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Jiajia Zhang

7 accepted papers

2026

PT-DCFR: Accelerating and Improving Deep CFR Using Population Based Training (Student Abstract)

AAAI 2026technical

Deep CFR enables end-to-end approximation of Nash equilibria in imperfect-information games(IIGs) but is sensitive to hyperparameters, making manual tuning inefficient. To address this, we propose PT-DCFR, which integrates Population-Based Training(PBT) with Deep CFR to dynamically optimize hyperpar

Cited by 0SourcePDFScholar
2026

R2G: A Multi-View Circuit Graph Benchmark Suite from RTL to GDSII

CVPR 2026

Graph neural networks (GNNs) are increasingly applied to physical design tasks such as congestion prediction and wirelength estimation, yet progress is hindered by inconsistent circuit representations and the absence of controlled evaluation protocols. We present R2G (RTL-to-GDSII), a multi-view cir

Cited by 0SourcecodeScholar
2025

Enhanced Equilibria-Solving via Private Information Pre-Branch Structure in Adversarial Team Games

UAI 2025

In ex ante coordinated adversarial team games (ATGs), a team competes against an adversary, and team members can only coordinate their strategies before the game starts. The team-maxmin equilibrium with correlation (TMECor) is a suitable solution concept for extensive-form sequential ATGs. One class

Cited by 0SourcePDFScholar
2025

Expand VSR Benchmark for VLLM to Expertize in Spatial Rules

AAAI 2025technical

Distinguishing spatial relations is a basic part of human cognition which requires fine-grained perception on cross-instance. Although benchmarks like MME, MMBench and SEED comprehensively have evaluated various capabilities which already include visual spatial reasoning(VSR). There is still a la…

2025

Towards Building Human-like Smart Agents in Modern 3D Video Games (Student Abstract)

AAAI 2025technical

In recent years, reinforcement learning has been widely applied in the field of games. However, most studies focus on assisting agents to achieve victory, with less attention paid to whether the agents exhibit human-like characteristics. In order to build human-like agents with high performance, we…

Cited by 0SourcePDFScholar
2023

Design and Experimental Investigation of a Vibro-Impact Capsule Robot for Colonoscopy

RA-L 2023

Uptake of capsule endoscopy in the large intestine has been very limited due to both the risk of missed lesions and the often prolonged transit time, making it an unviable alternative to standard colonoscopy. In this letter, we presented a controllable and easy-to-use diagnostic tool, equipping a no

Cited by 26SourceScholar
2022

Design and experimental investigation of a vibro-impact self-propelled capsule robot with orientation control

ICRA 2022poster

This paper presents a novel design and experimental investigation for a self-propelled capsule robot that can be used for painless colonoscopy during a retrograde progression from the patient's rectum. The steerable robot is driven forward and backward via its internal vibration and impact with orie…

Cited by 17SourceScholar