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Liu, A., Gong, Z., Song, Y., Chen, Y., Liu, X., Lu, H., Zhang, K., Wei, C., & Wang, J. (2026). The Perceptual Bandwidth Bottleneck in Vision-Language Models: Active Visual Reasoning via Sequential Experimental Design. International Conference on Machine Learning (ICML).
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Sun, L., Jiang, J., Ding, Y., Li, F., Song, Y., Zhang, H., Ying, J., Ren, L., Zhan, K., Chen, W., Xie, Y., & Deng, C. (2026). Hardware Co-Design Scaling Laws via Roofline Modelling for On-Device LLMs. arXiv preprint arXiv:2602.10377.
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Huang, S., Yang, L., Song, Y., Chen, S., Cui, L., Wan, Z., Zeng, Q., Wen, Y., Shao, K., Zhang, W., Wang, J., & Zhang, Y. (2025). ThinkBench: Dynamic Out-of-Distribution Evaluation for Robust LLM Reasoning. Advances in Neural Information Processing Systems (NeurIPS) Datasets & Benchmarks Track.
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Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA
Talk at London School of Testing, London, UK
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk at UC San Francisco, Department of Testing, San Francisco, California