I have published more than 60 papers, with over 1500 citations total. See my Google Scholar profile for a full list of my publications.

Generative AI

• Differentially Private Gradient Flow based on the Sliced Wasserstein Distance for Non-Parametric Generative Modeling (arXiv 2023)

• Unifying GANs and Score-Based Diffusion as Generative Particle Models (NeurIPS 2023)

• Evaluating the Generalization Property of Prefix-based Methods for Data-to-text Generation (Conférence sur le Traitement Automatique des Langues Naturelles [TALN] 2023)

• Learning from Multiple Sources for Data-to-Text and Text-to-Data (AISTATS 2023)

Subset selection and diversity learning

This work involves Determinantal Point Processes (DPPs), which are a class of discrete distributions used for modeling selection of diverse subsets of items. DPPs have received growing attention in the machine learning community over the past decade, and have many applications in areas such as reinforcement learning, recommendation systems, language model decoding, document summarization, and minibatch selection.

• Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes (ICML 2022, long presentation)

• Scalable Sampling for Nonsymmetric Determinantal Point Processes (ICLR 2022, spotlight presentation)

• Scalable Learning and MAP inference for Nonsymmetric Determinantal Point Processes (ICLR 2021, oral presentation)

• Learning Nonsymmetric Determinantal Point Processes (NeurIPS 2019)

• Learning Determinantal Point Processes by Corrective Negative Sampling (AISTATS 2019)

• Low-Rank Factorization of Determinantal Point Processes (AAAI 2017)

Recommender Systems

• Combining Reward and Rank Signals for Slate Recommendation (KDD 2021 Workshop on Bayesian Causal Inference for Real World Interactive Systems)

• Tensorized determinantal point processes for recommendation (KDD 2019)

• Bayesian Low-Rank Determinantal Point Processes (RecSys 2016)

• A Large-scale Exploration of Group Viewing Patterns (TVX 2014, honorable mention for best paper award)

• Enhancing Group Recommendation by Incorporating Social Relationship Interactions (GROUP 2010)

Mobile and Social Computing

• Supporting Healthy Grocery Shopping via Mobile Augmented Reality (ACM Transactions on Multimedia Computing, Communications, and Applications 2015)

• AnchorMF: Towards Effective Event Context Identification (CIKM 2013)

• Fusing Mobile, Sensor, and Social Data To Fully Enable Context-Aware Computing (HOTMOBILE 2010)

• WhozThat? Evolving an Ecosystem for Context-Aware Mobile Social Networks (IEEE Network 2008)