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- Peking UniversityCN326 papers
- Institute of High Energy PhysicsCN193 papers
- Joint Institute for Nuclear ResearchRU187 papers
- Tsinghua UniversityCN187 papers
- Carnegie Mellon UniversityUS186 papers
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di FrascatiIT183 papers
- Indian Institute of Technology MadrasIN180 papers
- University of MinnesotaUS163 papers
- University of Science and Technology of ChinaCN156 papers
- Chinese Academy of SciencesCN150 papers
- University of Chinese Academy of SciencesCN149 papers
- Seoul National UniversityKR146 papers
201 papers · 1 filter
Measurements of the Branching Fractions , and
Belle Collaboration, Y. Li, Y. B. Li +173
Using the data sample of 711 fb of on-resonance data taken by the Belle detector at the KEKB asymmetric-energy electron-positron collider, we present the first measu…
Towards Unified INT8 Training for Convolutional Neural Network
Feng Zhu, Ruihao Gong, Fengwei Yu +5
Recently low-bit (e.g., 8-bit) network quantization has been extensively studied to accelerate the inference. Besides inference, low-bit training with quantized gradients can furth…
An Uncertainty- and Collusion-Proof Voting Consensus Mechanism in Blockchain
Shengling Wang, Xidi Qu, Qin Hu +1
Though voting-based consensus algorithms in Blockchain outperform proof-based ones in energy- and transaction-efficiency, they are prone to incur wrong elections and bribery electi…
Backtracking activation impacts the criticality of excitable networks
Renquan Zhang, Guoyi Quan, Jiannan Wang +1
Networks of excitable elements are widely used to model real-world biological and social systems. The dynamic range of an excitable network quantifies the range of stimulus intensi…
A Multimodal, Enveloping Soft Gripper: Shape Conformation, Bioinspired Adhesion, and Expansion-Driven Suction
Yufei Hao, Shantonu Biswas, Elliot Hawkes +4
A key challenge in robotics is to create efficient methods for grasping objects with diverse shapes, sizes, poses, and properties. Grasping with hand-like end effectors often requi…
Graph Markov Network for Traffic Forecasting with Missing Data
Zhiyong Cui, Longfei Lin, Ziyuan Pu +1
Traffic forecasting is a classical task for traffic management and it plays an important role in intelligent transportation systems. However, since traffic data are mostly collecte…