66 citations · 216 across the 10 of their papers we have counts for
10 papers
Differentiable Product Quantization for End-to-End Embedding Compression
Ting Chen, Lala Li, Yizhou Sun
Embedding layers are commonly used to map discrete symbols into continuous embedding vectors that reflect their semantic meanings. Despite their effectiveness, the number of parame…
Few-Shot Representation Learning for Out-Of-Vocabulary Words
Ziniu Hu, Ting Chen, Kai-Wei Chang +1
Existing approaches for learning word embeddings often assume there are sufficient occurrences for each word in the corpus, such that the representation of words can be accurately…
Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification
Ting Chen, Song Bian, Yizhou Sun
Graph Neural Nets (GNNs) have received increasing attentions, partially due to their superior performance in many node and graph classification tasks. However, there is a lack of u…
Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations
Ting Chen, Martin Renqiang Min, Yizhou Sun
Conventional embedding methods directly associate each symbol with a continuous embedding vector, which is equivalent to applying a linear transformation based on a "one-hot" encod…
HeteroMed: Heterogeneous Information Network for Medical Diagnosis
Anahita Hosseini, Ting Chen, Wenjun Wu +2
With the recent availability of Electronic Health Records (EHR) and great opportunities they offer for advancing medical informatics, there has been growing interest in mining EHR…
Learning K-way D-dimensional Discrete Code For Compact Embedding Representations
Ting Chen, Martin Renqiang Min, Yizhou Sun
Embedding methods such as word embedding have become pillars for many applications containing discrete structures. Conventional embedding methods directly associate each symbol wit…
On Sampling Strategies for Neural Network-based Collaborative Filtering
Ting Chen, Yizhou Sun, Yue Shi +1
Recent advances in neural networks have inspired people to design hybrid recommendation algorithms that can incorporate both (1) user-item interaction information and (2) content i…
Joint Text Embedding for Personalized Content-based Recommendation
Ting Chen, Liangjie Hong, Yue Shi +1
Learning a good representation of text is key to many recommendation applications. Examples include news recommendation where texts to be recommended are constantly published every…
Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification
Ting Chen, Yizhou Sun
In this paper, we study the problem of author identification under double-blind review setting, which is to identify potential authors given information of an anonymized paper. Dif…
Entity Embedding-based Anomaly Detection for Heterogeneous Categorical Events
Ting Chen, Lu-An Tang, Yizhou Sun +2
Anomaly detection plays an important role in modern data-driven security applications, such as detecting suspicious access to a socket from a process. In many cases, such events ca…