Chen Liu - RankMe

23 papers A* 1Misc 4Journal 14Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dispersion Loss Counteracts Embedding Condensation and Improves Generalization in Small Language Models. CoRR Chen Liu, Xingzhi Sun, Xi Xiao, Alexandre Van Tassel, Ke Xu, Kristof Reimann, Danqi Liao, Mark Gerstein, Tianyang Wang, Xiao Wang, Smita Krishnaswamy
2026	J	`jnl`	Not All Directions Matter: Toward Structured and Task-Aware Low-Rank Adaptation. CoRR Xi Xiao, Chenrui Ma, Yunbei Zhang, Chen Liu, Zhuxuanzi Wang, Yanshu Li, Lin Zhao, Guosheng Hu, Tianyang Wang, Hao Xu
2025	J	`jnl`	CTR-LoRA: Curvature-Aware and Trust-Region Guided Low-Rank Adaptation for Large Language Models. CoRR Zhuxuanzi Wang, Mingqiao Mo, Xi Xiao, Chen Liu, Chenrui Ma, Yunbei Zhang, Xiao Wang, Smita Krishnaswamy, Tianyang Wang
2025	A*	`conf`	CourtReasoner: Can LLM Agents Reason Like Judges? EMNLP Sophia Simeng Han, Yoshiki Takashima, Shannon Zejiang Shen, Chen Liu, Yixin Liu, Roque K. Thuo, Sonia Knowlton, Ruzica Piskac, Scott J. Shapiro, Arman Cohan
2025	J	`jnl`	Creativity or Brute Force? Using Brainteasers as a Window into the Problem-Solving Abilities of Large Language Models. CoRR Simeng Han, Stephen Xia, Grant Zhang, Howard Dai, Chen Liu, Lichang Chen, Hoang Huy Nguyen, Hongyuan Mei, Jiayuan Mao, R. Thomas McCoy
2025	Misc	`conf`	DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy Images. ICASSP Chen Liu, Danqi Liao, Alejandro Parada-Mayorga, Alejandro Ribeiro, Marcello DiStasio, Smita Krishnaswamy
2025	Misc	`conf`	Hyperedge Representations with Hypergraph Wavelets: Applications to Spatial Transcriptomics. ICASSP Xingzhi Sun, Charles Xu, João F. Rocha, Chen Liu, Benjamin Hollander-Bodie, Laney Goldman, Marcello DiStasio, Michael Perlmutter, Smita Krishnaswamy
2025	Misc	`conf`	ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images. ICASSP Chen Liu, Ke Xu, Liangbo L. Shen, Guillaume Huguet, Zilong Wang, Alexander Tong, Danilo Bzdok, Jay Stewart, Jay C. Wang, Luciano V. Del Priore, Smita Krishnaswamy
2025	J	`jnl`	RNAGenScape: Property-guided Optimization and Interpolation of mRNA Sequences with Manifold Langevin Dynamics. CoRR Danqi Liao, Chen Liu, Xingzhi Sun, Dié Tang, Haochen Wang, Scott E. Youlten, Srikar Krishna Gopinath, Haejeong Lee, Ethan C. Strayer, Antonio J. Giraldez, Smita Krishnaswamy
2025	J	`jnl`	Self-Supervised Visual Prompting for Cross-Domain Road Damage Detection. CoRR Xi Xiao, Zhuxuanzi Wang, Mingqiao Mo, Chen Liu, Chenrui Ma, Yanshu Li, Smita Krishnaswamy, Xiao Wang, Tianyang Wang
2024	Misc	`conf`	Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy. CISS Danqi Liao, Chen Liu, Benjamin W. Christensen, Alexander Tong, Guillaume Huguet, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy
2024	—	`conf`	CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation. MICCAI (8) Chen Liu, Matthew Amodio, Liangbo L. Shen, Feng Gao, Arman Avesta, Sanjay Aneja, Jay C. Wang, Luciano V. Del Priore, Smita Krishnaswamy
2024	J	`jnl`	DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy Images. CoRR Chen Liu, Danqi Liao, Alejandro Parada-Mayorga, Alejandro Ribeiro, Marcello DiStasio, Smita Krishnaswamy
2024	J	`jnl`	Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds. CoRR Xingzhi Sun, Danqi Liao, Kincaid MacDonald, Yanlei Zhang, Chen Liu, Guillaume Huguet, Guy Wolf, Ian Adelstein, Tim G. J. Rudner, Smita Krishnaswamy
2024	J	`jnl`	Hyperedge Representations with Hypergraph Wavelets: Applications to Spatial Transcriptomics. CoRR Xingzhi Sun, Charles Xu, João F. Rocha, Chen Liu, Benjamin Hollander-Bodie, Laney Goldman, Marcello DiStasio, Michael Perlmutter, Smita Krishnaswamy
2024	J	`jnl`	ImageFlowNet: Forecasting Multiscale Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images. CoRR Chen Liu, Ke Xu, Liangbo L. Shen, Guillaume Huguet, Zilong Wang, Alexander Tong, Danilo Bzdok, Jay Stewart, Jay C. Wang, Luciano V. Del Priore, Smita Krishnaswamy
2023	J	`jnl`	Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy. CoRR Danqi Liao, Chen Liu, Benjamin W. Christensen, Alexander Tong, Guillaume Huguet, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy
2022	—	`conf`	Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape Features. EMBC Nanyan Zhu, Chen Liu, Britney Forsyth, Zakary S. Singer, Andrew F. Laine, Tal Danino, Jia Guo
2021	—	`conf`	Deep Learning Identifies Neuroimaging Signatures Of Alzheimer's Disease Using Structural And Synthesized Functional Mri Data. ISBI Nanyan Zhu, Chen Liu, Xinyang Feng, Dipika Sikka, Sabrina J. Gjerswold-Selleck, Scott A. Small, Jia Guo
2021	J	`jnl`	Deep Learning Identifies Neuroimaging Signatures of Alzheimer's Disease Using Structural and Synthesized Functional MRI Data. CoRR Nanyan Zhu, Chen Liu, Xinyang Feng, Dipika Sikka, Sabrina J. Gjerswold-Selleck, Scott A. Small, Jia Guo
2020	J	`jnl`	Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape Features. CoRR Nanyan Zhu, Chen Liu, Zakary S. Singer, Tal Danino, Andrew F. Laine, Jia Guo
2020	—	`conf`	Substituting Gadolinium in Brain MRI Using DeepContrast. ISBI Haoran Sun, Xueqing Liu, Xinyang Feng, Chen Liu, Nanyan Zhu, Sabrina J. Gjerswold-Selleck, Hong-Jian Wei, Pavan S. Upadhyayula, Angeliki Mela, Cheng-Chia Wu, Peter D. Canoll, Andrew F. Laine, J. Thomas Vaughan, Scott A. Small, Jia Guo
2020	J	`jnl`	Substituting Gadolinium in Brain MRI Using DeepContrast. CoRR Haoran Sun, Xueqing Liu, Xinyang Feng, Chen Liu, Nanyan Zhu, Sabrina J. Gjerswold-Selleck, Hong-Jian Wei, Pavan S. Upadhyayula, Angeliki Mela, Cheng-Chia Wu, Peter D. Canoll, Andrew F. Laine, J. Thomas Vaughan, Scott A. Small, Jia Guo