b'Jie Fu'

research

∙ 09/06/2023

Technical Report: A Contact-aware Feedback CPG System for Learning-based Locomotion Control in a Soft Snake Robot

Integrating contact-awareness into a soft snake robot and efficiently co...

0 Xuan Liu, et al. ∙

research

∙ 08/21/2023

Adaptive Local Steps Federated Learning with Differential Privacy Driven by Convergence Analysis

Federated Learning (FL) is a distributed machine learning technique that...

0 XinPeng Ling, et al. ∙

research

∙ 08/19/2023

Enhancing SCF with Privacy-Preserving and Splitting-Enabled E-Bills on Blockchain

Electronic Bill (E-Bill) is a rucial negotiable instrument in the form o...

0 Hao Yang, et al. ∙

research

∙ 08/14/2023

ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate

Text evaluation has historically posed significant challenges, often dem...

0 Chi-Min Chan, et al. ∙

research

∙ 08/02/2023

Optimal Sensor Deception to Deviate from an Allowed Itinerary

In this work, we study a class of deception planning problems in which a...

0 Hazhar Rahmani, et al. ∙

research

∙ 07/11/2023

On the Effectiveness of Speech Self-supervised Learning for Music

Self-supervised learning (SSL) has shown promising results in various sp...

0 Yinghao Ma, et al. ∙

research

∙ 07/05/2023

Multimodal Imbalance-Aware Gradient Modulation for Weakly-supervised Audio-Visual Video Parsing

Weakly-supervised audio-visual video parsing (WS-AVVP) aims to localize ...

0 Jie Fu, et al. ∙

research

∙ 06/29/2023

LyricWhiz: Robust Multilingual Zero-shot Lyrics Transcription by Whispering to ChatGPT

We introduce LyricWhiz, a robust, multilingual, and zero-shot automatic ...

0 Le Zhuo, et al. ∙

research

∙ 06/28/2023

NIPD: A Federated Learning Person Detection Benchmark Based on Real-World Non-IID Data

Federated learning (FL), a privacy-preserving distributed machine learni...

0 Kangning Yin, et al. ∙

research

∙ 06/22/2023

Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs

The task of empowering large language models (LLMs) to accurately expres...

0 Miao Xiong, et al. ∙

research

∙ 06/18/2023

MARBLE: Music Audio Representation Benchmark for Universal Evaluation

In the era of extensive intersection between art and Artificial Intellig...

4 Ruibin Yuan, et al. ∙

research

∙ 06/06/2023

ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory

Large language models (LLMs) with memory are computationally universal. ...

5 Chenxu Hu, et al. ∙

research

∙ 05/31/2023

MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training

Self-supervised learning (SSL) has recently emerged as a promising parad...

2 Yizhi Li, et al. ∙

research

∙ 05/31/2023

TPDM: Selectively Removing Positional Information for Zero-shot Translation via Token-Level Position Disentangle Module

Due to Multilingual Neural Machine Translation's (MNMT) capability of ze...

0 Xingran Chen, et al. ∙

research

∙ 05/26/2023

HUB: Guiding Learned Optimizers with Continuous Prompt Tuning

Learned optimizers are a crucial component of meta-learning. Recent adva...

7 Gaole Dai, et al. ∙

research

∙ 05/22/2023

Interactive Natural Language Processing

Interactive Natural Language Processing (iNLP) has emerged as a novel pa...

3 Zekun Wang, et al. ∙

research

∙ 05/02/2023

Huatuo-26M, a Large-scale Chinese Medical QA Dataset

In this paper, we release a largest ever medical Question Answering (QA)...

0 Jianquan Li, et al. ∙

research

∙ 05/02/2023

Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models

The prompt-based learning paradigm, which bridges the gap between pre-tr...

0 Shuai Zhao, et al. ∙

research

∙ 04/28/2023

MUDiff: Unified Diffusion for Complete Molecule Generation

We present a new model for generating molecular data by combining discre...

11 Chenqing Hua, et al. ∙

research

∙ 04/25/2023

When Do Graph Neural Networks Help with Node Classification: Investigating the Homophily Principle on Node Distinguishability

Homophily principle, i.e. nodes with the same labels are more likely to ...

27 Sitao Luan, et al. ∙

research

∙ 04/23/2023

Probabilistic Planning with Prioritized Preferences over Temporal Logic Objectives

This paper studies temporal planning in probabilistic environments, mode...

0 Lening Li, et al. ∙

research

∙ 04/17/2023

Chinese Open Instruction Generalist: A Preliminary Release

Instruction tuning is widely recognized as a key technique for building ...

3 Ge Zhang, et al. ∙

research

∙ 04/16/2023

Chain of Thought Prompt Tuning in Vision Language Models

Language-Image Pre-training has demonstrated promising results on zero-s...

0 Jiaxin Ge, et al. ∙

research

∙ 04/12/2023

Optimizing Sensor Allocation against Attackers with Uncertain Intentions: A Worst-Case Regret Minimization Approach

This paper is concerned with the optimal allocation of detection resourc...

0 Haoxiang Ma, et al. ∙

research

∙ 03/23/2023

Modular Retrieval for Generalization and Interpretation

New retrieval tasks have always been emerging, thus urging the developme...

0 Juhao Liang, et al. ∙

research

∙ 02/26/2023

Autonomous Search of Semantic Objects in Unknown Environments

This paper addresses the problem of enabling a robot to search for a sem...

0 Zhentian Qian, et al. ∙

research

∙ 01/03/2023

Optimal Decoy Resource Allocation for Proactive Defense in Probabilistic Attack Graphs

This paper investigates the problem of synthesizing proactive defense sy...

0 Haoxiang Ma, et al. ∙

research

∙ 01/01/2023

CORGI-PM: A Chinese Corpus For Gender Bias Probing and Mitigation

As natural language processing (NLP) for gender bias becomes a significa...

0 Ge Zhang, et al. ∙

research

∙ 12/23/2022

A Close Look at Spatial Modeling: From Attention to Convolution

Vision Transformers have shown great promise recently for many vision ta...

0 Xu Ma, et al. ∙

research

∙ 12/05/2022

MAP-Music2Vec: A Simple and Effective Baseline for Self-Supervised Music Audio Representation Learning

The deep learning community has witnessed an exponentially growing inter...

16 Yizhi Li, et al. ∙

research

∙ 11/29/2022

Adap DP-FL: Differentially Private Federated Learning with Adaptive Noise

Federated learning seeks to address the issue of isolated data islands b...

0 Jie Fu, et al. ∙

research

∙ 11/14/2022

SA-DPSGD: Differentially Private Stochastic Gradient Descent based on Simulated Annealing

Differential privacy (DP) provides a formal privacy guarantee that preve...

0 Jie Fu, et al. ∙

research

∙ 11/07/2022

Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition

Incorporating large-scale pre-trained models with the prototypical neura...

0 Youcheng Huang, et al. ∙

research

∙ 11/05/2022

HERB: Measuring Hierarchical Regional Bias in Pre-trained Language Models

Fairness has become a trending topic in natural language processing (NLP...

0 Yizhi Li, et al. ∙

research

∙ 11/04/2022

1Cademy @ Causal News Corpus 2022: Leveraging Self-Training in Causality Classification of Socio-Political Event Data

This paper details our participation in the Challenges and Applications ...

0 Adam Nik, et al. ∙

research

∙ 10/31/2022

1Cademy @ Causal News Corpus 2022: Enhance Causal Span Detection via Beam-Search-based Position Selector

In this paper, we present our approach and empirical observations for Ca...

0 Xingran Chen, et al. ∙

research

∙ 10/21/2022

Text Editing as Imitation Game

Text editing, such as grammatical error correction, arises naturally fro...

7 Ning Shi, et al. ∙

research

∙ 10/13/2022

Synthesis of Proactive Sensor Placement In Probabilistic Attack Graphs

This paper studies the deployment of joint moving target defense (MTD) a...

0 Lening Li, et al. ∙

research

∙ 10/04/2022

Opportunistic Qualitative Planning in Stochastic Systems with Incomplete Preferences over Reachability Objectives

Preferences play a key role in determining what goals/constraints to sat...

0 Abhishek N. Kulkarni, et al. ∙

research

∙ 09/25/2022

Probabilistic Planning with Partially Ordered Preferences over Temporal Goals

In this paper, we study planning in stochastic systems, modeled as Marko...

0 Hazhar Rahmani, et al. ∙

research

∙ 09/15/2022

Bidirectional Learning for Offline Infinite-width Model-based Optimization

In offline model-based optimization, we strive to maximize a black-box o...

0 Can Chen, et al. ∙

research

∙ 09/01/2022

On Almost-Sure Intention Deception Planning that Exploits Imperfect Observers

Intention deception involves computing a strategy which deceives the opp...

0 Jie Fu, et al. ∙

research

∙ 07/11/2022

Reinforcement Learning of a CPG-regulated Locomotion Controller for a Soft Snake Robot

In this work, we present a learning-based goal-tracking control method f...

0 Xuan Liu, et al. ∙

research

∙ 03/28/2022

Synthesizing Attack-Aware Control and Active Sensing Strategies under Reactive Sensor Attacks

We consider the probabilistic planning problem for a defender (P1) who c...

0 Sumukha Udupa, et al. ∙

research

∙ 03/25/2022

Opportunistic Qualitative Planning in Stochastic Systems with Preferences over Temporal Logic Objectives

Preferences play a key role in determining what goals/constraints to sat...

0 Abhishek Ninad Kulkarni, et al. ∙

research

∙ 10/29/2021

MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare

Mental health is a critical issue in modern society, and mental disorder...

50 Shaoxiong Ji, et al. ∙

research

∙ 10/11/2021

Pre-trained Language Models in Biomedical Domain: A Systematic Survey

Pre-trained language models (PLMs) have been the de facto paradigm for m...

5 Benyou Wang, et al. ∙

research

∙ 10/06/2021

Unifying Likelihood-free Inference with Black-box Sequence Design and Beyond

Black-box optimization formulations for biological sequence design have ...

5 Dinghuai Zhang, et al. ∙

research

∙ 07/23/2021

Pruning Ternary Quantization

We propose pruning ternary quantization (PTQ), a simple, yet effective, ...

0 Dan Liu, et al. ∙

research

∙ 07/13/2021

Towards Representation Identical Privacy-Preserving Graph Neural Network via Split Learning

In recent years, the fast rise in number of studies on graph neural netw...

0 Chuanqiang Shan, et al. ∙

Jie Fu

Featured Co-authors