Jiwei Li

According to our database, Jiwei Li authored at least 131 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MergeNet: Knowledge Migration across Heterogeneous Models, Tasks, and Modalities.

Kunxi Li, Tianyu Zhan, Shengyu Zhang, Kun Kuang, Jiwei Li, Zhou Zhao, Fei Wu

CoRR, 2024

Similarity-based Neighbor Selection for Graph LLMs.

Rui Li, Jiwei Li, Jiawei Han, Guoyin Wang

CoRR, 2024

Backdoor Attacks with Input-Unique Triggers in NLP.

Xukun Zhou, Jiwei Li, Tianwei Zhang, Lingjuan Lyu, Muqiao Yang, Jun He

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation.

Kairui Fu, Shengyu Zhang, Zheqi Lv, Jingyuan Chen, Jiwei Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks.

Xueyu Hu, Ziyu Zhao, Shuang Wei, Ziwei Chai, Qianli Ma, Guoyin Wang, Xuwu Wang, Jing Su, Jingjing Xu, Ming Zhu, Yao Cheng, Jianbo Yuan, Jiwei Li, Kun Kuang, Yang Yang, Hongxia Yang, Fei Wu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Are Human-generated Demonstrations Necessary for In-context Learning?

Rui Li, Guoyin Wang, Jiwei Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

You Only Query Once: An Efficient Label-Only Membership Inference Attack.

Yutong Wu, Han Qiu, Shangwei Guo, Jiwei Li, Tianwei Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Fingerprinting Image-to-Image Generative Adversarial Networks.

Guanlin Li, Guowen Xu, Han Qiu, Shangwei Guo, Run Wang, Jiwei Li, Tianwei Zhang, Rongxing Lu

Proceedings of the 9th IEEE European Symposium on Security and Privacy, 2024

Robust-Wide: Robust Watermarking Against Instruction-Driven Image Editing.

Runyi Hu, Jie Zhang, Ting Xu, Jiwei Li, Tianwei Zhang

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Sim-GPT: Text Similarity via GPT Annotated Data.

Shuhe Wang, Beiming Cao, Shengyu Zhang, Xiaoya Li, Jiwei Li, Fei Wu, Guoyin Wang, Eduard H. Hovy

CoRR, 2023

Rethinking Adversarial Training with Neural Tangent Kernel.

Guanlin Li, Han Qiu, Shangwei Guo, Jiwei Li, Tianwei Zhang

CoRR, 2023

Sentiment Analysis through LLM Negotiations.

Xiaofei Sun, Xiaoya Li, Shengyu Zhang, Shuhe Wang, Fei Wu, Jiwei Li, Tianwei Zhang, Guoyin Wang

CoRR, 2023

Towards the Vulnerability of Watermarking Artificial Intelligence Generated Content.

Guanlin Li, Yifei Chen, Jie Zhang, Jiwei Li, Shangwei Guo, Tianwei Zhang

CoRR, 2023

Instruction Tuning for Large Language Models: A Survey.

Shengyu Zhang, Linfeng Dong, Xiaoya Li, Sen Zhang, Xiaofei Sun, Shuhe Wang, Jiwei Li, Runyi Hu, Tianwei Zhang, Fei Wu, Guoyin Wang

CoRR, 2023

Pushing the Limits of ChatGPT on NLP Tasks.

Xiaofei Sun, Linfeng Dong, Xiaoya Li, Zhen Wan, Shuhe Wang, Tianwei Zhang, Jiwei Li, Fei Cheng, Lingjuan Lyu, Fei Wu, Guoyin Wang

CoRR, 2023

TaDSE: Template-aware Dialogue Sentence Embeddings.

Minsik Oh, Jiwei Li, Guoyin Wang

CoRR, 2023

GPT-NER: Named Entity Recognition via Large Language Models.

Shuhe Wang, Xiaofei Sun, Xiaoya Li, Rongbin Ouyang, Fei Wu, Tianwei Zhang, Jiwei Li, Guoyin Wang

CoRR, 2023

PK-ICR: Persona-Knowledge Interactive Context Retrieval for Grounded Dialogue.

Minsik Oh, Joosung Lee, Jiwei Li, Guoyin Wang

CoRR, 2023

Extracting Robust Models with Uncertain Examples.

Guanlin Li, Guowen Xu, Shangwei Guo, Han Qiu, Jiwei Li, Tianwei Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Clean-image Backdoor: Attacking Multi-label Models with Poisoned Labels Only.

Kangjie Chen, Xiaoxuan Lou, Guowen Xu, Jiwei Li, Tianwei Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SoK: Rethinking Sensor Spoofing Attacks against Robotic Vehicles from a Systematic View.

Yuan Xu, Xingshuo Han, Gelei Deng, Jiwei Li, Yang Liu, Tianwei Zhang

Proceedings of the 8th IEEE European Symposium on Security and Privacy, 2023

GPT-RE: In-context Learning for Relation Extraction using Large Language Models.

Zhen Wan, Fei Cheng, Zhuoyuan Mao, Qianying Liu, Haiyue Song, Jiwei Li, Sadao Kurohashi

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Text Classification via Large Language Models.

Xiaofei Sun, Xiaoya Li, Jiwei Li, Fei Wu, Shangwei Guo, Tianwei Zhang, Guoyin Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding.

Zhan Shi, Guoyin Wang, Ke Bai, Jiwei Li, Xiang Li, Qingjun Cui, Belinda Zeng, Trishul Chilimbi, Xiaodan Zhu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Read Key Points: Dialogue-Grounded Knowledge Points Generation with Multi-Level Salience-Aware Mixture.

Sen Zhang, Baokui Li, Wangshu Zhang, Changlin Yang, Yicheng Chen, Sen Hu, Teng Xu, Jiwei Li

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

S2M: Converting Single-Turn to Multi-Turn Datasets for Conversational Question Answering.

Baokui Li, Sen Zhang, Wangshu Zhang, Yicheng Chen, Changlin Yang, Sen Hu, Teng Xu, Siye Liu, Jiwei Li

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

GNN-SL: Sequence Labeling Based on Nearest Examples via GNN.

Shuhe Wang, Yuxian Meng, Rongbin Ouyang, Jiwei Li, Tianwei Zhang, Lingjuan Lyu, Guoyin Wang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Ranking-Enhanced Unsupervised Sentence Representation Learning.

Yeon Seonwoo, Guoyin Wang, Changmin Seo, Sajal Choudhary, Jiwei Li, Xiang Li, Puyang Xu, Sunghyun Park, Alice Oh

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Defending against Backdoor Attacks in Natural Language Generation.

Xiaofei Sun, Xiaoya Li, Yuxian Meng, Xiang Ao, Lingjuan Lyu, Jiwei Li, Tianwei Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Ownership Verification of DNN Architectures via Hardware Cache Side Channels.

Xiaoxuan Lou, Shangwei Guo, Jiwei Li, Tianwei Zhang

IEEE Trans. Circuits Syst. Video Technol., 2022

Sentence Similarity Based on Contexts.

Xiaofei Sun, Yuxian Meng, Xiang Ao, Fei Wu, Tianwei Zhang, Jiwei Li, Chun Fan

Trans. Assoc. Comput. Linguistics, 2022

SoK: Rethinking Sensor Spoofing Attacks against Robotic Vehicles from a Systematic View.

Yuan Xu, Xingshuo Han, Gelei Deng, Guanlin Li, Yang Liu, Jiwei Li, Tianwei Zhang

CoRR, 2022

ShiftNAS: Towards Automatic Generation of Advanced Mulitplication-Less Neural Networks.

Xiaoxuan Lou, Guowen Xu, Kangjie Chen, Guanlin Li, Jiwei Li, Tianwei Zhang

CoRR, 2022

kNN-NER: Named Entity Recognition with Nearest Neighbor Search.

Shuhe Wang, Xiaoya Li, Yuxian Meng, Tianwei Zhang, Rongbin Ouyang, Jiwei Li, Guoyin Wang

CoRR, 2022

Clean-Annotation Backdoor Attack against Lane Detection Systems in the Wild.

Xingshuo Han, Guowen Xu, Yuan Zhou, Xuehuan Yang, Jiwei Li, Tianwei Zhang

CoRR, 2022

Threats to Pre-trained Language Models: Survey and Taxonomy.

Shangwei Guo, Chunlong Xie, Jiwei Li, Lingjuan Lyu, Tianwei Zhang

CoRR, 2022

CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks.

Xuanli He, Qiongkai Xu, Yi Zeng, Lingjuan Lyu, Fangzhao Wu, Jiwei Li, Ruoxi Jia

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Triggerless Backdoor Attack for NLP Tasks with Clean Labels.

Leilei Gan, Jiwei Li, Tianwei Zhang, Xiaoya Li, Yuxian Meng, Fei Wu, Yi Yang, Shangwei Guo, Chun Fan

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Physical Backdoor Attacks to Lane Detection Systems in Autonomous Driving.

Xingshuo Han, Guowen Xu, Yuan Zhou, Xuehuan Yang, Jiwei Li, Tianwei Zhang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

GNN-LM: Language Modeling based on Global Contexts via GNN.

Yuxian Meng, Shi Zong, Xiaoya Li, Xiaofei Sun, Tianwei Zhang, Fei Wu, Jiwei Li

Proceedings of the Tenth International Conference on Learning Representations, 2022

NASPY: Automated Extraction of Automated Machine Learning Models.

Xiaoxuan Lou, Shangwei Guo, Jiwei Li, Yaoxin Wu, Tianwei Zhang

Proceedings of the Tenth International Conference on Learning Representations, 2022

BadPre: Task-agnostic Backdoor Attacks to Pre-trained NLP Foundation Models.

Kangjie Chen, Yuxian Meng, Xiaofei Sun, Shangwei Guo, Tianwei Zhang, Jiwei Li, Chun Fan

Proceedings of the Tenth International Conference on Learning Representations, 2022

Watermarking Pre-trained Encoders in Contrastive Learning.

Yutong Wu, Han Qiu, Tianwei Zhang, Jiwei Li, Meikang Qiu

Proceedings of the 4th International Conference on Data Intelligence and Security, 2022

Rescue Implicit and Long-tail Cases: Nearest Neighbor Relation Extraction.

Zhen Wan, Qianying Liu, Zhuoyuan Mao, Fei Cheng, Sadao Kurohashi, Jiwei Li

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Open World Classification with Adaptive Negative Samples.

Ke Bai, Guoyin Wang, Jiwei Li, Sunghyun Park, Sungjin Lee, Puyang Xu, Ricardo Henao, Lawrence Carin

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Improving Adversarial Robustness of 3D Point Cloud Classification Models.

Guanlin Li, Guowen Xu, Han Qiu, Ruan He, Jiwei Li, Tianwei Zhang

Proceedings of the Computer Vision - ECCV 2022, 2022

An MRC Framework for Semantic Role Labeling.

Nan Wang, Jiwei Li, Yuxian Meng, Xiaofei Sun, Han Qiu, Ziyao Wang, Guoyin Wang, Jun He

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Paraphrase Generation as Unsupervised Machine Translation.

Xiaofei Sun, Yufei Tian, Yuxian Meng, Nanyun Peng, Fei Wu, Jiwei Li, Chun Fan

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Summarize, Outline, and Elaborate: Long-Text Generation via Hierarchical Supervision from Extractive Summaries.

Xiaofei Sun, Zijun Sun, Yuxian Meng, Jiwei Li, Chun Fan

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Fast Nearest Neighbor Machine Translation.

Yuxian Meng, Xiaoya Li, Xiayu Zheng, Fei Wu, Xiaofei Sun, Tianwei Zhang, Jiwei Li

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Dependency Parsing as MRC-based Span-Span Prediction.

Leilei Gan, Yuxian Meng, Kun Kuang, Xiaofei Sun, Chun Fan, Fei Wu, Jiwei Li

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Faster Nearest Neighbor Machine Translation.

Shuhe Wang, Jiwei Li, Yuxian Meng, Rongbin Ouyang, Guoyin Wang, Xiaoya Li, Tianwei Zhang, Shi Zong

CoRR, 2021

Protecting Your NLG Models with Semantic and Robust Watermarks.

Tao Xiang, Chunlong Xie, Shangwei Guo, Jiwei Li, Tianwei Zhang

CoRR, 2021

A General Framework for Defending Against Backdoor Attacks via Influence Graph.

Xiaofei Sun, Jiwei Li, Xiaoya Li, Ziyao Wang, Tianwei Zhang, Han Qiu, Fei Wu, Chun Fan

CoRR, 2021

Triggerless Backdoor Attack for NLP Tasks with Clean Labels.

Leilei Gan, Jiwei Li, Tianwei Zhang, Xiaoya Li, Yuxian Meng, Fei Wu, Shangwei Guo, Chun Fan

CoRR, 2021

Interpreting Deep Learning Models in Natural Language Processing: A Review.

Xiaofei Sun, Diyi Yang, Xiaoya Li, Tianwei Zhang, Yuxian Meng, Han Qiu, Guoyin Wang, Eduard H. Hovy, Jiwei Li

CoRR, 2021

Fingerprinting Multi-exit Deep Neural Network Models via Inference Time.

Tian Dong, Han Qiu, Tianwei Zhang, Jiwei Li, Hewu Li, Jialiang Lu

CoRR, 2021

OpenViDial 2.0: A Larger-Scale, Open-Domain Dialogue Generation Dataset with Visual Contexts.

Shuhe Wang, Yuxian Meng, Xiaoya Li, Xiaofei Sun, Rongbin Ouyang, Jiwei Li

CoRR, 2021

An MRC Framework for Semantic Role Labeling.

Nan Wang, Jiwei Li, Yuxian Meng, Xiaofei Sun, Jun He

CoRR, 2021

Layer-wise Model Pruning based on Mutual Information.

Chun Fan, Jiwei Li, Xiang Ao, Fei Wu, Yuxian Meng, Xiaofei Sun

CoRR, 2021

Defending against Backdoor Attacks in Natural Language Generation.

Chun Fan, Xiaoya Li, Yuxian Meng, Xiaofei Sun, Xiang Ao, Fei Wu, Jiwei Li, Tianwei Zhang

CoRR, 2021

Parameter Estimation for the SEIR Model Using Recurrent Nets.

Chun Fan, Yuxian Meng, Xiaofei Sun, Fei Wu, Tianwei Zhang, Jiwei Li

CoRR, 2021

Modeling Text-visual Mutual Dependency for Multi-modal Dialog Generation.

Shuhe Wang, Yuxian Meng, Xiaofei Sun, Fei Wu, Rongbin Ouyang, Rui Yan, Tianwei Zhang, Jiwei Li

CoRR, 2021

BertGCN: Transductive Text Classification by Combining GCN and BERT.

Yuxiao Lin, Yuxian Meng, Xiaofei Sun, Qinghong Han, Kun Kuang, Jiwei Li, Fei Wu

CoRR, 2021

Self Question-answering: Aspect-based Sentiment Analysis by Role Flipped Machine Reading Comprehension.

Guoxin Yu, Jiwei Li, Ling Luo, Yuxian Meng, Xiang Ao, Qing He

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

ConRPG: Paraphrase Generation using Contexts as Regularizer.

Yuxian Meng, Xiang Ao, Qing He, Xiaofei Sun, Qinghong Han, Fei Wu, Chun Fan, Jiwei Li

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

kFolden: k-Fold Ensemble for Out-Of-Distribution Detection.

Xiaoya Li, Jiwei Li, Xiaofei Sun, Chun Fan, Tianwei Zhang, Fei Wu, Yuxian Meng, Jun Zhang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Layer-wise Model Pruning based on Mutual Information.

Chun Fan, Jiwei Li, Tianwei Zhang, Xiang Ao, Fei Wu, Yuxian Meng, Xiaofei Sun

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Making Flexible Use of Subtasks: A Multiplex Interaction Network for Unified Aspect-based Sentiment Analysis.

Guoxin Yu, Xiang Ao, Ling Luo, Min Yang, Xiaofei Sun, Jiwei Li, Qing He

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information.

Zijun Sun, Xiaoya Li, Xiaofei Sun, Yuxian Meng, Xiang Ao, Qing He, Fei Wu, Jiwei Li

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

BertGCN: Transductive Text Classification by Combining GNN and BERT.

Yuxiao Lin, Yuxian Meng, Xiaofei Sun, Qinghong Han, Kun Kuang, Jiwei Li, Fei Wu

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

OpenViDial: A Large-Scale, Open-Domain Dialogue Dataset with Visual Contexts.

Yuxian Meng, Shuhe Wang, Qinghong Han, Xiaofei Sun, Fei Wu, Rui Yan, Jiwei Li

CoRR, 2020

Self-Explaining Structures Improve NLP Models.

Zijun Sun, Chun Fan, Qinghong Han, Xiaofei Sun, Yuxian Meng, Fei Wu, Jiwei Li

CoRR, 2020

Neural Semi-supervised Learning for Text Classification Under Large-Scale Pretraining.

Zijun Sun, Chun Fan, Xiaofei Sun, Yuxian Meng, Fei Wu, Jiwei Li

CoRR, 2020

Summarize, Outline, and Elaborate: Long-Text Generation via Hierarchical Supervision from Extractive Summaries.

Xiaofei Sun, Chun Fan, Zijun Sun, Yuxian Meng, Fei Wu, Jiwei Li

CoRR, 2020

Pair the Dots: Jointly Examining Training History and Test Stimuli for Model Interpretability.

Yuxian Meng, Chun Fan, Zijun Sun, Eduard H. Hovy, Fei Wu, Jiwei Li

CoRR, 2020

Improving Robustness and Generality of NLP Models Using Disentangled Representations.

Jiawei Wu, Xiaoya Li, Xiang Ao, Yuxian Meng, Fei Wu, Jiwei Li

CoRR, 2020

Analyzing COVID-19 on Online Social Media: Trends, Sentiments and Emotions.

Xiaoya Li, Mingxin Zhou, Jiawei Wu, Arianna Yuan, Fei Wu, Jiwei Li

CoRR, 2020

SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection.

Xiaoya Li, Yuxian Meng, Qinghong Han, Fei Wu, Jiwei Li

CoRR, 2020

Non-Autoregressive Neural Dialogue Generation.

Qinghong Han, Yuxian Meng, Fei Wu, Jiwei Li

CoRR, 2020

LAVA NAT: A Non-Autoregressive Translation Model with Look-Around Decoding and Vocabulary Attention.

Xiaoya Li, Yuxian Meng, Arianna Yuan, Fei Wu, Jiwei Li

CoRR, 2020

SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection.

Xiaoya Li, Yuxian Meng, Mingxin Zhou, Qinghong Han, Fei Wu, Jiwei Li

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Description Based Text Classification with Reinforcement Learning.

Duo Chai, Wei Wu, Qinghong Han, Fei Wu, Jiwei Li

Proceedings of the 37th International Conference on Machine Learning, 2020

CorefQA: Coreference Resolution as Query-based Span Prediction.

Wei Wu, Fei Wang, Arianna Yuan, Fei Wu, Jiwei Li

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Dice Loss for Data-imbalanced NLP Tasks.

Xiaoya Li, Xiaofei Sun, Yuxian Meng, Junjun Liang, Fei Wu, Jiwei Li

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

A Unified MRC Framework for Named Entity Recognition.

Xiaoya Li, Jingrong Feng, Yuxian Meng, Qinghong Han, Fei Wu, Jiwei Li

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Coreference Resolution as Query-based Span Prediction.

Wei Wu, Fei Wang, Arianna Yuan, Fei Wu, Jiwei Li

CoRR, 2019

Large-scale Pretraining for Neural Machine Translation with Tens of Billions of Sentence Pairs.

Yuxian Meng, Xiangyuan Ren, Zijun Sun, Xiaoya Li, Arianna Yuan, Fei Wu, Jiwei Li

CoRR, 2019

Query-Based Named Entity Recognition.

Yuxian Meng, Xiaoya Li, Zijun Sun, Jiwei Li

CoRR, 2019

DSReg: Using Distant Supervision as a Regularizer.

Yuxian Meng, Muyu Li, Wei Wu, Jiwei Li

CoRR, 2019

Glyce: Glyph-vectors for Chinese Character Representations.

Yuxian Meng, Wei Wu, Fei Wang, Xiaoya Li, Ping Nie, Fan Yin, Muyu Li, Qinghong Han, Xiaofei Sun, Jiwei Li

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Deep Adversarial Learning for NLP.

William Yang Wang, Sameer Singh, Jiwei Li

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Entity-Relation Extraction as Multi-Turn Question Answering.

Xiaoya Li, Fan Yin, Zijun Sun, Xiayu Li, Arianna Yuan, Duo Chai, Mingxin Zhou, Jiwei Li

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Is Word Segmentation Necessary for Deep Learning of Chinese Representations?

Xiaoya Li, Yuxian Meng, Xiaofei Sun, Qinghong Han, Arianna Yuan, Jiwei Li

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

IcoRating: A Deep-Learning System for Scam ICO Identification.

Shuqing Bian, Zhenpeng Deng, Fei Li, Will Monroe, Peng Shi, Zijun Sun, Wei Wu, Sikuang Wang, William Yang Wang, Arianna Yuan, Tianwei Zhang, Jiwei Li

CoRR, 2018

Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints.

Ashutosh Baheti, Alan Ritter, Jiwei Li, Bill Dolan

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Deep Reinforcement Learning for NLP.

William Yang Wang, Jiwei Li, Xiaodong He

Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, Tutorial Abstracts, 2018

2017

Teaching machines to converse.

Jiwei Li

PhD thesis, 2017

Adversarial Learning for Neural Dialogue Generation.

Jiwei Li, Will Monroe, Tianlin Shi, Alan Ritter, Dan Jurafsky

CoRR, 2017

Data Distillation for Controlling Specificity in Dialogue Generation.

Jiwei Li, Will Monroe, Dan Jurafsky

CoRR, 2017

Learning to Decode for Future Success.

Jiwei Li, Will Monroe, Dan Jurafsky

CoRR, 2017

Data Noising as Smoothing in Neural Network Language Models.

Ziang Xie, Sida I. Wang, Jiwei Li, Daniel Lévy, Aiming Nie, Dan Jurafsky, Andrew Y. Ng

Proceedings of the 5th International Conference on Learning Representations, 2017

Adversarial Learning for Neural Dialogue Generation.

Jiwei Li, Will Monroe, Tianlin Shi, Sébastien Jean, Alan Ritter, Dan Jurafsky

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Neural Net Models of Open-domain Discourse Coherence.

Jiwei Li, Dan Jurafsky

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

Understanding Neural Networks through Representation Erasure.

Jiwei Li, Will Monroe, Dan Jurafsky

CoRR, 2016

A Simple, Fast Diverse Decoding Algorithm for Neural Generation.

Jiwei Li, Will Monroe, Dan Jurafsky

CoRR, 2016

Mutual Information and Diverse Decoding Improve Neural Machine Translation.

Jiwei Li, Dan Jurafsky

CoRR, 2016

A Persona-Based Neural Conversation Model.

Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan

CoRR, 2016

A Diversity-Promoting Objective Function for Neural Conversation Models.

Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan

Proceedings of the NAACL HLT 2016, 2016

Visualizing and Understanding Neural Models in NLP.

Jiwei Li, Xinlei Chen, Eduard H. Hovy, Dan Jurafsky

Proceedings of the NAACL HLT 2016, 2016

Deep Reinforcement Learning for Dialogue Generation.

Jiwei Li, Will Monroe, Alan Ritter, Dan Jurafsky, Michel Galley, Jianfeng Gao

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

A Persona-Based Neural Conversation Model.

Jiwei Li, Michel Galley, Chris Brockett, Georgios P. Spithourakis, Jianfeng Gao, William B. Dolan

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Learning multi-faceted representations of individuals from heterogeneous evidence using neural networks.

Jiwei Li, Alan Ritter, Dan Jurafsky

CoRR, 2015

When Are Tree Structures Necessary for Deep Learning of Representations?

Jiwei Li, Dan Jurafsky, Eduard H. Hovy

CoRR, 2015

Reflections on Sentiment/Opinion Analysis.

Jiwei Li, Eduard H. Hovy

CoRR, 2015

The NLP Engine: A Universal Turing Machine for NLP.

Jiwei Li, Eduard H. Hovy

CoRR, 2015

When Are Tree Structures Necessary for Deep Learning of Representations?

Jiwei Li, Thang Luong, Dan Jurafsky, Eduard H. Hovy

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Do Multi-Sense Embeddings Improve Natural Language Understanding?

Jiwei Li, Dan Jurafsky

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

A Hierarchical Neural Autoencoder for Paragraphs and Documents.

Jiwei Li, Minh-Thang Luong, Dan Jurafsky

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

Inferring User Preferences by Probabilistic Logical Reasoning over Social Networks.

Jiwei Li, Alan Ritter, Dan Jurafsky

CoRR, 2014

Timeline generation: tracking individuals on twitter.

Jiwei Li, Claire Cardie

Proceedings of the 23rd International World Wide Web Conference, 2014

Major Life Event Extraction from Twitter based on Congratulations/Condolences Speech Acts.

Jiwei Li, Alan Ritter, Claire Cardie, Eduard H. Hovy

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Recursive Deep Models for Discourse Parsing.

Jiwei Li, Rumeng Li, Eduard H. Hovy

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

A Model of Coherence Based on Distributed Sentence Representation.

Jiwei Li, Eduard H. Hovy

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Sentiment Analysis on the People's Daily.

Jiwei Li, Eduard H. Hovy

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

What a Nasty Day: Exploring Mood-Weather Relationship from Twitter.

Jiwei Li, Xun Wang, Eduard H. Hovy

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Weakly Supervised User Profile Extraction from Twitter.

Jiwei Li, Alan Ritter, Eduard H. Hovy

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Towards a General Rule for Identifying Deceptive Opinion Spam.

Jiwei Li, Myle Ott, Claire Cardie, Eduard H. Hovy

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Early Stage Influenza Detection from Twitter.

Jiwei Li, Claire Cardie

CoRR, 2013

Identifying Manipulated Offerings on Review Portals.

Jiwei Li, Myle Ott, Claire Cardie

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

TopicSpam: a Topic-Model based approach for spam detection.

Jiwei Li, Claire Cardie, Sujian Li

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013