| 2026 | ACL | From Style to Story: A Curriculum Learning Approach for Imitative Novel Generation. | Xueran Han, Yuhan Liu, Mingzhe Li, Wei Liu, Sen Hu, Rui Yan, Zhiqiang Xu, Xiuying Chen |
| 2026 | KDD | Improving Enzyme Prediction with Chemical Reaction Equations by Hypergraph-Enhanced Knowledge Graph Embeddings. | Tengwei Song, Long Yin, Zhen Han, Zhiqiang Xu |
| 2026 | WWW | FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Clients. | Dezhong Yao, Tongtong Liu, Yuexin Shi, Zhiqiang Xu |
| 2026 | WSDM | Sharpness-aware Federated Graph Learning. | Ruiyu Li, Peige Zhao, Guangxia Li, Pengcheng Wu, Xingyu Gao, Zhiqiang Xu |
| 2025 | AAAI | A Gaussian Filter-Based 3D Registration Method for Series Section Electron Microscopy. | Zhenbang Zhang, Hongjia Li, Zhiqiang Xu, Wenjia Meng, Renmin Han |
| 2025 | CIKM | OFedED: One-shot Federated Learning with Model Ensemble and Dataset Distillation. | Xuhui Li, Zhengquan Luo, Zihui Cui, Xin Cao, Zhiqiang Xu |
| 2025 | ICCV | Golden Noise for Diffusion Models: A Learning Framework. | Zikai Zhou, Shitong Shao, Lichen Bai, Shufei Zhang, Zhiqiang Xu, Bo Han, Zeke Xie |
| 2025 | ICLR | Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection. | Lichen Bai, Shitong Shao, Zikai Zhou, Zipeng Qi, Zhiqiang Xu, Haoyi Xiong, Zeke Xie |
| 2025 | ICLR | Measuring And Improving Engagement of Text-to-Image Generation Models. | Varun Khurana, Yaman Kumar Singla, Jayakumar Subramanian, Changyou Chen, Rajiv Ratn Shah, Zhiqiang Xu, Balaji Krishnamurthy |
| 2025 | ICML | Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples. | Chengqian Gao, Haonan Li, Liu Liu, Zeke Xie, Peilin Zhao, Zhiqiang Xu |
| 2025 | PAKDD | Stronger Separability, Stronger Defense: Influence-Based Backdoor Detection. | Buhua Liu, Shuo Yang, Zhiqiang Xu, Haoyi Xiong, Yiu-ming Cheung, Zeke Xie |
| 2024 | AAAI | Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring. | Peng Tang, Zhiqiang Xu, Chunlai Zhou, Pengfei Wei, Peng Han, Xin Cao, Tobias Lasser |
| 2024 | EMNLP | TextLap: Customizing Language Models for Text-to-Layout Planning. | Jian Chen, Ruiyi Zhang, Yufan Zhou, Jennifer Healey, Jiuxiang Gu, Zhiqiang Xu, Changyou Chen |
| 2024 | EMNLP | Visual Question Decomposition on Multimodal Large Language Models. | Haowei Zhang, Jianzhe Liu, Zhen Han, Shuo Chen, Bailan He, Volker Tresp, Zhiqiang Xu, Jindong Gu |
| 2024 | ICDE | Learning Time-Aware Graph Structures for Spatially Correlated Time Series Forecasting. | Minbo Ma, Jilin Hu, Christian S. Jensen, Fei Teng, Peng Han, Zhiqiang Xu, Tianrui Li |
| 2024 | ICLR | Learning No-Regret Sparse Generalized Linear Models with Varying Observation(s). | Diyang Li, Charles Ling, Zhiqiang Xu, Huan Xiong, Bin Gu |
| 2024 | ICLR | AUC-CL: A Batchsize-Robust Framework for Self-Supervised Contrastive Representation Learning. | Rohan Sharma, Kaiyi Ji, Zhiqiang Xu, Changyou Chen |
| 2024 | ICML | Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples. | Dake Bu, Wei Huang, Taiji Suzuki, Ji Cheng, Qingfu Zhang, Zhiqiang Xu, Hau-San Wong |
| 2024 | ICML | Learning Constraints from Offline Demonstrations via Superior Distribution Correction Estimation. | Guorui Quan, Zhiqiang Xu, Guiliang Liu |
| 2024 | ICPP | Rethinking Personalized Federated Learning from Knowledge Perspective. | Dezhong Yao, Ziquan Zhu, Tongtong Liu, Zhiqiang Xu, Hai Jin |
| 2024 | IJCAI | Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning. | Chengqian Gao, William de Vazelhes, Hualin Zhang, Bin Gu, Zhiqiang Xu |
| 2024 | IROS | Intelligent Fish Detection System with Similarity-Aware Transformer. | Shengchen Li, Haobo Zuo, Changhong Fu, Zhiyong Wang, Zhiqiang Xu |
| 2024 | ISCAS | An Efficiency-Enhanced Active Rectifier with Offset-Controlled Comparators for WPT Systems. | Yuxuan Jiang, Zhiqiang Xu, Esther Rodrguez-Villegas |
| 2023 | AISTATS | On the Accelerated Noise-Tolerant Power Method. | Zhiqiang Xu |
| 2023 | Interspeech | S2CD: Self-heuristic Speaker Content Disentanglement for Any-to-Any Voice Conversion. | Pengfei Wei, Xiang Yin, Chunfeng Wang, Zhonghao Li, Xinghua Qu, Zhiqiang Xu, Zejun Ma |
| 2023 | ISKE | Construction Progress Prediction of Substation Infrastructure Project Based on Random Forest. | Bin Han, Hui Xiao, Lei Yu, Zhiqiang Xu, Weiqing Chen, Xiaohu Sun |
| 2022 | AAAI | Local Differential Privacy for Belief Functions. | Qiyu Li, Chunlai Zhou, Biao Qin, Zhiqiang Xu |
| 2022 | ACML | Noisy Riemannian Gradient Descent for Eigenvalue Computation with Application to Inexact Stochastic Recursive Gradient Algorithm. | You-Lin Chen, Zhiqiang Xu, Ping Li |
| 2022 | ALT | Faster Noisy Power Method. | Zhiqiang Xu, Ping Li |
| 2022 | SP | DEPCOMM: Graph Summarization on System Audit Logs for Attack Investigation. | Zhiqiang Xu, Pengcheng Fang, Changlin Liu, Xusheng Xiao, Yu Wen, Dan Meng |
| 2021 | AISTATS | On the Faster Alternating Least-Squares for CCA. | Zhiqiang Xu, Ping Li |
| 2021 | HPCC | A Dynamic Routing Strategy for Hybrid Power Communication Networks. | Zengqing Qi, Jingpeng Xiao, Zhiqiang Xu |
| 2021 | SIGMOD | Agile and Accurate CTR Prediction Model Training for Massive-Scale Online Advertising Systems. | Zhiqiang Xu, Dong Li, Weijie Zhao, Xing Shen, Tianbo Huang, Xiaoyun Li, Ping Li |
| 2020 | CIKM | Succinct Adaptive Manifold Transfer. | Pengfei Wei, Yiping Ke, Zhiqiang Xu, Tze-Yun Leong |
| 2020 | ECAI | Basic Utility Theory for Belief Functions. | Chunlai Zhou, Biao Qin, Deying Li, Zhiqiang Xu, Xiaoyong Du |
| 2020 | ICDE | Efficient Attribute-Constrained Co-Located Community Search. | Jiehuan Luo, Xin Cao, Xike Xie, Qiang Qu, Zhiqiang Xu, Christian S. Jensen |
| 2020 | ICONIP | Data Reduction for Noisy Data Classification Using Semi-supervised Manifold-Preserving Graph Reduction. | Li Zhang, Qing-Qing Pang, Zhiqiang Xu, Xiaohan Zheng |
| 2020 | IGARSS | Street View Image Retrieval with Average Pooling Features. | Tianyou Chu, Yumin Chen, Liheng Huang, Huangyuan Tan, Jiping Cao, Zhiqiang Xu |
| 2020 | UAI | A Practical Riemannian Algorithm for Computing Dominant Generalized Eigenspace. | Zhiqiang Xu, Ping Li |
| 2019 | ICDE | Accelerate MaxBRkNN Search by kNN Estimation. | Xuefeng Chen, Xin Cao, Zhiqiang Xu, Ying Zhang, Shuo Shang, Wenjie Zhang |
| 2018 | AISTATS | On Truly Block Eigensolvers via Riemannian Optimization. | Zhiqiang Xu, Xin Gao |
| 2018 | IJCAI | Convergence Analysis of Gradient Descent for Eigenvector Computation. | Zhiqiang Xu, Xin Cao, Xin Gao |
| 2018 | KSEM | Supervised Manifold-Preserving Graph Reduction for Noisy Data Classification. | Zhiqiang Xu, Li Zhang |
| 2017 | ADMA | Entity Recognition by Distant Supervision with Soft List Constraint. | Hongkui Tu, Zongyang Ma, Aixin Sun, Zhiqiang Xu, Xiaodong Wang |
| 2017 | ICICS | Secure and Efficient Two-Factor Authentication Protocol Using RSA Signature for Multi-server Environments. | Zhiqiang Xu, Debiao He, Xinyi Huang |
| 2017 | UAI | A Fast Algorithm for Matrix Eigen-decompositionn. | Zhiqiang Xu, Yiping Ke, Xin Gao |
| 2016 | CIKM | Effective and Efficient Spectral Clustering on Text and Link Data. | Zhiqiang Xu, Yiping Ke |
| 2016 | ICML | Matrix Eigen-decomposition via Doubly Stochastic Riemannian Optimization. | Zhiqiang Xu, Peilin Zhao, Jianneng Cao, Xiaoli Li |
| 2014 | ICDM | A Fast Inference Algorithm for Stochastic Blockmodel. | Zhiqiang Xu, Yiping Ke, Yi Wang |
| 2013 | FIE | An innovative classroom that produces innovative students. | Weixun Cao, Hong Gao, Shengri Chen, Danhui Ying, Yingping Chen, Zhiqiang Xu |
| 2012 | SIGMOD | A model-based approach to attributed graph clustering. | Zhiqiang Xu, Yiping Ke, Yi Wang, Hong Cheng, James Cheng |
| 2008 | ICNC | Optimizing Casting Parameters of Ingot Based on Neural Network and Genetic Algorithm. | Pei Zhang, Zhiqiang Xu, Fengshan Du |