Publications (30)
Exciton interaction induced spin splitting in MoS monolayer
Yao Li, G. Li, Xiaokun Zhai +11
By pumping nonresonantly a MoS monolayer at K under a circularly polarized cw laser, we observe exciton energy redshifts that break the degeneracy between B excitons with…
Windowed Carbon Nanotubes for Efficient CO2 Removal from Natural Gas
Hongjun Liu, Valentino R. Cooper, Sheng Dai +1
We demonstrate from molecular dynamics simulations that windowed carbon nanotubes can efficiently separate CO2 from the CO2/CH4 mixture, resembling polymeric hollow fibers for gas…
Inversion Domain Boundary Induced Stacking and Bandstructure Diversity in Bilayer MoSe2
Jinhua Hong, Cong Wang, Hongjun Liu +9
Interlayer rotation and stacking were recently demonstrated as effective strategies for tuning physical properties of various two-dimensional materials. The latter strategy was mos…
FinDVer: Explainable Claim Verification over Long and Hybrid-Content Financial Documents
Yilun Zhao, Yitao Long, Yuru Jiang +7
We introduce FinDVer, a comprehensive benchmark specifically designed to evaluate the explainable claim verification capabilities of LLMs in the context of understanding and analyz…
Observation of intervalley quantum interference in epitaxial monolayer WSe2
Hongjun Liu, Jinglei Chen, Hongyi Yu +8
Monolayer (ML) transition metal dichalcogenides (TMDs) have been attracting great research attentions lately for their extraordinary properties, in particular the exotic spin-valle…
Reading, Not Thinking: Understanding and Bridging the Modality Gap When Text Becomes Pixels in Multimodal LLMs
Kaiser Sun, Xiaochuang Yuan, Hongjun Liu +4
Multimodal large language models (MLLMs) can process text presented as images, yet they often perform worse than when the same content is provided as textual tokens. We systematica…
FinanceMath: Knowledge-Intensive Math Reasoning in Finance Domains
Yilun Zhao, Hongjun Liu, Yitao Long +3
We introduce FinanceMath, a novel benchmark designed to evaluate LLMs' capabilities in solving knowledge-intensive math reasoning problems. Compared to prior works, this study feat…
Dense network of one-dimensional mid-gap metallic modes in monolayer MoSe2 and their spatial undulations
Hongjun Liu, Lu Jiao, Fang Yang +9
We report the observation of a dense triangular network of one-dimensional (1D) metallic modes in a continuous and uniform monolayer of MoSe2 grown by molecular-beam epitaxy. High-…
SwarmSys: Decentralized Swarm-Inspired Agents for Scalable and Adaptive Reasoning
Ruohao Li, Hongjun Liu, Leyi Zhao +7
Large language model (LLM) agents have shown remarkable reasoning abilities. However, existing multi-agent frameworks often rely on fixed roles or centralized control, limiting sca…
Superclass-Guided Representation Disentanglement for Spurious Correlation Mitigation
Chenruo Liu, Hongjun Liu, Zeyu Lai +3
To enhance group robustness to spurious correlations, prior work often relies on auxiliary group annotations and assumes identical sets of groups across training and test domains.…
Semantic Compensation via Adversarial Removal for Robust Zero-Shot ECG Diagnosis
Hongjun Liu, Rujun Han, Leyu Zhou +1
Recent ECG--language pretraining methods enable zero-shot diagnosis by aligning cardiac signals with clinical text, but they do not explicitly model robustness to partial observati…
Quasihyperbolic metric and Gromov hyperbolic spaces I
Hongjun Liu, Ling Xia, Shasha Yan
In this paper, we introduce the concepts of short arc and length map in quasihyperbolic metric spaces, and obtain some geometric characterizations of Gromov hyperbolicity for quasi…
Harnessing LLM Agents with Skill Programs
Hongjun Liu, Yifei Ming, Shafiq Joty +1
Equipping LLM agents with reusable skills derived from past experience has become a popular and successful approach for tackling complex and long-horizon tasks. However, such lesso…
SUCEA: Reasoning-Intensive Retrieval for Adversarial Fact-checking through Claim Decomposition and Editing
Hongjun Liu, Yilun Zhao, Arman Cohan +1
Automatic fact-checking has recently received more attention as a means of combating misinformation. Despite significant advancements, fact-checking systems based on retrieval-augm…
PuzzlePlex: Benchmarking Foundation Models on Reasoning and Planning with Puzzles
Yitao Long, Yuru Jiang, Hongjun Liu +6
This work investigates the reasoning and planning capabilities of foundation models and their scalability in complex, dynamic environments. We introduce PuzzlePlex, a benchmark des…
Chirp Parameter Optimization and Distributed Detection for Cooperative RSMA-AFDM Systems
Qingyu Li, Guanghui Liu, Yusha Liu +4
Affine frequency division multiplexing (AFDM) exhibits excellent Doppler robustness and the ability to characterize doubly selective channels. However, its signal dispersion charac…
Line and Point Defects in MoSe2 Bilayer Studied by Scanning Tunneling Microscopy and Spectroscopy
Hongjun Liu, Hao Zheng, Fang Yang +6
Bilayer (BL) MoSe2 films grown by molecular-beam epitaxy (MBE) are studied by scanning tunneling microscopy and spectroscopy (STM/S). Similar to monolayer (ML) films, networks of i…
MedMMV: A Controllable Multimodal Multi-Agent Framework for Reliable and Verifiable Clinical Reasoning
Hongjun Liu, Yinghao Zhu, Yuhui Wang +4
Recent progress in multimodal large language models (MLLMs) has demonstrated promising performance on medical benchmarks and in preliminary trials as clinical assistants. Yet, our…
Analysis and Compensation of Tx and Rx IQ Imbalances in AFDM System
Hongjun Liu, Liaoyuan Zeng, Junhao Tian +4
Affine frequency division multiplexing (AFDM) is a recently proposed multicarrier waveform whose bit error rate (BER) performance in doubly selective channels is comparable to that…
Cryptanalyze and design strong S-Box using 2D chaotic map and apply to irreversible key expansion
Hongjun Liu, Xingyuan Wang
Cryptanalysis result of key expansion algorithms in AES and SM4 revealed that, (1) there exist weaknesses in their S-Boxes, and (2) the round key expansion algorithm is reversible,…
Cryptanalysis and designing chaos-based irreversible and parallel key expansion module over Galois field
Hongjun Liu, Yujun Niu
From the security criteria of irreversibility, parallelizability and independence, we cryptanalyzed the key expansion modules of candidate block ciphers of AES, the results reveale…
Step-Aware Residual-Guided Diffusion for EEG Spatial Super-Resolution
Hongjun Liu, Leyu Zhou, Zijianghao Yang +1
For real-world BCI applications, lightweight Electroencephalography (EEG) systems offer the best cost-deployment balance. However, such spatial sparsity of EEG limits spatial fidel…
Spatial Imputation Drives Cross-Domain Alignment for EEG Classification
Hongjun Liu, Chao Yao, Yalan Zhang +2
Electroencephalogram (EEG) signal classification faces significant challenges due to data distribution shifts caused by heterogeneous electrode configurations, acquisition protocol…
Scattered Image Reconstruction at Near-infrared Based on Spatial Modulation Instability
Yuan Liao, Lin Li, Zhaolu Wang +2
We present a method of near-infrared image reconstruction based on spatial modulation instability in a photorefractive strontium barium niobate crystal. The conditions that lead to…
BioKD: Selective Physiology-to-Video Knowledge Distillation via Reliability Gate for Emotion Recognition
Bojing Hou, Ruohao Li, Yitong Zhu +3
To address the limitations of video-based emotion recognition under ambiguous or socially masked behavioral cues, as well as the poor deployability of physiological signals, this p…
Complete and robust energy conversion by sum frequency generation based on Invariant Engineering
Congfu Zhang, Zhaolu Wang, Hongjun Liu
We propose an analytical method to achieve complete energy conversion in sum frequency generation based on Lewis-Riesenfeld invariants theory. This technique, derived from a two-le…
Coordinate-Queryable Neural Field Reconstruction for EEG Spatial Super-Resolution with Unseen-Electrode Generation
Hongjun Liu, Leyu Zhou, Zijianghao Yang +1
EEG spatial super-resolution (EEGSR) in real deployments is challenged by random channel missingness, unstable electrode quality, and changing visible-channel patterns caused by ba…
DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Long and Specialized Documents
Yilun Zhao, Yitao Long, Hongjun Liu +7
Recent LLMs have demonstrated remarkable performance in solving exam-like math word problems. However, the degree to which these numerical reasoning skills are effective in real-wo…
CAFE: Channel-Autoregressive Factorized Encoding for Robust Biosignal Spatial Super-Resolution
Hongjun Liu, Leyu Zhou, Zijianghao Yang +4
High-density biosignal recordings are critical for neural decoding and clinical monitoring, yet real-world deployments often rely on low-density (LD) montages due to hardware and o…
Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis
Hongjun Liu, Changwei Song, Jiaqi Qiang +7
Cushing's syndrome is a condition caused by excessive glucocorticoid secretion from the adrenal cortex, often manifesting with moon facies and plethora, making facial data crucial…