Explorations in Very Early Prognosis of the Human Immune Response to Influenza. - Mmanu Chaturvedi; Tomojit Ghosh; Michael Kirby; Xiaoyu Liu 003; Xiaofeng Ma; Shannon Stiverson (BCB, 2016)

An Empirical Study of Conv-Tasnet. - Berkan Kadioglu; Michael Horgan; Xiaoyu Liu 003; Jordi Pons; Dan Darcy; Vivek Kumar 009 (ICASSP, 2020)

On Permutation Invariant Training For Speech Source Separation. - Xiaoyu Liu 003; Jordi Pons (ICASSP, 2021)

Tuformer: Data-driven Design of Transformers for Improved Generalization or Efficiency. - Xiaoyu Liu 003; Jiahao Su; Furong Huang (ICLR, 2022)

Compact Neural Architecture Designs by Tensor Representations. - Jiahao Su; Jingling Li; Xiaoyu Liu 003; Teresa M. Ranadive; Christopher J. Coley; Tai-Ching Tuan; Furong Huang (Frontiers Artif. Intell., 2022)

Quantitative Evidence on Overlooked Aspects of Enrollment Speaker Embeddings for Target Speaker Separation. - Xiaoyu Liu 003; Xu Li; Joan Serrà (ICASSP, 2023)

CAT: Causal Audio Transformer for Audio Classification. - Xiaoyu Liu 003; Hanlin Lu; Jianbo Yuan; Xinyu Li (ICASSP, 2023)

C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder. - Xiaoyu Liu 003; Jiaxin Yuan; Bang An 001; Yuancheng Xu; Yifan Yang 006; Furong Huang (NeurIPS, 2023)

CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models. - Hao-Wen Dong; Xiaoyu Liu 003; Jordi Pons; Gautam Bhattacharya; Santiago Pascual; Joan Serrà; Taylor Berg-Kirkpatrick; Julian J. McAuley (WASPAA, 2023)

Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences. - Xiyao Wang; Yuhang Zhou; Xiaoyu Liu 003; Hongjin Lu; Yuancheng Xu; Feihong He; Jaehong Yoon; Taixi Lu; Fuxiao Liu; Gedas Bertasius; Mohit Bansal; Huaxiu Yao; et al. (ACL (1), 2024)

Explore Spurious Correlations at the Concept Level in Language Models for Text Classification. - Yuhang Zhou; Paiheng Xu; Xiaoyu Liu 003; Bang An 001; Wei Ai 002; Furong Huang (ACL (1), 2024)

Hallusionbench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models. - Tianrui Guan; Fuxiao Liu; Xiyang Wu; Ruiqi Xian; Zongxia Li; Xiaoyu Liu 003; Xijun Wang 002; Lichang Chen; Furong Huang; Yaser Yacoob; Dinesh Manocha; Tianyi Zhou 001 (CVPR, 2024)

AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models. - Xiyang Wu; Tianrui Guan; Dianqi Li; Shuaiyi Huang; Xiaoyu Liu 003; Xijun Wang 002; Ruiqi Xian; Abhinav Shrivastava; Furong Huang; Jordan L. Boyd-Graber; Tianyi Zhou 001; Dinesh Manocha (EMNLP (Findings), 2024)

Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation. - Yuhang Zhou; Jing Zhu 005; Paiheng Xu; Xiaoyu Liu 003; Xiyao Wang; Danai Koutra; Wei Ai 002; Furong Huang (EMNLP (Findings), 2024)

GASS: Generalizing Audio Source Separation with Large-Scale Data. - Jordi Pons; Xiaoyu Liu 003; Santiago Pascual; Joan Serrà (ICASSP, 2024)

DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization. - Guowei Xu 001; Ruijie Zheng; Yongyuan Liang; Xiyao Wang; Zhecheng Yuan; Tianying Ji; Yu Luo; Xiaoyu Liu 003; Jiaxin Yuan; Pu Hua; Shuzhen Li; Yanjie Ze; et al. (ICLR, 2024)

conv_einsum: A Framework for Representation and Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks. - Tahseen Rabbani; Jiahao Su; Xiaoyu Liu 003; David Chan; Geoffrey Sangston; Furong Huang (CoRR, 2024)

Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences. - Xiyao Wang; Yuhang Zhou; Xiaoyu Liu 003; Hongjin Lu; Yuancheng Xu; Feihong He; Jaehong Yoon; Taixi Lu; Gedas Bertasius; Mohit Bansal; Huaxiu Yao; Furong Huang (CoRR, 2024)

Unmasking and Quantifying Racial Bias of Large Language Models in Medical Report Generation. - Yifan Yang 006; Xiaoyu Liu 003; Qiao Jin 001; Furong Huang; Zhiyong Lu (CoRR, 2024)

Calibrated Dataset Condensation for Faster Hyperparameter Search. - Mucong Ding; Yuancheng Xu; Tahseen Rabbani; Xiaoyu Liu 003; Brian J. Gravelle; Teresa M. Ranadive; Tai-Ching Tuan; Furong Huang (CoRR, 2024)

Ensuring Safety and Trust: Analyzing the Risks of Large Language Models in Medicine. - Yifan Yang 006; Qiao Jin 001; Robert Leaman; Xiaoyu Liu 003; Guangzhi Xiong; Maame Sarfo-Gyamfi; Changlin Gong; Santiago Ferrière-Steinert; W. John Wilbur; Xiaojun Li; Jiaxin Yuan; Bang An 001; et al. (CoRR, 2024)

Joint Semantic Knowledge Distillation and Masked Acoustic Modeling for Full-band Speech Restoration With Improved Intelligibility. - Xiaoyu Liu 003; Xu Li; Joan Serrà; Santiago Pascual (ICASSP, 2025)

Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey. - Xiaoyu Liu 003; Paiheng Xu; Junda Wu; Jiaxin Yuan; Yifan Yang 006; Yuhang Zhou; Fuxiao Liu; Tianrui Guan; Haoliang Wang; Tong Yu 001; Julian J. McAuley; Wei Ai 002; et al. (NAACL (Findings), 2025)

CSRec: Rethinking Sequential Recommendation from A Causal Perspective. - Xiaoyu Liu 003; Jiaxin Yuan; Yuhang Zhou; Jingling Li; Furong Huang; Wei Ai 002 (SIGIR, 2025)

DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data. - Yuhang Zhou; Jing Zhu 005; Shengyi Qian 001; Zhuokai Zhao; Xiyao Wang; Xiaoyu Liu 003; Ming Li; Paiheng Xu; Wei Ai 002; Furong Huang (CoRR, 2025)

ViCrit: A Verifiable Reinforcement Learning Proxy Task for Visual Perception in VLMs. - Xiyao Wang; Zhengyuan Yang; Chao Feng; Yongyuan Liang; Yuhang Zhou; Xiaoyu Liu 003; Ziyi Zang; Ming Li; Chung-Ching Lin; Kevin Lin; Linjie Li; Furong Huang; et al. (CoRR, 2025)