| 2026 | AAAI | Counterfactual Planning for Generalizable Agents' Actions. | Jiarun Fu, Lizhong Ding, Qiuning Wei, Yuhan Guo, Yurong Cheng, Junyu Zhang |
| 2026 | ICS | CKTI: A Domain-Specific Compiler for Lowering CUDA Kernels to Triton-IR. | Changqing Shi, Rui Chen, Yufei Sun, Yicheng Sui, Junyu Zhang, Yudong Xie, Mingda Wang, Shuangpeng Ming, Shuo Zhang, Yuzhi Zhang |
| 2026 | SIGCSE | Exploring LLMs for Generating Erroneous Examples in CS1. | Yuxuan Chen, Chenyan Zhao, Kangyu Feng, Junyu Zhang, Vedan Malhotra, Mariana Silva |
| 2025 | AAAI | DiffuseHigh: Training-Free Progressive High-Resolution Image Synthesis Through Structure Guidance. | Younghyun Kim, Geunmin Hwang, Junyu Zhang, Eunbyung Park |
| 2025 | CloudCom | From Tweets to Trades: An Investigation into the Impact of NFT Project Twitters on Market Liquidity. | Jinghan Sun, Huiyu Wang, Yusuf Shakhpaz, Junyu Zhang, Yiyang Bian, Wei Cai |
| 2025 | EMNLP | AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time. | Junyu Zhang, Runpei Dong, Han Wang, Xuying Ning, Haoran Geng, Peihao Li, Xialin He, Yutong Bai, Jitendra Malik, Saurabh Gupta, Huan Zhang |
| 2025 | ICLR | Anti-Exposure Bias in Diffusion Models. | Junyu Zhang, Daochang Liu, Eunbyung Park, Shichao Zhang, Chang Xu |
| 2025 | ICLR | DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models. | Chengke Zou, Xingang Guo, Rui Yang, Junyu Zhang, Bin Hu, Huan Zhang |
| 2025 | ICML | EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents. | Rui Yang, Hanyang Chen, Junyu Zhang, Mark Zhao, Cheng Qian, Kangrui Wang, Qineng Wang, Teja Venkat Koripella, Marziyeh Movahedi, Manling Li, Heng Ji, Huan Zhang, Tong Zhang |
| 2025 | IJCNN | Mixed Policy-Space Response Oracles. | Junyu Zhang, Feihong Yang, Jian Wang, Chao Wang, Xudong Zhang |
| 2024 | CVPR | Residual Learning in Diffusion Models. | Junyu Zhang, Daochang Liu, Eunbyung Park, Shichao Zhang, Chang Xu |
| 2024 | DSN | Real-Time Intrusion Detection and Prevention with Neural Network in Kernel Using eBPF. | Junyu Zhang, Pengfei Chen, Zilong He, Hongyang Chen, Xiaoyun Li |
| 2024 | ICASSP | Nebnet: Exploiting Node-Edge Bi-Level Network for Gene Expression Prediction. | Cui Chen, Zuping Zhang, Panrui Tang, Junyu Zhang |
| 2024 | ICLR | Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design. | Heng Dong, Junyu Zhang, Chongjie Zhang |
| 2024 | ICML | An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks. | Zhifa Ke, Zaiwen Wen, Junyu Zhang |
| 2024 | IJCNN | DCF-Net: A Dual-Coding Fusion Network based on CNN and Transformer for Biomedical Image Segmentation. | Fuyun He, Haixing Song, Guanglian Li, Junyu Zhang |
| 2024 | iLRN | Creating Authentic Historical Costumes to Augment Virtual Humans for Cultural Heritage. | Junyu Zhang, Alan Miller, Perin Westerhof Nyman |
| 2024 | WWW | ARTEMIS: Detecting Airdrop Hunters in NFT Markets with a Graph Learning System. | Chenyu Zhou, Hongzhou Chen, Hao Wu, Junyu Zhang, Wei Cai |
| 2023 | ICML | Symmetry-Aware Robot Design with Structured Subgroups. | Heng Dong, Junyu Zhang, Tonghan Wang, Chongjie Zhang |
| 2023 | ICML | Offline Meta Reinforcement Learning with In-Distribution Online Adaptation. | Jianhao Wang, Jin Zhang, Haozhe Jiang, Junyu Zhang, Liwei Wang, Chongjie Zhang |
| 2022 | AAAI | Multi-Agent Reinforcement Learning with General Utilities via Decentralized Shadow Reward Actor-Critic. | Junyu Zhang, Amrit Singh Bedi, Mengdi Wang, Alec Koppel |
| 2021 | AISTATS | Generalization Bounds for Stochastic Saddle Point Problems. | Junyu Zhang, Mingyi Hong, Mengdi Wang, Shuzhong Zhang |
| 2020 | APWEB | Fruited-Forest: A Reachability Querying Method Based on Spanning Tree Modelling of Reduced DAG. | Liu Yang, Tingxuan Chen, Junyu Zhang, Jun Long, Zhigang Hu, Victor S. Sheng |
| 2020 | HPDC | FFT-based Gradient Sparsification for the Distributed Training of Deep Neural Networks. | Linnan Wang, Wei Wu, Junyu Zhang, Hang Liu, George Bosilca, Maurice Herlihy, Rodrigo Fonseca |
| 2020 | ISPA | Predicting Residual Stress by Finding Peak Shape Using Artificial Neural Networks. | Liu Yang, Junyu Zhang, Tingxuan Chen, Wuji Lei, Xiaolong Liu |
| 2019 | ICML | A Composite Randomized Incremental Gradient Method. | Junyu Zhang, Lin Xiao |