Yu Wang

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 332

Top Venues

CoRR

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

ASP-DAC

DATE

Publications

Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Matthew B. Blaschko, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang
Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs. CoRR (2024)
Enshu Liu, Xuefei Ning, Huazhong Yang, Yu Wang
A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models. ICLR (2024)
Tianyu Fu, Haofeng Huang, Xuefei Ning, Genghan Zhang, Boju Chen, Tianqi Wu, Hongyi Wang, Zixiao Huang, Shiyao Li, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang
MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression. CoRR (2024)
Shiyao Li, Xuefei Ning, Shanghang Zhang, Lidong Guo, Tianchen Zhao, Huazhong Yang, Yu Wang
TCP: Triplet Contrastive-relationship Preserving for Class-Incremental Learning. WACV (2024)
Suquan Zhang, Yuanfan Xu, Shu'ang Yu, Qingmin Liao, Jincheng Yu, Yu Wang
Localization matters too: How localization error affects UAV flight. CoRR (2024)
Si Xu, Zixiao Huang, Yan Zeng, Shengen Yan, Xuefei Ning, Haolin Ye, Sipei Gu, Chunsheng Shui, Zhezheng Lin, Hao Zhang, Sheng Wang, Guohao Dai, Yu Wang
HetHub: A Heterogeneous distributed hybrid training system for large-scale models. CoRR (2024)
Rex Ying, Tianyu Fu, Andrew Wang, Jiaxuan You, Yu Wang, Jure Leskovec
Representation Learning for Frequent Subgraph Mining. CoRR (2024)
Tianchen Zhao, Xuefei Ning, Tongcheng Fang, Enshu Liu, Guyue Huang, Zinan Lin, Shengen Yan, Guohao Dai, Yu Wang
MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization. CoRR (2024)
Tianyu Fu, Chiyue Wei, Yu Wang, Rex Ying
DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting. WSDM (2024)
Yao Teng, Yue Wu, Han Shi, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li, Xihui Liu
DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis. CoRR (2024)
Xinyi Yang, Yuxiang Yang, Chao Yu, Jiayu Chen, Jingchen Yu, Haibing Ren, Huazhong Yang, Yu Wang
Active Neural Topological Mapping for Multi-Agent Exploration. IEEE Robotics Autom. Lett. 9 (1) (2024)
Lin Zhao, Tianchen Zhao, Zinan Lin, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang
FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models. CoRR (2024)
Yu Wang, Fang Sun, Ruizhen Gao, Baolong Ma, Haoze Li
Research on broken wire identification method based on PoolConv for prestressed concrete cylinder pipe. Signal Image Video Process. 18 (8-9) (2024)
Xuefei Ning, Zifu Wang, Shiyao Li, Zinan Lin, Peiran Yao, Tianyu Fu, Matthew B. Blaschko, Guohao Dai, Huazhong Yang, Yu Wang
Can LLMs Learn by Teaching? A Preliminary Study. CoRR (2024)
Jiayu Chen, Zelai Xu, Yunfei Li, Chao Yu, Jiaming Song, Huazhong Yang, Fei Fang, Yu Wang, Yi Wu
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning. AAAI (2024)
Karthik Somayaji N. S., Yu Wang, Malachi Schram, Ján Drgona, Mahantesh M. Halappanavar, Frank Liu, Peng Li
Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory. Trans. Mach. Learn. Res. 2024 (2024)
Tianchen Zhao, Tongcheng Fang, Enshu Liu, Rui Wan, Widyadewi Soedarmadji, Shiyao Li, Zinan Lin, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang
ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation. CoRR (2024)
Shulin Zeng, Jun Liu, Guohao Dai, Xinhao Yang, Tianyu Fu, Hongyi Wang, Wenheng Ma, Hanbo Sun, Shiyao Li, Zixiao Huang, Yadong Dai, Jintao Li, Zehao Wang, Ruoyu Zhang, Kairui Wen, Xuefei Ning, Yu Wang
FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs. FPGA (2024)
Tongxin Xie, Tianchen Zhao, Zhenhua Zhu, Xuefei Ning, Bing Li, Guohao Dai, Huazhong Yang, Yu Wang
DyPIM: Dynamic-Inference-Enabled Processing - In-Memory Accelerator. DATE (2024)
Xuefei Ning, Zinan Lin, Zixuan Zhou, Zifu Wang, Huazhong Yang, Yu Wang
Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation. ICLR (2024)
Yiming Chen, Mingyen Lee, Guohao Dai, Mufeng Zhou, Nagadastagiri Challapalle, Tianyi Wang, Yao Yu, Yongpan Liu, Yu Wang, Huazhong Yang, Vijaykrishnan Narayanan, Xueqing Li
GRAPHIC: Gather and Process Harmoniously in the Cache With High Parallelism and Flexibility. IEEE Trans. Emerg. Top. Comput. 12 (1) (2024)
Ke Hong, Guohao Dai, Jiaming Xu, Qiuli Mao, Xiuhong Li, Jun Liu, Kangdi Chen, Yuhan Dong, Yu Wang
FlashDecoding++: Faster Large Language Model Inference with Asynchronization, Flat GEMM Optimization, and Heuristics. MLSys (2024)
Zhihang Yuan, Pu Lu, Hanling Zhang, Xuefei Ning, Linfeng Zhang, Tianchen Zhao, Shengen Yan, Guohao Dai, Yu Wang
DiTFastAttn: Attention Compression for Diffusion Transformer Models. CoRR (2024)
Kai Zhong, Zhenhua Zhu, Guohao Dai, Hongyi Wang, Xinhao Yang, Haoyu Zhang, Jin Si, Qiuli Mao, Shulin Zeng, Ke Hong, Genghan Zhang, Huazhong Yang, Yu Wang
FEASTA: A Flexible and Efficient Accelerator for Sparse Tensor Algebra in Machine Learning. ASPLOS (3) (2024)
Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Matthew B. Blaschko, Sergey Yekhanin, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better. CoRR (2024)
Shiyao Li, Xuefei Ning, Luning Wang, Tengxuan Liu, Xiangsheng Shi, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang
Evaluating Quantized Large Language Models. CoRR (2024)
Zixuan Zhou, Xuefei Ning, Ke Hong, Tianyu Fu, Jiaming Xu, Shiyao Li, Yuming Lou, Luning Wang, Zhihang Yuan, Xiuhong Li, Shengen Yan, Guohao Dai, Xiao-Ping Zhang, Yuhan Dong, Yu Wang
A Survey on Efficient Inference for Large Language Models. CoRR (2024)
Jijia Liu, Chao Yu, Jiaxuan Gao, Yuqing Xie, Qingmin Liao, Yi Wu, Yu Wang
LLM-Powered Hierarchical Language Agent for Real-time Human-AI Coordination. AAMAS (2024)
Minhui Zou, Zhenhua Zhu, Tzofnat Greenberg-Toledo, Orian Leitersdorf, Jiang Li, Junlong Zhou, Yu Wang, Nan Du, Shahar Kvatinsky
TDPP: 2-D Permutation-Based Protection of Memristive Deep Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (3) (2024)
Yunbo Qiu, Yue Jin, Lebin Yu, Jian Wang, Yu Wang, Xudong Zhang
Improving Sample Efficiency of Multiagent Reinforcement Learning With Nonexpert Policy for Flocking Control. IEEE Internet Things J. 10 (16) (2023)
Yaoxiu Lian, Xinhao Yang, Ke Hong, Yu Wang, Guohao Dai, Ningyi Xu
A Point Transformer Accelerator with Fine-Grained Pipelines and Distribution-Aware Dynamic FPS. ICCAD (2023)
Kai Zhong, Shulin Zeng, Wentao Hou, Guohao Dai, Zhenhua Zhu, Xuecang Zhang, Shihai Xiao, Huazhong Yang, Yu Wang
CoGNN: An Algorithm-Hardware Co-Design Approach to Accelerate GNN Inference With Minibatch Sampling. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (12) (2023)
Xinyi Yang, Shiyu Huang, Yiwen Sun, Yuxiang Yang, Chao Yu, Wei-Wei Tu, Huazhong Yang, Yu Wang
Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation. CoRR (2023)
Shulin Zeng, Guohao Dai, Niansong Zhang, Xinhao Yang, Haoyu Zhang, Zhenhua Zhu, Huazhong Yang, Yu Wang
Serving Multi-DNN Workloads on FPGAs: A Coordinated Architecture, Scheduling, and Mapping Perspective. IEEE Trans. Computers 72 (5) (2023)
Shiyao Li, Zhenhua Zhu, Yu Zhu, Qingpeng Zhu, Jiangwei Zhang, Wenxiu Sun, Guohao Dai, Fei Qiao, Huazhong Yang, Yu Wang
Memory-Efficient and Real-Time SPAD-based dToF Depth Sensor with Spatial and Statistical Correlation. DAC (2023)
Jiayu Chen, Guosheng Li, Chao Yu, Xinyi Yang, Botian Xu, Huazhong Yang, Yu Wang
TaskFlex Solver for Multi-Agent Pursuit via Automatic Curriculum Learning. CoRR (2023)
Jing Zhang, Yuan Shen, Yu Wang, Xudong Zhang, Jian Wang
Dual-Timescale Resource Allocation for Collaborative Service Caching and Computation Offloading in IoT Systems. IEEE Trans. Ind. Informatics 19 (2) (2023)
Xiaoxiang Li, Yunlong Wang, Kai Ma, Lingwei Xu, Zexu Zhang, Jian Wang, Yu Wang, Yuan Shen
A Cooperative Relative Localization System for Distributed Multi-Agent Networks. IEEE Trans. Veh. Technol. 72 (11) (2023)
Hanbo Sun, Tongxin Xie, Zhenhua Zhu, Guohao Dai, Huazhong Yang, Yu Wang
Minimizing Communication Conflicts in Network-On-Chip Based Processing-In-Memory Architecture. DATE (2023)
Tianyu Fu, Chiyue Wei, Yu Wang, Rex Ying
DeSCo: Towards Generalizable and Scalable Deep Subgraph Counting. CoRR (2023)
Yi Cai, Xuefei Ning, Huazhong Yang, Yu Wang
Ensemble-in-One: Ensemble Learning within Random Gated Networks for Enhanced Adversarial Robustness. AAAI (2023)
Jiangwei Zhang, Chong Wang, Zhenhua Zhu, Donald Kline, Alex K. Jones, Huazhong Yang, Yu Wang
Realizing Extreme Endurance Through Fault-aware Wear Leveling and Improved Tolerance. HPCA (2023)
Botian Xu, Feng Gao, Chao Yu, Ruize Zhang, Yi Wu, Yu Wang
OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control. CoRR (2023)
Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models. ICML (2023)
Chao Yu, Xinyi Yang, Jiaxuan Gao, Jiayu Chen, Yunfei Li, Jijia Liu, Yunfei Xiang, Ruixin Huang, Huazhong Yang, Yi Wu, Yu Wang
Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration. CoRR (2023)
Xuefei Ning, Yin Zheng, Zixuan Zhou, Tianchen Zhao, Huazhong Yang, Yu Wang
A Generic Graph-Based Neural Architecture Encoding Scheme With Multifaceted Information. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han
TorchSparse++: Efficient Point Cloud Engine. CVPR Workshops (2023)
Enshu Liu, Xuefei Ning, Huazhong Yang, Yu Wang
A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models. CoRR (2023)
Yu Wang, Fengjuan Gao, Linzhang Wang, Tingting Yu, Ke Wang, Jianhua Zhao, Xuandong Li
Automatic Detection, Validation and Repair of Race Conditions in Interrupt-Driven Embedded Software. CoRR (2023)
Zelai Xu, Yancheng Liang, Chao Yu, Yu Wang, Yi Wu
Fictitious Cross-Play: Learning Global Nash Equilibrium in Mixed Cooperative-Competitive Games. CoRR (2023)
Zhenhua Zhu, Hanbo Sun, Tongxin Xie, Yu Zhu, Guohao Dai, Lixue Xia, Dimin Niu, Xiaoming Chen, Xiaobo Sharon Hu, Yu Cao, Yuan Xie, Huazhong Yang, Yu Wang
MNSIM 2.0: A Behavior-Level Modeling Tool for Processing-In-Memory Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (11) (2023)
Wenjun Tang, Mingyen Lee, Juejian Wu, Yixin Xu, Yao Yu, Yongpan Liu, Kai Ni, Yu Wang, Huazhong Yang, Vijaykrishnan Narayanan, Xueqing Li
FeFET-Based Logic-in-Memory Supporting SA-Free Write-Back and Fully Dynamic Access With Reduced Bitline Charging Activity and Recycled Bitline Charge. IEEE Trans. Circuits Syst. I Regul. Pap. 70 (6) (2023)
Tianyu Fu, Chiyue Wei, Zhenhua Zhu, Shang Yang, Zhongming Yu, Guohao Dai, Huazhong Yang, Yu Wang
CLAP: Locality Aware and Parallel Triangle Counting with Content Addressable Memory. DATE (2023)
Zelai Xu, Chao Yu, Fei Fang, Yu Wang, Yi Wu
Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game. CoRR (2023)
Xiangsheng Shi, Xuefei Ning, Lidong Guo, Tianchen Zhao, Enshu Liu, Yi Cai, Yuhan Dong, Huazhong Yang, Yu Wang
Memory-Oriented Structural Pruning for Efficient Image Restoration. AAAI (2023)
Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection. CoRR (2023)
Xinyi Yang, Shiyu Huang, Yiwen Sun, Yuxiang Yang, Chao Yu, Wei-Wei Tu, Huazhong Yang, Yu Wang
Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation. AAMAS (2023)
Suquan Zhang, Jincheng Yu, Yuanfan Xu, Yu Wang
UAV Swarm Planning accelerator on FPGA with low latency and fixed-point L-BFGS Quasi-Newton solver. ICFPT (2023)
Xinhao Yang, Tianyu Fu, Guohao Dai, Shulin Zeng, Kai Zhong, Ke Hong, Yu Wang
An Efficient Accelerator for Point-based and Voxel-based Point Cloud Neural Networks. DAC (2023)
Xinyi Yang, Yuxiang Yang, Chao Yu, Jiayu Chen, Jingchen Yu, Haibing Ren, Huazhong Yang, Yu Wang
Active Neural Topological Mapping for Multi-Agent Exploration. CoRR (2023)
Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han
TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs. CoRR (2023)
Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang
Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS "Cold-Start". AAAI (2023)
Yan Zhuang, Jiang Yan, Jing Zhang, Yu Wang, Fei Qiao, Jiangwei Zhang, Qi Wei, Qingpeng Zhu, Wenxiu Sun, Ge Shi
A Three-Step Multi-Resolution Time-to-Digital Converter. ISCAS (2023)
Ke Hong, Zhongming Yu, Guohao Dai, Xinhao Yang, Yaoxiu Lian, Zehao Liu, Ningyi Xu, Yuhan Dong, Yu Wang
Exploiting Hardware Utilization and Adaptive Dataflow for Efficient Sparse Convolution in 3D Point Clouds. MLSys (2023)
Zhongming Yu, Guohao Dai, Shang Yang, Genghan Zhang, Hengrui Zhang, Feiwen Zhu, June Yang, Jishen Zhao, Yu Wang
HyperGef: A Framework Enabling Efficient Fusion for Hypergraph Neural Network on GPUs. MLSys (2023)
Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han
TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs. MICRO (2023)
Zhenhua Zhu, Jun Liu, Guohao Dai, Shulin Zeng, Bing Li, Huazhong Yang, Yu Wang
Processing-In-Hierarchical-Memory Architecture for Billion-Scale Approximate Nearest Neighbor Search. DAC (2023)
Xinyi Yang, Xinting Yang, Chao Yu, Jiayu Chen, Huazhong Yang, Yu Wang
MASP: Scalable GNN-based Planning for Multi-Agent Navigation. CoRR (2023)
Jijia Liu, Chao Yu, Jiaxuan Gao, Yuqing Xie, Qingmin Liao, Yi Wu, Yu Wang
LLM-Powered Hierarchical Language Agent for Real-time Human-AI Coordination. CoRR (2023)
Yu Zhu, Zhenhua Zhu, Guohao Dai, Fengbin Tu, Hanbo Sun, Kwang-Ting Cheng, Huazhong Yang, Yu Wang
PIM-HLS: An Automatic Hardware Generation Tool for Heterogeneous Processing-In-Memory-based Neural Network Accelerators. DAC (2023)
Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Zhongming Yu, Hengrui Zhang, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Yuxiao Dong, Yang Yang, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang
CogDL: A Comprehensive Library for Graph Deep Learning. WWW (2023)
Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models. CoRR (2023)
Jiayu Chen, Zelai Xu, Yunfei Li, Chao Yu, Jiaming Song, Huazhong Yang, Fei Fang, Yu Wang, Yi Wu
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning. CoRR (2023)
Xuefei Ning, Zinan Lin, Zixuan Zhou, Huazhong Yang, Yu Wang
Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding. CoRR (2023)
Jingbo Hu, Guohao Dai, Liuzheng Wang, Liyang Lai, Yu Huang, Huazhong Yang, Yu Wang
Adaptive Multidimensional Parallel Fault Simulation Framework on Heterogeneous System. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (6) (2023)
Hanbo Sun, Zhenhua Zhu, Chenyu Wang, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang
Gibbon: An Efficient Co-Exploration Framework of NN Model and Processing-In-Memory Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (11) (2023)
Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection. ICCV (2023)
Genghan Zhang, Yuetong Zhao, Yanting Tao, Zhongming Yu, Guohao Dai, Sitao Huang, Yuan Wen, Pavlos Petoumenos, Yu Wang
Sgap: towards efficient sparse tensor algebra compilation for GPU. CCF Trans. High Perform. Comput. 5 (2) (2023)
Zixuan Zhou, Xuefei Ning, Yi Cai, Jiashu Han, Yiping Deng, Yuhan Dong, Huazhong Yang, Yu Wang
CLOSE: Curriculum Learning On the Sharing Extent Towards Better One-shot NAS. CoRR (2022)
Ranran Huang, Yu Wang, Huazhong Yang
Cross-layer Attention Network for Fine-grained Visual Categorization. CoRR (2022)
Tianchen Zhao, Niansong Zhang, Xuefei Ning, He Wang, Li Yi, Yu Wang
CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance. CVPR (2022)
Jun Liu, Zhenhua Zhu, Jingbo Hu, Hanbo Sun, Li Liu, Lingzhi Liu, Guohao Dai, Huazhong Yang, Yu Wang
Optimizing Graph-based Approximate Nearest Neighbor Search: Stronger and Smarter. MDM (2022)
Guohao Dai, Zhenhua Zhu, Tianyu Fu, Chiyue Wei, Bangyan Wang, Xiangyu Li, Yuan Xie, Huazhong Yang, Yu Wang
DIMMining: pruning-efficient and parallel graph mining on near-memory-computing. ISCA (2022)
Yu Wang, Shulin Zeng, Kaiyuan Guo, Xuefei Ning, Yali Zhao, Zhongyuan Qiu, Changcheng Tang, Shuang Liang, Huazhong Yang
Efficient Autonomous Driving System Design: From Software to Hardware. ISVLSI (2022)
Yu Zhu, Zhenhua Zhu, Guohao Dai, Kai Zhong, Huazhong Yang, Yu Wang
Exploiting Parallelism with Vertex-Clustering in Processing-In-Memory-based GCN Accelerators. DATE (2022)
Zhen Gao, Han Zhang, Yi Yao, Jiajun Xiao, Shulin Zeng, Guangjun Ge, Yu Wang, Anees Ullah, Pedro Reviriego
Soft Error Tolerant Convolutional Neural Networks on FPGAs With Ensemble Learning. IEEE Trans. Very Large Scale Integr. Syst. 30 (3) (2022)
Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang
Heuristic adaptability to input dynamics for SpMM on CPUs. DAC (2022)
Huaxiu Yao, Yu Wang, Sai Li, Linjun Zhang, Weixin Liang, James Zou, Chelsea Finn
Improving Out-of-Distribution Robustness via Selective Augmentation. CoRR (2022)
Hanbo Sun, Chenyu Wang, Zhenhua Zhu, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang
Gibbon: Efficient Co-Exploration of NN Model and Processing-In-Memory Architecture. DATE (2022)
Tianchen Zhao, Niansong Zhang, Xuefei Ning, He Wang, Li Yi, Yu Wang
CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance. CoRR (2022)
Huaxiu Yao, Yu Wang, Sai Li, Linjun Zhang, Weixin Liang, James Zou, Chelsea Finn
Improving Out-of-Distribution Robustness via Selective Augmentation. ICML (2022)
Hongyu Song, Jincheng Yu, Jiantao Qiu, Zhixiao Sun, Kuijun Lang, Qing Luo, Yuan Shen, Yu Wang
Multi-UAV Coverage Planning with Limited Endurance in Disaster Environment. CoRR (2022)
Minxue Tang, Xuefei Ning, Yitu Wang, Jingwei Sun, Yu Wang, Hai Helen Li, Yiran Chen
FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning. CVPR (2022)
Yunfei Xiang, Jiantao Qiu, Jincheng Yu, Jiahao Tang, Guangjun Ge, Yu Wang, Huazhong Yang
A Mobile Robot Experiment System with Lightweight Simulator Generator for Deep Reinforcement Learning Algorithm. ROBIO (2022)
Shulin Zeng, Guohao Dai, Hanbo Sun, Jun Liu, Shiyao Li, Guangjun Ge, Kai Zhong, Kaiyuan Guo, Yu Wang, Huazhong Yang
A Unified FPGA Virtualization Framework for General-Purpose Deep Neural Networks in the Cloud. ACM Trans. Reconfigurable Technol. Syst. 15 (3) (2022)
Hongyu Song, Jincheng Yu, Jiantao Qiu, Zhixiao Sun, Kuijun Lang, Qing Luo, Yuan Shen, Yu Wang
Multi-UAV Disaster Environment Coverage Planning with Limited-Endurance. ICRA (2022)
Zhaoliang Zhang, Jincheng Yu, Jiahao Tang, Yuanfan Xu, Yu Wang
MR-TopoMap: Multi-Robot Exploration Based on Topological Map in Communication Restricted Environment. IEEE Robotics Autom. Lett. 7 (4) (2022)
Zihan Lin, Jincheng Yu, Lipu Zhou, Xudong Zhang, Jian Wang, Yu Wang
Point Cloud Change Detection With Stereo V-SLAM: Dataset, Metrics and Baseline. CoRR (2022)
Hengrui Zhang, Zhongming Yu, Guohao Dai, Guyue Huang, Yufei Ding, Yuan Xie, Yu Wang
Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective. MLSys (2022)
Zixuan Zhou, Xuefei Ning, Yi Cai, Jiashu Han, Yiping Deng, Yuhan Dong, Huazhong Yang, Yu Wang
CLOSE: Curriculum Learning on the Sharing Extent Towards Better One-Shot NAS. ECCV (20) (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yu Wang