Xianglong Liu - RankMe

407 papers A* 110A 11B 5C 3Misc 2Journal 248Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AFTER: Mitigating the Object Hallucination of LVLM via Adaptive Factual-Guided Activation Editing. CoRR Tianbo Wang, Yuqing Ma, Kewei Liao, Zhange Zhang, Simin Li, Jinyang Guo, Xianglong Liu
2026	A*	`conf`	Activation Manipulation Attack: Penetrating and Harmful Jailbreak Attack Against Large Vision-Language Models. AAAI Haojie Hao, Jiakai Wang, Aishan Liu, Yuqing Ma, Haotong Qin, Yuanfang Guo, Xianglong Liu
2026	J	`jnl`	Advances and Innovations in the Multi-Agent Robotic System (MARS) Challenge. CoRR Li Kang, Heng Zhou, Xiufeng Song, Rui Li, Bruno N. Y. Chen, Ziye Wang, Ximeng Meng, Stone Tao, Yiran Qin, Xiaohong Liu, Ruimao Zhang, Lei Bai, Yilun Du, Hao Su, Philip Torr, Zhenfei Yin, Ruihao Gong, Yejun Zeng, Fengjun Zhong, Shenghao Jin, Jinyang Guo, Xianglong Liu, Xiaojun Jia, Tianqi Shan, Wenqi Ren, Simeng Qin, Jialing Yang, Xiaoyu Ma, Tianxing Chen, Zixuan Li, Zijian Cai, Yan Qin, Yusen Qin, Qiangyu Chen, Kaixuan Wang, Zhaoming Han, Yao Mu, Ping Luo, Yuanqi Yao, Haoming Song, Jan-Nico Zaech, Fabien Despinoy, Danda Pani Paudel, Luc Van Gool
2026	A*	`conf`	Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles. AAAI Jiangfan Liu, Yongkang Guo, Fangzhi Zhong, Tianyuan Zhang, Zonglei Jing, Siyuan Liang, Jiakai Wang, Mingchuan Zhang, Aishan Liu, Xianglong Liu
2026	A*	`conf`	CASE: Conflict-assessed Knowledge-sensitive Neuron Tuning for Lifelong Model Editing. WWW Zhange Zhang, Yuqing Ma, Yulong Wang, Tianbo Wang, Jiakai Wang, Simin Li, Xianglong Liu
2026	A*	`conf`	CMedBench: A Comprehensive Benchmark for Efficient Medical Large Language Models. AAAI Shengbo Gao, Jinyang Guo, Lixian Su, Yifu Ding, Shiqiao Gu, Aishan Liu, Yuqing Ma, Zhiwang Zhang, Xianglong Liu
2026	J	`jnl`	DynamicPAE: Generating Scene-Aware Physical Adversarial Examples in Real-Time. IEEE Trans. Pattern Anal. Mach. Intell. Jin Hu, Xianglong Liu, Jiakai Wang, Junkai Zhang, Xianqi Yang, Haotong Qin, Yuqing Ma, Ke Xu
2026	J	`jnl`	Evolving Deception: When Agents Evolve, Deception Wins. CoRR Zonghao Ying, Haowen Dai, Tianyuan Zhang, Yisong Xiao, Quanchen Zou, Aishan Liu, Jian Yang, Yaodong Yang, Xianglong Liu
2026	A*	`conf`	First-Order Error Matters: Accurate Compensation for Quantized Large Language Models. AAAI Xingyu Zheng, Haotong Qin, Yuye Li, Haoran Chu, Jiakai Wang, Jinyang Guo, Michele Magno, Xianglong Liu
2026	J	`jnl`	InCoder-32B: Code Foundation Model for Industrial Scenarios. CoRR Jian Yang, Wei Zhang, Jiajun Wu, Junhang Cheng, Shawn Guo, Haowen Wang, Weicheng Gu, Yaxin Du, Joseph Li, Fanglin Xu, Yizhi Li, Lin Jing, Yuanbo Wang, Yuhan Gao, Ruihao Gong, Chuan Hao, Ran Tao, Aishan Liu, Tuney Zheng, Ganqu Cui, Zhoujun Li, Mingjie Tang, Chenghua Lin, Wayne Xin Zhao, Xianglong Liu, Ming Zhou, Bryan Dai, Weifeng Lv
2026	J	`jnl`	KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization. CoRR Qitong Sun, Jun Han, Tianlin Li, Zhe Tang, Sheng Chen, Fei Yang, Aishan Liu, Xianglong Liu, Yang Liu
2026	J	`jnl`	Practical and Flexible Backdoor Attack Against Deep Learning Models via Shell Code Injection. IEEE Trans. Inf. Forensics Secur. Jiakai Wang, Hao Liu, Renshuai Tao, Jian Sun, Xianglong Liu, Yao Zhao
2026	J	`jnl`	QuEST: Quantization-Conditioned Efficient Stealthy Trojan. IEEE Trans. Inf. Forensics Secur. Liming Lu, Shuchao Pang, Jiakai Wang, Xiang Gu, Yunhuai Liu, Xianglong Liu, Yongbin Zhou
2026	A*	`conf`	Query-Routed Activation Editing with Truth-hierarchical Preference Optimization. AAAI Kewei Liao, Tianbo Wang, Yuqing Ma, Zhange Zhang, Zhicheng Geng, Xiaowei Zhao, Jiakai Wang, Xianglong Liu
2026	J	`jnl`	SafeBench: A Safety Evaluation Framework for Multimodal Large Language Models. Int. J. Comput. Vis. Zonghao Ying, Aishan Liu, Siyuan Liang, Lei Huang, Jinyang Guo, Wenbo Zhou, Xianglong Liu, Dacheng Tao
2026	J	`jnl`	Towards universal X-ray security inspection: a benchmark and stereoscopic-aware oriented prohibited item detection framework. Sci. China Inf. Sci. Tianbo Wang, Kewei Liao, Zhange Zhang, Yuqing Ma, Hongping Zhi, Aishan Liu, Ruihao Gong, Xianglong Liu
2026	J	`jnl`	Uncovering Security Threats and Architecting Defenses in Autonomous Agents: A Case Study of OpenClaw. CoRR Zonghao Ying, Xiao Yang, Siyang Wu, Yumeng Song, Yang Qu, Hainan Li, Tianlin Li, Jiakai Wang, Aishan Liu, Xianglong Liu
2026	J	`jnl`	Weak-Driven Learning: How Weak Agents make Strong Agents Stronger. CoRR Zehao Chen, Gongxun Li, Tianxiang Ai, Yifei Li, Zixuan Huang, Wang Zhou, Fuzhen Zhuang, Xianglong Liu, Jianxin Li, Deqing Wang, Yikun Ban
2025	J	`jnl`	A survey of low-bit large language models: Basics, systems, and algorithms. Neural Networks Ruihao Gong, Yifu Ding, Zining Wang, Chengtao Lv, Xingyu Zheng, Jinyang Du, Yang Yong, Shiqiao Gu, Haotong Qin, Jinyang Guo, Dahua Lin, Michele Magno, Xianglong Liu
2025	J	`jnl`	AGENTSAFE: Benchmarking the Safety of Embodied Agents on Hazardous Instructions. CoRR Aishan Liu, Zonghao Ying, Le Wang, Junjie Mu, Jinyang Guo, Jiakai Wang, Yuqing Ma, Siyuan Liang, Mingchuan Zhang, Xianglong Liu, Dacheng Tao
2025	J	`jnl`	Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles. CoRR Jiangfan Liu, Yongkang Guo, Fangzhi Zhong, Tianyuan Zhang, Zonglei Jing, Siyuan Liang, Jiakai Wang, Mingchuan Zhang, Aishan Liu, Xianglong Liu
2025	J	`jnl`	An Empirical Study of Qwen3 Quantization. CoRR Xingyu Zheng, Yuye Li, Haoran Chu, Yue Feng, Xudong Ma, Jie Luo, Jinyang Guo, Haotong Qin, Michele Magno, Xianglong Liu
2025	A*	`conf`	AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints. AAAI Zhiwei Dong, Mingzhu Shen, Shihao Bai, Xiuying Wei, Jinyang Guo, Ruihao Gong, Song-Lu Chen, Xianglong Liu, Xu-Cheng Yin
2025	J	`jnl`	Attacking cooperative multi-agent reinforcement learning by adversarial minority influence. Neural Networks Simin Li, Jun Guo, Jingqiao Xiu, Yuwei Zheng, Pu Feng, Xin Yu, Jiakai Wang, Aishan Liu, Yaodong Yang, Bo An, Wenjun Wu, Xianglong Liu
2025	A*	`conf`	BDefects4NN: A Backdoor Defect Database for Controlled Localization Studies in Neural Networks. ICSE Yisong Xiao, Aishan Liu, Xinwei Zhang, Tianyuan Zhang, Tianlin Li, Siyuan Liang, Xianglong Liu, Yang Liu, Dacheng Tao
2025	J	`jnl`	Bench2ADVLM: A Closed-Loop Benchmark for Vision-language Models in Autonomous Driving. CoRR Tianyuan Zhang, Ting Jin, Lu Wang, Jiangfan Liu, Siyuan Liang, Mingchuan Zhang, Aishan Liu, Xianglong Liu
2025	J	`jnl`	BiVM: Accurate Binarized Neural Network for Efficient Video Matting. CoRR Haotong Qin, Xianglong Liu, Xudong Ma, Lei Ke, Yulun Zhang, Jie Luo, Michele Magno
2025	J	`jnl`	BiVM: Accurate Binarized Neural Network for Efficient Video Matting. IEEE Trans. Pattern Anal. Mach. Intell. Haotong Qin, Xianglong Liu, Xudong Ma, Lei Ke, Yulun Zhang, Jie Luo, Michele Magno
2025	A*	`conf`	BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models. ICLR Xingyu Zheng, Xianglong Liu, Haotong Qin, Xudong Ma, Mingyuan Zhang, Haojie Hao, Jiakai Wang, Zixiang Zhao, Jinyang Guo, Michele Magno
2025	J	`jnl`	Black-Box Adversarial Attack on Vision Language Models for Autonomous Driving. CoRR Lu Wang, Tianyuan Zhang, Yang Qu, Siyuan Liang, Yuwei Chen, Aishan Liu, Xianglong Liu, Dacheng Tao
2025	J	`jnl`	Bullet-Screen-Emoji Attack With Temporal Difference Noise for Video Action Recognition. IEEE Trans. Circuits Syst. Video Technol. Yongkang Zhang, Han Zhang, Jun Li, Zhiping Shi, Jian Yang, Kaixin Yang, Shuo Yin, Qiuyan Liang, Xianglong Liu
2025	J	`jnl`	Can a Second-View Image Be a Language? Geometric and Semantic Cross-Modal Reasoning for X-ray Prohibited Item Detection. CoRR Chuang Peng, Renshuai Tao, Zhongwei Ren, Xianglong Liu, Yunchao Wei
2025	J	`jnl`	Causality-Inspired Debiasing Learning for Open World Object Detection. IEEE Trans. Multim. Xiaowei Zhao, Yuqing Ma, Chengtao Lv, Jiakai Wang, Xianglong Liu
2025	J	`jnl`	CodeChemist: Functional Knowledge Transfer for Low-Resource Code Generation via Test-Time Scaling. CoRR Kaixin Wang, Tianlin Li, Xiaoyu Zhang, Aishan Liu, Xianglong Liu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Bin Shi
2025	J	`jnl`	CodeSimpleQA: Scaling Factuality in Code Large Language Models. CoRR Jian Yang, Wei Zhang, Yizhi Li, Shawn Guo, Haowen Wang, Aishan Liu, Ge Zhang, Zili Wang, Zhoujun Li, Xianglong Liu, Weifeng Lv
2025	J	`jnl`	CogMorph: Cognitive Morphing Attacks for Text-to-Image Models. CoRR Zonglei Jing, Zonghao Ying, Le Wang, Siyuan Liang, Aishan Liu, Xianglong Liu, Dacheng Tao
2025	J	`jnl`	Compromising LLM Driven Embodied Agents With Contextual Backdoor Attacks. IEEE Trans. Inf. Forensics Secur. Aishan Liu, Yuguang Zhou, Xianglong Liu, Tianyuan Zhang, Siyuan Liang, Jiakai Wang, Yanjun Pu, Tianlin Li, Junqi Zhang, Wenbo Zhou, Qing Guo, Dacheng Tao
2025	J	`jnl`	Context as a Tool: Context Management for Long-Horizon SWE-Agents. CoRR Shukai Liu, Jian Yang, Bo Jiang, Yizhi Li, Jinyang Guo, Xianglong Liu, Bryan Dai
2025	J	`jnl`	ContextPRM: Leveraging Contextual Coherence for multi-domain Test-Time Scaling. CoRR Haotian Zhang, Liu Liu, Baosheng Yu, Jiayan Qiu, Likang Xiao, Yanwei Ren, Quan Chen, Xianglong Liu
2025	A*	`conf`	Continuous Diffusive Prediction Network for Multi-Station Weather Prediction. IJCAI Chujie Xu, Yuqing Ma, Haoyuan Deng, Yajun Gao, Yudie Wang, Kai Lv, Xianglong Liu
2025	A*	`conf`	DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models. ICML ChangYi He, Yifu Ding, Jinyang Guo, Ruihao Gong, Haotong Qin, Xianglong Liu
2025	J	`jnl`	Detoxifying Large Language Models via Autoregressive Reward Guided Representation Editing. CoRR Yisong Xiao, Aishan Liu, Siyuan Liang, Zonghao Ying, Xianglong Liu, Dacheng Tao
2025	J	`jnl`	Dual Dependency Disentangling for Defending Model Inversion Attacks in Split Federated Learning. IEEE Trans. Inf. Forensics Secur. Tong Chen, Jiakai Wang, Jiejie Zhao, Bowen Du, Haiquan Wang, Xiaoshan Bai, Zheng Lin, Xianglong Liu
2025	A*	`conf`	Dual Intention Escape: Penetrating and Toxic Jailbreak Attack against Large Language Models. WWW Yanni Xue, Jiakai Wang, Zixin Yin, Yuqing Ma, Haotong Qin, Renshuai Tao, Xianglong Liu
2025	A*	`conf`	Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans? CVPR Renshuai Tao, Haoyu Wang, Yuzhe Guo, Hairong Chen, Li Zhang, Xianglong Liu, Yunchao Wei, Yao Zhao
2025	—	`conf`	Dynamic Parallel Tree Search for Efficient LLM Reasoning. ACL (1) Yifu Ding, Wentao Jiang, Shunyu Liu, Yongcheng Jing, Jinyang Guo, Yingjie Wang, Jing Zhang, Zengmao Wang, Ziwei Liu, Bo Du, Xianglong Liu, Dacheng Tao
2025	J	`jnl`	Dynamic Parallel Tree Search for Efficient LLM Reasoning. CoRR Yifu Ding, Wentao Jiang, Shunyu Liu, Yongcheng Jing, Jinyang Guo, Yingjie Wang, Jing Zhang, Zengmao Wang, Ziwei Liu, Bo Du, Xianglong Liu, Dacheng Tao
2025	—	`conf`	ECLR'25: 2nd Workshop on Efficient Computing Under Limited Resources: Visual Computing. ICCVW Jinyang Guo, Zhenghao Chen, Yuqing Ma, Yifu Ding, Xianglong Liu, Jinman Kim, Wanli Ouyang, Dacheng Tao
2025	J	`jnl`	Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning. CoRR Simin Li, Zihao Mao, Hanxiao Li, Zonglei Jing, Zhuohang Bian, Jun Guo, Li Wang, Zhuoran Han, Ruixiao Xu, Xin Yu, Chengdong Ma, Yuqing Ma, Bo An, Yaodong Yang, Weifeng Lv, Xianglong Liu
2025	J	`jnl`	Exploring Semantic-constrained Adversarial Example with Instruction Uncertainty Reduction. CoRR Jin Hu, Jiakai Wang, Linna Jing, Haolin Li, Haodong Liu, Haotong Qin, Aishan Liu, Ke Xu, Xianglong Liu
2025	J	`jnl`	Fairness Mediator: Neutralize Stereotype Associations to Mitigate Bias in Large Language Models. CoRR Yisong Xiao, Aishan Liu, Siyuan Liang, Xianglong Liu, Dacheng Tao
2025	J	`jnl`	Fairness Mediator: Neutralize Stereotype Associations to Mitigate Bias in Large Language Models. Proc. ACM Softw. Eng. Yisong Xiao, Aishan Liu, Siyuan Liang, Xianglong Liu, Dacheng Tao
2025	J	`jnl`	First-Order Error Matters: Accurate Compensation for Quantized Large Language Models. CoRR Xingyu Zheng, Haotong Qin, Yuye Li, Jiakai Wang, Jinyang Guo, Michele Magno, Xianglong Liu
2025	J	`jnl`	From Code Foundation Models to Agents and Applications: A Comprehensive Survey and Practical Guide to Code Intelligence. CoRR Jian Yang, Xianglong Liu, Weifeng Lv, Ken Deng, Shawn Guo, Lin Jing, Yizhi Li, Shark Liu, Xianzhen Luo, Yuyu Luo, Changzai Pan, Ensheng Shi, Yingshui Tan, Renshuai Tao, Jiajun Wu, Xianjie Wu, Zhenhe Wu, Daoguang Zan, Chenchen Zhang, Wei Zhang, He Zhu, Terry Yue Zhuo, Kerui Cao, Xianfu Cheng, Jun Dong, Shengjie Fang, Zhiwei Fei, Xiangyuan Guan, Qipeng Guo, Zhiguang Han, Joseph James, Tianqi Luo, Renyuan Li, Yuhang Li, Yiming Liang, Congnan Liu, Jiaheng Liu, Qian Liu, Ruitong Liu, Tyler Loakman, Xiangxin Meng, Chuang Peng, Tianhao Peng, Jiajun Shi, Mingjie Tang, Boyang Wang, Haowen Wang, Yunli Wang, Fanglin Xu, Zihan Xu, Fei Yuan, Ge Zhang, Jiayi Zhang, Xinhao Zhang, Wangchunshu Zhou, Hualei Zhu, King Zhu, Bryan Dai, Aishan Liu, Zhoujun Li, Chenghua Lin, Tianyu Liu, Chao Peng, Kai Shen, Libo Qin, Shuangyong Song, Zizheng Zhan, Jiajun Zhang, Jie Zhang, Zhaoxiang Zhang, Bo Zheng
2025	J	`jnl`	GenderBias-VL: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing. Int. J. Comput. Vis. Yisong Xiao, Xianglong Liu, Qianjia Cheng, Zhenfei Yin, Siyuan Liang, Jiapeng Li, Jing Shao, Aishan Liu, Dacheng Tao
2025	Misc	`conf`	Generating Targeted Universal Adversarial Perturbation against Automatic Speech Recognition via Phoneme Tailoring. ICASSP Yujun Zhang, Yanqu Chen, Jiakai Wang, Jin Hu, Renshuai Tao, Xianglong Liu
2025	J	`jnl`	Gradient-based Fine-Tuning through Pre-trained Model Regularization. CoRR Xuanbo Liu, Liu Liu, Fuxiang Wu, Fusheng Hao, Xianglong Liu
2025	J	`jnl`	Hard-Sample Style Guided Patch Attack With RL-Enhanced Motion Pattern for Video Recognition. IEEE Trans. Multim. Jian Yang, Jun Li, Yunong Cai, Guoming Wu, Zhi-Ping Shi, Chaodong Tan, Xianglong Liu
2025	A*	`conf`	HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration. ICML Yushi Huang, Zining Wang, Ruihao Gong, Jing Liu, Xinjie Zhang, Jinyang Guo, Xianglong Liu, Jun Zhang
2025	A*	`conf`	Harnessing Global-Local Collaborative Adversarial Perturbation for Anti-Customization. CVPR Long Xu, Jiakai Wang, Haojie Hao, Haotong Qin, Jiejie Zhao, Xianglong Liu
2025	J	`jnl`	Inversed Pyramid Network with Spatial-adapted and Task-oriented Tuning for few-shot learning. Pattern Recognit. Xiaowei Zhao, Duorui Wang, Shihao Bai, Shuo Wang, Yajun Gao, Yu Liang, Yuqing Ma, Xianglong Liu
2025	J	`jnl`	Investigating Training Data Detection in AI Coders. CoRR Tianlin Li, Yunxiang Wei, Zhiming Li, Aishan Liu, Qing Guo, Xianglong Liu, Dongning Sun, Yang Liu
2025	J	`jnl`	Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt. IEEE Trans. Inf. Forensics Secur. Zonghao Ying, Aishan Liu, Tianyuan Zhang, Zhengmin Yu, Siyuan Liang, Xianglong Liu, Dacheng Tao
2025	J	`jnl`	LARGO: Low-Rank Regulated Gradient Projection for Robust Parameter Efficient Fine-Tuning. CoRR Haotian Zhang, Liu Liu, Baosheng Yu, Jiayan Qiu, Yanwei Ren, Xianglong Liu
2025	—	`conf`	Lexical Diversity-aware Relevance Assessment for Retrieval-Augmented Generation. ACL (1) Zhange Zhang, Yuqing Ma, Yulong Wang, Shan He, Tianbo Wang, Siqi He, Jiakai Wang, Xianglong Liu
2025	J	`jnl`	Low-bit Model Quantization for Deep Neural Networks: A Survey. CoRR Kai Liu, Qian Zheng, Kaiwen Tao, Zhiteng Li, Haotong Qin, Wenbo Li, Yong Guo, Xianglong Liu, Linghe Kong, Guihai Chen, Yulun Zhang, Xiaokang Yang
2025	J	`jnl`	M2G-Eval: Enhancing and Evaluating Multi-granularity Multilingual Code Generation. CoRR Fanglin Xu, Wei Zhang, Jian Yang, Guo Chen, Aishan Liu, Zhoujun Li, Xianglong Liu, Bryan Dai
2025	A*	`conf`	Manipulating Multimodal Agents via Cross-Modal Prompt Injection. ACM Multimedia Le Wang, Zonghao Ying, Tianyuan Zhang, Siyuan Liang, Shengshan Hu, Mingchuan Zhang, Aishan Liu, Xianglong Liu
2025	J	`jnl`	Manipulating Multimodal Agents via Cross-Modal Prompt Injection. CoRR Le Wang, Zonghao Ying, Tianyuan Zhang, Siyuan Liang, Shengshan Hu, Mingchuan Zhang, Aishan Liu, Xianglong Liu
2025	A*	`conf`	MetAdv: A Unified and Interactive Adversarial Testing Platform for Autonomous Driving. ACM Multimedia Aishan Liu, Jiakai Wang, Tianyuan Zhang, Hainan Li, Jiangfan Liu, Siyuan Liang, Yilong Ren, Xianglong Liu, Dacheng Tao
2025	J	`jnl`	MetAdv: A Unified and Interactive Adversarial Testing Platform for Autonomous Driving. CoRR Aishan Liu, Jiakai Wang, Tianyuan Zhang, Hainan Li, Jiangfan Liu, Siyuan Liang, Yilong Ren, Xianglong Liu, Dacheng Tao
2025	J	`jnl`	MoDES: Accelerating Mixture-of-Experts Multimodal Large Language Models via Dynamic Expert Skipping. CoRR Yushi Huang, Zining Wang, Zhihang Yuan, Yifu Ding, Ruihao Gong, Jinyang Guo, Xianglong Liu, Jun Zhang
2025	J	`jnl`	On Robustness of Vision-Language-Action Model against Multi-Modal Perturbations. CoRR Jianing Guo, Zhenhong Wu, Chang Tu, Yiyao Ma, Xiangqi Kong, Zhiqian Liu, Jiaming Ji, Shuning Zhang, Yuanpei Chen, Kai Chen, Qi Dou, Yaodong Yang, Xianglong Liu, Huijie Zhao, Weifeng Lv, Simin Li
2025	—	`conf`	Past-Future Scheduler for LLM Serving under SLA Guarantees. ASPLOS (2) Ruihao Gong, Shihao Bai, Siyu Wu, Yunqian Fan, Zaijun Wang, Xiuhong Li, Hailong Yang, Xianglong Liu
2025	J	`jnl`	Past-Future Scheduler for LLM Serving under SLA Guarantees. CoRR Ruihao Gong, Shihao Bai, Siyu Wu, Yunqian Fan, Zaijun Wang, Xiuhong Li, Hailong Yang, Xianglong Liu
2025	J	`jnl`	Pre-trained Trojan Attacks for Visual Recognition. Int. J. Comput. Vis. Aishan Liu, Xianglong Liu, Xinwei Zhang, Yisong Xiao, Yuguang Zhou, Siyuan Liang, Jiakai Wang, Xiaochun Cao, Dacheng Tao
2025	J	`jnl`	PromptSafe: Gated Prompt Tuning for Safe Text-to-Image Generation. CoRR Zonglei Jing, Xiao Yang, Xiaoqian Li, Siyuan Liang, Aishan Liu, Mingchuan Zhang, Xianglong Liu
2025	J	`jnl`	Pushing the Limit of Post-Training Quantization. IEEE Trans. Pattern Anal. Mach. Intell. Ruihao Gong, Xianglong Liu, Yuhang Li, Yunqian Fan, Xiuying Wei, Jinyang Guo
2025	J	`jnl`	Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025. CoRR Zonghao Ying, Siyang Wu, Run Hao, Peng Ying, Shixuan Sun, Pengyu Chen, Junze Chen, Hao Du, Kaiwen Shen, Shangkun Wu, Jiwei Wei, Shiyuan He, Yang Yang, Xiaohai Xu, Ke Ma, Qianqian Xu, Qingming Huang, Shi Lin, Xun Wang, Changting Lin, Meng Han, Yilei Jiang, Siqi Lai, Yaozhi Zheng, Yifei Song, Xiangyu Yue, Zonglei Jing, Tianyuan Zhang, Zhilei Zhu, Aishan Liu, Jiakai Wang, Siyuan Liang, Xianglong Kong, Hainan Li, Junjie Mu, Haotong Qin, Yue Yu, Lei Chen, Felix Juefei-Xu, Qing Guo, Xinyun Chen, Yew Soon Ong, Xianglong Liu, Dawn Song, Alan L. Yuille, Philip Torr, Dacheng Tao
2025	—	`conf`	Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models. EMNLP (Findings) Zonghao Ying, Deyue Zhang, Zonglei Jing, Yisong Xiao, Quanchen Zou, Aishan Liu, Siyuan Liang, Xiangzheng Zhang, Xianglong Liu, Dacheng Tao
2025	J	`jnl`	Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models. CoRR Zonghao Ying, Deyue Zhang, Zonglei Jing, Yisong Xiao, Quanchen Zou, Aishan Liu, Siyuan Liang, Xiangzheng Zhang, Xianglong Liu, Dacheng Tao
2025	J	`jnl`	RoboSafe: Safeguarding Embodied Agents via Executable Safety Logic. CoRR Le Wang, Zonghao Ying, Xiao Yang, Quanchen Zou, Zhenfei Yin, Tianlin Li, Jian Yang, Yaodong Yang, Aishan Liu, Xianglong Liu
2025	J	`jnl`	Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization. IEEE Trans. Neural Networks Learn. Syst. Simin Li, Ruixiao Xu, Jingqiao Xiu, Yuwei Zheng, Pu Feng, Yuqing Ma, Bo An, Yaodong Yang, Xianglong Liu
2025	J	`jnl`	SLMQuant:Benchmarking Small Language Model Quantization for Practical Deployment. CoRR Jiacheng Wang, Yejun Zeng, Jinyang Guo, Yuqing Ma, Aishan Liu, Xianglong Liu
2025	J	`jnl`	SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning. CoRR Hui Xie, Yuhe Liu, Shaoqi Yang, Jinyang Guo, Yufei Guo, Yuqing Ma, Jiaxin Chen, Jiaheng Liu, Xianglong Liu
2025	J	`jnl`	Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving. CoRR Jingzheng Li, Tiancheng Wang, Xingyu Peng, Jiacheng Chen, Zhijun Chen, Bing Li, Xianglong Liu
2025	J	`jnl`	Scaling Laws for Code: Every Programming Language Matters. CoRR Jian Yang, Shawn Guo, Lin Jing, Wei Zhang, Aishan Liu, Chuan Hao, Zhoujun Li, Wayne Xin Zhao, Xianglong Liu, Weifeng Lv, Bryan Dai
2025	J	`jnl`	SecureWebArena: A Holistic Security Evaluation Benchmark for LVLM-based Web Agents. CoRR Zonghao Ying, Yangguang Shao, Jianle Gan, Gan Xu, Junjie Shen, Wenxin Zhang, Quanchen Zou, Junzheng Shi, Zhenfei Yin, Mingchuan Zhang, Aishan Liu, Xianglong Liu
2025	A*	`conf`	SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models. ICML Wei Huang, Haotong Qin, Yangdong Liu, Yawei Li, Qinshuo Liu, Xianglong Liu, Luca Benini, Michele Magno, Shiming Zhang, Xiaojuan Qi
2025	J	`jnl`	Temporal Feature Matters: A Framework for Diffusion Model Quantization. IEEE Trans. Pattern Anal. Mach. Intell. Yushi Huang, Ruihao Gong, Xianglong Liu, Jing Liu, Yuhang Li, Jiwen Lu, Dacheng Tao
2025	A*	`conf`	Token-Aware Editing of Internal Activations for Large Language Model Alignment. EMNLP Tianbo Wang, Yuqing Ma, Kewei Liao, Chengzhao Yang, Zhange Zhang, Jiakai Wang, Xianglong Liu
2025	J	`jnl`	Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios. CoRR Jingzheng Li, Xianglong Liu, Shikui Wei, Zhijun Chen, Bing Li, Qing Guo, Xianqi Yang, Yanjun Pu, Jiakai Wang
2025	J	`jnl`	Towards Understanding the Safety Boundaries of DeepSeek Models: Evaluation and Findings. CoRR Zonghao Ying, Guangyi Zheng, Yongxin Huang, Deyue Zhang, Wenxin Zhang, Quanchen Zou, Aishan Liu, Xianglong Liu, Dacheng Tao
2025	J	`jnl`	UCoder: Unsupervised Code Generation by Internal Probing of Large Language Models. CoRR Jiajun Wu, Jian Yang, Wei Zhang, Lin Jing, Yuqing Ma, Ensheng Shi, Yuchi Ma, Zhoujun Li, Xianglong Liu
2025	J	`jnl`	Uncovering Strategic Egoism Behaviors in Large Language Models. CoRR Yaoyuan Zhang, Aishan Liu, Zonghao Ying, Xianglong Liu, Jiangfan Liu, Yisong Xiao, Qihang Zhang
2025	J	`jnl`	VEIL: Jailbreaking Text-to-Video Models via Visual Exploitation from Implicit Language. CoRR Zonghao Ying, Moyang Chen, Nizhang Li, Zhiqiang Wang, Wenxin Zhang, Quanchen Zou, Zonglei Jing, Aishan Liu, Xianglong Liu
2025	J	`jnl`	Video Motion Blur Attack via Grad-Weighted and Discrete-Fusion Based Perturbation Generation. IEEE Trans. Multim. Guoming Wu, Jun Li, Yangfan Xu, Zhi-Ping Shi, Xianglong Liu
2025	J	`jnl`	Vulnerable Agent Identification in Large-Scale Multi-Agent Reinforcement Learning. CoRR Simin Li, Yuwei Zheng, Zihao Mao, Linhao Wang, Ruixiao Xu, Chengdong Ma, Xin Yu, Yuqing Ma, Qi Dou, Xin Wang, Jie Luo, Bo An, Yaodong Yang, Weifeng Lv, Xianglong Liu
2024	J	`jnl`	2023 Low-Power Computer Vision Challenge (LPCVC) Summary. CoRR Leo Chen, Benjamin Boardley, Ping Hu, Yiru Wang, Yifan Pu, Xin Jin, Yongqiang Yao, Ruihao Gong, Bo Li, Gao Huang, Xianglong Liu, Zifu Wan, Xinwang Chen, Ning Liu, Ziyi Zhang, Dongping Liu, Ruijie Shan, Zhengping Che, Fachao Zhang, Xiaofeng Mou, Jian Tang, Maxim Chuprov, Ivan Malofeev, Alexander Goncharenko, Andrey Shcherbin, Arseny Yanchenko, Sergey Alyamkin, Xiao Hu, George K. Thiruvathukal, Yung-Hsiang Lu
2024	—	`conf`	A Comprehensive Evaluation Framework for Multi-Agent Reinforcement Learning. DAI Zonglei Jing, Xiaojun Chang, Mingxuan Zhu, Simin Li, Aishan Liu, Xiaoqian Li, Xianglong Liu
2024	J	`jnl`	A Survey of Low-bit Large Language Models: Basics, Systems, and Algorithms. CoRR Ruihao Gong, Yifu Ding, Zining Wang, Chengtao Lv, Xingyu Zheng, Jinyang Du, Haotong Qin, Jinyang Guo, Michele Magno, Xianglong Liu
2024	A*	`conf`	Accurate LoRA-Finetuning Quantization of LLMs via Information Retention. ICML Haotong Qin, Xudong Ma, Xingyu Zheng, Xiaoyang Li, Yang Zhang, Shouda Liu, Jie Luo, Xianglong Liu, Michele Magno
2024	J	`jnl`	Accurate LoRA-Finetuning Quantization of LLMs via Information Retention. CoRR Haotong Qin, Xudong Ma, Xingyu Zheng, Xiaoyang Li, Yang Zhang, Shouda Liu, Jie Luo, Xianglong Liu, Michele Magno
2024	J	`jnl`	Adversarial Examples Against WiFi Fingerprint-Based Localization in the Physical World. IEEE Trans. Inf. Forensics Secur. Jiakai Wang, Ye Tao, Yichi Zhang, Wanting Liu, Yusheng Kong, Shaolin Tan, Rongen Yan, Xianglong Liu
2024	J	`jnl`	An empirical study of LLaMA3 quantization: from LLMs to MLLMs. Vis. Intell. Wei Huang, Xingyu Zheng, Xudong Ma, Haotong Qin, Chengtao Lv, Hong Chen, Jie Luo, Xiaojuan Qi, Xianglong Liu, Michele Magno
2024	J	`jnl`	BDefects4NN: A Backdoor Defect Database for Controlled Localization Studies in Neural Networks. CoRR Yisong Xiao, Aishan Liu, Xinwei Zhang, Tianyuan Zhang, Tianlin Li, Siyuan Liang, Xianglong Liu, Yang Liu, Dacheng Tao
2024	J	`jnl`	Behavior Backdoor for Deep Learning Models. CoRR Jiakai Wang, Pengfei Zhang, Renshuai Tao, Jian Yang, Hao Liu, Xianglong Liu, Yunchao Wei, Yao Zhao
2024	A*	`conf`	BiDM: Pushing the Limit of Quantization for Diffusion Models. NeurIPS Xingyu Zheng, Xianglong Liu, Yichen Bian, Xudong Ma, Yulun Zhang, Jiakai Wang, Jinyang Guo, Haotong Qin
2024	J	`jnl`	BiDM: Pushing the Limit of Quantization for Diffusion Models. CoRR Xingyu Zheng, Xianglong Liu, Yichen Bian, Xudong Ma, Yulun Zhang, Jiakai Wang, Jinyang Guo, Haotong Qin
2024	J	`jnl`	BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance. IEEE Trans. Neural Networks Learn. Syst. Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Zejun Ma, Jiakai Wang, Jie Luo, Xianglong Liu
2024	A*	`conf`	BiLLM: Pushing the Limit of Post-Training Quantization for LLMs. ICML Wei Huang, Yangdong Liu, Haotong Qin, Ying Li, Shiming Zhang, Xianglong Liu, Michele Magno, Xiaojuan Qi
2024	J	`jnl`	BiLLM: Pushing the Limit of Post-Training Quantization for LLMs. CoRR Wei Huang, Yangdong Liu, Haotong Qin, Ying Li, Shiming Zhang, Xianglong Liu, Michele Magno, Xiaojuan Qi
2024	J	`jnl`	BinaryDM: Towards Accurate Binarization of Diffusion Model. CoRR Xingyu Zheng, Haotong Qin, Xudong Ma, Mingyuan Zhang, Haojie Hao, Jiakai Wang, Zixiang Zhao, Jinyang Guo, Xianglong Liu
2024	A*	`conf`	Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game. ICLR Simin Li, Jun Guo, Jingqiao Xiu, Ruixiao Xu, Xin Yu, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu
2024	A*	`conf`	Compressing Large Language Models by Joint Sparsification and Quantization. ICML Jinyang Guo, Jianyu Wu, Zining Wang, Jiaheng Liu, Ge Yang, Yifu Ding, Ruihao Gong, Haotong Qin, Xianglong Liu
2024	J	`jnl`	Compromising Embodied Agents with Contextual Backdoor Attacks. CoRR Aishan Liu, Yuguang Zhou, Xianglong Liu, Tianyuan Zhang, Siyuan Liang, Jiakai Wang, Yanjun Pu, Tianlin Li, Junqi Zhang, Wenbo Zhou, Qing Guo, Dacheng Tao
2024	—	`conf`	DB-LLM: Accurate Dual-Binarization for Efficient LLMs. ACL (Findings) Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao
2024	J	`jnl`	DB-LLM: Accurate Dual-Binarization for Efficient LLMs. CoRR Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao
2024	J	`jnl`	Diffusion Patch Attack With Spatial-Temporal Cross-Evolution for Video Recognition. IEEE Trans. Circuits Syst. Video Technol. Jian Yang, Zhiyu Guan, Jun Li, Zhi-Ping Shi, Xianglong Liu
2024	J	`jnl`	Dual-view X-ray Detection: Can AI Detect Prohibited Items from Dual-view X-ray Images like Humans? CoRR Renshuai Tao, Haoyu Wang, Yuzhe Guo, Hairong Chen, Li Zhang, Xianglong Liu, Yunchao Wei, Yao Zhao
2024	J	`jnl`	DynamicPAE: Generating Scene-Aware Physical Adversarial Examples in Real-Time. CoRR Jin Hu, Xianglong Liu, Jiakai Wang, Junkai Zhang, Xianqi Yang, Haotong Qin, Yuqing Ma, Ke Xu
2024	A*	`conf`	Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes. AAAI Ruihao Gong, Yang Yong, Zining Wang, Jinyang Guo, Xiuying Wei, Yuqing Ma, Xianglong Liu
2024	J	`jnl`	Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes. CoRR Ruihao Gong, Yang Yong, Zining Wang, Jinyang Guo, Xiuying Wei, Yuqing Ma, Xianglong Liu
2024	A*	`conf`	Flexible Residual Binarization for Image Super-Resolution. ICML Yulun Zhang, Haotong Qin, Zixiang Zhao, Xianglong Liu, Martin Danelljan, Fisher Yu
2024	J	`jnl`	GenderBias-VL: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing. CoRR Yisong Xiao, Aishan Liu, Qianjia Cheng, Zhenfei Yin, Siyuan Liang, Jiapeng Li, Jing Shao, Xianglong Liu, Dacheng Tao
2024	J	`jnl`	Generate Transferable Adversarial Physical Camouflages via Triplet Attention Suppression. Int. J. Comput. Vis. Jiakai Wang, Xianglong Liu, Zixin Yin, Yuxuan Wang, Jun Guo, Haotong Qin, Qingtao Wu, Aishan Liu
2024	J	`jnl`	Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection. IEEE Trans. Image Process. Simin Li, Huangxinxin Xu, Jiakai Wang, Ruixiao Xu, Aishan Liu, Fazhi He, Xianglong Liu, Dacheng Tao
2024	J	`jnl`	How Good Are Low-bit Quantized LLaMA3 Models? An Empirical Study. CoRR Wei Huang, Xudong Ma, Haotong Qin, Xingyu Zheng, Chengtao Lv, Hong Chen, Jie Luo, Xiaojuan Qi, Xianglong Liu, Michele Magno
2024	J	`jnl`	Improving Deepfake Detection Generalization by Invariant Risk Minimization. IEEE Trans. Multim. Zixin Yin, Jiakai Wang, Yisong Xiao, Hanqing Zhao, Tianlin Li, Wenbo Zhou, Aishan Liu, Xianglong Liu
2024	J	`jnl`	Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt. CoRR Zonghao Ying, Aishan Liu, Tianyuan Zhang, Zhengmin Yu, Siyuan Liang, Xianglong Liu, Dacheng Tao
2024	J	`jnl`	LLM-QBench: A Benchmark Towards the Best Practice for Post-training Quantization of Large Language Models. CoRR Ruihao Gong, Yang Yong, Shiqiao Gu, Yushi Huang, Yunchen Zhang, Xianglong Liu, Dacheng Tao
2024	—	`conf`	LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit. EMNLP (Industry Track) Ruihao Gong, Yang Yong, Shiqiao Gu, Yushi Huang, Chengtao Lv, Yunchen Zhang, Dacheng Tao, Xianglong Liu
2024	A*	`conf`	LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment. NeurIPS Ge Yang, ChangYi He, Jinyang Guo, Jianyu Wu, Yifu Ding, Aishan Liu, Haotong Qin, Pengliang Ji, Xianglong Liu
2024	J	`jnl`	LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment. CoRR Ge Yang, ChangYi He, Jinyang Guo, Jianyu Wu, Yifu Ding, Aishan Liu, Haotong Qin, Pengliang Ji, Xianglong Liu
2024	A*	`conf`	LTA-PCS: Learnable Task-Agnostic Point Cloud Sampling. CVPR Jiaheng Liu, Jianhao Li, Kaisiyuan Wang, Hongcheng Guo, Jian Yang, Junran Peng, Ke Xu, Xianglong Liu, Jinyang Guo
2024	J	`jnl`	LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions. CoRR Tianyuan Zhang, Lu Wang, Hainan Li, Yisong Xiao, Siyuan Liang, Aishan Liu, Xianglong Liu, Dacheng Tao
2024	J	`jnl`	Module-wise Adaptive Adversarial Training for End-to-end Autonomous Driving. CoRR Tianyuan Zhang, Lu Wang, Jiaqi Kang, Xinwei Zhang, Siyuan Liang, Yuwei Chen, Aishan Liu, Xianglong Liu
2024	A*	`conf`	NAPGuard: Towards Detecting Naturalistic Adversarial Patches. CVPR Siyang Wu, Jiakai Wang, Jiejie Zhao, Yazhe Wang, Xianglong Liu
2024	A*	`conf`	PTQ4SAM: Post-Training Quantization for Segment Anything. CVPR Chengtao Lv, Hong Chen, Jinyang Guo, Yifu Ding, Xianglong Liu
2024	J	`jnl`	PTQ4SAM: Post-Training Quantization for Segment Anything. CoRR Chengtao Lv, Hong Chen, Jinyang Guo, Yifu Ding, Xianglong Liu
2024	A*	`conf`	PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models. ACM Multimedia Zining Wang, Jinyang Guo, Ruihao Gong, Yang Yong, Aishan Liu, Yushi Huang, Jiaheng Liu, Xianglong Liu
2024	J	`jnl`	PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models. CoRR Zining Wang, Jinyang Guo, Ruihao Gong, Yang Yong, Aishan Liu, Yushi Huang, Jiaheng Liu, Xianglong Liu
2024	A*	`conf`	QVD: Post-training Quantization for Video Diffusion Models. ACM Multimedia Shilong Tian, Hong Chen, Chengtao Lv, Yu Liu, Jinyang Guo, Xianglong Liu, Shengxi Li, Hao Yang, Tao Xie
2024	J	`jnl`	QVD: Post-training Quantization for Video Diffusion Models. CoRR Shilong Tian, Hong Chen, Chengtao Lv, Yu Liu, Jinyang Guo, Xianglong Liu, Shengxi Li, Hao Yang, Tao Xie
2024	J	`jnl`	Red Pill and Blue Pill: Controllable Website Fingerprinting Defense via Dynamic Backdoor Learning. CoRR Siyuan Liang, Jiajun Gong, Tianmeng Fang, Aishan Liu, Tao Wang, Xianglong Liu, Xiaochun Cao, Dacheng Tao, Ee-Chien Chang
2024	A*	`conf`	Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector. CVPR Yifu Ding, Weilun Feng, Chuyan Chen, Jinyang Guo, Xianglong Liu
2024	J	`jnl`	Revisiting Open World Object Detection. IEEE Trans. Circuits Syst. Video Technol. Xiaowei Zhao, Yuqing Ma, Duorui Wang, Yifan Shen, Yixuan Qiao, Xianglong Liu
2024	J	`jnl`	SafeBench: A Safety Evaluation Framework for Multimodal Large Language Models. CoRR Zonghao Ying, Aishan Liu, Siyuan Liang, Lei Huang, Jinyang Guo, Wenbo Zhou, Xianglong Liu, Dacheng Tao
2024	A*	`conf`	Scene-adaptive and Region-aware Multi-modal Prompt for Open Vocabulary Object Detection. CVPR Xiaowei Zhao, Xianglong Liu, Duorui Wang, Yajun Gao, Zhide Liu
2024	J	`jnl`	SeeMore: a spatiotemporal predictive model with bidirectional distillation and level-specific meta-adaptation. Sci. China Inf. Sci. Yuqing Ma, Wei Liu, Yajun Gao, Yang Yuan, Shihao Bai, Haotong Qin, Xianglong Liu
2024	A*	`conf`	Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection. AAAI Yunqian Fan, Xiuying Wei, Ruihao Gong, Yuqing Ma, Xiangguo Zhang, Qi Zhang, Xianglong Liu
2024	J	`jnl`	Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection. CoRR Yunqian Fan, Xiuying Wei, Ruihao Gong, Yuqing Ma, Xiangguo Zhang, Qi Zhang, Xianglong Liu
2024	J	`jnl`	SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models. CoRR Wei Huang, Haotong Qin, Yangdong Liu, Yawei Li, Xianglong Liu, Luca Benini, Michele Magno, Xiaojuan Qi
2024	A*	`conf`	TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models. CVPR Yushi Huang, Ruihao Gong, Jing Liu, Tianlong Chen, Xianglong Liu
2024	J	`jnl`	Temporal Feature Matters: A Framework for Diffusion Model Quantization. CoRR Yushi Huang, Ruihao Gong, Xianglong Liu, Jing Liu, Yuhang Li, Jiwen Lu, Dacheng Tao
2024	J	`jnl`	Towards Defending Multiple ℓ Int. J. Comput. Vis. Aishan Liu, Shiyu Tang, Xinyun Chen, Lei Huang, Haotong Qin, Xianglong Liu, Dacheng Tao
2024	A*	`conf`	Towards Robust Physical-world Backdoor Attacks on Lane Detection. ACM Multimedia Xinwei Zhang, Aishan Liu, Tianyuan Zhang, Siyuan Liang, Xianglong Liu
2024	J	`jnl`	Towards Robust Physical-world Backdoor Attacks on Lane Detection. CoRR Xinwei Zhang, Aishan Liu, Tianyuan Zhang, Siyuan Liang, Xianglong Liu
2024	A*	`conf`	Transferable Multimodal Attack on Vision-Language Pre-training Models. SP Haodi Wang, Kai Dong, Zhilei Zhu, Haotong Qin, Aishan Liu, Xiaolin Fang, Jiakai Wang, Xianglong Liu
2024	J	`jnl`	Unveiling the Safety of GPT-4o: An Empirical Study using Jailbreak Attacks. CoRR Zonghao Ying, Aishan Liu, Xianglong Liu, Dacheng Tao
2024	A*	`conf`	Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation. IJCAI Yanni Xue, Haojie Hao, Jiakai Wang, Qiang Sheng, Renshuai Tao, Yu Liang, Pu Feng, Xianglong Liu
2024	J	`jnl`	Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation. CoRR Yanni Xue, Haojie Hao, Jiakai Wang, Qiang Sheng, Renshuai Tao, Yu Liang, Pu Feng, Xianglong Liu
2024	J	`jnl`	Visual Adversarial Attack on Vision-Language Models for Autonomous Driving. CoRR Tianyuan Zhang, Lu Wang, Xinwei Zhang, Yitong Zhang, Boyi Jia, Siyuan Liang, Shengshan Hu, Qiang Fu, Aishan Liu, Xianglong Liu
2023	J	`jnl`	A comprehensive evaluation framework for deep model robustness. Pattern Recognit. Jun Guo, Wei Bao, Jiakai Wang, Yuqing Ma, Xinghai Gao, Gang Xiao, Aishan Liu, Jian Dong, Xianglong Liu, Wenjun Wu
2023	J	`jnl`	A meaningful learning method for zero-shot semantic segmentation. Sci. China Inf. Sci. Xianglong Liu, Shihao Bai, Shan An, Shuo Wang, Wei Liu, Xiaowei Zhao, Yuqing Ma
2023	J	`jnl`	ARCosmetics: a real-time augmented reality cosmetics try-on system. Frontiers Comput. Sci. Shan An, Jianye Chen, Zhaoqi Zhu, Fangru Zhou, Yuxing Yang, Yuqing Ma, Xianglong Liu, Haogang Zhu
2023	—	`conf`	Adaptive Contrastive Knowledge Distillation for BERT Compression. ACL (Findings) Jinyang Guo, Jiaheng Liu, Zining Wang, Yuqing Ma, Ruihao Gong, Ke Xu, Xianglong Liu
2023	J	`jnl`	Adversarial Examples in the Physical World: A Survey. CoRR Jiakai Wang, Donghua Wang, Jin Hu, Siyang Wu, Tingsong Jiang, Wen Yao, Aishan Liu, Xianglong Liu
2023	C	`conf`	An innovative experimental teaching method of hardware-software co-design-Taking a hardware accelerator of neural network using FPGA. FIE Ying Li, Jingzhuo Liang, Gui Shi Jie, Yangdong Liu, Wei Huang, Yue Yan, Xianglong Liu
2023	A*	`conf`	Annealing-based Label-Transfer Learning for Open World Object Detection. CVPR Yuqing Ma, Hainan Li, Zhange Zhang, Jinyang Guo, Shanghang Zhang, Ruihao Gong, Xianglong Liu
2023	J	`jnl`	Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence. CoRR Simin Li, Jun Guo, Jingqiao Xiu, Pu Feng, Xin Yu, Jiakai Wang, Aishan Liu, Wenjun Wu, Xianglong Liu
2023	A*	`conf`	BiBench: Benchmarking and Analyzing Network Binarization. ICML Haotong Qin, Mingyuan Zhang, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu
2023	J	`jnl`	BiBench: Benchmarking and Analyzing Network Binarization. CoRR Haotong Qin, Mingyuan Zhang, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu
2023	A*	`conf`	BiMatting: Efficient Video Matting via Binarization. NeurIPS Haotong Qin, Lei Ke, Xudong Ma, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Xianglong Liu, Fisher Yu
2023	J	`jnl`	Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game. CoRR Simin Li, Jun Guo, Jingqiao Xiu, Xini Yu, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu
2023	—	`conf`	CDMNet: Contrastive Distribution Mapped Network for Infrared Small Target Detection. UAVM Chengtao Lv, Jinyang Guo, Jiaqi Yu, Ruiyan Zhang, Xianglong Liu
2023	J	`jnl`	Distribution-Sensitive Information Retention for Accurate Binary Neural Network. Int. J. Comput. Vis. Haotong Qin, Xiangguo Zhang, Ruihao Gong, Yifu Ding, Yi Xu, Xianglong Liu
2023	J	`jnl`	Diverse Sample Generation: Pushing the Limit of Generative Data-Free Quantization. IEEE Trans. Pattern Anal. Mach. Intell. Haotong Qin, Yifu Ding, Xiangguo Zhang, Jiakai Wang, Xianglong Liu, Jiwen Lu
2023	J	`jnl`	Excitement surfeited turns to errors: Deep learning testing framework based on excitable neurons. Inf. Sci. Haibo Jin, Ruoxi Chen, Haibin Zheng, Jinyin Chen, Yao Cheng, Yue Yu, Tieming Chen, Xianglong Liu
2023	J	`jnl`	Exploring the Potential of Flexible 8-bit Format: Design and Algorithm. CoRR Zhuoyi Zhang, Yunchen Zhang, Gonglei Shi, Yu Shen, Ruihao Gong, Xiaoxu Xia, Qi Zhang, Lewei Lu, Xianglong Liu
2023	A*	`conf`	Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization. CVPR Aishan Liu, Shiyu Tang, Siyuan Liang, Ruihao Gong, Boxi Wu, Xianglong Liu, Dacheng Tao
2023	J	`jnl`	Imperceptible Adversarial Attack With Multigranular Spatiotemporal Attention for Video Action Recognition. IEEE Internet Things J. Guoming Wu, Yangfan Xu, Jun Li, Zhi-Ping Shi, Xianglong Liu
2023	A*	`conf`	Improving Robust Fariness via Balance Adversarial Training. AAAI Chunyu Sun, Chenye Xu, Chengyuan Yao, Siyuan Liang, Yichao Wu, Ding Liang, Xianglong Liu, Aishan Liu
2023	A*	`conf`	Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks. ACM Multimedia Jun Guo, Xingyu Zheng, Aishan Liu, Siyuan Liang, Yisong Xiao, Yichao Wu, Xianglong Liu
2023	J	`jnl`	Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks. CoRR Jun Guo, Aishan Liu, Xingyu Zheng, Siyuan Liang, Yisong Xiao, Yichao Wu, Xianglong Liu
2023	A	`conf`	Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing. ISSTA Yisong Xiao, Aishan Liu, Tianlin Li, Xianglong Liu
2023	J	`jnl`	Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing. CoRR Yisong Xiao, Aishan Liu, Tianlin Li, Xianglong Liu
2023	J	`jnl`	MIR2: Towards Provably Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization. CoRR Simin Li, Ruixiao Xu, Jun Guo, Pu Feng, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu, Weifeng Lv
2023	J	`jnl`	OHQ: On-chip Hardware-aware Quantization. CoRR Wei Huang, Haotong Qin, Yangdong Liu, Jingzhuo Liang, Yifu Ding, Ying Li, Xianglong Liu
2023	A*	`conf`	Outlier Suppression+: Accurate quantization of large language models by equivalent and effective shifting and scaling. EMNLP Xiuying Wei, Yunchen Zhang, Yuhang Li, Xiangguo Zhang, Ruihao Gong, Jinyang Guo, Xianglong Liu
2023	J	`jnl`	Outlier Suppression+: Accurate quantization of large language models by equivalent and optimal shifting and scaling. CoRR Xiuying Wei, Yunchen Zhang, Yuhang Li, Xiangguo Zhang, Ruihao Gong, Jinyang Guo, Xianglong Liu
2023	J	`jnl`	Pre-trained Trojan Attacks for Visual Recognition. CoRR Aishan Liu, Xinwei Zhang, Yisong Xiao, Yuguang Zhou, Siyuan Liang, Jiakai Wang, Xianglong Liu, Xiaochun Cao, Dacheng Tao
2023	A*	`conf`	QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution. NeurIPS Haotong Qin, Yulun Zhang, Yifu Ding, Yifan Liu, Xianglong Liu, Martin Danelljan, Fisher Yu
2023	J	`jnl`	Regionwise Generative Adversarial Image Inpainting for Large Missing Areas. IEEE Trans. Cybern. Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Aishan Liu, Dacheng Tao, Edwin R. Hancock
2023	J	`jnl`	RobustMQ: Benchmarking Robustness of Quantized Models. CoRR Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin, Jinyang Guo, Xianglong Liu
2023	J	`jnl`	RobustMQ: benchmarking robustness of quantized models. Vis. Intell. Yisong Xiao, Aishan Liu, Tianyuan Zhang, Haotong Qin, Jinyang Guo, Xianglong Liu
2023	J	`jnl`	Spatio-Temporal Adaptive Network With Bidirectional Temporal Difference for Action Recognition. IEEE Trans. Circuits Syst. Video Technol. Zhilei Li, Jun Li, Yuqing Ma, Rui Wang, Zhi-Ping Shi, Yifu Ding, Xianglong Liu
2023	—	`conf`	SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency. MLSys Yan Wang, Yuhang Li, Ruihao Gong, Aishan Liu, Yanfei Wang, Jian Hu, Yongqiang Yao, Yunchen Zhang, Tianzi Xiao, Fengwei Yu, Xianglong Liu
2023	J	`jnl`	SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency. CoRR Yan Wang, Yuhang Li, Ruihao Gong, Aishan Liu, Yanfei Wang, Jian Hu, Yongqiang Yao, Yunchen Zhang, Tianzi Xiao, Fengwei Yu, Xianglong Liu
2023	J	`jnl`	TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models. CoRR Yushi Huang, Ruihao Gong, Jing Liu, Tianlong Chen, Xianglong Liu
2023	J	`jnl`	Temporal Speciation Network for Few-Shot Object Detection. IEEE Trans. Multim. Xiaowei Zhao, Xianglong Liu, Yuqing Ma, Shihao Bai, Yifan Shen, Zeyu Hao, Aishan Liu
2023	J	`jnl`	Temporal Transformer Networks With Self-Supervision for Action Recognition. IEEE Internet Things J. Yongkang Zhang, Jun Li, Na Jiang, Guoming Wu, Han Zhang, Zhi-Ping Shi, Zhaoxun Liu, Zizhang Wu, Xianglong Liu
2023	J	`jnl`	Towards Accurate Post-Training Quantization for Vision Transformer. CoRR Yifu Ding, Haotong Qin, Qinghua Yan, Zhenhua Chai, Junjie Liu, Xiaolin Wei, Xianglong Liu
2023	A*	`conf`	Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks. CVPR Simin Li, Shuning Zhang, Gujun Chen, Dong Wang, Pu Feng, Jiakai Wang, Aishan Liu, Xin Yi, Xianglong Liu
2023	J	`jnl`	Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks. CoRR Simin Li, Shuing Zhang, Gujun Chen, Dong Wang, Pu Feng, Jiakai Wang, Aishan Liu, Xin Yi, Xianglong Liu
2023	A*	`conf`	X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection. USENIX Security Symposium Aishan Liu, Jun Guo, Jiakai Wang, Siyuan Liang, Renshuai Tao, Wenbo Zhou, Cong Liu, Xianglong Liu, Dacheng Tao
2023	J	`jnl`	X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection. CoRR Aishan Liu, Jun Guo, Jiakai Wang, Siyuan Liang, Renshuai Tao, Wenbo Zhou, Cong Liu, Xianglong Liu, Dacheng Tao
2022	A*	`conf`	BiBERT: Accurate Fully Binarized BERT. ICLR Haotong Qin, Yifu Ding, Mingyuan Zhang, Qinghua Yan, Aishan Liu, Qingqing Dang, Ziwei Liu, Xianglong Liu
2022	J	`jnl`	BiBERT: Accurate Fully Binarized BERT. CoRR Haotong Qin, Yifu Ding, Mingyuan Zhang, Qinghua Yan, Aishan Liu, Qingqing Dang, Ziwei Liu, Xianglong Liu
2022	A*	`conf`	BiFSMN: Binary Neural Network for Keyword Spotting. IJCAI Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Yao Tian, Zejun Ma, Jie Luo, Xianglong Liu
2022	J	`jnl`	BiFSMN: Binary Neural Network for Keyword Spotting. CoRR Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Yao Tian, Zejun Ma, Jie Luo, Xianglong Liu
2022	J	`jnl`	BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance. CoRR Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Zejun Ma, Jiakai Wang, Jie Luo, Xianglong Liu
2022	A*	`conf`	Defensive Patches for Robust Recognition in the Physical World. CVPR Jiakai Wang, Zixin Yin, Pengfei Hu, Aishan Liu, Renshuai Tao, Haotong Qin, Xianglong Liu, Dacheng Tao
2022	J	`jnl`	Defensive Patches for Robust Recognition in the Physical World. CoRR Jiakai Wang, Zixin Yin, Pengfei Hu, Aishan Liu, Renshuai Tao, Haotong Qin, Xianglong Liu, Dacheng Tao
2022	A*	`conf`	Delving Deep into the Generalization of Vision Transformers under Distribution Shifts. CVPR Chongzhi Zhang, Mingyuan Zhang, Shanghang Zhang, Daisheng Jin, Qiang Zhou, Zhongang Cai, Haiyu Zhao, Xianglong Liu, Ziwei Liu
2022	A*	`conf`	Delving into the Estimation Shift of Batch Normalization in a Network. CVPR Lei Huang, Yi Zhou, Tian Wang, Jie Luo, Xianglong Liu
2022	J	`jnl`	Delving into the Estimation Shift of Batch Normalization in a Network. CoRR Lei Huang, Yi Zhou, Tian Wang, Jie Luo, Xianglong Liu
2022	A*	`conf`	Exploring Endogenous Shift for Cross-domain Detection: A Large-scale Benchmark and Perturbation Suppression Network. CVPR Renshuai Tao, Hainan Li, Tianbo Wang, Yanlu Wei, Yifu Ding, Bowei Jin, Hongping Zhi, Xianglong Liu, Aishan Liu
2022	J	`jnl`	Exploring the Relationship between Architecture and Adversarially Robust Generalization. CoRR Shiyu Tang, Siyuan Liang, Ruihao Gong, Aishan Liu, Xianglong Liu, Dacheng Tao
2022	A*	`conf`	Few-shot X-ray Prohibited Item Detection: A Benchmark and Weak-feature Enhancement Network. ACM Multimedia Renshuai Tao, Tianbo Wang, Ziyang Wu, Cong Liu, Aishan Liu, Xianglong Liu
2022	—	`conf`	Frequency Domain Model Augmentation for Adversarial Attack. ECCV (4) Yuyang Long, Qilong Zhang, Boheng Zeng, Lianli Gao, Xianglong Liu, Jian Zhang, Jingkuan Song
2022	J	`jnl`	Frequency Domain Model Augmentation for Adversarial Attack. CoRR Yuyang Long, Qilong Zhang, Boheng Zeng, Lianli Gao, Xianglong Liu, Jian Zhang, Jingkuan Song
2022	A*	`conf`	Generating Transferable Adversarial Examples against Vision Transformers. ACM Multimedia Yuxuan Wang, Jiakai Wang, Zixin Yin, Ruihao Gong, Jingyi Wang, Aishan Liu, Xianglong Liu
2022	A*	`conf`	Harnessing Perceptual Adversarial Patches for Crowd Counting. CCS Shunchang Liu, Jiakai Wang, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, Dacheng Tao
2022	J	`jnl`	Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection. CoRR Simin Li, Huangxinxin Xu, Jiakai Wang, Aishan Liu, Fazhi He, Xianglong Liu, Dacheng Tao
2022	J	`jnl`	Improving Robust Fairness via Balance Adversarial Training. CoRR Chunyu Sun, Chenye Xu, Chengyuan Yao, Siyuan Liang, Yichao Wu, Ding Liang, Xianglong Liu, Aishan Liu
2022	A*	`conf`	Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models. NeurIPS Xiuying Wei, Yunchen Zhang, Xiangguo Zhang, Ruihao Gong, Shanghang Zhang, Qi Zhang, Fengwei Yu, Xianglong Liu
2022	J	`jnl`	Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models. CoRR Xiuying Wei, Yunchen Zhang, Xiangguo Zhang, Ruihao Gong, Shanghang Zhang, Qi Zhang, Fengwei Yu, Xianglong Liu
2022	J	`jnl`	Phonemic Adversarial Attack against Audio Recognition in Real World. CoRR Jiakai Wang, Zhendong Chen, Zixin Yin, Qinghong Yang, Xianglong Liu
2022	A*	`conf`	Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack. CVPR Ye Liu, Yaya Cheng, Lianli Gao, Xianglong Liu, Qilong Zhang, Jingkuan Song
2022	J	`jnl`	Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack. CoRR Ye Liu, Yaya Cheng, Lianli Gao, Xianglong Liu, Qilong Zhang, Jingkuan Song
2022	A*	`conf`	QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization. ICLR Xiuying Wei, Ruihao Gong, Yuhang Li, Xianglong Liu, Fengwei Yu
2022	J	`jnl`	QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization. CoRR Xiuying Wei, Ruihao Gong, Yuhang Li, Xianglong Liu, Fengwei Yu
2022	J	`jnl`	Revisiting Open World Object Detection. CoRR Xiaowei Zhao, Xianglong Liu, Yifan Shen, Yixuan Qiao, Yuqing Ma, Duorui Wang
2022	J	`jnl`	Revisiting audio visual scene-aware dialog. Neurocomputing Aishan Liu, Huiyuan Xie, Xianglong Liu, Zixin Yin, Shunchang Liu
2022	—	`conf`	Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies. ECCV (11) Xingrun Xing, Yangguang Li, Wei Li, Wenrui Ding, Yalong Jiang, Yufeng Wang, Jing Shao, Chunlei Liu, Xianglong Liu
2022	J	`jnl`	Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies. CoRR Xingrun Xing, Yangguang Li, Wei Li, Wenrui Ding, Yalong Jiang, Yufeng Wang, Jing Shao, Chunlei Liu, Xianglong Liu
2022	A*	`conf`	Towards Accurate Post-Training Quantization for Vision Transformer. ACM Multimedia Yifu Ding, Haotong Qin, Qinghua Yan, Zhenhua Chai, Junjie Liu, Xiaolin Wei, Xianglong Liu
2022	J	`jnl`	Towards Machine Learning for Placement and Routing in Chip Design: a Methodological Overview. CoRR Junchi Yan, Xianglong Liu, Ruoyu Cheng, Yibo Lin
2022	J	`jnl`	Transductive Relation-Propagation With Decoupling Training for Few-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. Yuqing Ma, Shihao Bai, Wei Liu, Shuo Wang, Yue Yu, Xiao Bai, Xianglong Liu, Meng Wang
2022	J	`jnl`	Two-Branch Attention Network via Efficient Semantic Coupling for One-Shot Learning. IEEE Trans. Image Process. Jun Li, Duorui Wang, Xianglong Liu, Zhi-Ping Shi, Meng Wang
2022	—	`conf`	Two-branch Objectness-centric Open World Detection. HCMA@MM Yan Wu, Xiaowei Zhao, Yuqing Ma, Duorui Wang, Xianglong Liu
2022	J	`jnl`	Universal Adversarial Patch Attack for Automatic Checkout Using Perceptual and Attentional Bias. IEEE Trans. Image Process. Jiakai Wang, Aishan Liu, Xiao Bai, Xianglong Liu
2021	J	`jnl`	A Comprehensive Evaluation Framework for Deep Model Robustness. CoRR Aishan Liu, Xianglong Liu, Jun Guo, Jiakai Wang, Yuqing Ma, Ze Zhao, Xinghai Gao, Gang Xiao
2021	—	`ed.`	ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, Virtual Event, China, 20 October 2021 AdvM @ ACM Multimedia Dawn Song, Dacheng Tao, Alan L. Yuille, Anima Anandkumar, Aishan Liu, Xinyun Chen, Yingwei Li, Chaowei Xiao, Xun Yang, Xianglong Liu
2021	A*	`conf`	ADVM'21: 1st International Workshop on Adversarial Learning for Multimedia. ACM Multimedia Aishan Liu, Xinyun Chen, Yingwei Li, Chaowei Xiao, Xun Yang, Xianglong Liu, Dawn Song, Dacheng Tao, Alan L. Yuille, Anima Anandkumar
2021	A*	`conf`	BiPointNet: Binary Neural Network for Point Clouds. ICLR Haotong Qin, Zhongang Cai, Mingyuan Zhang, Yifu Ding, Haiyu Zhao, Shuai Yi, Xianglong Liu, Hao Su
2021	J	`jnl`	Boosting Temporal Binary Coding for Large-Scale Video Search. IEEE Trans. Multim. Yan Wu, Xianglong Liu, Haotong Qin, Ke Xia, Sheng Hu, Yuqing Ma, Meng Wang
2021	J	`jnl`	Delving Deep into the Generalization of Vision Transformers under Distribution Shifts. CoRR Chongzhi Zhang, Mingyuan Zhang, Shanghang Zhang, Daisheng Jin, Qiang Zhou, Zhongang Cai, Haiyu Zhao, Shuai Yi, Xianglong Liu, Ziwei Liu
2021	J	`jnl`	Distribution-sensitive Information Retention for Accurate Binary Neural Network. CoRR Haotong Qin, Xiangguo Zhang, Ruihao Gong, Yifu Ding, Yi Xu, Xianglong Liu
2021	J	`jnl`	Diverse Sample Generation: Pushing the Limit of Data-free Quantization. CoRR Haotong Qin, Yifu Ding, Xiangguo Zhang, Aoyu Li, Jiakai Wang, Xianglong Liu, Jiwen Lu
2021	A*	`conf`	Diversifying Sample Generation for Accurate Data-Free Quantization. CVPR Xiangguo Zhang, Haotong Qin, Yifu Ding, Ruihao Gong, Qinghua Yan, Renshuai Tao, Yuhang Li, Fengwei Yu, Xianglong Liu
2021	J	`jnl`	Diversifying Sample Generation for Accurate Data-Free Quantization. CoRR Xiangguo Zhang, Haotong Qin, Yifu Ding, Ruihao Gong, Qinghua Yan, Renshuai Tao, Yuhang Li, Fengwei Yu, Xianglong Liu
2021	A*	`conf`	Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World. CVPR Jiakai Wang, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, Xianglong Liu
2021	J	`jnl`	Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World. CoRR Jiakai Wang, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, Xianglong Liu
2021	A	`conf`	Efficient Fine-Grained Visual-Text Search Using Adversarially-Learned Hash Codes. ICME Yongzhi Li, Yadong Mu, Nan Zhuang, Xianglong Liu
2021	J	`jnl`	Explainable deep learning for efficient and robust pattern recognition: A survey of recent developments. Pattern Recognit. Xiao Bai, Xiang Wang, Xianglong Liu, Qiang Liu, Jingkuan Song, Nicu Sebe, Been Kim
2021	J	`jnl`	Fast Nearest Subspace Search via Random Angular Hashing. IEEE Trans. Multim. Yi Xu, Xianglong Liu, Binshuai Wang, Renshuai Tao, Ke Xia, Xianbin Cao
2021	J	`jnl`	Few-shot learning with relation propagation and constraint. IET Comput. Vis. Huiyun Gong, Shuo Wang, Xiaowei Zhao, Yifan Yan, Yuqing Ma, Wei Liu, Xianglong Liu
2021	J	`jnl`	Harnessing Perceptual Adversarial Patches for Crowd Counting. CoRR Shunchang Liu, Jiakai Wang, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, Dacheng Tao
2021	A	`conf`	Hierarchical Generative Adversarial Networks for Single Image Super-Resolution. WACV Weimin Chen, Yuqing Ma, Xianglong Liu, Yi Yuan
2021	J	`jnl`	Interpreting and Improving Adversarial Robustness of Deep Neural Networks With Neuron Sensitivity. IEEE Trans. Image Process. Chongzhi Zhang, Aishan Liu, Xianglong Liu, Yitao Xu, Hang Yu, Yuqing Ma, Tianlin Li
2021	A	`conf`	Multi-Pretext Attention Network For Few-Shot Learning With Self-Supervision. ICME Hainan Li, Renshuai Tao, Jun Li, Haotong Qin, Yifu Ding, Shuo Wang, Xianglong Liu
2021	J	`jnl`	Multi-Pretext Attention Network for Few-shot Learning with Self-supervision. CoRR Hainan Li, Renshuai Tao, Jun Li, Haotong Qin, Yifu Ding, Shuo Wang, Xianglong Liu
2021	J	`jnl`	Over-sampling De-occlusion Attention Network for Prohibited Items Detection in Noisy X-ray Images. CoRR Renshuai Tao, Yanlu Wei, Hainan Li, Aishan Liu, Yifu Ding, Haotong Qin, Xianglong Liu
2021	J	`jnl`	RobustART: Benchmarking Robustness on Architecture Design and Training Techniques. CoRR Shiyu Tang, Ruihao Gong, Yan Wang, Aishan Liu, Jiakai Wang, Xinyun Chen, Fengwei Yu, Xianglong Liu, Dawn Song, Alan L. Yuille, Philip H. S. Torr, Dacheng Tao
2021	J	`jnl`	Self-Supervised Multiscale Adversarial Regression Network for Stereo Disparity Estimation. IEEE Trans. Cybern. Chen Wang, Xiao Bai, Xiang Wang, Xianglong Liu, Jun Zhou, Xinyu Wu, Hongdong Li, Dacheng Tao
2021	J	`jnl`	Sequential alignment attention model for scene text recognition. J. Vis. Commun. Image Represent. Yan Wu, Jiaxin Fan, Renshuai Tao, Jiakai Wang, Haotong Qin, Aishan Liu, Xianglong Liu
2021	A*	`conf`	Stratified Rule-Aware Network for Abstract Visual Reasoning. AAAI Sheng Hu, Yuqing Ma, Xianglong Liu, Yanlu Wei, Shihao Bai
2021	A*	`conf`	Towards Real-World Prohibited Item Detection: A Large-Scale X-ray Benchmark. ICCV Boying Wang, Libo Zhang, Longyin Wen, Xianglong Liu, Yanjun Wu
2021	J	`jnl`	Towards Real-World Prohibited Item Detection: A Large-Scale X-ray Benchmark. CoRR Boying Wang, Libo Zhang, Longyin Wen, Xianglong Liu, Yanjun Wu
2021	A*	`conf`	Towards Real-world X-ray Security Inspection: A High-Quality Benchmark And Lateral Inhibition Module For Prohibited Items Detection. ICCV Renshuai Tao, Yanlu Wei, Xiangjian Jiang, Hainan Li, Haotong Qin, Jiakai Wang, Yuqing Ma, Libo Zhang, Xianglong Liu
2021	J	`jnl`	Towards Real-world X-ray Security Inspection: A High-Quality Benchmark and Lateral Inhibition Module for Prohibited Items Detection. CoRR Renshuai Tao, Yanlu Wei, Xiangjian Jiang, Hainan Li, Haotong Qin, Jiakai Wang, Yuqing Ma, Libo Zhang, Xianglong Liu
2021	J	`jnl`	Training Robust Deep Neural Networks via Adversarial Noise Propagation. IEEE Trans. Image Process. Aishan Liu, Xianglong Liu, Hang Yu, Chongzhi Zhang, Qiang Liu, Dacheng Tao
2021	J	`jnl`	Understanding adversarial robustness via critical attacking route. Inf. Sci. Tianlin Li, Aishan Liu, Xianglong Liu, Yitao Xu, Chongzhi Zhang, Xiaofei Xie
2020	J	`jnl`	A general non-parametric active learning framework for classification on multiple manifolds. Pattern Recognit. Lett. Lei Huang, Yuqing Ma, Xianglong Liu
2020	J	`jnl`	Adversarial Attacks for Embodied Agents. CoRR Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, Dacheng Tao
2020	A*	`conf`	Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization. CVPR Ruyi Ji, Longyin Wen, Libo Zhang, Dawei Du, Yanjun Wu, Chen Zhao, Xianglong Liu, Feiyue Huang
2020	Misc	`conf`	Balanced Binary Neural Networks with Gated Residual. ICASSP Mingzhu Shen, Xianglong Liu, Ruihao Gong, Kai Han
2020	J	`jnl`	BiPointNet: Binary Neural Network for Point Clouds. CoRR Haotong Qin, Zhongang Cai, Mingyuan Zhang, Yifu Ding, Haiyu Zhao, Shuai Yi, Xianglong Liu, Hao Su
2020	—	`conf`	Bias-Based Universal Adversarial Patch Attack for Automatic Check-Out. ECCV (13) Aishan Liu, Jiakai Wang, Xianglong Liu, Bowen Cao, Chongzhi Zhang, Hang Yu
2020	J	`jnl`	Binary Neural Networks: A Survey. CoRR Haotong Qin, Ruihao Gong, Xianglong Liu, Xiao Bai, Jingkuan Song, Nicu Sebe
2020	J	`jnl`	Binary neural networks: A survey. Pattern Recognit. Haotong Qin, Ruihao Gong, Xianglong Liu, Xiao Bai, Jingkuan Song, Nicu Sebe
2020	J	`jnl`	Distributed Complementary Binary Quantization for Joint Hash Table Learning. IEEE Trans. Neural Networks Learn. Syst. Xianglong Liu, Qiang Fu, Deqing Wang, Xiao Bai, Xinyu Wu, Dacheng Tao
2020	A*	`conf`	Few-shot Visual Learning with Contextual Memory and Fine-grained Calibration. IJCAI Yuqing Ma, Wei Liu, Shihao Bai, Qingyu Zhang, Aishan Liu, Weimin Chen, Xianglong Liu
2020	A*	`conf`	Forward and Backward Information Retention for Accurate Binary Neural Networks. CVPR Haotong Qin, Ruihao Gong, Xianglong Liu, Mingzhu Shen, Ziran Wei, Fengwei Yu, Jingkuan Song
2020	J	`jnl`	GAN-Based virtual-to-real image translation for urban scene semantic segmentation. Neurocomputing Xi Guo, Zhicheng Wang, Qin Yang, Weifeng Lv, Xianglong Liu, Qiong Wu, Jian Huang
2020	A*	`conf`	Graph Attention Based Proposal 3D ConvNets for Action Detection. AAAI Jin Li, Xianglong Liu, Zhuofan Zong, Wanru Zhao, Mingyuan Zhang, Jingkuan Song
2020	B	`conf`	Hierarchical Deep Hashing for Fast Large Scale Image Retrieval. ICPR Yongfei Zhang, Cheng Peng, Jingtao Zhang, Xianglong Liu, Shiliang Pu, Changhuai Chen
2020	J	`jnl`	Hierarchical Rule Induction Network for Abstract Visual Reasoning. CoRR Sheng Hu, Yuqing Ma, Xianglong Liu, Yanlu Wei, Shihao Bai
2020	J	`jnl`	Introduction to the Special Section on Contextual Object Analysis in Complex Scenes. IEEE Trans. Circuits Syst. Video Technol. Meng Wang, Xianglong Liu, Xun Yang, Liang Zheng
2020	A*	`conf`	Learning Unseen Concepts via Hierarchical Decomposition and Composition. CVPR Muli Yang, Cheng Deng, Junchi Yan, Xianglong Liu, Dacheng Tao
2020	J	`jnl`	Learning binary code for fast nearest subspace search. Pattern Recognit. Lei Zhou, Xiao Bai, Xianglong Liu, Jun Zhou, Edwin R. Hancock
2020	J	`jnl`	Multi-Task Consistency-Preserving Adversarial Hashing for Cross-Modal Retrieval. IEEE Trans. Image Process. De Xie, Cheng Deng, Chao Li, Xianglong Liu, Dacheng Tao
2020	A*	`conf`	Occluded Prohibited Items Detection: An X-ray Security Inspection Benchmark and De-occlusion Attention Module. ACM Multimedia Yanlu Wei, Renshuai Tao, Zhangjie Wu, Yuqing Ma, Libo Zhang, Xianglong Liu
2020	J	`jnl`	Occluded Prohibited Items Detection: An X-ray Security Inspection Benchmark and De-occlusion Attention Module. CoRR Yanlu Wei, Renshuai Tao, Zhangjie Wu, Yuqing Ma, Libo Zhang, Xianglong Liu
2020	J	`jnl`	Patch Attack for Automatic Check-out. CoRR Aishan Liu, Jiakai Wang, Xianglong Liu, Chongzhi Zhang, Bowen Cao, Hang Yu
2020	—	`conf`	Patch-Wise Attack for Fooling Deep Neural Network. ECCV (28) Lianli Gao, Qilong Zhang, Jingkuan Song, Xianglong Liu, Heng Tao Shen
2020	J	`jnl`	Patch-wise Attack for Fooling Deep Neural Network. CoRR Lianli Gao, Qilong Zhang, Jingkuan Song, Xianglong Liu, Heng Tao Shen
2020	J	`jnl`	Projection based weight normalization: Efficient method for optimization on oblique manifold in DNNs. Pattern Recognit. Lei Huang, Xianglong Liu, Jie Qin, Fan Zhu, Li Liu, Ling Shao
2020	A*	`conf`	Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition. CVPR Yudong Wu, Yichao Wu, Ruihao Gong, Yuanhao Lv, Ken Chen, Ding Liang, Xiaolin Hu, Xianglong Liu, Junjie Yan
2020	J	`jnl`	Spatio-Temporal Attention Networks for Action Recognition and Detection. IEEE Trans. Multim. Jun Li, Xianglong Liu, Wenxuan Zhang, Mingyuan Zhang, Jingkuan Song, Nicu Sebe
2020	J	`jnl`	Spatio-temporal deformable 3D ConvNets with attention for action recognition. Pattern Recognit. Jun Li, Xianglong Liu, Mingyuan Zhang, Deqing Wang
2020	—	`conf`	Spatiotemporal Attacks for Embodied Agents. ECCV (17) Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, Dacheng Tao
2020	A	`conf`	Stein Variational Inference for Discrete Distributions. AISTATS Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, Jian Peng, Qiang Liu
2020	J	`jnl`	Stein Variational Inference for Discrete Distributions. CoRR Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, Jian Peng, Qiang Liu
2020	J	`jnl`	Towards Defending Multiple Adversarial Perturbations via Gated Batch Normalization. CoRR Aishan Liu, Shiyu Tang, Xianglong Liu, Xinyun Chen, Lei Huang, Zhuozhuo Tu, Dawn Song, Dacheng Tao
2020	J	`jnl`	Towards Overcoming False Positives in Visual Relationship Detection. CoRR Daisheng Jin, Xiao Ma, Chongzhi Zhang, Yizhuo Zhou, Jiashu Tao, Mingyuan Zhang, Haiyu Zhao, Shuai Yi, Zhoujun Li, Xianglong Liu, Hongsheng Li
2020	A*	`conf`	Towards Unified INT8 Training for Convolutional Neural Network. CVPR Feng Zhu, Ruihao Gong, Fengwei Yu, Xianglong Liu, Yanfei Wang, Zhelong Li, Xiuqi Yang, Junjie Yan
2020	A*	`conf`	Transductive Relation-Propagation Network for Few-shot Learning. IJCAI Yuqing Ma, Shihao Bai, Shan An, Wei Liu, Aishan Liu, Xiantong Zhen, Xianglong Liu
2020	J	`jnl`	Unbiased Scene Graph Generation via Rich and Fair Semantic Extraction. CoRR Bin Wen, Jie Luo, Xianglong Liu, Lei Huang
2019	J	`jnl`	Active Multi-Kernel Domain Adaptation for Hyperspectral Image Classification. CoRR Cheng Deng, Xianglong Liu, Chao Li, Dacheng Tao
2019	J	`jnl`	Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model For Hyperspectral Image Classification. CoRR Cheng Deng, Yumeng Xue, Xianglong Liu, Chao Li, Dacheng Tao
2019	J	`jnl`	Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Cheng Deng, Yumeng Xue, Xianglong Liu, Chao Li, Dacheng Tao
2019	A*	`conf`	Adversarial Fine-Grained Composition Learning for Unseen Attribute-Object Recognition. ICCV Kun Wei, Muli Yang, Hao Wang, Cheng Deng, Xianglong Liu
2019	J	`jnl`	Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization. CoRR Ruyi Ji, Longyin Wen, Libo Zhang, Dawei Du, Yanjun Wu, Chen Zhao, Xianglong Liu, Feiyue Huang
2019	J	`jnl`	Balanced Binary Neural Networks with Gated Residual. CoRR Mingzhu Shen, Xianglong Liu, Kai Han, Ruihao Gong, Yunhe Wang, Chang Xu
2019	A*	`conf`	Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering. AAAI Xiangpeng Li, Jingkuan Song, Lianli Gao, Xianglong Liu, Wenbing Huang, Xiangnan He, Chuang Gan
2019	A*	`conf`	Coarse-to-Fine Image Inpainting via Region-wise Convolutions and Non-Local Correlation. IJCAI Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Dailan He, Aishan Liu
2019	A*	`conf`	Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval. AAAI Chao Li, Cheng Deng, Lei Wang, De Xie, Xianglong Liu
2019	J	`jnl`	Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval. CoRR Chao Li, Cheng Deng, Lei Wang, De Xie, Xianglong Liu
2019	A*	`conf`	Deliberate Attention Networks for Image Captioning. AAAI Lianli Gao, Kaixuan Fan, Jingkuan Song, Xianglong Liu, Xing Xu, Heng Tao Shen
2019	A*	`conf`	Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks. ICCV Ruihao Gong, Xianglong Liu, Shenghu Jiang, Tianxiang Li, Peng Hu, Jiazhen Lin, Fengwei Yu, Junjie Yan
2019	J	`jnl`	Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks. CoRR Ruihao Gong, Xianglong Liu, Shenghu Jiang, Tianxiang Li, Peng Hu, Jiazhen Lin, Fengwei Yu, Junjie Yan
2019	—	`conf`	Dynamic Spatio-Temporal Feature Learning via Graph Convolution in 3D Convolutional Networks. ICDM Workshops Jun Li, Xianglong Liu, Jun Xiao, Hainan Li, Shuo Wang, Liang Liu
2019	A	`conf`	Fast and Incremental Loop Closure Detection Using Proximity Graphs. IROS Shan An, Guangfu Che, Fangru Zhou, Xianglong Liu, Xin Ma, Yu Chen
2019	J	`jnl`	Fast and Incremental Loop Closure Detection Using Proximity Graphs. CoRR Shan An, Guangfu Che, Fangru Zhou, Xianglong Liu, Xin Ma, Yu Chen
2019	A*	`conf`	Graph Convolutional Network Hashing for Cross-Modal Retrieval. IJCAI Ruiqing Xu, Chao Li, Junchi Yan, Cheng Deng, Xianglong Liu
2019	J	`jnl`	Interpreting and Improving Adversarial Robustness with Neuron Sensitivity. CoRR Chongzhi Zhang, Aishan Liu, Xianglong Liu, Yitao Xu, Hang Yu, Yuqing Ma, Tianlin Li
2019	A*	`conf`	Latent Distribution Preserving Deep Subspace Clustering. IJCAI Lei Zhou, Xiao Bai, Dong Wang, Xianglong Liu, Jun Zhou, Edwin R. Hancock
2019	A*	`conf`	Perceptual-Sensitive GAN for Generating Adversarial Patches. AAAI Aishan Liu, Xianglong Liu, Jiaxin Fan, Yuqing Ma, Anlan Zhang, Huiyuan Xie, Dacheng Tao
2019	A	`conf`	Quarter-Point Codeword Expansion for Product Quantization. ICME Shan An, Zhibiao Huang, Guangfu Che, Xianglong Liu, Xin Ma, Yu Chen
2019	J	`jnl`	Query-Adaptive Hash Code Ranking for Large-Scale Multi-View Visual Search. CoRR Xianglong Liu, Lei Huang, Cheng Deng, Bo Lang, Dacheng Tao
2019	J	`jnl`	Region-wise Generative Adversarial ImageInpainting for Large Missing Areas. CoRR Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Aishan Liu, Dacheng Tao, Edwin R. Hancock
2019	J	`jnl`	Towards Noise-Robust Neural Networks via Progressive Adversarial Training. CoRR Hang Yu, Aishan Liu, Xianglong Liu, Jichen Yang, Chongzhi Zhang
2019	J	`jnl`	Towards Unified INT8 Training for Convolutional Neural Network. CoRR Feng Zhu, Ruihao Gong, Fengwei Yu, Xianglong Liu, Yanfei Wang, Zhelong Li, Xiuqi Yang, Junjie Yan
2019	J	`jnl`	Training Robust Deep Neural Networks via Adversarial Noise Propagation. CoRR Aishan Liu, Xianglong Liu, Chongzhi Zhang, Hang Yu, Qiang Liu, Junfeng He
2019	J	`jnl`	Triplet-Based Deep Hashing Network for Cross-Modal Retrieval. CoRR Cheng Deng, Zhaojia Chen, Xianglong Liu, Xinbo Gao, Dacheng Tao
2018	J	`jnl`	Active multi-kernel domain adaptation for hyperspectral image classification. Pattern Recognit. Cheng Deng, Xianglong Liu, Chao Li, Dacheng Tao
2018	B	`conf`	Binary Coding by Matrix Classifier for Efficient Subspace Retrieval. ICMR Lei Zhou, Xiao Bai, Xianglong Liu, Jun Zhou
2018	A*	`conf`	Complementary Binary Quantization for Joint Multiple Indexing. IJCAI Qiang Fu, Xu Han, Xianglong Liu, Jingkuan Song, Cheng Deng
2018	A*	`conf`	Deep Joint Semantic-Embedding Hashing. IJCAI Ning Li, Chao Li, Cheng Deng, Xianglong Liu, Xinbo Gao
2018	A*	`conf`	Dictionary Learning in Optimal Metric Space. AAAI Jiexi Yan, Cheng Deng, Xianglong Liu
2018	A*	`conf`	Direct Shape Regression Networks for End-to-End Face Alignment. CVPR Xin Miao, Xiantong Zhen, Xianglong Liu, Cheng Deng, Vassilis Athitsos, Heng Huang
2018	A*	`conf`	Dual Conditional GANs for Face Aging and Rejuvenation. IJCAI Jingkuan Song, Jingqiu Zhang, Lianli Gao, Xianglong Liu, Heng Tao Shen
2018	A*	`conf`	Examine before You Answer: Multi-task Learning with Adaptive-attentions for Multiple-choice VQA. ACM Multimedia Lianli Gao, Pengpeng Zeng, Jingkuan Song, Xianglong Liu, Heng Tao Shen
2018	J	`jnl`	Fast Subspace Clustering Based on the Kronecker Product. CoRR Lei Zhou, Xiao Bai, Xianglong Liu, Jun Zhou, Edwin R. Hancock
2018	J	`jnl`	Fast graph similarity search via hashing and its application on image retrieval. Multim. Tools Appl. Bo Lang, Bo Wu, Yang Liu, Xianglong Liu, Boyu Zhang
2018	A*	`conf`	New l AAAI Xu Yang, Cheng Deng, Xianglong Liu, Feiping Nie
2018	A*	`conf`	Orthogonal Weight Normalization: Solution to Optimization Over Multiple Dependent Stiefel Manifolds in Deep Neural Networks. AAAI Lei Huang, Xianglong Liu, Bo Lang, Adams Wei Yu, Yongliang Wang, Bo Li
2018	A*	`conf`	Progressive Generative Hashing for Image Retrieval. IJCAI Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu
2018	—	`conf`	Random Angular Projection for Fast Nearest Subspace Search. PCM (1) Binshuai Wang, Xianglong Liu, Ke Xia, Kotagiri Ramamohanarao, Dacheng Tao
2018	J	`jnl`	Triplet-Based Deep Hashing Network for Cross-Modal Retrieval. IEEE Trans. Image Process. Cheng Deng, Zhaojia Chen, Xianglong Liu, Xinbo Gao, Dacheng Tao
2018	J	`jnl`	Two-Stream 3-D convNet Fusion for Action Recognition in Videos With Arbitrary Size and Length. IEEE Trans. Multim. Xuanhan Wang, Lianli Gao, Peng Wang, Xiaoshuai Sun, Xianglong Liu
2018	—	`conf`	Weighted Quantization and Hamming Search for Fast Image Super-Resolution. ICDM Workshops Weimin Chen, Xianglong Liu
2017	A*	`conf`	Boosting Complementary Hash Tables for Fast Nearest Neighbor Search. AAAI Xianglong Liu, Cheng Deng, Yadong Mu, Zhujin Li
2017	A*	`conf`	Centered Weight Normalization in Accelerating Training of Deep Neural Networks. ICCV Lei Huang, Xianglong Liu, Yang Liu, Bo Lang, Dacheng Tao
2017	A*	`conf`	Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval. CVPR Li Liu, Fumin Shen, Yuming Shen, Xianglong Liu, Ling Shao
2017	J	`jnl`	Deep Sketch Hashing: Fast Free-hand Sketch-Based Image Retrieval. CoRR Li Liu, Fumin Shen, Yuming Shen, Xianglong Liu, Ling Shao
2017	J	`jnl`	Distributed Adaptive Binary Quantization for Fast Nearest Neighbor Search. IEEE Trans. Image Process. Xianglong Liu, Zhujin Li, Cheng Deng, Dacheng Tao
2017	J	`jnl`	Hash Bit Selection for Nearest Neighbor Search. IEEE Trans. Image Process. Xianglong Liu, Junfeng He, Shih-Fu Chang
2017	—	`conf`	Large-Margin Supervised Hashing. ICONIP (1) Xiaopeng Zhang, Hui Zhang, Yong Chen, Xianglong Liu
2017	A*	`conf`	Multi-Class Support Vector Machine via Maximizing Multi-Class Margins. IJCAI Jie Xu, Xianglong Liu, Zhouyuan Huo, Cheng Deng, Feiping Nie, Heng Huang
2017	J	`jnl`	Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks. CoRR Lei Huang, Xianglong Liu, Bo Lang, Adams Wei Yu, Bo Li
2017	A*	`conf`	Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval. AAAI Erkun Yang, Cheng Deng, Wei Liu, Xianglong Liu, Dacheng Tao, Xinbo Gao
2017	J	`jnl`	Projection Based Weight Normalization for Deep Neural Networks. CoRR Lei Huang, Xianglong Liu, Bo Lang, Bo Li
2017	A*	`conf`	Temporal Binary Coding for Large-Scale Video Search. ACM Multimedia Ke Xia, Yuqing Ma, Xianglong Liu, Yadong Mu, Li Liu
2016	J	`jnl`	A novel rotation adaptive object detection method based on pair Hough model. Neurocomputing Yang Liu, Lei Huang, Xianglong Liu, Bo Lang
2016	A	`conf`	Adaptive Binary Quantization for Fast Nearest Neighbor Search. ECAI Zhujin Li, Xianglong Liu, Junjie Wu, Hao Su
2016	J	`jnl`	Bit selection via walks on graph for hash-based nearest neighbor search. Neurocomputing Ya Wang, Xianglong Liu, Danchen Zhang, Deqing Wang, Yuan Yang
2016	—	`conf`	DisITQ: A Distributed Iterative Quantization Hashing Learning Algorithm. ISCID (2) Qun Chen, Bo Lang, Xianglong Liu, Zepeng Gu
2016	B	`conf`	Efficient segmentation for Region-based Image Retrieval using Edge Integrated Minimum Spanning Tree. ICPR Yang Liu, Lei Huang, Siqi Wang, Xianglong Liu, Bo Lang
2016	J	`jnl`	Face identification with second-order pooling in single-layer networks. Neurocomputing Fumin Shen, Yang Yang, Xiang Zhou, Xianglong Liu, Jie Shao
2016	A*	`conf`	Multilinear Hyperplane Hashing. CVPR Xianglong Liu, Xinjie Fan, Cheng Deng, Zhujin Li, Hao Su, Dacheng Tao
2016	J	`jnl`	Query-Adaptive Hash Code Ranking for Large-Scale Multi-View Visual Search. IEEE Trans. Image Process. Xianglong Liu, Lei Huang, Cheng Deng, Bo Lang, Dacheng Tao
2016	J	`jnl`	Query-Adaptive Reciprocal Hash Tables for Nearest Neighbor Search. IEEE Trans. Image Process. Xianglong Liu, Cheng Deng, Bo Lang, Dacheng Tao, Xuelong Li
2016	J	`jnl`	Structure Sensitive Hashing With Adaptive Product Quantization. IEEE Trans. Cybern. Xianglong Liu, Bowen Du, Cheng Deng, Ming Liu, Bo Lang
2016	J	`jnl`	Unsupervised feature selection through Gram-Schmidt orthogonalization - A word co-occurrence perspective. Neurocomputing Deqing Wang, Hui Zhang, Rui Liu, Xianglong Liu, Jing Wang
2015	J	`jnl`	Adaptive multi-bit quantization for hashing. Neurocomputing Cheng Deng, Huiru Deng, Xianglong Liu, Yuan Yuan
2015	—	`conf`	Fast Graph Similarity Search via Locality Sensitive Hashing. PCM (1) Boyu Zhang, Xianglong Liu, Bo Lang
2015	J	`jnl`	Large-Scale Unsupervised Hashing with Shared Structure Learning. IEEE Trans. Cybern. Xianglong Liu, Yadong Mu, Danchen Zhang, Bo Lang, Xuelong Li
2015	J	`jnl`	Large-scale multi-task image labeling with adaptive relevance discovery and feature hashing. Signal Process. Cheng Deng, Xianglong Liu, Yadong Mu, Jie Li
2015	A*	`conf`	Multi-View Complementary Hash Tables for Nearest Neighbor Search. ICCV Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu, Bo Lang
2015	J	`jnl`	Online semi-supervised annotation via proxy-based local consistency propagation. Neurocomputing Lei Huang, Xianglong Liu, Binqiang Ma, Bo Lang
2014	A*	`conf`	Collaborative Hashing. CVPR Xianglong Liu, Junfeng He, Cheng Deng, Bo Lang
2014	A	`conf`	Graph-based active semi-supervised learning: A new perspective for relieving multi-class annotation labor. ICME Lei Huang, Yang Liu, Xianglong Liu, Xindong Wang, Bo Lang
2014	—	`conf`	Image Super-resolution Based on Sparse Representation With Joint Constraints. ICIMCS Jie Xu, Cheng Deng, Xianglong Liu, Jie Li
2014	J	`jnl`	Mixed image-keyword query adaptive hashing over multilabel images. ACM Trans. Multim. Comput. Commun. Appl. Xianglong Liu, Yadong Mu, Bo Lang, Shih-Fu Chang
2014	J	`jnl`	Multiple feature kernel hashing for large-scale visual search. Pattern Recognit. Xianglong Liu, Junfeng He, Bo Lang
2014	C	`conf`	Ontology-based Concept Similarity Integrating Image Semantic and Visual Information. FedCSIS Mengyun Wang, Xianglong Liu, Lei Huang, Bo Lang, Hailiang Yu
2014	A*	`conf`	Query-Adaptive Hash Code Ranking for Fast Nearest Neighbor Search. ACM Multimedia Tianxu Ji, Xianglong Liu, Cheng Deng, Lei Huang, Bo Lang
2013	A	`conf`	Efficient semi-supervised annotation with Proxy-based Local Consistency Propagation. ICME Lei Huang, Yang Wang, Xianglong Liu, Bo Lang
2013	C	`conf`	Hash Bit Selection Using Markov Process for Approximate Nearest Neighbor Search. MoMM Danchen Zhang, Xianglong Liu, Bo Lang
2013	A*	`conf`	Hash Bit Selection: A Unified Solution for Selection Problems in Hashing. CVPR Xianglong Liu, Junfeng He, Bo Lang, Shih-Fu Chang
2013	A*	`conf`	Reciprocal Hash Tables for Nearest Neighbor Search. AAAI Xianglong Liu, Junfeng He, Bo Lang
2013	—	`conf`	Robust clustering for social annotated images. ICIMCS Yang Wang, Jian Zheng, Xianglong Liu, Bo Lang
2012	B	`conf`	Compact hashing for mixed image-keyword query over multi-label images. ICMR Xianglong Liu, Yadong Mu, Bo Lang, Shih-Fu Chang
2012	A*	`conf`	Compact kernel hashing with multiple features. ACM Multimedia Xianglong Liu, Junfeng He, Di Liu, Bo Lang
2012	J	`jnl`	Feature grouping and local soft match for mobile visual search. Pattern Recognit. Lett. Xianglong Liu, Bo Lang, Yi Xu, Bo Cheng
2012	A*	`conf`	Mobile product search with Bag of Hash Bits and boundary reranking. CVPR Junfeng He, Jinyuan Feng, Xianglong Liu, Tao Cheng, Tai-Hsu Lin, Hyunjin Chung, Shih-Fu Chang
2012	J	`jnl`	Multimedia semantics-aware query-adaptive hashing with bits reconfigurability. Int. J. Multim. Inf. Retr. Yadong Mu, Xiangyu Chen, Xianglong Liu, Tat-Seng Chua, Shuicheng Yan
2011	—	`conf`	AUDR at ImageCLEF2011: Medical Retrieval Task. CLEF (Notebook Papers/Labs/Workshop) Junwu Luo, Xianglong Liu, Han Wang, Bo Lang
2011	J	`jnl`	An improved noise-robust voice activity detector based on hidden semi-Markov models. Pattern Recognit. Lett. Yuan Liang, Xianglong Liu, Yihua Lou, Baosong Shan
2011	—	`conf`	Music identification via vocabulary tree with MFCC peaks. MIRUM Tianjing Xu, Adams Wei Yu, Xianglong Liu, Bo Lang
2011	A	`conf`	Search by mobile image based on visual and spatial consistency. ICME Xianglong Liu, Yihua Lou, Adams Wei Yu, Bo Lang
2010	J	`jnl`	A heuristic algorithm for cube packing with time schedule. Sci. China Inf. Sci. Wei Li, Wenqi Huang, Dongchen Jiang, Xianglong Liu
2010	B	`conf`	Noise-Robust Voice Activity Detector Based on Hidden Semi-Markov Models. ICPR Xianglong Liu, Yuan Liang, Yihua Lou, He Li, Baosong Shan