Qi Zhang

Orcid: 0000-0003-0947-4942

Affiliations:
  • Fudan University, School of Computer Science, Shanghai Key Laboratory of Data Science, China (PhD 2009)


According to our database1, Qi Zhang authored at least 241 papers between 2007 and 2024.

Collaborative distances:

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Bibliography

2024
CausalABSC: Causal Inference for Aspect Debiasing in Aspect-Based Sentiment Classification.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Unveiling Linguistic Regions in Large Language Models.
CoRR, 2024

LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition.
CoRR, 2024

On the Tip of the Tongue: Analyzing Conceptual Representation in Large Language Models with Reverse-Dictionary Probe.
CoRR, 2024

LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration.
CoRR, 2024

Advancing Translation Preference Modeling with RLHF: A Step Towards Cost-Effective Solution.
CoRR, 2024

ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages.
CoRR, 2024

LongHeads: Multi-Head Attention is Secretly a Long Context Processor.
CoRR, 2024

Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning.
CoRR, 2024

Are Large Language Models Good Prompt Optimizers?
CoRR, 2024

StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback.
CoRR, 2024

Navigating the OverKill in Large Language Models.
CoRR, 2024

MouSi: Poly-Visual-Expert Vision-Language Models.
CoRR, 2024

RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning.
CoRR, 2024

Secrets of RLHF in Large Language Models Part II: Reward Modeling.
CoRR, 2024

LLaMA Beyond English: An Empirical Study on Language Capability Transfer.
CoRR, 2024

ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios.
CoRR, 2024

LLMEval: A Preliminary Study on How to Evaluate Large Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

A Soft Contrastive Learning-based Prompt Model for Few-shot Sentiment Analysis.
CoRR, 2023

LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment.
CoRR, 2023

RRescue: Ranking LLM Responses to Enhance Reasoning Over Context.
CoRR, 2023

Making Harmful Behaviors Unlearnable for Large Language Models.
CoRR, 2023

Unveiling A Core Linguistic Region in Large Language Models.
CoRR, 2023

Improving Generalization of Alignment with Human Preferences through Group Invariant Learning.
CoRR, 2023

RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification.
CoRR, 2023

TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models.
CoRR, 2023

Universal Multi-modal Entity Alignment via Iteratively Fusing Modality Similarity Paths.
CoRR, 2023

The Rise and Potential of Large Language Model Based Agents: A Survey.
CoRR, 2023

Secrets of RLHF in Large Language Models Part I: PPO.
CoRR, 2023

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

Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement.
CoRR, 2023

A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition.
CoRR, 2023

Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild.
CoRR, 2023

CausalAPM: Generalizable Literal Disentanglement for NLU Debiasing.
CoRR, 2023

InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction.
CoRR, 2023

A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models.
CoRR, 2023

How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks.
CoRR, 2023

RealBehavior: A Framework for Faithfully Characterizing Foundation Models' Human-like Behavior Mechanisms.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Inductive Relation Inference of Knowledge Graph Enhanced by Ontology Information.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

TextMixer: Mixing Multiple Inputs for Privacy-Preserving Inference.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Are Structural Concepts Universal in Transformer Language Models? Towards Interpretable Cross-Lingual Generalization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Orthogonal Subspace Learning for Language Model Continual Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 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

Towards Building More Robust NER datasets: An Empirical Study on NER Dataset Bias from a Dataset Difficulty View.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 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

Towards Understanding Omission in Dialogue Summarization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

TextObfuscator: Making Pre-trained Language Model a Privacy Protector via Obfuscating Word Representations.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Characterizing the Impacts of Instances on Robustness.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 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

A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

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

Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model.
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

Coarse-to-fine Few-shot Learning for Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Learning "O" Helps for Learning More: Handling the Unlabeled Entity Problem for Class-incremental NER.
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

On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 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

CASN: Class-Aware Score Network for Textual Adversarial Detection.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Uncertainty-Aware Sequence Labeling.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Automatic Math Word Problem Generation With Topic-Expression Co-Attention Mechanism and Reinforcement Learning.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Sentiment-aware multimodal pre-training for multimodal sentiment analysis.
Knowl. Based Syst., 2022

Robust Lottery Tickets for Pre-trained Language Models.
CoRR, 2022

Learning "O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER.
CoRR, 2022

Searching for Optimal Subword Tokenization in Cross-domain NER.
CoRR, 2022

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings.
CoRR, 2022

Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective.
CoRR, 2022

Template-free Prompt Tuning for Few-shot NER.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

TextFusion: Privacy-Preserving Pre-trained Model Inference via Token Fusion.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer?
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Efficient Adversarial Training with Robust Early-Bird Tickets.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ProofInfer: Generating Proof via Iterative Hierarchical Inference.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Making Parameter-efficient Tuning More Efficient: A Unified Framework for Classification Tasks.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

PlugAT: A Plug and Play Module to Defend against Textual Adversarial Attack.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Read Extensively, Focus Smartly: A Cross-document Semantic Enhancement Method for Visual Documents NER.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Causal Intervention Improves Implicit Sentiment Analysis.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question Answering.
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

LFKQG: A Controlled Generation Framework with Local Fine-tuning for Question Generation over Knowledge Bases.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective.
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

Abstains from Prediction: Towards Robust Relation Extraction in Real World.
Proceedings of the Chinese Computational Linguistics - 21st China National Conference, 2022

An Exploration of Prompt-Based Zero-Shot Relation Extraction Method.
Proceedings of the Chinese Computational Linguistics - 21st China National Conference, 2022

Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intents.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Robust Lottery Tickets for Pre-trained Language Models.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Flooding-X: Improving BERT's Resistance to Adversarial Attacks via Loss-Restricted Fine-Tuning.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

CQG: A Simple and Effective Controlled Generation Framework for Multi-hop Question Generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Co-Attention Memory Network for Multimodal Microblog's Hashtag Recommendation.
IEEE Trans. Knowl. Data Eng., 2021

Information retrieval: a view from the Chinese IR community.
Frontiers Comput. Sci., 2021

Plug-Tagger: A Pluggable Sequence Labeling Framework Using Language Models.
CoRR, 2021

Template-free Prompt Tuning for Few-shot NER.
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

Searching Effective Transformer for Seq2Seq Keyphrase Generation.
Proceedings of the Natural Language Processing and Chinese Computing, 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

Larger-Context Tagging: When and Why Does It Work?
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Thinking Clearly, Talking Fast: Concept-Guided Non-Autoregressive Generation for Open-Domain Dialogue Systems.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A Relation-Oriented Clustering Method for Open Relation Extraction.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Heterogeneous Graph Neural Networks for Keyphrase Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Keyphrase Generation with Fine-Grained Evaluation-Guided Reinforcement Learning.
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

Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

One2Set: Generating Diverse Keyphrases as a Set.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 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

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

SENT: Sentence-level Distant Relation Extraction via Negative Training.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware Auto-Encoders.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
SenSeNet: Neural Keyphrase Generation with Document Structure.
CoRR, 2020

Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study.
CoRR, 2020

Recurrent Memory Reasoning Network for Expert Finding in Community Question Answering.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Learning to Generate Representations for Novel Words: Mimic the OOV Situation in Training.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

Leveraging Document-Level Label Consistency for Named Entity Recognition.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

A Knowledge-Aware Sequence-to-Tree Network for Math Word Problem Solving.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

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

Toward Recognizing More Entity Types in NER: An Efficient Implementation using Only Entity Lexicons.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Uncertainty-Aware Label Refinement for Sequence Labeling.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

RethinkCWS: Is Chinese Word Segmentation a Solved Task?
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

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

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

Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification with <i>K</i>-Means Features.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Visual Content Recognition by Exploiting Semantic Feature Map with Attention and Multi-task Learning.
ACM Trans. Multim. Comput. Commun. Appl., 2019

Sequence Labeling With Deep Gated Dual Path CNN.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

A Neural Semantic Parser for Math Problems Incorporating Multi-Sentence Information.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2019

Knowledge Graph Construction and Applications for Web Search and Beyond.
Data Intell., 2019

Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K-means Features.
CoRR, 2019

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

Weighed Domain-Invariant Representation Learning for Cross-domain Sentiment Analysis.
CoRR, 2019

Simplify the Usage of Lexicon in Chinese NER.
CoRR, 2019

Address Instance-level Label Prediction in Multiple Instance Learning.
CoRR, 2019

Reformulating natural language queries using sequence-to-sequence models.
Sci. China Inf. Sci., 2019

Implicit discourse relation detection using concatenated word embeddings and a gated relevance network.
Sci. China Inf. Sci., 2019

Review Response Generation in E-Commerce Platforms with External Product Information.
Proceedings of the World Wide Web Conference, 2019

Hot Topic-Aware Retweet Prediction with Masked Self-attentive Model.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Adaptive Multi-Attention Network Incorporating Answer Information for Duplicate Question Detection.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Mention Recommendation in Twitter with Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Model the Long-Term Post History for Hashtag Recommendation.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Posterior-regularized REINFORCE for Instance Selection in Distant Supervision.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Learning Task-Specific Representation for Novel Words in Sequence Labeling.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

CNN-Based Chinese NER with Lexicon Rethinking.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Using Customer Service Dialogues for Satisfaction Analysis with Context-Assisted Multiple Instance Learning.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Asynchronous Deep Interaction Network for Natural Language Inference.
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

Modeling the Long-Term Post History for Personalized Hashtag Recommendation.
Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019

Depression Detection on Social Media with Reinforcement Learning.
Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019

Mining User Profiles from Query Log.
Proceedings of the Information Retrieval - 25th China Conference, 2019

Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Trainable Undersampling for Class-Imbalance Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Long Short-Term Memory with Dynamic Skip Connections.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Cooperative Multimodal Approach to Depression Detection in Twitter.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Hashtag recommendation for multimodal microblog posts.
Neurocomputing, 2018

Two Step Joint Model for Drug Drug Interaction Extraction.
Proceedings of the 2018 Text Analysis Conference, 2018

Mention Recommendation for Multimodal Microblog with Cross-attention Memory Network.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Neural Networks Incorporating Unlabeled and Partially-labeled Data for Cross-domain Chinese Word Segmentation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Transferring from Formal Newswire Domain with Hypernet for Twitter POS Tagging.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

A Lexicon-Based Supervised Attention Model for Neural Sentiment Analysis.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

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

Generating Keyword Queries for Natural Language Queries to Alleviate Lexical Chasm Problem.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Cross-Domain Sentiment Classification with Target Domain Specific Information.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Neural Networks Incorporating Dictionaries for Chinese Word Segmentation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Adaptive Co-attention Network for Named Entity Recognition in Tweets.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Phrase-based hashtag recommendation for microblog posts.
Sci. China Inf. Sci., 2017

Predicting Which Topics You Will Join in the Future on Social Media.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Hierarchical Dirichlet Processes with Social Influence.
Proceedings of the Natural Language Processing and Chinese Computing, 2017

A Learning Error Analysis for Structured Prediction with Approximate Inference.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Hashtag Recommendation for Multimodal Microblog Using Co-Attention Network.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Mention Recommendation for Twitter with End-to-end Memory Network.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A Mixed Generative-Discriminative Based Hashing Method.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Part-of-Speech Tagging for Twitter with Adversarial Neural Networks.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Large-scale Opinion Relation Extraction with Distantly Supervised Neural Network.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016
A Mixed Generative-Discriminative Based Hashing Method.
IEEE Trans. Knowl. Data Eng., 2016

Learning Word Embeddings from Intrinsic and Extrinsic Views.
CoRR, 2016

Hashtag Recommendation Using Attention-Based Convolutional Neural Network.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Keyphrase Extraction Using Deep Recurrent Neural Networks on Twitter.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Generating Abbreviations for Chinese Named Entities Using Recurrent Neural Network with Dynamic Dictionary.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Hashtag Recommendation Using End-To-End Memory Networks with Hierarchical Attention.
Proceedings of the COLING 2016, 2016

Retweet Prediction with Attention-based Deep Neural Network.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Incorporate Group Information to Enhance Network Embedding.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Discourse Relations Detection via a Mixed Generative-Discriminative Framework.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Personalized Hashtag Suggestion for Microblogs.
Proceedings of the Social Media Processing - 4th National Conference, 2015

Hashtag Recommendation Using Dirichlet Process Mixture Models Incorporating Types of Hashtags.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Who Will You "@"?
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Retweet Behavior Prediction Using Hierarchical Dirichlet Process.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Chinese-English mixed text normalization.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

PatentLine: analyzing technology evolution on multi-view patent graphs.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Continuous word embeddings for detecting local text reuses at the semantic level.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Time-aware Personalized Hashtag Recommendation on Social Media.
Proceedings of the COLING 2014, 2014

A Generative Model for Identifying Target Companies of Microblogs.
Proceedings of the COLING 2014, 2014

2013
Understanding the Semantic Intent of Natural Language Query.
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

Detecting Spammers in Community Question Answering.
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

Chinese Named Entity Abbreviation Generation Using First-Order Logic.
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

Learning Topical Translation Model for Microblog Hashtag Suggestion.
Proceedings of the IJCAI 2013, 2013

Discourse Level Explanatory Relation Extraction from Product Reviews Using First-Order Logic.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

A pattern-based selective recrawling approach for object-level vertical search.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Map search via a factor graph model.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

FudanNLP: A Toolkit for Chinese Natural Language Processing.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Learning hash codes for efficient content reuse detection.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Automatic Hashtag Recommendation for Microblogs using Topic-Specific Translation Model.
Proceedings of the COLING 2012, 2012

Selecting expansion terms as a set via integer linear programming.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Opinion Mining with Sentiment Graph.
Proceedings of the 2011 IEEE/WIC/ACM International Conference on Web Intelligence, 2011

Learning the weight of the query term from the relevance feedback.
Proceedings of the 7th International Conference on Natural Language Processing and Knowledge Engineering, 2011

Efficient Near-Duplicate Detection for Q&A Forum.
Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

Keyphrase Extraction from Online News Using Binary Integer Programming.
Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

Structural Opinion Mining for Graph-based Sentiment Representation.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Learning to Extract Coherent Keyphrases from Online News.
Proceedings of the Information Retrieval Technology, 2011

2010
Selective recrawling for object-level vertical search.
Proceedings of the 19th International Conference on World Wide Web, 2010

Efficient partial-duplicate detection based on sequence matching.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Bagging to find better expansion words.
Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering, 2010

Joint Training and Decoding Using Virtual Nodes for Cascaded Segmentation and Tagging Tasks.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

2D Trie for Fast Parsing.
Proceedings of the COLING 2010, 2010

Pseudo-Relevance Feedback Based on mRMR Criteria.
Proceedings of the Information Retrieval Technology, 2010

2009
Mining product reviews based on shallow dependency parsing.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Template-independent wrapper for web forums.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Sparse higher order conditional random fields for improved sequence labeling.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Phrase Dependency Parsing for Opinion Mining.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

2008
Sentiment Classification Using Supervised and Semi-Supervised Conditional Maximum Entropy Modeling.
Int. J. Comput. Process. Orient. Lang., 2008

Graph Mutual Reinforcement Based Bootstrapping.
Proceedings of the Information Retrieval Technology, 2008

Domain Adaptation for Conditional Random Fields.
Proceedings of the Information Retrieval Technology, 2008

2007
FDU at TREC 2007: Opinion Retrieval of Blog Track.
Proceedings of The Sixteenth Text REtrieval Conference, 2007


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