b'Hao Cheng'

research

∙ 09/21/2023

AceGPT, Localizing Large Language Models in Arabic

This paper explores the imperative need and methodology for developing a...

0 Huang Huang, et al. ∙

research

∙ 08/10/2023

Tracing the Influence of Predecessors on Trajectory Prediction

In real-world traffic scenarios, agents such as pedestrians and car driv...

0 Mengmeng Liu, et al. ∙

research

∙ 08/09/2023

An End-to-End Framework of Road User Detection, Tracking, and Prediction from Monocular Images

Perception that involves multi-object detection and tracking, and trajec...

0 Hao Cheng, et al. ∙

research

∙ 07/31/2023

LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels

In real-world applications, perfect labels are rarely available, making ...

0 Mingcai Chen, et al. ∙

research

∙ 07/17/2023

A Novel Multi-Task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images

Skin diseases are among the most prevalent health issues, and accurate c...

0 Yan-Jie Zhou, et al. ∙

research

∙ 07/13/2023

DIALGEN: Collaborative Human-LM Generated Dialogues for Improved Understanding of Human-Human Conversations

Applications that could benefit from automatic understanding of human-hu...

0 Bo-Ru Lu, et al. ∙

research

∙ 06/29/2023

Spiking Denoising Diffusion Probabilistic Models

Spiking neural networks (SNNs) have ultra-low energy consumption and hig...

0 Jiahang Cao, et al. ∙

research

∙ 06/12/2023

Augmenting Language Models with Long-Term Memory

Existing large language models (LLMs) can only afford fix-sized inputs d...

0 Weizhi Wang, et al. ∙

research

∙ 06/07/2023

RGBlimp: Robotic Gliding Blimp – Design, Modeling, Development, and Aerodynamics Analysis

A miniature robotic blimp, as one type of lighter-than-air aerial vehicl...

0 Hao Cheng, et al. ∙

research

∙ 06/03/2023

DOS: Diverse Outlier Sampling for Out-of-Distribution Detection

Modern neural networks are known to give overconfident prediction for ou...

0 Wenyu Jiang, et al. ∙

research

∙ 05/31/2023

Lattice-Aided Extraction of Spread-Spectrum Hidden Data

This paper discusses the problem of extracting spread spectrum hidden da...

0 Fan Yang, et al. ∙

research

∙ 05/23/2023

Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding

Scientific literature understanding tasks have gained significant attent...

0 Yu Zhang, et al. ∙

research

∙ 05/04/2023

Chain-of-Skills: A Configurable Model for Open-domain Question Answering

The retrieval model is an indispensable component for real-world knowled...

0 Kaixin Ma, et al. ∙

research

∙ 04/28/2023

Improve Video Representation with Temporal Adversarial Augmentation

Recent works reveal that adversarial augmentation benefits the generaliz...

0 Jinhao Duan, et al. ∙

research

∙ 03/28/2023

Pre-training Transformers for Knowledge Graph Completion

Learning transferable representation of knowledge graphs (KGs) is challe...

0 Sanxing Chen, et al. ∙

research

∙ 02/27/2023

LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints

Trajectory prediction for autonomous driving must continuously reason th...

0 Mengmeng Liu, et al. ∙

research

∙ 02/24/2023

Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback

Large language models (LLMs), such as ChatGPT, are able to generate huma...

0 Baolin Peng, et al. ∙

research

∙ 02/15/2023

ForceFormer: Exploring Social Force and Transformer for Pedestrian Trajectory Prediction

Predicting trajectories of pedestrians based on goal information in high...

0 Weicheng Zhang, et al. ∙

research

∙ 02/06/2023

Generating Evidential BEV Maps in Continuous Driving Space

Safety is critical for autonomous driving, and one aspect of improving s...

0 Yunshuang Yuan, et al. ∙

research

∙ 02/03/2023

ShadowFormer: Global Context Helps Image Shadow Removal

Recent deep learning methods have achieved promising results in image sh...

0 Lanqing Guo, et al. ∙

research

∙ 12/21/2022

Language Models as Inductive Reasoners

Inductive reasoning is a core component of human intelligence. In the pa...

0 Zonglin Yang, et al. ∙

research

∙ 10/22/2022

ALT: Boosting Deep Learning Performance by Breaking the Wall between Graph and Operator Level Optimizations

Deep learning models rely on highly optimized tensor libraries for effic...

0 Zhiying Xu, et al. ∙

research

∙ 10/22/2022

Open-domain Question Answering via Chain of Reasoning over Heterogeneous Knowledge

We propose a novel open-domain question answering (ODQA) framework for a...

0 Kaixin Ma, et al. ∙

research

∙ 10/11/2022

Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering

Given its effectiveness on knowledge-intensive natural language processi...

0 Hao Cheng, et al. ∙

research

∙ 09/30/2022

Vertical Semi-Federated Learning for Efficient Online Advertising

As an emerging secure learning paradigm in leveraging cross-silo private...

0 Wenjie Li, et al. ∙

research

∙ 09/16/2022

GATraj: A Graph- and Attention-based Multi-Agent Trajectory Prediction Model

Trajectory prediction has been a long-standing problem in intelligent sy...

0 Hao Cheng, et al. ∙

research

∙ 08/30/2022

Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning

We present an efficient bi-encoder framework for named entity recognitio...

0 Sheng Zhang, et al. ∙

research

∙ 07/02/2022

INSCIT: Information-Seeking Conversations with Mixed-Initiative Interactions

In an information-seeking conversation, a user converses with an agent t...

0 Zeqiu Wu, et al. ∙

research

∙ 06/15/2022

READ: Aggregating Reconstruction Error into Out-of-distribution Detection

Detecting out-of-distribution (OOD) samples is crucial to the safe deplo...

0 Wenyu Jiang, et al. ∙

research

∙ 06/06/2022

An inverse random source problem for the Helium production-diffusion equation driven by a fractional Brownian motion

In this paper, we consider the prediction of the helium concentrations a...

0 Jing Li, et al. ∙

research

∙ 05/31/2022

Semi-Supervised Cross-Silo Advertising with Partial Knowledge Transfer

As an emerging secure learning paradigm in leveraging cross-agency priva...

0 Wenjie Li, et al. ∙

research

∙ 05/24/2022

Unsupervised Learning of Hierarchical Conversation Structure

Human conversations can evolve in many different ways, creating challeng...

11 Bo-Ru Lu, et al. ∙

research

∙ 05/20/2022

Visually-Augmented Language Modeling

Human language is grounded on multimodal knowledge including visual know...

0 Weizhi Wang, et al. ∙

research

∙ 05/19/2022

Mitigating Neural Network Overconfidence with Logit Normalization

Detecting out-of-distribution inputs is critical for safe deployment of ...

0 Hongxin Wei, et al. ∙

research

∙ 02/17/2022

A Survey of Knowledge-Intensive NLP with Pre-Trained Language Models

With the increasing of model capacity brought by pre-trained language mo...

0 Da Yin, et al. ∙

research

∙ 12/15/2021

Knowledge-Rich Self-Supervised Entity Linking

Entity linking faces significant challenges, such as prolific variations...

0 Sheng Zhang, et al. ∙

research

∙ 12/15/2021

Fine-Tuning Large Neural Language Models for Biomedical Natural Language Processing

Motivation: A perennial challenge for biomedical researchers and clinica...

0 Robert Tinn, et al. ∙

research

∙ 12/06/2021

Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention

Most of today's AI systems focus on using self-attention mechanisms and ...

3 Yichong Xu, et al. ∙

research

∙ 12/06/2021

Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise

Noisy labels damage the performance of deep networks. For robust learnin...

0 Mingcai Chen, et al. ∙

research

∙ 11/04/2021

CLUES: Few-Shot Learning Evaluation in Natural Language Understanding

Most recent progress in natural language understanding (NLU) has been dr...

2 Subhabrata Mukherjee, et al. ∙

research

∙ 11/01/2021

RMNet: Equivalently Removing Residual Connection from Networks

Although residual connection enables training very deep neural networks,...

0 Fanxu Meng, et al. ∙

research

∙ 10/16/2021

Open Domain Question Answering over Virtual Documents: A Unified Approach for Data and Text

Due to its potential for a universal interface over both data and text, ...

0 Kaixin Ma, et al. ∙

research

∙ 09/26/2021

Disentangled Feature Representation for Few-shot Image Classification

Learning the generalizable feature representation is critical for few-sh...

0 Hao Cheng, et al. ∙

research

∙ 09/23/2021

Keypoints-Based Deep Feature Fusion for Cooperative Vehicle Detection of Autonomous Driving

Sharing collective perception messages (CPM) between vehicles is investi...

0 Yunshuang Yuan, et al. ∙

research

∙ 09/15/2021

Dialogue State Tracking with a Language Model using Schema-Driven Prompting

Task-oriented conversational systems often use dialogue state tracking t...

0 Chia-Hsuan Lee, et al. ∙

research

∙ 06/25/2021

Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature

Information overload is a prevalent challenge in many high-value domains...

12 Yu Wang, et al. ∙

research

∙ 06/15/2021

Leopard: Scaling BFT without Sacrificing Efficiency

With the emergence of large-scale decentralized applications, a scalable...

0 Kexin Hu, et al. ∙

research

∙ 06/11/2021

Improving Take-over Situation by Active Communication

In this short paper an idea is sketched, how to support drivers of an au...

0 Monika Sester, et al. ∙

research

∙ 06/01/2021

Reconciliation of Statistical and Spatial Sparsity For Robust Image and Image-Set Classification

Recent image classification algorithms, by learning deep features from l...

0 Hao Cheng, et al. ∙

research

∙ 05/09/2021

Interaction Detection Between Vehicles and Vulnerable Road Users: A Deep Generative Approach with Attention

Intersections where vehicles are permitted to turn and interact with vul...

22 Hao Cheng, et al. ∙

Hao Cheng

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