b'Zheng Li'

research

∙ 08/29/2023

Large Language Models in Fault Localisation

Large Language Models (LLMs) have shown promise in multiple software eng...

0 Yonghao Wu, et al. ∙

research

∙ 08/26/2023

Packet Header Recognition Utilizing an All-Optical Reservoir Based on Reinforcement-Learning-Optimized Double-Ring Resonator

Optical packet header recognition is an important signal processing task...

0 Zheng Li, et al. ∙

research

∙ 08/23/2023

RemovalNet: DNN Fingerprint Removal Attacks

With the performance of deep neural networks (DNNs) remarkably improving...

0 Hongwei Yao, et al. ∙

research

∙ 08/23/2023

Adaptive Encoding Strategies for Erasing-Based Lossless Floating-Point Compression

Lossless floating-point time series compression is crucial for a wide ra...

0 Ruiyuan Li, et al. ∙

research

∙ 07/19/2023

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation

Modeling customer shopping intentions is a crucial task for e-commerce, ...

0 Wei Jin, et al. ∙

research

∙ 07/05/2023

Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels

Generating an informative and attractive title for the product is a cruc...

0 Bang Yang, et al. ∙

research

∙ 06/28/2023

Erasing-based lossless compression method for streaming floating-point time series

There are a prohibitively large number of floating-point time series dat...

0 Ruiyuan Li, et al. ∙

research

∙ 06/20/2023

FDINet: Protecting against DNN Model Extraction via Feature Distortion Index

Machine Learning as a Service (MLaaS) platforms have gained popularity d...

0 Hongwei Yao, et al. ∙

research

∙ 06/02/2023

Knowledge Graph Reasoning over Entities and Numerical Values

A complex logic query in a knowledge graph refers to a query expressed i...

0 Jiaxin Bai, et al. ∙

research

∙ 06/01/2023

When Edge Computing Meets Compact Data Structures

Edge computing enables data processing and storage closer to where the d...

0 Zheng Li, et al. ∙

research

∙ 06/01/2023

Characterizing the Cloud's Outbound Network Latency: An Experimental and Modeling Study

Cloud latency has critical influences on the success of cloud applicatio...

0 Zheng Li, et al. ∙

research

∙ 05/30/2023

Graph Reasoning for Question Answering with Triplet Retrieval

Answering complex questions often requires reasoning over knowledge grap...

0 Shiyang Li, et al. ∙

research

∙ 05/26/2023

Integrating Listwise Ranking into Pairwise-based Image-Text Retrieval

Image-Text Retrieval (ITR) is essentially a ranking problem. Given a que...

0 Zheng Li, et al. ∙

research

∙ 05/19/2023

CCGen: Explainable Complementary Concept Generation in E-Commerce

We propose and study Complementary Concept Generation (CCGen): given a c...

0 Jie Huang, et al. ∙

research

∙ 05/11/2023

GeoGLUE: A GeoGraphic Language Understanding Evaluation Benchmark

With a fast developing pace of geographic applications, automatable and ...

0 Dongyang Li, et al. ∙

research

∙ 05/03/2023

SCOTT: Self-Consistent Chain-of-Thought Distillation

Large language models (LMs) beyond a certain scale, demonstrate the emer...

5 Peifeng Wang, et al. ∙

research

∙ 03/27/2023

Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning

This paper investigates cross-lingual temporal knowledge graph reasoning...

0 Ruijie Wang, et al. ∙

research

∙ 03/08/2023

Distributed and Deep Vertical Federated Learning with Big Data

In recent years, data are typically distributed in multiple organization...

0 Ji Liu, et al. ∙

research

∙ 03/03/2023

Rotation Invariant Quantization for Model Compression

Post-training Neural Network (NN) model compression is an attractive app...

0 Joseph Kampeas, et al. ∙

research

∙ 03/01/2023

Selectively Hard Negative Mining for Alleviating Gradient Vanishing in Image-Text Matching

Recently, a series of Image-Text Matching (ITM) methods achieve impressi...

0 Zheng Li, et al. ∙

research

∙ 02/19/2023

HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers

Knowledge distillation has been shown to be a powerful model compression...

0 Chen Liang, et al. ∙

research

∙ 12/20/2022

ReCode: Robustness Evaluation of Code Generation Models

Code generation models have achieved impressive performance. However, th...

0 Shiqi Wang, et al. ∙

research

∙ 11/16/2022

Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering

Few-Shot Text Classification (FSTC) imitates humans to learn a new text ...

0 Juan Zha, et al. ∙

research

∙ 11/02/2022

Safety-centric and Smart Outdoor Workplace: A New Research Direction and Its Technical Challenges

Despite the fact that outside is becoming the frontier of indoor workpla...

0 Zheng Li, et al. ∙

research

∙ 11/01/2022

On Kubernetes-aided Federated Database Systems

Cloud computing has made federated database systems (FDBS) significantly...

0 Zheng Li, et al. ∙

research

∙ 11/01/2022

Academic Search Engines: Constraints, Bugs, and Recommendation

Background: Academic search engines (i.e., digital libraries and indexer...

0 Zheng Li, et al. ∙

research

∙ 10/20/2022

Image-Text Retrieval with Binary and Continuous Label Supervision

Most image-text retrieval work adopts binary labels indicating whether a...

0 Zheng Li, et al. ∙

research

∙ 10/16/2022

Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs

In this paper, we investigate a realistic but underexplored problem, cal...

0 Ruijie Wang, et al. ∙

research

∙ 10/08/2022

Short Text Pre-training with Extended Token Classification for E-commerce Query Understanding

E-commerce query understanding is the process of inferring the shopping ...

7 Haoming Jiang, et al. ∙

research

∙ 09/28/2022

Unified Loss of Pair Similarity Optimization for Vision-Language Retrieval

There are two popular loss functions used for vision-language retrieval,...

0 Zheng Li, et al. ∙

research

∙ 09/20/2022

Quasi-Perron-Frobenius property of a class of saddle point matrices

The saddle point matrices arising from many scientific computing fields ...

0 Zheng Li, et al. ∙

research

∙ 09/01/2022

Sparse Attention Acceleration with Synergistic In-Memory Pruning and On-Chip Recomputation

As its core computation, a self-attention mechanism gauges pairwise corr...

0 Amir Yazdanbakhsh, et al. ∙

research

∙ 08/30/2022

FDB: Fraud Dataset Benchmark

Standardized datasets and benchmarks have spurred innovations in compute...

0 Prince Grover, et al. ∙

research

∙ 07/29/2022

Towards Reproducible Evaluations for Flying Drone Controllers in Virtual Environments

Research attention on natural user interfaces (NUIs) for drone flights a...

0 Zheng Li, et al. ∙

research

∙ 06/15/2022

Condensing Graphs via One-Step Gradient Matching

As training deep learning models on large dataset takes a lot of time an...

12 Wei Jin, et al. ∙

research

∙ 05/31/2022

Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images

Computer-aided diagnosis (CAD) can help pathologists improve diagnostic ...

10 Jun Shi, et al. ∙

research

∙ 05/21/2022

Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training

Keyphrase generation is the task of automatically predicting keyphrases ...

0 Yifan Gao, et al. ∙

research

∙ 04/07/2022

Accelerating Attention through Gradient-Based Learned Runtime Pruning

Self-attention is a key enabler of state-of-art accuracy for various tra...

7 Zheng Li, et al. ∙

research

∙ 03/28/2022

Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment

Predicting missing facts in a knowledge graph (KG) is crucial as modern ...

0 Zijie Huang, et al. ∙

research

∙ 03/21/2022

DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization

Large-scale pre-trained sequence-to-sequence models like BART and T5 ach...

0 Zheng Li, et al. ∙

research

∙ 03/18/2022

Multi-Modal Causal Inference with Deep Structural Equation Models

Accounting for the effects of confounders is one of the central challeng...

0 Shachi Deshpande, et al. ∙

research

∙ 02/12/2022

RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph

With the increasing demands on e-commerce platforms, numerous user actio...

0 Ruijie Wang, et al. ∙

research

∙ 01/24/2022

Just Enough, Just in Time, Just for "Me": Fundamental Principles for Engineering IoT-native Software Systems

By seamlessly integrating everyday objects and by changing the way we in...

0 Zheng Li, et al. ∙

research

∙ 01/10/2022

Opportunities of Hybrid Model-based Reinforcement Learning for Cell Therapy Manufacturing Process Development and Control

Driven by the key challenges of cell therapy manufacturing, including hi...

0 Hua Zheng, et al. ∙

research

∙ 11/27/2021

FQ-ViT: Fully Quantized Vision Transformer without Retraining

Network quantization significantly reduces model inference complexity an...

0 Yang Lin, et al. ∙

research

∙ 10/10/2021

3D Object Detection Combining Semantic and Geometric Features from Point Clouds

In this paper, we investigate the combination of voxel-based methods and...

0 Hao Peng, et al. ∙

research

∙ 08/19/2021

QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction

We study the problem of query attribute value extraction, which aims to ...

11 Danqing Zhang, et al. ∙

research

∙ 08/04/2021

Online Knowledge Distillation for Efficient Pose Estimation

Existing state-of-the-art human pose estimation methods require heavy co...

0 Zheng Li, et al. ∙

research

∙ 07/23/2021

OLR 2021 Challenge: Datasets, Rules and Baselines

This paper introduces the sixth Oriental Language Recognition (OLR) 2021...

4 Binling Wang, et al. ∙

research

∙ 07/17/2021

Throughput Maximization of UAV Networks

In this paper we study the deployment of multiple unmanned aerial vehicl...

0 Wenzheng Xu, et al. ∙

Zheng Li

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