Qi Zhang

Hashtag recommendation using attention-based convolutional neural network

2016 · International Joint Conference on Artificial Intelligence

Along with the increasing requirements, the hashtag recommendation task for microblogs has been receiving considerable attention in recent years. Various researchers have studied the problem from different aspects. However, most of these methods usually need …

Hashtag Recommendation for Multimodal Microblog Using Co-Attention Network

2017

In microblogging services, authors can use hashtags to mark keywords or topics. Many live social media applications (e.g., microblog retrieval, classification) can gain great benefits from these manually labeled tags. However, only a small portion …

A Learning Error Analysis for Structured Prediction with Approximate Inference

2017 · Neural Information Processing Systems

In this work, we try to understand the differences between exact and approximate inference algorithms in structured prediction. We compare the estimation and approximation error of both underestimate and overestimate models. The result shows that, …

Weighed Domain-Invariant Representation Learning for Cross-domain Sentiment Analysis

2019 · arXiv (Cornell University)

Cross-domain sentiment analysis is currently a hot topic in the research and engineering areas. One of the most popular frameworks in this field is the domain-invariant representation learning (DIRL) paradigm, which aims to learn a …

Public Cloud Security Protection Research

2019

With the rapid development of cloud computing, public cloud as the main form, the attack value is higher, and security is more difficult. This paper expounds the background and concept of public cloud. Starting from …

RethinkCWS: Is Chinese Word Segmentation a Solved Task?

2020

The performance of the Chinese Word Segmentation (CWS) systems has gradually reached a plateau with the rapid development of deep neural networks, especially the successful use of large pre-trained models. In this paper, we take …

RMBERT: News Recommendation via Recurrent Reasoning Memory Network over BERT

2021

Personalized news recommendation aims to alleviate information overload and help users find news of their interests. Accurately matching candidate news and users' interests is the key to news recommendation. Most existing methods separately encode each …

UNBERT: User-News Matching BERT for News Recommendation

2021

Nowadays, news recommendation has become a popular channel for users to access news of their interests. How to represent rich textual contents of news and precisely match users' interests and candidate news lies in the …

An Effective Way for Cross-Market Recommendation with Hybrid Pre-Ranking and Ranking Models

2022 · arXiv (Cornell University)

The Cross-Market Recommendation task of WSDM CUP 2022 is about finding solutions to improve individual recommendation systems in resource-scarce target markets by leveraging data from similar high-resource source markets. Finally, our team OPDAI won the …

Geometric Disentangled Collaborative Filtering

2022 · Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Learning informative representations of users and items from the historical interactions is crucial to collaborative filtering (CF). Existing CF approaches usually model interactions solely within the Euclidean space. However, the sophisticated user-item interactions inherently present …

Pooling Method Based on Edge Contraction for Graph Convolution Networks

2022 · 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

In recent years, various graph pooling methods have been proposed, and the existing edge pooling methods have some problems. Edge pooling aggregates nodes by removing edges while considering some node characteristics. However, edge pooling ignores …

C4

2022

During software development, developers introduce code clones by reusing existing code to improve programming productivity. Considering the detrimental effects on software maintenance and evolution, many techniques are proposed to detect code clones. Existing approaches are …

Design of China's intangible cultural heritage inheritance and protection system based on intelligent media technology

2023

Intangible cultural heritage plays an irreplaceable role in the process of national cultural and economic development. The key factor to solve the problem of intangible cultural heritage protection is to solve the problem of "dissemination". …

Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer?

2022

Multilingual BERT (mBERT) has demonstrated considerable cross-lingual syntactic ability, whereby it enables effective zero-shot cross-lingual transfer of syntactic knowledge. The transfer is more successful between some languages, but it is not well understood what leads …

A Self-Organized Mapping Neural Network-Based Intelligent Evaluation Model for Business Capacity in Enterprise Management

2023 · IEEE Access

In era of big data, the integration of deep learning with enterprise management has been an inevitable requirement. However, scenarios of enterprise management vary with ever-changing entities, without fixed problem format. This makes it difficult …

Investigating Behavioural Intention Toward Adopting Artificial Intelligence Service Robots Technology in Hospitality in China

2023 · Environment-Behaviour Proceedings Journal

The pandemic accelerated the blooming of service robots in the hospitality industry in recent years in China. The researcher drew upon extended UTAUT2 theory and satisfaction to construct the conceptual framework and spent time on …

CausalABSC: Causal Inference for Aspect Debiasing in Aspect-Based Sentiment Classification

2023 · IEEE/ACM Transactions on Audio Speech and Language Processing

As the primary subtask of sentiment analysis, aspect-based sentiment classification (ABSC) aims to predict the sentiment polarity for a given aspect. While recent deep neural models for ABSC have shown good performance, their robustness is …

Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining

2023

Jingcong Liang, Rong Ye, Meng Han, Qi Zhang, Ruofei Lai, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Zhongyu Wei. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.

LLaMA Beyond English: An Empirical Study on Language Capability Transfer

2024 · arXiv (Cornell University)

In recent times, substantial advancements have been witnessed in large language models (LLMs), exemplified by ChatGPT, showcasing remarkable proficiency across a range of complex tasks. However, many mainstream LLMs (e.g. LLaMA) are pretrained on English-dominant …

AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models

2024 · arXiv (Cornell University)

Verbatim feedback constitutes a valuable repository of user experiences, opinions, and requirements essential for software development. Effectively and efficiently extracting valuable insights from such data poses a challenging task. This paper introduces Allhands , an …

An overview of implementing security and privacy in federated learning

2024 · Artificial Intelligence Review

Abstract Federated learning has received a great deal of research attention recently,with privacy protection becoming a key factor in the development of artificial intelligence. Federated learning is a special kind of distributed learning framework, which …

P4: Plug-and-Play Discrete Prompting for Large Language Models Personalization

2024

Empowering Large Language Models (LLMs) with distinct human-like personality traits has become an innovative task for developing advanced dialog systems.Although LLMs demonstrate impressive capabilities in following instructions, directly prompting them to exhibit certain personalities through …

HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decomposition

2024

Yuxuan Liu, Tianchi Yang, Shaohan Huang, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2024.

A Multi-modal Modeling Framework for Cold-start Short-video Recommendation

2024

Short video has witnessed rapid growth in the past few years in multimedia platforms. To ensure the freshness of the videos, platforms receive a large number of user-uploaded videos every day, making collaborative filtering-based recommender …

MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning

2024 · arXiv (Cornell University)

Parameter-efficient fine-tuning (PEFT) has been widely employed for domain adaptation, with LoRA being one of the most prominent methods due to its simplicity and effectiveness. However, in multi-task learning (MTL) scenarios, LoRA tends to obscure …

Missing Interest Modeling with Lifelong User Behavior Data for Retrieval Recommendation

2024

Rich user behavior data has been proven to be of great value for recommendation systems. Modeling lifelong user behavior data in the retrieval stage to explore user long-term preference and obtain comprehensive retrieval results is …

Cross Dense Feature Learning With Task Guidance for Few-Shot Classification

2024 · IEEE Transactions on Circuits and Systems for Video Technology

Few-shot classification aims to develop a classifier that adapts to new tasks using only a limited number of labeled images. To overcome the limitation of lacking training images in few-shot image classification, dense features have …

Dynamic Semantic Compression for CNN Inference in Multi-Access Edge Computing: A Graph Reinforcement Learning-Based Autoencoder

2024 · IEEE Transactions on Wireless Communications

This paper studies the computational offloading of CNN inference in dynamic multi-access edge computing (MEC) networks. To address the uncertainties in communication time and edge servers’ available capacity, we propose a novel semantic compression method, …

Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation

2025 · arXiv (Cornell University)

The advancement of large language models has intensified the need to modernize enterprise applications and migrate legacy systems to secure, versatile languages. However, existing code translation benchmarks primarily focus on individual functions, overlooking the complexities …

Fully passive quantum key distribution with parametric down-conversion source

2025 · arXiv (Cornell University)

The fully passive source is capable of passively generating decoy states and performing passive encoding simultaneously, avoiding the side-channel risks caused by active modulation operations at the source end, thus effectively enhance the security in …

Pre-Trained Policy Discriminators are General Reward Models

2025

We offer a novel perspective on reward modeling by formulating it as a policy discriminator, which quantifies the difference between two policies to generate a reward signal, guiding the training policy towards a target policy …

The Power of the Lorentz Quantum Computer

2026 · Entropy

We analyze the power of the recently proposed Lorentz quantum computer (LQC), a theoretical model leveraging hyperbolic bits (hybits) governed by complex Lorentz transformations. We define the complexity class BLQP (bounded-error Lorentz quantum polynomial-time) and …

Adaptive Co-attention Network for Named Entity Recognition in Tweets

2018 · Proceedings of the AAAI Conference on Artificial Intelligence

In this study, we investigate the problem of named entity recognition for tweets. Named entity recognition is an important task in natural language processing and has been carefully studied in recent decades. Previous named entity …

CNN-Based Chinese NER with Lexicon Rethinking

2019

Character-level Chinese named entity recognition (NER) that applies long short-term memory (LSTM) to incorporate lexicons has achieved great success. However, this method fails to fully exploit GPU parallelism and candidate lexicons can conflict. In this …

A Lexicon-Based Graph Neural Network for Chinese NER

2019

Tao Gui, Yicheng Zou, Qi Zhang, Minlong Peng, Jinlan Fu, Zhongyu Wei, Xuanjing Huang. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language …

PromptBERT: Improving BERT Sentence Embeddings with Prompts

2022

Ting Jiang, Jian Jiao, Shaohan Huang, Zihan Zhang, Deqing Wang, Fuzhen Zhuang, Furu Wei, Haizhen Huang, Denvy Deng, Qi Zhang. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 2022.