📝 Publications

† indicates equal contribution.

First-author

	TCOD: Exploring Temporal Curriculum in On-Policy Distillation for Multi-turn Autonomous Agents Jiaqi Wang, Wenhao Zhang, Weijie Shi, Yaliang Li, James Cheng. arXiv 2026 [paper] [code] [huggingface paper]
	VideoASMR-Bench: Can AI-Generated ASMR Videos Fool VLMs and Humans? Jiaqi Wang†, Weijia Wu†, Yi Zhan, Rui Zhao, Ming Hu, James Cheng, Wei Liu, Philip Torr, Kevin Qinghong Lin. CVPR 2026 Workshop VGBE [paper] [homepage] [code] [dataset] [huggingface paper]
	Think or Not? Selective Reasoning via Reinforcement Learning for Vision-Language Models Jiaqi Wang†, Kevin QH. Lin†, James Cheng, Mike Z. Shou. NeurIPS 2025, ICML 2025 EXAIT Workshop [paper] [code] [huggingface]
	A Signed Graph Approach to Understanding and Mitigating Oversmoothing in GNNs Jiaqi Wang†, Xinyi Wu†, James Cheng, Yifei Wang. NeurIPS 2025 [paper]
	DivIL: Unveiling and Addressing Over-Invariance for Out-of-Distribution Generalization Jiaqi Wang†, Yuhang Zhou†, Zhixiong Zhang†, Qiguang Chen, Yongqiang Chen, James Cheng. TMLR 2025 [paper] [code]

	PROST-LLM: PROGRESSIVELY ENHANCING THE SPEECH-TO-SPEECH TRANSLATION CAPABILITY IN LLMS Jing Xu, Jiaqi Wang, Daxin Tan, Xiao Chen. ICASSP 2026 [paper]
	Visual Thoughts: A Unified Perspective of Understanding Multimodal Chain-of-Thought Zihui Cheng, Qiguang Chen, Xiao Xu, Jiaqi Wang, Weiyun Wang, Hao Fei, Yidong Wang, Alex Jinpeng Wang, Zhi Chen, Wanxiang Che, Libo Qin. NeurIPS 2025 [paper]
	Enhancing Multilingual Speech Generation and Recognition Abilities in LLMs with Constructed Code-switched Data Jing Xu, Daxin Tan, Jiaqi Wang, Xiao Chen. IEEE ASRU 2025 [paper]
	PIGDreamer: Privileged Information Guided World Models for Safe Partially Observable Reinforcement Learning Dongchi Huang, Jiaqi Wang, Yang Li, Chunhe Xia, Tianle Zhang, Kaige Zhang. ICML 2025 [paper] [code]
	Unlocking the capabilities of thought: A reasoning boundary framework to quantify and optimize chain-of-thought Qiguang Chen, Libo Qin, Jiaqi Wang, Jingxuan Zhou, Wanxiang Che. NeurIPS 2024, Oral [paper] [code]
	Enhancing evolving domain generalization through dynamic latent representations Binghui Xie, Yongqiang Chen, Jiaqi Wang, Kaiwen Zhou, Bo Han, Wei Meng, James Cheng. AAAI 2024, Oral [paper]