940 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Peking UniversityCN13 papers
- Tsinghua UniversityCN11 papers
- University of OxfordGB7 papers
- City University of Hong KongHK4 papers
- Shanghai Jiao Tong UniversityCN4 papers
- University of California, Santa BarbaraUS4 papers
- University of SurreyGB4 papers
- Chinese Academy of SciencesCN3 papers
- Fudan UniversityCN3 papers
- Amazon (United States)US2 papers
- Carnegie Mellon UniversityUS2 papers
- Chinese University of Hong KongHK2 papers
77 papers
Aligning Large Language Models with Human Feedback: Mathematical Foundations and Algorithm Design
Siliang Zeng, Luca Viano, Chenliang Li +6
This article provides an introduction to the mathematical foundations and algorithmic frameworks used to align Large Language Models (LLMs) with human intentions, preferences, and…
Accelerating Antimicrobial Peptide Discovery with Latent Structure
Danqing Wang, Zeyu Wen, Fei Ye +2
Antimicrobial peptides (AMPs) are promising therapeutic approaches against drug-resistant pathogens. Recently, deep generative models are used to discover new AMPs. However, previo…
Ontology-aware Learning and Evaluation for Audio Tagging
Haohe Liu, Qiuqiang Kong, Xubo Liu +3
This study defines a new evaluation metric for audio tagging tasks to overcome the limitation of the conventional mean average precision (mAP) metric, which treats different kinds…
Orbital Expansion Variational Quantum Eigensolver: Enabling Efficient Simulation of Molecules with Shallow Quantum Circuit
Yusen Wu, Zigeng Huang, Jinzhao Sun +3
In the noisy-intermediate-scale-quantum era, Variational Quantum Eigensolver (VQE) is a promising method to study ground state properties in quantum chemistry, materials science, a…
Personalized Dialogue Generation with Persona-Adaptive Attention
Qiushi Huang, Yu Zhang, Tom Ko +4
Persona-based dialogue systems aim to generate consistent responses based on historical context and predefined persona. Unlike conventional dialogue generation, the persona-based d…
Holistically-Attracted Wireframe Parsing: From Supervised to Self-Supervised Learning
Nan Xue, Tianfu Wu, Song Bai +4
This article presents Holistically-Attracted Wireframe Parsing (HAWP), a method for geometric analysis of 2D images containing wireframes formed by line segments and junctions. HAW…
Linker Code Size Optimization for Native Mobile Applications
Gai Liu, Umar Farooq, Chengyan Zhao +2
Modern mobile applications have grown rapidly in binary size, which restricts user growth and hinders updates for existing users. Thus, reducing the binary size is important for ap…
MAMO: Masked Multimodal Modeling for Fine-Grained Vision-Language Representation Learning
Zijia Zhao, Longteng Guo, Xingjian He +3
Multimodal representation learning has shown promising improvements on various vision-language tasks. Most existing methods excel at building global-level alignment between vision…
Ab initio Quantum Simulation of Strongly Correlated Materials with Quantum Embedding
Changsu Cao, Jinzhao Sun, Xiao Yuan +3
Quantum computing has shown great potential in various quantum chemical applications such as drug discovery, material design, and catalyst optimization. Although significant progre…
Contrastive Masked Autoencoders are Stronger Vision Learners
Zhicheng Huang, Xiaojie Jin, Chengze Lu +5
Masked image modeling (MIM) has achieved promising results on various vision tasks. However, the limited discriminability of learned representation manifests there is still plenty…
Quantum computing quantum Monte Carlo algorithm
Yukun Zhang, Yifei Huang, Jinzhao Sun +2
Quantum computing and quantum Monte Carlo (QMC) are respectively the state-of-the-art quantum and classical computing methods for understanding many-body quantum systems. Here, we…
Residue-based Label Protection Mechanisms in Vertical Logistic Regression
Juntao Tan, Lan Zhang, Yang Liu +2
Federated learning (FL) enables distributed participants to collaboratively learn a global model without revealing their private data to each other. Recently, vertical FL, where th…
VoiceFixer: A Unified Framework for High-Fidelity Speech Restoration
Haohe Liu, Xubo Liu, Qiuqiang Kong +5
Speech restoration aims to remove distortions in speech signals. Prior methods mainly focus on a single type of distortion, such as speech denoising or dereverberation. However, sp…
Towards the ground state of molecules via diffusion Monte Carlo on neural networks
Weiluo Ren, Weizhong Fu, Xiaojie Wu +1
Diffusion Monte Carlo (DMC) based on fixed-node approximation has enjoyed significant developments in the past decades and become one of the go-to methods when accurate ground stat…
i-Razor: A Differentiable Neural Input Razor for Feature Selection and Dimension Search in DNN-Based Recommender Systems
Yao Yao, Bin Liu, Haoxun He +4
Input features play a crucial role in DNN-based recommender systems with thousands of categorical and continuous fields from users, items, contexts, and interactions. Noisy feature…
Neural Vocoder is All You Need for Speech Super-resolution
Haohe Liu, Woosung Choi, Xubo Liu +3
Speech super-resolution (SR) is a task to increase speech sampling rate by generating high-frequency components. Existing speech SR methods are trained in constrained experimental…
E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning
Jiangjie Chen, Rui Xu, Ziquan Fu +7
The ability to recognize analogies is fundamental to human cognition. Existing benchmarks to test word analogy do not reveal the underneath process of analogical reasoning of neura…
Ab initio calculation of real solids via neural network ansatz
Xiang Li, Zhe Li, Ji Chen
Neural networks have been applied to tackle many-body electron correlations for small molecules and physical models in recent years. Here we propose a new architecture that extends…
Efficient quantum imaginary time evolution by drifting real time evolution: an approach with low gate and measurement complexity
Yifei Huang, Yuguo Shao, Weiluo Ren +2
Quantum imaginary time evolution (QITE) is one of the promising candidates for finding eigenvalues and eigenstates of a Hamiltonian. However, the original QITE proposal [Nat. Phys.…
Aryl: An Elastic Cluster Scheduler for Deep Learning
Jiamin Li, Hong Xu, Yibo Zhu +3
Companies build separate training and inference GPU clusters for deep learning, and use separate schedulers to manage them. This leads to problems for both training and inference:…
BiFSMN: Binary Neural Network for Keyword Spotting
Haotong Qin, Xudong Ma, Yifu Ding +6
The deep neural networks, such as the Deep-FSMN, have been widely studied for keyword spotting (KWS) applications. However, computational resources for these networks are significa…
Unsupervised Editing for Counterfactual Stories
Jiangjie Chen, Chun Gan, Sijie Cheng +3
Creating what-if stories requires reasoning about prior statements and possible outcomes of the changed conditions. One can easily generate coherent endings under new conditions, b…
KNAS: Green Neural Architecture Search
Jingjing Xu, Liang Zhao, Junyang Lin +3
Many existing neural architecture search (NAS) solutions rely on downstream training for architecture evaluation, which takes enormous computations. Considering that these computat…
Toward Practical Quantum Embedding Simulation of Realistic Chemical Systems on Near-term Quantum Computers
Weitang Li, Zigeng Huang, Changsu Cao +6
Quantum computing has recently exhibited great potentials in predicting chemical properties for various applications in drug discovery, material design, and catalyst optimization.…