Zhen Xiang - RankMe

87 papers A* 10A 1C 1Misc 6Journal 56Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Q-realign: Piggybacking Realignment on Quantization for Safe and Efficient LLM Deployment. CoRR Qitao Tan, Xiaoying Song, Ningxi Cheng, Ninghao Liu, Xiaoming Zhai, Lingzi Hong, Yanzhi Wang, Zhen Xiang, Geng Yuan
2025	J	`jnl`	A Practical Memory Injection Attack against LLM Agents. CoRR Shen Dong, Shaochen Xu, Pengfei He, Yige Li, Jiliang Tang, Tianming Liu, Hui Liu, Zhen Xiang
2025	J	`jnl`	Adaptive Content Restriction for Large Language Models via Suffix Optimization. CoRR Yige Li, Peihai Jiang, Jun Sun, Peng Shu, Tianming Liu, Zhen Xiang
2025	J	`jnl`	Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges. CoRR Haoran Lu, Luyang Fang, Ruidong Zhang, Xinliang Li, Jiazhang Cai, Huimin Cheng, Lin Tang, Ziyu Liu, Zeliang Sun, Tao Wang, Yingchuan Zhang, Arif Hassan Zidan, Jinwen Xu, Jincheng Yu, Meizhi Yu, Hanqi Jiang, Xilin Gong, Weidi Luo, Bolun Sun, Yongkai Chen, Terry Ma, Shushan Wu, Yifan Zhou, Junhao Chen, Haotian Xiang, Jing Zhang, Afrar Jahin, Wei Ruan, Ke Deng, Yi Pan, Peilong Wang, Jiahui Li, Zhengliang Liu, Lu Zhang, Lin Zhao, Wei Liu, Dajiang Zhu, Xin Xing, Fei Dou, Wei Zhang, Chao Huang, Rongjie Liu, Mengrui Zhang, Yiwen Liu, Xiaoxiao Sun, Qin Lu, Zhen Xiang, Wenxuan Zhong, Tianming Liu, Ping Ma
2025	J	`jnl`	CDR-Agent: Intelligent Selection and Execution of Clinical Decision Rules Using Large Language Model Agents. CoRR Zhen Xiang, Aliyah R. Hsu, Austin Zane, Aaron Kornblith, Margaret J. Lin-Martore, Jasmanpreet C. Kaur, Vasuda M. Dokiparthi, Bo Li, Bin Yu
2025	J	`jnl`	Code Agent can be an End-to-end System Hacker: Benchmarking Real-world Threats of Computer-use Agent. CoRR Weidi Luo, Qiming Zhang, Tianyu Lu, Xiaogeng Liu, Bin Hu, Hung-Chun Chiu, Siyuan Ma, Yizhe Zhang, Xusheng Xiao, Yinzhi Cao, Zhen Xiang, Chaowei Xiao
2025	J	`jnl`	Comprehensive Vulnerability Analysis is Necessary for Trustworthy LLM-MAS. CoRR Pengfei He, Yue Xing, Shen Dong, Juanhui Li, Zhenwei Dai, Xianfeng Tang, Hui Liu, Han Xu, Zhen Xiang, Charu C. Aggarwal
2025	J	`jnl`	Correcting the distribution of batch normalization signals for Trojan mitigation. Neurocomputing Xi Li, Zhen Xiang, David J. Miller, George Kesidis
2025	J	`jnl`	Doxing via the Lens: Revealing Privacy Leakage in Image Geolocation for Agentic Multi-Modal Large Reasoning Model. CoRR Weidi Luo, Qiming Zhang, Tianyu Lu, Xiaogeng Liu, Yue Zhao, Zhen Xiang, Chaowei Xiao
2025	A*	`conf`	GuardAgent: Safeguard LLM Agents via Knowledge-Enabled Reasoning. ICML Zhen Xiang, Linzhi Zheng, YanJie Li, Junyuan Hong, Qinbin Li, Han Xie, Jiawei Zhang, Zidi Xiong, Chulin Xie, Carl Yang, Dawn Song, Bo Li
2025	J	`jnl`	How Memory Management Impacts LLM Agents: An Empirical Study of Experience-Following Behavior. CoRR Zidi Xiong, Yuping Lin, Wenya Xie, Pengfei He, Jiliang Tang, Himabindu Lakkaraju, Zhen Xiang
2025	—	`conf`	Large Language Model Empowered Privacy-Protected Framework for PHI Annotation in Clinical Notes. MedInfo Guanchen Wu, Linzhi Zheng, Han Xie, Zhen Xiang, Jiaying Lu, Darren Liu, Delgersuren Bold, Bo Li, Xiao Hu, Carl Yang
2025	J	`jnl`	Large Language Model Empowered Privacy-Protected Framework for PHI Annotation in Clinical Notes. CoRR Guanchen Wu, Linzhi Zheng, Han Xie, Zhen Xiang, Jiaying Lu, Darren Liu, Delgersuren Bold, Bo Li, Xiao Hu, Carl Yang
2025	A*	`conf`	MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models. ICLR Chejian Xu, Jiawei Zhang, Zhaorun Chen, Chulin Xie, Mintong Kang, Yujin Potter, Zhun Wang, Zhuowen Yuan, Alexander Xiong, Zidi Xiong, Chenhui Zhang, Lingzhi Yuan, Yi Zeng, Peiyang Xu, Chengquan Guo, Andy Zhou, Jeffrey Ziwei Tan, Xuandong Zhao, Francesco Pinto, Zhen Xiang, et al.
2025	J	`jnl`	MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models. CoRR Chejian Xu, Jiawei Zhang, Zhaorun Chen, Chulin Xie, Mintong Kang, Yujin Potter, Zhun Wang, Zhuowen Yuan, Alexander Xiong, Zidi Xiong, Chenhui Zhang, Lingzhi Yuan, Yi Zeng, Peiyang Xu, Chengquan Guo, Andy Zhou, Jeffrey Ziwei Tan, Xuandong Zhao, Francesco Pinto, Zhen Xiang, Yu Gai, Zinan Lin, Dan Hendrycks, Bo Li, Dawn Song
2025	J	`jnl`	MetaBreak: Jailbreaking Online LLM Services via Special Token Manipulation. CoRR Wentian Zhu, Zhen Xiang, Wei Niu, Le Guan
2025	J	`jnl`	Multi-Faceted Studies on Data Poisoning can Advance LLM Development. CoRR Pengfei He, Yue Xing, Han Xu, Zhen Xiang, Jiliang Tang
2025	J	`jnl`	RadFabric: Agentic AI System with Reasoning Capability for Radiology. CoRR Wenting Chen, Yi Dong, Zhaojun Ding, Yucheng Shi, Yifan Zhou, Fang Zeng, Yijun Luo, Tianyu Lin, Yihang Su, Yichen Wu, Kai Zhang, Zhen Xiang, Tianming Liu, Ninghao Liu, Lichao Sun, Yixuan Yuan, Xiang Li
2025	J	`jnl`	SOSBENCH: Benchmarking Safety Alignment on Scientific Knowledge. CoRR Fengqing Jiang, Fengbo Ma, Zhangchen Xu, Yuetai Li, Bhaskar Ramasubramanian, Luyao Niu, Bo Li, Xianyan Chen, Zhen Xiang, Radha Poovendran
2025	—	`conf`	SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities. ACL (Findings) Fengqing Jiang, Zhangchen Xu, Yuetai Li, Luyao Niu, Zhen Xiang, Bo Li, Bill Yuchen Lin, Radha Poovendran
2025	J	`jnl`	SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities. CoRR Fengqing Jiang, Zhangchen Xu, Yuetai Li, Luyao Niu, Zhen Xiang, Bo Li, Bill Yuchen Lin, Radha Poovendran
2025	—	`conf`	Unveiling Privacy Risks in LLM Agent Memory. ACL (1) Bo Wang, Weiyi He, Shenglai Zeng, Zhen Xiang, Yue Xing, Jiliang Tang, Pengfei He
2025	J	`jnl`	Unveiling Privacy Risks in LLM Agent Memory. CoRR Bo Wang, Weiyi He, Pengfei He, Shenglai Zeng, Zhen Xiang, Yue Xing, Jiliang Tang
2024	A*	`conf`	AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases. NeurIPS Zhaorun Chen, Zhen Xiang, Chaowei Xiao, Dawn Song, Bo Li
2024	J	`jnl`	AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases. CoRR Zhaorun Chen, Zhen Xiang, Chaowei Xiao, Dawn Song, Bo Li
2024	J	`jnl`	Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review. CoRR Rui Ye, Xianghe Pang, Jingyi Chai, Jiaao Chen, Zhenfei Yin, Zhen Xiang, Xiaowen Dong, Jing Shao, Siheng Chen
2024	—	`conf`	ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs. ACL (1) Fengqing Jiang, Zhangchen Xu, Luyao Niu, Zhen Xiang, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran
2024	J	`jnl`	ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs. CoRR Fengqing Jiang, Zhangchen Xu, Luyao Niu, Zhen Xiang, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran
2024	J	`jnl`	BIC-Based Mixture Model Defense Against Data Poisoning Attacks on Classifiers: A Comprehensive Study. IEEE Trans. Knowl. Data Eng. Xi Li, David J. Miller, Zhen Xiang, George Kesidis
2024	A*	`conf`	BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models. ICLR Zhen Xiang, Fengqing Jiang, Zidi Xiong, Bhaskar Ramasubramanian, Radha Poovendran, Bo Li
2024	J	`jnl`	BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models. CoRR Zhen Xiang, Fengqing Jiang, Zidi Xiong, Bhaskar Ramasubramanian, Radha Poovendran, Bo Li
2024	A*	`conf`	Data Free Backdoor Attacks. NeurIPS Bochuan Cao, Jinyuan Jia, Chuxuan Hu, Wenbo Guo, Zhen Xiang, Jinghui Chen, Bo Li, Dawn Song
2024	J	`jnl`	Data Free Backdoor Attacks. CoRR Bochuan Cao, Jinyuan Jia, Chuxuan Hu, Wenbo Guo, Zhen Xiang, Jinghui Chen, Bo Li, Dawn Song
2024	J	`jnl`	Evaluation of OpenAI o1: Opportunities and Challenges of AGI. CoRR Tianyang Zhong, Zhengliang Liu, Yi Pan, Yutong Zhang, Yifan Zhou, Shizhe Liang, Zihao Wu, Yanjun Lyu, Peng Shu, Xiaowei Yu, Chao Cao, Hanqi Jiang, Hanxu Chen, Yiwei Li, Junhao Chen, Huawen Hu, Yihen Liu, Huaqin Zhao, Shaochen Xu, Haixing Dai, Lin Zhao, Ruidong Zhang, Wei Zhao, Zhenyuan Yang, Jingyuan Chen, Peilong Wang, Wei Ruan, Hui Wang, Huan Zhao, Jing Zhang, Yiming Ren, Shihuan Qin, Tong Chen, Jiaxi Li, Arif Hassan Zidan, Afrar Jahin, Minheng Chen, Sichen Xia, Jason Holmes, Yan Zhuang, Jiaqi Wang, Bochen Xu, Weiran Xia, Jichao Yu, Kaibo Tang, Yaxuan Yang, Bolun Sun, Tao Yang, Guoyu Lu, Xianqiao Wang, Lilong Chai, He Li, Jin Lu, Lichao Sun, Xin Zhang, Bao Ge, Xintao Hu, Lian Zhang, Hua Zhou, Lu Zhang, Shu Zhang, Ninghao Liu, Bei Jiang, Linglong Kong, Zhen Xiang, Yudan Ren, Jun Liu, Xi Jiang, Yu Bao, Wei Zhang, Xiang Li, Gang Li, Wei Liu, Dinggang Shen, Andrea Sikora, Xiaoming Zhai, Dajiang Zhu, Tianming Liu
2024	J	`jnl`	GuardAgent: Safeguard LLM Agents by a Guard Agent via Knowledge-Enabled Reasoning. CoRR Zhen Xiang, Linzhi Zheng, YanJie Li, Junyuan Hong, Qinbin Li, Han Xie, Jiawei Zhang, Zidi Xiong, Chulin Xie, Carl Yang, Dawn Song, Bo Li
2024	—	`conf`	Improved Activation Clipping for Universal Backdoor Mitigation and Test-Time Detection. MLSP Hang Wang, Zhen Xiang, David J. Miller, George Kesidis
2024	A	`conf`	MADE: Malicious Agent Detection for Robust Multi-Agent Collaborative Perception. IROS Yangheng Zhao, Zhen Xiang, Sheng Yin, Xianghe Pang, Yanfeng Wang, Siheng Chen
2024	A*	`conf`	MM-BD: Post-Training Detection of Backdoor Attacks with Arbitrary Backdoor Pattern Types Using a Maximum Margin Statistic. SP Hang Wang, Zhen Xiang, David J. Miller, George Kesidis
2024	J	`jnl`	Physical Backdoor Attack can Jeopardize Driving with Vision-Large-Language Models. CoRR Zhenyang Ni, Rui Ye, Yuxi Wei, Zhen Xiang, Yanfeng Wang, Siheng Chen
2024	J	`jnl`	SafeAgentBench: A Benchmark for Safe Task Planning of Embodied LLM Agents. CoRR Sheng Yin, Xianghe Pang, Yuanzhuo Ding, Menglan Chen, Yutong Bi, Yichen Xiong, Wenhao Huang, Zhen Xiang, Jing Shao, Siheng Chen
2024	J	`jnl`	Towards Next-Generation Medical Agent: How o1 is Reshaping Decision-Making in Medical Scenarios. CoRR Shaochen Xu, Yifan Zhou, Zhengliang Liu, Zihao Wu, Tianyang Zhong, Huaqin Zhao, Yiwei Li, Hanqi Jiang, Yi Pan, Junhao Chen, Jin Lu, Wei Zhang, Tuo Zhang, Lu Zhang, Dajiang Zhu, Xiang Li, Wei Liu, Quanzheng Li, Andrea Sikora, Xiaoming Zhai, Zhen Xiang, Tianming Liu
2023	—	`conf`	A BIC-Based Mixture Model Defense Against Data Poisoning Attacks on Classifiers. MLSP Xi Li, David J. Miller, Zhen Xiang, George Kesidis
2023	J	`jnl`	Backdoor Mitigation by Correcting the Distribution of Neural Activations. CoRR Xi Li, Zhen Xiang, David J. Miller, George Kesidis
2023	A*	`conf`	CBD: A Certified Backdoor Detector Based on Local Dominant Probability. NeurIPS Zhen Xiang, Zidi Xiong, Bo Li
2023	J	`jnl`	CBD: A Certified Backdoor Detector Based on Local Dominant Probability. CoRR Zhen Xiang, Zidi Xiong, Bo Li
2023	J	`jnl`	Improved Activation Clipping for Universal Backdoor Mitigation and Test-Time Detection. CoRR Hang Wang, Zhen Xiang, David J. Miller, George Kesidis
2023	J	`jnl`	Malicious Agent Detection for Robust Multi-Agent Collaborative Perception. CoRR Yangheng Zhao, Zhen Xiang, Sheng Yin, Xianghe Pang, Siheng Chen, Yanfeng Wang
2023	J	`jnl`	Swift: A modern highly-parallel gravity and smoothed particle hydrodynamics solver for astrophysical and cosmological applications. CoRR Matthieu Schaller, Josh Borrow, Peter W. Draper, Mladen Ivkovic, Stuart McAlpine, Bert Vandenbroucke, Yannick Bahé, Evgenii Chaikin, Aidan B. G. Chalk, Tsang Keung Chan, Camila Correa, Marcel van Daalen, Willem Elbers, Pedro Gonnet, Loïc Hausammann, John C. Helly, Filip Husko, Jacob A. Kegerreis, Folkert S. J. Nobels, Sylvia Ploeckinger, Yves Revaz, William J. Roper, Sergio Ruiz-Bonilla, Thomas D. Sandnes, Yolan Uyttenhove, James S. Willis, Zhen Xiang
2023	Misc	`conf`	Training Set Cleansing of Backdoor Poisoning by Self-Supervised Representation Learning. ICASSP Hang Wang, Sahar Karami, Ousmane Dia, Hippolyt Ritter, Ehsan Emamjomeh-Zadeh, Jiahui Chen, Zhen Xiang, David J. Miller, George Kesidis
2023	A*	`conf`	UMD: Unsupervised Model Detection for X2X Backdoor Attacks. ICML Zhen Xiang, Zidi Xiong, Bo Li
2023	J	`jnl`	UMD: Unsupervised Model Detection for X2X Backdoor Attacks. CoRR Zhen Xiang, Zidi Xiong, Bo Li
2022	Misc	`conf`	Detecting Backdoor Attacks against Point Cloud Classifiers. ICASSP Zhen Xiang, David J. Miller, Siheng Chen, Xi Li, George Kesidis
2022	J	`jnl`	Detection of Backdoors in Trained Classifiers Without Access to the Training Set. IEEE Trans. Neural Networks Learn. Syst. Zhen Xiang, David J. Miller, George Kesidis
2022	—	`conf`	Distributed Robust Nash Equilibrium Seeking for Double-Integrator-Type Players Without Velocity Measurements. ASCC Danhu Li, Zhen Xiang, Maojiao Ye
2022	A*	`conf`	Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios. ICLR Zhen Xiang, David J. Miller, George Kesidis
2022	J	`jnl`	Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios. CoRR Zhen Xiang, David J. Miller, George Kesidis
2022	Misc	`conf`	Test-Time Detection of Backdoor Triggers for Poisoned Deep Neural Networks. ICASSP Xi Li, Zhen Xiang, David J. Miller, George Kesidis
2022	J	`jnl`	Training set cleansing of backdoor poisoning by self-supervised representation learning. CoRR Hang Wang, Sahar Karami, Ousmane Dia, Hippolyt Ritter, Ehsan Emamjomeh-Zadeh, Jiahui Chen, Zhen Xiang, David J. Miller, George Kesidis
2022	J	`jnl`	Universal Post-Training Backdoor Detection. CoRR Hang Wang, Zhen Xiang, David J. Miller, George Kesidis
2022	C	`conf`	Velocity-Free Distributed Robust Nash Equilibrium Seeking By An Uncertainty and Disturbance Estimator Based Algorithm. IECON Zhen Xiang, Danhu Li, Guobiao Jia, Maojiao Ye
2021	J	`jnl`	A BIC based Mixture Model Defense against Data Poisoning Attacks on Classifiers. CoRR Xi Li, David J. Miller, Zhen Xiang, George Kesidis
2021	A*	`conf`	A Backdoor Attack against 3D Point Cloud Classifiers. ICCV Zhen Xiang, David J. Miller, Siheng Chen, Xi Li, George Kesidis
2021	J	`jnl`	A Backdoor Attack against 3D Point Cloud Classifiers. CoRR Zhen Xiang, David J. Miller, Siheng Chen, Xi Li, George Kesidis
2021	J	`jnl`	Detecting Backdoor Attacks Against Point Cloud Classifiers. CoRR Zhen Xiang, David J. Miller, Siheng Chen, Xi Li, George Kesidis
2021	J	`jnl`	Detecting Scene-Plausible Perceptible Backdoors in Trained DNNs Without Access to the Training Set. Neural Comput. Zhen Xiang, David J. Miller, Hang Wang, George Kesidis
2021	Misc	`conf`	L-Red: Efficient Post-Training Detection of Imperceptible Backdoor Attacks Without Access to the Training Set. ICASSP Zhen Xiang, David J. Miller, George Kesidis
2021	J	`jnl`	Reverse engineering imperceptible backdoor attacks on deep neural networks for detection and training set cleansing. Comput. Secur. Zhen Xiang, David J. Miller, George Kesidis
2021	J	`jnl`	Test-Time Detection of Backdoor Triggers for Poisoned Deep Neural Networks. CoRR Xi Li, Zhen Xiang, David J. Miller, George Kesidis
2020	—	`conf`	A Scalable Mixture Model Based Defense Against Data Poisoning Attacks on Classifiers. DDDAS Xi Li, David J. Miller, Zhen Xiang, George Kesidis
2020	J	`jnl`	Adversarial Learning Targeting Deep Neural Network Classification: A Comprehensive Review of Defenses Against Attacks. Proc. IEEE David J. Miller, Zhen Xiang, George Kesidis
2020	J	`jnl`	Determination of Planetary Boundary Layer height with Lidar Signals Using Maximum Limited Height Initialization and Range Restriction (MLHI-RR). Remote. Sens. Tianfen Zhong, Nanchao Wang, Xue Shen, Da Xiao, Zhen Xiang, Dong Liu
2020	J	`jnl`	L-RED: Efficient Post-Training Detection of Imperceptible Backdoor Attacks without Access to the Training Set. CoRR Zhen Xiang, David J. Miller, George Kesidis
2020	J	`jnl`	Multimedia resource allocation strategy of wireless sensor networks using distributed heuristic algorithm in cloud computing environment. Multim. Tools Appl. Jian Yang, Zhen Xiang, Lisha Mou, Shumu Liu
2020	Misc	`conf`	Revealing Backdoors, Post-Training, in DNN Classifiers via Novel Inference on Optimized Perturbations Inducing Group Misclassification. ICASSP Zhen Xiang, David J. Miller, George Kesidis
2020	—	`conf`	Revealing Perceptible Backdoors in DNNs, Without the Training Set, via the Maximum Achievable Misclassification Fraction Statistic. MLSP Zhen Xiang, David J. Miller, Hang Wang, George Kesidis
2020	J	`jnl`	Reverse Engineering Imperceptible Backdoor Attacks on Deep Neural Networks for Detection and Training Set Cleansing. CoRR Zhen Xiang, David J. Miller, George Kesidis
2020	J	`jnl`	Scanning the Issue. Proc. IEEE Weiqiang Liu, Maximilian John, Andreas Karrenbauer, Adam Allerhand, Fabrizio Lombardi, Michael Shulte, David J. Miller, Zhen Xiang, George Kesidis, Antti Oulasvirta, Niraj Ramesh Dayama, Morteza Shiripour
2019	—	`conf`	A Benchmark Study Of Backdoor Data Poisoning Defenses For Deep Neural Network Classifiers And A Novel Defense. MLSP Zhen Xiang, David J. Miller, George Kesidis
2019	J	`jnl`	Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks. CoRR David J. Miller, Zhen Xiang, George Kesidis
2019	J	`jnl`	Revealing Backdoors, Post-Training, in DNN Classifiers via Novel Inference on Optimized Perturbations Inducing Group Misclassification. CoRR Zhen Xiang, David J. Miller, George Kesidis
2019	J	`jnl`	Revealing Perceptible Backdoors, without the Training Set, via the Maximum Achievable Misclassification Fraction Statistic. CoRR Zhen Xiang, David J. Miller, George Kesidis
2018	J	`jnl`	A Mixture Model Based Defense for Data Poisoning Attacks Against Naive Bayes Spam Filters. CoRR David J. Miller, Xinyi Hu, Zhen Xiang, George Kesidis
2018	Misc	`conf`	Locally optimal, delay-tolerant predictive source coding. CISS Zhen Xiang, David J. Miller
2009	J	`jnl`	Slope Perception from Monoscopic Field Images: Applications to Mobile Robot Navigation. J. Intell. Robotic Syst. Zhen Xiang, Geb W. Thomas, Kristopher M. Thornburg, Nathalie Cabrol, Edmond Grin, Robert C. Anderson
2008	—	`conf`	Evaluation of the Human Eye Glare after Strong Exposure. BMEI (1) Kai Xiong, Zhen Xiang, Jianhong Ge
2006	—	`conf`	Intelligent Multimedia Group of Tsinghua University at TRECVID 2006. TRECVID Jie Cao, Yanxiang Lan, Jianmin Li, Qiang Li, Xirong Li, Fuzong Lin, Xiaobing Liu, Linjie Luo, Wanli Peng, Dong Wang, Huiyi Wang, Zhikun Wang, Zhen Xiang, Jinhui Yuan, Bo Zhang, Jun Zhang, Leigang Zhang, Xiao Zhang, Wujie Zheng
2003	—	`conf`	NGG: A Service-Oriented Application Grid Architecture for National Geological Survey. GCC (1) Yu Tang, Kai-Tao He, Zhen Xiang, Yongbo Zhang, Ning Jing