Jian Tang
10 papers in the PaperMetrix corpus
Papers by this author
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A Profit Optimization Framework of Energy Storage Devices in Data Centers: Hierarchical Structure and Hybrid Types
2016
This paper investigates the hierarchical deployment and over-provisioning of energy storage devices (ESDs) in data ceners by (i) adopting a realistic power delivery architecture (from Intel) for centralized ESD structure as the starting point, (ii) …
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Attending Over Triads for Learning Signed Network Embedding
2019 · Frontiers in Big Data
Network embedding, which aims at learning distributed representations for nodes in networks, is a critical task with wide downstream applications. Most existing studies focus on networks with a single type of edges, whereas in many …
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P4PCN: Privacy-Preserving Path Probing for Payment Channel Networks
2019
Recent advances in security and cryptography have enabled new paradigms for secure networking in various scenarios. The payment channel network (PCN) is a notable example, which has emerged from the combination of the traditional credit …
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GraphText: Graph Reasoning in Text Space
2023 · arXiv (Cornell University)
Large Language Models (LLMs) have gained the ability to assimilate human knowledge and facilitate natural language interactions with both humans and other LLMs. However, despite their impressive achievements, LLMs have not made significant advancements in …
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In-Context Learning Can Re-learn Forbidden Tasks
2024 · arXiv (Cornell University)
Despite significant investment into safety training, large language models (LLMs) deployed in the real world still suffer from numerous vulnerabilities. One perspective on LLM safety training is that it algorithmically forbids the model from answering …
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Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence
2024 · arXiv (Cornell University)
Recent years have witnessed a thriving growth of computing facilities connected at the network edge, cultivating edge networks as a fundamental infrastructure for supporting miscellaneous intelligent services.Meanwhile, Artificial Intelligence (AI) frontiers have extrapolated to the …
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AutoInt
2019
Click-through rate (CTR) prediction, which aims to predict the probability of a user clicking on an ad or an item, is critical to many online applications such as online advertising and recommender systems. The problem …
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Session-Based Social Recommendation via Dynamic Graph Attention Networks
2019
Online communities such as Facebook and Twitter are enormously popular and have become an essential part of the daily life of many of their users. Through these platforms, users can discover and create information that …
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KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
2019 · arXiv (Cornell University)
Pre-trained language representation models (PLMs) cannot well capture factual knowledge from text. In contrast, knowledge embedding (KE) methods can effectively represent the relational facts in knowledge graphs (KGs) with informative entity embeddings, but conventional KE …
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KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
2021 · Transactions of the Association for Computational Linguistics
Abstract Pre-trained language representation models (PLMs) cannot well capture factual knowledge from text. In contrast, knowledge embedding (KE) methods can effectively represent the relational facts in knowledge graphs (KGs) with informative entity embeddings, but conventional …