Linear generalization probe samples for face recognition. - Haichuan Wang; Liming Zhang 001 (Pattern Recognit. Lett., 2004)

Tale in the Multi-Core Era: Is Java Still Competitive to Host SIP Applications? - Yi Zhao; Kai Zheng 003; Haichuan Wang; Zhiguo Gao (ICC, 2009)

Understanding cross-tier delay of multi-tier application using selective invocation context extraction. - Haichuan Wang; Qiming Teng; Xiao Zhong; Peter F. Sweeney (Middleware (Companion), 2009)

Allocation wall: a limiting factor of Java applications on emerging multi-core platforms. - Yi Zhao; Jin Shi; Kai Zheng 003; Haichuan Wang; Haibo Lin; Ling Shao 002 (OOPSLA, 2009)

Using the middle tier to understand cross-tier delay in a multi-tier application. - Haichuan Wang; Qiming Teng; Xiao Zhong; Peter F. Sweeney (IPDPS, 2010)

THOR: A performance analysis tool for Java applications running on multicore systems. - Qiming Teng; Haichuan Wang; Xiao Zhong; Peter F. Sweeney; Evelyn Duesterwald (IBM J. Res. Dev., 2010)

A work-stealing scheduler for X10's task parallelism with suspension. - Olivier Tardieu; Haichuan Wang; Haibo Lin (PPoPP, 2012)

Optimizing R VM: Allocation Removal and Path Length Reduction via Interpreter-level Specialization. - Haichuan Wang; Peng Wu 001; David A. Padua (CGO, 2014)

Simple, portable and fast SIMD intrinsic programming: generic simd library. - Haichuan Wang; Peng Wu 001; Ilie Gabriel Tanase; Mauricio J. Serrano; José E. Moreira (WPMVP@PPoPP, 2014)

Vectorization of apply to reduce interpretation overhead of R. - Haichuan Wang; David A. Padua; Peng Wu 001 (OOPSLA, 2015)

Compiler and runtime techniques for optimizing dynamic scripting languages - Haichuan Wang (2015)

Joint Job Offloading and Resource Allocation for Distributed Deep Learning in Edge Computing. - Haichuan Wang; Xi Chen; Hongli Xu; Jianchun Liu; Liusheng Huang (HPCC/SmartCity/DSS, 2019)

GDS: General Distributed Strategy for Functional Dependency Discovery Algorithms. - Peizhong Wu; Wei Yang 011; Haichuan Wang; Liusheng Huang (DASFAA (1), 2020)

Joint Data Collection and Resource Allocation for Distributed Machine Learning at the Edge. - Min Chen 033; Haichuan Wang; Zeyu Meng; Hongli Xu; Yang Xu 020; Jianchun Liu; He Huang 001 (IEEE Trans. Mob. Comput., 2022)

Research on UAV Detection and Classification Based on Time-Frequency Analysis and Support Vector Machine. - Honggao Deng; Haichuan Wang; Yuanfa Ji; Xiyan Sun; Xun Cao (ICCCS, 2023)

Amelia: A Large Model and Dataset for Airport Surface Movement Forecasting. - Ingrid Navarro; Pablo Ortega-Kral; Jay Patrikar; Haichuan Wang; Zelin Ye; Jong Hoon Park; Jean Oh; Sebastian A. Scherer (CoRR, 2024)

Finite-Horizon Single-Pull Restless Bandits: An Efficient Index Policy For Scarce Resource Allocation. - Guojun Xiong; Haichuan Wang; Yuqi Pan; Saptarshi Mandal; Sanket Shah; Niclas Boehmer; Milind Tambe (AAMAS, 2025)

Robust Optimization with Diffusion Models for Green Security. - Lingkai Kong; Haichuan Wang; Yuqi Pan; Cheol Woo Kim; Mingxiao Song; Alayna Nguyen; Tonghan Wang 001; Haifeng Xu; Milind Tambe (UAI, 2025)

Rule-Bottleneck Reinforcement Learning: Joint Explanation and Decision Optimization for Resource Allocation with Language Agents. - Mauricio Tec; Guojun Xiong; Haichuan Wang; Francesca Dominici; Milind Tambe (CoRR, 2025)

Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data. - Lingkai Kong; Haichuan Wang; Tonghan Wang 001; Guojun Xiong; Milind Tambe (CoRR, 2025)

Generative AI Against Poaching: Latent Composite Flow Matching for Wildlife Conservation. - Lingkai Kong; Haichuan Wang; Charles A. Emogor; Vincent Börsch-Supan; Lily Xu; Milind Tambe (CoRR, 2025)