| 2026 | AAAI | Rademacher Complexity for Distributionally Robust Learning. | Zhengyu Zhou, Weiwei Liu |
| 2026 | AAAI | On the Robustness of Bandit Multiple Testing. | Zhengyu Zhou, Weiwei Liu |
| 2025 | ICML | Towards Understanding Catastrophic Forgetting in Two-layer Convolutional Neural Networks. | Boqi Li, Youjun Wang, Weiwei Liu |
| 2025 | ICML | Nonconvex Theory of M-estimators with Decomposable Regularizers. | Weiwei Liu |
| 2025 | ICML | Model Uncertainty Quantification by Conformal Prediction in Continual Learning. | Rui Gao, Weiwei Liu |
| 2025 | ICML | An Online Statistical Framework for Out-of-Distribution Detection. | Xinsong Ma, Xin Zou, Weiwei Liu |
| 2025 | ICML | A Closer Look at Generalized BH Algorithm for Out-of-Distribution Detection. | Xinsong Ma, Jie Wu, Weiwei Liu |
| 2025 | ICML | An Error Analysis of Flow Matching for Deep Generative Modeling. | Zhengyu Zhou, Weiwei Liu |
| 2025 | ISCAS | Fine-grained Relationship Alignment Network for Video-Text Retrieval. | Min Zheng, Yue Wang, Chunpeng Wu, Zhaogang Han, Weiwei Liu, Ke Chang |
| 2025 | PAKDD | Exploring Fine-Grained Relation Alignment for Multimedia Information Retrieval. | Min Zheng, Weiwei Liu, Yue Wang, Chunpeng Wu |
| 2025 | SecureComm | Unbalanced Secret Labeled Private Set Intersection via Scalable Dual-Load Bloom Filter. | Kaijie Yang, Hua Guo, Yewei Guan, Weiwei Liu |
| 2024 | AAAI | A Closer Look at Curriculum Adversarial Training: From an Online Perspective. | Lianghe Shi, Weiwei Liu |
| 2024 | AAAI | DRF: Improving Certified Robustness via Distributional Robustness Framework. | Zekai Wang, Zhengyu Zhou, Weiwei Liu |
| 2024 | AAAI | Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data. | Xin Zou, Weiwei Liu |
| 2024 | CVPR | LASIL: Learner-Aware Supervised Imitation Learning For Long-Term Microscopic Traffic Simulation. | Ke Guo, Zhenwei Miao, Wei Jing, Weiwei Liu, Weizi Li, Dayang Hao, Jia Pan |
| 2024 | ICASSP | Fast Cross-Modality Knowledge Transfer via a Contextual Autoencoder Transformation. | Min Zheng, Chunpeng Wu, Yue Wang, Yantao Jia, Weiwei Liu, Long Lin, Shuai Chen, Fei Zhou |
| 2024 | ICML | A Theoretical Analysis of Backdoor Poisoning Attacks in Convolutional Neural Networks. | Boqi Li, Weiwei Liu |
| 2024 | ICML | A Provable Decision Rule for Out-of-Distribution Detection. | Xinsong Ma, Xin Zou, Weiwei Liu |
| 2024 | ICML | Sequential Kernel Goodness-of-fit Testing. | Zhengyu Zhou, Weiwei Liu |
| 2024 | IJCAI | Zero-shot Learning for Preclinical Drug Screening. | Kun Li, Weiwei Liu, Yong Luo, Xiantao Cai, Jia Wu, Wenbin Hu |
| 2024 | PRICAI | RSANet: Relationship-Aware Symmetric Alignment Network for Fine-Grained Video-Text Retrieval. | Min Zheng, Chunpeng Wu, Ke Chang, Weiwei Liu, Dongsheng Wang, Yue Wang, Qinghe Ye, Zhi Yu |
| 2023 | AAAI | WAT: Improve the Worst-Class Robustness in Adversarial Training. | Boqi Li, Weiwei Liu |
| 2023 | COLT | Improved Bounds for Multi-task Learning with Trace Norm Regularization. | Weiwei Liu |
| 2023 | CoRL | TraCo: Learning Virtual Traffic Coordinator for Cooperation with Multi-Agent Reinforcement Learning. | Weiwei Liu, Wei Jing, Lingping Gao, Ke Guo, Gang Xu, Yong Liu |
| 2023 | ICANN | Global-to-Contextual Shared Semantic Learning for Fine-Grained Vision-Language Alignment. | Min Zheng, Chunpeng Wu, Jiaqi Qin, Weiwei Liu, Ming Chen, Long Lin, Fei Zhou |
| 2023 | ICML | DDGR: Continual Learning with Deep Diffusion-based Generative Replay. | Rui Gao, Weiwei Liu |
| 2023 | ICML | Better Diffusion Models Further Improve Adversarial Training. | Zekai Wang, Tianyu Pang, Chao Du, Min Lin, Weiwei Liu, Shuicheng Yan |
| 2023 | ICML | Delving into Noisy Label Detection with Clean Data. | Chenglin Yu, Xinsong Ma, Weiwei Liu |
| 2023 | IJCAI | Deep Partial Multi-Label Learning with Graph Disambiguation. | Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen |
| 2022 | ACL | MetaWeighting: Learning to Weight Tasks in Multi-Task Learning. | Yuren Mao, Zekai Wang, Weiwei Liu, Xuemin Lin, Pengtao Xie |
| 2022 | DASFAA | Research on Feature Extraction Method of Data Quality Intelligent Detection. | Weiwei Liu, Shuya Lei, Xiaokun Zheng, Xiao Liang |
| 2022 | ICML | Robustness Verification for Contrastive Learning. | Zekai Wang, Weiwei Liu |
| 2021 | ACL | BanditMTL: Bandit-based Multi-task Learning for Text Classification. | Yuren Mao, Zekai Wang, Weiwei Liu, Xuemin Lin, Wenbin Hu |
| 2020 | AAAI | Temporal Network Embedding with High-Order Nonlinear Information. | Zhenyu Qiu, Wenbin Hu, Jia Wu, Weiwei Liu, Bo Du, Xiaohua Jia |
| 2020 | AAAI | Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification. | Haobo Wang, Chen Chen, Weiwei Liu, Ke Chen, Tianlei Hu, Gang Chen |
| 2020 | ACL | Tchebycheff Procedure for Multi-task Text Classification. | Yuren Mao, Shuang Yun, Weiwei Liu, Bo Du |
| 2020 | ICASSP | Global and Local Discriminative Patches Exploiting for Action Recognition. | Jintao Wu, Wu Luo, Weiwei Liu, Chongyang Zhang |
| 2020 | ICML | Adaptive Adversarial Multi-task Representation Learning. | Yuren Mao, Weiwei Liu, Xuemin Lin |
| 2020 | IJCAI | Multichannel Color Image Denoising via Weighted Schatten p-norm Minimization. | Xinjian Huang, Bo Du, Weiwei Liu |
| 2020 | IJCAI | Learning From Multi-Dimensional Partial Labels. | Haobo Wang, Weiwei Liu, Yang Zhao, Tianlei Hu, Ke Chen, Gang Chen |
| 2020 | IJCAI | Collaboration Based Multi-Label Propagation for Fraud Detection. | Haobo Wang, Zhao Li, Jiaming Huang, Pengrui Hui, Weiwei Liu, Tianlei Hu, Gang Chen |
| 2020 | IJCAI | Opinion Maximization in Social Trust Networks. | Pinghua Xu, Wenbin Hu, Jia Wu, Weiwei Liu |
| 2019 | AAAI | Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification. | Chen Chen, Haobo Wang, Weiwei Liu, Xingyuan Zhao, Tianlei Hu, Gang Chen |
| 2019 | ICDM | Social Trust Network Embedding. | Pinghua Xu, Wenbin Hu, Jia Wu, Weiwei Liu, Bo Du, Jian Yang |
| 2019 | ICML | Sparse Extreme Multi-label Learning with Oracle Property. | Weiwei Liu, Xiaobo Shen |
| 2019 | IJCAI | Discriminative and Correlative Partial Multi-Label Learning. | Haobo Wang, Weiwei Liu, Yang Zhao, Chen Zhang, Tianlei Hu, Gang Chen |
| 2019 | IGARSS | Validation of MODIS and GEOV2 Leaf Area Index (LAI) Products over Croplands in Northeastern China. | Hongliang Fang, Yinghui Zhang, Shanshan Wei, Wenjuan Li, Yongchang Ye, Tao Sun, Weiwei Liu |
| 2018 | AAAI | Compact Multi-Label Learning. | Xiaobo Shen, Weiwei Liu, Ivor W. Tsang, Quan-Sen Sun, Yew-Soon Ong |
| 2018 | AAAI | Doubly Approximate Nearest Neighbor Classification. | Weiwei Liu, Zhuanghua Liu, Ivor W. Tsang, Wenjie Zhang, Xuemin Lin |
| 2018 | ICIP | SHPD: Surveillance Human Pose Dataset and Performance Evaluation for Coarse-Grained Pose Estimation. | Qiuhui Chen, Chongyang Zhang, Weiwei Liu, Dan Wang |
| 2018 | ICIP | Global for Coarse and Part for Fine: A Hierarchical Action Recognition Framework. | Weiwei Liu, Chongyang Zhang, Jiaying Zhang, Zhonghao Wu |
| 2018 | IJCAI | Deep Discrete Prototype Multilabel Learning. | Xiaobo Shen, Weiwei Liu, Yong Luo, Yew-Soon Ong, Ivor W. Tsang |
| 2018 | IJCAI | Discrete Network Embedding. | Xiaobo Shen, Shirui Pan, Weiwei Liu, Yew-Soon Ong, Quan-Sen Sun |
| 2018 | IJCAI | Ranking Preserving Nonnegative Matrix Factorization. | Jing Wang, Feng Tian, Weiwei Liu, Xiao Wang, Wenjie Zhang, Kenji Yamanishi |
| 2018 | IGARSS | Drone Measurements of Solar-Induced Chlorophyll Fluorescence Acquired with a Low-Weight DFOV Spectrometer System. | Jon Atherton, Alasdair MacArthur, Teemu Hakala, Kadmiel Maseyk, Iain Robinson, Weiwei Liu, Eija Honkavaara, Albert Porcar-Castell |
| 2018 | ISPEC | Efficient Traceable Oblivious Transfer and Its Applications. | Weiwei Liu, Yinghui Zhang, Yi Mu, Guomin Yang, Yangguang Tian |
| 2017 | AAAI | Compressed K-Means for Large-Scale Clustering. | Xiao-Bo Shen, Weiwei Liu, Ivor W. Tsang, Fumin Shen, Quan-Sen Sun |
| 2017 | CIKM | Compact Multiple-Instance Learning. | Jing Chai, Weiwei Liu, Ivor W. Tsang, Xiao-Bo Shen |
| 2017 | ICONIP | An Ultrasonic Image Recognition Method for Papillary Thyroid Carcinoma Based on Depth Convolution Neural Network. | Wei Ke, Yonghua Wang, Pin Wan, Weiwei Liu, Hailiang Li |
| 2017 | ICTAI | A Numerical Differentiation Based Dendritic Cell Model. | Wen Zhou, Yiwen Liang, Hongbin Dong, Chengyu Tan, Zhenhua Xiao, Weiwei Liu |
| 2016 | AAAI | Sparse Perceptron Decision Tree for Millions of Dimensions. | Weiwei Liu, Ivor W. Tsang |
| 2016 | ACCV | Visually Similar K-poselets Based Human Pose Recognition. | Shoucheng Ni, Weiwei Liu, Hao Cheng, Chongyang Zhang |
| 2016 | APCC | Coordinative simulation with SUMO and NS3 for Vehicular Ad Hoc Networks. | Weiwei Liu, Xichen Wang, Wenli Zhang, Lin Yang, Chao Peng |
| 2016 | APCC | A new content-centric routing protocol for Vehicular Ad Hoc Networks. | Xichen Wang, Weiwei Liu, Lin Yang, Wenli Zhang, Chao Peng |
| 2016 | IGARSS | Seasonality and background effects on paddy rice anisotropic properties from field measurements. | Tao Sun, Hongliang Fang, Weiwei Liu, Yongchang Ye |
| 2016 | Interspeech | THU-EE System Description for NIST LRE 2015. | Liang He, Yao Tian, Yi Liu, Jiaming Xu, Weiwei Liu, Cai Meng, Jia Liu |
| 2015 | AAAI | Effectively Predicting Whether and When a Topic Will Become Prevalent in a Social Network. | Weiwei Liu, Zhi-Hong Deng, Xiuwen Gong, Frank Jiang, Ivor W. Tsang |
| 2015 | AAAI | Large Margin Metric Learning for Multi-Label Prediction. | Weiwei Liu, Ivor W. Tsang |
| 2015 | ICIG | Multi-modal Brain Image Registration Based on Subset Definition and Manifold-to-Manifold Distance. | Weiwei Liu, Yuru Pei, Hongbin Zha |
| 2014 | NSS | Attribute-Based Signing Right Delegation. | Weiwei Liu, Yi Mu, Guomin Yang |
| 2014 | RTCSA | CCM: Low cost dynamic data exchange to emulate RAM on NAND flash. | Junhua Zhao, Hejun Wu, Yongjian Zhao, Weiwei Liu |
| 2014 | SERVICES | Towards a Service Pattern Model Supporting Quantitative Economic Analysis. | Jianwei Yin, Zhiling Luo, Ying Li, Binbin Fan, Weiwei Liu, Zhaohui Wu |
| 2013 | Interspeech | Parallel absolute-relative feature based phonotactic language recognition. | Weiwei Liu, Wei-Qiang Zhang, Zhiyi Li, Jia Liu |
| 2013 | Interspeech | THU-EE system fusion for the NIST 2012 speaker recognition evaluation. | Wei-Qiang Zhang, Zhiyi Li, Weiwei Liu, Jia Liu |
| 2013 | ProvSec | k-time Proxy Signature: Formal Definition and Efficient Construction. | Weiwei Liu, Guomin Yang, Yi Mu, Jiannan Wei |
| 2011 | CIS | Improving Privacy of Property-based Attestation without a Trusted Third Party. | Xing-Lan Zhang, Weiwei Liu |
| 2010 | ICNC | Evaluation model of artificial neural network for city lifeline engineering. | Qingjie Zhu, Yanhua Chen, Baoguo Jing, Weiwei Liu |
| 2006 | CDVE | A Collaborative Design Platform for Assembly Process Planning. | Yanning Xu, Weiwei Liu |
| 2004 | CSCWD | C-Superman: A Web-Based Synchronous Collaborative CAD/CAM System. | Weiwei Liu, Laishui Zhou, Haijun Zhuang |