AMCAS: An Automatic Malicious Code Analysis System. - Jia Zhang 004; Yuntao Guan; Xiaoxin Jiang; Hai-Xin Duan; Jianping Wu (WAIM, 2008)

WindTalker: A P2P-Based Low-Latency Anonymous Communication Network. - Jia Zhang 004; Hai-Xin Duan; Wu Liu; Jianping Wu (IEICE Trans. Commun., 2009)

Analysis of Anonymity in P2P Anonymous Communication Systems. - Jia Zhang 004; Hai-Xin Duan; Wu Liu; Jianping Wu (AINA Workshops, 2010)

Anonymity analysis of P2P anonymous communication systems. - Jia Zhang 004; Hai-Xin Duan; Wu Liu; Jianping Wu (Comput. Commun., 2011)

Solving Multi-choice Secretary Problem in Parallel: An Optimal Observation-Selection Protocol. - Xiaoming Sun 001; Jia Zhang 004; Jialin Zhang 001 (ISAAC, 2014)

Deterministic Protocol for Shared $Q$-queue $J$-choice $K$-best Secretary Problem. - Xiaoming Sun 001; Jia Zhang 004; Jialin Zhang 001 (CoRR, 2014)

Randomized Mechanisms for Selling Reserved Instances in Cloud. - Jia Zhang 004; Weidong Ma; Tao Qin 001; Xiaoming Sun 001; Tie-Yan Liu (CoRR, 2016)

Computing the least-core and nucleolus for threshold cardinality matching games. - Qizhi Fang; Bo Li 037; Xiaoming Sun 001; Jia Zhang 004; Jialin Zhang 001 (Theor. Comput. Sci., 2016)

Randomized Mechanisms for Selling Reserved Instances in Cloud Computing. - Jia Zhang 004; Weidong Ma; Tao Qin 001; Xiaoming Sun 001; Tie-Yan Liu (AAAI, 2017)

Efficient Delivery Policy to Minimize User Traffic Consumption in Guaranteed Advertising. - Jia Zhang 004; Zheng Wang; Qian Li 012; Jialin Zhang 001; Yanyan Lan; Qiang Li 043; Xiaoming Sun 001 (AAAI, 2017)

How to Notify a Vulnerability to the Right Person? Case Study: In an ISP Scope. - Jia Zhang 004; Hai-Xin Duan; Wu Liu; Xingkun Yao (GLOBECOM, 2017)

Near optimal algorithms for online weighted bipartite matching in adversary model. - Xiaoming Sun 001; Jia Zhang 004; Jialin Zhang 001 (J. Comb. Optim., 2017)

Analysis and Measurement of Zone Dependency in the Domain Name System. - Jian Jiang 002; Jia Zhang 004; Hai-Xin Duan; Kang Li 001; Wu Liu (ICC, 2018)

Abusing CDNs for Fun and Profit: Security Issues in CDNs' Origin Validation. - Run Guo; Jianjun Chen 005; Baojun Liu; Jia Zhang 004; Chao Zhang 008; Hai-Xin Duan; Tao Wan 004; Jian Jiang 002; Shuang Hao 001; Yaoqi Jia (SRDS, 2018)

Measuring Privacy Threats in China-Wide Mobile Networks. - Mingming Zhang; Baojun Liu; Chaoyi Lu; Jia Zhang 004; Shuang Hao 001; Hai-Xin Duan (FOCI @ USENIX Security Symposium, 2018)

A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network. - Xihan Li 001; Jia Zhang 004; Jiang Bian 002; Yunhai Tong; Tie-Yan Liu (AAMAS, 2019)

DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks. - Guolin Ke; Zhenhui Xu; Jia Zhang 004; Jiang Bian 002; Tie-Yan Liu (KDD, 2019)

Finding the best answer: measuring the optimization of public and authoritative DNS. - Jia Zhang 004; Hai-Xin Duan; Jian Jiang 002; Jinjin Liang; Jianping Wu (Sci. China Inf. Sci., 2019)

Light Multi-Segment Activation for Model Compression. - Zhenhui Xu; Guolin Ke; Jia Zhang 004; Jiang Bian 002; Tie-Yan Liu (AAAI, 2020)

CDN Backfired: Amplification Attacks Based on HTTP Range Requests. - Weizhong Li; Kaiwen Shen; Run Guo; Baojun Liu; Jia Zhang 004; Haixin Duan; Shuang Hao 001; Xiarun Chen; Yao Wang (DSN, 2020)

CDN Judo: Breaking the CDN DoS Protection with Itself. - Run Guo; Weizhong Li; Baojun Liu; Shuang Hao 001; Jia Zhang 004; Haixin Duan; Kaiwen Sheng; Jianjun Chen 005; Ying Liu 024 (NDSS, 2020)

COSEA: Convolutional Code Search with Layer-wise Attention. - Hao Wang 003; Jia Zhang 004; Yingce Xia; Jiang Bian 002; Chao Zhang 008; Tie-Yan Liu (CoRR, 2020)

Cooperative Policy Learning with Pre-trained Heterogeneous Observation Representations. - Wenlei Shi; Xinran Wei; Jia Zhang 004; Xiaoyuan Ni; Arthur Jiang; Jiang Bian 002; Tie-Yan Liu (AAMAS, 2021)

Mingling of Clear and Muddy Water: Understanding and Detecting Semantic Confusion in Blackhat SEO. - Hao Yang; Kun Du; Yubao Zhang; Shuai Hao 001; Haining Wang 001; Jia Zhang 004; Haixin Duan (ESORICS (1), 2021)

On Evaluating Delegated Digital Signing of Broadcasting Messages in 5G. - Hui Gao; Yiming Zhang 009; Tao Wan 004; Jia Zhang 004; Haixin Duan (GLOBECOM, 2021)

HDiff: A Semi-automatic Framework for Discovering Semantic Gap Attack in HTTP Implementations. - Kaiwen Shen; Jianyu Lu; Yaru Yang; Jianjun Chen 005; Mingming Zhang; Haixin Duan; Jia Zhang 004; Xiaofeng Zheng (DSN, 2022)

ValCAT: Variable-Length Contextualized Adversarial Transformations Using Encoder-Decoder Language Model. - Chuyun Deng; Mingxuan Liu; Yue Qin; Jia Zhang 004; Hai-Xin Duan; Donghong Sun (NAACL-HLT, 2022)

Encrypted Malware Traffic Detection via Graph-based Network Analysis. - Zhuoqun Fu; Mingxuan Liu; Yue Qin; Jia Zhang 004; Yuan Zou; Qilei Yin; Qi Li 002; Haixin Duan (RAID, 2022)

AF2: Adaptive Focus Framework for Aerial Imagery Segmentation. - Lin Huang; Qiyuan Dong; Lijun Wu 003; Jia Zhang 004; Jiang Bian 002; Tie-Yan Liu (CoRR, 2022)

Dynamic Relation Discovery and Utilization in Multi-Entity Time Series Forecasting. - Lin Huang; Lijun Wu 003; Jia Zhang 004; Jiang Bian 002; Tie-Yan Liu (CoRR, 2022)

LordNet: Learning to Solve Parametric Partial Differential Equations without Simulated Data. - Wenlei Shi; Xinquan Huang; Xiaotian Gao; Xinran Wei; Jia Zhang 004; Jiang Bian 002; Mao Yang 004; Tie-Yan Liu (CoRR, 2022)

Learning Physics-Informed Neural Networks without Stacked Back-propagation. - Di He 001; Shanda Li; Wenlei Shi; Xiaotian Gao; Jia Zhang 004; Jiang Bian 002; Liwei Wang 001; Tie-Yan Liu (AISTATS, 2023)

Stolen Risks of Models with Security Properties. - Yue Qin; Zhuoqun Fu; Chuyun Deng; Xiaojing Liao; Jia Zhang 004; Haixin Duan (CCS, 2023)

TsuKing: Coordinating DNS Resolvers and Queries into Potent DoS Amplifiers. - Wei Xu; Xiang Li 108; Chaoyi Lu; Baojun Liu; Haixin Duan; Jia Zhang 004; Jianjun Chen 005; Tao Wan 004 (CCS, 2023)

Under the Dark: A Systematical Study of Stealthy Mining Pools (Ab)use in the Wild. - Zhenrui Zhang; Geng Hong; Xiang Li 108; Zhuoqun Fu; Jia Zhang 004; Mingxuan Liu; Chuhan Wang; Jianjun Chen 005; Baojun Liu; Haixin Duan; Chao Zhang 008; Min Yang 002 (CCS, 2023)

NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition. - Xinquan Huang; Wenlei Shi; Qi Meng; Yue Wang 017; Xiaotian Gao; Jia Zhang 004; Tie-Yan Liu (ICML, 2023)

Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation. - Yunyang Li; Yusong Wang; Lin Huang; Han Yang; Xinran Wei; Jia Zhang 004; Tong Wang 014; Zun Wang; Bin Shao; Tie-Yan Liu (ICLR, 2024)

Bounce in the Wild: A Deep Dive into Email Delivery Failures from a Large Email Service Provider. - Ruixuan Li 008; Shaodong Xiao; Baojun Liu; Yanzhong Lin; Haixin Duan; Qingfeng Pan; Jianjun Chen 005; Jia Zhang 004; Ximeng Liu; Xiuqi Lu; Jun Shao 001 (IMC, 2024)

Low-Quality Training Data Only? A Robust Framework for Detecting Encrypted Malicious Network Traffic. - Yuqi Qing; Qilei Yin; Xinhao Deng; Yihao Chen; Zhuotao Liu; Kun Sun 001; Ke Xu 002; Jia Zhang 004; Qi Li 002 (NDSS, 2024)

TuDoor Attack: Systematically Exploring and Exploiting Logic Vulnerabilities in DNS Response Pre-processing with Malformed Packets. - Xiang Li 108; Wei Xu; Baojun Liu; Mingming Zhang; Zhou Li 001; Jia Zhang 004; Deliang Chang; Xiaofeng Zheng; Chuhan Wang; Jianjun Chen 005; Haixin Duan; Qi Li 002 (SP, 2024)

Cross the Zone: Toward a Covert Domain Hijacking via Shared DNS Infrastructure. - Yunyi Zhang; Mingming Zhang; Baojun Liu; Zhan Liu; Jia Zhang 004; Haixin Duan; Min Zhang 054; Fan Shi; Chengxi Xu (USENIX Security Symposium, 2024)

LordNet: An efficient neural network for learning to solve parametric partial differential equations without simulated data. - Xinquan Huang; Wenlei Shi; Xiaotian Gao; Xinran Wei; Jia Zhang 004; Jiang Bian 002; Mao Yang 004; Tie-Yan Liu (Neural Networks, 2024)

Decoding DNS Centralization: Measuring and Identifying NS Domains Across Hosting Providers. - Qihang Peng; Mingming Zhang; Deliang Chang; Jia Zhang 004; Baojun Liu; Haixin Duan (DSN, 2025)

Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems. - Yunyang Li; Zaishuo Xia; Lin Huang; Xinran Wei; Samuel Harshe; Han Yang; Erpai Luo; Zun Wang; Jia Zhang 004; Chang Liu 030; Bin Shao; Mark Gerstein (ICLR, 2025)

E2Former: A Linear-time Efficient and Equivariant Transformer for Scalable Molecular Modeling. - Yunyang Li; Lin Huang; Zhihao Ding; Chu Wang; Xinran Wei; Han Yang; Zun Wang; Chang Liu 030; Yu Shi; Peiran Jin; Jia Zhang 004; Mark Gerstein; et al. (CoRR, 2025)

NatureLM: Deciphering the Language of Nature for Scientific Discovery. - Yingce Xia; Peiran Jin; Shufang Xie 003; Liang He 010; Chuan Cao; Renqian Luo; Guoqing Liu; Yue Wang 017; Zequn Liu; Yuan-Jyue Chen; Zekun Guo; Yeqi Bai; et al. (CoRR, 2025)

Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems. - Yunyang Li; Zaishuo Xia; Lin Huang; Xinran Wei; Han Yang; Sam Harshe; Zun Wang; Chang Liu 030; Jia Zhang 004; Bin Shao; Mark B. Gerstein (CoRR, 2025)

UniGenX: Unified Generation of Sequence and Structure with Autoregressive Diffusion. - Gongbo Zhang; Yanting Li; Renqian Luo; Pipi Hu; Zeru Zhao; Lingbo Li; Guoqing Liu; Zun Wang; Ran Bi; Kaiyuan Gao; Liya Guo; Yu Xie; et al. (CoRR, 2025)