FireCommander: An Interactive, Probabilistic Multi-agent Environment for Joint Perception-Action Tasks. - Esmaeil Seraj; Xiyang Wu; Matthew C. Gombolay (CoRR, 2020)

Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning. - Xiyang Wu; Rohan Chandra; Tianrui Guan; Amrit S. Bedi; Dinesh Manocha (CoRL, 2023)

iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning. - Xiyang Wu; Rohan Chandra; Tianrui Guan; Amrit Singh Bedi; Dinesh Manocha (CoRR, 2023)

LANCAR: Leveraging Language for Context-Aware Robot Locomotion in Unstructured Environments. - Chak Lam Shek; Xiyang Wu; Dinesh Manocha; Pratap Tokekar; Amrit Singh Bedi (CoRR, 2023)

A novel image registration-based dynamic photometric stereo method for online defect detection in aluminum alloy castings. - Haoyue Liu; Xiyang Wu; Ning Yan; Shuaipeng Yuan; Xiaodong Zhang (Digit. Signal Process., 2023)

Hallusionbench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models. - Tianrui Guan; Fuxiao Liu; Xiyang Wu; Ruiqi Xian; Zongxia Li; Xiaoyu Liu 003; Xijun Wang 002; Lichang Chen; Furong Huang; Yaser Yacoob; Dinesh Manocha; Tianyi Zhou 001 (CVPR, 2024)

AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models. - Xiyang Wu; Tianrui Guan; Dianqi Li; Shuaiyi Huang; Xiaoyu Liu 003; Xijun Wang 002; Ruiqi Xian; Abhinav Shrivastava; Furong Huang; Jordan L. Boyd-Graber; Tianyi Zhou 001; Dinesh Manocha (EMNLP (Findings), 2024)

AGL-Net: Aerial-Ground Cross-Modal Global Localization with Varying Scales. - Tianrui Guan; Ruiqi Xian; Xijun Wang 002; Xiyang Wu; Mohamed Elnoor; Daeun Song; Dinesh Manocha (IROS, 2024)

LANCAR: Leveraging Language for Context-Aware Robot Locomotion in Unstructured Environments. - Chak Lam Shek; Xiyang Wu; Wesley A. Suttle; Carl E. Busart; Erin G. Zaroukian; Dinesh Manocha; Pratap Tokekar; Amrit Singh Bedi (IROS, 2024)

On the Safety Concerns of Deploying LLMs/VLMs in Robotics: Highlighting the Risks and Vulnerabilities. - Xiyang Wu; Ruiqi Xian; Tianrui Guan; Jing Liang 006; Souradip Chakraborty; Fuxiao Liu; Brian M. Sadler; Dinesh Manocha; Amrit Singh Bedi (CoRR, 2024)

SOAR: Self-supervision Optimized UAV Action Recognition with Efficient Object-Aware Pretraining. - Ruiqi Xian; Xiyang Wu; Tianrui Guan; Xijun Wang 002; Boqing Gong; Dinesh Manocha (CoRR, 2024)

A Survey of State of the Art Large Vision Language Models: Benchmark Evaluations and Challenges. - Zongxia Li; Xiyang Wu; Hongyang Du; Fuxiao Liu; Huy Nghiem; Guangyao Shi (CVPR Workshops, 2025)

Benchmark Evaluations, Applications, and Challenges of Large Vision Language Models: A Survey. - Zongxia Li; Xiyang Wu; Hongyang Du; Huy Nghiem; Guangyao Shi (CoRR, 2025)

VideoHallu: Evaluating and Mitigating Multi-modal Hallucinations on Synthetic Video Understanding. - Zongxia Li; Xiyang Wu; Guangyao Shi; Yubin Qin; Hongyang Du; Tianyi Zhou 001; Dinesh Manocha; Jordan Lee Boyd-Graber (CoRR, 2025)

Semantically-Aware Rewards for Open-Ended R1 Training in Free-Form Generation. - Zongxia Li; Yapei Chang; Yuhang Zhou; Xiyang Wu; Zichao Liang; Yoo Yeon Sung; Jordan Lee Boyd-Graber (CoRR, 2025)

CaughtCheating: Is Your MLLM a Good Cheating Detective? Exploring the Boundary of Visual Perception and Reasoning. - Ming Li; Chenguang Wang; Yijun Liang; Xiyao Wang; Yuhang Zhou; Xiyang Wu; Yuqing Zhang; Ruiyi Zhang 002; Tianyi Zhou 001 (CoRR, 2025)