Wei Niu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
59
Venues
28
Active years
2013–2026
Best venue rank
A*
Where they publish
- A*AAAI8 papers
- A*CVPR6 papers
- A*ASPLOS4 papers
- A*ECCV4 papers
- A*IJCAI4 papers
- ARTAS3 papers
- A*ICLR2 papers
- AICS2 papers
- BCASC2 papers
- A*DAC2 papers
- ACIKM2 papers
- ARecSys2 papers
- A*SIGIR2 papers
- CCIS2 papers
- AMobisys1 paper
- A*SP1 paper
- MulticonferenceICASSP1 paper
- ANAACL1 paper
- AUSENIX1 paper
- A*MICRO1 paper
- BASPDAC1 paper
- NationalHiPC1 paper
- A*ICCV1 paper
- A*PLDI1 paper
- BSPLC1 paper
- AWSDM1 paper
- AECIR1 paper
- NationalICNC1 paper
Papers
59 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ASPLOS | FlashMem: Supporting Modern DNN Workloads on Mobile with GPU Memory Hierarchy Optimizations. | Zhihao Shu, Md. Musfiqur Rahman Sanim, Hangyu Zheng, Kunxiong Zhu, Miao Yin, Gagan Agrawal, Wei Niu |
| 2026 | Mobisys | FBLayout: Optimizing Memory Layout for Efficient LLM Finetuning on Mobile GPUs. | Kahou Tam, Wei Niu, Yu Bao, Xiaomin Ouyang, ChengZhong Xu, Li Li |
| 2026 | SP | MetaBreak: Jailbreaking Online LLM Services via Special Token Manipulation. | Wentian Zhu, Zhen Xiang, Wei Niu, Le Guan |
| 2025 | AAAI | Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment. | Jun Liu, Zhenglun Kong, Pu Zhao, Changdi Yang, Xuan Shen, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang |
| 2025 | AAAI | LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers. | Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Yanyu Li, Yifan Gong, Kai Zhang, Hao Tan, Jason Kuen, Henghui Ding, Zhihao Shu, Wei Niu, Pu Zhao, Yanzhi Wang, Jiuxiang Gu |
| 2025 | CVPR | AdaCM^2: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction. | Yuanbin Man, Ying Huang, Chengming Zhang, Bingzhe Li, Wei Niu, Miao Yin |
| 2025 | CVPR | QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge. | Xuan Shen, Weize Ma, Jing Liu, Changdi Yang, Rui Ding, Quanyi Wang, Henghui Ding, Wei Niu, Yanzhi Wang, Pu Zhao, Jun Lin, Jiuxiang Gu |
| 2025 | CVPR | GaussianSpa: An "Optimizing-Sparsifying" Simplification Framework for Compact and High-Quality 3D Gaussian Splatting. | Yangming Zhang, Wenqi Jia, Wei Niu, Miao Yin |
| 2025 | ICASSP | RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation. | Jun Liu, Zhenglun Kong, Peiyan Dong, Xuan Shen, Pu Zhao, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang |
| 2025 | ICLR | Sparse Learning for State Space Models on Mobile. | Xuan Shen, Hangyu Zheng, Yifan Gong, Zhenglun Kong, Changdi Yang, Zheng Zhan, Yushu Wu, Xue Lin, Yanzhi Wang, Pu Zhao, Wei Niu |
| 2025 | ICS | NeurLZ: An Online Neural Learning-based Method to Enhance Scientific Lossy Compression. | Wenqi Jia, Zhewen Hu, Youyuan Liu, Boyuan Zhang, Jinzhen Wang, Jinyang Liu, Wei Niu, Stavros Kalafatis, Junzhou Huang, Sian Jin, Daoce Wang, Jiannan Tian, Miao Yin |
| 2025 | NAACL | Learning LLM Preference over Intra-Dialogue Pairs: A Framework for Utterance-level Understandings. | Xuanqing Liu, Luyang Kong, Wei Niu, Afshin Khashei, Belinda Zeng, Steve Johnson, Jon Jay, Davor Golac, Matt Pope |
| 2024 | ASPLOS | SoD | Wei Niu, Gagan Agrawal, Bin Ren |
| 2024 | ASPLOS | SmartMem: Layout Transformation Elimination and Adaptation for Efficient DNN Execution on Mobile. | Wei Niu, Md. Musfiqur Rahman Sanim, Zhihao Shu, Jiexiong Guan, Xipeng Shen, Miao Yin, Gagan Agrawal, Bin Ren |
| 2024 | CASC | Stability Analysis of a Differential Model for Quasi-Periodic Plasma Perturbations. | Le Deng, Bo Huang, Wei Niu, Jichao Song, Xinyu Wang |
| 2024 | ECCV | Data Overfitting for On-device Super-Resolution with Dynamic Algorithm and Compiler Co-design. | Gen Li, Zhihao Shu, Jie Ji, Minghai Qin, Fatemeh Afghah, Wei Niu, Xiaolong Ma |
| 2024 | ICLR | NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization. | Gen Li, Lu Yin, Jie Ji, Wei Niu, Minghai Qin, Bin Ren, Linke Guo, Shiwei Liu, Xiaolong Ma |
| 2023 | AAAI | Towards Real-Time Segmentation on the Edge. | Yanyu Li, Changdi Yang, Pu Zhao, Geng Yuan, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Qing Jin, Bin Ren, Xue Lin, Yanzhi Wang |
| 2023 | CASC | Stability and Zero-Hopf Bifurcation Analysis of the Lorenz-Stenflo System Using Symbolic Methods. | Bo Huang, Xiaoliang Li, Wei Niu, Shaofen Xie |
| 2023 | CVPR | Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting. | Gen Li, Jie Ji, Minghai Qin, Wei Niu, Bin Ren, Fatemeh Afghah, Linke Guo, Xiaolong Ma |
| 2023 | CVPR | Pruning Parameterization with Bi-level Optimization for Efficient Semantic Segmentation on the Edge. | Changdi Yang, Pu Zhao, Yanyu Li, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Bin Ren, Xue Lin, Yanzhi Wang |
| 2023 | USENIX | Decentralized Application-Level Adaptive Scheduling for Multi-Instance DNNs on Open Mobile Devices. | Hsin-Hsuan Sung, Jou-An Chen, Wei Niu, Jiexiong Guan, Bin Ren, Xipeng Shen |
| 2022 | ECCV | SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning. | Zhenglun Kong, Peiyan Dong, Xiaolong Ma, Xin Meng, Wei Niu, Mengshu Sun, Xuan Shen, Geng Yuan, Bin Ren, Hao Tang, Minghai Qin, Yanzhi Wang |
| 2022 | ECCV | Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution. | Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan, Wei Niu, Hao Tang, Minghai Qin, Bin Ren, Yanzhi Wang |
| 2022 | IJCAI | Real-Time Portrait Stylization on the Edge. | Yanyu Li, Xuan Shen, Geng Yuan, Jiexiong Guan, Wei Niu, Hao Tang, Bin Ren, Yanzhi Wang |
| 2022 | MICRO | GCD | Wei Niu, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Gagan Agrawal, Bin Ren |
| 2022 | RTAS | Brief Industry Paper: Enabling Level-4 Autonomous Driving on a Single $1k Off-the-Shelf Card. | Hsin-Hsuan Sung, Yuanchao Xu, Jiexiong Guan, Wei Niu, Bin Ren, Yanzhi Wang, Shaoshan Liu, Xipeng Shen |
| 2021 | AAAI | YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design. | Yuxuan Cai, Hongjia Li, Geng Yuan, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang |
| 2021 | AAAI | A Compression-Compilation Co-Design Framework Towards Real-Time Object Detection on Mobile Devices. | Yuxuan Cai, Geng Yuan, Hongjia Li, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang |
| 2021 | AAAI | RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices. | Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Sijia Liu, Xue Lin, Bin Ren |
| 2021 | ASPDAC | Real-Time Mobile Acceleration of DNNs: From Computer Vision to Medical Applications. | Hongjia Li, Geng Yuan, Wei Niu, Yuxuan Cai, Mengshu Sun, Zhengang Li, Bin Ren, Xue Lin, Yanzhi Wang |
| 2021 | CVPR | NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. | Zhengang Li, Geng Yuan, Wei Niu, Pu Zhao, Yanyu Li, Yuxuan Cai, Xuan Shen, Zheng Zhan, Zhenglun Kong, Qing Jin, Zhiyu Chen, Sijia Liu, Kaiyuan Yang, Bin Ren, Yanzhi Wang, Xue Lin |
| 2021 | DAC | Neural Pruning Search for Real-Time Object Detection of Autonomous Vehicles. | Pu Zhao, Geng Yuan, Yuxuan Cai, Wei Niu, Qi Liu, Wujie Wen, Bin Ren, Yanzhi Wang, Xue Lin |
| 2021 | HiPC | HEALS: A Parallel eALS Recommendation System on CPU/GPU Heterogeneous Platforms. | Qihan Wang, Wei Niu, Li Chen, Ruoming Jin, Bin Ren |
| 2021 | ICCV | Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search. | Zheng Zhan, Yifan Gong, Pu Zhao, Geng Yuan, Wei Niu, Yushu Wu, Tianyun Zhang, Malith Jayaweera, David R. Kaeli, Bin Ren, Xue Lin, Yanzhi Wang |
| 2021 | IJCAI | A Compression-Compilation Framework for On-mobile Real-time BERT Applications. | Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang |
| 2021 | IJCAI | Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices. | Xuan Shen, Geng Yuan, Wei Niu, Xiaolong Ma, Jiexiong Guan, Zhengang Li, Bin Ren, Yanzhi Wang |
| 2021 | ICS | ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning. | Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon Song, Dingwen Tao |
| 2021 | PLDI | DNNFusion: accelerating deep neural networks execution with advanced operator fusion. | Wei Niu, Jiexiong Guan, Yanzhi Wang, Gagan Agrawal, Bin Ren |
| 2021 | RTAS | Work in Progress: Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. | Geng Yuan, Peiyan Dong, Mengshu Sun, Wei Niu, Zhengang Li, Yuxuan Cai, Jun Liu, Weiwen Jiang, Xue Lin, Bin Ren, Xulong Tang, Yanzhi Wang |
| 2021 | RTAS | Brief Industry Paper: Towards Real-Time 3D Object Detection for Autonomous Vehicles with Pruning Search. | Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Hsin-Hsuan Sung, Shaoshan Liu, Sijia Liu, Xipeng Shen, Bin Ren, Yanzhi Wang, Xue Lin |
| 2020 | AAAI | PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices. | Xiaolong Ma, Fu-Ming Guo, Wei Niu, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang |
| 2020 | ASPLOS | PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning. | Wei Niu, Xiaolong Ma, Sheng Lin, Shihao Wang, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren |
| 2020 | DAC | RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition. | Peiyan Dong, Siyue Wang, Wei Niu, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, Dingwen Tao |
| 2020 | ECCV | An Image Enhancing Pattern-Based Sparsity for Real-Time Inference on Mobile Devices. | Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Wujie Wen, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang |
| 2020 | IJCAI | Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization. | Wei Niu, Pu Zhao, Zheng Zhan, Xue Lin, Yanzhi Wang, Bin Ren |
| 2019 | CIKM | A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists. | Yun He, Jianling Wang, Wei Niu, James Caverlee |
| 2019 | SPLC | DNA as features: organic software product lines. | Mikaela Cashman, Justin W. Firestone, Myra B. Cohen, Thammasak Thianniwet, Wei Niu |
| 2018 | AAAI | Location-Sensitive User Profiling Using Crowdsourced Labels. | Wei Niu, James Caverlee, Haokai Lu |
| 2018 | RecSys | Quality-aware neural complementary item recommendation. | Yin Zhang, Haokai Lu, Wei Niu, James Caverlee |
| 2018 | SIGIR | Learning Geo-Social User Topical Profiles with Bayesian Hierarchical User Factorization. | Haokai Lu, Wei Niu, James Caverlee |
| 2018 | WSDM | Neural Personalized Ranking for Image Recommendation. | Wei Niu, James Caverlee, Haokai Lu |
| 2017 | SIGIR | Crowdsourced App Review Manipulation. | Shanshan Li, James Caverlee, Wei Niu, Parisa Kaghazgaran |
| 2016 | CIS | An Architecture Modeling and Simulation Methods of Integrated Electromechanical Management System. | Peng Guo, Yunming Sun, Wei Niu, Chong Qin |
| 2016 | CIS | The Distributed Dissimilar Redundancy Architecture of Fly-by-Wire Flight Control System. | Ying Xue, Zhenqiang Yao, Wei Niu |
| 2016 | ECIR | LExL: A Learning Approach for Local Expert Discovery on Twitter. | Wei Niu, Zhijiao Liu, James Caverlee |
| 2016 | RecSys | Discovering What You're Known For: A Contextual Poisson Factorization Approach. | Haokai Lu, James Caverlee, Wei Niu |
| 2015 | CIKM | BiasWatch: A Lightweight System for Discovering and Tracking Topic-Sensitive Opinion Bias in Social Media. | Haokai Lu, James Caverlee, Wei Niu |
| 2013 | ICNC | Goods distribution based on simulation annealing and dynamic programming. | Xiaodong Wang, Jun Feng, Wei Niu, Yao-lin Li, Xiao-long Zhao |