Publications (32)
MambaPupil: Bidirectional Selective Recurrent model for Event-based Eye tracking
Zhong Wang, Zengyu Wan, Han Han +5
Event-based eye tracking has shown great promise with the high temporal resolution and low redundancy provided by the event camera. However, the diversity and abruptness of eye mov…
QUEST: Query Optimization in Unstructured Document Analysis
Zhaoze Sun, Qiyan Deng, Chengliang Chai +6
Most recently, researchers have started building large language models (LLMs) powered data systems that allow users to analyze unstructured text documents like working with a datab…
Learning to Solve Inverse Problems for Perceptual Sound Matching
Han Han, Vincent Lostanlen, Mathieu Lagrange
Perceptual sound matching (PSM) aims to find the input parameters to a synthesizer so as to best imitate an audio target. Deep learning for PSM optimizes a neural network to analyz…
Double-Side Polarization and Beamforming Alignment in Polarization Reconfigurable MISO System with Deep Neural Networks
Seungcheol Oh, Han Han, Joongheon Kim +1
Polarization reconfigurable (PR) antennas enhance spectrum and energy efficiency between next-generation node B(gNB) and user equipment (UE). This is achieved by tuning the polariz…
Event-Based Eye Tracking. 2025 Event-based Vision Workshop
Qinyu Chen, Chang Gao, Min Liu +29
This survey serves as a review for the 2025 Event-Based Eye Tracking Challenge organized as part of the 2025 CVPR event-based vision workshop. This challenge focuses on the task of…
Saturation of ion irradiation effects in Cr2AlC
Qing Huang, Han Han, Renduo Liu +3
Cr2AlC materials were irradiated with 7 MeV Xe26+ ions and 500 keV He2+ ions at room temperature. A structural transition with an increased c lattice parameter and a decreased a la…
Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization
Kuan Zhang, Chengliang Chai, Jingzhe Xu +5
Recent studies indicate that deep neural networks degrade in generalization performance under noisy supervision. Existing methods focus on isolating clean subsets or correcting noi…
Differentiable Time-Frequency Scattering on GPU
John Muradeli, Cyrus Vahidi, Changhong Wang +4
Joint time-frequency scattering (JTFS) is a convolutional operator in the time-frequency domain which extracts spectrotemporal modulations at various rates and scales. It offers an…
Observation of Meisser effect in Kapton Tapes
Jie Jiang, Han Han, Wei Xia +4
Composed of organic compounds, Kapton tape is regularly used as a non-conducting and non-magnetic material in cryogenic experiments. Here we report the discovery of Meisser effect…
Musical Metamerism with Time--Frequency Scattering
Vincent Lostanlen, Han Han
The concept of metamerism originates from colorimetry, where it describes a sensation of visual similarity between two colored lights despite significant differences in spectral co…
Two-dimensional Ca-Cl crystals under ambient conditions observed directly by cryo-electron microscopy
Lei Zhang, Guosheng Shi, Bingquan Peng +14
Recently, we report the direct observation, under ambient conditions, of Na2Cl and Na3Cl as two-dimensional (2D) Na-Cl crystals, together with regular NaCl, on reduced graphene oxi…
NesTools: A Dataset for Evaluating Nested Tool Learning Abilities of Large Language Models
Han Han, Tong Zhu, Xiang Zhang +3
Large language models (LLMs) combined with tool learning have gained impressive results in real-world applications. During tool learning, LLMs may call multiple tools in nested ord…
Reconfigurable Intelligent Surface-induced Randomness for mmWave Key Generation
Shubo Yang, Han Han, Yihong Liu +3
Secret key generation in physical layer security exploits the unpredictable random nature of wireless channels. The millimeter-wave (mmWave) channels have limited multipath and cha…
Novel two-dimensional Ca-Cl crystals with metallicity, piezoelectric effect and room-temperature ferromagnetism
Lei Zhang, Guosheng Shi, Bingquan Peng +18
Recently we have reported the direct observation of two-dimensional (2D) Ca-Cl crystals on reduced graphene oxide (rGO) membranes, in which the calcium ions are only about monovale…
Polarization Reconfigurable Transmit-Receive Beam Alignment with Interpretable Transformer
Seungcheol Oh, Han Han, Joongheon Kim +1
Recent advancement in next generation reconfigurable antenna and fluid antenna technology has influenced the wireless system with polarization reconfigurable (PR) channels to attra…
Unbiased Gradient Estimation for Event Binning via Functional Backpropagation
Jinze Chen, Wei Zhai, Han Han +4
Event-based vision encodes dynamic scenes as asynchronous spatio-temporal spikes called events. To leverage conventional image processing pipelines, events are typically binned int…
Perceptual-Neural-Physical Sound Matching
Han Han, Vincent Lostanlen, Mathieu Lagrange
Sound matching algorithms seek to approximate a target waveform by parametric audio synthesis. Deep neural networks have achieved promising results in matching sustained harmonic t…
CeNiAsO: an antiferromagnetic dense Kondo lattice
Yongkang Luo, Han Han, Hao Tan +8
A cerium containing pnictide, CeNiAsO, crystallized in the ZrCuSiAs type structure, has been investigated by measuring transport and magnetic properties, as well as specific heat.…
wav2shape: Hearing the Shape of a Drum Machine
Han Han, Vincent Lostanlen
Disentangling and recovering physical attributes, such as shape and material, from a few waveform examples is a challenging inverse problem in audio signal processing, with numerou…
Event-Based Eye Tracking. AIS 2024 Challenge Survey
Zuowen Wang, Chang Gao, Zongwei Wu +36
This survey reviews the AIS 2024 Event-Based Eye Tracking (EET) Challenge. The task of the challenge focuses on processing eye movement recorded with event cameras and predicting t…
MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking
Han Han, Wei Zhai, Yang Cao +2
Tracking Any Point (TAP) plays a crucial role in motion analysis. Video-based approaches rely on iterative local matching for tracking, but they assume linear motion during the bli…
Seal-Tools: Self-Instruct Tool Learning Dataset for Agent Tuning and Detailed Benchmark
Mengsong Wu, Tong Zhu, Han Han +3
This paper presents a new tool learning dataset Seal-Tools, which contains self-instruct API-like tools. Seal-Tools not only offers a large number of tools, but also includes insta…
Evaluating Cognitive-Behavioral Fixation via Multimodal User Viewing Patterns on Social Media
Yujie Wang, Yunwei Zhao, Jing Yang +3
Digital social media platforms frequently contribute to cognitive-behavioral fixation, a phenomenon in which users exhibit sustained and repetitive engagement with narrow content d…
Fitting Auditory Filterbanks with Multiresolution Neural Networks
Vincent Lostanlen, Daniel Haider, Han Han +3
Waveform-based deep learning faces a dilemma between nonparametric and parametric approaches. On one hand, convolutional neural networks (convnets) may approximate any linear time-…
Atomic Calligraphy: The Direct Writing of Nanoscale Structures using MEMS
Matthias Imboden, Han Han, Jackson Chang +4
We present a micro-electromechanical system (MEMS) based method for the resist free patterning of nano-structures. Using a focused ion beam (FIB) to customize larger MEMS machines,…
Mesostructures: Beyond Spectrogram Loss in Differentiable Time-Frequency Analysis
Cyrus Vahidi, Han Han, Changhong Wang +3
Computer musicians refer to mesostructures as the intermediate levels of articulation between the microstructure of waveshapes and the macrostructure of musical forms. Examples of…
Edge Approximation Text Detector
Chuang Yang, Xu Han, Tao Han +3
Pursuing efficient text shape representations helps scene text detection models focus on compact foreground regions and optimize the contour reconstruction steps to simplify the wh…
Chain-of-Tools: Utilizing Massive Unseen Tools in the CoT Reasoning of Frozen Language Models
Mengsong Wu, Tong Zhu, Han Han +3
Tool learning can further broaden the usage scenarios of large language models (LLMs). However most of the existing methods either need to finetune that the model can only use tool…
On Bayes' theorem for improper mixtures
Peter McCullagh, Han Han
Although Bayes's theorem demands a prior that is a probability distribution on the parameter space, the calculus associated with Bayes's theorem sometimes generates sensible proced…
Traffic Sign Interpretation in Real Road Scene
Chuang Yang, Kai Zhuang, Mulin Chen +7
Most existing traffic sign-related works are dedicated to detecting and recognizing part of traffic signs individually, which fails to analyze the global semantic logic among signs…
Surviving Partial Rank Failures in Wide Expert-Parallel MoE Inference
Xun Sun, Shaoyuan Chen, Pingchuan Ma +18
Mixture-of-Experts (MoE) serving relies on wide expert parallelism (EP) to aggregate the memory capacity and bandwidth of many GPUs within one inference instance. This efficiency c…
Active Sensing for Multiuser Beam Tracking with Reconfigurable Intelligent Surface
Han Han, Tao Jiang, Wei Yu
This paper studies a beam tracking problem in which an access point (AP), in collaboration with a reconfigurable intelligent surface (RIS), dynamically adjusts its downlink beamfor…