Zhongyu Wei

Orcid: 0000-0003-3789-8507

According to our database1, Zhongyu Wei authored at least 156 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Unifying Structure Reasoning and Language Pre-Training for Complex Reasoning Tasks.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Debatrix: Multi-dimensinal Debate Judge with Iterative Chronological Analysis Based on LLM.
CoRR, 2024

ALaRM: Align Language Models via Hierarchical Rewards Modeling.
CoRR, 2024

Android in the Zoo: Chain-of-Action-Thought for GUI Agents.
CoRR, 2024

Unveiling the Truth and Facilitating Change: Towards Agent-based Large-scale Social Movement Simulation.
CoRR, 2024

SoMeLVLM: A Large Vision Language Model for Social Media Processing.
CoRR, 2024

Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation.
CoRR, 2024

Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs.
CoRR, 2024

AI Hospital: Interactive Evaluation and Collaboration of LLMs as Intern Doctors for Clinical Diagnosis.
CoRR, 2024

CauESC: A Causal Aware Model for Emotional Support Conversation.
CoRR, 2024

Human vs. LMMs: Exploring the Discrepancy in Emoji Interpretation and Usage in Digital Communication.
CoRR, 2024

Value at Adversarial Risk: A Graph Defense Strategy against Cost-Aware Attacks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
DxFormer: a decoupled automatic diagnostic system based on decoder-encoder transformer with dense symptom representations.
Bioinform., January, 2023

A benchmark for automatic medical consultation system: frameworks, tasks and datasets.
Bioinform., January, 2023

K-ESConv: Knowledge Injection for Emotional Support Dialogue Systems via Prompt Learning.
CoRR, 2023

GPT-4V(ision) as A Social Media Analysis Engine.
CoRR, 2023

DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuning.
CoRR, 2023

ReForm-Eval: Evaluating Large Vision Language Models via Unified Re-Formulation of Task-Oriented Benchmarks.
CoRR, 2023

DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services.
CoRR, 2023

DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation.
CoRR, 2023

Breaking Down the Task: A Unit-Grained Hybrid Training Framework for Vision and Language Decision Making.
CoRR, 2023

Valley: Video Assistant with Large Language model Enhanced abilitY.
CoRR, 2023

Open Set Relation Extraction via Unknown-Aware Training.
CoRR, 2023

Unifying Structure Reasoning and Language Model Pre-training for Complex Reasoning.
CoRR, 2023

AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

One-Model-Connects-All: A Unified Graph Pre-Training Model for Online Community Modeling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Argue with Me Tersely: Towards Sentence-Level Counter-Argument Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Unleashing the Power of Language Models in Text-Attributed Graph.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Detecting Adversarial Samples through Sharpness of Loss Landscape.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Open Set Relation Extraction via Unknown-Aware Training.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Actively Supervised Clustering for Open Relation Extraction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Connectivity Patterns are Task Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Query Structure Modeling for Inductive Logical Reasoning Over Knowledge Graphs.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

UPPAM: A Unified Pre-training Architecture for Political Actor Modeling based on Language.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Unifying Cross-Lingual and Cross-Modal Modeling Towards Weakly Supervised Multilingual Vision-Language Pre-training.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

KNSE: A Knowledge-aware Natural Language Inference Framework for Dialogue Symptom Status Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
From LSAT: The Progress and Challenges of Complex Reasoning.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

A Unified Continuous Learning Framework for Multi-modal Knowledge Discovery and Pre-training.
CoRR, 2022

MVP: Multi-Stage Vision-Language Pre-Training via Multi-Level Semantic Alignment.
CoRR, 2022

Hierarchical reinforcement learning for automatic disease diagnosis.
Bioinform., 2022

A review and performance evaluation of clustering frameworks for single-cell Hi-C data.
Briefings Bioinform., 2022

Learning Discriminative Representation Base on Attention for Uplift.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Causal Enhanced Uplift Model.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

MVPTR: Multi-Level Semantic Alignment for Vision-Language Pre-Training via Multi-Stage Learning.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Constructing Phrase-level Semantic Labels to Form Multi-Grained Supervision for Image-Text Retrieval.
Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

Efficient Dual-Process Cognitive Recommender Balancing Accuracy and Diversity.
Proceedings of the Database Systems for Advanced Applications, 2022

Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question Answering.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

A Two Stage Adaptation Framework for Frame Detection via Prompt Learning.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

A Structure-Aware Argument Encoder for Literature Discourse Analysis.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

A Progressive Framework for Role-Aware Rumor Resolution.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Premise-based Multimodal Reasoning: Conditional Inference on Joint Textual and Visual Clues.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
SC2disease: a manually curated database of single-cell transcriptome for human diseases.
Nucleic Acids Res., 2021

Overview of SMP-CAIL2020-Argmine: The Interactive Argument-Pair Extraction in Judgement Document Challenge.
Data Intell., 2021

Reasoning Chain Based Adversarial Attack for Multi-hop Question Answering.
CoRR, 2021

Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text Retrieval.
CoRR, 2021

SAM: A Self-adaptive Attention Module for Context-Aware Recommendation System.
CoRR, 2021

Fine-Grained Element Identification in Complaint Text of Internet Fraud.
CoRR, 2021

Premise-based Multimodal Reasoning: A Human-like Cognitive Process.
CoRR, 2021

Who Responded to Whom: The Joint Effects of Latent Topics and Discourse in Conversation Structure.
CoRR, 2021

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.
CoRR, 2021

Integrating multi-network topology for gene function prediction using deep neural networks.
Briefings Bioinform., 2021

An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction.
Briefings Bioinform., 2021

Overview of Argumentative Text Understanding for AI Debater Challenge.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

Question Generation from Code Snippets and Programming Error Messages.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

Curriculum Learning for Vision-and-Language Navigation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Discrete Argument Representation Learning for Interactive Argument Pair Identification.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Mask Attention Networks: Rethinking and Strengthen Transformer.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

TCIC: Theme Concepts Learning Cross Language and Vision for Image Captioning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A Partition Filter Network for Joint Entity and Relation Extraction.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

An Edge-Enhanced Hierarchical Graph-to-Tree Network for Math Word Problem Solving.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Operation Diagnosis on Procedure Graph: The Task and Dataset.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Fine-Grained Element Identification in Complaint Text of Internet Fraud.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Automatic detection of infectious diarrhea based on electronic medical records.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Leveraging Argumentation Knowledge Graph for Interactive Argument Pair Identification.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Math Word Problem Solving with Explicit Numerical Values.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Align Voting Behavior with Public Statements for Legislator Representation Learning.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

An Unsupervised Sampling Approach for Image-Sentence Matching Using Document-level Structural Information.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Task-oriented Dialogue System for Automatic Disease Diagnosis via Hierarchical Reinforcement Learning.
CoRR, 2020

Salience Estimation with Multi-Attention Learning for Abstractive Text Summarization.
CoRR, 2020

Joint Representation Learning of Legislator and Legislation for Roll Call Prediction.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Q-value Path Decomposition for Deep Multiagent Reinforcement Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

Variational Template Machine for Data-to-Text Generation.
Proceedings of the 8th International Conference on Learning Representations, 2020

Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models.
Proceedings of the 8th International Conference on Learning Representations, 2020

Automatic Term Name Generation for Gene Ontology: Task and Dataset.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

PathQG: Neural Question Generation from Facts.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Keep it Consistent: Topic-Aware Storytelling from an Image Stream via Iterative Multi-agent Communication.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

An Enhanced Knowledge Injection Model for Commonsense Generation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Modeling Evolution of Message Interaction for Rumor Resolution.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Automatic Generation of Electromyogram Diagnosis Report.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Simplify the Usage of Lexicon in Chinese NER.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Storytelling from an Image Stream Using Scene Graphs.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A Novel Approach to Component Assembly Inspection Based on Mask R-CNN and Support Vector Machines.
Inf., 2019

Keep it Consistent: Topic-Aware Storytelling from an Image Stream via Iterative Multi-agent Communication.
CoRR, 2019

Multi-Module System for Open Domain Chinese Question Answering over Knowledge Base.
CoRR, 2019

Acceptance Prediction for Answers on Online Health-care Community.
BMC Bioinform., 2019

A learning-based framework for miRNA-disease association identification using neural networks.
Bioinform., 2019

Building Personalized Simulator for Interactive Search.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Enhancing Dialogue Symptom Diagnosis with Global Attention and Symptom Graph.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Lexicon-Based Graph Neural Network for Chinese NER.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Using External Knowledge for Financial Event Prediction Based on Graph Neural Networks.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Extract, Transform and Filling: A Pipeline Model for Question Paraphrasing based on Template.
Proceedings of the 5th Workshop on Noisy User-generated Text, 2019

Bridging by Word: Image Grounded Vocabulary Construction for Visual Captioning.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

A Multi-Agent Communication Framework for Question-Worthy Phrase Extraction and Question Generation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
A Joint Model of Conversational Discourse and Latent Topics on Microblogs.
Comput. Linguistics, 2018

Automatic infection detection based on electronic medical records.
BMC Bioinform., 2018

A Vision Sensor Network to Study Viewers' Visible Behavior of Art Appreciation.
Proceedings of the New Frontiers in Artificial Intelligence, 2018

A Question Type Driven Framework to Diversify Visual Question Generation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Automatic Essay Scoring Incorporating Rating Schema via Reinforcement Learning.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Incorporating Argument-Level Interactions for Persuasion Comments Evaluation using Co-attention Model.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

A Reinforcement Learning Framework for Natural Question Generation using Bi-discriminators.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Automatic Acceptance Prediction for Answers in Online Healthcare Community.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Incorporating Topic Aspects for Online Comment Convincingness Evaluation.
Proceedings of the 5th Workshop on Argument Mining, 2018

Task-oriented Dialogue System for Automatic Diagnosis.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
A Joint Framework for Argumentative Text Analysis Incorporating Domain Knowledge.
CoRR, 2017

Automatic infection detection based on electronic medical records.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Intersubjectivity and Sentiment: From Language to Knowledge.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Using Relevant Public Posts to Enhance News Article Summarization.
Proceedings of the COLING 2016, 2016

An Efficient Cross-lingual Model for Sentence Classification Using Convolutional Neural Network.
Proceedings of the ACL 2016 Student Research Workshop, Berlin, Germany, August 7-12, 2016, 2016

A Preliminary Study of Disputation Behavior in Online Debating Forum.
Proceedings of the Third Workshop on Argument Mining, 2016

Is This Post Persuasive? Ranking Argumentative Comments in Online Forum.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Gibberish, Assistant, or Master?: Using Tweets Linking to News for Extractive Single-Document Summarization.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Learning to Rank Microblog Posts for Real-Time Ad-Hoc Search.
Proceedings of the Natural Language Processing and Chinese Computing - 4th CCF Conference, 2015

Using Content-level Structures for Summarizing Microblog Repost Trees.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Detect Rumors Using Time Series of Social Context Information on Microblogging Websites.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Using Tweets to Help Sentence Compression for News Highlights Generation.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
QCRI at TREC 2014: Applying the KISS principle for the TTG task in the Microblog Track.
Proceedings of The Twenty-Third Text REtrieval Conference, 2014

Ranking model selection and fusion for effective microblog search.
Proceedings of the SoMeRA'14, 2014

The CUHK Discourse TreeBank for Chinese: Annotating Explicit Discourse Connectives for the Chinese TreeBank.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

Exploiting Community Emotion for Microblog Event Detection.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Utilizing Microblogs for Automatic News Highlights Extraction.
Proceedings of the COLING 2014, 2014

Web Information Mining and Decision Support Platform for the Modern Service Industry.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
A Self-Training Framework for Automatic Identification of Exploratory Dialogue.
Int. J. Comput. Linguistics Appl., 2013

QCRI at TREC 2013 Microblog Track.
Proceedings of The Twenty-Second Text REtrieval Conference, 2013

An evaluation of learning analytics to identify exploratory dialogue in online discussions.
Proceedings of the Third Conference on Learning Analytics and Knowledge, 2013

Mainstream media behavior analysis on Twitter: a case study on UK general election.
Proceedings of the 24th ACM Conference on Hypertext and Social Media (part of ECRC), 2013

Pests Hidden in Your Fans: An Effective Approach for Opinion Leader Discovery.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2013

An Empirical Study on Uncertainty Identification in Social Media Context.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Microblog Search and Filtering with Time Sensitive Feedback and Thresholding bsed on BM25.
Proceedings of The Twenty-First Text REtrieval Conference, 2012

Quantising Opinions for Political Tweets Analysis.
Proceedings of the Eighth International Conference on Language Resources and Evaluation, 2012

Cross-Lingual Identification of Ambiguous Discourse Connectives for Resource-Poor Language.
Proceedings of the COLING 2012, 2012

2011
Exploring Tweets Normalization and Query Time Sensitivity for Twitter Search.
Proceedings of The Twentieth Text REtrieval Conference, 2011

Unsupervised Discovery of Discourse Relations for Eliminating Intra-sentence Polarity Ambiguities.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

An Effective Approach for Topic-Specific Opinion Summarization.
Proceedings of the Information Retrieval Technology, 2011

2010
One-class classification models for financial industry information recommendation.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010


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