Zhimeng Jiang

72 papers A* 15A 2B 2Journal 45Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Cleansing the Artificial Mind: A Self-Reflective Detoxification Framework for Large Language Models.
CoRR
Kaituo Zhang, Zhimeng Jiang, Na Zou
2026 J jnl
Enhancing Foundation Models in Transaction Understanding with LLM-based Sentence Embeddings.
CoRR
Xiran Fan, Zhimeng Jiang, Chin-Chia Michael Yeh, Yuzhong Chen, Yingtong Dou, Menghai Pan, Yan Zheng
2026 J jnl
The LLM Data Auditor: A Metric-oriented Survey on Quality and Trustworthiness in Evaluating Synthetic Data.
CoRR
Kaituo Zhang, Mingzhi Hu, Hoang Anh Duy Le, Fariha Kabir Torsha, Zhimeng Jiang, Minh Khai Bui, Chia-Yuan Chang, Yu-Neng Chuang, Zhen Xiong, Ying Lin, Guanchu Wang, Na Zou
2025 J jnl
A Closer Look on Memorization in Tabular Diffusion Model: A Data-Centric Perspective.
CoRR
Zhengyu Fang, Zhimeng Jiang, Huiyuan Chen, Xiaoge Zhang, Kaiyu Tang, Xiao Li, Jing Li
2025 J jnl
A Compact Model for Large-Scale Time Series Forecasting.
CoRR
Chin-Chia Michael Yeh, Xiran Fan, Zhimeng Jiang, Yujie Fan, Huiyuan Chen, Uday Singh Saini, Vivian Lai, Xin Dai, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Yan Zheng
2025 — conf
CODA: Temporal Domain Generalization via Concept Drift Simulator.
KDD (2)
Chia-Yuan Chang, Yu-Neng Chuang, Zhimeng Jiang, Kwei-Herng Lai, Anxiao Jiang, Na Zou
2025 J jnl
Counterfactual Fairness on Graphs: Augmentations, Hidden Confounders, and Identifiability.
Trans. Mach. Learn. Res.
Hongyi Ling, Zhimeng Jiang, Na Zou, Shuiwang Ji
2025 J jnl
Data-centric Artificial Intelligence: A Survey.
ACM Comput. Surv.
Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Zhimeng Jiang, Shaochen Zhong, Xia Ben Hu
2025 B conf
EiFormer: Improving Inverted Transformers for Efficient Time Series Forecasting in Large-Scale Spatial-Temporal Data.
IEEE Big Data
Jiarui Sun, Chin-Chia Michael Yeh, Yujie Fan, Xin Dai, Xiran Fan, Zhimeng Jiang, Uday Singh Saini, Vivian Lai, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Yan Zheng, Girish Chowdhary
2025 — conf
Enhancing Foundation Models in Transaction Understanding with LLM-based Sentence Embeddings.
EMNLP (Industry Track)
Xiran Fan, Zhimeng Jiang, Chin-Chia Michael Yeh, Yuzhong Chen, Yingtong Dou, Menghai Pan, Yan Zheng
2025 — conf
LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem.
EMNLP (Findings)
Hongyi Liu, Shaochen Zhong, Xintong Sun, Minghao Tian, Mohsen Hariri, Zirui Liu, Ruixiang Tang, Zhimeng Jiang, Jiayi Yuan, Yu-Neng Chuang, Li Li, Soo-Hyun Choi, Rui Chen, Vipin Chaudhary, Xia Hu
2025 — conf
MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation.
ACL (1)
Chia-Yuan Chang, Zhimeng Jiang, Vineeth Rakesh, Menghai Pan, Chin-Chia Michael Yeh, Guanchu Wang, Mingzhi Hu, Zhichao Xu, Yan Zheng, Mahashweta Das, Na Zou
2025 J jnl
MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation.
CoRR
Chia-Yuan Chang, Zhimeng Jiang, Vineeth Rakesh, Menghai Pan, Chin-Chia Michael Yeh, Guanchu Wang, Mingzhi Hu, Zhichao Xu, Yan Zheng, Mahashweta Das, Na Zou
2025 A* conf
On Explaining Equivariant Graph Networks via Improved Relevance Propagation.
ICML
Hongyi Ling, Haiyang Yu, Zhimeng Jiang, Na Zou, Shuiwang Ji
2025 J jnl
Towards Efficient Large Scale Spatial-Temporal Time Series Forecasting via Improved Inverted Transformers.
CoRR
Jiarui Sun, Chin-Chia Michael Yeh, Yujie Fan, Xin Dai, Xiran Fan, Zhimeng Jiang, Uday Singh Saini, Vivian Lai, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Yan Zheng, Girish Chowdhary
2025 J jnl
TransactionGPT.
CoRR
Yingtong Dou, Zhimeng Jiang, Tianyi Zhang, Mingzhi Hu, Zhichao Xu, Shubham Jain, Uday Singh Saini, Xiran Fan, Jiarui Sun, Menghai Pan, Junpeng Wang, Xin Dai, Liang Wang, Chin-Chia Michael Yeh, Yujie Fan, Vineeth Rakesh, Huiyuan Chen, Mangesh Bendre, Zhongfang Zhuang, Xiaoting Li, Prince Osei Aboagye, Vivian Lai, Minghua Xu, Hao Yang, Yiwei Cai, Mahashweta Das, Yuzhong Chen
2025 B conf
UltraSTF: Ultra-Compact Model for Large-Scale Spatio-Temporal Forecasting.
IEEE Big Data
Chin-Chia Michael Yeh, Xiran Fan, Zhimeng Jiang, Yujie Fan, Huiyuan Chen, Uday Singh Saini, Vivian Lai, Xin Dai, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Yan Zheng
2025 A* conf
Understanding and Mitigating Memorization in Diffusion Models for Tabular Data.
ICML
Zhengyu Fang, Zhimeng Jiang, Huiyuan Chen, Xiao Li, Jing Li
2025 — conf
You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time.
CPAL
Xiaotian Han, Tianlong Chen, Kaixiong Zhou, Zhimeng Jiang, Zhangyang Wang, Xia Hu
2025 J jnl
You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time.
CoRR
Xiaotian Han, Tianlong Chen, Kaixiong Zhou, Zhimeng Jiang, Zhangyang Wang, Xia Ben Hu
2024 J jnl
Better Late Than Never: Formulating and Benchmarking Recommendation Editing.
CoRR
Chengyu Lai, Sheng Zhou, Zhimeng Jiang, Qiaoyu Tan, Yuanchen Bei, Jiawei Chen, Ningyu Zhang, Jiajun Bu
2024 A* conf
Chasing Fairness in Graphs: A GNN Architecture Perspective.
AAAI
Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu
2024 A* conf
GNNs Also Deserve Editing, and They Need It More Than Once.
ICML
Shaochen (Henry) 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
2024 A* conf
Gradient Rewiring for Editable Graph Neural Network Training.
NeurIPS
Zhimeng Jiang, Zirui Liu, Xiaotian Han, Qizhang Feng, Hongye Jin, Qiaoyu Tan, Kaixiong Zhou, Na Zou, Xia Ben Hu
2024 J jnl
Gradient Rewiring for Editable Graph Neural Network Training.
CoRR
Zhimeng Jiang, Zirui Liu, Xiaotian Han, Qizhang Feng, Hongye Jin, Qiaoyu Tan, Kaixiong Zhou, Na Zou, Xia Ben Hu
2024 J jnl
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning.
CoRR
Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu
2024 A* conf
LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning.
ICML
Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu
2024 J jnl
LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem.
CoRR
Hongyi Liu, Shaochen (Henry) Zhong, Xintong Sun, Minghao Tian, Mohsen Hariri, Zirui Liu, Ruixiang Tang, Zhimeng Jiang, Jiayi Yuan, Yu-Neng Chuang, Li Li, Soo-Hyun Choi, Rui Chen, Vipin Chaudhary, Xia Hu
2024 A conf
Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering.
WSDM
Huiyuan Chen, Vivian Lai, Hongye Jin, Zhimeng Jiang, Mahashweta Das, Xia Hu
2024 J jnl
Understanding and Mitigating Memorization in Diffusion Models for Tabular Data.
CoRR
Zhengyu Fang, Zhimeng Jiang, Huiyuan Chen, Xiao Li, Jing Li
2023 J jnl
Adaptive RiskAware Bidding with Budget Constraint in Display Advertising.
SIGKDD Explor.
Zhimeng Jiang, Kaixiong Zhou, Mi Zhang, Rui Chen, Xia Hu, Soo-Hyun Choi
2023 J jnl
CODA: Temporal Domain Generalization via Concept Drift Simulator.
CoRR
Chia-Yuan Chang, Yu-Neng Chuang, Zhimeng Jiang, Kwei-Herng Lai, Anxiao Jiang, Na Zou
2023 J jnl
Chasing Fairness in Graphs: A GNN Architecture Perspective.
CoRR
Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu
2023 A* conf
DIVISION: Memory Efficient Training via Dual Activation Precision.
ICML
Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Ben Hu
2023 J jnl
DSpar: An Embarrassingly Simple Strategy for Efficient GNN training and inference via Degree-based Sparsification.
Trans. Mach. Learn. Res.
Zirui Liu, Kaixiong Zhou, Zhimeng Jiang, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2023 J jnl
Data-centric Artificial Intelligence: A Survey.
CoRR
Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Zhimeng Jiang, Shaochen Zhong, Xia Hu
2023 J jnl
Editable Graph Neural Network for Node Classifications.
CoRR
Zirui Liu, Zhimeng Jiang, Shaochen Zhong, Kaixiong Zhou, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2023 A* conf
Graph Mixup with Soft Alignments.
ICML
Hongyi Ling, Zhimeng Jiang, Meng Liu, Shuiwang Ji, Na Zou
2023 J jnl
Graph Mixup with Soft Alignments.
CoRR
Hongyi Ling, Zhimeng Jiang, Meng Liu, Shuiwang Ji, Na Zou
2023 J jnl
GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length.
CoRR
Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Chia-Yuan Chang, Xia Hu
2023 A* conf
Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs.
WWW
Junnan Dong, Qinggang Zhang, Xiao Huang, Keyu Duan, Qiaoyu Tan, Zhimeng Jiang
2023 A* conf
Learning Fair Graph Representations via Automated Data Augmentations.
ICLR
Hongyi Ling, Zhimeng Jiang, Youzhi Luo, Shuiwang Ji, Na Zou
2023 A* conf
Probabilistic Masked Attention Networks for Explainable Sequential Recommendation.
IJCAI
Huiyuan Chen, Kaixiong Zhou, Zhimeng Jiang, Chin-Chia Michael Yeh, Xiaoting Li, Menghai Pan, Yan Zheng, Xia Hu, Hao Yang
2023 J jnl
Retiring $Δ$DP: New Distribution-Level Metrics for Demographic Parity.
CoRR
Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu
2023 J jnl
Retiring ΔDP: New Distribution-Level Metrics for Demographic Parity.
Trans. Mach. Learn. Res.
Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu
2023 J jnl
Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering.
CoRR
Huiyuan Chen, Vivian Lai, Hongye Jin, Zhimeng Jiang, Mahashweta Das, Xia Hu
2023 J jnl
Weight Perturbation Can Help Fairness under Distribution Shift.
CoRR
Zhimeng Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Na Zou, Xia Ben Hu
2023 J jnl
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model.
CoRR
Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang Tang, Zhimeng Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Ben Hu
2022 J jnl
Adaptive Risk-Aware Bidding with Budget Constraint in Display Advertising.
CoRR
Zhimeng Jiang, Kaixiong Zhou, Mi Zhang, Rui Chen, Xia Hu, Soo-Hyun Choi
2022 A* conf
An Information Fusion Approach to Learning with Instance-Dependent Label Noise.
ICLR
Zhimeng Jiang, Kaixiong Zhou, Zirui Liu, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2022 A conf
BED: A Real-Time Object Detection System for Edge Devices.
CIKM
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
2022 J jnl
BED: A Real-Time Object Detection System for Edge Devices.
CoRR
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
2022 J jnl
FMP: Toward Fair Graph Message Passing against Topology Bias.
CoRR
Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu
2022 A* conf
G-Mixup: Graph Data Augmentation for Graph Classification.
ICML
Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Xia Hu
2022 J jnl
G-Mixup: Graph Data Augmentation for Graph Classification.
CoRR
Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Xia Hu
2022 A* conf
Generalized Demographic Parity for Group Fairness.
ICLR
Zhimeng Jiang, Xiaotian Han, Chao Fan, Fan Yang, Ali Mostafavi, Xia Hu
2022 A* conf
Geometric Graph Representation Learning via Maximizing Rate Reduction.
WWW
Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu
2022 J jnl
Geometric Graph Representation Learning via Maximizing Rate Reduction.
CoRR
Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu
2022 J jnl
Towards Generating Adversarial Examples on Mixed-type Data.
CoRR
Han Xu, Menghai Pan, Zhimeng Jiang, Huiyuan Chen, Xiaoting Li, Mahashweta Das, Hao Yang
2022 J jnl
Towards Memory Efficient Training via Dual Activation Precision.
CoRR
Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Ben Hu
2021 J jnl
On the Achievable Rate and Capacity for a Sample-Based Practical Photon-Counting Receiver.
IEEE Trans. Commun.
Zhimeng Jiang, Chen Gong, Guanchu Wang, Zhengyuan Xu
2020 J jnl
On the sum-rate capacity of poisson multiple access channel with non-perfect photon-counting receiver.
J. Commun. Inf. Networks
Zhimeng Jiang, Chen Gong, Guanchu Wang, Zhengyuan Xu
2019 J jnl
A Doub-station Access Protocol based on CSMA/CA for Optical Wireless Networks.
CoRR
Guanchu Wang, Chen Gong, Zhimeng Jiang, Zhengyuan Xu
2019 — conf
A Statistical Non-Linear Model and Analysis for Photon-Level Photomultiplier Receiver.
ICC
Zhimeng Jiang, Chen Gong, Zhengyuan Xu
2019 — conf
Achievable Rate Bounds on Poisson Channel with a Sample-Based Practical Photon-Counting Receiver.
ICC Workshops
Zhimeng Jiang, Chen Gong, Guanchu Wang, Zhengyuan Xu
2019 J jnl
Achievable Rates and Signal Detection for Photon-Level Photomultiplier Receiver Based on Statistical Non-Linear Model.
IEEE Trans. Wirel. Commun.
Zhimeng Jiang, Chen Gong, Zhengyuan Xu
2019 J jnl
Clipping Noise and Power Allocation for OFDM-Based Optical Wireless Communication Using Photon Detection.
IEEE Wirel. Commun. Lett.
Zhimeng Jiang, Chen Gong, Zhengyuan Xu
2019 J jnl
On the Achievable Rate of a Sample-based Practical Photon-counting Receiver.
CoRR
Zhimeng Jiang, Chen Gong, Guanchu Wang, Zhengyuan Xu
2019 J jnl
On the Sum-Rate Capacity of Poisson Multiple Access Channel with Non-Perfect Photon-Counting Receiver.
CoRR
Zhimeng Jiang, Chen Gong, Guanchu Wang, Zhengyuan Xu
2018 — conf
Characterization on Asynchronous Multiple Access in Non-Line of Sight Scattering Communication.
ICC Workshops
Guanchu Wang, Chen Gong, Zhimeng Jiang, Zhengyuan Xu
2018 J jnl
Clipping Noise and Power Allocation for OFDM-Based Optical Wireless Communication Using Photon Detection.
CoRR
Zhimeng Jiang, Chen Gong, Zhengyuan Xu
2018 J jnl
Statistical Non-linear Model, Achievable Rates and Signal Detection for Photon-level Photomultiplier Receiver.
CoRR
Zhimeng Jiang, Chen Gong, Zhengyuan Xu