Jiang, Xin

54 publications

WACV 2025 @BENCH: Benchmarking Vision-Language Models for Human-Centered Assistive Technology Xin Jiang, Junwei Zheng, Ruiping Liu, Jiahang Li, Jiaming Zhang, Sven Matthiesen, Rainer Stiefelhagen

ICCV 2025 A Unified Interpretation of Training-Time Out-of-Distribution Detection Xu Cheng, Xin Jiang, Zechao Li

ICLR 2025 Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning Jiacheng Ye, Jiahui Gao, Shansan Gong, Lin Zheng, Xin Jiang, Zhenguo Li, Lingpeng Kong

ICLR 2025 Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization Yuxin Jiang, Bo Huang, Yufei Wang, Xingshan Zeng, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Wei Wang

AAAI 2025 CognitionCapturer: Decoding Visual Stimuli from Human EEG Signal with Multimodal Information Kaifan Zhang, Lihuo He, Xin Jiang, Wen Lu, Di Wang, Xinbo Gao

ICCV 2025 Exploiting Frequency Dynamics for Enhanced Multimodal Event-Based Action Recognition Meiqi Cao, Xiangbo Shu, Xin Jiang, Rui Yan, Yazhou Yao, Jinhui Tang

ICLR 2025 FaceShot: Bring Any Character into Life Junyao Gao, Yanan Sun, Fei Shen, Xin Jiang, Zhening Xing, Kai Chen, Cairong Zhao

ICML 2025 FlatQuant: Flatness Matters for LLM Quantization Yuxuan Sun, Ruikang Liu, Haoli Bai, Han Bao, Kang Zhao, Yuening Li, Jiaxin Hu, Xianzhi Yu, Lu Hou, Chun Yuan, Xin Jiang, Wulong Liu, Jun Yao

ICLR 2025 Forewarned Is Forearmed: Harnessing LLMs for Data Synthesis via Failure-Induced Exploration Qintong Li, Jiahui Gao, Sheng Wang, Renjie Pi, Xueliang Zhao, Chuan Wu, Xin Jiang, Zhenguo Li, Lingpeng Kong

AAAI 2025 IMAGDressing-V1: Customizable Virtual Dressing Fei Shen, Xin Jiang, Xin He, Hu Ye, Cong Wang, Xiaoyu Du, Zechao Li, Jinhui Tang

ICLR 2025 Implicit Search via Discrete Diffusion: A Study on Chess Jiacheng Ye, Zhenyu Wu, Jiahui Gao, Zhiyong Wu, Xin Jiang, Zhenguo Li, Lingpeng Kong

IJCAI 2025 Not All Layers of LLMs Are Necessary During Inference Siqi Fan, Xin Jiang, Xiang Li, Xuying Meng, Peng Han, Shuo Shang, Aixin Sun, Yequan Wang

ICLR 2025 RevisEval: Improving LLM-as-a-Judge via Response-Adapted References Qiyuan Zhang, Yufei Wang, Tiezheng Yu, Yuxin Jiang, Chuhan Wu, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Fuyuan Lyu, Chen Ma

ICML 2025 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

ICLR 2025 ToolACE: Winning the Points of LLM Function Calling Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, Zezhong Wang, Yuxian Wang, Wu Ning, Yutai Hou, Bin Wang, Chuhan Wu, Wang Xinzhi, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, Enhong Chen

NeurIPS 2024 DAPE: Data-Adaptive Positional Encoding for Length Extrapolation Chuanyang Zheng, Yihang Gao, Han Shi, Minbin Huang, Jingyao Li, Jing Xiong, Xiaozhe Ren, Michael Ng, Xin Jiang, Zhenguo Li, Yu Li

AAAI 2024 Delving into Multimodal Prompting for Fine-Grained Visual Classification Xin Jiang, Hao Tang, Junyao Gao, Xiaoyu Du, Shengfeng He, Zechao Li

NeurIPS 2024 Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models Jiacheng Ye, Shansan Gong, Liheng Chen, Lin Zheng, Jiahui Gao, Han Shi, Chuan Wu, Xin Jiang, Zhenguo Li, Wei Bi, Lingpeng Kong

NeurIPS 2024 Extracting Training Data from Molecular Pre-Trained Models Renhong Huang, Jiarong Xu, Zhiming Yang, Xiang Si, Xin Jiang, Hanyang Yuan, Chunping Wang, Yang Yang

AAAI 2024 Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks Renhong Huang, Jiarong Xu, Xin Jiang, Chenglu Pan, Zhiming Yang, Chunping Wang, Yang Yang

AAAI 2024 Preparing Lessons for Progressive Training on Language Models Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu

ICLR 2024 Retrieval-Based Disentangled Representation Learning with Natural Language Supervision Jiawei Zhou, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Lei Chen

AAAI 2024 Unsupervised Extractive Summarization with Learnable Length Control Strategies Renlong Jie, Xiaojun Meng, Xin Jiang, Qun Liu

ICML 2023 A Study on Transformer Configuration and Training Objective Fuzhao Xue, Jianghai Chen, Aixin Sun, Xiaozhe Ren, Zangwei Zheng, Xiaoxin He, Yongming Chen, Xin Jiang, Yang You

NeurIPS 2023 Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks Jiarong Xu, Renhong Huang, Xin Jiang, Yuxuan Cao, Carl Yang, Chunping Wang, Yang Yang

AAAI 2023 KPT: Keyword-Guided Pre-Training for Grounded Dialog Generation Qi Zhu, Fei Mi, Zheng Zhang, Yasheng Wang, Yitong Li, Xin Jiang, Qun Liu, Xiaoyan Zhu, Minlie Huang

IJCAI 2023 Learning Summary-Worthy Visual Representation for Abstractive Summarization in Video Zenan Xu, Xiaojun Meng, Yasheng Wang, Qinliang Su, Zexuan Qiu, Xin Jiang, Qun Liu

NeurIPS 2023 Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline Zangwei Zheng, Xiaozhe Ren, Fuzhao Xue, Yang Luo, Xin Jiang, Yang You

NeurIPS 2023 Reusing Pretrained Models by Multi-Linear Operators for Efficient Training Yu Pan, Ye Yuan, Yichun Yin, Zenglin Xu, Lifeng Shang, Xin Jiang, Qun Liu

AAAI 2022 AutoBERT-Zero: Evolving BERT Backbone from Scratch Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L. H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li

AAAI 2022 Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs Jiarong Xu, Yizhou Sun, Xin Jiang, Yanhao Wang, Chunping Wang, Jiangang Lu, Yang Yang

ICML 2022 Boosting Graph Structure Learning with Dummy Nodes Xin Liu, Jiayang Cheng, Yangqiu Song, Xin Jiang

ICLR 2022 Exploring Extreme Parameter Compression for Pre-Trained Language Models Benyou Wang, Yuxin Ren, Lifeng Shang, Xin Jiang, Qun Liu

ICLR 2022 FILIP: Fine-Grained Interactive Language-Image Pre-Training Lewei Yao, Runhui Huang, Lu Hou, Guansong Lu, Minzhe Niu, Hang Xu, Xiaodan Liang, Zhenguo Li, Xin Jiang, Chunjing Xu

ICLR 2022 SPIRAL: Self-Supervised Perturbation-Invariant Representation Learning for Speech Pre-Training Wenyong Huang, Zhenhe Zhang, Yu Ting Yeung, Xin Jiang, Qun Liu

NeurIPS 2022 Towards Efficient Post-Training Quantization of Pre-Trained Language Models Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Irwin King, Michael R Lyu

CVPR 2022 UTC: A Unified Transformer with Inter-Task Contrastive Learning for Visual Dialog Cheng Chen, Zhenshan Tan, Qingrong Cheng, Xin Jiang, Qun Liu, Yudong Zhu, Xiaodong Gu

AAAI 2022 UniMS: A Unified Framework for Multimodal Summarization with Knowledge Distillation Zhengkun Zhang, Xiaojun Meng, Yasheng Wang, Xin Jiang, Qun Liu, Zhenglu Yang

AAAI 2022 Unsupervised Adversarially Robust Representation Learning on Graphs Jiarong Xu, Yang Yang, Junru Chen, Xin Jiang, Chunping Wang, Jiangang Lu, Yizhou Sun

NeurIPS 2022 Wukong: A 100 Million Large-Scale Chinese Cross-Modal Pre-Training Benchmark Jiaxi Gu, Xiaojun Meng, Guansong Lu, Lu Hou, Niu Minzhe, Xiaodan Liang, Lewei Yao, Runhui Huang, Wei Zhang, Xin Jiang, Chunjing Xu, Hang Xu

AAAI 2021 Continuous Self-Attention Models with Neural ODE Networks Jing Zhang, Peng Zhang, Baiwen Kong, Junqiu Wei, Xin Jiang

AAAI 2021 HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions Shaobo Li, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Chengjie Sun, Zhenzhou Ji, Bingquan Liu

ICML 2021 Improved OOD Generalization via Adversarial Training and Pretraing Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhiming Ma

ICLR 2021 On Position Embeddings in BERT Benyou Wang, Lifeng Shang, Christina Lioma, Xin Jiang, Hao Yang, Qun Liu, Jakob Grue Simonsen

ICMLW 2021 Red Alarm for Pre-Trained Models: Universal Vulnerability to Neuron-Level Backdoor Attacks Zhengyan Zhang, Guangxuan Xiao, Yongwei Li, Tian Lv, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Xin Jiang, Maosong Sun

ICLR 2021 Reweighting Augmented Samples by Minimizing the Maximal Expected Loss Mingyang Yi, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma

AAAI 2020 Dialog State Tracking with Reinforced Data Augmentation Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu

NeurIPS 2020 DynaBERT: Dynamic BERT with Adaptive Width and Depth Lu Hou, Zhiqi Huang, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu

IJCAI 2020 On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification Xin Liu, Jiefu Ou, Yangqiu Song, Xin Jiang

ICLR 2020 Progressive Memory Banks for Incremental Domain Adaptation Nabiha Asghar, Lili Mou, Kira A. Selby, Kevin D. Pantasdo, Pascal Poupart, Xin Jiang

NeurIPS 2020 Unsupervised Text Generation by Learning from Search Jingjing Li, Zichao Li, Lili Mou, Xin Jiang, Michael Lyu, Irwin King

JAIR 2019 Interpretable Charge Prediction for Criminal Cases with Dynamic Rationale Attention Wenhan Chao, Xin Jiang, Zhunchen Luo, Yakun Hu, Wenjia Ma

ICMLW 2019 Progressive Memory Banks for Incremental Domain Adaptation Nabiha Asghar, Lili Mou, Kira A. Selby, Kevin D. Pantasdo, Pascal Poupart, Xin Jiang

IJCAI 2016 Neural Generative Question Answering Jun Yin, Xin Jiang, Zhengdong Lu, Lifeng Shang, Hang Li, Xiaoming Li