A 2.4 GHz energy-efficient 18-Mbps FSK transmitter in 0.18 μm CMOS. - Jingjing Chen; Weiyang Liu; Peng Feng 001; Haiyong Wang; Nanjian Wu (CICC, 2013)

A Low Power 2.4 GHz RF Transceiver for ZigBee Applications. - Weiyang Liu; Jingjing Chen; Haiyong Wang; Nanjian Wu (J. Circuits Syst. Comput., 2013)

Work in progress: On the knapsack-based resource allocation for reconfigurable network architecture. - Kai Pan; Weiyang Liu; Hui Li 022 (ChinaCom, 2014)

On the optimal routing for Reconfigurable Network Architecture. - Kai Pan; Hui Li 022; Weiyang Liu; Zhipu Zhu; Bing Zhu 003 (ChinaCom, 2014)

A kernel-based l2 norm regularized least square algorithm for vehicle logo recognition. - Weiyang Liu; Yandong Wen; Kai Pan; Hui Li 022; Yuexian Zou (DSP, 2014)

A novel kernel collaborative representation approach for image classification. - Weiyang Liu; Lijia Lu; Hui Li 022; Wei Wang; Yuexian Zou (ICIP, 2014)

Dictionary construction for sparse representation classification: A novel cluster-based approach. - Weiyang Liu; Yandong Wen; Hui Li 022; Bing Zhu 003 (ISCC, 2014)

Semi-Centralized Name Routing Mechanism for Reconfigurable Network. - Fuxing Chen; Weiyang Liu; Hui Li 022; Zhipu Zhu (TRIDENTCOM, 2014)

Optimization-Based Atomic Capability Routing Model for Flexible Architecture of Reconfigurable Infrastructure. - Weiyang Liu; Hui Li 022; Fuxing Chen; Kai Pan (TRIDENTCOM, 2014)

Prologue: Unified Polymorphic Routing Towards Flexible Architecture of Reconfigurable Infrastructure. - Kai Pan; Hui Li 022; Weiyang Liu; Zhipu Zhu; Fuxing Chen; Bing Zhu 003 (TRIDENTCOM, 2014)

A 2.4 GHz low power CMOS transceiver for LR-WPAN applications. - Weiyang Liu; Jingjing Chen; Xiaodong Liu; Haiyong Wang; Nanjian Wu (Sci. China Inf. Sci., 2014)

The Wire-Speed Multicast Switch Fabric Based on Distributive Lattice. - Fuxing Chen; Weiyang Liu; Hui Li 022; Dongcheng Wu (IEICE Trans. Commun., 2014)

Joint regularized nearest points for image set based face recognition. - Meng Yang 001; Weiyang Liu; LinLin Shen (FG, 2015)

MDC-Ca: Efficient Caching Management Strategy for CCN Using Multiple Description Coding. - Fuxing Chen; Weiyang Liu; Hui Li 022; Wensheng Chen; Jun Lu; Dagang Li 001 (GLOBECOM, 2015)

LB-MSNC: A load-balanced multicast switching fabric with network coding. - Fuxing Chen; Hui Li 022; Weiyang Liu; Shuo-Yen Robert Li (ICC, 2015)

Towards minimizing the within-packet redundancy in wireless network coding. - Kai Pan; Hui Li 022; Weiyang Liu; Dagang Li 001; Shuo-Yen Robert Li (ICC Workshops, 2015)

Multi-kernel collaborative representation for image classification. - Weiyang Liu; Zhiding Yu; Yandong Wen; Meng Yang 001; Yuexian Zou (ICIP, 2015)

Joint kernel dictionary and classifier learning for sparse coding via locality preserving K-SVD. - Weiyang Liu; Zhiding Yu; Meng Yang 001; Lijia Lu; Yuexian Zou (ICME, 2015)

Generalized Transitive Distance with Minimum Spanning Random Forest. - Zhiding Yu; Weiyang Liu; Wenbo Liu 002; Xi Peng; Zhuo Hui; B. V. K. Vijaya Kumar (IJCAI, 2015)

Robust Elastic Net Regression. - Weiyang Liu; Zhiding Yu; Meng Yang 001 (CoRR, 2015)

Jointly Learning Non-negative Projection and Dictionary with Discriminative Graph Constraints for Classification. - Weiyang Liu; Zhiding Yu; Yingzhen Yang; Meng Yang 001 (CoRR, 2015)

Misalignment-robust Face Recognition via Efficient Locality-constrained Representation. - Yandong Wen; Weiyang Liu; Meng Yang 001; Yuli Fu 001; Zhifeng Li (CoRR, 2015)

Towards High-Performance Load-Balance Multicast Switch via Erasure Codes. - Fuxing Chen; Li Ma; Weiyang Liu; Dagang Li 001; Dongcheng Wu (IEICE Trans. Commun., 2015)

Bit-Express: A Loss Tolerant Network Transmission via Network Coding. - Kai Pan; Weiyang Liu; Dongcheng Wu; Hui Li 022 (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015)

KCRC-LCD: Discriminative kernel collaborative representation with locality constrained dictionary for visual categorization. - Weiyang Liu; Zhiding Yu; Lijia Lu; Yandong Wen; Hui Li 022; Yuexian Zou (Pattern Recognit., 2015)

Analysis-Synthesis Dictionary Learning for Universality-Particularity Representation Based Classification. - Meng Yang 001; Weiyang Liu; Weixin Luo; Linlin Shen (AAAI, 2016)

On Order-Constrained Transitive Distance Clustering. - Zhiding Yu; Weiyang Liu; Wenbo Liu 002; Yingzhen Yang; Ming Li 026; B. V. K. Vijaya Kumar (AAAI, 2016)

Jointly Learning Non-negative Projection and Dictionary with Discriminative Graph Constraints for Classification. - Weiyang Liu; Zhiding Yu; Yandong Wen; Rongmei Lin; Meng Yang 001 (BMVC, 2016)

Large-Margin Softmax Loss for Convolutional Neural Networks. - Weiyang Liu; Yandong Wen; Zhiding Yu; Meng Yang 001 (ICML, 2016)

Structured occlusion coding for robust face recognition. - Yandong Wen; Weiyang Liu; Meng Yang 001; Yuli Fu 001; Youjun Xiang; Rui Hu 008 (Neurocomputing, 2016)

SphereFace: Deep Hypersphere Embedding for Face Recognition. - Weiyang Liu; Yandong Wen; Zhiding Yu; Ming Li 026; Bhiksha Raj; Le Song (CVPR, 2017)

Iterative Machine Teaching. - Weiyang Liu; Bo Dai 001; Ahmad Humayun; Charlene Tay; Chen Yu 001; Linda B. Smith; James M. Rehg; Le Song (ICML, 2017)

Deep Hyperspherical Learning. - Weiyang Liu; Yan-Ming Zhang; Xingguo Li; Zhen Liu 019; Bo Dai 001; Tuo Zhao; Le Song (NIPS, 2017)

Iterative Machine Teaching. - Weiyang Liu; Bo Dai 001; James M. Rehg; Le Song (CoRR, 2017)

Towards Black-box Iterative Machine Teaching. - Weiyang Liu; Bo Dai 001; Xingguo Li; James M. Rehg; Le Song (CoRR, 2017)

Deep Hyperspherical Learning. - Weiyang Liu; Yan-Ming Zhang; Xingguo Li; Zhiding Yu; Bo Dai 001; Tuo Zhao; Le Song (CoRR, 2017)

Joint regularized nearest points for image set based face recognition. - Meng Yang 001; Xing Wang 012; Weiyang Liu; Linlin Shen (Image Vis. Comput., 2017)

Decoupled Networks. - Weiyang Liu; Zhen Liu 019; Zhiding Yu; Bo Dai 001; Rongmei Lin; Yisen Wang 001; James M. Rehg; Le Song (CVPR, 2018)

Iterative Learning With Open-Set Noisy Labels. - Yisen Wang 001; Weiyang Liu; Xingjun Ma; James Bailey 001; Hongyuan Zha; Le Song; Shu-Tao Xia (CVPR, 2018)

Simultaneous Edge Alignment and Learning. - Zhiding Yu; Weiyang Liu; Yang Zou 003; Chen Feng 002; Srikumar Ramalingam; B. V. K. Vijaya Kumar; Jan Kautz (ECCV (3), 2018)

Additive Margin Softmax for Face Verification. - Feng Wang 015; Weiyang Liu; Hanjun Dai; Haijun Liu 001; Jian Cheng 003 (ICLR (Workshop), 2018)

Towards Black-box Iterative Machine Teaching. - Weiyang Liu; Bo Dai 001; Xingguo Li; Zhen Liu 019; James M. Rehg; Le Song (ICML, 2018)

Coupled Variational Bayes via Optimization Embedding. - Bo Dai 001; Hanjun Dai; Niao He; Weiyang Liu; Zhen Liu 019; Jianshu Chen; Lin Xiao; Le Song (NeurIPS, 2018)

Learning towards Minimum Hyperspherical Energy. - Weiyang Liu; Rongmei Lin; Zhen Liu 019; Lixin Liu; Zhiding Yu; Bo Dai 001; Le Song (NeurIPS, 2018)

Bayesian Meta-network Architecture Learning. - Albert E. Shaw; Bo Dai 001; Weiyang Liu; Le Song (CoRR, 2018)

Additive Margin Softmax for Face Verification. - Feng Wang 015; Jian Cheng 003; Weiyang Liu; Haijun Liu 001 (IEEE Signal Process. Lett., 2018)

Disjoint Mapping Network for Cross-modal Matching of Voices and Faces. - Yandong Wen; Mahmoud Al Ismail; Weiyang Liu; Bhiksha Raj; Rita Singh (ICLR (Poster), 2019)

Neural Similarity Learning. - Weiyang Liu; Zhen Liu 019; James M. Rehg; Le Song (NeurIPS, 2019)

Meta Architecture Search. - Albert E. Shaw; Wei Wei 019; Weiyang Liu; Le Song; Bo Dai 001 (NeurIPS, 2019)

Compressive Hyperspherical Energy Minimization. - Rongmei Lin; Weiyang Liu; Zhen Liu 019; Chen Feng 002; Zhiding Yu; James M. Rehg; Li Xiong 001; Le Song (CoRR, 2019)

Regularizing Neural Networks via Minimizing Hyperspherical Energy. - Rongmei Lin; Weiyang Liu; Zhen Liu 019; Chen Feng 002; Zhiding Yu; James M. Rehg; Li Xiong 001; Le Song (CVPR, 2020)

Angular Visual Hardness. - Beidi Chen; Weiyang Liu; Zhiding Yu; Jan Kautz; Anshumali Shrivastava; Animesh Garg; Animashree Anandkumar (ICML, 2020)

L2 Disturbance Suppression Controller Design for Multiple Time Delays Offshore Wind Turbines. - Zhen Tang; Bing Wang 016; Xiang Gao; Weiyang Liu; Lingyan Wei (IEEE Access, 2020)

Orthogonal Over-Parameterized Training. - Weiyang Liu; Rongmei Lin; Zhen Liu 019; James M. Rehg; Li Xiong 001; Le Song (CoRR, 2020)

Field-Scale Characterization of Spatio-Temporal Variability of Soil Salinity in Three Dimensions. - Hongyi Li; Xinlu Liu; Bifeng Hu; Asim Biswas; Qingsong Jiang; Weiyang Liu; Nan Wang 017; Jie Peng 004 (Remote. Sens., 2020)

Deep representation learning on hypersphere. - Weiyang Liu (2020)

Learning with Hyperspherical Uniformity. - Weiyang Liu; Rongmei Lin; Zhen Liu 019; Li Xiong 001; Bernhard Schölkopf; Adrian Weller (AISTATS, 2021)

Orthogonal Over-Parameterized Training. - Weiyang Liu; Rongmei Lin; Zhen Liu 019; James M. Rehg; Liam Paull; Li Xiong 001; Le Song; Adrian Weller (CVPR, 2021)

Self-Supervised 3D Face Reconstruction via Conditional Estimation. - Yandong Wen; Weiyang Liu; Bhiksha Raj; Rita Singh (ICCV, 2021)

Iterative Teaching by Label Synthesis. - Weiyang Liu; Zhen Liu 019; Hanchen Wang 002; Liam Paull; Bernhard Schölkopf; Adrian Weller (NeurIPS, 2021)

Locality Sensitive Teaching. - Zhaozhuo Xu; Beidi Chen; Chaojian Li; Weiyang Liu; Le Song; Yingyan Lin; Anshumali Shrivastava (NeurIPS, 2021)

Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence. - Xiang Bai; Hanchen Wang 002; Liya Ma; Yongchao Xu; Jiefeng Gan; Ziwei Fan 005; Fan Yang 038; Ke Ma; Jiehua Yang; Song Bai 001; Chang Shu; Xinyu Zou; et al. (CoRR, 2021)

Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. - Xiang Bai; Hanchen Wang 002; Liya Ma; Yongchao Xu; Jiefeng Gan; Ziwei Fan 005; Fan Yang 038; Ke Ma; Jiehua Yang; Song Bai 001; Chang Shu; Xinyu Zou; et al. (Nat. Mach. Intell., 2021)

Soil Salinity Mapping Using Machine Learning Algorithms with the Sentinel-2 MSI in Arid Areas, China. - Jiaqiang Wang; Jie Peng; Hongyi Li; Caiyun Yin; Weiyang Liu; Tianwei Wang; Huaping Zhang (Remote. Sens., 2021)

Provable Lifelong Learning of Representations. - Xinyuan Cao; Weiyang Liu; Santosh S. Vempala (AISTATS, 2022)

Towards Principled Disentanglement for Domain Generalization. - Hanlin Zhang 002; Yifan Zhang 004; Weiyang Liu; Adrian Weller; Bernhard Schölkopf; Eric P. Xing (CVPR, 2022)

Structural Causal 3D Reconstruction. - Weiyang Liu; Zhen Liu 019; Liam Paull; Adrian Weller; Bernhard Schölkopf (ECCV (1), 2022)

Pre-training Molecular Graph Representation with 3D Geometry. - Shengchao Liu; Hanchen Wang 002; Weiyang Liu; Joan Lasenby; Hongyu Guo; Jian Tang 005 (ICLR, 2022)

SphereFace2: Binary Classification is All You Need for Deep Face Recognition. - Yandong Wen; Weiyang Liu; Adrian Weller; Bhiksha Raj; Rita Singh (ICLR, 2022)

Web-based Elicitation of Human Perception on mixup Data. - Katherine M. Collins; Umang Bhatt; Weiyang Liu; Vihari Piratla; Bradley C. Love; Adrian Weller (CoRR, 2022)

Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. - Xiang Bai; Hanchen Wang 002; Liya Ma; Yongchao Xu; Jiefeng Gan; Ziwei Fan 005; Fan Yang 038; Ke Ma; Jiehua Yang; Song Bai 001; Chang Shu; Xinyu Zou; et al. (Nat. Mach. Intell., 2022)

Mapping the Levels of Soil Salination and Alkalization by Integrating Machining Learning Methods and Soil-Forming Factors. - Yang Yan; Kader Kayem; Ye Hao; Zhou Shi; Chao Zhang; Jie Peng 004; Weiyang Liu; Qiang Zuo; Wenjun Ji; Baoguo Li (Remote. Sens., 2022)

Iterative Teaching by Data Hallucination. - Zeju Qiu; Weiyang Liu; Tim Z. Xiao; Zhen Liu 019; Umang Bhatt; Yucen Luo; Adrian Weller; Bernhard Schölkopf (AISTATS, 2023)

One-shot Implicit Animatable Avatars with Model-based Priors. - Yangyi Huang; Hongwei Yi; Weiyang Liu; Haofan Wang; Boxi Wu; Wenxiao Wang 001; Binbin Lin; Debing Zhang; Deng Cai 001 (ICCV, 2023)

Pairwise Similarity Learning is SimPLE. - Yandong Wen; Weiyang Liu; Yao Feng 001; Bhiksha Raj; Rita Singh; Adrian Weller; Michael J. Black; Bernhard Schölkopf (ICCV, 2023)

MeshDiffusion: Score-based Generative 3D Mesh Modeling. - Zhen Liu 019; Yao Feng 001; Michael J. Black; Derek Nowrouzezahrai; Liam Paull; Weiyang Liu (ICLR, 2023)

Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap. - Weiyang Liu; Longhui Yu; Adrian Weller; Bernhard Schölkopf (ICLR, 2023)

Nonparametric Iterative Machine Teaching. - Chen Zhang; Xiaofeng Cao 002; Weiyang Liu; Ivor W. Tsang; James T. Kwok (ICML, 2023)

Physics-Based Decoding Improves Magnetic Resonance Fingerprinting. - Juyeon Heo; Pingfan Song; Weiyang Liu; Adrian Weller (MICCAI (2), 2023)

Controlling Text-to-Image Diffusion by Orthogonal Finetuning. - Zeju Qiu; Weiyang Liu; Haiwen Feng; Yuxuan Xue; Yao Feng 001; Zhen Liu 019; Dan Zhang; Adrian Weller; Bernhard Schölkopf (NeurIPS, 2023)

Nonparametric Teaching for Multiple Learners. - Chen Zhang; Xiaofeng Cao 002; Weiyang Liu; Ivor W. Tsang; James T. Kwok (NeurIPS, 2023)

Human-in-the-Loop Mixup. - Katherine M. Collins; Umang Bhatt; Weiyang Liu; Vihari Piratla; Ilia Sucholutsky; Bradley C. Love; Adrian Weller (UAI, 2023)

Learning Disentangled Avatars with Hybrid 3D Representations. - Yao Feng 001; Weiyang Liu; Timo Bolkart; Jinlong Yang; Marc Pollefeys; Michael J. Black (CoRR, 2023)

SphereFace Revived: Unifying Hyperspherical Face Recognition. - Weiyang Liu; Yandong Wen; Bhiksha Raj; Rita Singh; Adrian Weller (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Continual Learning by Modeling Intra-Class Variation. - Longhui Yu; Tianyang Hu; Lanqing Hong; Zhen Liu 019; Adrian Weller; Weiyang Liu (Trans. Mach. Learn. Res., 2023)

Characterizing Soil Profile Salinization in Cotton Fields Using Landsat 8 Time-Series Data in Southern Xinjiang, China. - Jiaqiang Wang; Bifeng Hu; Weiyang Liu; Defang Luo; Jie Peng 004 (Sensors, 2023)

Data-Efficient Learning via Minimizing Hyperspherical Energy. - Xiaofeng Cao 002; Weiyang Liu; Ivor W. Tsang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs. - Gege Gao; Weiyang Liu; Anpei Chen; Andreas Geiger 001; Bernhard Schölkopf (CVPR, 2024)

In Defense of Structural Sparse Adapters for Concurrent LLM Serving. - Junda Su; Zirui Liu 001; Zeju Qiu; Weiyang Liu; Zhaozhuo Xu (EMNLP (Findings), 2024)

Ghost on the Shell: An Expressive Representation of General 3D Shapes. - Zhen Liu 019; Yao Feng 001; Yuliang Xiu; Weiyang Liu; Liam Paull; Michael J. Black; Bernhard Schölkopf (ICLR, 2024)

Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization. - Weiyang Liu; Zeju Qiu; Yao Feng 001; Yuliang Xiu; Yuxuan Xue; Longhui Yu; Haiwen Feng; Zhen Liu 019; Juyeon Heo; Songyou Peng; Yandong Wen; Michael J. Black; et al. (ICLR, 2024)

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models. - Longhui Yu; Weisen Jiang; Han Shi; Jincheng Yu; Zhengying Liu; Yu Zhang 006; James T. Kwok; Zhenguo Li; Adrian Weller; Weiyang Liu (ICLR, 2024)

Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision. - Zhiqing Sun; Longhui Yu; Yikang Shen; Weiyang Liu; Yiming Yang; Sean Welleck; Chuang Gan 001 (NeurIPS, 2024)

A Compact Representation for Bayesian Neural Networks By Removing Permutation Symmetry. - Tim Z. Xiao; Weiyang Liu; Robert Bamler (CoRR, 2024)

ChatHuman: Language-driven 3D Human Understanding with Retrieval-Augmented Tool Reasoning. - Jing Lin; Yao Feng 001; Weiyang Liu; Michael J. Black (CoRR, 2024)

Representational Alignment Supports Effective Machine Teaching. - Ilia Sucholutsky; Katherine M. Collins; Maya Malaviya; Nori Jacoby; Weiyang Liu; Theodore R. Sumers; Michalis Korakakis; Umang Bhatt; Mark K. Ho; Joshua B. Tenenbaum; Bradley C. Love; Zachary A. Pardos; et al. (CoRR, 2024)

Manifold-Constrained Nucleus-Level Denoising Diffusion Model for Structure-Based Drug Design. - Shengchao Liu; Divin Yan; Weitao Du; Weiyang Liu; Zhuoxinran Li; Hongyu Guo; Christian Borgs; Jennifer T. Chayes; Anima Anandkumar (CoRR, 2024)

SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator. - Guoxuan Chen; Han Shi; Jiawei Li; Yihang Gao; Xiaozhe Ren; Yimeng Chen; Xin Jiang; Zhenguo Li; Weiyang Liu; Chao Huang (CoRR, 2024)

Re-Thinking Inverse Graphics With Large Language Models. - Peter Kulits; Haiwen Feng; Weiyang Liu; Victoria Fernández Abrevaya; Michael J. Black (Trans. Mach. Learn. Res., 2024)

Iterative Graph Self-Distillation. - Hanlin Zhang 002; Shuai Lin; Weiyang Liu; Pan Zhou 002; Jian Tang 005; Xiaodan Liang; Eric P. Xing (IEEE Trans. Knowl. Data Eng., 2024)

Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector. - Andi Zhang 001; Tim Z. Xiao; Weiyang Liu; Robert Bamler; Damon Wischik (AISTATS, 2025)

ChatHuman: Chatting about 3D Humans with Tools. - Jing Lin; Yao Feng 001; Weiyang Liu; Michael J. Black (CVPR, 2025)

VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models. - Muchao Ye; Weiyang Liu; Pan He (CVPR, 2025)

Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets. - Zhen Liu 019; Tim Z. Xiao; Weiyang Liu; Yoshua Bengio; Dinghuai Zhang (ICLR, 2025)

Can Large Language Models Understand Symbolic Graphics Programs? - Zeju Qiu; Weiyang Liu; Haiwen Feng; Zhen Liu 019; Tim Z. Xiao; Katherine M. Collins; Joshua B. Tenenbaum; Adrian Weller; Michael J. Black; Bernhard Schölkopf (ICLR, 2025)

Verbalized Machine Learning: Revisiting Machine Learning with Language Models. - Tim Z. Xiao; Robert Bamler; Bernhard Schölkopf; Weiyang Liu (Trans. Mach. Learn. Res., 2025)

Generating Symbolic World Models via Test-time Scaling of Large Language Models. - Zhouliang Yu; Yuhuan Yuan; Tim Z. Xiao; Fuxiang Frank Xia; Jie Fu 001; Ge Zhang 009; Ge Lin; Weiyang Liu (Trans. Mach. Learn. Res., 2025)

Automated echocardiogram image quality assessment with YOLO and resnet in the left ventricular myocardium of A4C views. - Weiyang Liu; Qiushuang Wang; Peifang Zhang; Yujiao Deng; Yawei Zhao; Yongming Zhang; Hongli Xu; Xiaowan Qiu; Xu Chen; Jiayu Xu; Kunlun He (Appl. Intell., 2025)

FormalMATH: Benchmarking Formal Mathematical Reasoning of Large Language Models. - Zhouliang Yu; Ruotian Peng; Keyi Ding; Yizhe Li; Zhongyuan Peng; Minghao Liu 003; Yifan Zhang; Zheng Yuan; Huajian Xin; Wenhao Huang 001; Yandong Wen; Ge Zhang 009; et al. (CoRR, 2025)

Reparameterized LLM Training via Orthogonal Equivalence Transformation. - Zeju Qiu; Simon Buchholz; Tim Z. Xiao; Maximilian Dax; Bernhard Schölkopf; Weiyang Liu (CoRR, 2025)

Flipping Against All Odds: Reducing LLM Coin Flip Bias via Verbalized Rejection Sampling. - Tim Z. Xiao; Johannes Zenn; Zhen Liu 019; Weiyang Liu; Robert Bamler; Bernhard Schölkopf (CoRR, 2025)

Orthogonal Finetuning Made Scalable. - Zeju Qiu; Weiyang Liu; Adrian Weller; Bernhard Schölkopf (CoRR, 2025)