Improved deep learning techniques in gravitational-wave data analysis. - Heming Xia; Lijing Shao; Junjie Zhao; Zhoujian Cao (CoRR, 2020)

Premise-based Multimodal Reasoning: A Human-like Cognitive Process. - Qingxiu Dong; Ziwei Qin; Heming Xia; Tian Feng; Shoujie Tong; Haoran Meng; Lin Xu; Tianyu Liu 001; Zuifang Sui; Weidong Zhan; Sujian Li; Zhongyu Wei (CoRR, 2021)

Premise-based Multimodal Reasoning: Conditional Inference on Joint Textual and Visual Clues. - Qingxiu Dong; Ziwei Qin; Heming Xia; Tian Feng; Shoujie Tong; Haoran Meng; Lin Xu; Zhongyu Wei; Weidong Zhan; Baobao Chang; Sujian Li; Tianyu Liu 001; et al. (ACL (1), 2022)

Lossless Speedup of Autoregressive Translation with Generalized Aggressive Decoding. - Heming Xia; Tao Ge 001; Furu Wei; Zhifang Sui (CoRR, 2022)

Lossless Acceleration for Seq2seq Generation with Aggressive Decoding. - Tao Ge 001; Heming Xia; Xin Sun 013; Si-Qing Chen; Furu Wei (CoRR, 2022)

Enhancing Continual Relation Extraction via Classifier Decomposition. - Heming Xia; Peiyi Wang; Tianyu Liu 001; Binghuai Lin; Yunbo Cao; Zhifang Sui (ACL (Findings), 2023)

Bi-Drop: Enhancing Fine-tuning Generalization via Synchronous sub-net Estimation and Optimization. - Shoujie Tong; Heming Xia; Damai Dai; Runxin Xu; Tianyu Liu; Binghuai Lin; Yunbo Cao; Zhifang Sui (EMNLP (Findings), 2023)

Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation. - Heming Xia; Tao Ge 001; Peiyi Wang; Si-Qing Chen; Furu Wei; Zhifang Sui (EMNLP (Findings), 2023)

ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories. - Heming Xia; Qingxiu Dong; Lei Li 039; Jingjing Xu 001; Tianyu Liu 001; Ziwei Qin; Zhifang Sui (EMNLP (Findings), 2023)

Bi-Drop: Generalizable Fine-tuning for Pre-trained Language Models via Adaptive Subnetwork Optimization. - Shoujie Tong; Heming Xia; Damai Dai; Tianyu Liu 001; Binghuai Lin; Yunbo Cao; Zhifang Sui (CoRR, 2023)

ImageNetVC: Zero-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories. - Heming Xia; Qingxiu Dong; Lei Li 039; Jingjing Xu 001; Ziwei Qin; Zhifang Sui (CoRR, 2023)

Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding. - Heming Xia; Zhe Yang 013; Qingxiu Dong; Peiyi Wang; Yongqi Li 001; Tao Ge 001; Tianyu Liu 001; Wenjie Li 002; Zhifang Sui (ACL (Findings), 2024)

Can Large Multimodal Models Uncover Deep Semantics Behind Images? - Yixin Yang; Zheng Li; Qingxiu Dong; Heming Xia; Zhifang Sui (ACL (Findings), 2024)

AppBench: Planning of Multiple APIs from Various APPs for Complex User Instruction. - Hongru Wang 003; Rui Wang 092; Boyang Xue; Heming Xia; Jingtao Cao; Zeming Liu; Jeff Z. Pan; Kam-Fai Wong (EMNLP, 2024)

A Survey on In-context Learning. - Qingxiu Dong; Lei Li 039; Damai Dai; Ce Zheng; Jingyuan Ma; Rui Li 094; Heming Xia; Jingjing Xu 001; Zhiyong Wu 011; Baobao Chang; Xu Sun 001; Lei Li 005; et al. (EMNLP, 2024)

Taking a Deep Breath: Enhancing Language Modeling of Large Language Models with Sentinel Tokens. - Weiyao Luo; Suncong Zheng; Heming Xia; Weikang Wang 005; Yan Lei; Tianyu Liu; Shuang Chen; Zhifang Sui (EMNLP (Findings), 2024)

Enhancing Tool Retrieval with Iterative Feedback from Large Language Models. - Qiancheng Xu; Yongqi Li 001; Heming Xia; Wenjie Li 002 (EMNLP (Findings), 2024)

How Far are LLMs from Being Our Digital Twins? A Benchmark for Persona-Based Behavior Chain Simulation. - Rui Li 094; Heming Xia; Xinfeng Yuan; Qingxiu Dong; Lei Sha; Wenjie Li 002; Zhifang Sui (ACL (Findings), 2025)

Towards Harmonized Uncertainty Estimation for Large Language Models. - Rui Li; Jing Long; Muge Qi; Heming Xia; Lei Sha; Peiyi Wang; Zhifang Sui (ACL (1), 2025)

PEToolLLM: Towards Personalized Tool Learning in Large Language Models. - Qiancheng Xu; Yongqi Li 001; Heming Xia; Fan Liu; Min Yang 005; Wenjie Li 002 (ACL (Findings), 2025)

SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration. - Heming Xia; Yongqi Li 001; Jun Zhang 069; Cunxiao Du; Wenjie Li 002 (ICLR, 2025)

TokenSkip: Controllable Chain-of-Thought Compression in LLMs. - Heming Xia; Yongqi Li 001; Chak Tou Leong; Wenjie Wang 007; Wenjie Li 002 (CoRR, 2025)

Beyond Single Frames: Can LMMs Comprehend Temporal and Contextual Narratives in Image Sequences? - Xiaochen Wang; Heming Xia; Jialin Song; Longyu Guan; Yixin Yang; Qingxiu Dong; Weiyao Luo; Yifan Pu; Yiru Wang; Xiangdi Meng; Wenjie Li 002; Zhifang Sui (CoRR, 2025)

Tutorial Proposal: Speculative Decoding for Efficient LLM Inference. - Heming Xia; Cunxiao Du; Yongqi Li 001; Qian Liu; Wenjie Li 002 (CoRR, 2025)

KNN-SSD: Enabling Dynamic Self-Speculative Decoding via Nearest Neighbor Layer Set Optimization. - Mingbo Song; Heming Xia; Jun Zhang 069; Chak Tou Leong; Qiancheng Xu; Wenjie Li 002; Sujian Li (CoRR, 2025)

Reasoning Beyond Language: A Comprehensive Survey on Latent Chain-of-Thought Reasoning. - Xinghao Chen 009; Anhao Zhao; Heming Xia; Xuan Lu; Hanlin Wang; Yanjun Chen 001; Wei Zhang 185; Jian Wang 054; Wenjie Li 002; Xiaoyu Shen 001 (CoRR, 2025)

Towards Harmonized Uncertainty Estimation for Large Language Models. - Rui Li 094; Jing Long; Muge Qi; Heming Xia; Lei Sha; Peiyi Wang; Zhifang Sui (CoRR, 2025)

From Query to Logic: Ontology-Driven Multi-Hop Reasoning in LLMs. - Haonan Bian; Yutao Qi; Rui Yang; Yuanxi Che; Jiaqian Wang; Heming Xia; Ranran Zhen (CoRR, 2025)