Characterization on Asynchronous Multiple Access in Non-Line of Sight Scattering Communication. - Guanchu Wang; Chen Gong 001; Zhimeng Jiang; Zhengyuan Xu (ICC Workshops, 2018)

Statistical Non-linear Model, Achievable Rates and Signal Detection for Photon-level Photomultiplier Receiver. - Zhimeng Jiang; Chen Gong 001; Zhengyuan Xu (CoRR, 2018)

Achievable Rate Bounds on Poisson Channel with a Sample-Based Practical Photon-Counting Receiver. - Zhimeng Jiang; Chen Gong 001; Guanchu Wang; Zhengyuan Xu (ICC Workshops, 2019)

A Statistical Non-Linear Model and Analysis for Photon-Level Photomultiplier Receiver. - Zhimeng Jiang; Chen Gong 001; Zhengyuan Xu (ICC, 2019)

On the Achievable Rate of a Sample-based Practical Photon-counting Receiver. - Zhimeng Jiang; Chen Gong 001; Guanchu Wang; Zhengyuan Xu (CoRR, 2019)

A Doub-station Access Protocol based on CSMA/CA for Optical Wireless Networks. - Guanchu Wang; Chen Gong 001; Zhimeng Jiang; Zhengyuan Xu (CoRR, 2019)

Achievable Rates and Signal Detection for Photon-Level Photomultiplier Receiver Based on Statistical Non-Linear Model. - Zhimeng Jiang; Chen Gong 001; Zhengyuan Xu (IEEE Trans. Wirel. Commun., 2019)

Clipping Noise and Power Allocation for OFDM-Based Optical Wireless Communication Using Photon Detection. - Zhimeng Jiang; Chen Gong 001; Zhengyuan Xu (IEEE Wirel. Commun. Lett., 2019)

On the sum-rate capacity of poisson multiple access channel with non-perfect photon-counting receiver. - Zhimeng Jiang; Chen Gong 001; Guanchu Wang; Zhengyuan Xu (J. Commun. Inf. Networks, 2020)

On the Achievable Rate and Capacity for a Sample-Based Practical Photon-Counting Receiver. - Zhimeng Jiang; Chen Gong 001; Guanchu Wang; Zhengyuan Xu (IEEE Trans. Commun., 2021)

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 (CIKM, 2022)

Generalized Demographic Parity for Group Fairness. - Zhimeng Jiang; Xiaotian Han; Chao Fan; Fan Yang 023; Ali Mostafavi; Xia Hu 001 (ICLR, 2022)

An Information Fusion Approach to Learning with Instance-Dependent Label Noise. - Zhimeng Jiang; Kaixiong Zhou; Zirui Liu 001; Li Li 035; Rui Chen 012; Soo-Hyun Choi; Xia Hu 001 (ICLR, 2022)

G-Mixup: Graph Data Augmentation for Graph Classification. - Xiaotian Han; Zhimeng Jiang; Ninghao Liu; Xia Hu 001 (ICML, 2022)

Geometric Graph Representation Learning via Maximizing Rate Reduction. - Xiaotian Han; Zhimeng Jiang; Ninghao Liu; Qingquan Song; Jundong Li; Xia Hu 001 (WWW, 2022)

FMP: Toward Fair Graph Message Passing against Topology Bias. - Zhimeng Jiang; Xiaotian Han; Chao Fan; Zirui Liu 001; Na Zou 001; Ali Mostafavi; Xia Hu 001 (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)

Towards Memory Efficient Training via Dual Activation Precision. - Guanchu Wang; Zirui Liu 001; Zhimeng Jiang; Ninghao Liu; Na Zou 001; Xia Ben Hu (CoRR, 2022)

Towards Generating Adversarial Examples on Mixed-type Data. - Han Xu; Menghai Pan; Zhimeng Jiang; Huiyuan Chen; Xiaoting Li 001; Mahashweta Das; Hao Yang 007 (CoRR, 2022)

Adaptive Risk-Aware Bidding with Budget Constraint in Display Advertising. - Zhimeng Jiang; Kaixiong Zhou; Mi Zhang; Rui Chen 012; Xia Hu 001; Soo-Hyun Choi (CoRR, 2022)

Learning Fair Graph Representations via Automated Data Augmentations. - Hongyi Ling; Zhimeng Jiang; Youzhi Luo; Shuiwang Ji; Na Zou 001 (ICLR, 2023)

Graph Mixup with Soft Alignments. - Hongyi Ling; Zhimeng Jiang; Meng Liu 015; Shuiwang Ji; Na Zou 001 (ICML, 2023)

DIVISION: Memory Efficient Training via Dual Activation Precision. - Guanchu Wang; Zirui Liu 001; Zhimeng Jiang; Ninghao Liu; Na Zou 001; Xia Ben Hu (ICML, 2023)

Probabilistic Masked Attention Networks for Explainable Sequential Recommendation. - Huiyuan Chen; Kaixiong Zhou; Zhimeng Jiang; Chin-Chia Michael Yeh; Xiaoting Li 001; Menghai Pan; Yan Zheng 001; Xia Hu 001; Hao Yang 007 (IJCAI, 2023)

Fair Graph Distillation. - Qizhang Feng; Zhimeng Stephen Jiang; Ruiquan Li; Yicheng Wang; Na Zou 001; Jiang Bian 001; Xia Hu 001 (NeurIPS, 2023)

Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach. - Zhimeng Stephen Jiang; Xiaotian Han; Hongye Jin; Guanchu Wang; Rui Chen 012; Na Zou 001; Xia Hu 001 (NeurIPS, 2023)

Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model. - Zirui Liu 001; Guanchu Wang; Shaochen Zhong; Zhaozhuo Xu; Daochen Zha; Ruixiang (Ryan) Tang; Zhimeng Stephen Jiang; Kaixiong Zhou; Vipin Chaudhary; Shuai Xu; Xia Hu 001 (NeurIPS, 2023)

Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs. - Junnan Dong; Qinggang Zhang; Xiao Huang 001; Keyu Duan; Qiaoyu Tan; Zhimeng Jiang (WWW, 2023)

Retiring $Δ$DP: New Distribution-Level Metrics for Demographic Parity. - Xiaotian Han; Zhimeng Jiang; Hongye Jin; Zirui Liu 001; Na Zou 001; Qifan Wang 001; Xia Hu 001 (CoRR, 2023)

Weight Perturbation Can Help Fairness under Distribution Shift. - Zhimeng Jiang; Xiaotian Han; Hongye Jin; Guanchu Wang; Na Zou 001; Xia Ben Hu (CoRR, 2023)

Editable Graph Neural Network for Node Classifications. - Zirui Liu 001; Zhimeng Jiang; Shaochen Zhong; Kaixiong Zhou; Li Li 035; Rui Chen 012; Soo-Hyun Choi; Xia Hu 001 (CoRR, 2023)

GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length. - Hongye Jin; Xiaotian Han; Jingfeng Yang 001; Zhimeng Jiang; Chia-Yuan Chang 002; Xia Hu 001 (CoRR, 2023)

CODA: Temporal Domain Generalization via Concept Drift Simulator. - Chia-Yuan Chang 002; Yu-Neng Chuang; Zhimeng Jiang; Kwei-Herng Lai; Anxiao Jiang; Na Zou 001 (CoRR, 2023)

Adaptive RiskAware Bidding with Budget Constraint in Display Advertising. - Zhimeng Jiang; Kaixiong Zhou; Mi Zhang; Rui Chen 012; Xia Hu 001; Soo-Hyun Choi (SIGKDD Explor., 2023)

Retiring ΔDP: New Distribution-Level Metrics for Demographic Parity. - Xiaotian Han; Zhimeng Jiang; Hongye Jin; Zirui Liu 001; Na Zou 001; Qifan Wang 001; Xia Hu 001 (Trans. Mach. Learn. Res., 2023)

DSpar: An Embarrassingly Simple Strategy for Efficient GNN training and inference via Degree-based Sparsification. - Zirui Liu 001; Kaixiong Zhou; Zhimeng Jiang; Li Li 035; Rui Chen 012; Soo-Hyun Choi; Xia Hu 001 (Trans. Mach. Learn. Res., 2023)

Chasing Fairness in Graphs: A GNN Architecture Perspective. - Zhimeng Jiang; Xiaotian Han; Chao Fan; Zirui Liu 001; Na Zou 001; Ali Mostafavi; Xia Hu 001 (AAAI, 2024)

LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning. - Hongye Jin; Xiaotian Han; Jingfeng Yang 001; Zhimeng Jiang; Zirui Liu 001; Chia-Yuan Chang 002; Huiyuan Chen; Xia Hu 001 (ICML, 2024)

GNNs Also Deserve Editing, and They Need It More Than Once. - Shaochen (Henry) Zhong; Duy Le 001; Zirui Liu 001; Zhimeng Jiang; Andrew Ye; Jiamu Zhang; Jiayi Yuan 001; Kaixiong Zhou; Zhaozhuo Xu; Jing Ma; Shuai Xu; Vipin Chaudhary; et al. (ICML, 2024)

Gradient Rewiring for Editable Graph Neural Network Training. - Zhimeng Jiang; Zirui Liu 001; Xiaotian Han; Qizhang Feng; Hongye Jin; Qiaoyu Tan; Kaixiong Zhou; Na Zou 001; Xia Ben Hu (NeurIPS, 2024)

Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering. - Huiyuan Chen; Vivian Lai; Hongye Jin; Zhimeng Jiang; Mahashweta Das; Xia Hu 001 (WSDM, 2024)

LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning. - Hongye Jin; Xiaotian Han; Jingfeng Yang 001; Zhimeng Jiang; Zirui Liu 001; Chia-Yuan Chang 002; Huiyuan Chen; Xia Hu 001 (CoRR, 2024)

LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem. - Hongyi Liu; Shaochen (Henry) Zhong; Xintong Sun; Minghao Tian; Mohsen Hariri; Zirui Liu 001; Ruixiang Tang; Zhimeng Jiang; Jiayi Yuan 001; Yu-Neng Chuang; Li Li 035; Soo-Hyun Choi; et al. (CoRR, 2024)

Better Late Than Never: Formulating and Benchmarking Recommendation Editing. - Chengyu Lai; Sheng Zhou 004; Zhimeng Jiang; Qiaoyu Tan; Yuanchen Bei; Jiawei Chen 007; Ningyu Zhang 001; Jiajun Bu (CoRR, 2024)

Understanding and Mitigating Memorization in Diffusion Models for Tabular Data. - Zhengyu Fang; Zhimeng Jiang; Huiyuan Chen; Xiao Li; Jing Li 002 (CoRR, 2024)

MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation. - Chia-Yuan Chang 002; Zhimeng Jiang; Vineeth Rakesh; Menghai Pan; Chin-Chia Michael Yeh; Guanchu Wang; Mingzhi Hu; Zhichao Xu; Yan Zheng 001; Mahashweta Das; Na Zou 001 (ACL (1), 2025)

You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time. - Xiaotian Han; Tianlong Chen 001; Kaixiong Zhou; Zhimeng Jiang; Zhangyang Wang; Xia Hu 001 (CPAL, 2025)

Counterfactual Fairness on Graphs: Augmentations, Hidden Confounders, and Identifiability. - Hongyi Ling; Zhimeng Jiang; Na Zou 001; Shuiwang Ji (Trans. Mach. Learn. Res., 2025)

A Compact Model for Large-Scale Time Series Forecasting. - Chin-Chia Michael Yeh; Xiran Fan; Zhimeng Jiang; Yujie Fan; Huiyuan Chen; Uday Singh Saini; Vivian Lai; Xin Dai; Junpeng Wang 001; Zhongfang Zhuang; Liang Wang 047; Yan Zheng 001 (CoRR, 2025)

Towards Efficient Large Scale Spatial-Temporal Time Series Forecasting via Improved Inverted Transformers. - Jiarui Sun; Chin-Chia Michael Yeh; Yujie Fan; Xin Dai; Xiran Fan; Zhimeng Jiang; Uday Singh Saini; Vivian Lai; Junpeng Wang 001; Huiyuan Chen; Zhongfang Zhuang; Yan Zheng 001; et al. (CoRR, 2025)

A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective. - Zhengyu Fang; Zhimeng Jiang; Huiyuan Chen; Xiaoge Zhang; Kaiyu Tang; Xiao Li; Jing Li 002 (CoRR, 2025)

Data-centric Artificial Intelligence: A Survey. - Daochen Zha; Zaid Pervaiz Bhat; Kwei-Herng Lai; Fan Yang 023; Zhimeng Jiang; Shaochen Zhong; Xia Ben Hu (ACM Comput. Surv., 2025)