Variational Inference for Training Graph Neural Networks in Low-Data Regime through Joint Structure-Label Estimation. - Danning Lao; Xinyu Yang 002; Qitian Wu; Junchi Yan (KDD, 2022)

FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer. - Zhijian Liu; Xinyu Yang 002; Haotian Tang; Shang Yang; Song Han 003 (CVPR, 2023)

Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations. - Weixin Liang; Yining Mao; Yongchan Kwon; Xinyu Yang 002; James Zou 001 (ICML, 2023)

BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation. - Zhijian Liu; Haotian Tang; Alexander Amini; Xinyu Yang 002; Huizi Mao; Daniela L. Rus; Song Han 003 (ICRA, 2023)

Reconnecting the Broken Civilization: Patchwork Integration of Fragments from Ancient Manuscripts. - Yuqing Zhang; Zhou Fang; Xinyu Yang 002; Shengyu Zhang 001; Baoyi He; Huaiyong Dou; Junchi Yan; Yongquan Zhang; Fei Wu 001 (ACM Multimedia, 2023)

Leveraging Domain Relations for Domain Generalization. - Huaxiu Yao; Xinyu Yang 002; Xinyi Pan; Shengchao Liu; Pang Wei Koh; Chelsea Finn (CoRR, 2023)

Can large language models provide useful feedback on research papers? A large-scale empirical analysis. - Weixin Liang; Yuhui Zhang; Hancheng Cao; Binglu Wang; Daisy Ding; Xinyu Yang 002; Kailas Vodrahalli; Siyu He; Daniel Scott Smith; Yian Yin; Daniel A. McFarland; James Zou 001 (CoRR, 2023)

Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges. - Chenhang Cui; Yiyang Zhou; Xinyu Yang 002; Shirley Wu; Linjun Zhang; James Zou 001; Huaxiu Yao (CoRR, 2023)

Multi-Domain Long-Tailed Learning by Augmenting Disentangled Representations. - Xinyu Yang 002; Huaxiu Yao; Allan Zhou; Chelsea Finn (Trans. Mach. Learn. Res., 2023)

Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on HuggingFace. - Xinyu Yang 002; Weixin Liang; James Zou 001 (ICLR, 2024)

Improving Domain Generalization with Domain Relations. - Huaxiu Yao; Xinyu Yang 002; Xinyi Pan; Shengchao Liu; Pang Wei Koh; Chelsea Finn (ICLR, 2024)

Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference. - Harry Dong; Xinyu Yang 002; Zhenyu Zhang 015; Zhangyang Wang; Yuejie Chi; Beidi Chen (ICML, 2024)

Scientific Software Citation Intent Classification Using Large Language Models. - Ana-Maria Istrate; Joshua Fisher; Xinyu Yang 002; Kara Moraw; Kai Li 010; Donghui Li; Martin Klein 001 (NSLP, 2024)

Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on Hugging Face. - Xinyu Yang 002; Weixin Liang; James Zou 001 (CoRR, 2024)

What's documented in AI? Systematic Analysis of 32K AI Model Cards. - Weixin Liang; Nazneen Rajani; Xinyu Yang 002; Ezinwanne Ozoani; Eric Wu; Yiqun Chen 001; Daniel Scott Smith; James Zou 001 (CoRR, 2024)

TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding. - Hanshi Sun; Zhuoming Chen; Xinyu Yang 002; Yuandong Tian; Beidi Chen (CoRR, 2024)

Zeroth-Order Fine-Tuning of LLMs with Extreme Sparsity. - Wentao Guo; Jikai Long; Yimeng Zeng; Zirui Liu 001; Xinyu Yang 002; Yide Ran; Jacob R. Gardner; Osbert Bastani; Christopher De Sa; Xiaodong Yu; Beidi Chen; Zhaozhuo Xu (CoRR, 2024)

It Takes Two: On the Seamlessness between Reward and Policy Model in RLHF. - Taiming Lu; Lingfeng Shen; Xinyu Yang 002; Weiting Tan; Beidi Chen; Huaxiu Yao (CoRR, 2024)

VcLLM: Video Codecs are Secretly Tensor Codecs. - Ceyu Xu; Yongji Wu; Xinyu Yang 002; Beidi Chen; Matthew Lentz; Danyang Zhuo; Lisa Wu Wills (CoRR, 2024)

FlatFusion: Delving into Details of Sparse Transformer-based Camera-LiDAR Fusion for Autonomous Driving. - Yutao Zhu 008; Xiaosong Jia; Xinyu Yang 002; Junchi Yan (CoRR, 2024)

Systematic analysis of 32,111 AI model cards characterizes documentation practice in AI. - Weixin Liang; Nazneen Rajani; Xinyu Yang 002; Ezinwanne Ozoani; Eric Wu; Yiqun Chen 001; Daniel Scott Smith; James Zou 001 (Nat. Mac. Intell., 2024)

Navigating the Fog: How University Students Recalibrate Sensemaking Practices to Address Plausible Falsehoods in LLM Outputs. - Chao Zhang 082; Shengqi Zhu 002; Xinyu Yang 002; Yu-Chia Tseng; Shenrong Jiang; Jeffrey M. Rzeszotarski (CUI, 2025)

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding. - Xinyu Yang 002; Tianqi Chen; Beidi Chen (ICLR, 2025)

Zeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity. - Wentao Guo; Jikai Long; Yimeng Zeng; Zirui Liu 001; Xinyu Yang 002; Yide Ran; Jacob R. Gardner; Osbert Bastani; Christopher De Sa; Xiaodong Yu; Beidi Chen; Zhaozhuo Xu (ICLR, 2025)