Meng Fang

Enhancing the Robustness of Neural Collaborative Filtering Systems Under Malicious Attacks

2018 · IEEE Transactions on Multimedia

Recommendation systems have become ubiquitous in online shopping in recent decades due to their power in reducing excessive choices of customers and industries. Recent collaborative filtering methods based on the deep neural network are studied …

BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering

2019 · arXiv (Cornell University)

Multi-hop reasoning question answering requires deep comprehension of relationships between various documents and queries. We propose a Bi-directional Attention Entity Graph Convolutional Network (BAG), leveraging relationships between nodes in an entity graph and attention information …

Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition

2019

We propose a new neural transfer method termed Dual Adversarial Transfer Network (DATNet) for addressing low-resource Named Entity Recognition (NER). Specifically, two variants of DATNet, i.e., DATNet-F and DATNet-P, are investigated to explore effective feature …

A Corpus-free State2Seq User Simulator for Task-oriented Dialogue

2019 · arXiv (Cornell University)

Recent reinforcement learning algorithms for task-oriented dialogue system absorbs a lot of interest. However, an unavoidable obstacle for training such algorithms is that annotated dialogue corpora are often unavailable. One of the popular approaches addressing …

MHER: Model-based Hindsight Experience Replay

2021 · arXiv (Cornell University)

Solving multi-goal reinforcement learning (RL) problems with sparse rewards is generally challenging. Existing approaches have utilized goal relabeling on collected experiences to alleviate issues raised from sparse rewards. However, these methods are still limited in …

A Research on Applications of Blockchain Consensus Protocols in Digital Copyright Protection

2023

Blockchain technology has attracted great attention in the field of digital copyright protection and provided a new method for effective protection of digital copyright. The consensus protocols, a crucial component of blockchain technology, enables nodes …

OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models

2024 · arXiv (Cornell University)

In this technical report, we introduce OpenR, an open-source framework designed to integrate key components for enhancing the reasoning capabilities of large language models (LLMs). OpenR unifies data acquisition, reinforcement learning training (both online and …

Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning

2026 · Proceedings of the AAAI Conference on Artificial Intelligence

Exploration is critical for cooperative multi agent reinforcement learning (MARL) to improve sample efficiency. However, existing intrinsic motivation based exploration strategies in MARL overlook the causal relationships among agents, global states, and rewards, suffering from …

Learning how to Active Learn: A Deep Reinforcement Learning Approach

2017

Active learning aims to select a small subset of data for annotation such that a classifier learned on the data is highly accurate. This is usually done using heuristic selection methods, however the effectiveness of …