Yangfeng Ji

117 papers A* 14A 2B 3C 2Misc 1Journal 64Unranked 29
YearRankTypeTitle / Venue / Authors
2026 J jnl
White-Box Sensitivity Auditing with Steering Vectors.
CoRR
Hannah Cyberey, Yangfeng Ji, David Evans
2025 J jnl
CASE: Contrastive Activation for Saliency Estimation.
CoRR
Dane Williamson, Yangfeng Ji, Matthew Dwyer
2025 J jnl
Expert-Grounded Automatic Prompt Engineering for Extracting Lattice Constants of High-Entropy Alloys from Scientific Publications using Large Language Models.
CoRR
Shunshun Liu, Talon R. Booth, Yangfeng Ji, Wesley Reinhart, Prasanna V. Balachandran
2025 — conf
In-Context Learning (and Unlearning) of Length Biases.
NAACL (Long Papers)
Stephanie Schoch, Yangfeng Ji
2025 J jnl
In-Context Learning (and Unlearning) of Length Biases.
CoRR
Stephanie Schoch, Yangfeng Ji
2025 — conf
IrrMap: A Large-Scale Comprehensive Dataset for Irrigation Method Mapping.
KDD (2)
Nibir Chandra Mandal, Oishee Bintey Hoque, Abhijin Adiga, Samarth Swarup, Mandy L. Wilson, Lu Feng, Yangfeng Ji, Miaomiao Zhang, Geoffrey C. Fox, Madhav V. Marathe
2025 J jnl
IrrMap: A Large-Scale Comprehensive Dataset for Irrigation Method Mapping.
CoRR
Nibir Chandra Mandal, Oishee Bintey Hoque, Abhijin Adiga, Samarth Swarup, Mandy L. Wilson, Lu Feng, Yangfeng Ji, Miaomiao Zhang, Geoffrey C. Fox, Madhav V. Marathe
2025 J jnl
Monte Carlo Sampling for Analyzing In-Context Examples.
CoRR
Stephanie Schoch, Yangfeng Ji
2025 J jnl
Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection.
CoRR
Dane Williamson, Yangfeng Ji, Matthew B. Dwyer
2025 A* conf
SelectFormer in Data Markets: Privacy-Preserving and Efficient Data Selection for Transformers with Multi-Party Computation.
ICLR
Xu Ouyang, Felix Xiaozhu Lin, Yangfeng Ji
2025 J jnl
Sensing and Steering Stereotypes: Extracting and Applying Gender Representation Vectors in LLMs.
CoRR
Hannah Cyberey, Yangfeng Ji, David Evans
2025 A conf
Synopses of Movie Narratives: a Video-Language Dataset for Story Understanding.
ICME
Yidan Sun, Qin Chao, Yangfeng Ji, Boyang Li
2025 J jnl
Syntactic Blind Spots: How Misalignment Leads to LLMs Mathematical Errors.
CoRR
Dane Williamson, Yangfeng Ji, Matthew B. Dwyer
2025 A* conf
The Good, the Bad, and the Debatable: A Survey on the Impacts of Data for In-Context Learning.
EMNLP
Stephanie Schoch, Yangfeng Ji
2025 A* conf
Unsupervised Concept Vector Extraction for Bias Control in LLMs.
EMNLP
Hannah Cyberey, Yangfeng Ji, David Evans
2024 J jnl
A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension.
CoRR
Saahith Janapati, Yangfeng Ji
2024 — conf
Addressing Both Statistical and Causal Gender Fairness in NLP Models.
NAACL-HLT (Findings)
Hannah Chen, Yangfeng Ji, David Evans
2024 J jnl
Addressing Both Statistical and Causal Gender Fairness in NLP Models.
CoRR
Hannah Chen, Yangfeng Ji, David Evans
2024 J jnl
Design of a wire-driven parallel robot for wind tunnel test based on the analysis of stiffness and workspace.
Robotica
Yangfeng Ji, Miaojiao Peng, Qi Lin
2024 J jnl
Does Differential Privacy Impact Bias in Pretrained Language Models?
IEEE Data Eng. Bull.
Md. Khairul Islam, Andrew Wang, Tianhao Wang, Yangfeng Ji, Judy Fox, Jieyu Zhao
2024 J jnl
Does Differential Privacy Impact Bias in Pretrained NLP Models?
CoRR
Md. Khairul Islam, Andrew Wang, Tianhao Wang, Yangfeng Ji, Judy Fox, Jieyu Zhao
2024 J jnl
Improve Temporal Awareness of LLMs for Sequential Recommendation.
CoRR
Zhendong Chu, Zichao Wang, Ruiyi Zhang, Yangfeng Ji, Hongning Wang, Tong Sun
2024 J jnl
RWKV-edge: Deeply Compressed RWKV for Resource-Constrained Devices.
CoRR
Wonkyo Choe, Yangfeng Ji, Felix Xiaozhu Lin
2024 J jnl
TPIE: Topology-Preserved Image Editing With Text Instructions.
CoRR
Nivetha Jayakumar, Srivardhan Reddy Gadila, Tonmoy Hossain, Yangfeng Ji, Miaomiao Zhang
2024 J jnl
The Mismeasure of Man and Models: Evaluating Allocational Harms in Large Language Models.
CoRR
Hannah Chen, Yangfeng Ji, David Evans
2023 J jnl
Blending Reward Functions via Few Expert Demonstrations for Faithful and Accurate Knowledge-Grounded Dialogue Generation.
CoRR
Wanyu Du, Yangfeng Ji
2023 — conf
Data Selection for Fine-tuning Large Language Models Using Transferred Shapley Values.
ACL (student)
Stephanie Schoch, Ritwick Mishra, Yangfeng Ji
2023 J jnl
Data Selection for Fine-tuning Large Language Models Using Transferred Shapley Values.
CoRR
Stephanie Schoch, Ritwick Mishra, Yangfeng Ji
2023 A* conf
Efficient NLP Model Finetuning via Multistage Data Filtering.
IJCAI
Xu Ouyang, Shahina Mohd Azam Ansari, Felix Xiaozhu Lin, Yangfeng Ji
2023 A* conf
Improving Interpretability via Explicit Word Interaction Graph Layer.
AAAI
Arshdeep Sekhon, Hanjie Chen, Aman Shrivastava, Zhe Wang, Yangfeng Ji, Yanjun Qi
2023 J jnl
Improving Interpretability via Explicit Word Interaction Graph Layer.
CoRR
Arshdeep Sekhon, Hanjie Chen, Aman Shrivastava, Zhe Wang, Yangfeng Ji, Yanjun Qi
2023 — conf
PLAtE: A Large-scale Dataset for List Page Web Extraction.
ACL (industry)
Aidan San, Yuan Zhuang, Jan Bakus, Colin Lockard, David M. Ciemiewicz, Sandeep Atluri, Kevin Small, Yangfeng Ji, Heba Elfardy
2023 J jnl
Pre-training Transformers for Knowledge Graph Completion.
CoRR
Sanxing Chen, Hao Cheng, Xiaodong Liu, Jian Jiao, Yangfeng Ji, Jianfeng Gao
2023 — conf
REV: Information-Theoretic Evaluation of Free-Text Rationales.
ACL (1)
Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta
2023 J jnl
Secure and Effective Data Appraisal for Machine Learning.
CoRR
Xu Ouyang, Changhong Yang, Felix Xiaozhu Lin, Yangfeng Ji
2022 A* conf
Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation.
AAAI
Hanjie Chen, Yangfeng Ji
2022 J jnl
Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation.
CoRR
Hanjie Chen, Yangfeng Ji
2022 A* conf
Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models.
EMNLP
Hannah Chen, Yangfeng Ji, David E. Evans
2022 J jnl
Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models.
CoRR
Hannah Chen, Yangfeng Ji, David Evans
2022 A* conf
CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification.
NeurIPS
Stephanie Schoch, Haifeng Xu, Yangfeng Ji
2022 J jnl
CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification.
CoRR
Stephanie Schoch, Haifeng Xu, Yangfeng Ji
2022 J jnl
Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors.
CoRR
Wanyu Du, Jianqiao Zhao, Liwei Wang, Yangfeng Ji
2022 J jnl
Efficient Model Finetuning for Text Classification via Data Filtering.
CoRR
Xu Ouyang, Shahina Mohd Azam Ansari, Felix Xiaozhu Lin, Yangfeng Ji
2022 J jnl
Explaining Prediction Uncertainty of Pre-trained Language Models by Detecting Uncertain Words in Inputs.
CoRR
Hanjie Chen, Yangfeng Ji
2022 A* conf
FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows.
EMNLP
Jianqiao Zhao, Yanyang Li, Wanyu Du, Yangfeng Ji, Dong Yu, Michael R. Lyu, Liwei Wang
2022 J jnl
FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows.
CoRR
Jianqiao Zhao, Yanyang Li, Wanyu Du, Yangfeng Ji, Dong Yu, Michael R. Lyu, Liwei Wang
2022 — conf
Identifying the Source of Vulnerability in Explanation Discrepancy: A Case Study in Neural Text Classification.
BlackboxNLP@EMNLP
Ruixuan Tang, Hanjie Chen, Yangfeng Ji
2022 J jnl
Identifying the Source of Vulnerability in Explanation Discrepancy: A Case Study in Neural Text Classification.
CoRR
Ruixuan Tang, Hanjie Chen, Yangfeng Ji
2022 J jnl
PLAtE: A Large-scale Dataset for List Page Web Extraction.
CoRR
Aidan San, Jan Bakus, Colin Lockard, David M. Ciemiewicz, Yangfeng Ji, Sandeep Atluri, Kevin Small, Heba Elfardy
2022 — conf
Pathologies of Pre-trained Language Models in Few-shot Fine-tuning.
Insights@ACL
Hanjie Chen, Guoqing Zheng, Ahmed Hassan Awadallah, Yangfeng Ji
2022 J jnl
Pathologies of Pre-trained Language Models in Few-shot Fine-tuning.
CoRR
Hanjie Chen, Guoqing Zheng, Ahmed Hassan Awadallah, Yangfeng Ji
2022 J jnl
Pre-trained Sentence Embeddings for Implicit Discourse Relation Classification.
CoRR
Murali Raghu Babu Balusu, Yangfeng Ji, Jacob Eisenstein
2022 J jnl
REV: Information-Theoretic Evaluation of Free-Text Rationales.
CoRR
Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta
2022 J jnl
Self-augmented Data Selection for Few-shot Dialogue Generation.
CoRR
Wanyu Du, Hanjie Chen, Yangfeng Ji
2022 — conf
Self-training with Two-phase Self-augmentation for Few-shot Dialogue Generation.
EMNLP (Findings)
Wanyu Du, Hanjie Chen, Yangfeng Ji
2022 — conf
White-box Testing of NLP models with Mask Neuron Coverage.
NAACL-HLT (Findings)
Arshdeep Sekhon, Yangfeng Ji, Matthew B. Dwyer, Yanjun Qi
2022 J jnl
White-box Testing of NLP models with Mask Neuron Coverage.
CoRR
Arshdeep Sekhon, Yangfeng Ji, Matthew B. Dwyer, Yanjun Qi
2021 C conf
Charging at Second Culmination? Optimal Freemium Pricing for E-books via Field Experiment and Text Analysis.
ICIS
Hanbing Xue, Yongjun Li, Natasha Zhang Foutz, Yangfeng Ji
2021 B conf
Contextualizing Variation in Text Style Transfer Datasets.
INLG
Stephanie Schoch, Wanyu Du, Yangfeng Ji
2021 J jnl
Contextualizing Variation in Text Style Transfer Datasets.
CoRR
Stephanie Schoch, Wanyu Du, Yangfeng Ji
2021 — conf
Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks.
NAACL-HLT
Hanjie Chen, Song Feng, Jatin Ganhotra, Hui Wan, R. Chulaka Gunasekara, Sachindra Joshi, Yangfeng Ji
2021 J jnl
Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks.
CoRR
Hanjie Chen, Song Feng, Jatin Ganhotra, Hui Wan, R. Chulaka Gunasekara, Sachindra Joshi, Yangfeng Ji
2021 — conf
HittER: Hierarchical Transformers for Knowledge Graph Embeddings.
EMNLP (1)
Sanxing Chen, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang, Yangfeng Ji
2021 — conf
Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing.
BlackboxNLP@EMNLP
Sanchit Sinha, Hanjie Chen, Arshdeep Sekhon, Yangfeng Ji, Yanjun Qi
2021 J jnl
Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing.
CoRR
Sanchit Sinha, Hanjie Chen, Arshdeep Sekhon, Yangfeng Ji, Yanjun Qi
2021 — ed.
Proceedings of the 1st Workshop on Document-grounded Dialogue and Conversational Question Answering, DialDoc@ACL-IJCNLP 2021, Online, August 5, 2021
DialDoc@ACL-IJCNLP
Song Feng, Siva Reddy, Malihe Alikhani, He He, Yangfeng Ji, Mohit Iyyer, Zhou Yu
2021 — conf
SideControl: Controlled Open-domain Dialogue Generation via Additive Side Networks.
EMNLP (Findings)
Wanyu Du, Yangfeng Ji
2021 J jnl
SideControl: Controlled Open-domain Dialogue Generation via Additive Side Networks.
CoRR
Wanyu Du, Yangfeng Ji
2021 J jnl
Simple Text Detoxification by Identifying a Linear Toxic Subspace in Language Model Embeddings.
CoRR
Andrew Wang, Mohit Sudhakar, Yangfeng Ji
2021 J jnl
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics.
CoRR
Sebastian Gehrmann, Tosin P. Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna-Adriana Clinciu, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondrej Dusek, Chris Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Rubungo Andre Niyongabo, Salomey Osei, Ankur P. Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, João Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hendrik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola, Jiawei Zhou
2020 B conf
A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing.
COLING
Sanxing Chen, Aidan San, Xiaodong Liu, Yangfeng Ji
2020 J jnl
A Tale of Two Linkings: Dynamically Gating between Schema Linking and Structural Linking for Text-to-SQL Parsing.
CoRR
Sanxing Chen, Aidan San, Xiaodong Liu, Yangfeng Ji
2020 — conf
Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory.
EMNLP (Findings)
Hannah Chen, Yangfeng Ji, David E. Evans
2020 J jnl
Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory.
CoRR
Hannah Chen, Yangfeng Ji, David Evans
2020 A* conf
Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection.
ACL
Hanjie Chen, Guangtao Zheng, Yangfeng Ji
2020 J jnl
Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection.
CoRR
Hanjie Chen, Guangtao Zheng, Yangfeng Ji
2020 J jnl
HittER: Hierarchical Transformers for Knowledge Graph Embeddings.
CoRR
Sanxing Chen, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang, Yangfeng Ji
2020 — conf
Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers.
EMNLP (1)
Hanjie Chen, Yangfeng Ji
2020 J jnl
Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers.
CoRR
Hanjie Chen, Yangfeng Ji
2020 — conf
Pointwise Paraphrase Appraisal is Potentially Problematic.
ACL (student)
Hannah Chen, Yangfeng Ji, David Evans
2020 J jnl
Pointwise Paraphrase Appraisal is Potentially Problematic.
CoRR
Hannah Chen, Yangfeng Ji, David Evans
2020 — conf
Reevaluating Adversarial Examples in Natural Language.
EMNLP (Findings)
John X. Morris, Eli Lifland, Jack Lanchantin, Yangfeng Ji, Yanjun Qi
2020 J jnl
Reevaluating Adversarial Examples in Natural Language.
CoRR
John X. Morris, Eli Lifland, Jack Lanchantin, Yangfeng Ji, Yanjun Qi
2020 — conf
The Amazing World of Neural Language Generation.
EMNLP (Tutorial Abstracts)
Yangfeng Ji, Antoine Bosselut, Thomas Wolf, Asli Celikyilmaz
2019 — conf
An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation.
EMNLP/IJCNLP (1)
Wanyu Du, Yangfeng Ji
2019 J jnl
An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation.
CoRR
Wanyu Du, Yangfeng Ji
2019 J jnl
Improving the Interpretability of Neural Sentiment Classifiers via Data Augmentation.
CoRR
Hanjie Chen, Yangfeng Ji
2018 A conf
Creative Writing with a Machine in the Loop: Case Studies on Slogans and Stories.
IUI
Elizabeth Clark, Anne Spencer Ross, Chenhao Tan, Yangfeng Ji, Noah A. Smith
2018 — conf
Neural Text Generation in Stories Using Entity Representations as Context.
NAACL-HLT
Elizabeth Clark, Yangfeng Ji, Noah A. Smith
2017 J jnl
DyNet: The Dynamic Neural Network Toolkit.
CoRR
Graham Neubig, Chris Dyer, Yoav Goldberg, Austin Matthews, Waleed Ammar, Antonios Anastasopoulos, Miguel Ballesteros, David Chiang, Daniel Clothiaux, Trevor Cohn, Kevin Duh, Manaal Faruqui, Cynthia Gan, Dan Garrette, Yangfeng Ji, Lingpeng Kong, Adhiguna Kuncoro, Gaurav Kumar, Chaitanya Malaviya, Paul Michel, Yusuke Oda, Matthew Richardson, Naomi Saphra, Swabha Swayamdipta, Pengcheng Yin
2017 A* conf
Dynamic Entity Representations in Neural Language Models.
EMNLP
Yangfeng Ji, Chenhao Tan, Sebastian Martschat, Yejin Choi, Noah A. Smith
2017 J jnl
Dynamic Entity Representations in Neural Language Models.
CoRR
Yangfeng Ji, Chenhao Tan, Sebastian Martschat, Yejin Choi, Noah A. Smith
2017 — conf
Neural Discourse Structure for Text Categorization.
ACL (1)
Yangfeng Ji, Noah A. Smith
2017 J jnl
Neural Discourse Structure for Text Categorization.
CoRR
Yangfeng Ji, Noah A. Smith
2016 J jnl
A Latent Variable Recurrent Neural Network for Discourse Relation Language Models.
CoRR
Yangfeng Ji, Gholamreza Haffari, Jacob Eisenstein
2016 — conf
A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models.
HLT-NAACL
Yangfeng Ji, Gholamreza Haffari, Jacob Eisenstein
2016 J jnl
LSTM based Conversation Models.
CoRR
Yi Luan, Yangfeng Ji, Mari Ostendorf
2016 — conf
Multiplicative Representations for Unsupervised Semantic Role Induction.
ACL (2)
Yi Luan, Yangfeng Ji, Hannaneh Hajishirzi, Boyang Li
2016 — —
Semantic representation learning for discourse processing.
Yangfeng Ji
2015 — conf
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses.
HLT-NAACL
Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Margaret Mitchell, Jian-Yun Nie, Jianfeng Gao, Bill Dolan
2015 J jnl
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses.
CoRR
Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Margaret Mitchell, Jian-Yun Nie, Jianfeng Gao, Bill Dolan
2015 A* conf
Better Document-level Sentiment Analysis from RST Discourse Parsing.
EMNLP
Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein
2015 J jnl
Better Document-level Sentiment Analysis from RST Discourse Parsing.
CoRR
Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein
2015 A* conf
Closing the Gap: Domain Adaptation from Explicit to Implicit Discourse Relations.
EMNLP
Yangfeng Ji, Gongbo Zhang, Jacob Eisenstein
2015 J jnl
Document Context Language Models.
CoRR
Yangfeng Ji, Trevor Cohn, Lingpeng Kong, Chris Dyer, Jacob Eisenstein
2015 — conf
Entity-Augmented Distributional Semantics for Discourse Relations.
ICLR (Workshop)
Yangfeng Ji, Jacob Eisenstein
2015 J jnl
One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations.
Trans. Assoc. Comput. Linguistics
Yangfeng Ji, Jacob Eisenstein
2015 — conf
deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets.
ACL (2)
Michel Galley, Chris Brockett, Alessandro Sordoni, Yangfeng Ji, Michael Auli, Chris Quirk, Margaret Mitchell, Jianfeng Gao, Bill Dolan
2015 J jnl
deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets.
CoRR
Michel Galley, Chris Brockett, Alessandro Sordoni, Yangfeng Ji, Michael Auli, Chris Quirk, Margaret Mitchell, Jianfeng Gao, Bill Dolan
2014 Misc conf
A variational Bayesian model for user intent detection.
ICASSP
Yangfeng Ji, Dilek Hakkani-Tür, Asli Celikyilmaz, Larry P. Heck, Gökhan Tür
2014 J jnl
Extracting Lexically Divergent Paraphrases from Twitter.
Trans. Assoc. Comput. Linguistics
Wei Xu, Alan Ritter, Chris Callison-Burch, William B. Dolan, Yangfeng Ji
2014 — conf
Mining Themes and Interests in the Asperger's and Autism Community.
CLPsych@ACL
Yangfeng Ji, Hwajung Hong, Rosa I. Arriaga, Agata Rozga, Gregory D. Abowd, Jacob Eisenstein
2014 J jnl
One Vector is Not Enough: Entity-Augmented Distributional Semantics for Discourse Relations.
CoRR
Yangfeng Ji, Jacob Eisenstein
2014 — conf
Representation Learning for Text-level Discourse Parsing.
ACL (1)
Yangfeng Ji, Jacob Eisenstein
2013 A* conf
Discriminative Improvements to Distributional Sentence Similarity.
EMNLP
Yangfeng Ji, Jacob Eisenstein
2010 B conf
CDP Mixture Models for Data Clustering.
ICPR
Yangfeng Ji, Tong Lin, Hongbin Zha
2009 C conf
Mahalanobis Distance Based Non-negative Sparse Representation for Face Recognition.
ICMLA
Yangfeng Ji, Tong Lin, Hongbin Zha