Cydex: Neural Search Infrastructure for the Scholarly Literature. - Shane Ding; Edwin Zhang; Jimmy Lin (SDP@EMNLP, 2020)

Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset. - Edwin Zhang; Nikhil Gupta 009; Raphael Tang; Xiao Han; Ronak Pradeep; Kuang Lu; Yue Zhang 043; Rodrigo Nogueira 001; Kyunghyun Cho; Hui Fang 001; Jimmy Lin (SDP@EMNLP, 2020)

Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset: Preliminary Thoughts and Lessons Learned. - Edwin Zhang; Nikhil Gupta 009; Rodrigo Nogueira 001; Kyunghyun Cho; Jimmy Lin (CoRR, 2020)

Rapidly Bootstrapping a Question Answering Dataset for COVID-19. - Raphael Tang; Rodrigo Nogueira 001; Edwin Zhang; Nikhil Gupta 009; Phuong Cam; Kyunghyun Cho; Jimmy Lin (CoRR, 2020)

Open Data Standard and Analysis Framework: Towards Response Equity in Local Governments. - Joy Hsu; Ramya Ravichandran; Edwin Zhang; Christine Keung (EAAMO, 2021)

Interactive Grounded Language Understanding in a Collaborative Environment: Retrospective on Iglu 2022 Competition. - Julia Kiseleva; Alexey Skrynnik; Artem Zholus; Shrestha Mohanty; Negar Arabzadeh; Marc-Alexandre Côté; Mohammad Aliannejadi; Milagro Teruel; Ziming Li 001; Mikhail Burtsev 001; Maartje ter Hoeve; Zoya Volovikova; et al. (NeurIPS (Competition and Demos), 2021)

Chatty Goose: A Python Framework for Conversational Search. - Edwin Zhang; Sheng-Chieh Lin; Jheng-Hong Yang; Ronak Pradeep; Rodrigo Nogueira 001; Jimmy Lin (SIGIR, 2021)

LAD: Language Augmented Diffusion for Reinforcement Learning. - Edwin Zhang; Yujie Lu; William Wang 001; Amy Zhang 001 (CoRR, 2022)

Offline Reinforcement Learning with Closed-Form Policy Improvement Operators. - Jiachen Li; Edwin Zhang; Ming Yin 003; Qinxun Bai; Yu-Xiang Wang 003; William Yang Wang (ICML, 2023)

Towards Zero Shot Learning in Restless Multi-armed Bandits. - Yunfan Zhao; Nikhil Behari; Edward Hughes 001; Edwin Zhang; Dheeraj Nagaraj; Karl Tuyls; Aparna Taneja; Milind Tambe (AAMAS, 2024)

Toward Computationally Efficient Inverse Reinforcement Learning via Reward Shaping. - Lauren H. Cooke; Harvey Klyne; Edwin Zhang; Cassidy Laidlaw; Milind Tambe; Finale Doshi-Velez (Tiny Papers @ ICLR, 2024)

Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks. - Edwin Zhang; Yujie Lu; Shinda Huang; William Yang Wang; Amy Zhang 001 (ICLR, 2024)

Position: Social Environment Design Should be Further Developed for AI-based Policy-Making. - Edwin Zhang; Sadie Zhao; Tonghan Wang 001; Safwan Hossain; Henry Gasztowtt; Stephan Zheng; David C. Parkes; Milind Tambe; Yiling Chen 001 (ICML, 2024)

Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization. - Yunfan Zhao; Nikhil Behari; Edward Hughes 001; Edwin Zhang; Dheeraj Nagaraj; Karl Tuyls; Aparna Taneja; Milind Tambe (IJCAI, 2024)

Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning. - Danqing Wang; Antonis Antoniades; Kha-Dinh Luong; Edwin Zhang; Mert Kosan; Jiachen Li; Ambuj K. Singh; William Yang Wang; Lei Li 005 (KDD, 2024)

A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health. - Nikhil Behari; Edwin Zhang; Yunfan Zhao; Aparna Taneja; Dheeraj Nagaraj; Milind Tambe (NeurIPS, 2024)

Transcendence: Generative Models Can Outperform The Experts That Train Them. - Edwin Zhang; Vincent Zhu; Naomi Saphra; Anat Kleiman; Benjamin L. Edelman; Milind Tambe; Sham M. Kakade; Eran Malach (NeurIPS, 2024)

Social Environment Design. - Edwin Zhang; Sadie Zhao; Tonghan Wang 001; Safwan Hossain; Henry Gasztowtt; Stephan Zheng; David C. Parkes; Milind Tambe; Yiling Chen 001 (CoRR, 2024)

Large Legislative Models: Towards Efficient AI Policymaking in Economic Simulations. - Henry Gasztowtt; Benjamin Smith; Vincent Zhu; Qinxun Bai; Edwin Zhang (CoRR, 2024)

Proof Flow: Preliminary Study on Generative Flow Network Language Model Tuning for Formal Reasoning. - Matthew Ho; Vincent Zhu; Xiaoyin Chen; Moksh Jain; Nikolay Malkin; Edwin Zhang (CoRR, 2024)

Creating a Cooperative AI Policymaking Platform through Open Source Collaboration. - Aiden Lewington; Alekhya Vittalam; Anshumaan Singh; Anuja Uppuluri; Arjun Ashok; Ashrith Mandayam Athmaram; Austin Milt; Benjamin Smith; Charlie Weinberger; Chatanya Sarin; Christoph Bergmeir; Cliff Chang; et al. (CoRR, 2024)

Enhancing Channel-Independent Time Series Forecasting via Cross-Variate Patch Embedding. - Donghwa Shin; Edwin Zhang (CoRR, 2025)