| 2026 | WWW | How Human Experts Educate Specialized LLMs: Filling Knowledge Gaps in KG-Augmented Generation through Hallucination Detection. | Chaofan Li, Lixing Chen, Junhua Tang, Yang Bai, Yutong Zhang, Zhi Zheng, Pan Zhou, Zhe Qu |
| 2026 | WWW | Augmenting Cross-View Geo-Localization with Spatial Semantics from Vision Foundation Models. | Ji Shen, Lixing Chen, Yang Bai, Zhongqi Miao, Zhe Qu, Pan Zhou, Jianhua Li |
| 2026 | SIGCOMM | Connecting 100K+ GPUs: Building the Communication Stack for Large-Scale LLM Training. | Hongyi Zeng, Min Si, Pavan Balaji, Yongzhou Chen, Ching-Hsiang Chu, Adithya Gangidi, Prashanth Kannan, Bingzhe Liu, Saif Hasan, Dong He, Deep Shah, Ashmitha Jeevaraj Shetty, Gregory R. Steinbrecher, Srikanth Sundaresan, Yulun Wang, Yexin Wu, Mingran Yang, Kenny Yu, Minlan Yu, Cen Zhao, Shengbao Zheng, Wesley Bland, Denis Boyda, Suman Gumudavelli, Subodh Iyengar, Daniel Johnson, Cristian Lumezanu, Kai Luo, Rui Miao, Zhe Qu, Venkatraghavan Ramesh, Jingliang Ren, Maxim Samoylov, Jan Seidel, Qiye Tan, Feng Tian, Xinfeng Xie, Jingyi Yang, Yimeng Zhao, Shuqiang Zhang, Tiane Art Zhu |
| 2025 | AAAI | How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? | Wenjun Ding, Ying An, Lixing Chen, Shichao Kan, Fan Wu, Zhe Qu |
| 2025 | ICASSP | ARIG-GCN: Anatomical Relationship and Isomorphic Graph Approximation Guided Graph Convolutional Network for Automated ASPECTS Scoring on Non-Contrast CT. | Ning Li, Zhe Qu, Jie Wang, Hulin Kuang |
| 2025 | ICASSP | A Clinical Knowledge-Driven Fine-Tuning Strategy for Applying Foundation Model to Fully Automatic Acute Ischemic Stroke Lesion Segmentation on Non-Contrast CT Scans. | Xianzhen Tan, Zhe Qu, Jie Wang, Hulin Kuang |
| 2025 | ICML | Stable Fair Graph Representation Learning with Lipschitz Constraint. | Qiang Chen, Zhongze Wu, Xiu Su, Xi Lin, Zhe Qu, Shan You, Shuo Yang, Chang Xu |
| 2025 | ICML | TinyMIG: Transferring Generalization from Vision Foundation Models to Single-Domain Medical Imaging. | Chuang Liu, Hongyan Xu, Yichao Cao, Xiu Su, Zhe Qu, Tianfa Li, Shan An, Haogang Zhu |
| 2025 | IJCAI | Stability and Generalization for Stochastic (Compositional) Optimizations. | Xiaokang Pan, Jin Liu, Hulin Kuang, Youqi Li, Lixing Chen, Zhe Qu |
| 2025 | KDD | Way to Specialist: Closing Loop Between Specialized LLM and Evolving Domain Knowledge Graph. | Yutong Zhang, Lixing Chen, Shenghong Li, Nan Cao, Yang Shi, Jiaxin Ding, Zhe Qu, Pan Zhou, Yang Bai |
| 2025 | TrustCom | Towards a Deep Understanding and Practical Guideline on the SameSite Policy. | Shuang Wu, Ying Yu, Yan Liu, Xiangyu Gao, Zhe Qu |
| 2024 | AAAI | Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization. | Jin Liu, Xiaokang Pan, Junwen Duan, Hongdong Li, Youqi Li, Zhe Qu |
| 2024 | AAAI | What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception. | Wanfang Su, Lixing Chen, Yang Bai, Xi Lin, Gaolei Li, Zhe Qu, Pan Zhou |
| 2024 | EMNLP | MARE: Multi-Aspect Rationale Extractor on Unsupervised Rationale Extraction. | Han Jiang, Junwen Duan, Zhe Qu, Jianxin Wang |
| 2024 | ICML | Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to K-Level Stochastic Optimizations. | Xiaokang Pan, Xingyu Li, Jin Liu, Tao Sun, Kai Sun, Lixing Chen, Zhe Qu |
| 2024 | NDSS | Parrot-Trained Adversarial Examples: Pushing the Practicality of Black-Box Audio Attacks against Speaker Recognition Models. | Rui Duan, Zhe Qu, Leah Ding, Yao Liu, Zhuo Lu |
| 2024 | WWW | Divide, Conquer, and Coalesce: Meta Parallel Graph Neural Network for IoT Intrusion Detection at Scale. | Hua Ding, Lixing Chen, Shenghong Li, Yang Bai, Pan Zhou, Zhe Qu |
| 2024 | SP | Guessing on Dominant Paths: Understanding the Limitation of Wireless Authentication Using Channel State Information. | Zhe Qu, Rui Duan, Xiao Han, Shangqing Zhao, Yao Liu, Zhuo Lu |
| 2023 | CVPR | How to Prevent the Poor Performance Clients for Personalized Federated Learning? | Zhe Qu, Xingyu Li, Xiao Han, Rui Duan, Chengchao Shen, Lixing Chen |
| 2023 | DASFAA | DP-MHAN: A Disease Prediction Method Based on Metapath Aggregated Heterogeneous Graph Attention Networks. | Zhe Qu, Lizhen Cui, Yonghui Xu |
| 2023 | ICCCN | Data-Driven Next-Generation Wireless Networking: Embracing AI for Performance and Security. | Jiahao Xue, Zhe Qu, Shangqing Zhao, Yao Liu, Zhuo Lu |
| 2022 | CCS | Perception-Aware Attack: Creating Adversarial Music via Reverse-Engineering Human Perception. | Rui Duan, Zhe Qu, Shangqing Zhao, Leah Ding, Yao Liu, Zhuo Lu |
| 2022 | ICML | Generalized Federated Learning via Sharpness Aware Minimization. | Zhe Qu, Xingyu Li, Rui Duan, Yao Liu, Bo Tang, Zhuo Lu |
| 2022 | ICMLA | Stragglers Are Not Disasters: A Hybrid Federated Learning Framework with Delayed Gradients. | Xingyu Li, Zhe Qu, Bo Tang, Zhuo Lu |
| 2020 | INFOCOM | ProTO: Proactive Topology Obfuscation Against Adversarial Network Topology Inference. | Tao Hou, Zhe Qu, Tao Wang, Zhuo Lu, Yao Liu |
| 2020 | NSDI | Comb Decoding towards Collision-Free WiFi. | Shangqing Zhao, Zhe Qu, Zhengping Luo, Zhuo Lu, Yao Liu |
| 2017 | ICIS | Is Fake News Profitable? The Effect of Distorting Pre-IPO Financing on IPO Performance of Internet Firms. | Yahui Sun, Jin Zhou, Zhe Qu, Cheng Zhang |
| 2016 | FUSION | A novel night vision image color fusion method based on scene recognition. | Zhe Qu, Gang Xiao, Ningwen Xu, Zhuoran Diao, Jia-Zhou He |
| 2008 | ICIS | Software Design Strategies in Markets with Open Source Competitors. | Zhe Qu |