Automatic physical design tuning: workload as a sequence. - Sanjay Agrawal 001; Eric Chu; Vivek R. Narasayya (SIGMOD Conference, 2006)

The case for a wide-table approach to manage sparse relational data sets. - Eric Chu; Jennifer L. Beckmann; Jeffrey F. Naughton (SIGMOD Conference, 2007)

A Relational Approach to Incrementally Extracting and Querying Structure in Unstructured Data. - Eric Chu; Akanksha Baid; Ting Chen; AnHai Doan; Jeffrey F. Naughton (VLDB, 2007)

Information extraction challenges in managing unstructured data. - AnHai Doan; Jeffrey F. Naughton; Raghu Ramakrishnan 001; Akanksha Baid; Xiaoyong Chai; Fei Chen 002; Ting Chen; Eric Chu; Pedro DeRose; Byron J. Gao; Chaitanya Gokhale; Jiansheng Huang; et al. (SIGMOD Rec., 2008)

The Case for a Structured Approach to Managing Unstructured Data. - AnHai Doan; Jeffrey F. Naughton; Akanksha Baid; Xiaoyong Chai; Fei Chen 002; Ting Chen; Eric Chu; Pedro DeRose; Byron J. Gao; Chaitanya Gokhale; Jiansheng Huang; Warren Shen; et al. (CIDR, 2009)

Combining keyword search and forms for ad hoc querying of databases. - Eric Chu; Akanksha Baid; Xiaoyong Chai; AnHai Doan; Jeffrey F. Naughton (SIGMOD Conference, 2009)

Using Near-Field Stereo Vision for Robotic Grasping in Cluttered Environments. - Adam Leeper; Kaijen Hsiao; Eric Chu; J. Kenneth Salisbury (ISER, 2010)

Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers. - Stephen P. Boyd; Neal Parikh; Eric Chu; Borja Peleato; Jonathan Eckstein (Found. Trends Mach. Learn., 2011)

Moving horizon estimation for staged QP problems. - Eric Chu; Arezou Keshavarz; Dimitry M. Gorinevsky; Stephen P. Boyd (CDC, 2012)

Message Passing for Dynamic Network Energy Management - Matt Kraning; Eric Chu; Javad Lavaei; Stephen P. Boyd (CoRR, 2012)

Code generation for embedded second-order cone programming. - Eric Chu; Neal Parikh; Alexander Domahidi; Stephen P. Boyd (ECC, 2013)

ECOS: An SOCP solver for embedded systems. - Alexander Domahidi; Eric Chu; Stephen P. Boyd (ECC, 2013)

Dynamic Network Energy Management via Proximal Message Passing. - Matt Kraning; Eric Chu; Javad Lavaei; Stephen P. Boyd (Found. Trends Optim., 2014)

Human Atlas: A Tool for Mapping Social Networks. - Martin Saveski; Eric Chu; Soroush Vosoughi; Deb Roy (WWW (Companion Volume), 2016)

Conic Optimization via Operator Splitting and Homogeneous Self-Dual Embedding. - Brendan O'Donoghue; Eric Chu; Neal Parikh; Stephen P. Boyd (J. Optim. Theory Appl., 2016)

Audio-Visual Sentiment Analysis for Learning Emotional Arcs in Movies. - Eric Chu; Deb Roy (ICDM, 2017)

Learning Personas from Dialogue with Attentive Memory Networks. - Eric Chu; Prashanth Vijayaraghavan; Deb Roy (EMNLP, 2018)

Family Learning Coach: Engaging Families in Children's Early Literacy Learning with Computer-Supported Tools. - Anneli Hershman; Juliana Nazare; Ivan Sysoev; Lauren Fratamico; Juanita Buitrago; Mina Soltangheis; Sneha Priscilla Makini; Eric Chu; Deb Roy (ICCE, 2018)

Child-Coach-Parent Network for Early Literacy Learning. - Juliana Nazare; Anneli Hershman; Ivan Sysoev; Lauren Fratamico; Juanita Buitrago; Mina Soltangheis; Sneha Priscilla Makini; Eric Chu; Deb Roy (ICLS, 2018)

Unsupervised Neural Multi-document Abstractive Summarization. - Eric Chu; Peter J. Liu (CoRR, 2018)

Automated Performance Management for the Big Data Stack. - Anastasios Arvanitis; Shivnath Babu; Eric Chu; Adrian Popescu; Alkis Simitsis; Kevin Wilkinson (CIDR, 2019)

MeanSum: A Neural Model for Unsupervised Multi-Document Abstractive Summarization. - Eric Chu; Peter J. Liu (ICML, 2019)

DAPPER: Learning Domain-Adapted Persona Representation Using Pretrained BERT and External Memory. - Prashanth Vijayaraghavan; Eric Chu; Deb Roy (AACL/IJCNLP, 2020)

Games for Fairness and Interpretability. - Eric Chu; Nabeel Gillani; Sneha Priscilla Makini (WWW (Companion Volume), 2020)

Are Visual Explanations Useful? A Case Study in Model-in-the-Loop Prediction. - Eric Chu; Deb Roy; Jacob Andreas (CoRR, 2020)

Evolving Evocative 2D Views of Generated 3D Objects. - Eric Chu (CoRR, 2021)

Exploring alternatives with Unreal Engine's Blueprints Visual Scripting System. - Eric Chu; Loutfouz Zaman (Entertain. Comput., 2021)

Language Models Trained on Media Diets Can Predict Public Opinion. - Eric Chu; Jacob Andreas; Stephen Ansolabehere; Deb Roy (CoRR, 2023)

PaLM 2 Technical Report. - Rohan Anil; Andrew M. Dai; Orhan Firat; Melvin Johnson; Dmitry Lepikhin; Alexandre Passos; Siamak Shakeri; Emanuel Taropa; Paige Bailey; Zhifeng Chen; Eric Chu; Jonathan H. Clark; et al. (CoRR, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Many-Shot In-Context Learning. - Rishabh Agarwal; Avi Singh; Lei Zhang; Bernd Bohnet; Luis Rosias; Stephanie C. Y. Chan; Biao Zhang; Ankesh Anand; Zaheer Abbas; Azade Nova; John D. Co-Reyes; Eric Chu; et al. (NeurIPS, 2024)

Many-Shot In-Context Learning. - Rishabh Agarwal; Avi Singh; Lei M. Zhang; Bernd Bohnet; Stephanie Chan 003; Ankesh Anand; Zaheer Abbas; Azade Nova; John D. Co-Reyes; Eric Chu; Feryal M. P. Behbahani; Aleksandra Faust; et al. (CoRR, 2024)

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities. - Gheorghe Comanici; Eric Bieber; Mike Schaekermann; Ice Pasupat; Noveen Sachdeva; Inderjit S. Dhillon; Marcel Blistein; Ori Ram; Dan Zhang; Evan Rosen; Luke Marris; Sam Petulla; et al. (CoRR, 2025)