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Articles by Sai Qian Zhang

DiTAS: Quantizing Diffusion Transformers via Enhanced Activation Smoothing
3 days ago by Zhenyuan Dong and Sai Qian Zhang
Computer Vision and Pattern Recognition
Rome was Not Built in a Single Step: Hierarchical Prompting for LLM-based Chip Design
6 days ago by Andre Nakkab and others
Hardware Architecture, Artificial Intelligence
Hyft: A Reconfigurable Softmax Accelerator with Hybrid Numeric Format for both Training and Inference
4 September 2024 by Tianhua Xia and Sai Qian Zhang
Hardware Architecture
T3M: Text Guided 3D Human Motion Synthesis from Speech
23 August 2024 by Wenshuo Peng and others
Computer Vision and Pattern Recognition
Search for a sub-eV sterile neutrino using Daya Bay's full dataset
20 August 2024 by F. An and others
High Energy Physics
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
1
12 July 2024 by Zeyu Han and others at LogoArizona State University
Machine Learning
Measurement of Electron Antineutrino Oscillation Amplitude and Frequency via Neutron Capture on Hydrogen at Daya Bay
3 June 2024 by Daya Bay Collaboration and others at LogoBrookhaven National Laboratory
High Energy Physics
HQ-DiT: Efficient Diffusion Transformer with FP4 Hybrid Quantization
31 May 2024 by Wenxuan Liu and Sai Qian Zhang
Computer Vision and Pattern Recognition, Artificial Intelligence
DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model
8 April 2024 by Chao Gao and Sai Qian Zhang
Machine Learning, Artificial Intelligence
Charged-current non-standard neutrino interactions at Daya Bay
20 March 2024 by Daya Bay Collaboration and others
High Energy Physics
First measurement of the yield of ^8He isotopes produced in liquid scintillator by cosmic-ray muons at Daya Bay
8 February 2024 by Daya Bay Collaboration and others at LogoBrookhaven National Laboratory
Nuclear Experiment, High Energy Physics
CAMEL: Co-Designing AI Models and Embedded DRAMs for Efficient On-Device Learning
22 December 2023 by Sai Qian Zhang and others
Hardware Architecture, Machine Learning
BIM: Block-Wise Self-Supervised Learning with Masked Image Modeling
28 November 2023 by Yixuan Luo and others
Computer Vision and Pattern Recognition, Machine Learning
Possible neutron halo in triaxial nucleus 42Al
12 December 2022 by K. Zhang and others
Nuclear Theory, Nuclear Experiment
Precision measurement of reactor antineutrino oscillation at kilometer-scale baselines by Daya Bay
28 November 2022 by Daya Bay Collaboration and others at LogoBrookhaven National Laboratory
High Energy Physics
Optimized Dirac Woods-Saxon basis for covariant density functional theory
7 August 2022 by K. Zhang and others
Nuclear Theory
SphereFed: Hyperspherical Federated Learning
19 July 2022 by Xin Dong and others
Machine Learning, Artificial Intelligence
Joint Determination of Reactor Antineutrino Spectra from ^{235}U and ^{239}Pu Fission by Daya Bay and PROSPECT
23 February 2022 by Daya Bay Collaboration and others
Nuclear Experiment, High Energy Physics
A Multi-agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning
9 January 2022 by Sai Qian Zhang and others
Machine Learning, Artificial Intelligence
Multidimensional King-plot analysis for accurate extraction of Cd nuclear charge radii: a challenge for nuclear structure theory
8 November 2021 by J. Han and others
Atomic Physics
FAST: DNN Training Under Variable Precision Block Floating Point with Stochastic Rounding
28 October 2021 by Sai Qian Zhang and others
Machine Learning, Hardware Architecture
Possible bound nuclei beyond the two-neutron drip line in the 50\leqslant Z \leqslant 70 region
1 September 2021 by Caicai Pan and others
Nuclear Theory
High-precision nuclear chronometer for the cosmos
13 August 2021 by X. Wu and others
Nuclear Theory, Cosmology and Nongalactic Astrophysics
Pseudo spin doublet bands and Gallagher Moszkowski doublet bands in ^{100}Y
3 March 2021 by E. Wang and others
Nuclear Experiment, Nuclear Theory
Succinct and Robust Multi-Agent Communication With Temporal Message Control
24 December 2020 by Sai Qian Zhang and others
Artificial Intelligence, Machine Learning
Term Revealing: Furthering Quantization at Run Time on Quantized DNNs
26 July 2020 by H. Kung and others
Computer Vision and Pattern Recognition, Machine Learning
Selection rules of electromagnetic transitions for chirality-parity violation in atomic nuclei
22 June 2020 by Ying Ying Wang and others
Nuclear Theory, Nuclear Experiment
On the Robustness of Cooperative Multi-Agent Reinforcement Learning
8 March 2020 by Jieyu Lin and others
Machine Learning, Cryptography and Security
Toroidal states in ^{28}Si with covariant density functional theory in 3D lattice space
22 January 2020 by Z. Ren and others
Nuclear Theory, Nuclear Experiment
RTN: Reparameterized Ternary Network
12 December 2019 by Yuhang Li and others
Machine Learning, Signal Processing
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