University of Southern California at AAAI 2020

USC will once again have a substantial presence at the Advancement of Artificial Intelligence (AAAI) 2020 Conference on Artificial Intelligence, with 14 publications touching on a variety of aspects including object removal for autonomous driving, idle time optimization and human-machine collaboration.

The AAAI annual meeting is one of the world’s leading conferences in the field of artificial intelligence. The event aims to promote research in artificial intelligence and scientific exchange among researchers, practitioners, scientists, and engineers in affiliated disciplines. The thirty-fourth annual conference will take place Feb. 7 to 12, 2020, in New York, USA.

Computer Science Associate Professor Fei Sha is one of the conference’s program chairs. This year’s event reported a record-high number of over 8,800 submissions — a thousand more than last year, with 7,737 submissions were reviewed and 1,591 accepted.

MIPaaL: Mixed Integer Program as a Layer
Aaron Ferber (USC); Bryan Wilder (Harvard University); Bistra Dilkina (USC); Milind Tambe (Harvard University)

Modeling Dialogues with Hashcode Representations: A Nonparametric Approach
Sahil Garg (USC); Irina Rish (University of Montreal); Guillermo Cecchi (IBM); Palash Goyal (USC Information Sciences Institute); Shuyang Gao (USC Information Sciences Institute); Sarik  Ghazarian (USC Information Sciences Institute); Greg Ver Steeg (USC Information Sciences Institute); Aram Galstyan (USC Information Sciences Institute)

Invariant Representations through Adversarial Forgetting
Ayush Jaiswal (USC Information Sciences Institute); Daniel Moyer (USC Information Sciences Institute); Greg Ver Steeg (USC Information Sciences Institute); Wael Abd-Almageed (USC Information Sciences Institute); Prem Natarajan (USC Information Sciences Institute)

Communication, Distortion, and Randomness in Metric Voting
David Kempe (USC)

An Analysis Framework for Metric Voting based on LP Duality
David Kempe (USC)

Idle Time Optimization for Target Assignment and Path Finding in Sortation Centers
Ngai Meng Kou (Alibaba); Cheng Peng (Alibaba); Hang Ma (Simon Fraser University); T. K. Satish Kumar (USC); Sven Koenig (USC)

Predictive Engagement: An Efficient Metric for Automatic Evaluation of Open-Domain Dialogue Systems
Sarik Ghazarian (USC Information Sciences Institute); Weischedel Ralph (USC Information Sciences Institute); Aram Galstyan (USC Information Sciences Institute); Nanyun Peng (USC Information Sciences Institute)

Generative Attention Networks for Multi-Agent Behavioral Modeling
Guangyu Li (USC); Bo Jiang (DiDi AI Labs, Didi Chuxing); Hao Zhu (Peking University); Zhengping Che (DiDi AI Labs, Didi Chuxing); Yan Liu (USC)

End-to-End Game-Focused Learning of Adversary Behavior in Security Games
Andrew Perrault (Harvard University); Bryan Wilder (Harvard University); Eric Ewing (USC); Aditya Mate (Harvard University); Bistra Dilkina (USC); Milind Tambe (Harvard University)

AutoRemover: Automatic Object Removal for Autonomous Driving Videos
Rong Zhang (Zhejiang University); Wei Li (Baidu); Peng Wang (Baidu USA LLC.); Chenye Guan (Baidu); Jin Fang (Baidu); Yuhang Song (USC); Jinhui Yu (Zhejiang University); Baoquan Chen (Peking University); Weiwei Xu (Zhejiang University); Yang Ruigang (Baidu)

MetaLight: Value-based Meta-reinforcement Learning for Traffic Signal Control
Xinshi Zang (Shanghai Jiao Tong University); Huaxiu Yao (Pennsylvania State University); Guanjie Zheng (Pennsylvania State University); Nan  Xu (USC); Kai Xu (Shanghai Tianrang Intelligent Technology Co., Ltd); Zhenhui (Jessie) Li (Penn State University)

Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control
Chacha Chen (Pennsylvania State University); Hua Wei (Pennsylvania State University); Nan Xu (USC); Guanjie Zheng (Pennsylvania State University); Ming Yang (Shanghai Tianrang Intelligent Technology Co., Ltd); Yuanhao Xiong (Zhejiang University); Kai Xu (Shanghai Tianrang Intelligent Technology Co., Ltd); Zhenhui (Jessie) Li (Penn State University)

To Signal or Not To Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability
Elizabeth Bondi (Harvard University); Hoon Oh (Carnegie Mellon University); Haifeng Xu (University of Virginia); Fei Fang (Carnegie Mellon University); Bistra Dilkina (USC); Milind Tambe (Harvard University)

Human-Machine Collaboration for Fast Land Cover Mapping
Caleb Robinson (Georgia Institute of Technology); Anthony Ortiz (University of Texas at El Paso); Nikolay Malkin (Yale University); Blake Elias (Microsoft); Andi Peng (Microsoft); Dan Morris (Microsoft); Bistra Dilkina (USC); Nebojsa Jojic (Microsoft Research)

Recent Directions in Heuristic Research (tutorial)
Ariel Felner (Ben-Gurion University), Sven Koenig (USC), Nathan Sturtevant (University of Alberta) and Daniel Harabor (Monash University)

 

Published on December 13th, 2019

Last updated on December 13th, 2019