Publications (36)
IcoRating: A Deep-Learning System for Scam ICO Identification
Shuqing Bian, Zhenpeng Deng, Fei Li +9
Relation-Aware Pyramid Network (RapNet) for temporal action proposal
Jialin Gao, Zhixiang Shi, Jiani Li +3
Learning multi-faceted representations of individuals from heterogeneous evidence using neural networks
Jiwei Li, Alan Ritter, Dan Jurafsky
Reflections on Sentiment/Opinion Analysis
Jiwei Li, Eduard Hovy
A novel pyramidal-FSMN architecture with lattice-free MMI for speech recognition
Xuerui Yang, Jiwei Li, Xi Zhou
Feature Weight Tuning for Recursive Neural Networks
Jiwei Li
Query-focused Multi-document Summarization: Combining a Novel Topic Model with Graph-based Semi-supervised Learning
Jiwei Li, Sujian Li
Timeline Generation: Tracking individuals on Twitter
Jiwei Li, Claire Cardie
Adversarial Learning for Neural Dialogue Generation
Jiwei Li, Will Monroe, Tianlin Shi +3
DenseBody: Directly Regressing Dense 3D Human Pose and Shape From a Single Color Image
Pengfei Yao, Zheng Fang, Fan Wu +2
Understanding Neural Networks through Representation Erasure
Jiwei Li, Will Monroe, Dan Jurafsky
A Hierarchical Neural Autoencoder for Paragraphs and Documents
Jiwei Li, Minh-Thang Luong, Dan Jurafsky
Cascaded CNN-resBiLSTM-CTC: An End-to-End Acoustic Model For Speech Recognition
Xinpei Zhou, Jiwei Li, Xi Zhou
Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints
Ashutosh Baheti, Alan Ritter, Jiwei Li +1
A Simple, Fast Diverse Decoding Algorithm for Neural Generation
Jiwei Li, Will Monroe, Dan Jurafsky
When Are Tree Structures Necessary for Deep Learning of Representations?
Jiwei Li, Minh-Thang Luong, Dan Jurafsky +1
What a Nasty day: Exploring Mood-Weather Relationship from Twitter
Jiwei Li, Xun Wang, Eduard Hovy
Neural Net Models for Open-Domain Discourse Coherence
Jiwei Li, Dan Jurafsky
A Novel Feature-based Bayesian Model for Query Focused Multi-document Summarization
Jiwei Li, Sujian Li
Learning Discriminative Features with Multiple Granularities for Person Re-Identification
Guanshuo Wang, Yufeng Yuan, Xiong Chen +2
Deep Reinforcement Learning for Dialogue Generation
Jiwei Li, Will Monroe, Alan Ritter +3
Learning to Decode for Future Success
Jiwei Li, Will Monroe, Dan Jurafsky
A Diversity-Promoting Objective Function for Neural Conversation Models
Jiwei Li, Michel Galley, Chris Brockett +2
A Persona-Based Neural Conversation Model
Jiwei Li, Michel Galley, Chris Brockett +3
Dialogue Learning With Human-In-The-Loop
Jiwei Li, Alexander H. Miller, Sumit Chopra +2
An improved hybrid CTC-Attention model for speech recognition
Zhe Yuan, Zhuoran Lyu, Jiwei Li +1
Visualizing and Understanding Neural Models in NLP
Jiwei Li, Xinlei Chen, Eduard Hovy +1
Learning through Dialogue Interactions by Asking Questions
Jiwei Li, Alexander H. Miller, Sumit Chopra +2
Data Noising as Smoothing in Neural Network Language Models
Ziang Xie, Sida I. Wang, Jiwei Li +4
The NLP Engine: A Universal Turing Machine for NLP
Jiwei Li, Eduard Hovy
Mutual Information and Diverse Decoding Improve Neural Machine Translation
Jiwei Li, Dan Jurafsky
Data Distillation for Controlling Specificity in Dialogue Generation
Jiwei Li, Will Monroe, Dan Jurafsky
Inferring User Preferences by Probabilistic Logical Reasoning over Social Networks
Jiwei Li, Alan Ritter, Dan Jurafsky
Early Stage Influenza Detection from Twitter
Jiwei Li, Claire Cardie
Pixel-Anchor: A Fast Oriented Scene Text Detector with Combined Networks
Yuan Li, Yuanjie Yu, Zefeng Li +4
Do Multi-Sense Embeddings Improve Natural Language Understanding?
Jiwei Li, Dan Jurafsky