| 2026 | AAAI | HCC-3D: Hierarchical Compensatory Compression for 98% 3D Token Reduction in Vision-Language Models. | Liheng Zhang, Jin Wang, Hui Li, Bingfeng Zhang, Weifeng Liu |
| 2026 | ACL | Enhancing the Transferability of Jailbreak Attacks on Large Language Models via Exploiting Reparameterization Invariance. | Ao Wang, Xinghao Yang, Yongshun Gong, Wei Liu, Bao-di Liu, Weifeng Liu |
| 2026 | HPCA | Uni-STC: Unified Sparse Tensor Core. | Haocheng Lian, Qiyue Zhang, Xinran Zhao, Meichen Dong, Yijie Nie, Zhengyi Zhao, Junzhong Shen, Wei Guo, Chun Huang, Bingcai Sui, Weifeng Liu |
| 2026 | ICS | Non-Delayed Cholesky Factorization. | Yuchen Luo, Hongyu Chen, Shaoshuai Zhang, Weifeng Liu |
| 2026 | PPoPP | Trojan Horse: Aggregate-and-Batch for Scaling Up Sparse Direct Solvers on GPU Clusters. | Yida Li, Siwei Zhang, Yiduo Niu, Yang Du, Qingxiao Sun, Zhou Jin, Weifeng Liu |
| 2026 | PPoPP | Characterizing Matrix Multiplication Units across General Parallel Patterns in Scientific Computing. | Yuechen Lu, Hongwei Zeng, Marc Casas, Weifeng Liu |
| 2026 | PPoPP | DiggerBees: Depth First Search Leveraging Hierarchical Block-Level Stealing on GPUs. | Yuyao Niu, Yuechen Lu, Weifeng Liu, Marc Casas |
| 2025 | AAAI | Transfer Learning of Real Image Features with Soft Contrastive Loss for Fake Image Detection. | Ziyou Liang, Weifeng Liu, Run Wang, Mengjie Wu, Boheng Li, Yuyang Zhang, Lina Wang, Xinyi Yang |
| 2025 | AAAI | Modeling All Response Surfaces in One for Conditional Search Spaces. | Jiaxing Li, Wei Liu, Chao Xue, Yibing Zhan, Xiaoxing Wang, Weifeng Liu, Dacheng Tao |
| 2025 | AAAI | Excluding the Impossible for Open Vocabulary Semantic Segmentation. | Shiyuan Zhao, Baodi Liu, Yu Bai, Weifeng Liu, Shuai Shao |
| 2025 | DAC | MemSens: Significantly Reducing Memory Overhead in Adjoint Sensitivity Analysis Using Novel Error-Bounded Lossy Compression. | Chenxi Li, Yihang Feng, Fuxing Deng, Dingwen Tao, Weifeng Liu, Zhou Jin |
| 2025 | EMNLP | Disentangled Information Bottleneck for Adversarial Text Defense. | Yidan Xu, Xinghao Yang, Wei Liu, Bao-di Liu, Weifeng Liu |
| 2025 | EMNLP | Long-context Language Models Fail in Basic Retrieval Tasks Without Sufficient Reasoning Steps. | Yijiong Yu, Zhixiao Qi, Yongfeng Huang, Wei Wang, Weifeng Liu, Ran Chen, Ji Pei |
| 2025 | ISCAS | ReRAM-Based Process-In-Memory Accelerator for Iterative Solvers: A Systematic Survey. | Boyu Geng, Mingjia Fan, Zhou Jin, Weifeng Liu |
| 2025 | MICCAI | Domain Generalization for Mammogram Classification by Suppressing Domain-Specific Features. | Jiqun Chen, Luhao Sun, Wenzong Jiang, Weifeng Liu, Chao Li, Zhiyong Yu, Baodi Liu |
| 2025 | SC | KAMI: Communication-Avoiding General Matrix Multiplication within a Single GPU. | Hemeng Wang, Yang Du, Sidu Li, Xiaowen Tian, Qingxiao Sun, Weifeng Liu |
| 2024 | AAAI | A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives. | Yudong Gao, Honglong Chen, Peng Sun, Junjian Li, Anqing Zhang, Zhibo Wang, Weifeng Liu |
| 2024 | ASPDAC | Machine Learning and GPU Accelerated Sparse Linear Solvers for Transistor-Level Circuit Simulation: A Perspective Survey (Invited Paper). | Zhou Jin, Wenhao Li, Yinuo Bai, Tengcheng Wang, Yicheng Lu, Weifeng Liu |
| 2024 | CVPR | Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation. | Hanyang Chi, Jian Pang, Bingfeng Zhang, Weifeng Liu |
| 2024 | CVPR | Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation. | Jin Wang, Bingfeng Zhang, Jian Pang, Honglong Chen, Weifeng Liu |
| 2024 | DAC | ReCG: ReRAM-Accelerated Sparse Conjugate Gradient. | Mingjia Fan, Xiaoming Chen, Dechuang Yang, Zhou Jin, Weifeng Liu |
| 2024 | DAC | MASC: A Memory-Efficient Adjoint Sensitivity Analysis through Compression Using Novel Spatiotemporal Prediction. | Chenxi Li, Boyuan Zhang, Yongqiang Duan, Yang Li, Zuochang Ye, Weifeng Liu, Dingwen Tao, Zhou Jin |
| 2024 | DATE | Efficient Spectral-Aware Power Supply Noise Analysis for Low-Power Design Verification. | Yinuo Bai, Xiaoyu Yang, Yicheng Lu, Dan Niu, Cheng Zhuo, Zhou Jin, Weifeng Liu |
| 2024 | DATE | Cuper: Customized Dataflow and Perceptual Decoding for Sparse Matrix-Vector Multiplication on HBM-Equipped FPGAs. | Enxin Yi, Yiru Duan, Yinuo Bai, Kang Zhao, Zhou Jin, Weifeng Liu |
| 2024 | EMNLP | Adaptive Immune-based Sound-Shape Code Substitution for Adversarial Chinese Text Attacks. | Ao Wang, Xinghao Yang, Chen Li, Baodi Liu, Weifeng Liu |
| 2024 | ICCAD | Leda: Leveraging Tiling Dataflow to Accelerate SpMM on HBM-Equipped FPGAs for GNNs. | Enxin Yi, Jiarui Bai, Yijie Nie, Dan Niu, Zhou Jin, Weifeng Liu |
| 2024 | ICCAD | CSP: Comprehensively-Sparsified Preconditioner for Efficient Nonlinear Circuit Simulation. | Yuxuan Zhao, Xiaoyu Yang, Yinuo Bai, Lijie Zeng, Dan Niu, Weifeng Liu, Zhou Jin |
| 2024 | ICTAI | HTPSeg: A Semantic Segmentation Database for House-Tree-Person Psychological Test. | Hao Wang, Jin Wang, Ting Pan, Bingfeng Zhang, Weifeng Liu |
| 2024 | SC | AmgT: Algebraic Multigrid Solver on Tensor Cores. | Yuechen Lu, Lijie Zeng, Tengcheng Wang, Xu Fu, Wenxuan Li, Helin Cheng, Dechuang Yang, Zhou Jin, Marc Casas, Weifeng Liu |
| 2024 | SC | Mille-feuille: A Tile-Grained Mixed Precision Single-Kernel Conjugate Gradient Solver on GPUs. | Dechuang Yang, Yuxuan Zhao, Yiduo Niu, Weile Jia, En Shao, Weifeng Liu, Guangming Tan, Zhou Jin |
| 2023 | CCGRID | Balancing Computation and Communication in Distributed Sparse Matrix-Vector Multiplication. | Hongli Mi, Xiangrui Yu, Xiaosong Yu, Shuangyuan Wu, Weifeng Liu |
| 2023 | CLUSTER | HASpMV: Heterogeneity-Aware Sparse Matrix-Vector Multiplication on Modern Asymmetric Multicore Processors. | Wenxuan Li, Helin Cheng, Zhengyang Lu, Yuechen Lu, Weifeng Liu |
| 2023 | DAC | AmgR: Algebraic Multigrid Accelerated on ReRAM. | Mingjia Fan, Xiaotian Tian, Yintao He, Junxian Li, Yiru Duan, Xiaozhe Hu, Ying Wang, Zhou Jin, Weifeng Liu |
| 2023 | DAC | Accelerating Sparse LU Factorization with Density-Aware Adaptive Matrix Multiplication for Circuit Simulation. | Tengcheng Wang, Wenhao Li, Haojie Pei, Yuying Sun, Zhou Jin, Weifeng Liu |
| 2023 | ICDE | Tensor Canonical Correlation Analysis Networks for Multi-view Remote Sensing Scene Recognition (Extended Abstract). | Xinghao Yang, Weifeng Liu, Wei Liu |
| 2023 | ICIG | Attribute Space Analysis for Image Editing. | Yiping Chen, Shuqi Yang, Baodi Liu, Weifeng Liu |
| 2023 | ICIP | Self-Compensating Learning for Few-Shot Segmentation. | Jin Wang, Bingfeng Zhang, Weifeng Liu, Baodi Liu, Siyue Yu |
| 2023 | ICML | Tilted Sparse Additive Models. | Yingjie Wang, Hong Chen, Weifeng Liu, Fengxiang He, Tieliang Gong, Youcheng Fu, Dacheng Tao |
| 2023 | ICPP | HASpGEMM: Heterogeneity-Aware Sparse General Matrix-Matrix Multiplication on Modern Asymmetric Multicore Processors. | Helin Cheng, Wenxuan Li, Yuechen Lu, Weifeng Liu |
| 2023 | IJCAI | Annealing Genetic-based Preposition Substitution for Text Rubbish Example Generation. | Chen Li, Xinghao Yang, Baodi Liu, Weifeng Liu, Honglong Chen |
| 2023 | IJCNN | Prompt-Learning for Cross-Lingual Relation Extraction. | Chiaming Hsu, Changtong Zan, Liang Ding, Longyue Wang, Xiaoting Wang, Weifeng Liu, Fu Lin, Wenbin Hu |
| 2023 | MMM | Generating New Paintings by Semantic Guidance. | Ting Pan, Fei Wang, Junzhou Xie, Weifeng Liu |
| 2023 | SMC | Deep Positional-Representation-Based Local Information Retention Networks for Mammography Classification. | Bowen Han, Luhao Sun, Chao Li, Zhiyong Yu, Wenzong Jiang, Weifeng Liu, Dapeng Tao, Baodi Liu |
| 2023 | SC | PanguLU: A Scalable Regular Two-Dimensional Block-Cyclic Sparse Direct Solver on Distributed Heterogeneous Systems. | Xu Fu, Bingbin Zhang, Tengcheng Wang, Wenhao Li, Yuechen Lu, Enxin Yi, Jianqi Zhao, Xiaohan Geng, Fangying Li, Jingwen Zhang, Zhou Jin, Weifeng Liu |
| 2023 | SC | DASP: Specific Dense Matrix Multiply-Accumulate Units Accelerated General Sparse Matrix-Vector Multiplication. | Yuechen Lu, Weifeng Liu |
| 2022 | COLING | On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation. | Changtong Zan, Liang Ding, Li Shen, Yu Cao, Weifeng Liu, Dacheng Tao |
| 2022 | ICASSP | Enrich Features for Few-Shot Point Cloud Classification. | Hengxin Feng, Weifeng Liu, Yanjiang Wang, Baodi Liu |
| 2022 | ICASSP | Agcyclegan: Attention-Guided Cyclegan for Single Underwater Image Restoration. | Zhenlong Wang, Weifeng Liu, Yanjiang Wang, Baodi Liu |
| 2022 | ICIP | MSL-FER: Mirrored Self-Supervised Learning for Facial Expression Recognition. | Xiangshuai Pan, Weifeng Liu, Yanjiang Wang, Xiaoping Lu, Baodi Liu |
| 2022 | ICONIP | Image Super-Resolution Based on Adaptive Feature Fusion Channel Attention. | Qizhang Song, Baodi Liu, Weifeng Liu |
| 2022 | ICONIP | Virtual Try-on via Matching Relation with Landmark. | Hao Wu, Xingxing Yao, Baodi Liu, Xiaoping Lu, Weifeng Liu |
| 2022 | ICPP | TileSpMSpV: A Tiled Algorithm for Sparse Matrix-Sparse Vector Multiplication on GPUs. | Haonan Ji, Huimin Song, Shibo Lu, Zhou Jin, Guangming Tan, Weifeng Liu |
| 2022 | ICTAI | EMAS: Efficient Meta Architecture Search for Few-Shot Learning. | Dongkai Liu, Jiaxing Li, Honglong Chen, Baodi Liu, Xiaoping Lu, Weifeng Liu |
| 2022 | ICTAI | Automated Drawing Psychoanalysis via House-Tree-Person Test. | Ting Pan, Xiaoming Zhao, Baodi Liu, Weifeng Liu |
| 2022 | PPoPP | TileSpGEMM: a tiled algorithm for parallel sparse general matrix-matrix multiplication on GPUs. | Yuyao Niu, Zhengyang Lu, Haonan Ji, Shuhui Song, Zhou Jin, Weifeng Liu |
| 2022 | SMC | MVFF: Multi-view Feature Fusion for Few-shot Remote Sensing Image Scene Classification. | Anxun Han, Lei Xing, Weifeng Liu, Baodi Liu |
| 2022 | SMC | Multi-task Facial Expression Recognition With Joint Gender Learning. | Xiangshuai Pan, Qingtao Xie, Weifeng Liu, Baodi Liu |
| 2022 | SMC | Multi-relational Semantic Distillation for Few-Shot Object Detection. | Qingtao Xie, Xiangshuai Pan, Weifeng Liu, Baodi Liu |
| 2022 | SIGIR | Where Does the Performance Improvement Come From?: - A Reproducibility Concern about Image-Text Retrieval. | Jun Rao, Fei Wang, Liang Ding, Shuhan Qi, Yibing Zhan, Weifeng Liu, Dacheng Tao |
| 2021 | AAAI | Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search. | Xinghao Yang, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu |
| 2021 | DAC | SFLU: Synchronization-Free Sparse LU Factorization for Fast Circuit Simulation on GPUs. | Jianqi Zhao, Yao Wen, Yuchen Luo, Zhou Jin, Weifeng Liu, Zhenya Zhou |
| 2021 | ICANN | Leveraging GANs via Non-local Features. | Xuyang Peng, Weifeng Liu, Baodi Liu, Kai Zhang, Xiaoping Lu, Yicong Zhou |
| 2021 | ICIP | Linked Attention-Based Dynamic Graph Convolution Module for Point Cloud Classification. | Xiaolong Lu, Baodi Liu, Weifeng Liu, Kai Zhang, Ye Li, Xiaoping Lu |
| 2021 | ICIP | Affine Non-Negative Collaborative Representation for Deep Metric Learning. | Min Zhu, Bao-Di Liu, Weifeng Liu, Kai Zhang, Ye Li, Xiaoping Lu |
| 2021 | IJCAI | BESA: BERT-based Simulated Annealing for Adversarial Text Attacks. | Xinghao Yang, Weifeng Liu, Dacheng Tao, Wei Liu |
| 2021 | SMC | Adaptive Eigenmodes for Robust Object Tracking. | Mengxue Liu, Yujuan Qi, Yanjiang Wang, Baodi Liu, Weifeng Liu |
| 2021 | SMC | From Objects to a Whole Painting. | Fei Wang, Baodi Liu, Weifeng Liu |
| 2020 | HPCC | Designing Optimized Topologies for On-Chip Massive Data Communication. | Weifeng Liu, Linping Wu, Xiaowen Xu, Meng Guo |
| 2020 | ICPP | Efficient Block Algorithms for Parallel Sparse Triangular Solve. | Zhengyang Lu, Yuyao Niu, Weifeng Liu |
| 2020 | ICPP | CapelliniSpTRSV: A Thread-Level Synchronization-Free Sparse Triangular Solve on GPUs. | Jiya Su, Feng Zhang, Weifeng Liu, Bingsheng He, Ruofan Wu, Xiaoyong Du, Rujia Wang |
| 2020 | NPC | Segmented Merge: A New Primitive for Parallel Sparse Matrix Computations. | Haonan Ji, Shibo Lu, Kaixi Hou, Hao Wang, Weifeng Liu, Brian Vinter |
| 2020 | NPC | NUMA-Aware Optimization of Sparse Matrix-Vector Multiplication on ARMv8-Based Many-Core Architectures. | Xiaosong Yu, Huihui Ma, Zhengyu Qu, Jianbin Fang, Weifeng Liu |
| 2019 | ICS | IA-SpGEMM: an input-aware auto-tuning framework for parallel sparse matrix-matrix multiplication. | Zhen Xie, Guangming Tan, Weifeng Liu, Ninghui Sun |
| 2018 | FUSION | Color Image Segmentation Based on Evidence Theory and Two-Dimensional Histogram. | Yan Liu, Deqiang Han, Zhe Zhang, Weifeng Liu, Feihu Zhang |
| 2018 | ICS | Warp-Consolidation: A Novel Execution Model for GPUs. | Ang Li, Weifeng Liu, Linnan Wang, Kevin J. Barker, Shuaiwen Leon Song |
| 2018 | PPoPP | Register-based implementation of the sparse general matrix-matrix multiplication on GPUs. | Junhong Liu, Xin He, Weifeng Liu, Guangming Tan |
| 2018 | PPoPP | swSpTRSV: a fast sparse triangular solve with sparse level tile layout on sunway architectures. | Xinliang Wang, Weifeng Liu, Wei Xue, Li Wu |
| 2018 | TrustCom | Electronic Evidence Service Research in Cloud Computing Environment. | Zhenya Chen, Weifeng Liu, Ying Yang, Jizhi Wang, Meng Guo, Lijuan Chen, Guang Yang, Jie Zhou |
| 2017 | ASPLOS | Locality-Aware CTA Clustering for Modern GPUs. | Ang Li, Shuaiwen Leon Song, Weifeng Liu, Xu Liu, Akash Kumar, Henk Corporaal |
| 2017 | ICONIP | Multiple Scale Canonical Correlation Analysis Networks for Two-View Object Recognition. | Xinghao Yang, Weifeng Liu |
| 2017 | ISCAS | A low power read-out circuit with frequency accuracy of 0.2% for capacitive and resistive sensors. | Qi Peng, Kun Wang, Xuelian Liu, Weifeng Liu, Xiaoming Li, Yiqi Zhuang |
| 2017 | ICS | Fast segmented sort on GPUs. | Kaixi Hou, Weifeng Liu, Hao Wang, Wu-chun Feng |
| 2017 | MASS | ABAid: Navigation Aid for Blind People Using Acoustic Signal. | Zehui Zheng, Weifeng Liu, Rukhsana Ruby, Yongpan Zou, Kaishun Wu |
| 2017 | SC | Exploring and analyzing the real impact of modern on-package memory on HPC scientific kernels. | Ang Li, Weifeng Liu, Mads Ruben Burgdorff Kristensen, Brian Vinter, Hao Wang, Kaixi Hou, Andres Marquez, Shuaiwen Leon Song |
| 2016 | EuroPar | A Synchronization-Free Algorithm for Parallel Sparse Triangular Solves. | Weifeng Liu, Ang Li, Jonathan D. Hogg, Iain S. Duff, Brian Vinter |
| 2016 | FUSION | A time-varying clutter intensity estimation algorithm by using Gibbs sampler and BIC. | Weifeng Liu, Hailong Cui, Chenglin Wen |
| 2016 | ICDM | Local Structure Preserving Using Manifold Regularization and Pairwise Constraints for Action Recognition. | Xueqi Ma, Zhengyang Cao, Weifeng Liu |
| 2016 | ICS | Parallel Transposition of Sparse Data Structures. | Hao Wang, Weifeng Liu, Kaixi Hou, Wu-chun Feng |
| 2016 | IECON | New approach to suppress torque ripple and improve torque output for wound-excited doubly salient machine. | Weifeng Liu, Huizhen Wang, Yongjie Wang, Lei Ren, Lan Xiao |
| 2016 | SMC | Class specific dictionary learning based kernel collaborative representation for fine-grained image classification. | Xiaojie Feng, Yanjiang Wang, Bao-Di Liu, Weifeng Liu |
| 2015 | BMVC | Unsupervised Behavior-Specific Dictionary Learning for Abnormal Event Detection. | Huamin Ren, Weifeng Liu, Sren Ingvor Olsen, Sergio Escalera, Thomas B. Moeslund |
| 2015 | ICS | CSR5: An Efficient Storage Format for Cross-Platform Sparse Matrix-Vector Multiplication. | Weifeng Liu, Brian Vinter |
| 2015 | MMM | Hessian Regularized Sparse Coding for Human Action Recognition. | Weifeng Liu, Zhen Wang, Dapeng Tao, Jun Yu |
| 2014 | ASPLOS | ad-heap: an Efficient Heap Data Structure for Asymmetric Multicore Processors. | Weifeng Liu, Brian Vinter |
| 2014 | FUSION | The fast linear multisensor RFS-multitarget tracking filters. | Weifeng Liu, Chenglin Wen |
| 2014 | SMC | Class specific subspace learning for collaborative representation. | Bao-Di Liu, Bin Shen, Yu-Xiong Wang, Weifeng Liu, Yanjiang Wang |
| 2013 | HPCC | A Self-Organizing Distributed Memory Cache for Data Sharing Applications in Cluster Environment. | Weifeng Liu, Bin Gong, Yi Hu, Yiru Guo |
| 2013 | SMC | Discriminant Multi-component Face Analysis. | Hongli Liu, Weifeng Liu, Liping Dong, Yanjiang Wang |
| 2013 | SMC | Self-Explanatory Convex Sparse Representation for Image Classification. | Bao-Di Liu, Yu-Xiong Wang, Bin Shen, Yu-Jin Zhang, Yanjiang Wang, Weifeng Liu |
| 2012 | ICARCV | Facial expression recognition based on Gabor features and sparse representation. | Weifeng Liu, Caifeng Song, Yanjiang Wang, Lu Jia |
| 2012 | ICMLA | Subject-Independent Facial Expression Recognition with Biologically Inspired Features. | Weifeng Liu, Caifeng Song, Yanjiang Wang |
| 2012 | ICMLA | Cellular Differentiation Algorithm for High Dimensional Numerical Function Optimization. | Yanjiang Wang, Chengna Yuan, Weifeng Liu |
| 2012 | ICPR | Facial expression recognition based on discriminative dictionary learning. | Weifeng Liu, Caifeng Song, Yanjiang Wang |
| 2010 | ICASSP | Fixed-budget kernel recursive least-squares. | Steven Van Vaerenbergh, Ignacio Santamara, Weifeng Liu, Jos C. Prncipe |
| 2009 | FUSION | An alternative derivation of a Bayes tracking filter based on finite mixture models. | Weifeng Liu, Chongzhao Han, Feng Lian |
| 2009 | ICNC | A Target Detection Algorithm Based on Histogram Feature and Particle Swarm. | Weifeng Liu, Yanjiang Wang |
| 2008 | FUSION | Multitarget tracking algorithm based on finite mixture models and equivalent measurement. | Weifeng Liu, Chongzhao Han |
| 2008 | IJCNN | The wellposedness analysis of the kernel adaline. | Weifeng Liu, Jos C. Prncipe |
| 2007 | ICASSP | A New Information Theoretic Measure of PDF Symmetry. | Weifeng Liu, Puskal P. Pokharel, Jos C. Prncipe |
| 2007 | ICASSP | Kernel LMS. | Puskal P. Pokharel, Weifeng Liu, Jos C. Prncipe |
| 2006 | ICPR | Facial Expression Recognition Based on Fusion of Multiple Gabor Features. | Weifeng Liu, Zengfu Wang |
| 2006 | IJCNN | Correntropy: A Localized Similarity Measure. | Weifeng Liu, Puskal P. Pokharel, Jos C. Prncipe |