Papers by Zidong Wang
QiMeng-PRepair: Precise Code Repair via Edit-Aware Reward Optimization (2026.acl-long)
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Changxin Ke, Rui Zhang, Jiaming Guo, Yuanbo Wen, Li Ding, Shuo Wang, Xuyuan Zhu, Xiong Peng, Di Huang, Zidong Du, Xing Hu, Qi Guo, Yunji Chen
| Challenge: | Existing approaches to program repair are based on correctness alone. |
| Approach: | They propose a framework that mitigates over-editing and improves repair accuracy by generating buggy programs and re-edits. |
| Outcome: | The proposed framework improves repair precision by 31.4% under fix1@1, a metric that considers repair correctness and extent, and significantly increases decoding throughput when combined with speculative editing. |
HTCCN: Temporal Causal Convolutional Networks with Hawkes Process for Extrapolation Reasoning in Temporal Knowledge Graphs (2024.naacl-long)
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| Challenge: | Temporal knowledge graphs (TKGs) are powerful tools for storing and modeling dynamic facts. |
| Approach: | They propose a Hawkes process-based temporal causal convolutional network for temporal reasoning under extrapolation settings. |
| Outcome: | The proposed network is based on Hawkes process-based temporal causal convolutional network and captures the temporal evolution of facts. |