research
∙
09/10/2023
SYSPART: Automated Temporal System Call Filtering for Binaries
Restricting the system calls available to applications reduces the attac...
share
research
∙
07/19/2023
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community
The research field of Information Retrieval (IR) has evolved significant...
research
∙
06/08/2023
Controllable Multi-Objective Re-ranking with Policy Hypernetworks
Multi-stage ranking pipelines have become widely used strategies in mode...
research
∙
05/05/2023
RECIPE: Rateless Erasure Codes Induced by Protocol-Based Encoding
LT (Luby transform) codes are a celebrated family of rateless erasure co...
research
∙
03/17/2023
A Dynamic Multi-Scale Voxel Flow Network for Video Prediction
The performance of video prediction has been greatly boosted by advanced...
research
∙
02/16/2023
Lattice piecewise affine approximation of explicit nonlinear model predictive control with application to trajectory tracking of mobile robot
To promote the widespread use of mobile robots in diverse fields, the pe...
research
∙
11/02/2022
PLATO-K: Internal and External Knowledge Enhanced Dialogue Generation
Recently, the practical deployment of open-domain dialogue systems has b...
research
∙
09/05/2022
A Brief History of Recommender Systems
Soon after the invention of the Internet, the recommender system emerged...
research
∙
07/09/2022
Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction
As an essential operation of legal retrieval, legal case matching plays ...
research
∙
06/30/2022
Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework
Tumor infiltration of the recurrent laryngeal nerve (RLN) is a contraind...
research
∙
06/20/2022
Dynamic Message Propagation Network for RGB-D Salient Object Detection
This paper presents a novel deep neural network framework for RGB-D sali...
research
∙
06/18/2022
Person-job fit estimation from candidate profile and related recruitment history with co-attention neural networks
Existing online recruitment platforms depend on automatic ways of conduc...
research
∙
05/08/2022
Semi-Cycled Generative Adversarial Networks for Real-World Face Super-Resolution
Real-world face super-resolution (SR) is a highly ill-posed image restor...
research
∙
04/26/2022
The Security War in File Systems: An Empirical Study from A Vulnerability-Centric Perspective
This paper presents a systematic study on the security of modern file sy...
research
∙
04/15/2022
Where to Go for the Holidays: Towards Mixed-Type Dialogs for Clarification of User Goals
Most dialog systems posit that users have figured out clear and specific...
research
∙
04/13/2022
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma
Lung cancer is the leading cause of cancer death worldwide, and adenocar...
research
∙
03/14/2022
Building Embedded Systems Like It's 1996
Embedded devices are ubiquitous. However, preliminary evidence shows tha...
research
∙
03/05/2022
Fusion-Correction Network for Single-Exposure Correction and Multi-Exposure Fusion
The photographs captured by digital cameras usually suffer from over-exp...
research
∙
12/20/2021
A Multi-user Oriented Live Free-viewpoint Video Streaming System Based On View Interpolation
As an important application form of immersive multimedia services, free-...
research
∙
10/14/2021
On Efficient Range-Summability of IID Random Variables in Two or Higher Dimensions
d-dimensional efficient range-summability (dD-ERS) of a long list of ran...
research
∙
10/01/2021
Error-free approximation of explicit linear MPC through lattice piecewise affine expression
In this paper, the disjunctive and conjunctive lattice piecewise affine ...
research
∙
09/13/2021
A Dyadic Simulation Approach to Efficient Range-Summability
Efficient range-summability (ERS) of a long list of random variables is ...
research
∙
06/13/2021
NLHD: A Pixel-Level Non-Local Retinex Model for Low-Light Image Enhancement
Retinex model has been applied to low-light image enhancement in many ex...
research
∙
06/07/2021
A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech
In this paper, we present a neural model for joint dropped pronoun recov...
research
∙
05/11/2021
Proving LTL Properties of Bitvector Programs and Decompiled Binaries (Extended)
There is increasing interest in applying verification tools to programs ...
research
∙
05/08/2021
MetaKernel: Learning Variational Random Features with Limited Labels
Few-shot learning deals with the fundamental and challenging problem of ...
research
∙
04/21/2021
Temporal Modulation Network for Controllable Space-Time Video Super-Resolution
Space-time video super-resolution (STVSR) aims to increase the spatial a...
research
∙
04/07/2021
Towards Optimal Use of Exception Handling Information for Function Detection
Function entry detection is critical for security of binary code. Conven...
research
∙
03/10/2021
MP-RW-LSH: An Efficient Multi-Probe LSH Solution to ANNS in L_1 Distance
Approximate Nearest Neighbor Search (ANNS) is a fundamental algorithmic ...
research
∙
01/26/2021
Privacy-preserving Channel Estimation in Cell-free Hybrid Massive MIMO Systems
We consider a cell-free hybrid massive multiple-input multiple-output (M...
research
∙
12/31/2020
Discovering Dialog Structure Graph for Open-Domain Dialog Generation
Learning interpretable dialog structure from human-human dialogs yields ...
research
∙
12/24/2020
MobileSal: Extremely Efficient RGB-D Salient Object Detection
The high computational cost of neural networks has prevented recent succ...
research
∙
10/15/2020
Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains
One approach to matching texts from asymmetrical domains is projecting t...
research
∙
10/07/2020
Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields
Pronouns are often dropped in Chinese conversations and recovering the d...
research
∙
07/29/2020
Space- and Computationally-Efficient Set Reconciliation via Parity Bitmap Sketch (PBS)
Set reconciliation is a fundamental algorithmic problem that arises in m...
research
∙
07/28/2020
SoK: All You Ever Wanted to Know About x86/x64 Binary Disassembly But Were Afraid to Ask
Disassembly of binary code is hard, but necessary for improving the secu...
research
∙
07/25/2020
Variance Reduction for Deep Q-Learning using Stochastic Recursive Gradient
Deep Q-learning algorithms often suffer from poor gradient estimations w...
research
∙
07/15/2020
Learning to Learn with Variational Information Bottleneck for Domain Generalization
Domain generalization models learn to generalize to previously unseen do...
research
∙
07/05/2020
Auto-captions on GIF: A Large-scale Video-sentence Dataset for Vision-language Pre-training
In this work, we present Auto-captions on GIF, which is a new large-scal...
research
∙
07/03/2020
Interactive Knowledge Distillation
Knowledge distillation is a standard teacher-student learning framework ...
research
∙
06/11/2020
Learning to Learn Kernels with Variational Random Features
In this work, we introduce kernels with random Fourier features in the m...
research
∙
04/30/2020
Bilateral Attention Network for RGB-D Salient Object Detection
Most existing RGB-D salient object detection (SOD) methods focus on the ...
research
∙
04/28/2020
Gradient-Induced Co-Saliency Detection
Co-saliency detection (Co-SOD) aims to segment the common salient foregr...
research
∙
04/23/2020
Conditional Variational Image Deraining
Image deraining is an important yet challenging image processing task. T...
research
∙
04/21/2020
On the ideal shortest vector problem over random rational primes
Any ideal in a number field can be factored into a product of prime idea...
research
∙
04/15/2020
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation
Recently, the novel coronavirus 2019 (COVID-19) has caused a pandemic di...
research
∙
03/21/2020
An Empirical Study on Benchmarks of Artificial Software Vulnerabilities
Recently, various techniques (e.g., fuzzing) have been developed for vul...
research
∙
03/10/2020
Deep Hough Transform for Semantic Line Detection
In this paper, we put forward a simple yet effective method to detect me...
research
∙
01/24/2020
Privacy for All: Demystify Vulnerability Disparity of Differential Privacy against Membership Inference Attack
Machine learning algorithms, when applied to sensitive data, pose a pote...
research
∙
12/12/2019