Xia, Tian

17 publications

ICML 2025 Diffusion Counterfactual Generation with Semantic Abduction Rajat R Rasal, Avinash Kori, Fabio De Sousa Ribeiro, Tian Xia, Ben Glocker

NeurIPS 2025 GeGS-PCR: Fast and Robust Color 3D Point Cloud Registration with Two-Stage Geometric-3DGS Fusion Jiayi Tian, Haiduo Huang, Tian Xia, Wenzhe Zhao, Pengju Ren

ICLR 2025 GotenNet: Rethinking Efficient 3D Equivariant Graph Neural Networks Sarp Aykent, Tian Xia

IJCAI 2025 MiniMal: Hard-Label Adversarial Attack Against Static Malware Detection with Minimal Perturbation Chengyi Li, Zhiyuan Jiang, Yongjun Wang, Tian Xia, Yayuan Zhang, Yuhang Mao

ICLRW 2025 Systematic Evaluation of LLM-as-a-Judge in LLM Alignment Tasks: Explainable Metrics and Diverse Prompt Templates Hui Wei, Shenghua He, Tian Xia, Fei Liu, Andy Wong, Jingyang Lin, Mei Han

ICLRW 2024 R-Judge: Benchmarking Safety Risk Awareness for LLM Agents Tongxin Yuan, Zhiwei He, Lingzhong Dong, Yiming Wang, Ruijie Zhao, Tian Xia, Lizhen Xu, Binglin Zhou, Li Fangqi, Zhuosheng Zhang, Rui Wang, Gongshen Liu

ECCV 2024 Towards Dual Transparent Liquid Level Estimation in Biomedical Lab: Dataset, Methods and Practice Xiayu Wang, Ke Ma, Ruiyun Zhong, Xinggang Wang, Yi Fang, Yang Xiao, Tian Xia

TMLR 2024 UniCtrl: Improving the Spatiotemporal Consistency of Text-to-Video Diffusion Models via Training-Free Unified Attention Control Tian Xia, Xuweiyi Chen, Sihan Xu

AAAI 2023 Constrained Market Share Maximization by Signal-Guided Optimization Bo Hui, Yuchen Fang, Tian Xia, Sarp Aykent, Wei-Shinn Ku

ICML 2023 High Fidelity Image Counterfactuals with Probabilistic Causal Models Fabio De Sousa Ribeiro, Tian Xia, Miguel Monteiro, Nick Pawlowski, Ben Glocker

NeurIPS 2023 SaVeNet: A Scalable Vector Network for Enhanced Molecular Representation Learning Sarp Aykent, Tian Xia

AAAI 2020 Multi-Agent/Robot Deep Reinforcement Learning with Macro-Actions (Student Abstract) Yuchen Xiao, Joshua Hoffman, Tian Xia, Christopher Amato

AISTATS 2019 Adversarial Discrete Sequence Generation Without Explicit NeuralNetworks as Discriminators Zhongliang Li, Tian Xia, Xingyu Lou, Kaihe Xu, Shaojun Wang, Jing Xiao

CVPR 2017 Multi-View 3D Object Detection Network for Autonomous Driving Xiaozhi Chen, Huimin Ma, Ji Wan, Bo Li, Tian Xia

IJCAI 2015 A Direct Boosting Approach for Semi-Supervised Classification Shaodan Zhai, Tian Xia, Zhongliang Li, Shaojun Wang

CVPR 2015 Learning from Massive Noisy Labeled Data for Image Classification Tong Xiao, Tian Xia, Yi Yang, Chang Huang, Xiaogang Wang

NeurIPS 2013 Direct 0-1 Loss Minimization and Margin Maximization with Boosting Shaodan Zhai, Tian Xia, Ming Tan, Shaojun Wang