Wang, Xinyi

40 publications

TMLR 2026 KITTEN: A Knowledge-Integrated Evaluation of Image Generation on Visual Entities Hsin-Ping Huang, Xinyi Wang, Yonatan Bitton, Hagai Taitelbaum, Gaurav Singh Tomar, Ming-Wei Chang, Xuhui Jia, Kelvin C.K. Chan, Hexiang Hu, Yu-Chuan Su, Ming-Hsuan Yang
NeurIPS 2025 AffordBot: 3D Fine-Grained Embodied Reasoning via Multimodal Large Language Models Xinyi Wang, Xun Yang, Yanlong Xu, Yuchen Wu, Zhen Li, Na Zhao
AAAI 2025 AugRefer: Advancing 3D Visual Grounding via Cross-Modal Augmentation and Spatial Relation-Based Referring Xinyi Wang, Na Zhao, Zhiyuan Han, Dan Guo, Xun Yang
ICCV 2025 CombatVLA: An Efficient Vision-Language-Action Model for Combat Tasks in 3D Action Role-Playing Games Peng Chen, Pi Bu, Yingyao Wang, Xinyi Wang, Ziming Wang, Jie Guo, Yingxiu Zhao, Qi Zhu, Jun Song, Siran Yang, Jiamang Wang, Bo Zheng
ICCV 2025 GM-MoE: Low-Light Enhancement with Gated-Mechanism Mixture-of-Experts Minwen Liao, Haobo Dong, Xinyi Wang, Kurban Ubul, Yihua Shao, Ziyang Yan
ICLR 2025 Generalization V.s. Memorization: Tracing Language Models’ Capabilities Back to Pretraining Data Xinyi Wang, Antonis Antoniades, Yanai Elazar, Alfonso Amayuelas, Alon Albalak, Kexun Zhang, William Yang Wang
UAI 2025 Improving Adversarial Transferability via Decision Boundary Adaptation Jiayu Zhang, Zhiyu Zhu, Zhibo Jin, Xinyi Wang, Huaming Chen, Kim-Kwang Raymond Choo
CVPR 2025 Logits DeConfusion with CLIP for Few-Shot Learning Shuo Li, Fang Liu, Zehua Hao, Xinyi Wang, Lingling Li, Xu Liu, Puhua Chen, Wenping Ma
L4DC 2025 Multi-Constraint Safe Reinforcement Learning via Closed-Form Solution for Log-Sum-Exp Approximation of Control Barrier Functions Chenggang Wang, Xinyi Wang, Yutong Dong, Lei Song, Xinping Guan
ECML-PKDD 2025 PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-Regression AdvGAN Jiayu Zhang, Zhiyu Zhu, Xinyi Wang, Silin Liao, Zhibo Jin, Flora Salim, Huaming Chen
ICML 2025 Splitting & Integrating: Out-of-Distribution Detection via Adversarial Gradient Attribution Jiayu Zhang, Xinyi Wang, Zhibo Jin, Zhiyu Zhu, Jianlong Zhou, Fang Chen, Huaming Chen
TMLR 2024 A Survey on Data Selection for Language Models Alon Albalak, Yanai Elazar, Sang Michael Xie, Shayne Longpre, Nathan Lambert, Xinyi Wang, Niklas Muennighoff, Bairu Hou, Liangming Pan, Haewon Jeong, Colin Raffel, Shiyu Chang, Tatsunori Hashimoto, William Yang Wang
ICLR 2024 AttEXplore: Attribution for Explanation with Model Parameters eXploration Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Jason Xue, Flora D. Salim
ICLR 2024 Enhancing Transferable Adversarial Attacks on Vision Transformers Through Gradient Normalization Scaling and High-Frequency Adaptation Zhiyu Zhu, Xinyi Wang, Zhibo Jin, Jiayu Zhang, Huaming Chen
ICMLW 2024 Generalization vs. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data Antonis Antoniades, Xinyi Wang, Yanai Elazar, Alfonso Amayuelas, Alon Albalak, Kexun Zhang, William Yang Wang
ICML 2024 Iterative Search Attribution for Deep Neural Networks Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Jason Xue, Jun Shen
AAAI 2024 MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Minhui Xue, Dongxiao Zhu, Kim-Kwang Raymond Choo
MIDL 2024 OFELIA: Optical Flow-Based Electrode LocalIzAtion Xinyi Wang, Zikang Xu, Qingsong Yao, Yiyong Sun, S Kevin Zhou
ICML 2024 Position: AI/ML Influencers Have a Place in the Academic Process Iain Weissburg, Mehir Arora, Xinyi Wang, Liangming Pan, William Yang Wang
NeurIPS 2024 T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback Jiachen Li, Weixi Feng, Tsu-Jui Fu, Xinyi Wang, Sugato Basu, Wenhu Chen, William Yang Wang
ICML 2024 The Good, the Bad, and Why: Unveiling Emotions in Generative AI Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie
ICML 2024 Understanding Reasoning Ability of Language Models from the Perspective of Reasoning Paths Aggregation Xinyi Wang, Alfonso Amayuelas, Kexun Zhang, Liangming Pan, Wenhu Chen, William Yang Wang
ICLRW 2024 Understanding the Reasoning Ability of Language Models from the Perspective of Reasoning Paths Aggregation Xinyi Wang, Alfonso Amayuelas, Kexun Zhang, Liangming Pan, Wenhu Chen, William Yang Wang
ICLR 2023 Causal Balancing for Domain Generalization Xinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang, Kun Zhang, William Yang Wang
ICMLW 2023 Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Learning Xinyi Wang, Wanrong Zhu, Michael Saxon, Mark Steyvers, William Yang Wang
NeurIPS 2023 Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning Xinyi Wang, Wanrong Zhu, Michael Saxon, Mark Steyvers, William Yang Wang
CVPRW 2023 NTIRE 2023 Challenge on Image Super-Resolution (×4): Methods and Results Yulun Zhang, Kai Zhang, Zheng Chen, Yawei Li, Radu Timofte, Junpei Zhang, Kexin Zhang, Rui Peng, Yanbiao Ma, Licheng Jia, Huaibo Huang, Xiaoqiang Zhou, Yuang Ai, Ran He, Yajun Qiu, Qiang Zhu, Pengfei Li, Qianhui Li, Shuyuan Zhu, Dafeng Zhang, Jia Li, Fan Wang, Chunmiao Li, TaeHyung Kim, Jungkeong Kil, Eon Kim, Yeonseung Yu, Beomyeol Lee, Subin Lee, Seokjae Lim, Somi Chae, Heungjun Choi, Zhi-Kai Huang, YiChung Chen, Yuan-Chun Chiang, Hao-Hsiang Yang, Wei-Ting Chen, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Ui-Jin Choi, Marcos V. Conde, Sunder Ali Khowaja, Jiseok Yoon, Ik Hyun Lee, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Zhao Zhang, Baiang Li, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Jiayu Wei, Yanfeng Li, Jia Sun, Zhanyi Cheng, Zhiyuan Li, Xu Yao, Xinyi Wang, Danxu Li, Xuan Cui, Jun Cao, Cheng Li, Jianbin Zheng, Anjali Sarvaiya, Kalpesh Prajapati, Ratnadeep Patra, Pragnesh Barik, Chaitanya Rathod, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch
TMLR 2023 Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks Wenhu Chen, Xueguang Ma, Xinyi Wang, William W. Cohen
ICMLW 2023 Reasoning Ability Emerges in Large Language Models as Aggregation of Reasoning Paths: A Case Study with Knowledge Graphs Xinyi Wang, William Yang Wang
ICCVW 2023 The Robust Semantic Segmentation UNCV2023 Challenge Results Xuanlong Yu, Yi Zuo, Zitao Wang, Xiaowen Zhang, Jiaxuan Zhao, Yuting Yang, Licheng Jiao, Rui Peng, Xinyi Wang, Junpei Zhang, Kexin Zhang, Fang Liu, Roberto Alcover-Couso, Juan C. SanMiguel, Marcos Escudero-Viñolo, Hanlin Tian, Kenta Matsui, Tianhao Wang, Fahmy Adan, Zhitong Gao, Xuming He, Quentin Bouniot, Hossein Moghaddam, Shyam Nandan Rai, Fabio Cermelli, Carlo Masone, Andrea Pilzer, Elisa Ricci, Andrei Bursuc, Arno Solin, Martin Trapp, Rui Li, Angela Yao, Wenlong Chen, Ivor Simpson, Neill D. F. Campbell, Gianni Franchi
ECML-PKDD 2023 Towards Minimising Perturbation Rate for Adversarial Machine Learning with Pruning Zhiyu Zhu, Jiayu Zhang, Zhibo Jin, Xinyi Wang, Minhui Xue, Jun Shen, Kim-Kwang Raymond Choo, Huaming Chen
ICMLW 2022 Causal Balancing for Domain Generalization Xinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang, Kun Zhang, William Yang Wang
JMLR 2022 Innovations Autoencoder and Its Application in One-Class Anomalous Sequence Detection Xinyi Wang, Lang Tong
LoG 2022 Taxonomy of Benchmarks in Graph Representation Learning Renming Liu, Semih Cantürk, Frederik Wenkel, Sarah McGuire, Xinyi Wang, Anna Little, Leslie O’ Bray, Michael Perlmutter, Bastian Rieck, Matthew Hirn, Guy Wolf, Ladislav Rampášek
NeurIPS 2021 Counterfactual Maximum Likelihood Estimation for Training Deep Networks Xinyi Wang, Wenhu Chen, Michael Saxon, William Yang Wang
ICLR 2021 Meta Back-Translation Hieu Pham, Xinyi Wang, Yiming Yang, Graham Neubig
ICLR 2020 A Probabilistic Formulation of Unsupervised Text Style Transfer Junxian He, Xinyi Wang, Graham Neubig, Taylor Berg-Kirkpatrick
AISTATS 2020 Neural Topic Model with Attention for Supervised Learning Xinyi Wang, Yi Yang
ICML 2020 Optimizing Data Usage via Differentiable Rewards Xinyi Wang, Hieu Pham, Paul Michel, Antonios Anastasopoulos, Jaime Carbonell, Graham Neubig
ICLR 2019 Multilingual Neural Machine Translation with Soft Decoupled Encoding Xinyi Wang, Hieu Pham, Philip Arthur, Graham Neubig