Publications (166)
Flow Guided Short-term Trackers with Cascade Detection for Long-term Tracking
Han Wu, Xueyuan Yang, Yong Yang +1
Object tracking has been studied for decades, but most of the existing works are focused on the short-term tracking. For a long sequence, the object is often fully occluded or out…
Weather conditions several hours before the strong earthquake
Tao Chen, Lei Li, Xiao-Xin Zhang +3
Physical phenomena observed before strong earthquake have been reported over centuries. Radon anomalies, electrical signals, water level changes, earthquake lights near the epicent…
CoinMagic: A Differential Privacy Framework for Ring Signature Schemes
Wangze Ni, Han Wu, Peng Cheng +4
By allowing users to obscure their transactions via including "mixins" (chaff coins), ring signature schemes have been widely used to protect a sender's identity of a transaction i…
On Weyl's Subconvex Bound for Cube-Free Hecke characters: Totally Real Case
Olga Balkanova, Dmitry Frolenkov, Han Wu
We prove a Weyl-type subconvex bound for cube-free level Hecke characters over totally real number fields. Our proof relies on an explicit inversion to Motohashi's formula. Schwart…
Cold-Start Active Correlation Clustering
Linus Aronsson, Han Wu, Morteza Haghir Chehreghani
We study active correlation clustering where pairwise similarities are not provided upfront and must be queried in a cost-efficient manner through active learning. Specifically, we…
Noise-Induced Randomization in Regression Discontinuity Designs
Dean Eckles, Nikolaos Ignatiadis, Stefan Wager +1
Regression discontinuity designs assess causal effects in settings where treatment is determined by whether an observed running variable crosses a pre-specified threshold. Here we…
Stacked conductive metal organic framework nanorods for high performance vacuum electronic devices
Zhengxin Guan, Jun Li, Han Wu +2
Metal-organic frameworks (MOFs) possessing many unique features have been utilized in several fields in recent years. However, their application in field emission (FE) vacuum elect…
Bias of Root Numbers for Hilbert Newforms of Cubic Level
Zhilin Luo, Qinghua Pi, Han Wu
We give a general formula of the bias of root numbers for Hilbert modular newforms of cubic level. Explicit calculation is given when the base field is $\mathbb{Q}, \mathbb{Q}(\sqr…
Merging Beyond: Streaming LLM Updates via Activation-Guided Rotations
Yuxuan Yao, Haonan Sheng, Qingsong Lv +11
The escalating scale of Large Language Models (LLMs) necessitates efficient adaptation techniques. Model merging has gained prominence for its efficiency and controllability. Howev…
RecGPT-V2 Technical Report
Chao Yi, Dian Chen, Gaoyang Guo +32
Large language models (LLMs) have demonstrated remarkable potential in transforming recommender systems from implicit behavioral pattern matching to explicit intent reasoning. Whil…
BPP-Search: Enhancing Tree of Thought Reasoning for Mathematical Modeling Problem Solving
Teng Wang, Wing-Yin Yu, Zhenqi He +8
LLMs exhibit advanced reasoning capabilities, offering the potential to transform natural language questions into mathematical models. However, existing open-source datasets in ope…
Flatband-Induced Itinerant Ferromagnetism in RbCoSe
Jianwei Huang, Zhicai Wang, Hongsheng Pang +8
CoSe (=K,Rb,Cs) is a homologue of the iron-based superconductor, FeSe. From a comprehensive study of RbCoSe via measurements of magnetization, tran…
One-shot Face Sketch Synthesis in the Wild via Generative Diffusion Prior and Instruction Tuning
Han Wu, Junyao Li, Kangbo Zhao +3
Face sketch synthesis is a technique aimed at converting face photos into sketches. Existing face sketch synthesis research mainly relies on training with numerous photo-sketch sam…
Sens-Merging: Sensitivity-Guided Parameter Balancing for Merging Large Language Models
Shuqi Liu, Han Wu, Bowei He +3
Recent advances in large language models have led to numerous task-specialized fine-tuned variants, creating a need for efficient model merging techniques that preserve specialized…
LDRNet: Enabling Real-time Document Localization on Mobile Devices
Han Wu, Holland Qian, Huaming Wu +1
While Identity Document Verification (IDV) technology on mobile devices becomes ubiquitous in modern business operations, the risk of identity theft and fraud is increasing. The id…
A Note on Spectral Analysis in Automorphic Representation Theory for : II
Han Wu
We generalize Zagiers work on regularized integral to the singular case in the adelic setting. We develop necessary tools of treating various singular cases of regularized triple p…
A Survey on Generative Recommendation: Data, Model, and Tasks
Min Hou, Le Wu, Yuxin Liao +6
Recommender systems serve as foundational infrastructure in modern information ecosystems, helping users navigate digital content and discover items aligned with their preferences.…
AFABench: A Generic Framework for Benchmarking Active Feature Acquisition
Valter Schütz, Han Wu, Reza Rezvan +2
In many real-world scenarios, acquiring all features of a data instance can be expensive or impractical due to monetary cost, latency, or privacy concerns. Active Feature Acquisiti…
Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling
Yuxuan Yao, Han Wu, Mingyang Liu +5
Large language models (LLMs) exhibit varying strengths and weaknesses across different tasks, prompting recent studies to explore the benefits of ensembling models to leverage thei…
A Note on Spectral Analysis for : I
Han Wu
We establish the Fourier inversion for the smooth vectors in over a number field , using minimal knowledge from automorphic representation t…
Activation-Guided Consensus Merging for Large Language Models
Yuxuan Yao, Shuqi Liu, Zehua Liu +6
Recent research has increasingly focused on reconciling the reasoning capabilities of System 2 with the efficiency of System 1. While existing training-based and prompt-based appro…
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network
Hao Wang, Tong Xu, Qi Liu +5
Recently, the Network Representation Learning (NRL) techniques, which represent graph structure via low-dimension vectors to support social-oriented application, have attracted wid…
Exponential Error Bounds for Information Bottleneck Source Coding Problems
Han Wu, Hamdi Joudeh
We study the information bottleneck (IB) source coding problem, also known as remote lossy source coding under logarithmic loss. Based on a rate-limited description of noisy observ…
Learning From Correctness Without Prompting Makes LLM Efficient Reasoner
Yuxuan Yao, Han Wu, Zhijiang Guo +6
Large language models (LLMs) have demonstrated outstanding performance across various tasks, yet they still exhibit limitations such as hallucination, unfaithful reasoning, and tox…
Adversarial Driving: Attacking End-to-End Autonomous Driving
Han Wu, Syed Yunas, Sareh Rowlands +2
As research in deep neural networks advances, deep convolutional networks become promising for autonomous driving tasks. In particular, there is an emerging trend of employing end-…
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…
Prime Geodesic Theorem for Arithmetic Compact Surfaces: Principal Congruence Case
Chenhao Tang, Han Wu, Jie Yang +1
We generalize Koyama's bound of the error term in the prime geodesic theorems to the principal congruence subgroups for quaternion algebras. Our method avoids the spectral s…
LoViC: Efficient Long Video Generation with Context Compression
Jiaxiu Jiang, Wenbo Li, Jingjing Ren +5
Despite recent advances in diffusion transformers (DiTs) for text-to-video generation, scaling to long-duration content remains challenging due to the quadratic complexity of self-…
Federated Learning for Tabular Data: Exploring Potential Risk to Privacy
Han Wu, Zilong Zhao, Lydia Y. Chen +1
Federated Learning (FL) has emerged as a potentially powerful privacy-preserving machine learning methodology, since it avoids exchanging data between participants, but instead exc…
Hour-scale persistent negative anomaly of atmospheric electrostatic field near the epicenter before earthquake
Tao Chen, Han Wu, Chi Wang +28
Although earthquake prediction is a big challenge in the world, some simple observational tools can capture many physical signals and demonstrate that an earthquake (EQ) may be for…
Radiation build-up and dissipation in random fiber laser
Shengtao Lin, Zinan Wang, Jiaojiao Zhang +3
Random fiber laser (RFL) is a complex physical system that arises from the distributed amplification and the intrinsic stochasticity of the fiber scattering. There has been widespr…
From Question Answering to Task Completion: A Survey on Agent System and Harness Design
Jianyuan Guo, Zhiwei Hao, Chengcheng Wang +14
LLM-based agents mark a shift from passive question answering to active task completion: they perceive environments, invoke tools, maintain state, and act over extended horizons. A…
Know Your Customer: Balancing Innovation and Regulation for Financial Inclusion
Karen Elliott, Kovila Coopamootoo, Edward Curran +8
Financial inclusion depends on providing adjusted services for citizens with disclosed vulnerabilities. At the same time, the financial industry needs to adhere to a strict regulat…
Thompson Sampling with Unrestricted Delays
Han Wu, Stefan Wager
We investigate properties of Thompson Sampling in the stochastic multi-armed bandit problem with delayed feedback. In a setting with i.i.d delays, we establish to our knowledge the…
Bridging Photon Statistics and Phase Transitions in Random Fiber Lasers
Yifei Qi, Runhao Li, Jie Li +6
Complex systems exhibit rich equilibrium states, yet the universal principles governing these systems remain unrevealed, motivating the search for novel experimental platforms. Ran…
On Joint Communication and Channel Discrimination
Han Wu, Hamdi Joudeh
We consider a basic communication and sensing setup comprising a transmitter, a receiver and a sensor. The transmitter sends an encoded sequence to the receiver through a discrete…
FastMIM: Expediting Masked Image Modeling Pre-training for Vision
Jianyuan Guo, Kai Han, Han Wu +3
The combination of transformers and masked image modeling (MIM) pre-training framework has shown great potential in various vision tasks. However, the pre-training computational bu…
LoRE-Merging: Exploring Low-Rank Estimation For Large Language Model Merging
Zehua Liu, Han Wu, Yuxuan Yao +4
While most current approaches rely on further training techniques, such as fine-tuning or reinforcement learning, to enhance model capacities, model merging stands out for its abil…
Deep Technology Tracing for High-tech Companies
Han Wu, Kun Zhang, Guangyi Lv +5
Technological change and innovation are vitally important, especially for high-tech companies. However, factors influencing their future research and development (R&D) trends are b…
Searching for heavy millicharged particles from the atmosphere
Han Wu, Edward Hardy, Ningqiang Song
If millicharged particles (MCPs) exist they can be created in the atmosphere when high energy cosmic rays collide with nuclei and could subsequently be detected at neutrino experim…
VCSUM: A Versatile Chinese Meeting Summarization Dataset
Han Wu, Mingjie Zhan, Haochen Tan +3
Compared to news and chat summarization, the development of meeting summarization is hugely decelerated by the limited data. To this end, we introduce a versatile Chinese meeting s…
Learning Locality and Isotropy in Dialogue Modeling
Han Wu, Haochen Tan, Mingjie Zhan +4
Existing dialogue modeling methods have achieved promising performance on various dialogue tasks with the aid of Transformer and the large-scale pre-trained language models. Howeve…
Spectral Evidence for Local-Moment Ferromagnetism in van der Waals Metals FeGaTe and FeGeTe
Han Wu, Chaowei Hu, Yaofeng Xie +26
Magnetism in two-dimensional (2D) materials has attracted considerable attention recently for both fundamental understanding of magnetism and their tunability towards device applic…
Genus one half stacky curves violating the local-global principle
Han Wu, Chang Lv
For any number field, we prove that there exists a stacky curve of genus one half defined over the ring of its integers violating the local-global principle for integral points.
In-plane polar domains enhanced energy storage
Yu Lei, Xiaoming Shi, Sihan Yan +16
Relaxor ferroelectric thin films are recognized for their ultrahigh power density, rendering them highly promising for energy storage applications in electrical and electronic syst…
A uniform Weyl bound for L-functions of Hilbert modular forms
Han Wu, Ping Xi
We establish a Weyl-type subconvexity of for spherical Hilbert newforms with level ideal , in which is required to be cube-fr…
Mid-infrared computational temporal ghost imaging
Han Wu, Bo Hu, Fei Peng +3
Ghost imaging in the time domain allows for reconstructing fast temporal objects using a slow photodetector. The technique involves correlating random or pre-programmed probing tem…
Learning Localization-aware Target Confidence for Siamese Visual Tracking
Jiahao Nie, Han Wu, Zhiwei He +3
Siamese tracking paradigm has achieved great success, providing effective appearance discrimination and size estimation by the classification and regression. While such a paradigm…
REG: A Regularization Optimizer for Robust Training Dynamics
Zehua Liu, Han Wu, Xiaojin Fu +4
Optimizers are crucial for the efficient training of Large Language Models (LLMs). While AdamW is the de facto standard, recent structure-aware optimizers like Muon have emerged, w…
VT-GAN: Cooperative Tabular Data Synthesis using Vertical Federated Learning
Zilong Zhao, Han Wu, Aad Van Moorsel +1
This paper presents the application of Vertical Federated Learning (VFL) to generate synthetic tabular data using Generative Adversarial Networks (GANs). VFL is a collaborative app…
Theoretical demonstration of mode transmission in ZGP-based micrometer waveguide platforms
Siyi Lu, Bo Hu, Xuemei Yang +3
Birefringence phase-matching based \c{hi}(2) ZnGeP2 (ZGP) waveguide platform has been recently reported for excellent mid-infrared laser generation. Here, a detailed theoretical ch…
Ensemble Method for Estimating Individualized Treatment Effects
Kevin Wu Han, Han Wu
In many medical and business applications, researchers are interested in estimating individualized treatment effects using data from a randomized experiment. For example in medical…
Non-Thermal Emergence of an Orbital-Selective Mott Phase in FeTeSe
Jianwei Huang, Rong Yu, Zhijun Xu +15
Electronic correlation is of fundamental importance to high temperature superconductivity. Iron-based superconductors are believed to possess moderate correlation strength, which c…
Central leaves in loop groups
Eva Viehmann, Han Wu
This paper analyses the finer structure of Newton strata in loop groups. These can be decomposed into so-called central leaves. We define them, and determine their global geometric…
A privacy-preserving distributed credible evidence fusion algorithm for collective decision-making
Chaoxiong Ma, Yan Liang, Xinyu Yang +2
The theory of evidence reasoning has been applied to collective decision-making in recent years. However, existing distributed evidence fusion methods lead to participants' prefere…
Impacts of Physical-Layer Information on Epidemic Spreading in Cyber-Physical Networked Systems
Xianglai Yuan, Yichao Yao, Han Wu +1
Since Granell et al. proposed a multiplex network for information and epidemic propagation, researchers have explored how information propagation affects epidemic dynamics. However…
Reversible Non-Volatile Electronic Switching in a Near Room Temperature van der Waals Ferromagnet
Han Wu, Lei Chen, Paul Malinowski +37
The ability to reversibly toggle between two distinct states in a non-volatile method is important for information storage applications. Such devices have been realized for phase-c…
Hybrid subconvexity and the partition function
Nickolas Andersen, Han Wu
We give an upper bound for the error term in the Hardy-Ramanujan-Rademacher formula for the partition function. The main input is a new hybrid subconvexity bound for the central va…
SIRST-5K: Exploring Massive Negatives Synthesis with Self-supervised Learning for Robust Infrared Small Target Detection
Yahao Lu, Yupei Lin, Han Wu +3
Single-frame infrared small target (SIRST) detection aims to recognize small targets from clutter backgrounds. Recently, convolutional neural networks have achieved significant adv…
MoEMeta: Mixture-of-Experts Meta Learning for Few-Shot Relational Learning
Han Wu, Jie Yin
Few-shot knowledge graph relational learning seeks to perform reasoning over relations given only a limited number of training examples. While existing approaches largely adopt a m…
SePO: Self-Evolving Prompt Agent for System Prompt Optimization
Wangcheng Tao, Han Wu, Weng-Fai Wong
System prompt optimization improves agent behavior without modifying the underlying model, yielding human-readable, model-agnostic instructions. Existing methods build a prompt age…
Non-invariance of weak approximation with Brauer-Manin obstruction for surfaces
Han Wu
In this paper, we study the property of weak approximation with Brauer-Manin obstruction for surfaces with respect to field extensions of number fields. For any nontrivial extensio…
The Brauer-Manin obstruction on algebraic stacks
Chang Lv, Han Wu
For algebraic stacks over number fields, we define their Brauer-Manin sets, Brauer-Manin pairings, and extend the descent theory of Colliot-Thélène and Sansuc. By extending Sansu…
Beyond Statistical Estimation: Differentially Private Individual Computation via Shuffling
Shaowei Wang, Changyu Dong, Xiangfu Song +4
In data-driven applications, preserving user privacy while enabling valuable computations remains a critical challenge. Technologies like differential privacy have been pivotal in…
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer
Ding Jia, Jianyuan Guo, Kai Han +4
Cross-modal transformers have demonstrated superiority in various vision tasks by effectively integrating different modalities. This paper first critiques prior token exchange meth…
Adversarial Detection: Attacking Object Detection in Real Time
Han Wu, Syed Yunas, Sareh Rowlands +2
Intelligent robots rely on object detection models to perceive the environment. Following advances in deep learning security it has been revealed that object detection models are v…
Domain-Adaptive Pretraining Methods for Dialogue Understanding
Han Wu, Kun Xu, Linfeng Song +3
Language models like BERT and SpanBERT pretrained on open-domain data have obtained impressive gains on various NLP tasks. In this paper, we probe the effectiveness of domain-adapt…
Joint Communication and Channel Discrimination
Han Wu, Hamdi Joudeh
We consider a basic joint communication and sensing setup comprising a transmitter, a receiver and a sensor. The transmitter sends a codeword to the receiver through a discrete mem…
Geometry-Aware Attenuation Learning for Sparse-View CBCT Reconstruction
Zhentao Liu, Yu Fang, Changjian Li +4
Cone Beam Computed Tomography (CBCT) plays a vital role in clinical imaging. Traditional methods typically require hundreds of 2D X-ray projections to reconstruct a high-quality 3D…
Explicit subconvexity for
Han Wu
We make the subconvex exponent for cuspidal representation in the work of Michel \& Venkatesh explicit. The result depends on an effective dependence on the `fixed'…
Privacy-Preserving Batch-based Task Assignment in Spatial Crowdsourcing with Untrusted Server
Maocheng Li, Jiachuan Wang, Libin Zheng +4
In this paper, we study the privacy-preserving task assignment in spatial crowdsourcing, where the locations of both workers and tasks, prior to their release to the server, are pe…
CLIP in Medical Imaging: A Survey
Zihao Zhao, Yuxiao Liu, Han Wu +8
Contrastive Language-Image Pre-training (CLIP), a simple yet effective pre-training paradigm, successfully introduces text supervision to vision models. It has shown promising resu…
A Human-in-the-Middle Attack against Object Detection Systems
Han Wu, Sareh Rowlands, Johan Wahlstrom
Object detection systems using deep learning models have become increasingly popular in robotics thanks to the rising power of CPUs and GPUs in embedded systems. However, these mod…
RouteMoA: Dynamic Routing without Pre-Inference Boosts Efficient Mixture-of-Agents
Jize Wang, Han Wu, Zhiyuan You +9
Mixture-of-Agents (MoA) improves LLM performance through layered collaboration, but its dense topology raises costs and latency. Existing methods employ LLM judges to filter respon…
Reconstruct Before Summarize: An Efficient Two-Step Framework for Condensing and Summarizing Meeting Transcripts
Haochen Tan, Han Wu, Wei Shao +5
Meetings typically involve multiple participants and lengthy conversations, resulting in redundant and trivial content. To overcome these challenges, we propose a two-step framewor…
Arithmetic of Chatelet surfaces under extensions of base fields
Han Wu
For Châtelet surfaces defined over number fields, we study two arithmetic properties, the Hasse principle and weak approximation, when passing to an extension of the base field. G…
Châtelet surfaces and non-invariance of the Brauer-Manin obstruction for -folds
Han Wu
In this paper, we construct three kinds of Châtelet surfaces, which have some given arithmetic properties with respect to field extensions of number fields. We then use these cons…
Comparing local-global obstructions on algebraic stacks
Chang Lv, Han Wu, Xucheng Zhang
For quotient stacks [X/G] with X a smooth quasi-projective geometrically integral k-variety and G a linear k-group, where k is a number field, we extend some relations between loca…
ReaSeq: Unleashing World Knowledge via Reasoning for Sequential Modeling
Jiakai Tang, Chuan Wang, Gaoming Yang +31
Industrial recommender systems face two fundamental limitations under the log-driven paradigm: (1) knowledge poverty in ID-based item representations that causes brittle interest m…
Voronoi-Hankel Transforms
Zhefeng Shen, Han Wu
We prove that the -Fourier transform introduced by Jiang--Luo and the Voronoi--Hankel transform for introduced by the last author are essentially the same one. We give a s…
Ultralarge polarization in ferroelectric hafnia-based thin films
Han Wu, Kun Lin, Qinghua Zhang +15
Hafnia-based ferroelectrics have become a valuable class of electronic functional materials at the nanoscale, showing great potential for next-generation memory and logic devices.…
On genus one curves violating the local-global principle
Han Wu
For any number field not containing $\QQ(i),$ we give an explicit construction to prove that there exists an elliptic curve defined over this field such that its Shafarevich-Tate g…
Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging
Han Wu, Yuxuan Yao, Shuqi Liu +7
The transition from System 1 to System 2 reasoning in large language models (LLMs) has marked significant advancements in handling complex tasks through deliberate, iterative think…
Bridging the Skill Gap in Clinical CBCT Interpretation with CBCTRepD
Qinxin Wu, Fucheng Niu, Hengchuan Zhu +9
Generative AI has advanced rapidly in medical report generation; however, its application to oral and maxillofacial CBCT reporting remains limited, largely because of the scarcity…
Adapting Foundation Model for Dental Caries Detection with Dual-View Co-Training
Tao Luo, Han Wu, Tong Yang +2
Accurate dental caries detection from panoramic X-rays plays a pivotal role in preventing lesion progression. However, current detection methods often yield suboptimal accuracy due…
Strong Converse Exponent for Remote Lossy Source Coding
Han Wu, Hamdi Joudeh
Past works on remote lossy source coding studied the rate under average distortion and the error exponent of excess distortion probability. In this work, we look into how fast the…
An Efficient LLM-based Evolutional Recommendation with Locate-Forget-Update Paradigm
Hao Liu, Le Wu, Min Hou +4
Nowadays, Large Language Models (LLMs) have shown exceptional performance in sequential recommendations, and the adoption of LLM-based recommender systems (LLMRec) is becoming incr…
Meta-Semantics Augmented Few-Shot Relational Learning
Han Wu, Jie Yin
Few-shot relational learning on knowledge graph (KGs) aims to perform reasoning over relations with only a few training examples. While current methods have focused primarily on le…
RoRA: Role-Oriented Regional Allocation for Visual Token Pruning in MLLMs
Qiyanhui Lu, Han Wu, Rongjian Xu +6
Multimodal large language models (MLLMs) encode images as long visual token sequences, making prefilling and KV-cache storage expensive. Existing training-free pruning methods sele…
Tate-Shafarevich groups of elliptic curves with nontrivial 2-torsion subgroups
Han Wu
For any number field, we prove that there exists an elliptic curve defined over this field such that its Shafarevich-Tate group has a nontrivial 2-torsion subgroup.
Multi-View Vertebra Localization and Identification from CT Images
Han Wu, Jiadong Zhang, Yu Fang +4
Accurately localizing and identifying vertebrae from CT images is crucial for various clinical applications. However, most existing efforts are performed on 3D with cropping patch…
CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role Labeling
Han Wu, Kun Xu, Linqi Song
Conversational semantic role labeling (CSRL) is believed to be a crucial step towards dialogue understanding. However, it remains a major challenge for existing CSRL parser to hand…
A Unified Kullback--Leibler Divergence Analysis of Generative Diffusion Models via Entropy Production Rate
Han Wu, Zhiwen Zhang
We introduce a unified framework for the error analysis of generative models based on the entropy production rate of the forward-reverse diffusion process pair. For a pair of conti…
Preserving LLM Capabilities through Calibration Data Curation: From Analysis to Optimization
Bowei He, Lihao Yin, Huiling Zhen +5
Post-training compression has been a widely employed approach to scale down large language model (LLM) and facilitate efficient inference. In various proposed compression methods,…
Non-invariance of the Brauer-Manin obstruction for surfaces
Han Wu
In this paper, we study the properties of weak approximation with Brauer-Manin obstruction and the Hasse principle with Brauer-Manin obstruction for surfaces with respect to field…
A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence Embeddings
Haochen Tan, Wei Shao, Han Wu +2
Contrastive learning has shown great potential in unsupervised sentence embedding tasks, e.g., SimCSE. However, We find that these existing solutions are heavily affected by superf…
Hire-MLP: Vision MLP via Hierarchical Rearrangement
Jianyuan Guo, Yehui Tang, Kai Han +5
Previous vision MLPs such as MLP-Mixer and ResMLP accept linearly flattened image patches as input, making them inflexible for different input sizes and hard to capture spatial inf…
Subconvex bounds for compact toric integrals
Han Wu
We generalize our method for subconvex bounds for to the setting of the Waldspurger's formula for compact torical integrals. We address the two…
Towards Versatile and Efficient Visual Knowledge Integration into Pre-trained Language Models with Cross-Modal Adapters
Xinyun Zhang, Haochen Tan, Han Wu +1
Humans learn language via multi-modal knowledge. However, due to the text-only pre-training scheme, most existing pre-trained language models (PLMs) are hindered from the multi-mod…
Distilling Object Detectors via Decoupled Features
Jianyuan Guo, Kai Han, Yunhe Wang +4
Knowledge distillation is a widely used paradigm for inheriting information from a complicated teacher network to a compact student network and maintaining the strong performance.…