Publications (16)
PRE-MAP: Personalized Reinforced Eye-tracking Multimodal LLM for High-Resolution Multi-Attribute Point Prediction
Hanbing Wu, Ping Jiang, Anyang Su +5
Visual selective attention, driven by individual preferences, regulates human prioritization of visual stimuli by bridging subjective cognitive mechanisms with objective visual ele…
COM Adjustment Mechanism Control for Multi-Configuration Motion Stability of Unmanned Deformable Vehicle
Jun Liu, Hongxun Liu, Cheng Zhang +3
An unmanned deformable vehicle is a wheel-legged robot transforming between two configurations: vehicular and humanoid states, with different motion modes and stability characteris…
A Novel Method for Differential-Algebraic Dynamic Model Discovery in Power Systems: An LLM-Based Multi-Agent Collaborative Framework
Xinming Wang, Fan Tang, Yingli Wei +6
With large-scale integration of emerging power electronic devices represented by grid-forming inverters, power system dynamics increasingly exhibit strong nonlinearity, multi-times…
Learning suction graspability considering grasp quality and robot reachability for bin-picking
Ping Jiang, Junji Oaki, Yoshiyuki Ishihara +7
Deep learning has been widely used for inferring robust grasps. Although human-labeled RGB-D datasets were initially used to learn grasp configurations, preparation of this kind of…
Phase-field modeling of dendritic growth with gas bubbles in the solidification of binary alloys
Chengjie Zhan, Zhenhua Chai, Dongke Sun +3
In this work, a phase-field model is developed for the dendritic growth with gas bubbles in the solidification of binary alloys. In this model, a total free energy for the complex…
A novel directly energy-preserving method for charged particle dynamics
Yexin Li, Ping Jiang, Haochen Li
In this paper, we apply the coordinate increment discrete gradient (CIDG) method to solve the Lorentz force system which can be written as a non-canonical Hamiltonian system. Then…
Credit Card Fraud Detection Using Autoencoder Neural Network
Junyi Zou, Jinliang Zhang, Ping Jiang
Imbalanced data classification problem has always been a popular topic in the field of machine learning research. In order to balance the samples between majority and minority clas…
CoEvoKG: Co-Evolving Knowledge Graphs with Self-Evolving Search Agents
Zhaoyang Li, Zenghuang Fu, Qiuyuan Ai +6
Large language models can improve with reinforcement learning for search agents, yet existing self play agents repeatedly generate tasks while discarding the knowledge gained durin…
Mano Technical Report
Tianyu Fu, Anyang Su, Chenxu Zhao +20
Graphical user interfaces (GUIs) are the primary medium for human-computer interaction, yet automating GUI interactions remains challenging due to the complexity of visual elements…
Dive Into the Implicit Biases of Low-rank Vision-language Alignment
Mingjia Shi, Shuo Wang, Xiaobo Wang +7
Vision-language alignment, the stage that bridges pretrained vision encoders and large language models, is widely treated as a form of pretraining requiring full-parameter updates.…
A quantum plasmonic nanocircuit on a semiconductor platform
Xiaofei Wu, Ping Jiang, Gary Razinskas +8
Quantum photonics holds great promise for future technologies such as secure communication, quantum computation, quantum simulation, and quantum metrology. An outstanding challenge…
Strain-released epitaxy of GaN enabled by compliant single-crystalline metal foils
Yaqing Ma, Junwei Cao, Huaze Zhu +16
Heteroepitaxy conventionally relies on rigid crystalline substrates, implicitly assuming that lattice and thermal mismatch must be accommodated within the epitaxial layer, leading…
WebRetriever: A Large-Scale Comprehensive Benchmark for Efficient Web Agent Evaluation
Wei Dong, Tianyu Fu, Zhe Yu +9
As web agents increasingly demonstrate capabilities in automated task execution, the development of robust evaluation frameworks for assessing their navigation and task completion…
Multi-Catheter Digitization in Brachytherapy via Few-Shot Synthetic-to-Real Learning and Structure-Aware Tracking
Zhuo Xiao, Bo Liu, Jingjing Wang +6
The paper presents a data‑efficient, physics‑guided method that uses few‑shot synthetic‑to‑real learning and structure‑aware tracking to automatically digitize multiple catheters i…
A diffuse-interface lattice Boltzmann method for the dendritic growth with thermosolutal convection
Chengjie Zhan, Zhenhua Chai, Baochang Shi +3
In this work, we proposed a diffuse interface model for the dendritic growth with thermosolutal convection. In this model, the sharp boundary between the fluid and solid dendrite i…
Multiple-object Grasping Using a Multiple-suction-cup Vacuum Gripper in Cluttered Scenes
Ping Jiang, Junji Oaki, Yoshiyuki Ishihara +1
Multiple-suction-cup grasping can improve the efficiency of bin picking in cluttered scenes. In this paper, we propose a grasp planner for a vacuum gripper to use multiple suction…