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Junfeng Wang

8 accepted papers

2026

Fuzzy Fusion Control Strategy With Efficient Deep Deterministic Policy Gradient for Robotic Peg-in-Hole Assembly

RA-L 2026

The robotic peg-in-hole assembly task remains challenging. Traditional force control methods struggle with complex parameter identification and contact state analysis, while deep reinforcement learning(DRL) suffers from low efficiency and poor adaptability. To address these shortcomings and to capit

Cited by 0SourceScholar
2026

Learning to Diversify and Focus: A Reinforcement Framework for Open-Vocabulary HOI Detection

CVPR 2026

Open-Vocabulary Human-Object Interaction (OV-HOI) detection aims to recognize novel HOI categories beyond the training set. Existing OV-HOI detection approaches typically leverage CLIP to extract global visual representations and perform cross-attention between learnable queries and global features

Cited by 0SourceScholar
2025

A Bionic Robotic Hand Designed with Multiple Grasping Modes and Magnetic-tactile Perception

IROS 2025

This paper presents a novel multi-mode bionic robotic hand. Its bionic finger (BIF) ingeniously combines a magnetic-silica-gel skin with a rigid skeletal framework and integrates a vacuum suction cup at the fingertip. This design enables the bionic manipulator to execute multiple grasping modes, nam

Cited by 0SourceScholar
2025

Hgformer: Hyperbolic Graph Transformer for Collaborative Filtering

ICML 2025poster

Recommender systems are increasingly spreading to different areas like e-commerce or video streaming to alleviate information overload. One of the most fundamental methods for recommendation is Collaborative Filtering (CF), which leverages historical user-item interactions to infer user preferences…

2025

Towards S²-Challenges Underlying LLM-Based Augmentation for Personalized News Recommendation

AAAI 2025technical

Personalized news recommendation aims to recommend candidate news to the target user. Since the data and knowledge involved in traditional recommender systems are restricted, recent studies utilize large language models (LLMs) to generate news articles and augment the original dataset. However, desp…

Cited by 0SourcePDFScholar
2024

GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced Distillation

EMNLP 2024industry

Pre-trained language models have become an integral component of question-answering systems, achieving remarkable performance. However, for practical deployment, it is crucial to perform knowledge distillation to maintain high performance while operating under computational constraints. In this pape…

Cited by 1SourcePDFScholar
2024

VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization

NAACL 2024long

This paper presents VisLingInstruct, a novel approach to advancing Multi-Modal Language Models (MMLMs) in zero-shot learning. Current MMLMs show impressive zero-shot abilities in multi-modal tasks, but their performance depends heavily on the quality of instructions. VisLingInstruct tackles this by…

2017

Gantry Scheduling for Multi-Gantry Production System by Online Task Allocation Method

RA-L 2017

For a multi-gantry production system, in which several gantries move among the machines and load/unload parts, the assignment of gantries directly impacts the system performance. Gantry scheduling problem is extremely important, involving when and where the gantries are assigned to the machines. Thi

Cited by 10SourceScholar