Liu, Xiang

34 publications

ICLR 2026 Cross-ControlNet: Training-Free Fusion of Multiple Conditions for Text-to-Image Generation Xiang Liu, Junjun Jiang, Wei Han, Kui Jiang, Xianming Liu

ICLR 2026 DiffAdapt: Difficulty-Adaptive Reasoning for Token-Efficient LLM Inference Xiang Liu, Xuming Hu, Xiaowen Chu, Eunsol Choi

ICLR 2026 Reasoning Language Model Inference Serving Unveiled: An Empirical Study Qi Li, Junpan Wu, Xiang Liu, Yuxin Wang, Zeyu Li, Zhenheng Tang, Yuhan Chen, Shaohuai Shi, Xiaowen Chu

ICLR 2026 SPWOOD: Sparse Partial Weakly-Supervised Oriented Object Detection Wei Zhang, Xiang Liu, Ningjing Liu, Mingxin Liu, Wei Liao, Chunyan Xu, Xue Yang

ICLR 2026 Teach2Eval: An Interaction-Driven LLMs Evaluation Method via Teaching Effectiveness Yuhang Zhou, Xutian Chen, Yixin Cao, Yuchen Ni, Yu He, Siyu Tian, Xiang Liu, Yunwen Chen, Guangnan Ye, Xipeng Qiu, Hongfeng Chai

ICLR 2025 An Exploration with Entropy Constrained 3D Gaussians for 2D Video Compression Xiang Liu, Bin Chen, Zimo Liu, Yaowei Wang, Shu-Tao Xia

ICML 2025 Can Compressed LLMs Truly Act? an Empirical Evaluation of Agentic Capabilities in LLM Compression Peijie Dong, Zhenheng Tang, Xiang Liu, Lujun Li, Xiaowen Chu, Bo Li

NeurIPS 2025 ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference Xiang Liu, Zhenheng Tang, Peijie Dong, Zeyu Li, Liuyue, Bo Li, Xuming Hu, Xiaowen Chu

CVPR 2025 Dual-Agent Optimization Framework for Cross-Domain Few-Shot Segmentation Zhaoyang Li, Yuan Wang, Wangkai Li, Tianzhu Zhang, Xiang Liu

ICLR 2025 Learning Shape-Independent Transformation via Spherical Representations for Category-Level Object Pose Estimation Huan Ren, Wenfei Yang, Xiang Liu, Shifeng Zhang, Tianzhu Zhang

AAAI 2025 Non-Stochastic Budgeted Online Pricing with Semi-Bandit Feedback Xiang Liu, Hau Chan, Minming Li, Weiwei Wu, Long Tran-Thanh

IJCAI 2025 One-Shot Federated Learning Methods: A Practical Guide Xiang Liu, Zhenheng Tang, Xia Li, Yijun Song, Sijie Ji, Zemin Liu, Bo Han, Linshan Jiang, Jialin Li

CVPR 2025 Optimizing for the Shortest Path in Denoising Diffusion Model Ping Chen, Xingpeng Zhang, Zhaoxiang Liu, Huan Hu, Xiang Liu, Kai Wang, Min Wang, Yanlin Qian, Shiguo Lian

AAAI 2025 ParZC: Parametric Zero-Cost Proxies for Efficient NAS Peijie Dong, Lujun Li, Zhenheng Tang, Xiang Liu, Zimian Wei, Qiang Wang, Xiaowen Chu

CVPR 2025 Rethinking Noisy Video-Text Retrieval via Relation-Aware Alignment Huakai Lai, Guoxin Xiong, Huayu Mai, Xiang Liu, Tianzhu Zhang

CVPR 2025 SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation Leigang Qu, Haochuan Li, Wenjie Wang, Xiang Liu, Juncheng Li, Liqiang Nie, Tat-Seng Chua

ICLR 2025 State Space Model Meets Transformer: A New Paradigm for 3D Object Detection Chuxin Wang, Wenfei Yang, Xiang Liu, Tianzhu Zhang

NeurIPS 2025 Styl3R: Instant 3D Stylized Reconstruction for Arbitrary Scenes and Styles Peng Wang, Xiang Liu, Peidong Liu

ECCV 2024 A Multimodal Benchmark Dataset and Model for Crop Disease Diagnosis Xiang Liu, Zhaoxiang Liu, Huan Hu, Zezhou Chen, Kohou Wang, Kai Wang, Shiguo Lian

IJCAI 2024 Budget Feasible Mechanisms: A Survey Xiang Liu, Hau Chan, Minming Li, Weiwei Wu

NeurIPS 2024 Discovering Sparsity Allocation for Layer-Wise Pruning of Large Language Models Lujun Li, Peijie Dong, Zhenheng Tang, Xiang Liu, Qiang Wang, Wenhan Luo, Wei Xue, Qifeng Liu, Xiaowen Chu, Yike Guo

NeurIPS 2024 FedLPA: One-Shot Federated Learning with Layer-Wise Posterior Aggregation Xiang Liu, Liangxi Liu, Feiyang Ye, Yunheng Shen, Xia Li, Linshan Jiang, Jialin Li

NeurIPS 2024 LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning Rui Pan, Xiang Liu, Shizhe Diao, Renjie Pi, Jipeng Zhang, Chi Han, Tong Zhang

ICMLW 2024 Path Complex Neural Network for Molecular Property Prediction Longlong Li, Xiang Liu, Guanghui Wang, Yu Guang Wang, Kelin Xia

ICML 2024 Pruner-Zero: Evolving Symbolic Pruning Metric from Scratch for Large Language Models Peijie Dong, Lujun Li, Zhenheng Tang, Xiang Liu, Xinglin Pan, Qiang Wang, Xiaowen Chu

NeurIPS 2024 Should We Really Edit Language Models? on the Evaluation of Edited Language Models Qi Li, Xiang Liu, Zhenheng Tang, Peijie Dong, Zeyu Li, Xinglin Pan, Xiaowen Chu

ECCV 2022 Cross-Modality Transformer for Visible-Infrared Person Re-Identification Kongzhu Jiang, Tianzhu Zhang, Xiang Liu, Bingqiao Qian, Yongdong Zhang, Feng Wu

ICLRW 2022 Persistent Tor-Algebra Based Stacking Ensemble Learning (PTA-SEL) for Protein-Protein Binding Affinity Prediction Xiang Liu, Kelin Xia

AAAI 2021 Budget Feasible Mechanisms over Graphs Xiang Liu, Weiwei Wu, Minming Li, Wanyuan Wang

IJCAI 2021 Budget-Feasible Mechanisms for Representing Groups of Agents Proportionally Xiang Liu, Hau Chan, Minming Li, Weiwei Wu

NeurIPSW 2021 Calculus of Consent via MARL: Legitimating the Collaborative Governance Supplying Public Goods Yuxian Hu, Zhenfei Zhu, Siyu Song, Xiang Liu, Yitao Yu

CVPR 2021 Diverse Part Discovery: Occluded Person Re-Identification with Part-Aware Transformer Yulin Li, Jianfeng He, Tianzhu Zhang, Xiang Liu, Yongdong Zhang, Feng Wu

IJCAI 2018 Budget-Feasible Procurement Mechanisms in Two-Sided Markets Weiwei Wu, Xiang Liu, Minming Li

CVPRW 2018 Jersey Number Recognition with Semi-Supervised Spatial Transformer Network Gen Li, Shikun Xu, Xiang Liu, Lei Li, Changhu Wang