
Statistical Non-linear Model, Achievable Rates and Signal Detection for Photon-level Photomultiplier Receiver. CoRR abs/1803.11475 (2018) - [i1]Zhimeng Jiang, Chen Gong, Zhengyuan Xu:
Clipping Noise and Power Allocation for OFDM-Based Optical Wireless Communication Using Photon Detection. CoRR abs/1806.08286 (2018)
Coauthor Index
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