Publications(* indicates equal contribution)
Conference/Journal Papers
Chasing Fairness in Graphs: A GNN Architecture Perspective
Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu.
AAAI Association for the Advancement of Artificial Intelligence(AAAI), 2024. Special Track on Safe, Robust and Responsible AI (SRRAI).
Learning Alignment and Compactness in Collaborative Filtering
Huiyuan Chen, Vivian Lai, Hongye Jin, Zhimeng Jiang, Mahashweta Das, Xia Hu.
ACM International Conference Web Search and Data Mining(WSDM), 2024
Chasing Fairness under Distribution Shift: a Model Weight Perturbation Approach
Zhimeng Jiang*, Xiaotian Han*, Hongye Jin, Guanchu Wang, Rui Chen, Na Zou, Xia Hu.
Neural Information Processing Systems(NeurIPS), 2023
Fair Graph Distillation
Qizhang Feng, Zhimeng Jiang, Ruiquan Li, Yicheng Wang, Na Zou, Jiang Bian, Xia Hu.
Neural Information Processing Systems(NeurIPS), 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 Hu.
Neural Information Processing Systems(NeurIPS), 2023
DSpar: 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.
Transactions on Machine Learning Research (TMLR), 2023
Retiring ∆DP: New Distribution-Level Metrics for Demographic Parity.
Zhimeng Jiang*, Xiaotian Han*, Hongye Jin*, Zirui Liu, Na Zou, Qifan Wang, Xia Hu
Transactions on Machine Learning Research (TMLR), 2023
DIVISION: Memory Efficient Training via Dual Activation Precision.
Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Hu
International Conference on Machine Learning (ICML), 2023.
Graph Mixup with Soft Alignments.
Hongyi Ling, Zhimeng Jiang, Meng Liu, Shuiwang Ji, Na Zou.
International Conference on Machine Learning (ICML), 2023.
Probabilistic Masked Attention Networks for Next-item Recommendation.
Huiyuan Chen, Kaixiong Zhou, Zhimeng Jiang, Michael Yeh, Xiaoting Li, Menghai Pan, Yan Zheng, Xia Hu, Hao Yang.
International Joint Conference on Artificial Intelligence (IJCAI), 2023.
Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs.
Junnan Dong, Qinggang Zhang, Xiao Huang, Keyu Duan, Qiaoyu Tan, Zhimeng Jiang.
The Web Conference (formerly WWW), 2023.
Learning Fair Graph Representations via Automated Data Augmentations.
Hongyi Ling, Zhimeng Jiang, Youzhi Luo, Shuiwang Ji, Na Zou
International Conference on Learning Representations (ICLR Spotlight), 2023.
Adaptive Risk-Aware Bidding with Budget Constraint in Display Advertising
Zhimeng Jiang, Kaixiong Zhou, Mi Zhang, Rui Chen, Xia Hu, and Soo-Hyun Choi.
The ACM SIGKDD Explorations Newsletter, 2023. (also presented in AAAI Conference on Artificial Intelligence (AAAI) @ AI for Web Advertising Workshop, 2023.)
G-Mixup: Graph Augmentation for Graph Classification
Xiaotian Han, Zhimeng Jiang, Ninghao Liu, and Xia Hu.
International Conference on Machine Learning (ICML), 2022.
Outstanding Paper Award
An Information Fusion Approach to Learning with Instance-Dependent Label Noise
Zhimeng Jiang, Kaixiong Zhou, Zirui Liu, Li Li, Rui Chen, Soo-Hyun Choi, and Xia Hu.
International Conference on Learning Representations (ICLR), 2022
Generalized Demographic Parity for Group Fairness
Zhimeng Jiang, Xiaotian Han, Chao Fan, Fan Yang, Ali Mostafavi, and Xia Hu.
International Conference on Learning Representations (ICLR), 2022
Geometric Graph Representation Learning via Maximizing Rate Reduction
Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, and Xia Hu.
The Web Conference (formerly WWW), 2022.
BED: A Real-Time Object Detection System for Edge Devices.
Zhimeng Jiang*, Guanchu Wang*, Zaid Pervaiz Bhat*, Yi-Wei Chen*, Daochen Zha*, Alfredo Costilla Reyes*, Afshin Niktash, Gorkem Ulkar, Erman Okman, Xia Hu.
ACM International Conference on Information and Knowledge Management (CIKM), 2022 (demo).
Best Demo Paper Award
Paper related to Optical Wireless Communication
On the Achievable Rate and Capacity of a Sample-Based Practical Photon-Counting Receiver
Zhimeng Jiang, Chen Gong, Guanchu Wang, and Zhengyuan Xu.
IEEE Transactions on Communications, vol. 69, no. 9, pp. 6152-6169, Sept. 2021.
Achievable Rates and Signal Detection for Photon-Level Photomultiplier Receiver Based on Statistical Non-Linear Model
Zhimeng Jiang, Chen Gong, and Zhengyuan Xu.
IEEE Transactions on Wireless Communications, vol. 18, no. 12, pp. 6015-6029, Dec. 2019.
On the sum-rate capacity of Poisson multiple access channel with a sample-based practical photon-counting receiver
Zhimeng Jiang, Chen Gong, Guanchu Wang, and Zhengyuan Xu.
Journal of Communications and Information Networks, vol. 5, no. 3, pp. 335-349, Sept. 2020.
Clipping Noise and Power Allocation for OFDM-Based Optical Wireless Communication Using Photon Detection
Zhimeng Jiang, Chen Gong, and Zhengyuan Xu.
IEEE Wireless Communications Letters, vol. 8, no. 1, pp. 237-240, Feb. 2019.
Statistical Non-linear Model and Achievable Rates for Photon-level Photomultiplier Receiver
Zhimeng Jiang, Chen Gong, and Zhengyuan Xu.
IEEE International Conference in Communications(ICC), Shanghai, China, May 20-24, 2019.
Achievable Rate Bounds on Poisson channel with a Sample-Based Practical Photon-Counting Receiver
Zhimeng Jiang, Chen Gong, and Zhengyuan Xu.
IEEE International Conference in Communications Workshops (ICC Workshops), Shanghai, China, May 20-24, 2019.
Multi-Layer Superimposed Transmission for Optical Wireless Scattering Communication
Guanchu Wang, Chen Gong, Zhimeng Jiang, and Zhengyuan Xu.
IEEE Photonics Journal, vol. 11, no. 5, pp. 1-14, Oct. 2019.
A 1Mbps Real-Time NLOS UV Scattering Communication System With Receiver Diversity Over 1km
Guanchu Wang, Kun Wang, Chen Gong, Difan Zou, Zhimeng Jiang, and Zhengyuan Xu.
IEEE Photonics Journal, vol. 10, no. 2, pp. 1-13, Apr. 2018.
Characterization on Asynchronous Multiple Access in Non-Line of Sight Scattering Communication
Guanchu Wang, Chen Gong, Zhimeng Jiang, and Zhengyuan Xu.
IEEE International Conference on Communications Workshops (ICC Workshops), Kansas City, MO, USA, May 20-24, 2018.
Tutorials
Algorithmic Fairness in Finance: Problems, Methods and Benchmarks
Zhimeng Jiang, Xiaotian Han, Chia-Yuan Chang, Na Zou, and Xia Hu.
Machine Learning in Finance Workshop in ACM SIGKDD Conference on Knowledge Discovery and Data Mining(KDD2023@MLF).
Patents
System and Methods for Bid Optimization in Real-Time Bidding
Zhimeng Jiang, Kaixiong Zhou, Mi Zhang, Rui Chen, Xia Hu, and Soo-Hyun Choi.
US Patent App. 17/676,687
Machine learning with instance-dependent label noise
Zhimeng Jiang, Kaixiong Zhou, Zirui Liu, Li Li, Rui Chen, Soo-Hyun Choi, and Xia Hu.
US Patent App. 17/972,302