Publications (47)
nanoLM: an Affordable LLM Pre-training Benchmark via Accurate Loss Prediction across Scales
Yiqun Yao, Siqi fan, Xiusheng Huang +10
As language models scale up, it becomes increasingly expensive to verify research ideas because conclusions on small models do not trivially transfer to large ones. A possible solu…
Exceptional surface-enhanced Rotation Sensing with Robustness in an optical microcavity
Wenxiu Li, Yang Zhou, Peng Han +5
Exceptional points (EPs) are special singularities of non-Hermitian Hamiltonians. At an EP, two or more eigenvalues and the corresponding eigenstates coalesce. Recently, EP-based o…
PT-ResNet: Perspective Transformation-Based Residual Network for Semantic Road Image Segmentation
Rui Fan, Yuan Wang, Lei Qiao +5
Semantic road region segmentation is a high-level task, which paves the way towards road scene understanding. This paper presents a residual network trained for semantic road segme…
The 2009 outburst from the new X-ray transient and black-hole candidate XTE J1652453
Peng Han, Jinlu Qu, Shu Zhang +5
The RXTE and Swift observations on the 2009 outburst from a newly discovered transient and black-hole candidate XTE J1652453 are analyzed. The source was observed by RXTE to beh…
Autonomous UAV Landing System Based on Visual Navigation
Zhixin Wu, Peng Han, Ruiwen Yao +7
In this paper, we present an autonomous unmanned aerial vehicle (UAV) landing system based on visual navigation. We design the landmark as a topological pattern in order to enable…
What Affects the Stability of Tool Learning? An Empirical Study on the Robustness of Tool Learning Frameworks
Chengrui Huang, Zhengliang Shi, Yuntao Wen +4
Tool learning methods have enhanced the ability of large language models (LLMs) to interact with real-world applications. Many existing works fine-tune LLMs or design prompts to en…
Optimal energy harvesting efficiency from vortex-induced vibration of a circular cylinder under flow
Peng Han, Qiaogao Huang, Guang Pan +4
This work applies a combined approach a reduced-order model (ROM) together with experiments and direct numerical simulations to investigate the optimal efficiency of fluid-flow ene…
RetroGraph: Retrosynthetic Planning with Graph Search
Shufang Xie, Rui Yan, Peng Han +5
Retrosynthetic planning, which aims to find a reaction pathway to synthesize a target molecule, plays an important role in chemistry and drug discovery. This task is usually modele…
Position-Aware Depth Decay Decoding (): Boosting Large Language Model Inference Efficiency
Siqi Fan, Xuezhi Fang, Xingrun Xing +3
Due to the large number of parameters, the inference phase of Large Language Models (LLMs) is resource-intensive. Unlike traditional model compression, which needs retraining, rece…
Interatomic potentials for the vibrational properties of III-V semiconductor nanostructures
Peng Han, Gabriel Bester
We derive interatomic potentials for zinc blende InAs, InP, GaAs and GaP semiconductors with possible applications in the realm of nanostructures. The potentials include bond stret…
Grid and Road Expressions Are Complementary for Trajectory Representation Learning
Silin Zhou, Shuo Shang, Lisi Chen +2
Trajectory representation learning (TRL) maps trajectories to vectors that can be used for many downstream tasks. Existing TRL methods use either grid trajectories, capturing movem…
TEAM: Topological Evolution-aware Framework for Traffic Forecasting--Extended Version
Duc Kieu, Tung Kieu, Peng Han +3
Due to the global trend towards urbanization, people increasingly move to and live in cities that then continue to grow. Traffic forecasting plays an important role in the intellig…
Phonon-assisted Auger enables ultrafast charge transfer in CdSe Quantum Dot/Organic Molecule
Zhi Wang, Mona Rafipoor, Pablo GarcÃa Risueño +4
Charge transfer between photoexcited quantum dots and molecular acceptors is one of the key limiting processes in most applications of colloidal nanostructures, most prominently in…
FilmBench: A Film-Grade Benchmark for Cinematic Video Generation
Shengyi Wang, Niantong Li, Guangzheng Hu +27
Progress in video generation keeps narrowing the visual gap between AI-generated and professionally produced footage, yet most benchmarks still draw prompts from web sources or LLM…
Sketch: A Toolkit for Streamlining LLM Operations
Xin Jiang, Xiang Li, Wenjia Ma +8
Large language models (LLMs) represented by GPT family have achieved remarkable success. The characteristics of LLMs lie in their ability to accommodate a wide range of tasks throu…
High-sensitivity bio-sensor based on the real-splitting indirectly coupled Anti-Parity time symmetric WGMs
Wenxiu Li, Hao Zhang, Peng Han +5
Detecting the size of single nanoparticle with high precision is crucial to understanding the characteristic of the nanoparticle. In this paper, we research the single particle det…
The characterization of hyper-bent function with multiple trace terms in the extension field
Peng Han, Keli Pu
Bent functions are maximally nonlinear Boolean functions with an even number of variables, which include a subclass of functions, the so-called hyper-bent functions whose propertie…
A Systematic Study on Energy Dependence of Quasi-Periodic Oscillation Frequency in GRS 1915+105
Shu-Ping Yan, Jin-Lu Qu, Guo-Qiang Ding +6
Systematically studying all the RXTE/PCA observations for GRS 1915+105 before November 2010, we have discovered three additional patterns in the relation between Quasi-Periodic Osc…
InWaveSR: Topography-Aware Super-Resolution Network for Internal Solitary Waves
Xinjie Wang, Zhongrui Li, Peng Han +4
The effective utilization of observational data is frequently hindered by insufficient resolution. To address this problem, we present a new spatio-temporal super-resolution (STSR)…
DRE: Generating Recommendation Explanations by Aligning Large Language Models at Data-level
Shen Gao, Yifan Wang, Jiabao Fang +3
Recommendation systems play a crucial role in various domains, suggesting items based on user behavior.However, the lack of transparency in presenting recommendations can lead to u…
Effective Online Exam Proctoring by Combining Lightweight Face Detection and Deep Recognition
Xu Yang, Juantao Zhong, Daoyuan Wu +4
Online exams conducted via video conferencing platforms such as Zoom have become widespread, yet ensuring exam integrity remains challenging due to the difficulty of monitoring mul…
Frozen-phonon method for state anticrossing situations and its application to zero-point motion effects in diamondoids
Pablo GarcÃa-Risueño, Peng Han, Gabriel Bester
The frozen-phonon method, used to calculate electron-phonon coupling effects, requires calculations of the investigated structure using atomic coordinates displaced according to a…
If an LLM Were a Character, Would It Know Its Own Story? Evaluating Lifelong Learning in LLMs
Siqi Fan, Xiusheng Huang, Yiqun Yao +6
Large language models (LLMs) can carry out human-like dialogue, but unlike humans, they are stateless due to the superposition property. However, during multi-turn, multi-agent int…
GEO satellites on-orbit repairing mission planning with mission deadline constraint using a large neighborhood search-genetic algorithm
Peng Han, Yanning Guo, Chuanjiang Li +2
This paper proposed a novel large neighborhood search-adaptive genetic algorithm (LNS-AGA) for many-to-many on-orbit repairing mission planning of geosynchronous orbit (GEO) satell…
FLM-101B: An Open LLM and How to Train It with $100K Budget
Xiang Li, Yiqun Yao, Xin Jiang +10
Large language models (LLMs) are considered important approaches towards foundational machine intelligence, achieving remarkable success in Natural Language Processing and multimod…
MotionGS : Compact Gaussian Splatting SLAM by Motion Filter
Xinli Guo, Weidong Zhang, Ruonan Liu +2
With their high-fidelity scene representation capability, the attention of SLAM field is deeply attracted by the Neural Radiation Field (NeRF) and 3D Gaussian Splatting (3DGS). Rec…
Confinement effects on the vibrational properties of III-V and II-VI nanoclusters
Peng Han, Gabriel Bester
We present a first-principles study of the confinement effects on the vibrational properties of thousand atoms (radii up to 16.2 Ã ) colloidal III-V and II-VI nanoclusters. We desc…
Fast Constraint Propagation for Image Segmentation
Peng Han
This paper presents a novel selective constraint propagation method for constrained image segmentation. In the literature, many pairwise constraint propagation methods have been de…
Heavy strain conditions in colloidal core-shell quantum dots and their consequences on the vibrational properties from \emph{Ab initio} calculations
Peng Han, Gabriel Bester
We preform large-scale \emph{ab initio} density functional theory calculations to study the lattice strain and the vibrational properties of colloidal semiconductor core-shell nano…
Deep-Learning-Empowered Programmable Topolectrical Circuits
Hao Jia, Shanglin Yang, Jiajun He +9
Topolectrical circuits provide a versatile platform for exploring and simulating modern physical models. However, existing approaches suffer from incomplete programmability and ine…
PORCA: Root Cause Analysis with Partially Observed Data
Chang Gong, Di Yao, Jin Wang +6
Root Cause Analysis (RCA) aims at identifying the underlying causes of system faults by uncovering and analyzing the causal structure from complex systems. It has been widely used…
Quantum Sensing Beyond Exceptional Points via Hidden symmetry-protected vacuum-noise fixed point
Wencong Wang, Yuyang Liang, Peng Han +3
Exceptional-point (EP) sensing has attracted considerable interest because of its anomalous response scaling. However, recent studies have shown that the enhanced response near an…
Initial release styles have limited effects on the hydrodynamic dynamics of a self-propelled fin in the unsteady wakes
Peng Han, Dong Zhang, Jun-Duo Zhang +1
Living fish may suddenly encounter upstream obstacles, join the queue of the fish schooling, or detect upstream flow in advance, resulting in interactions with environmental vortic…
Learning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting
Minbo Ma, Jilin Hu, Christian S. Jensen +4
Spatio-temporal forecasting of future values of spatially correlated time series is important across many cyber-physical systems (CPS). Recent studies offer evidence that the use o…
Determination of the phonon sidebands in the photoluminescence spectrum of semiconductor nanoclusters from ab initio calculations
Peng Han, Gabriel Bester
We propose a theoretical approach based on (constrained) density functional theory and the Franck-Condon approximation for the calculation of the temperature dependent photolumines…
Open-domain Implicit Format Control for Large Language Model Generation
Yiqun Yao, Wenjia Ma, Xuezhi Fang +7
Controlling the format of outputs generated by large language models (LLMs) is a critical functionality in various applications. Current methods typically employ constrained decodi…
Strong terahertz emission from superlattices via Zener tunneling
Peng Han, Kui-juan Jin, Barry C. Sanders +3
We develop a comprehensive, elegant theory to explain terahertz (THz) emission from a superlattice over a wide range of applied electric field,which shows excellent agreement betwe…
The Price of a Second Thought: On the Evaluation of Reasoning Efficiency in Large Language Models
Siqi Fan, Bowen Qin, Peng Han +3
Recent thinking models trained with reinforcement learning and backward-checking CoT often suffer from overthinking: they produce excessively long outputs even on simple problems,…
Not All Layers of LLMs Are Necessary During Inference
Siqi Fan, Xin Jiang, Xiang Li +6
Due to the large number of parameters, the inference phase of Large Language Models (LLMs) is resource-intensive. However, not all requests posed to LLMs are equally difficult to h…
PCBSchemaGen: Reward-Guided LLM Code Synthesis for Printed Circuit Boards (PCB) Schematic Design with Structured Verification
Huanghaohe Zou, Peng Han, Emad Nazerian +3
Most LLM code-synthesis benchmarks rely on unit tests as the reward oracle, but PCB schematic design has none: correctness is defined by structured physical constraints over real I…
Vibron-vibron coupling from ab initio molecular dynamics simulations of a silicon cluster
Peng Han, Linas Vilciauskas, Gabriel Bester
We study the temperature dependent dynamical processes of a Si10H16 cluster and obtain a blue shift of the Si-Si vibrational modes with transverse acoustic character and a red shif…
Variable optical chirality in an atomic assisted microresonator
Hao Zhang, Wenxiu Li, Xiaoyang Chang +3
A whispering gallery mode resonator with a cavity-made slot filled atomic vapor is demonstrated, in which the chiral symmetry is broken induced by asymmetric backscattering of coun…
Experimental identification of the second-order non-Hermitian skin effect with physics-graph-informed machine learning
Ce Shang, Shuo Liu, Ruiwen Shao +11
Topological phases of matter are conventionally characterized by the bulk-boundary correspondence in Hermitian systems: The topological invariant of the bulk in dimensions corr…
Reinforcement Mid-Training
Yijun Tian, Shaoyu Chen, Zhichao Xu +4
The development of state-of-the-art large language models is commonly understood as a two-stage process involving pre-training and post-training. We point out the need for an addit…
R^3: Replay, Reflection, and Ranking Rewards for LLM Reinforcement Learning
Zhizheng Jiang, Kang Zhao, Weikai Xu +5
Large reasoning models (LRMs) aim to solve diverse and complex problems through structured reasoning. Recent advances in group-based policy optimization methods have shown promise…
V2VSSC: A 3D Semantic Scene Completion Benchmark for Perception with Vehicle to Vehicle Communication
Yuanfang Zhang, Junxuan Li, Kaiqing Luo +6
Semantic scene completion (SSC) has recently gained popularity because it can provide both semantic and geometric information that can be used directly for autonomous vehicle navig…
An Open Problem on the Bentness of Mesnager's Functions
Chunming Tang, Peng Han, Qi Wang +2
Let . In the present paper, we study the binomial Boolean functions of the form w…