b'Hao Sun'

research

∙ 09/18/2023

FedLALR: Client-Specific Adaptive Learning Rates Achieve Linear Speedup for Non-IID Data

Federated learning is an emerging distributed machine learning method, e...

0 Hao Sun, et al. ∙

research

∙ 09/13/2023

Offline Prompt Evaluation and Optimization with Inverse Reinforcement Learning

The recent advances in the development of Large Language Models (LLMs) l...

0 Hao Sun, et al. ∙

research

∙ 08/07/2023

The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Transformers

Federated learning (FL) addresses data privacy concerns by enabling coll...

0 Yulan Gao, et al. ∙

research

∙ 07/30/2023

Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup

Adaptive optimization has achieved notable success for distributed learn...

0 Yan Sun, et al. ∙

research

∙ 06/26/2023

Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference

Deploying pre-trained transformer models like BERT on downstream tasks i...

0 Junyan Li, et al. ∙

research

∙ 05/24/2023

BeamSearchQA: Large Language Models are Strong Zero-Shot QA Solver

Open-domain question answering is a crucial task that often requires acc...

0 Hao Sun, et al. ∙

research

∙ 05/23/2023

To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion

Embedding models have shown great power in knowledge graph completion (K...

0 Rui Li, et al. ∙

research

∙ 05/13/2023

Mask to reconstruct: Cooperative Semantics Completion for Video-text Retrieval

Recently, masked video modeling has been widely explored and significant...

0 Han Fang, et al. ∙

research

∙ 05/06/2023

LibAM: An Area Matching Framework for Detecting Third-party Libraries in Binaries

Third-party libraries (TPLs) are extensively utilized by developers to e...

0 Siyuan Li, et al. ∙

research

∙ 04/24/2023

Attention-guided Multi-step Fusion: A Hierarchical Fusion Network for Multimodal Recommendation

The main idea of multimodal recommendation is the rational utilization o...

0 Yan Zhou, et al. ∙

research

∙ 04/20/2023

Safety Assessment of Chinese Large Language Models

With the rapid popularity of large language models such as ChatGPT and G...

0 Hao Sun, et al. ∙

research

∙ 03/17/2023

IRGen: Generative Modeling for Image Retrieval

While generative modeling has been ubiquitous in natural language proces...

0 Yidan Zhang, et al. ∙

research

∙ 03/15/2023

UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation

Large Language Models (LLMs) are popular for their impressive abilities,...

0 Daixuan Cheng, et al. ∙

research

∙ 03/01/2023

AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks

Sharpness aware minimization (SAM) optimizer has been extensively explor...

0 Hao Sun, et al. ∙

research

∙ 02/24/2023

Neural Laplace Control for Continuous-time Delayed Systems

Many real-world offline reinforcement learning (RL) problems involve con...

0 Samuel Holt, et al. ∙

research

∙ 02/24/2023

Membership Inference Attacks against Synthetic Data through Overfitting Detection

Data is the foundation of most science. Unfortunately, sharing data can ...

3 Boris van Breugel, et al. ∙

research

∙ 02/18/2023

Recent Advances towards Safe, Responsible, and Moral Dialogue Systems: A Survey

With the development of artificial intelligence, dialogue systems have b...

0 Jiawen Deng, et al. ∙

research

∙ 02/04/2023

Laplacian ICP for Progressive Registration of 3D Human Head Meshes

We present a progressive 3D registration framework that is a highly-effi...

0 Nick Pears, et al. ∙

research

∙ 01/30/2023

Accurate Gaze Estimation using an Active-gaze Morphable Model

Rather than regressing gaze direction directly from images, we show that...

0 Hao Sun, et al. ∙

research

∙ 12/19/2022

PAL: Persona-Augmented Emotional Support Conversation Generation

Due to the lack of human resources for mental health support, there is a...

0 Jiale Cheng, et al. ∙

research

∙ 12/10/2022

LEAD: Liberal Feature-based Distillation for Dense Retrieval

Knowledge distillation is often used to transfer knowledge from a strong...

0 Hao Sun, et al. ∙

research

∙ 12/09/2022

SemanticBEVFusion: Rethink LiDAR-Camera Fusion in Unified Bird's-Eye View Representation for 3D Object Detection

LiDAR and camera are two essential sensors for 3D object detection in au...

0 Qi Jiang, et al. ∙

research

∙ 12/06/2022

An Unsupervised Machine Learning Approach for Ground Motion Clustering and Selection

Clustering analysis of sequence data continues to address many applicati...

0 R. Bailey Bond, et al. ∙

research

∙ 12/04/2022

Constructing Highly Inductive Contexts for Dialogue Safety through Controllable Reverse Generation

Large pretrained language models can easily produce toxic or biased cont...

0 Zhexin Zhang, et al. ∙

research

∙ 11/16/2022

Stare at What You See: Masked Image Modeling without Reconstruction

Masked Autoencoders (MAE) have been prevailing paradigms for large-scale...

0 Hongwei Xue, et al. ∙

research

∙ 10/14/2022

Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty

Nonlinear dynamics are ubiquitous in science and engineering application...

0 Luning Sun, et al. ∙

research

∙ 07/28/2022

CubeMLP: An MLP-based Model for Multimodal Sentiment Analysis and Depression Estimation

Multimodal sentiment analysis and depression estimation are two importan...

7 Hao Sun, et al. ∙

research

∙ 07/16/2022

A Survey on Collaborative DNN Inference for Edge Intelligence

With the vigorous development of artificial intelligence (AI), the intel...

0 Weiqing Ren, et al. ∙

research

∙ 07/11/2022

DAUX: a Density-based Approach for Uncertainty eXplanations

Uncertainty quantification (UQ) is essential for creating trustworthy ma...

18 Hao Sun, et al. ∙

research

∙ 06/06/2022

A Neural Corpus Indexer for Document Retrieval

Current state-of-the-art document retrieval solutions mainly follow an i...

1 Yujing Wang, et al. ∙

research

∙ 05/09/2022

Predicting parametric spatiotemporal dynamics by multi-resolution PDE structure-preserved deep learning

Although recent advances in deep learning (DL) have shown a great promis...

59 Xin-Yang Liu, et al. ∙

research

∙ 04/01/2022

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings

Vector quantization (VQ) based ANN indexes, such as Inverted File System...

8 Shitao Xiao, et al. ∙

research

∙ 03/17/2022

EVA2.0: Investigating Open-Domain Chinese Dialogue Systems with Large-Scale Pre-Training

Large-scale pre-training has shown remarkable performance in building op...

0 Yuxian Gu, et al. ∙

research

∙ 02/16/2022

HousE: Knowledge Graph Embedding with Householder Parameterization

The effectiveness of knowledge graph embedding (KGE) largely depends on ...

0 Rui Li, et al. ∙

research

∙ 02/13/2022

Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search

Embedding based retrieval (EBR) is a fundamental building block in many ...

7 Jianjin Zhang, et al. ∙

research

∙ 01/16/2022

COLD: A Benchmark for Chinese Offensive Language Detection

Offensive language detection and prevention becomes increasing critical ...

0 Jiawen Deng, et al. ∙

research

∙ 01/14/2022

Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval

Ad-hoc search calls for the selection of appropriate answers from a mass...

8 Shitao Xiao, et al. ∙

research

∙ 01/02/2022

Toward Causal-Aware RL: State-Wise Action-Refined Temporal Difference

Although it is well known that exploration plays a key role in Reinforce...

0 Hao Sun, et al. ∙

research

∙ 11/16/2021

Hierarchical Topometric Representation of 3D Robotic Maps

In this paper, we propose a method for generating a hierarchical, volume...

0 Zhenpeng He, et al. ∙

research

∙ 10/25/2021

Gophormer: Ego-Graph Transformer for Node Classification

Transformers have achieved remarkable performance in a myriad of fields ...

0 Jianan Zhao, et al. ∙

research

∙ 10/16/2021

On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark

Dialogue safety problems severely limit the real-world deployment of neu...

0 Hao Sun, et al. ∙

research

∙ 08/10/2021

Localized Graph Collaborative Filtering

User-item interactions in recommendations can be naturally de-noted as a...

12 Yiqi Wang, et al. ∙

research

∙ 08/03/2021

EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training

Although pre-trained language models have remarkably enhanced the genera...

0 Hao Zhou, et al. ∙

research

∙ 08/03/2021

Impact Mitigation for Dynamic Legged Robots with Steel Wire Transmission Using Nonlinear Active Compliance Control

Impact mitigation is crucial to the stable locomotion of legged robots, ...

0 Junjie Yang, et al. ∙

research

∙ 07/10/2021

Hitting Weighted Even Cycles in Planar Graphs

A classical branch of graph algorithms is graph transversals, where one ...

0 Alexander Göke, et al. ∙

research

∙ 07/09/2021

Safe Exploration by Solving Early Terminated MDP

Safe exploration is crucial for the real-world application of reinforcem...

0 Hao Sun, et al. ∙

research

∙ 06/03/2021

PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health Support

Great research interests have been attracted to devise AI services that ...

0 Hao Sun, et al. ∙

research

∙ 04/25/2021

AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search

Sponsored search ads appear next to search results when people look for ...

0 Chaozhuo Li, et al. ∙

research

∙ 03/31/2021

Iteration complexity analysis of a partial LQP-based alternating direction method of multipliers

In this paper, we consider a prototypical convex optimization problem wi...

0 Jianchao Bai, et al. ∙

research

∙ 03/30/2021

Convergence on a symmetric accelerated stochastic ADMM with larger stepsizes

In this paper, we develop a symmetric accelerated stochastic Alternating...

0 Jianchao Bai, et al. ∙

Hao Sun

Featured Co-authors