| 2026 | EuroSys | Arena: Efficiently Training Large Models via Dynamic Scheduling and Adaptive Parallelism Co-Design. | Chunyu Xue, Weihao Cui, Quan Chen, Chen Chen, Han Zhao, Shulai Zhang, Linmei Wang, Yan Li, Limin Xiao, Weifeng Zhang, Jing Yang, Bingsheng He, Minyi Guo |
| 2026 | ICDCS | BCD-Megatron: A Cost-Effective Training System for Large Language Models. | Zeyu Liu, Yan Li, Yunquan Zhang, Boyang Zhang, Guoyong Jiang, Xin Zhang, Limin Xiao, Weifeng Zhang, Daning Cheng |
| 2026 | ISCA | NasZip: Software and Hardware Co-Design to Accelerate Approximate Nearest Neighbor Search with DIMM-Based Near-Data Processing. | Cheng Zou, Shuo Yang, Chen Nie, Yu Zou, Yu He, Chao Jiang, Limin Xiao, Weifeng Zhang, Zhezhi He |
| 2026 | SIGCOMM | EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet. | Yitao Yuan, Jianglong Nie, Tianyu Bai, Ruizhe Zhou, Siyuan Cao, Xujie Fan, Yuchen Xu, Junkai Chen, Chenqi Zhao, Nengyuan Zhang, Shaoke Fang, Jiangyuan Chen, Yuanfeng Chen, Jiaqi Sun, Zhan Wang, Xiaohua Xu, Yuchao Zhang, Yang Liu, Xiangrui Yang, Jing Lin, Xiaohe Hu, Yang Li, Chao Jiang, Limin Xiao, Weifeng Zhang, Junjie Wang, Wei Cheng, Yazhu Lan, Jianbo Dong, Binzhang Fu, Wenfei Wu |
| 2026 | SIGCOMM | Pegasus: A Data Center Network for Bare-Metal AI Cloud. | Xianneng Zou, Yadong Liu, Yiran Zhang, Jian Zhao, Zhaoxun Zhou, Qing Wang, Xingyi Li, Liang Wang, Xingda Wei, Xiaojie Huang, Zhaohe Chen, Yinben Xia, Yuxi Wang, Kai Ren, Lizhou Gao, Jiajun Liang, Jian Wang, Chunxu Zhao, Weifeng Zhang, Lu Shi, Xin Li, Jiewei Yang, Hao Lu, Yunpeng Guan, Dongbo Gu, Chao Pei, Xiang Li, Zekun He, Yong Jiang, Yachen Wang |
| 2025 | DAC | PICK: An SRAM-based Processing-in-Memory Accelerator for K-Nearest-Neighbor Search in Point Clouds. | Chen Nie, Chao Jiang, Liming Xiao, Weifeng Zhang, Zhezhi He |
| 2025 | IJCNN | EyeTransGAN: End-to-End Generation of Corneal Fluorescein Staining Images from Anterior Segment Photography with Unsupervised Semantic Consistency. | Xin Long, Xinrui Liu, Weifeng Zhang, Zeyu Zhang, Shuangjun Wu, Fan Gan, Lei Chen, Qiegen Liu |
| 2025 | IECON | SocGate: Physics-Gated Neural Network for Multi-Cycle Battery State-of-Charge Estimation. | Xilin Dai, Ruidi Zhou, Jinhao Zhang, Fanfan Lin, Weifeng Zhang, Hao Ma |
| 2025 | IECON | KUformer: KAN-UKF-Based Transformer for Battery SoH Prediction. | Jinhao Zhang, Xilin Dai, Ruidi Zhou, Weifeng Zhang, Hao Ma |
| 2025 | KDD | Boosting Deep Vector Quantization with Progressive Distribution Transformation. | Weikang Wang, Xin Zhou, Jun Liu, Weifeng Zhang, Huan Yan |
| 2025 | MICCAI | KMUNet: A Novel Medical Image Segmentation Model Based on KAN and Mamba. | Hongsheng Zhang, Yuting Duan, Ting Liu, Weifeng Zhang, Hongzhong Tang |
| 2025 | SIGCOMM | Astral: A Datacenter Infrastructure for Large Language Model Training at Scale. | Qingkai Meng, Hao Zheng, Zhenhui Zhang, ChonLam Lao, Chengyuan Huang, Baojia Li, Ziyuan Zhu, Hao Lu, Weizhen Dang, Zitong Lin, Weifeng Zhang, Lingfeng Liu, Yuanyuan Gong, Chunzhi He, Xiaoyuan Hu, Yinben Xia, Xiang Li, Zekun He, Yachen Wang, Xianneng Zou, Kun Yang, Gianni Antichi, Guihai Chen, Chen Tian |
| 2024 | ASPDAC | Challenges and Opportunities to Enable Large-Scale Computing via Heterogeneous Chiplets. | Zhuoping Yang, Shixin Ji, Xingzhen Chen, Jinming Zhuang, Weifeng Zhang, Dharmesh Jani, Peipei Zhou |
| 2024 | NPC | RV-CVP: A Flexible Variable Precision RISC-V ISA Extension for Convolutional Neural Network. | Jingyi Zhu, Di Zhao, Weifeng Zhang, Zhijie Jia, Boran Liu, Guokai Chen |
| 2024 | QRS | Directed Fuzzing with Adaptive Path Guidance and Weighted Distribution. | Ke Ding, Ziyuan Wang, Weifeng Zhang |
| 2023 | AAAI | DyCVAE: Learning Dynamic Causal Factors for Non-stationary Series Domain Generalization (Student Abstract). | Weifeng Zhang, Zhiyuan Wang, Kunpeng Zhang, Ting Zhong, Fan Zhou |
| 2023 | ICCD | GIM: Versatile GNN Acceleration with Reconfigurable Processing-in-Memory. | Chen Nie, Guoyang Chen, Weifeng Zhang, Zhezhi He |
| 2023 | ICIG | Strip-FFT Transformer for Single Image Deblurring. | Lei Liu, Yulong Zhu, Haoyu Zhang, Weifeng Zhang, Hong Peng |
| 2023 | ISSTA | NodeRT: Detecting Races in Node.js Applications Practically. | Jingyao Zhou, Lei Xu, Gongzheng Lu, Weifeng Zhang, Xiangyu Zhang |
| 2023 | MICCAI | Advancing Multi-organ and Pan-Cancer Segmentation in Abdominal CT Scans Through Scale-Aware and Self-attentive Modulation. | Pengju Lyu, Junchen Xiong, Wei Fang, Weifeng Zhang, Cheng Wang, Jianjun Zhu |
| 2022 | CVPR | Learning to Affiliate: Mutual Centralized Learning for Few-shot Classification. | Yang Liu, Weifeng Zhang, Chao Xiang, Tu Zheng, Deng Cai, Xiaofei He |
| 2022 | FPGA | N3H-Core: Neuron-designed Neural Network Accelerator via FPGA-based Heterogeneous Computing Cores. | Yu Gong, Zhihan Xu, Zhezhi He, Weifeng Zhang, Xiaobing Tu, Xiaoyao Liang, Li Jiang |
| 2022 | INFOCOM | CausalRD: A Causal View of Rumor Detection via Eliminating Popularity and Conformity Biases. | Weifeng Zhang, Ting Zhong, Ce Li, Kunpeng Zhang, Fan Zhou |
| 2021 | ICLR | Simple Augmentation Goes a Long Way: ADRL for DNN Quantization. | Lin Ning, Guoyang Chen, Weifeng Zhang, Xipeng Shen |
| 2021 | IJCNN | A Lightweight Object Detection Framework. | Weifeng Zhang, Jiajia Ni, Zhen Chao, Qingmao Hu |
| 2021 | IJCNN | Symmetric Triangle Network for Object Detection Within X-ray Baggage Security Imagery. | Weifeng Zhang, Jiajia Ni, Libo Liu, Qingmao Hu |
| 2021 | ICS | Enabling energy-efficient DNN training on hybrid GPU-FPGA accelerators. | Xin He, Jiawen Liu, Zhen Xie, Hao Chen, Guoyang Chen, Weifeng Zhang, Dong Li |
| 2021 | PPoPP | EGEMM-TC: accelerating scientific computing on tensor cores with extended precision. | Boyuan Feng, Yuke Wang, Guoyang Chen, Weifeng Zhang, Yuan Xie, Yufei Ding |
| 2020 | AAAI | Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness. | Huijie Feng, Chunpeng Wu, Guoyang Chen, Weifeng Zhang, Yang Ning |
| 2020 | CIKM | Multiplex Graph Neural Networks for Multi-behavior Recommendation. | Weifeng Zhang, Jingwen Mao, Yi Cao, Congfu Xu |
| 2020 | ISCA | iPIM: Programmable In-Memory Image Processing Accelerator Using Near-Bank Architecture. | Peng Gu, Xinfeng Xie, Yufei Ding, Guoyang Chen, Weifeng Zhang, Dimin Niu, Yuan Xie |
| 2020 | ICSE | CPC: automatically classifying and propagating natural language comments via program analysis. | Juan Zhai, Xiangzhe Xu, Yu Shi, Guanhong Tao, Minxue Pan, Shiqing Ma, Lei Xu, Weifeng Zhang, Lin Tan, Xiangyu Zhang |
| 2020 | Networking | Achieving Optimal Edge-based Congestion-aware Load Balancing in Data Center Networks. | Weifeng Zhang, Dongfang Ling, Yuanrong Zhang, Pengfei Li, Guo Chen |
| 2019 | CIKM | HiCAN: Hierarchical Convolutional Attention Network for Sequence Modeling. | Yi Cao, Weifeng Zhang, Bo Song, Congfu Xu |
| 2019 | CIKM | Session-based Recommendation with Hierarchical Memory Networks. | Bo Song, Yi Cao, Weifeng Zhang, Congfu Xu |
| 2019 | ICTAI | SARC: Split-and-Recombine Networks for Knowledge-Based Recommendation. | Weifeng Zhang, Yi Cao, Congfu Xu |
| 2018 | KSEM | Fine-Grained Correlation Learning with Stacked Co-attention Networks for Cross-Modal Information Retrieval. | Yuhang Lu, Jing Yu, Yanbing Liu, Jianlong Tan, Li Guo, Weifeng Zhang |
| 2016 | ICST | Analyzing Minimal Failure-Causing Schemas in Siemens Suite. | Chiya Xu, Yuanchao Qi, Ziyuan Wang, Weifeng Zhang |
| 2016 | ICWS | Statically Detect Data Races for WS-BPEL Web Services by Constraint Solver. | Lei Xu, Quan Sun, Baowen Xu, Weifeng Zhang |
| 2016 | ISSRE | Replaying Harmful Data Races in Android Apps. | Quan Sun, Lei Xu, Lin Chen, Weifeng Zhang |
| 2016 | QRS | Recommendations Based on LDA Topic Model in Android Applications. | Tianhao Pan, Weifeng Zhang, Ziyuan Wang, Lei Xu |
| 2015 | COMPSAC | Spectrum-Based Fault Localization Method with Test Case Reduction. | Xiaohong Zhang, Ziyuan Wang, Weifeng Zhang, Hui Ding, Lin Chen |
| 2015 | QRS | UT-LDA Based Similarity Computing in Microblog. | Weifeng Zhang, Tianhao Pan, Yun Wang, Ziyuan Wang, Lei Xu |
| 2013 | SEKE | Generating Partial Covering Array for Locating Faulty Interactions in Combinatorial Testing. | Ziyuan Wang, Ting Guo, Wujie Zhou, Weifeng Zhang, Baowen Xu |
| 2012 | ICMLC | Semi-automatic image annotation using sparse coding. | Weifeng Zhang, Zengchang Qin, Tao Wan |
| 2012 | ISCAS | A 127mW SAW-less LTE transmitter with LC-load bootstrapped quadrature voltage modulator in 130nm RFCMOS. | Weifeng Zhang, Jiwei Huang, Riyan Wang, Fang Min, Zhengping Li |
| 2012 | ISNN | Reflectance Estimation Using Local Regression Methods. | Weifeng Zhang, Peng Yang, Dao-Qing Dai, Arye Nehorai |
| 2011 | ICMLC | Image scene categorization using multi-bag-of-features. | Weifeng Zhang, Zengchang Qin, Tao Wan |
| 2011 | SAC | Harmonic functions based semi-supervised learning for web spam detection. | Weifeng Zhang, Danmei Zhu, Yingzhou Zhang, Guoqiang Zhou, Baowen Xu |
| 2010 | ICMLC | Gene time series data clustering based on continuous representations and an energy based similarity measure. | Weifeng Zhang, Chao-Chun Liu, Hong Yan |
| 2010 | ICMLC | Dissimilarity measure of logical expressions. | Weifeng Zhang, Zengchang Qin |
| 2010 | ISNN | Temporal Gene Expression Profiles Reconstruction by Support Vector Regression and Framelet Kernel. | Weifeng Zhang, Chao-Chun Liu, Hong Yan |
| 2007 | HPCA | Accelerating and Adapting Precomputation Threads for Effcient Prefetching. | Weifeng Zhang, Dean M. Tullsen, Brad Calder |
| 2007 | ICCS | Description Logic Representation for Requirement Specification. | Yingzhou Zhang, Weifeng Zhang |
| 2007 | PAKDD | On a New Class of Framelet Kernels for Support Vector Regression and Regularization Networks. | Weifeng Zhang, Dao-Qing Dai, Hong Yan |
| 2006 | CGO | A Self-Repairing Prefetcher in an Event-Driven Dynamic Optimization Framework. | Weifeng Zhang, Brad Calder, Dean M. Tullsen |
| 2006 | ICCD | Speculative Code Value Specialization Using the Trace Cache Fill Unit. | Weifeng Zhang, Brad Calder, Dean M. Tullsen, Steve Checkoway |
| 2005 | CW | A Document Classification Approach By GA Feature Extraction Based Corner Classification Neural Network. | Weifeng Zhang, Baowen Xu, Zifeng Cui |
| 2005 | ISPA | User's Rough Set Based Fuzzy Interest Model in Mining WWW Cache. | Weifeng Zhang, Baowen Xu, Guoqiang Zhou |
| 2002 | CW | Result Integration in a Meta Web Search Engine. | Baowen Xu, Weifeng Zhang, Hongji Yang |
| 2001 | COMPSAC | A Rough Set Based Self-Adaptive Web Search Engine. | Baowen Xu, Weifeng Zhang, Hongji Yang, William C. Chu |
| 2000 | WISE | Data Mining Algorithms for Web Pre-Fetching. | Weifeng Zhang, Baowen Xu, William Song, Hongji Yang, Kecheng Liu |