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Jincheng Wang

6 accepted papers

2026

AcoustoReinforce: Multi-Particle Acoustophoretic Path Planning with Deep Reinforcement Learning

Pengyuan Wei, Giorgos Christopoulos, Zhouyang Shen, Jincheng Wang, Joshua Mukherjee, Ryuji Hirayama +2
AAAI 2026technical

Acoustophoresis uses sound waves to manipulate small objects in mid-air and has broad potential in various applications. However, stable multi-particle levitation remains challenging due to complex acoustic dynamics and limitations of existing models. We introduce AcoustoReinforce, a reinforcement l

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2026

FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates

Zishuo Lan, Junjie Li, Lei Wang, Jincheng Wang
ICML 2026poster

Autoregressive learning of time-stepping operators offers an effective approach to data-driven PDE simulation on grids. For conservation laws, however, long-horizon rollouts are often destabilized when learned updates violate global conservation and, in many applications, additional state bounds—suc…

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2026

QHyer: Q-conditioned Hybrid Attention-mamba Transformer for Offline Goal-conditioned RL

Xing Lei, Jincheng Wang, Xuetao Zhang, Donglin Wang
ICML 2026poster

Offline goal-conditioned RL (GCRL) learns goal-reaching policies from static datasets, but real-world datasets are often partially observable and history-dependent, exhibiting a mix of Markovian and non-Markovian that violate standard RL assumptions. History-aware sequence models such as Decision Tr…

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2026

SanD-Planner: Sample-Efficient Diffusion Planner in B-Spline Space for Robust Local Navigation

Jincheng Wang, Lingfan Bao, Tong Yang, Diego Martinez Plasencia, Jianhao Jiao, Dimitrios Kanoulas
RSS 2026poster

The challenge of generating reliable local plans has long hindered practical applications in highly cluttered and dynamic environments. Key fundamental bottlenecks include acquiring large-scale expert demonstrations across diverse scenes and improving learning efficiency with limited data. This pape…

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2025

Long-Short Decision Transformer: Bridging Global and Local Dependencies for Generalized Decision-Making

Jincheng Wang, Penny Karanasou, Pengyuan Wei, Elia Gatti, Diego Martinez Plasencia, Dimitrios Kanoulas
ICLR 2025poster

Decision Transformers (DTs) effectively capture long-range dependencies using self-attention but struggle with fine-grained local relationships, especially the Markovian properties in many offline-RL datasets. Conversely, Decision Convformer (DC) utilizes convolutional filters for capturing local pa…

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2025

The Missing Parts: Augmenting Fact Verification with Half Truth Detection

Yixuan Tang, Jincheng Wang, Anthony Kum Hoe Tung
EMNLP 2025

Fact verification systems typically assess whether a claim is supported by retrieved evidence, assuming that truthfulness depends solely on what is stated. However, many real-world claims are half-truths, factually correct yet misleading due to the omission of critical context. Existing models strug

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