| 2026 | AAAI | Boosting Cross-problem Generalization in Diffusion-Based Neural Combinatorial Solver via Inference Time Adaptation. | Haoyu Lei, Kaiwen Zhou, Yinchuan Li, Zhitang Chen, Farzan Farnia |
| 2026 | AAAI | A²Flow: Automating Agentic Workflow Generation via Self-Adaptive Abstraction Operators. | Mingming Zhao, Xiaokang Wei, Yuanqi Shao, Kaiwen Zhou, Lin Yang, Siwei Rao, Junhui Zhan, Zhitang Chen |
| 2024 | ICML | Sampling is as easy as keeping the consistency: convergence guarantee for Consistency Models. | Junlong Lyu, Zhitang Chen, Shoubo Feng |
| 2023 | AAAI | Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network. | Mehrtash Mehrabi, Walid Masoudimansour, Yingxue Zhang, Jie Chuai, Zhitang Chen, Mark Coates, Jianye Hao, Yanhui Geng |
| 2023 | ICASSP | A Novel Extrapolation Technique to Accelerate WMMSE. | Kaiwen Zhou, Zhilin Chen, Guochen Liu, Zhitang Chen |
| 2023 | IJCAI | FastGR: Global Routing on CPU-GPU with Heterogeneous Task Graph Scheduler (Extended Abstract). | Siting Liu, Yuan Pu, Peiyu Liao, Hongzhong Wu, Rui Zhang, Zhitang Chen, Wenlong Lv, Yibo Lin, Bei Yu |
| 2022 | CVPR | Out-of-distribution Generalization with Causal Invariant Transformations. | Ruoyu Wang, Mingyang Yi, Zhitang Chen, Shengyu Zhu |
| 2022 | DATE | DREAMPlace 4.0: Timing-driven Global Placement with Momentum-based Net Weighting. | Peiyu Liao, Siting Liu, Zhitang Chen, Wenlong Lv, Yibo Lin, Bei Yu |
| 2022 | DATE | FastGR: Global Routing on CPU-GPU with Heterogeneous Task Graph Scheduler. | Siting Liu, Peiyu Liao, Rui Zhang, Zhitang Chen, Wenlong Lv, Yibo Lin, Bei Yu |
| 2022 | ICCAD | Batch Sequential Black-Box Optimization with Embedding Alignment Cells for Logic Synthesis. | Chang Feng, Wenlong Lyu, Zhitang Chen, Junjie Ye, Mingxuan Yuan, Jianye Hao |
| 2022 | ITC | RCANet: Root Cause Analysis via Latent Variable Interaction Modeling for Yield Improvement. | Xiaopeng Zhang, Shoubo Hu, Zhitang Chen, Shengyu Zhu, Evangeline F. Y. Young, Pengyun Li, Cheng Chen, Yu Huang, Jianye Hao |
| 2022 | UAI | Reframed GES with a neural conditional dependence measure. | Xinwei Shen, Shengyu Zhu, Jiji Zhang, Shoubo Hu, Zhitang Chen |
| 2022 | SDM | Masked Gradient-Based Causal Structure Learning. | Ignavier Ng, Shengyu Zhu, Zhuangyan Fang, Haoyang Li, Zhitang Chen, Jun Wang |
| 2021 | CVPR | CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models. | Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang |
| 2021 | ICCAD | A Unified Framework for Layout Pattern Analysis with Deep Causal Estimation. | Ran Chen, Shoubo Hu, Zhitang Chen, Shengyu Zhu, Bei Yu, Pengyun Li, Cheng Chen, Yu Huang, Jianye Hao |
| 2021 | IJCAI | Ordering-Based Causal Discovery with Reinforcement Learning. | Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang |
| 2020 | ICLR | Causal Discovery with Reinforcement Learning. | Shengyu Zhu, Ignavier Ng, Zhitang Chen |
| 2020 | KDD | Stable Learning via Differentiated Variable Decorrelation. | Zheyan Shen, Peng Cui, Jiashuo Liu, Tong Zhang, Bo Li, Zhitang Chen |
| 2019 | AISTATS | Universal Hypothesis Testing with Kernels: Asymptotically Optimal Tests for Goodness of Fit. | Shengyu Zhu, Biao Chen, Pengfei Yang, Zhitang Chen |
| 2019 | INFOCOM | A Collaborative Learning Based Approach for Parameter Configuration of Cellular Networks. | Jie Chuai, Zhitang Chen, Guochen Liu, Xueying Guo, Xiaoxiao Wang, Xin Liu, Chongming Zhu, Feiyi Shen |
| 2019 | UAI | Domain Generalization via Multidomain Discriminant Analysis. | Shoubo Hu, Kun Zhang, Zhitang Chen, Laiwan Chan |
| 2018 | ICML | Discovering and Removing Exogenous State Variables and Rewards for Reinforcement Learning. | Thomas G. Dietterich, George Trimponias, Zhitang Chen |
| 2017 | ICLR | Online Bayesian Transfer Learning for Sequential Data Modeling. | Priyank Jaini, Zhitang Chen, Pablo Carbajal, Edith Law, Laura Middleton, Kayla Regan, Mike Schaekermann, George Trimponias, James Tung, Pascal Poupart |
| 2016 | AISTATS | Online Relative Entropy Policy Search using Reproducing Kernel Hilbert Space Embeddings. | Zhitang Chen, Pascal Poupart, Yanhui Geng |
| 2016 | ICNP | Predicting future traffic using Hidden Markov Models. | Zhitang Chen, Jiayao Wen, Yanhui Geng |
| 2016 | ICNP | Online flow size prediction for improved network routing. | Pascal Poupart, Zhitang Chen, Priyank Jaini, Fred Fung, Hengky Susanto, Yanhui Geng, Li Chen, Kai Chen, Hao Jin |
| 2013 | ICDM | Nonlinear Causal Discovery for High Dimensional Data: A Kernelized Trace Method. | Zhitang Chen, Kun Zhang, Laiwan Chan |
| 2011 | IJCNN | New approaches for solving permutation indeterminacy and scaling ambiguity in frequency domain separation of convolved mixtures. | Zhitang Chen, Laiwan Chan |