- Qiankun Sun, Weifeng Liu, Chenglin Wen:
Multi-Spill Surface Target Tracking Based on Oil Particle-Random Point Pattern. ICCAIS 2023: 698-703 - Chen Nie, Guoyang Chen, Weifeng Zhang, Zhezhi He:
GIM: Versatile GNN Acceleration with Reconfigurable Processing-in-Memory. ICCD 2023: 499-506 - Yiwen Huang, Yixuan Sun, Chenghang Lai, Qing Xu, Xiaomei Wang, Xuli Shen, Weifeng Ge:
Weakly Supervised Learning of Semantic Correspondence through Cascaded Online Correspondence Refinement. ICCV 2023: 16208-16217 - Weifeng Lin, Ziheng Wu, Jiayu Chen, Jun Huang, Lianwen Jin:
Scale-Aware Modulation Meet Transformer. ICCV 2023: 5992-6003 - Weifeng Chen, Hui Ding, Zhifen He, Bo Li, Bin Liu, Kang Wang:
Element-Wise Layer Normalization for Continuous Signal Representation. ICDIP 2023: 59:1-59:6 - Hui Ding, Weifeng Chen, Zhifen He, Bo Li, Bin Liu, Kang Wang:
MixerSR: A New Feature Extraction Paradigm for Single Image Super-Resolution. ICDIP 2023: 12:1-12:7 - Sribala Vidyadhari Chinta, Karen Fernandes, Ningxi Cheng, Jordan Fernandez, Shamim Yazdani, Zhipeng Yin, Zichong Wang, Xuyu Wang, Weifeng Xu, Jun Liu, Chong Siang Yew, Puqing Jiang, Wenbin Zhang:
Optimization and Improvement of Fake News Detection using Voting Technique for Societal Benefit. ICDM (Workshops) 2023: 1565-1574 - Brian Etter, James Lee Hu, Mohammadreza Ebrahimi, Weifeng Li, Xin Li, Hsinchun Chen:
Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning Approach. ICDM 2023: 101-109 - Brian Etter, James Lee Hu, Mohammadreza Ebrahimi, Weifeng Li, Xin Li, Hsinchun Chen:
Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning Approach. ICDM (Workshops) 2023: 1313-1321 - Jigang Wang, Aimin Yang, Dong Zhou, Nankai Lin, Zepeng Wang, Weifeng Huang, Boyu Chen:
Simplifying Aspect-Sentiment Quadruple Prediction with Cartesian Product Operation. ICIC (4) 2023: 707-719 - Yiping Chen, Shuqi Yang, Baodi Liu, Weifeng Liu:
Attribute Space Analysis for Image Editing. ICIG (2) 2023: 103-114 - Yingjie Wang, Hong Chen, Weifeng Liu, Fengxiang He, Tieliang Gong, Youcheng Fu, Dacheng Tao:
Tilted Sparse Additive Models. ICML 2023: 35579-35604 - Helin Cheng, Wenxuan Li, Yuechen Lu, Weifeng Liu:
HASpGEMM: Heterogeneity-Aware Sparse General Matrix-Matrix Multiplication on Modern Asymmetric Multicore Processors. ICPP 2023: 807-817 - Chen Li, Xinghao Yang, Baodi Liu, Weifeng Liu, Honglong Chen:
Annealing Genetic-based Preposition Substitution for Text Rubbish Example Generation. IJCAI 2023: 5122-5130 - Huayi Qi, Minghui Xu, Xiuzhen Cheng, Weifeng Lyu:
Latency-First Smart Contract: Overclock the Blockchain for a while. INFOCOM 2023: 1-10 - Cheng Zhou, Wentao Gao, Weifeng Lu, Yanbo Long, Sicheng Yang, Longfei Zhao, Bidan Huang, Yu Zheng:
A Unified Trajectory Generation Algorithm for Dynamic Dexterous Manipulation. IROS 2023: 8712-8719 - Xu Hong, Bin Wang, Yihao Cheng, Weifeng Zhang:
Silicon-Based On-Chip Phase-Coded Linearly-Chirped Microwave Waveform Generation. OFC 2023: 1-3 - Haoyan Liu, Xu Hong, Yihao Cheng, Bin Wang, Weifeng Zhang:
High-Resolution Frequency Identification of Wideband Microwave Signal Using a Hybrid Optical Filter. OFC 2023: 1-3 - Zhenting Guo, Meng Yan, Hongyan Li, Zhezhe Chen, Weifeng Sun:
Just-In-Time Method Name Updating With Heuristics and Neural Model. QRS 2023: 707-718 - Huanzhou Zhu, Bo Zhao, Gang Chen, Weifeng Chen, Yijie Chen, Liang Shi, Yaodong Yang, Peter R. Pietzuch, Lei Chen:
MSRL: Distributed Reinforcement Learning with Dataflow Fragments. USENIX Annual Technical Conference 2023: 977-993 - Rubing Huang, Haibo Chen, Weifeng Sun, Dave Towey:
Extended Abstract of Candidate Test Set Reduction for Adaptive Random Testing: An Overheads Reduction Technique. SANER 2023: 853-854 - Xiuzhen Cheng, Minghui Xu, Runyu Pan, Dongxiao Yu, Chenxu Wang, Xue Xiao, Weifeng Lyu:
Meta Computing. CoRR abs/2302.09501 (2023) - Hao Wang, Chen Li, Jinzhe Jiang, Xin Zhang, Yaqian Zhao, Weifeng Gong:
Distribution-restrained Softmax Loss for the Model Robustness. CoRR abs/2303.12363 (2023) - Weifeng Jiang, Qianren Mao, Jianxin Li, Chenghua Lin, Weiyi Yang, Ting Deng, Zheng Wang:
DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining. CoRR abs/2305.12074 (2023) - Weifeng Chen, Jie Wu, Pan Xie, Hefeng Wu, Jiashi Li, Xin Xia, Xuefeng Xiao, Liang Lin:
Control-A-Video: Controllable Text-to-Video Generation with Diffusion Models. CoRR abs/2305.13840 (2023) - Fang Zhang, Xing Zhu, Rui Chao, Cupjin Huang, Linghang Kong, Guoyang Chen, Dawei Ding, Haishan Feng, Yihuai Gao, Xiaotong Ni, Liwei Qiu, Zhe Wei, Yueming Yang, Yang Zhao, Yaoyun Shi, Weifeng Zhang, Peng Zhou, Jianxin Chen:
A Classical Architecture For Digital Quantum Computers. CoRR abs/2305.14304 (2023) - Rubing Huang, Chenhui Cui, Junlong Lian, Dave Towey, Weifeng Sun, Haibo Chen:
Toward Cost-effective Adaptive Random Testing: An Approximate Nearest Neighbor Approach. CoRR abs/2305.17496 (2023) - Bo-Yuan Sun, Yuqi Yang, Weifeng Yuan, Le Zhang, Ming-Ming Cheng, Qibin Hou:
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation. CoRR abs/2306.04300 (2023) - Dengfeng Wang, Liukai Xu, Songyuan Liu, Zhi Li, Yiming Chen, Weifeng He, Xueqing Li, Yanan Sun:
TL-nvSRAM-CIM: Ultra-High-Density Three-Level ReRAM-Assisted Computing-in-nvSRAM with DC-Power Free Restore and Ternary MAC Operations. CoRR abs/2307.02717 (2023)