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Hao Jin

6 accepted papers

2026

Simulation-Ready Tree: High-Quality Dynamic Tree Reconstruction from a Single RGB-D Sensor

ICRA 2026poster

Realistic animation of real trees is challenging due to the difficulty in accurately capturing and simulating their movements under varying environmental conditions. Most of real tree reconstruction methods focus on the static modeling of trees from RGB images or LiDAR point clouds. Rather than RGB …

Cited by 0Scholar
2025

Efficient Cross-modal Prompt Learning with Semantic Enhancement for Domain-robust Fake News Detection

COLING 2025main

With the development of multimedia technology, online social media has become a major medium for people to access news, but meanwhile, it has also exacerbated the dissemination of multi-modal fake news. An automatic and efficient multi-modal fake news detection (MFND) method is urgently needed. Exis…

Cited by 0SourcePDFScholar
2024

Fastmandarin: Efficient Local Modeling for Natural Mandarin Speech Synthesis

ICASSP 2024accepted

Attention-based speech synthesis methods often suffer from dispersed attention across the entire input sequence, resulting in poor local modeling and unnatural Mandarin synthesized speech. To address these issues, we present FastMandarin, a rapid and natural Mandarin speech synthesis framework that…

Cited by 0SourceScholar
2023

A Semi-Automatic Oriental Ink Painting Framework for Robotic Drawing From 3D Models

RA-L 2023

Creating visually pleasing stylized ink paintings from 3D models is a challenge in robotic manipulation. We propose a semi-automatic framework that can extract expressive strokes from 3D models and draw them in oriental ink painting styles by using a robotic arm. The framework consists of a simulati

Cited by 2SourceScholar
2022

Federated Reinforcement Learning with Environment Heterogeneity

AISTATS 2022poster

We study Federated Reinforcement Learning (FedRL) problem in which $n$ agents collaboratively learn a single policy without sharing the trajectories they collected during agent-environment interaction. In this paper, we stress the constraint of environment heterogeneity, which means $n$ environments…