Publications (30)
Direct Value Optimization: Improving Chain-of-Thought Reasoning in LLMs with Refined Values
Hongbo Zhang, Han Cui, Guangsheng Bao +3
We introduce Direct Value Optimization (DVO), an innovative reinforcement learning framework for enhancing large language models in complex reasoning tasks. Unlike traditional meth…
Explanation Graph Generation via Generative Pre-training over Synthetic Graphs
Han Cui, Shangzhan Li, Yu Zhang +1
The generation of explanation graphs is a significant task that aims to produce explanation graphs in response to user input, revealing the internal reasoning process. This task is…
Effects of shallow carbon and deep N++ layer on the radiation hardness of IHEP-IME LGAD sensors
Mengzhao Li, Yunyun Fan, Xuewei Jia +23
Low Gain Avalanche Diode (LGAD) is applied for the High-Granularity Timing Detector (HGTD), and it will be used to upgrade the ATLAS experiment. The first batch IHEP-IME LGAD senso…
Robust Sensitivity Analysis via Augmented Percentile Bootstrap under Simultaneous Violations of Unconfoundedness and Overlap
Han Cui, Xinran Li
The identification of causal effects in observational studies typically relies on two standard assumptions: unconfoundedness and overlap. However, both assumptions are often questi…
Wireless Localisation in WiFi using Novel Deep Architectures
Peizheng Li, Han Cui, Aftab Khan +4
This paper studies the indoor localisation of WiFi devices based on a commodity chipset and standard channel sounding. First, we present a novel shallow neural network (SNN) in whi…
Global well-posedness of the Cauchy problem for the modified Whitham equations
Han Cui, Yuexun Wang, Zhouping Xin
This paper aims to show global existence and modified scattering for the solutions of the Cauchy problem to the modified Whitham equations for small, smooth and localized initial d…
A Black-Box Debiasing Framework for Conditional Sampling
Han Cui, Jingbo Liu
Conditional sampling is a fundamental task in Bayesian statistics and generative modeling. Consider the problem of sampling from the posterior distribution for some o…
An Empirical Study of False Negatives and Positives of Static Code Analyzers From the Perspective of Historical Issues
Han Cui, Menglei Xie, Ting Su +2
Static code analyzers are widely used to help find program flaws. However, in practice the effectiveness and usability of such analyzers is affected by the problems of false negati…
Super resolution dual-energy cone-beam CT imaging with dual-layer flat-panel detector
Ting Su, Jiongtao Zhu, Xin Zhang +7
For medical cone-beam computed tomography (CBCT) imaging, the native receptor array of the flat-panel detector (FPD) is usually binned into a reduced matrix size. By doing so, the…
The performance of IHEP-NDL LGAD sensors after neutron irradiation
Mengzhao Li, Yunyun Fan, Bo Liu +20
The performances of Low Gain Avalanche diode (LGAD) sensors from a neutron irradiation campaign with fluences of 0.8 x 10^15, 15 x 10^15 and 2.5 x 10^15 neq/cm2 are reported in thi…
Class-Incremental Few-Shot Object Detection
Pengyang Li, Yanan Li, Han Cui +1
Conventional detection networks usually need abundant labeled training samples, while humans can learn new concepts incrementally with just a few examples. This paper focuses on a…
The Global Well-posedness of the Euler-Poisson System for Ions in 2D
Han Cui
This paper aims to establish the global well-posedness of the Euler-Poisson system for ions in 2D. The difficulties arising from time resonance at low frequencies and slow decay wi…
MiliPoint: A Point Cloud Dataset for mmWave Radar
Han Cui, Shu Zhong, Jiacheng Wu +3
Millimetre-wave (mmWave) radar has emerged as an attractive and cost-effective alternative for human activity sensing compared to traditional camera-based systems. mmWave radars ar…
Sampling from the Random Linear Model via Stochastic Localization Up to the AMP Threshold
Han Cui, Zhiyuan Yu, Jingbo Liu
Recently, Approximate Message Passing (AMP) has been integrated with stochastic localization (diffusion model) by providing a computationally efficient estimator of the posterior m…
FAAST: Forward-Only Associative Learning via Closed-Form Fast Weights for Test-Time Supervised Adaptation
Guangsheng Bao, Hongbo Zhang, Han Cui +4
Adapting pretrained models typically involves a trade-off between the high training costs of backpropagation and the heavy inference overhead of memory-based or in-context learning…
Channel Estimation and LDPC Decoding for Bursty Phase Noise
Han Cui, Frank R. Kschischang, Magnus Karlsson +1
Time-varying distortions in communication systems can significantly degrade the performance of soft-decision forward error correction. This paper presents a burst-aware (BA) low-de…
Leakage current simulations of Low Gain Avalanche Diode with improved Radiation Damage Modeling
Tao Yang, Kewei Wu, Mei Zhao +24
We report precise TCAD simulations of IHEP-IME-v1 Low Gain Avalanche Diode (LGAD) calibrated by secondary ion mass spectroscopy (SIMS). Our setup allows us to evaluate the leakage…
Design and testing of LGAD sensor with shallow carbon implantation
Kewei Wu, Xuewei Jia, Tao Yang +26
The low gain avalanche detectors (LGADs) are thin sensors with fast charge collection which in combination with internal gain deliver an outstanding time resolution of about 30 ps.…
Characterization of the response of IHEP-IME LGAD with shallow carbon to Gamma Irradiation
Weiyi Sun, Yunyun Fan, Mei Zhao +12
Low Gain Avalanche Detectors (LGAD) for the High-Granularity Timing Detector (HGTD) are crucial in reducing pileups in the High-Luminosity Large Hadron Collider. Numerous studies h…
Deep Transfer Learning for WiFi Localization
Peizheng Li, Han Cui, Aftab Khan +4
This paper studies a WiFi indoor localisation technique based on using a deep learning model and its transfer strategies. We take CSI packets collected via the WiFi standard channe…
Minimizing Mismatch Risk: A Prototype-Based Routing Framework for Zero-shot LLM-generated Text Detection
Ke Sun, Guangsheng Bao, Han Cui +1
Zero-shot methods detect LLM-generated text by computing statistical signatures using a surrogate model. Existing approaches typically employ a fixed surrogate for all inputs regar…
Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information
Yiren Zhao, Ilia Shumailov, Han Cui +3
Recent research on reinforcement learning (RL) has suggested that trained agents are vulnerable to maliciously crafted adversarial samples. In this work, we show how such samples c…
When AI Settles Down: Late-Stage Stability as a Signature of AI-Generated Text Detection
Ke Sun, Guangsheng Bao, Han Cui +1
Zero-shot detection methods for AI-generated text typically aggregate token-level statistics across entire sequences, overlooking the temporal dynamics inherent to autoregressive g…
Lead-Free Europium Halide Perovskite Nanoplatelets
Sebastian Fernández, Divine Mbachu, Manchen Hu +9
Metal halide perovskites possess desirable optical, material, and electrical properties which have had substantial impact on next-generation optoelectronics. However, given the tox…
Super resolution dual-layer CBCT imaging with model-guided deep learning
Jiongtao Zhu, Ting Su, Xin Zhang +6
Objective: This study aims at investigating a novel super resolution CBCT imaging technique with the dual-layer flat panel detector (DL-FPD). Approach: In DL-FPD based CBCT imaging…
Millimetre-wave Radar for Low-Cost 3D Imaging: A Performance Study
Han Cui, Jiacheng Wu, Naim Dahnoun
Millimetre-wave (mmWave) radars can generate 3D point clouds to represent objects in the scene. However, the accuracy and density of the generated point cloud can be lower than a l…
Deep Literature Survey Automation with an Iterative Workflow
Hongbo Zhang, Han Cui, Yidong Wang +6
Automatic literature survey generation has attracted increasing attention, yet most existing systems follow a one-shot paradigm, where a large set of papers is retrieved at once an…
CBCT scatter correction with dual-layer flat-panel detector
Xin Zhang, Jixiong Xie, Ting Su +7
Background: Recently, the popularity of dual-layer flat-panel detector (DL-FPD) based dual-energy cone-beam CT (DE-CBCT) imaging has been increasing. However, the image quality of…
Exploring Hybrid Question Answering via Program-based Prompting
Qi Shi, Han Cui, Haofeng Wang +3
Question answering over heterogeneous data requires reasoning over diverse sources of data, which is challenging due to the large scale of information and organic coupling of heter…
Reference-Free Image Quality Metric for Degradation and Reconstruction Artifacts
Han Cui, Alfredo De Goyeneche, Efrat Shimron +2
Image Quality Assessment (IQA) is essential in various Computer Vision tasks such as image deblurring and super-resolution. However, most IQA methods require reference images, whic…