Transferable Interactiveness Prior for Human-Object Interaction Detection. - Yong-Lu Li 001; Siyuan Zhou; Xijie Huang; Liang Xu 012; Ze Ma; Haoshu Fang; Yanfeng Wang; Cewu Lu (CoRR, 2018)

Transferable Interactiveness Knowledge for Human-Object Interaction Detection. - Yong-Lu Li 001; Siyuan Zhou; Xijie Huang; Liang Xu 012; Ze Ma; Haoshu Fang; Yanfeng Wang; Cewu Lu (CVPR, 2019)

HAKE: Human Activity Knowledge Engine. - Yong-Lu Li 001; Liang Xu 012; Xijie Huang; Xinpeng Liu 002; Ze Ma; Mingyang Chen; Shiyi Wang; Haoshu Fang; Cewu Lu (CoRR, 2019)

NeuronInspect: Detecting Backdoors in Neural Networks via Output Explanations. - Xijie Huang; Moustafa Alzantot; Mani B. Srivastava (CoRR, 2019)

Latent Fingerprint Image Enhancement Based on Progressive Generative Adversarial Network. - Xijie Huang; Peng Qian; Manhua Liu (CVPR Workshops, 2020)

PaStaNet: Toward Human Activity Knowledge Engine. - Yong-Lu Li 001; Liang Xu 012; Xinpeng Liu 002; Xijie Huang; Yue Xu; Shiyi Wang; Haoshu Fang; Ze Ma; Mingyang Chen; Cewu Lu (CVPR, 2020)

Classification of Imbalanced Fetal Health Data by PSO Based Ensemble Recursive Feature Elimination ANN. - Jun Gao; Canpeng Huang; Xijie Huang; Kaishan Huang; Hong Wang (ICSI (2), 2021)

Automated Vision-Based Wellness Analysis for Elderly Care Centers. - Xijie Huang; Jeffry Wicaksana; Shichao Li 002; Kwang-Ting Cheng (CoRR, 2021)

SDQ: Stochastic Differentiable Quantization with Mixed Precision. - Xijie Huang; Zhiqiang Shen; Shichao Li 002; Zechun Liu; Xianghong Hu; Jeffry Wicaksana; Eric P. Xing; Kwang-Ting Cheng (ICML, 2022)

Transferable Interactiveness Knowledge for Human-Object Interaction Detection. - Yong-Lu Li 001; Xinpeng Liu 002; Xiaoqian Wu; Xijie Huang; Liang Xu 012; Cewu Lu (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

LLM-FP4: 4-Bit Floating-Point Quantized Transformers. - Shih-Yang Liu; Zechun Liu; Xijie Huang; Pingcheng Dong; Kwang-Ting Cheng (EMNLP, 2023)

Efficient Quantization-aware Training with Adaptive Coreset Selection. - Xijie Huang; Zechun Liu; Shih-Yang Liu; Kwang-Ting Cheng (CoRR, 2023)

Variation-aware Vision Transformer Quantization. - Xijie Huang; Zhiqiang Shen; Kwang-Ting Cheng (CoRR, 2023)

VideoPro: A Visual Analytics Approach for Interactive Video Programming. - Jianben He; Xingbo Wang 001; Kamkwai Wong; Xijie Huang; Changjian Chen; Zixin Chen; Fengjie Wang; Min Zhu 005; Huamin Qu (CoRR, 2023)

Boosting LLM Reasoning: Push the Limits of Few-shot Learning with Reinforced In-Context Pruning. - Xijie Huang; Li Lyna Zhang; Kwang-Ting Cheng; Mao Yang 004 (CoRR, 2023)

FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation. - Jeffry Wicaksana; Zengqiang Yan; Dong Zhang; Xijie Huang; Huimin Wu 001; Xin Yang 008; Kwang-Ting Cheng (IEEE Trans. Medical Imaging, 2023)

A Tiny Accelerator for Mixed-Bit Sparse CNN Based on Efficient Fetch Method of SIMO SPad. - Xianghong Hu; Xuejiao Liu; Yu Liu 007; Haowei Zhang; Xijie Huang; Xihao Guan; Luhong Liang; Chi-Ying Tsui; Xiaoming Xiong; Kwang-Ting Cheng (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

CMOSE: Comprehensive Multi-Modality Online Student Engagement Dataset with High-Quality Labels. - Chi-Hsuan Wu; Shih-Yang Liu; Xijie Huang; Xingbo Wang 001; Rong Zhang 011; Luca Minciullo; Wong Kai Yiu; Kenny Kwan; Kwang-Ting Cheng (CVPR Workshops, 2024)

Genetic Quantization-Aware Approximation for Non-Linear Operations in Transformers. - Pingcheng Dong; Yonghao Tan; Dong Zhang; Tianwei Ni; Xuejiao Liu; Yu Liu 007; Peng Luo; Luhong Liang; Shih-Yang Liu; Xijie Huang; Huaiyu Zhu 004; Yun Pan; et al. (DAC, 2024)

RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization. - Xijie Huang; Zechun Liu; Shih-Yang Liu; Kwang-Ting Cheng (EMNLP (Findings), 2024)

Fewer is More: Boosting Math Reasoning with Reinforced Context Pruning. - Xijie Huang; Li Lyna Zhang; Kwang-Ting Cheng; Fan Yang 024; Mao Yang 004 (EMNLP, 2024)

Cross-Modality Jailbreak and Mismatched Attacks on Medical Multimodal Large Language Models. - Xijie Huang; Xinyuan Wang 009; Hantao Zhang; Jiawen Xi; Jingkun An; Hao Wang; Chengwei Pan (CoRR, 2024)

KeyVideoLLM: Towards Large-scale Video Keyframe Selection. - Hao Liang; Jiapeng Li; Tianyi Bai; Xijie Huang; Linzhuang Sun; Zhengren Wang; Conghui He; Bin Cui 001; Chong Chen 001; Wentao Zhang 001 (CoRR, 2024)

SynthVLM: High-Efficiency and High-Quality Synthetic Data for Vision Language Models. - Zheng Liu; Hao Liang; Xijie Huang; Wentao Xiong; Qinhan Yu; Linzhuang Sun; Chong Chen 001; Conghui He; Bin Cui 001; Wentao Zhang 001 (CoRR, 2024)

Synth-Empathy: Towards High-Quality Synthetic Empathy Data. - Hao Liang; Linzhuang Sun; Jingxuan Wei; Xijie Huang; Linkun Sun; Bihui Yu; Conghui He; Wentao Zhang (CoRR, 2024)

Robust and Efficient Quantization-aware Training via Coreset Selection. - Xijie Huang; Zechun Liu; Shih-Yang Liu; Kwang-Ting Cheng (Trans. Mach. Learn. Res., 2024)

Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precision. - Xijie Huang; Zhiqiang Shen; Pingcheng Dong; Kwang-Ting Cheng (Trans. Mach. Learn. Res., 2024)

: A Visual Analytics Approach for Interactive Video Programming. - Jianben He; Xingbo Wang 001; Kamkwai Wong; Xijie Huang; Changjian Chen; Zixin Chen; Fengjie Wang; Min Zhu 005; Huamin Qu (IEEE Trans. Vis. Comput. Graph., 2024)

AGFSync: Leveraging AI-Generated Feedback for Preference Optimization in Text-to-Image Generation. - Jingkun An; Yinghao Zhu; Zongjian Li; Enshen Zhou; Haoran Feng; Xijie Huang; Bohua Chen; Yemin Shi 001; Chengwei Pan (AAAI, 2025)

Medical MLLM Is Vulnerable: Cross-Modality Jailbreak and Mismatched Attacks on Medical Multimodal Large Language Models. - Xijie Huang; Xinyuan Wang 009; Hantao Zhang; Yinghao Zhu; Jiawen Xi; Jingkun An; Hao Wang; Hao Liang; Chengwei Pan (AAAI, 2025)

SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training. - Jierun Chen; Dongting Hu; Xijie Huang; Huseyin Coskun; Arpit Sahni; Aarush Gupta; Anujraaj Goyal; Dishani Lahiri; Rajesh Singh; Yerlan Idelbayev; Junli Cao; Yanyu Li; et al. (CVPR, 2025)

A 28nm 0.22μJ/Token Memory-Compute-Intensity-Aware CNN-Transformer Accelerator with Hybrid-Attention-Based Layer-Fusion and Cascaded Pruning for Semantic-Segmentation. - Pingcheng Dong; Yonghao Tan; Xuejiao Liu; Peng Luo; Yu Liu 007; Luhong Liang; Yitong Zhou; Di Pang; Manto Yung; Dong Zhang; Xijie Huang; Shih-Yang Liu; et al. (ISSCC, 2025)

AISafetyLab: A Comprehensive Framework for AI Safety Evaluation and Improvement. - Zhexin Zhang; Leqi Lei; Junxiao Yang; Xijie Huang; Yida Lu; Shiyao Cui; Renmiao Chen; Qinglin Zhang; Xinyuan Wang 009; Hao Wang; Hao Li; Xianqi Lei; et al. (CoRR, 2025)

APSQ: Additive Partial Sum Quantization with Algorithm-Hardware Co-Design. - Yonghao Tan; Pingcheng Dong; Yongkun Wu; Yu Liu 007; Xuejiao Liu; Peng Luo; Shih-Yang Liu; Xijie Huang; Dong Zhang; Luhong Liang; Kwang-Ting Cheng (CoRR, 2025)

Reactive Aerobatic Flight via Reinforcement Learning. - Zhichao Han 002; Xijie Huang; Zhuxiu Xu; Jiarui Zhang; Yuze Wu; Mingyang Wang; Tianyue Wu; Fei Gao 011 (CoRR, 2025)