Zhimeng Jiang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 46

Top Topics

Memory Efficient

Multiple Access

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Message Passing

Top Venues

Publications

Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu
Chasing Fairness in Graphs: A GNN Architecture Perspective. AAAI (2024)
Huiyuan Chen, Vivian Lai, Hongye Jin, Zhimeng Jiang, Mahashweta Das, Xia Hu
Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering. WSDM (2024)
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 (2024)
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 (2024)
Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Chia-Yuan Chang, Xia Hu
GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length. CoRR (2023)
Huiyuan Chen, Vivian Lai, Hongye Jin, Zhimeng Jiang, Mahashweta Das, Xia Hu
Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering. CoRR (2023)
Hongyi Ling, Zhimeng Jiang, Meng Liu, Shuiwang Ji, Na Zou
Graph Mixup with Soft Alignments. ICML (2023)
Chia-Yuan Chang, Yu-Neng Chuang, Zhimeng Jiang, Kwei-Herng Lai, Anxiao Jiang, Na Zou
CODA: Temporal Domain Generalization via Concept Drift Simulator. CoRR (2023)
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)
Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Hu
DIVISION: Memory Efficient Training via Dual Activation Precision. ICML (2023)
Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Zhimeng Jiang, Shaochen Zhong, Xia Hu
Data-centric Artificial Intelligence: A Survey. CoRR (2023)
Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu
Chasing Fairness in Graphs: A GNN Architecture Perspective. CoRR (2023)
Zhimeng Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Na Zou, Xia Hu
Weight Perturbation Can Help Fairness under Distribution Shift. CoRR (2023)
Hongyi Ling, Zhimeng Jiang, Youzhi Luo, Shuiwang Ji, Na Zou
Learning Fair Graph Representations via Automated Data Augmentations. ICLR (2023)
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)
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)
Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang Tang, Zhimeng Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Hu
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model. CoRR (2023)
Junnan Dong, Qinggang Zhang, Xiao Huang, Keyu Duan, Qiaoyu Tan, Zhimeng Jiang
Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs. WWW (2023)
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 (2023)
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) (2023)
Hongyi Ling, Zhimeng Jiang, Meng Liu, Shuiwang Ji, Na Zou
Graph Mixup with Soft Alignments. CoRR (2023)
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 (2023)
Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu
Geometric Graph Representation Learning via Maximizing Rate Reduction. CoRR (2022)
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)
Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Xia Hu
G-Mixup: Graph Data Augmentation for Graph Classification. ICML (2022)
Zhimeng Jiang, Xiaotian Han, Chao Fan, Fan Yang, Ali Mostafavi, Xia Hu
Generalized Demographic Parity for Group Fairness. ICLR (2022)
Zhimeng Jiang, Kaixiong Zhou, Mi Zhang, Rui Chen, Xia Hu, Soo-Hyun Choi
Adaptive Risk-Aware Bidding with Budget Constraint in Display Advertising. CoRR (2022)
Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Xia Hu
G-Mixup: Graph Data Augmentation for Graph Classification. CoRR (2022)
Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu
FMP: Toward Fair Graph Message Passing against Topology Bias. CoRR (2022)
Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Hu
Towards Memory Efficient Training via Dual Activation Precision. CoRR (2022)
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 Hu
BED: A Real-Time Object Detection System for Edge Devices. CIKM (2022)
Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu
Geometric Graph Representation Learning via Maximizing Rate Reduction. WWW (2022)
Han Xu, Menghai Pan, Zhimeng Jiang, Huiyuan Chen, Xiaoting Li, Mahashweta Das, Hao Yang
Towards Generating Adversarial Examples on Mixed-type Data. CoRR (2022)
Guanchu Wang, Zaid Pervaiz Bhat, Zhimeng Jiang, Yi-Wei Chen, Daochen Zha, Alfredo Costilla Reyes, Afshin Niktash, Mehmet Görkem Ulkar, Osman Erman Okman, Xia Hu
BED: A Real-Time Object Detection System for Edge Devices. CoRR (2022)
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) (2021)
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) (2020)
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 (2019)
Guanchu Wang, Chen Gong, Zhimeng Jiang, Zhengyuan Xu
A Doub-station Access Protocol based on CSMA/CA for Optical Wireless Networks. CoRR (2019)
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) (2019)
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) (2019)
Zhimeng Jiang, Chen Gong, Guanchu Wang, Zhengyuan Xu
On the Achievable Rate of a Sample-based Practical Photon-counting Receiver. CoRR (2019)
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)
Zhimeng Jiang, Chen Gong, Zhengyuan Xu
A Statistical Non-Linear Model and Analysis for Photon-Level Photomultiplier Receiver. ICC (2019)
Guanchu Wang, Chen Gong, Zhimeng Jiang, Zhengyuan Xu
Characterization on Asynchronous Multiple Access in Non-Line of Sight Scattering Communication. ICC Workshops (2018)
Zhimeng Jiang, Chen Gong, Zhengyuan Xu
Clipping Noise and Power Allocation for OFDM-Based Optical Wireless Communication Using Photon Detection. CoRR (2018)
Zhimeng Jiang, Chen Gong, Zhengyuan Xu
Statistical Non-linear Model, Achievable Rates and Signal Detection for Photon-level Photomultiplier Receiver. CoRR (2018)